Find Your Dream Career

Apaleo is the world's most open, API-first property management platform powering the next generation of hospitality operations. Its modular, AI-powered infrastructure enables hoteliers to customise their tech stack, automate routine work, and deliver seamless, personalised guest experiences, powered by best-in-class apps and autonomous AI agents that adapt to every stay. Why this role You are the technical voice in front of strategic customers, at a moment when hospitality is being rebuilt around AI. We are launching our own AI agent platform, and we need architects who can show operators what comes next. High trust. You own the technical answer in front of strategic customers and deals. High visibility. Your work shows up in deals, key accounts and customer stories, and it reaches Product. High freedom. You decide how to solve a problem, which tools to use and what to prototype. Fast iteration. We test ideas within days, try new technology early and share what works. Your mission Win and grow strategic accounts with technical credibility, and turn what you learn in the field into input for the product. You look at a customer's current architecture and show how an Apaleo-centred setup delivers their goals. You also help them put AI agents to work, deciding what should be an agent, what it costs and how to set it up. Sales and Account Management own the relationship and the commercial terms. You own the technical answer. What you will do Technical discovery and solution scoping. Lead discovery where a standard demo is not enough. Write clear scopes covering what Apaleo delivers natively, what needs a short-term solution and what is out of scope. Proofs of concept. Build fast, working proofs of concept (quick demos that show technical fit). Agree scope in writing first, and build in a safe test environment, never with live guest data. Agents and automations. Design and build agents and automations for customer use cases, using n8n or Make today and Apaleo's own AI agent platform as it launches. Write code where agents need deterministic steps. Hands-on delivery and short-term solutions. Work alongside the customer, building only where it unblocks a named deal, removes an adoption risk or fills a product gap. Agree an exit plan (an end date, a replacement and a named owner) before you start. Post-sale health checks and expansions. Diagnose gaps against the go-live specification, run proactive checks (for example 90 days after go-live) and scope integrations for expanding customers. Reusable assets. Turn every engagement into a reference architecture, pattern or template that the next twenty customers can use. Thought leadership. Join prospect and customer conversations on how AI will change hospitality over the next two to three years. Product feedback. Test new technology on real customer problems. Share prototypes and field evidence with Product, ending every experiment with a clear decision: adopt, hand over or drop. How you work You decide the approach, the stack and the order of work. You protect three guardrails: written scope before a proof of concept, an exit plan before a custom build and no commercial promises. You go from idea to prototype in days and show it early. You think in systems and build for reuse, not one-off projects. You share findings openly with Sales, Account Management and Product. Who you work with Sales/BD and Account Management (they call you in at defined deal triggers), Customer Success, Product, Security, Partnerships, RevOps and Senior Leadership. What you bring Must have Multiple years in solution architecture, solution engineering or technical consulting in B2B SaaS, ideally with complex software such as ERP or enterprise platforms Strong API skills: REST, authentication, webhooks and events, and data-flow design Hands-on workflow automation (n8n preferred) and practical experience building with LLM agents A systems thinker with real AI curiosity, who uses AI tools day to day Stakeholder management experience and credibility with executives and IT teams Self-direction, an ownership mindset and the discipline to say no to scope that does not advance a deal Curiosity that ends in working prototypes, not just opinions Clear, structured documentation habits Fluent English and French skills Willingness to travel, including regularly to France and the UK Strong plus Hospitality or travel experience, including hotel operations and PMS concepts (reservations, folios, rate plans, night audit) Experience with another cloud PMS, channel manager or payments integrations Enterprise architecture experience on large, multi-site projects Applied AI or ML background, or experience with MCP and agent platforms SQL and BI fundamentals How we measure success Architecture engagements and blueprints delivered each quarter Customer satisfaction with your contribution Adoption of recommended apps, integrations and agents Share of engagements served by an existing reusable pattern Revenue impact e.g. deal unblocked, AI adoption, or churn averted Your first 90 days Days 1 to 30: Learn the platform and ways of working, shadow discovery and proof of concept work, and take over open customer projects. Days 31 to 60: Lead technical discovery on live deals and run your first health check with Account Management. Days 61 to 90: Deliver a proof of concept or short-term solution end to end with an exit plan, and share your first experiment with Product. What We Offer Culture & Growth A Diverse & International Team: Work alongside passionate professionals from over 20 nationalities, bringing unique cultural perspectives, backgrounds, and experiences to shape the future of hospitality tech. Growth & Development: As we scale, so do your opportunities. You'll benefit from 360° feedback reviews, a dedicated learning budget, and plenty of chances to take on more responsibility. Our evolving career framework ensures you have increasing opportunities to learn new skills, advance your career, and make an impact. Autonomy & Ownership: Great ideas can come from anywhere. We empower you to take responsibility, make decisions, and contribute directly in an environment built on trust, transparency, and collaboration. Shape the Future of Hospitality Tech: Be part of a fast-growing scale-up transforming the hospitality industry. From day one, your work drives real impact and you'll have the freedom to bring your ideas to life. Competitive & Fair Compensation: We believe great work deserves great pay. Our salaries are competitive and guided by benchmarking data to ensure fairness across all roles and teams. We make sure to recognize and reward performance and contribution. Perks & Lifestyle Flexible & Remote Work Options: We focus on results, not clocking hours. You can work from home, the office or in a hybrid setup, with flexibility to adapt your schedule as long as it makes sense for your role, your team and our business. Team Connection: Strong connections fuel collaboration. We celebrate and connect through regular team dinners, company meetups, Oktoberfest celebrations, Christmas parties, and other offsite events. Paid Time Off: Enjoy 30 days of vacation to fully disconnect, recharge, and return inspired. Health & Wellbeing: Prioritize your health with access to hundreds of gyms, fitness studios, and wellness options through our EGYM Wellpass membership. How you make an impact joining Apaleo: Joining Apaleo means more than just taking on a role it's about driving real change in the hospitality industry. Your contributions will directly shape our innovative platform, influence company-wide decisions, and help redefine the future of hospitality tech. At Apaleo, your voice matters, your ideas are valued, and your impact is tangible. Be part of a team where your work fuels progress, collaboration sparks innovation, and growth is a shared journey. We are proud to be an Equal Opportunity and Affirmative Action Employer, committed to fostering a diverse, inclusive, and welcoming workplace. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, gender identity or expression, sex, national origin, age, marital status, disability, or any other characteristic protected by applicable law. Your personal data will be handled with the utmost care and in compliance with GDPR and relevant data protection regulations. We celebrate differences and believe that diversity enriches our team and drives innovation.

Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Become a Senior SRE for Bloomreach! Join the Fuse team — the team responsible for the item data management capabilities that connect Bloomreach Data Hub with Marketing, Search, Recommendations, and emerging Loomi agent use cases. Fuse owns and evolves the systems behind Data Hub item collections : ingesting items data, transforming and validating it, managing data schemas and lifecycle, and distributing data reliably to downstream Bloomreach products. Item collections provide a unified source of data that can be used across all Bloomreach products. Our current areas of focus include: Unified items data pipelines : processing records into structured items and keeping data synchronized with Marketing and Search destinations. Catalog APIs and lifecycle management : customer-facing and internal APIs, catalog creation and naming, schemas, destinations, migrations, and backward-compatible evolution. Scalable storage and indexing : operating and improving systems built on PostgreSQL, Bigtable, Elasticsearch, Solr. Reliable jobs execution : submission, queueing, execution, progress reporting, retries, cancellation, rate limiting, and operational tooling. Cross-product capabilities : catalog data triggers, multi-dimensional data support, custom item types, catalog data enrichment, recommendations, and semantic catalog profiles for agentic use cases. As a Senior SRE, you will be the team's reliability and operability leader . You will work alongside backend engineers, embedded QA, Product, and Engineering Management to make complex product-data systems observable, scalable, safe to release, and straightforward to operate. Fuse embraces AI-assisted engineering. We expect engineers to use modern coding agents thoughtfully to accelerate investigation, development, testing, documentation, and operational work while retaining full ownership of correctness, security, and production outcomes. Working from one of our Central European offices (Bratislava, Prague, or Brno), or remotely (Czechia, Slovakia) on a full-time basis, you'll become a core part of the Engineering organization. What challenge awaits you? As a P3 Senior SRE at Bloomreach, you are an independent reliability professional who can turn ambiguous operational problems into measurable improvements and lead initiatives end-to-end with minimal day-to-day guidance. Your challenge will be to make Fuse's distributed data platform dependable across the complete data path: customer or integration → Data Hub API → records and transformations → items → asynchronous jobs execution engine → storage and indexes → Marketing, Search, Recommendations, and Loomi consumers Your responsibilities a. Platform reliability and observability Own and improve the reliability posture of Fuse services, workers, APIs, queues, storage systems, and destination synchronization pipelines. Establish meaningful SLIs, SLOs, and error budgets for customer-facing APIs, asynchronous jobs, catalog data freshness, destination synchronization, and indexing. Build end-to-end observability across Data Hub item collections, from API request and job submission through processing, persistence, indexing, and downstream delivery. Ensure engineers can trace a workspace, item collection, catalog, or job across services without manually correlating disconnected logs and database records. Create and maintain actionable dashboards, alerts, and service health views using Grafana, Prometheus-compatible metrics, OpenTelemetry, PagerDuty, and GCP tooling. Detect missing, stalled, duplicated, or inconsistent processing before customers or downstream teams report it. Improve capacity planning and autoscaling using workload telemetry, queue depth, processing throughput, latency, memory usage, storage growth, and customer-level traffic patterns. Reduce noisy alerts and replace symptom-based monitoring with signals tied to customer impact. b. Reliability of catalog storage and indexing Improve the availability, scalability, and operability of catalog data across PostgreSQL/Cloud SQL, Bigtable, Elasticsearch, GCS, Kafka, and related storage systems. Support catalog placement, routing, index lifecycle, shard management, safe migration, and recovery across multiple Elasticsearch clusters. Develop safeguards for full replacements, delta updates, deletions, schema changes, destination changes, and catalog reindexing. Define and automate data-consistency checks between source records, transformed items, job state, Bigtable, Elasticsearch, and downstream destinations. Help establish practical platform limits and quotas for catalog size, API traffic, job concurrency, queue depth, payload size, and expensive operations. Partner with engineers on performance testing for large catalogs and high-throughput customer workloads. c. Infrastructure, deployments, and release safety Own and evolve Kubernetes configuration and operational infrastructure for Fuse components. Improve deployment automation, progressive rollout, rollback, and validation across development and production environments. Make coordinated releases safer when changes span app/app , Fuse workers, Kubernetes configuration, and PostgreSQL migrations. Automate operational procedures that currently depend on manual commands, one-off scripts, or specialist knowledge. Maintain CI/CD pipelines with tests, linters, dependency management, security checks, image publication, and release verification. Create reusable tooling for local development, ephemeral environments, end-to-end testing, load testing, and production diagnosis. Ensure runbooks remain executable and are validated through exercises rather than existing only as documentation. d. Incident management and L3 support Participate in and help improve the Fuse L3/on-call rotation . Lead incident investigation, mitigation, stakeholder communication, and follow-up for Fuse-owned systems. Use logs, metrics, traces, database state, queue state, and Kubernetes signals to diagnose failures across distributed workflows. Build safe operational tools for common support activities such as job tracing, queue inspection, rate-limit diagnosis, catalog health checks, and index recovery. Facilitate blameless incident reviews and ensure resulting actions address root causes rather than only immediate symptoms. Improve the handoff between customer support, L2, Fuse L3, Infrastructure, and dependent engineering teams. Reduce recurring support demand by turning incident knowledge into safeguards, automation, tests, dashboards, and clear documentation. e. Security, isolation, and compliance Help Fuse meet Bloomreach security and compliance requirements, including ISO and SOC 2 controls. Enforce least-privilege access, workload identity, service-level authentication and authorization, secret rotation, encryption, and auditability. Protect customer isolation across workspaces, item collections, projects, accounts, databases, indexes, buckets, and asynchronous jobs. Ensure operational tooling and incident procedures respect production-access restrictions and PII-handling requirements. Partner with engineering teams to make security controls observable and testable rather than relying on undocumented assumptions. f. Reliability by design Participate early in the design of new Fuse capabilities so reliability, recovery, observability, limits, and operational ownership are defined before implementation. Review designs for failure modes, retry behavior, idempotency, backpressure, ordering, consistency, timeout handling, cancellation, and safe rollout. Clarify ownership boundaries and service contracts with teams including Campaigns, Data Pipeline, Integrations, Discovery, Recommendations, Infrastructure, Frontend, and QA. Help teams choose architectures that balance immediate delivery with long-term operability and cost. Coach engineers in production readiness, operational testing, debugging, and sustainable on-call practices. Our tech stack Primary languages: Go, Python, SQL APIs and application: REST APIs, Python application monolith, Go workers and services, Java Infrastructure: GCP, Kubernetes/GKE, internal Kubernetes deployment tooling Databases and storage: PostgreSQL/Cloud SQL, Bigtable, Elasticsearch, GCS, MongoDB, Redis Messaging and coordination: Kafka, ETCD, asynchronous job queues Observability: Grafana, Prometheus-compatible metrics, OpenTelemetry, GCP Logging and Monitoring, PagerDuty CI/CD and collaboration: GitLab, Jira, Confluence Testing: Go and Python unit/integration tests, API and end-to-end automation, performance testing AI-assisted engineering: Claude Code, Cursor, Copilot, Gemini CLI, or comparable tools You do not need to have used every technology listed. You should, however, have operated distributed production systems and be comfortable learning unfamiliar components while diagnosing real incidents. Your qualifications Professional experience Impact You can show how your reliability work improved customer outcomes, engineering velocity, deployment confidence, or operational sustainability. You have introduced practices or tooling that changed how a team builds and operates production systems. You can define meaningful reliability measures and demonstrate improvement using data. Ownership You embrace the you build it, you run it principle and remain accountable from design through production operation. You can lead ambiguous reliability initiatives without requiring a fully prescribed solution. You take incidents from detection through mitigation, root-cause analysis, and prevention. You are cost-aware and use telemetry, capacity planning, and architecture—not guesswork—to manage cloud spend. Systematic approach You treat observability, limits, runbooks, rollback, idempotency, and recovery as part of the product design. You design for partial failure in distributed systems. You distinguish symptoms from root causes and prioritize systemic improvements over repeated manual intervention. You are comfortable working in systems where a single customer operation crosses multiple services, queues, databases, and team boundaries. Data-driven engineering You use metrics, logs, traces, profiling, and workload data to form and validate hypotheses. You can turn operational telemetry into actionable feedback for developers and Product. You are comfortable analyzing throughput, latency, saturation, error rates, queue behavior, database performance, and storage growth. Technical skills Strong hands-on experience operating services on Kubernetes in a major cloud environment, ideally GCP. Strong experience with observability and incident diagnosis for distributed systems. Experience with Go or Python ; practical ability in both is a strong advantage. Experience operating at least one relational database, preferably PostgreSQL or Cloud SQL. Experience with one or more large-scale data or indexing systems such as Bigtable, Elasticsearch/OpenSearch, Kafka, GCS, or comparable technologies. Experience designing or operating asynchronous job-processing systems, queues, workers, and retry mechanisms. Experience with CI/CD, Infrastructure as Code, deployment automation, and safe database migrations. Understanding of API reliability, rate limiting, backpressure, idempotency, and multi-tenant isolation. Comfort participating in an on-call rotation and responding to production incidents. Ability to work effectively in a distributed, remote-first team. Practical use of AI coding tools to accelerate investigation and implementation without outsourcing engineering judgment. Strongly preferred Experience operating catalog, product-data, ingestion, transformation, or indexing platforms . Experience with large Elasticsearch/OpenSearch clusters, shard management, index lifecycle, routing, or reindexing. Experience with Bigtable or another distributed wide-column database. Experience designing consistency validation across multiple storage or indexing systems. Experience with customer-facing data APIs, high-volume bulk ingestion, or full and incremental synchronization. Familiarity with product catalogs used by search, recommendations, marketing, or personalization systems. Experience coordinating reliability improvements across several engineering teams. Experience working in an environment with ISO, SOC 2, data-isolation, retention, and audit requirements. Personal qualities Ownership and accountability — you stay with a problem until it is understood, resolved, and less likely to recur. Systematic thinking — you identify patterns and root causes instead of repeatedly treating symptoms. Pragmatism — you balance reliability, delivery speed, complexity, and cost. Clear communication — you explain technical risks and trade-offs to engineers, Product, Support, and other stakeholders. Collaborative leadership — you raise the team's operational capability rather than becoming the only person who can operate the system. Customer awareness — you connect technical reliability to catalog freshness, data correctness, product availability, and customer trust. Continuous improvement — you are comfortable revisiting assumptions and improving systems incrementally. Remote-first effectiveness — you communicate asynchronously, document decisions, and make progress across time zones. Your success story In 30 days Get to know the Fuse team, its engineers, embedded QA, Product partner, Engineering Manager, and key cross-team collaborators. Complete Bloomreach engineering onboarding and set up your development environments. Understand the primary Fuse domains: Data Hub item collections, Catalogs, job execution and reporting, APIs, storage, indexing, and destinations. Map the core request flows and data paths through Fuse owned and downstream products. Review existing dashboards, alerts, L3 procedures, release practices, recent incidents, and known operational risks. Shadow the L3/on-call rotation and learn the team's production-access and escalation procedures. In 90 days Begin contributing to the Fuse L3/on-call rotation with support from experienced team members. Resolve production or pre-production issues using logs, metrics, job state, database state, and distributed traces. Deliver your first meaningful reliability improvement. Define or improve SLIs and SLOs for at least one critical Fuse workflow. Contribute to the production-readiness review of an active Fuse project. In 180 days Own the reliability posture of at least one major Fuse domain end-to-end. Drive measurable improvement in one or more of: Availability or successful job completion. Overall data freshness. Mean time to detect and recover. Alert signal-to-noise ratio. Deployment and migration safety. Processing throughput or infrastructure efficiency. L3 support effort and recurring incident volume. Lead an incident review or reliability initiative involving multiple teams. Establish reusable operational patterns that Fuse engineers can apply to new services and features. Be a trusted partner in architecture discussions, ensuring new catalog capabilities are observable, scalable, recoverable, secure, and on-call friendly from day one. #LI-KP1 #LI-KP1 The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above. Base Salary Range €41.600—€52.000 EUR More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. The Bloomreach Glassdoor page elaborates on our stellar 4.7/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program - participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) Well-being: The Employee Assistance Program -- with counselors -- is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000! We reward & celebrate work anniversaries -- Bloomversaries! (Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands. The Technical Account Manager is a technical team member responsible for all aspects of the planning, architecture, coordination, and management of professional services engagements. The focus is on architecting and project management of availability solutions, including data protection and monitoring. The Technical Account manager is an expert in the areas of Data Management, Data Analytics, Business Continuity, Data Center, Cloud, Operating Systems, Networking, Storage, and Virtualization. Location: remote, France (Work from Home combined with face-to-face customer visits) What You'll Do Provide input to the writing of proposals and Statements of Work Support delivery implementation and consulting services to meet Veeam Software solution design and deliverables Provide overall project guidance (Project plans, Schedules, Communication Plans, Resource plans, Status updates, etc.) Assist with assessment and design of solutions as well as post-installation issues Assist with Veeam Software solution implementation effort estimation Create white papers, solutions guides, best practices, custom documentation, etc. Deliver onsite knowledge transfer on Veeam Software solutions Document configuration and completed activities Analyse installed environments and guide optimal Veeam Software configurations Facilitate communication between client and Veeam support Identify additional needs within the client's environment that can be resolved with Veeam Software solutions Provide input for improvement of process and documentation Overnight business stays to meet company goals and objectives, up to 30% travelling What You'll Bring: VMware VCP, Microsoft MCSE or equivalent experience Prince 2, ITIL, PMP, or equivalent experience Bachelor's Degree in technology required (A combination of education and experience will be considered) Hands-on experience with Veeam's Core products Proven Consulting and Project Management experience Excellent communication, interpersonal and relationship-building skills Significant experience and understanding of virtualisation technologies such as VMware and Hyper-V Experience with disruptive storage systems and technologies (Nimble, Nexsan, Actifio, Veeam, etc.) Hands-on experience with networking protocols and equipment (Fibre Channel, Ethernet, Cloud services) Experience with traditional storage and backup architectures (EMC, NetApp, IBM, HP/3PAR, Hitachi, Dell, etc.) Knowledge of Kubernetes is a plus Hands-on experience with Enterprise applications (Exchange, SQL, Oracle, etc.) Experience with Data Management, Data Protection, Data Analytics Extensive experience with Data Center, Business Continuity and Operating Systems Experience successfully managing multiple simultaneous projects and accounts Working knowledge of Cloud technologies, capabilities, and protocols Business proficient in French and English What You'll Get: 25 paid vacation days plus RTT days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares Mandatory public health insurance with broad medical coverage Employer-paid private medical, dental, optical, and wellness plan through Axa, with options for dependents Life insurance with enhanced coverage above the Social Security ceiling State and supplementary pension contributions by Veeam Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops and learning events like our annual Global Day of Learning Please note: If the applicant is permanently present outside France, Veeam reserves the right to decline consideration of the application for the job. A remote job is only possible in case the employee is located in France. #LI-JB1 Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice , which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces.   This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements .   What you'll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions . Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners . Curiosity about AI-native a nalytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus   At A sana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we'll offer Generous, transparent and fair compensation system (base salary and RSUs) Health insurance with dental  Breakfast and lunch catering on the da ys that you work from the office Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBo oks with all necessary accessories For this role, the estimated base salary range is between $106,000 - $120,000 CAD annually . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the Role: Business Operations at Motive is a highly cross-functional group that is responsible for developing our go-to-market strategy, improving go-to-market efficiency, and ensuring that we are hitting our growth targets. Our team is maniacal about and energized by the challenge of getting our hands dirty in any problem across Sales, Marketing, or Customer Success, and finding ways to help us scale more efficiently. We are a low-ego, highly-motivated group that collaborates with cross-functional stakeholders to drive alignment and execution. Examples of major strategic initiatives Business Operations takes on are optimizing the structure of our sales force, experimenting with new sales and marketing motions, and determining how we can leverage AI to improve operations. What You'll Do: Develop go-to-market strategies by analyzing market trends, customer segmentation, and Motive's competitive landscape. Collaborate with senior leaders to prioritize high-growth opportunities and drive strategic execution, ensuring alignment across all go-to-market functions. Lead cross-functional initiatives that connect the dots across different functions and stakeholders. You will be the driving force behind high-impact, high-visibility strategic initiatives that are critical to scaling our business by facilitating communication and collaboration between departments to ensure alignment and effective execution. Create robust analytical models and dashboards to provide actionable insights into go-to-market and product performance. You will take a hands-on approach to proactively identify trends, opportunities, and risks, translating data into clear recommendations for optimizing commercial results - leveraging AI throughout the process to drive scale and efficiency. Champion operational efficiency by continuously identifying and addressing process inefficiencies - you never stop asking "can we be doing this better?" Design and implement innovative solutions to streamline workflows, enhance productivity, and drive a culture of continuous improvement across the organization. What We're Looking For: 6+ years of relevant experience in consulting, banking, private equity, or Strategy & Operations, combined with in-house at a SaaS company Recent experience at a hypergrowth and rapidly scaling SaaS company Recent Bachelor's degree required; MBA is a plus Advanced communication, presentation, and organization skills Executive presence and comfort communicating with the C-suite Exceptional spreadsheet / data management skills, SQL proficiency preferred Expert with Google Sheets & Excel, with the ability to build data models Proficient in AI tools and comfortable leveraging AI to maximize effectiveness of daily work Intellectual curiosity supported by exceptional analytical skill Strong, demonstrated leadership capabilities Experience working on cross-functional projects with various stakeholders and a demonstrated expertise in managing such projects Able to work in ambiguous, fast paced, environments under tight and unpredictable timelines Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here . The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. Regarding US-based roles, depending on your role and primary work location, Motive Technologies, Inc. ("Employer") discloses candidates may be required to execute a non-compete covenant with the Employer. This requirement does not apply to lawyers, interns, or employees working in CA, MN, MT, ND, OK, or where otherwise prohibited by law. Non-compete covenant terms in all other jurisdictions will be subject to the applicable statutory requirements, including but not limited to, procedures, industry related prohibitions, or salary and compensation thresholds. All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.

About Us Since 2013, we've been building a CRM that gets out of your way and helps your team sell more, faster. Now we're building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. About the Role Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data. Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We're hiring our first dedicated Product Security Engineer to make that work systematic. You'll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You'll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you'll fix the problem yourself. Other times you'll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly. You'll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You'll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering , compliance (SOC 2) goals, audits, and corporate security. This role is a new one at Close. You'll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk. Our stack Our backend is primarily Python, with Flask and FastAPI services and TaskTiger and Temporal handling much of our asynchronous work. We expose REST and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis. Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native. We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines. For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path. We love open sourcing our code and ideas on our GitHub and on The Making of Close , our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark , TaskTiger , LimitLion and ciso8601 . AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we're embracing and find deeply exciting. You are An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better. Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems. Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix. An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise. AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials. Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner. Comfortable working across the business. You'll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix. Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress. You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you. You will The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include: Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations. Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don't. Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere. Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues. Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps. Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill. Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team. Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review. Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence. Tech you'll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose. Benefits Compensation: Competitive pay plus an organization-wide goal-based bonus Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay Parental Leave: Paid leave for primary and secondary caregivers Sabbatical: A 1-month paid sabbatical every 5 years with the team Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability 401k (US residents): We match your contributions up to 6%, vested immediately Our Values Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it's hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others Learn More Listen to our CEO and Founder, Steli Efti, tell the story of Close's journey in the $0-30m Blueprint . Watch our culture video from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo ! Our Hiring Process We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Our Vision & Products EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI , we're shaping what it means to connect with AI. With 50 million users and counting , we're not just building products — we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform , redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first . And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) Your Role We are looking for a Trust & Safety Product Manager to own the product and technical delivery of our compliance and safety initiatives across our platforms. You will turn safety requirements into effective product features, moderation capabilities, third-party integrations, and measurable improvements. Working closely with Compliance, Engineering, AI/ML, Product, and Customer Support, you will help us identify risks earlier, build safeguards into new features, and continuously improve how our safety systems perform. This is a newly created role within our Product team, working directly with our CTO, Michael Monin and our Legal & Safety Lead, Maxwelle Sokol . You will have significant ownership from the outset and the opportunity to shape how the safety product function develops as the company continues to grow. Our platform serves adults and permits lawful adult content. We are looking for someone who can navigate sensitive, context-dependent issues thoughtfully, protecting users and enforcing clear boundaries without unnecessarily restricting legitimate expression. Here's what you can expect: Key Responsibilities Safety & legal product strategy and delivery. Translate safety policies, legal requirements (e.g., in online safety and AI-specific laws such as the EU AI Act), incident findings, and user feedback into clear product requirements, acceptance criteria, and engineering work. Drive initiatives from problem definition through implementation, testing, launch, and ongoing improvement. Internally developed moderation technologies . Own the product side of improvements to our in-house moderation systems, including our proprietary LLM technology EverGuard. Partner with Engineering and AI/ML teams on, e.g., detection capabilities, moderation rules and thresholds, and appropriate interventions across user inputs and AI-generated outputs. Third-party safety partnerships and integrations . Lead the technical and product lifecycle of third-party safety partnerships, from identifying needs and evaluating providers to implementation, testing, rollout, and ongoing performance management. Safety dashboards, monitoring, and quality assurance . Establish dashboards and a recurring QA that help us proactively identify emerging issues, prevent harmful content, and ensure that our T&S measures are working as intended. Red teaming and adversarial testing . Own our testing for how moderation systems and product safeguards respond to deliberate misuse and difficult edge cases. Track findings through remediation, retesting, and closure—not just delivery of a report. Trust and safety reviews for new features . Establish and run a dedicated T&S review for new features, with proportionate reviews for material changes to existing features, models, and integrations. Engage early in product design to identify foreseeable misuse, affected users, and appropriate safeguards. Incident follow-through and continuous improvement . Coordinate the product and engineering response to significant safety issues, working with colleagues responsible for incident management, policy, and user support. Learn more about our Trust & Safety infrastructure in our Trust & Safety Hub . Your Qualifications Data-driven product decisions that align with legal/ethical standards: You can name the metrics you want to influence, explain why it matters, and say whether your work actually moved them. You've run A/B tests, product experiments, data deep-dives, or lightweight user research and used the findings to shape what was built next. You can assess risks associated with user-generated content, transactions, and interactions, and translate these into policies that align with legal and ethical standards, trackers/dashboards, and strategic planning; Content moderation and AI guardrails : You understand how product realities and safety requirements interact on a tech platform; you explore strategies for efficient and scalable content moderation, including automation, machine learning, human review and user reporting. Legal/safety work experience : You have worked closely with trust and safety and compliance requirements and understand how to translate and implement these for a consumer-facing product; Collaborative mindset and communication : You work cross-functionally with engineering, legal, operations, and customer support teams — these are your partners and support system, not your adversaries or a box to be checked. You ask the right questions, challenge assumptions constructively, and are fully fluent and comfortable in English; AI fluency: You are completely comfortable working with and leveraging AI tools. You actively seek out and experiment with new tools and techniques without waiting for a project or manager to require them; You are point person for third-party partnerships: You proactively test and can autonomously handle discussions with third-party tools and integrations that affect our compliance and safety posture; You take ownership and move without waiting for certainty: Comfortable with ambiguity, you create clarity by investigating, building, testing, and learning rather than waiting for a complete brief. You balance execution against planning, address blockers early, and take responsibility for the outcome rather than waiting to be told what to do, caring more about reaching the right result than following a fixed process; You are comfortable with the product category: you are fully comfortable building products based on uncensored models and content; Bonus points You have previous legal/compliance education Professional experience or interest in AI Experience with consumer-facing features, particularly in the entertainment or gaming industry Soft Skills Strong communication & collaborative skills (perfectly fluent in English) Goal-oriented, ownership and commitment ⚡️ Doer mindset - we are moving fast and need people who can balance execution, planning, and strategy Humble - willing to learn, open to feedback #NSFW - Comfortable reviewing and discussing uncensored AI-generated content and NSFW material We believe strongly that information can be learned, but effort and motivation cannot. If this role appeals to you but you don't have hands-on experience in all the fields listed in this job description, apply anyway and tell us why you'd be a good fit! Why EverAI? Exponential Growth : From 50M users in 2 years, to 100M next — and 500M beyond Track Record of Category-Creating Innovation : We consistently launch world-first AI applications — setting the pace, not following it Global Impact : Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership : A senior team that's launched, scaled, and exited & IPO'd multiple scale ups — now fully focused on reshaping AI companionship Elite Remote Team : 100% remote and built to win — world-class talent from Tier 1 tech companies , with a culture of ownership, velocity, and radical creativity ️ Ethical Core : Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology , ensuring responsible development at scale What We Offer ✍️ Contract Type: We prefer B2B, but we're flexible, what matters is long-term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset ‍‍‍ Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍ Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows * Compensation: Our salary ranges are set based on role level, scope, location, and market data, and applied consistently regardless of candidate background or negotiation history. The final offer within the published range reflects assessed experience and scope. Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech , led by an exec team who've launched, scaled, and exited multiple companies . We move fast, and care deeply about what we build — and who we build it with. We're looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that's you — reach out and apply!

Our Vision & Products EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI , we're shaping what it means to connect with AI. With 50 million users and counting , we're not just building products — we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform , redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first . And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) Your Role We are looking for a Trust & Safety Product Manager to own the product and technical delivery of our compliance and safety initiatives across our platforms. You will turn safety requirements into effective product features, moderation capabilities, third-party integrations, and measurable improvements. Working closely with Compliance, Engineering, AI/ML, Product, and Customer Support, you will help us identify risks earlier, build safeguards into new features, and continuously improve how our safety systems perform. This is a newly created role within our Product team, working directly with our CTO, Michael Monin and our Legal & Safety Lead, Maxwelle Sokol . You will have significant ownership from the outset and the opportunity to shape how the safety product function develops as the company continues to grow. Our platform serves adults and permits lawful adult content. We are looking for someone who can navigate sensitive, context-dependent issues thoughtfully, protecting users and enforcing clear boundaries without unnecessarily restricting legitimate expression. Here's what you can expect: Key Responsibilities Safety & legal product strategy and delivery. Translate safety policies, legal requirements (e.g., in online safety and AI-specific laws such as the EU AI Act), incident findings, and user feedback into clear product requirements, acceptance criteria, and engineering work. Drive initiatives from problem definition through implementation, testing, launch, and ongoing improvement. Internally developed moderation technologies . Own the product side of improvements to our in-house moderation systems, including our proprietary LLM technology EverGuard. Partner with Engineering and AI/ML teams on, e.g., detection capabilities, moderation rules and thresholds, and appropriate interventions across user inputs and AI-generated outputs. Third-party safety partnerships and integrations . Lead the technical and product lifecycle of third-party safety partnerships, from identifying needs and evaluating providers to implementation, testing, rollout, and ongoing performance management. Safety dashboards, monitoring, and quality assurance . Establish dashboards and a recurring QA that help us proactively identify emerging issues, prevent harmful content, and ensure that our T&S measures are working as intended. Red teaming and adversarial testing . Own our testing for how moderation systems and product safeguards respond to deliberate misuse and difficult edge cases. Track findings through remediation, retesting, and closure—not just delivery of a report. Trust and safety reviews for new features . Establish and run a dedicated T&S review for new features, with proportionate reviews for material changes to existing features, models, and integrations. Engage early in product design to identify foreseeable misuse, affected users, and appropriate safeguards. Incident follow-through and continuous improvement . Coordinate the product and engineering response to significant safety issues, working with colleagues responsible for incident management, policy, and user support. Learn more about our Trust & Safety infrastructure in our Trust & Safety Hub . Your Qualifications Data-driven product decisions that align with legal/ethical standards: You can name the metrics you want to influence, explain why it matters, and say whether your work actually moved them. You've run A/B tests, product experiments, data deep-dives, or lightweight user research and used the findings to shape what was built next. You can assess risks associated with user-generated content, transactions, and interactions, and translate these into policies that align with legal and ethical standards, trackers/dashboards, and strategic planning; Content moderation and AI guardrails : You understand how product realities and safety requirements interact on a tech platform; you explore strategies for efficient and scalable content moderation, including automation, machine learning, human review and user reporting. Legal/safety work experience : You have worked closely with trust and safety and compliance requirements and understand how to translate and implement these for a consumer-facing product; Collaborative mindset and communication : You work cross-functionally with engineering, legal, operations, and customer support teams — these are your partners and support system, not your adversaries or a box to be checked. You ask the right questions, challenge assumptions constructively, and are fully fluent and comfortable in English; AI fluency: You are completely comfortable working with and leveraging AI tools. You actively seek out and experiment with new tools and techniques without waiting for a project or manager to require them; You are point person for third-party partnerships: You proactively test and can autonomously handle discussions with third-party tools and integrations that affect our compliance and safety posture; You take ownership and move without waiting for certainty: Comfortable with ambiguity, you create clarity by investigating, building, testing, and learning rather than waiting for a complete brief. You balance execution against planning, address blockers early, and take responsibility for the outcome rather than waiting to be told what to do, caring more about reaching the right result than following a fixed process; You are comfortable with the product category: you are fully comfortable building products based on uncensored models and content; Bonus points You have previous legal/compliance education Professional experience or interest in AI Experience with consumer-facing features, particularly in the entertainment or gaming industry Soft Skills Strong communication & collaborative skills (perfectly fluent in English) Goal-oriented, ownership and commitment ⚡️ Doer mindset - we are moving fast and need people who can balance execution, planning, and strategy Humble - willing to learn, open to feedback #NSFW - Comfortable reviewing and discussing uncensored AI-generated content and NSFW material We believe strongly that information can be learned, but effort and motivation cannot. If this role appeals to you but you don't have hands-on experience in all the fields listed in this job description, apply anyway and tell us why you'd be a good fit! Why EverAI? Exponential Growth : From 50M users in 2 years, to 100M next — and 500M beyond Track Record of Category-Creating Innovation : We consistently launch world-first AI applications — setting the pace, not following it Global Impact : Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership : A senior team that's launched, scaled, and exited & IPO'd multiple scale ups — now fully focused on reshaping AI companionship Elite Remote Team : 100% remote and built to win — world-class talent from Tier 1 tech companies , with a culture of ownership, velocity, and radical creativity ️ Ethical Core : Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology , ensuring responsible development at scale What We Offer ✍️ Contract Type: We prefer B2B, but we're flexible, what matters is long-term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset ‍‍‍ Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍ Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows * Compensation: Our salary ranges are set based on role level, scope, location, and market data, and applied consistently regardless of candidate background or negotiation history. The final offer within the published range reflects assessed experience and scope. Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech , led by an exec team who've launched, scaled, and exited multiple companies . We move fast, and care deeply about what we build — and who we build it with. We're looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that's you — reach out and apply!

Senior Software Engineer About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences . We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. About the Role We are looking for a product-focused Senior Software Engineer to join our Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools . It suits "T-shaped" engineers who thrive on autonomy and technical leadership. You'll build and maintain highly scalable distributed systems that power travel experiences for millions of users globally. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. This position is open to candidates based within a commutable distance (generally up to 1.5 hours) of one of our office hubs in London, Oxford, Krakow or Lisbon. What You'll Do Lead Technical Design: Own features end-to-end, leading the design and implementation of highly visible features while balancing security, privacy, and performance. Translate Strategy to Action: Work with Product and Data partners to turn high-level business goals into clear technical specifications, often serving as the technical lead for multi-quarter initiatives. Elevate the Team: Set the bar for code quality, lead the adoption of review standards, and mentor junior and mid-level engineers. Master Agentic AI: Use AI tools as a strategic partner to plan approaches, decompose ambiguous work, and establish new standards for monitoring and reliability. Architect for Resilience: Define the operational strategy and design highly fault-tolerant architectures, proactively identifying structural risks and setting the team-wide standards for automation, monitoring, and long-term stability. Optimize Systems: Actively look for opportunities to simplify, consolidate, or retire legacy code to reduce complexity and increase team velocity. Skills & Experience We typically look for 5+ years' experience, following a Bachelor's degree or above in Comp Science or a related field. Distributed Systems Expertise : Deep understanding of concurrent programming and experience building high-performance, scalable backend systems in cloud environments. Analytical Mindset: A habit of asking "how will we know this worked?" and using operational data or experiment results to validate every significant technical decision. Full-Stack Proficiency: Strong experience in at least one modern backend language (e.g., Java, C#, Go, Python) and familiarity with modern front-end frameworks. AI Coding: you are fluent coding with either Cursor or Codex/Claude/Open Code. Navigating Ambiguity: Comfortable making rational tradeoffs between non-functional requirements and delivery speed in an evolving environment. Collaborative Leadership: Proven ability to build relationships across disciplines and communicate technical trade-offs to non-technical partners. We'd love to see experience with NoSQL databases, GraphQL, Kafka, or containerization (Docker/Kubernetes). Experience building tools or abstractions that provide leverage to an entire engineering team is also a significant plus. We don't expect you to know everything on day one. More than any specific tool, we value curiosity and the ability to solve problems creatively. We value engineers from different technical backgrounds. You can complete our coding interview exercises in any language of your choice, but need to be open to working within the Java ecosystem when you join! What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you'd like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers!

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. What You'll Be Responsible For In this role, you'll: Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. How You'll Think Recursive Thinking You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. Inversion Thinking You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-Native Execution You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer. You Might Be a Good Fit If You Must Have Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar. Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. Have done deep API work against the systems work actually lives in , and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward. Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. Strong Signal Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. You have built an internal platform that non-engineers adopted voluntarily , and can describe what you changed after watching them use it. What Success Looks Like The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically. The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we're building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family's health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It's a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it's in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we're a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It's faster, safer, cheaper, and, above all, way better. We're backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The Role: We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities. What you'll do: Create and maintain complex, scalable data models in Snowflake using dbt. Expose datasets effectively in BI tooling to enable robust self-service analytics. Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows. Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking. Activate data by pushing it from Snowflake into other operational tools. Proactively identify and raise data quality issues to the respective process owners for resolution. Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization. Mentor junior analytics engineers, fostering knowledge-sharing and professional growth. We'd love to hear from you if you: Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake. Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders. Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems. Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively. Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions. Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment. Everyone is welcome at Paddle At Paddle, we're committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don't care if, or where, you studied, what you look like or where you're from. We're more interested in your craft, curiosity, passion for learning and what you'll add to our culture. We encourage you to apply even if you don't match every part of the job ad, especially if you're part of an underrepresented group. Please let us know if there's anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We're committed to building a diverse team where everyone feels safe to be their authentic self. Let's grow together. Why you'll love working at Paddle We're a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: Paddle Together - "None of us, is as smart as all of us" Paddle Simply - "Simple can be harder than complex: you have to get your thinking clean to make it simple" Paddle for others - "We can realise our wildest dreams, so long as we help enough other people to realise theirs" We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We're a 'digital-first' company , which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) In North America: Austin, TX (USA) and Toronto (Canada) Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.

Senior Data Scientist [Data] • [Vancouver, BC]   We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products.    Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.   This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve   Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate best practices across teams Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana's value proposition. About you 4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product,engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity. Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms. Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy. Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.  Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala). Familiarity with statistical methods including experimental design, regression, causal inference   At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer   Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.   For this role, the estimated base salary range is between CAD 176,000-200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.   In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.   We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:   Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.   #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.   About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.