Find Your Dream Career

Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe's leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position As a Lead Backend Engineer in the Service Standards team, you will shape how services are built, deployed, and operated across all of Vinted. You will work closely with a team on the development of our core service framework—providing engineering teams with golden paths, robust service contracts, standardized tooling, and performance benchmarks to ensure high reliability and developer velocity at scale. You will sit in the Service Standards team, part of the Service Ecosystem domain, reporting to the Engineering Manager of that team. The Service Standards team is responsible for standardizing service startup, consumer APIs, and foundational backend frameworks across Vinted's engineering landscape. Within it, this is a senior individual-contributor role combining technical leadership with high autonomy—you will define architectural directions, establish best practices, and guide engineers across domains without requiring full management overhead. You will collaborate closely with platform, observability, and product engineering teams to ensure our service framework and standards seamlessly integrate into daily workflows. Your work will directly impact developer experience, platform reliability, and system performance as Vinted continues to scale. In this position, you'll Lead the technical direction and design around service standards and golden paths. Define and evolve company-wide service standards, including consumer APIs, service contracts, startup routines, and performance guidelines. Build reusable backend libraries, tools, and scaffolding to streamline new service creation and maintenance. Partner with backend engineers across domains to drive adoption of framework updates and gather continuous feedback. Evaluate pragmatic trade-offs between architectural consistency, delivery speed, and technical debt across the platform. Collaborate with Observability and Infrastructure teams to integrate telemetry, SLOs, and resilience practices into standard service templates. Ensure security, privacy, and compliance guidelines are embedded directly into service contracts and framework templates. Mentor senior backend engineers, participate in architectural design reviews, and foster high engineering standards across teams. Drive architectural proposals (RFCs/ADRs) for platform-wide backend standardization. About you Have deep backend engineering experience and strong architectural intuition, with proven success building scalable services and frameworks. Demonstrate a track record of driving cross-team technical alignment and leading complex initiatives across multiple engineering groups. Possess expert knowledge in designing API contracts, service startup patterns, and performance optimization. Understand trade-offs in platform design and know how to build golden paths that engineers love to use. Communicate technical vision and architectural choices clearly to both technical leads and engineering leadership. Enjoy mentoring engineers, conducting design reviews, and sharing best practices to level up the backend engineering community. Work perks The opportunity to benefit from our share options programme 25 days of paid annual leave Newest MacBook models Confidential Employee Assistance Program (EAP) for you and your family Frequent team-building events Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture Lunch benefit per working day A personal monthly budget for shopping on Vinted Collective Defined Contribution Pension plan NS Business Card for your commute to the office by public transport Company bike leasing scheme Monthly budget for a flexible benefits platform Work from Home allowance A dog-friendly office Working at Vinted Workation policy Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time. Individual learning budget Each year, you'll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development. Hybrid work Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person. Equal opportunity We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you're excited about a role, but don't identify with every point in the 'About you' section, apply anyway – you might still be the perfect match! The annual gross salary range for this position excluding 8% holiday pay is: €93.500 — €126.500 EUR Find Jobs in Netherlands on Arbeitnow

About Stream Stream powers real-time Chat , Video , Activity Feeds , and AI Moderation for more than 1 billion end users across 4,000+ apps, from Strava and Bumble to eBay and Patreon. Our platform processes billions of API requests per month and supports applications with millions of concurrent users, while delivering highly reliable, low-latency services and a great developer experience. The role We're looking for a Staff Backend Engineer to join Stream on our mission of elevating the quality of apps for billions of users globally. You'll own the technical direction of Stream Video's media plane and the infrastructure it runs on. This is a full-time role, hybrid with 3 days a week in our Amsterdam office, or remote from anywhere in the EU. What you'll work on Stream Video runs on an SFU we built in Go on top of Pion, plus ingest and recording fleets, all on a global edge network we own across more than one cloud. Nobody at Stream has owned this media plane end to end before. Our central infrastructure team is tuned for request-based services, and video breaks in different ways: live sessions can't be dropped, bandwidth is the biggest cost, and placement is the main lever. That's why this is a Staff role. You'll set the direction for the video backend and its infrastructure with your own roadmap, reporting to our Director of Engineering with a direct line to our CTO. The Video SDK teams own the client side, and you'll work closely with them and with infrastructure. Part of the fleet is mid-move to Kubernetes. Job responsibilities: Architecture: write the architecture and roadmap for Stream Video's backend and media infrastructure, and decide what ships. Scale livestreaming: architect the SFU and media pipeline (WHIP, WHEP, RTMP, SRT, HLS, SVC), including the path from WebRTC to CDN-backed HLS for very large audiences. Own the fleet: reliability, autoscaling, placement, rollouts, observability and cost for long-lived sessions across clouds, with cost per gigabyte as a first-class metric. Gate production changes: define the validation that decides which changes, including AI-generated ones, reach live media, using behaviour tests on realistic networks, nightly telemetry scans and a public quality benchmark. Take the final escalation: handle the hardest quality, latency and production incidents, and work with enterprise customers on advanced integrations. Raise the bar: mentor senior engineers through design review, code review and hiring. About you You've owned systems where a dropped session or a bad rollout is visible to users within seconds, and you think about cost and reliability as much as features. You'd rather write the hard design doc than wait for one. A founder background is an asset here. The team is small, so you'll still write and review plenty of code. If you're looking for a large organisation with a platform team to hand problems to, or a management track, this role won't suit you. You have: Extensive backend engineering experience, including significant time owning architecture for high-scale production systems Expert proficiency in Go or an equivalent systems language (Rust, C++, Java) A track record owning real-time, stateful or latency-sensitive systems at very high scale Deep knowledge of distributed systems and networking: failure modes, placement, capacity planning and cost Strong experience with real-time media or streaming: WebRTC, SFU/MCU concepts, RTP/RTCP, DTLS, or RTMP, SRT and HLS Clear written communication: design docs and RFCs that others can act on Hands-on experience adopting AI coding and agent tools, and judgement on how to make them safe in production Bonus points: Built or operated an SFU, or contributed to Pion or another WebRTC stack Moved a stateful fleet to Kubernetes, or ran media workloads across more than one cloud Knowledge of bandwidth estimation, congestion control, simulcast, SVC and codecs (Opus, VP8/VP9, AV1) CockroachDB/PostgreSQL, RocksDB, Raft and Redis at scale Experience at developer tooling, API or SDK companies Founder or early-stage startup experience building real-time products Python or Rust alongside Go Conference talks, technical writing or notable open-source work in real-time media What makes this role exciting Scope: the infrastructure direction for video is yours to run as a product, with the authority to decide what ships. Impact: Video is Stream's most complex product, and many customers run it alongside Chat, Feeds and Moderation, so this work matters across the company. Stack: Go, Pion, WebRTC, WHIP/WHEP, RTMP, SRT, HLS, Protobuf, CockroachDB/Postgres, RocksDB, Raft and Redis, with Claude, Cursor and ChatGPT Codex in daily use. Starting point: a concrete first 90 days. Ship a validation gate on every infrastructure change that reaches production media, and move part of the fleet to Kubernetes with a cost-per-gigabyte number attached. Why join Stream? We're a Series B company with offices in Boulder, Amsterdam, Skopje and Toronto, and a team of 140+ people from 37 nationalities. We're backed by Felicis Ventures, GGV Capital, 01 Advisors, Techstars, and Arthur Ventures, with angels including Dick Costolo (ex-CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston-Werner (co-founder of GitHub), and Nicolas Dessaigne (co-founder of Algolia). We'll be straight with you: a startup is more demanding than a large company. There's no fixed playbook, you'll own things end to end, and you'll sometimes pick up work outside your title. That's also what makes it a fast place to grow. If you want real ownership and high scale more than structure and a set career ladder, you'll feel at home here. What we offer Company equity 28 days paid time off plus Dutch public holidays Pension plan with a company contribution NS Business Card or a company bike, covered Personal development budget of EUR 500 per year Catered lunches in the office MacBook Pro Up to EUR 60 a month toward a gym or sports club membership of your choice Highly skilled migrant (kennismigrant) visa sponsorship and relocation support if you're moving to Amsterdam This list applies to Netherlands-based employees and is adjusted to your location of residence. If you work remotely from another EU country, you'll be employed through our Employer of Record partner and get company equity plus local benefits depending on your country of employment. Our culture Stream is a casual, transparent team that aims high and supports each other. In engineering, we care about ownership and quality, and our goal is to ship stable software. Management stays hands-on, with less middle management and more time spent doing the work. If that sounds like the environment you want next, apply now. Stream is an equal opportunity employer. We hire on skills and experience, and we don't discriminate based on age, sex, gender identity or expression, sexual orientation, ethnicity, nationality, religion or belief, political opinion, disability or chronic illness, marital status, working hours, type of contract, or any other characteristic protected by law. If you need an adjustment at any point in our hiring process, let us know. Hybrid office policy: applicants based (or relocating to) one of our office locations are expected to work according to the applicable local office attendance policy. Equal opportunity employer statement: Stream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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 federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Note for external recruiters: We currently have this role covered and do not accept unsolicited agency resumes. We are not responsible for any fees related to unsolicited resumes. Find Jobs in Netherlands on Arbeitnow

We?re Hiring: Office ManagerJoin the Team at Country Dental Cambridge Country Dental Cambridge is growing, and we?re looking for an experienced and motivated Office Manager to join our team! We are a comprehensive dental practice offering a wide range of services, including: Orthodontics Cosmetic Dentistry Root Canal Therapy Pediatric Dentistry Sleep Dentistry Periodontics Dental Implants Oral Surgery And much more! As our Office Manager, you?ll play an important role in the day-to-day success of our practice. We?re looking for a confident, organized, and people-focused leader who can support our team, maintain an efficient office, and ensure every patient has an exceptional experience. What We Offer Competitive Compensation based on experience Professional Development through in-house training, courses, and continued education Employee Benefits, including a Health Spending Account A supportive and collaborative team environment Opportunities to grow and advance within a busy, multi-service dental practice Key Responsibilities As Office Manager, you will be responsible for overseeing the daily administrative and operational functions of the dental office. Responsibilities may include: Overseeing the day-to-day operations of the dental practice Supporting, motivating, and managing the dental team Coordinating staff schedules and office workflow Ensuring a high standard of patient care and customer service Managing administrative processes and office procedures Supporting accounts receivable, billing, and insurance processes Monitoring practice performance and helping achieve office goals Assisting with staff training and onboarding Maintaining accurate patient and office records Working closely with the dentists and clinical team Addressing patient concerns and ensuring a positive patient experience Helping identify opportunities to improve efficiency and overall practice performance What We?re Looking For The ideal candidate is an experienced dental professional and natural leader who is organized, proactive, and comfortable managing a busy dental practice. Qualifications: Previous dental experience is required Previous Dental Office Manager experience is required Strong leadership, communication, and organizational skills Excellent attention to detail Ability to multitask and prioritize in a fast-paced environment A positive, professional, and team-oriented attitude Dentrix experience is considered an asset Availability to work some evening and weekend hours is required Position Details Position: Dental Office Manager Job Type: Full-time, Permanent Work Location: In person ? Cambridge, Ontario Schedule: Some evening and weekend hours required Remote Work: Not available Ready to Take the Next Step? If you?re an experienced dental professional looking for an opportunity to lead, grow, and make a meaningful impact within a busy and supportive practice, we?d love to hear from you. Apply today and become part of the Country Dental Cambridge team! Job Types: Full-time, Permanent Pay: $32.00-$40.00 per hour Benefits: Dental care Extended health care On-site parking Experience: Dental Management: 1 year (required) Work Location: In person

Headquarters: Chicago, Illinois; NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Principal Customer Success Manager, you'll partner with some of our largest and most complex enterprise customers to help them transform customer service with AI. You'll work with executive sponsors, Support leaders, and cross-functional teams to connect Fin's capabilities to business priorities and guide customers from strategy and implementation through adoption, measurable value, and renewal. You'll own the success strategy for a portfolio of strategic enterprise customers, navigating complex organizations, multiple stakeholder groups, and evolving business needs. This is an opportunity to advise senior leaders, influence how global businesses deploy AI, and help shape the playbooks and best practices for our growing Customer Success team. Responsibilities Own the health, success strategy, and retention of a portfolio of strategic enterprise customers, partnering closely with Account Management on renewal plans. Build relationships across executive sponsors, operational leaders, technical teams, and frontline users. Develop multi-threaded stakeholder maps and ensure alignment across decision-makers and teams. Lead executive conversations, strategic planning, QBRs/EBRs, and success-plan reviews that connect Fin's roadmap and performance to customers' business priorities. Drive measurable value realization by tying Fin's outcomes to customer goals such as cost savings, team capacity, customer experience, and service quality. Make progress and ROI clear to executive sponsors. Develop and prioritize customer-specific AI and automation roadmaps, aligning business objectives, operational readiness, technical dependencies, and measurable milestones. Guide complex enterprise implementations and adoption programs, including requirements gathering, process mapping, and documentation of workflows across teams, systems, or regions. Partner with Solutions Engineering, Product, Support, and other internal teams to translate customer requirements into effective Fin solution designs. Advise on configuration, knowledge strategy, integrations, and prompt design. Monitor leading indicators such as Fin resolution rate, involvement, CSAT, adoption breadth, and stakeholder engagement. Identify risks early and lead mitigation plans that protect customer outcomes and renewals. Analyze usage and performance data to identify optimization opportunities, close resolution gaps, and uncover expansion use cases. Maintain deep knowledge of Fin's evolving capabilities and the AI-agent market, using that expertise to advise customers and position solutions against alternatives. Represent the Voice of the Customer internally, translating enterprise customer needs into actionable product feedback and influencing our solutions strategy. Mentor other CSMs and contribute to the playbooks, operating practices, and standards of a growing enterprise Customer Success team. What skills do I need? 8+ years of customer-facing experience in enterprise Customer Success, strategic account management, management consulting, strategy, or a related advisory role. Demonstrated experience working with large enterprise clients, including complex organizations, senior stakeholders, and multi-team or cross-functional programs. A track record of building executive relationships and influencing decisions across a range of customer stakeholders, from C-suite leaders to operational and technical teams. Demonstrated success driving adoption, retention, process improvement, and measurable business outcomes for enterprise customers. Experience with business process mapping, requirements analysis, solution design, or complex technology implementations. Strong commercial judgment and the ability to connect product performance and customer outcomes to ROI, renewal strategy, and expansion opportunities. Strong technical acumen and a genuine interest in AI, automation, and agent-building. Coding experience is not required. Ability to simplify complex problems and communicate clearly with both executive and technical audiences. Excellent prioritization and program-management skills, with the ability to manage competing priorities across a strategic customer portfolio. Self-motivated, adaptable, and curious, with the judgment and ownership to operate effectively in a fast-changing environment. A collaborative team player who can influence across functions, advocate for customers, and help elevate the work of the broader team. The OTE range for candidates within the New York or San Francisco Bay Area is $222,300- $247,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). The OTE range for candidates within the Greater Chicago Area is $200,070 - $222,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. To apply: https://weworkremotely.com/remote-jobs/fin-principal-customer-success-manager

Headquarters: Chicago, Illinois; NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Strategic CSM, you'll partner with our largest and most complex customers to help them succeed in the new era of AI-driven customer service. You'll work with C-suite leaders and their Support teams to guide them through their AI Agent transformation with Fin — from early project scoping and requirements gathering, to measurable adoption, to industry-best automation rates and business outcomes. This role is an opportunity to shape how the world's leading companies deploy AI to transform their support operations and achieve strategic outcomes aligned to their business goals. Responsibilities Own the retention and health of a portfolio of high touch customers. Track leading indicators (Fin resolution rate, involvement, CSAT, adoption breadth, stakeholder engagement), flag risk early, and run mitigation plans to secure renewals in partnership with Account Management. Drive measurable value realization by tying Fin's performance to each customer's business outcomes (cost savings, team capacity, customer experience), and make that ROI visible to executive sponsors at every stage of the relationship. Build and prioritize an Automation Roadmap for each customer, balancing competing demands to deliver outcomes across your portfolio. Develop trusted advisor relationships from the C-suite to individual contributors, and multi-thread accounts so success doesn't depend on a single champion. Lead requirements gathering and process mapping of customers' standard operating procedures, and document them in clear, precise and actionable terms. Partner with engineers to turn customer requirements into Fin solution designs, and guide customers on configuration best practices, knowledge strategy and prompt design. Analyze Fin usage and performance data to find optimization opportunities, close resolution gaps and uncover expansion use cases. Lead Success Plans, QBRs/EBRs and strategic planning sessions that align Fin's roadmap with the customer's goals. Keep deep product knowledge of Fin's fast-expanding capabilities and stay aware of where the AI-agent market is heading, so you can position Fin against alternatives. Act as the Voice of the Customer internally, turning customer insights into product feedback and shaping our solutions strategy. Mentor other CSMs and help shape the playbooks and best practices of a growing team. What skills do I need? 8+ years of customer-facing experience in management consulting, strategy, advisory, or enterprise SaaS CSM roles. Experience with business process mapping, requirements analysis, and solution design. Strong technical acumen and passion for AI/agent-building (coding not required). Ability to simplify and communicate complex problems clearly across audiences. Strong prioritization skills to effectively manage a broad portfolio of customer accounts while delivering depth of impact. Demonstrated success driving adoption, process improvement, and measurable outcomes for enterprise customers. Self-motivated, adaptable, and curious team player with a high level of self-efficacy. The OTE range for candidates within the New York or San Francisco Bay Area is $186,300 $207,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). The OTE range for candidates within the Greater Chicago Area is $167,670- $186,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. To apply: https://weworkremotely.com/remote-jobs/fin-senior-customer-success-manager

Headquarters: Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen fast. Senior Applied AI Engineer, Entity Agents ZoomInfo | Product | Core Data About ZoomInfo ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute, you'll make things happen, fast. The Opportunity ZoomInfo's Core Data team builds the company and contact data behind the Go-To-Market Intelligence Platform: hundreds of millions of records, resolved to the right entity, kept accurate, and delivered to more than 35,000 customers. The way that data is produced is changing. For years it came from deterministic pipelines: many sources, weighted and decayed, one winner per attribute. Core Data is now moving to AI-native data management, where an agent pursues the evidence for an entity, decides every attribute over all of it, and records why. The company and contact agents already exist as working, measured prototypes. What does not exist yet is the machinery that runs them at production volume, proves every version before it ships, and lets researchers and product managers operate them without an engineer in the loop. We are hiring a Senior Applied AI Engineer to build and own that machinery. You will complete the entity-agent pipeline, build the evidence adapters behind a single envelope, run the benchmark and golden-gate system on a schedule, build the review and batch tooling the team operates, and carry the agents onto ZoomInfo's Agentic Platform. You will work with the Principal AI Engineer who owns the benchmark harness and productionization, the product manager who owns evaluation and policy, and the company and person engineering teams that own the pipelines the agents feed. You will not be the only person who can do this work; you will be the second, so that neither of you is a single point of failure. This is a role for someone who has shipped LLM systems in production with evaluations, builds platform for other people to operate, and can work inside a large-scale data pipeline. You should be as comfortable writing an adapter with a replayable store and a kill switch as you are reading a miss analysis with a product manager, and you should like that the prototype you take to production was built by a PM who commits code. What You'll Do Run the benchmark and golden-gate system. Move judge runs, golden-gate results, arms scorecards, and cost per record from a laptop to a scheduled system against staging. Every agent version is gated automatically, with variance and drift tracked per release. The evaluation product manager sets the thresholds; you make them enforceable. Complete the entity-agent pipeline. Build the stages that do not exist yet: enricher fan-out, location sets, and hierarchy batch files. Migrate the classifiers to the shared runner with the Principal AI Engineer so they run at production scale. Measure throughput and unit cost per stage on named cohorts, so the cost model comes from instrumentation rather than estimates. Build the evidence adapters. Registries, live web, mail-tenant signals, and external research vendors all sit behind one envelope with a replayable vendor store, measured lift per shape, a per-vendor kill switch, and at least two sources per shape. Vendors are swappable by design. Deploy onto the ZoomInfo Agentic Platform. Carry the company and contact agents through the production plan onto ZAP, build the ingest adapter side (envelope to match service and bulk intake), and keep a rollback path per version. Keep the DOH implementation and the platform implementation upgraded in lockstep, enforced by tooling. Make the loop self-service. Build the review queue, tagging tools, blast-radius viewer, and batch runners that researchers and product managers use without an engineer. Measure review yield and golden-record production. Keep the agent surfaces alive. Own the health and deployment of the company classifier, contact classifier, agents hub, and judge platform inside our internal tooling, so the team's iteration cycle never waits on one person. Instrument everything. Cost per call, per row, per stage; quality per version; alerts before a human notices. What You'll Bring 5+ years of software engineering experience, including at least 2 years shipping LLM-based systems to production: agent loops, tool use, retrieval, structured output, and the evaluation harness that proved them Strong Python and TypeScript, and comfort across an API layer, a batch runner, and a small web UI for internal users Experience building platform others operate: adapters, runners, queues, or internal tools designed for replay, idempotency, and observability Working knowledge of data pipelines and entity resolution: how records move through ingestion, matching, and serving, and what a false merge costs versus a missed match A track record of taking a prototype to production without losing what the prototype proved, treating test sets and benchmarks as the contract Instrumentation by default: you know the cost and latency budget of every system you have shipped Strong bias for action and the tenacity to find an endpoint owner, get a decision, and unblock a runner in a fast-moving, distributed organization Preferred Experience with B2B company or contact data, identity or registry data, or entity resolution at scale Experience with Claude or comparable frontier models, agent frameworks, and eval harnesses Experience deploying agents onto an internal agent platform or orchestration layer Background at an AI-native startup, a forward-deployed or applied AI team, or a data infrastructure company Who You Are A builder who ships. You pick the boring technology when it wins and you would rather have a running adapter than a design doc. An evaluator by instinct. You do not release a version without a test set, a threshold, and a number for what it costs. A platform thinker. You build things that other people run, and you design for the day the vendor goes down. Comfortable in the data. You can read a pipeline, reason about matching, and explain why a wrong merge is worse than a missed one. Tenacious. ZoomInfo is fast, distributed, and messy. You go find the people you need and drive the work to done. One team. Honest, has the team's back, celebrates wins and losses together. The Environment You report to the Senior Manager of Product for Core Data, with the Principal AI Engineer as your technical lead, and sit inside the Core and Global Data organization under the Chief Data Officer. Your day-to-day partners are the Principal AI Engineer, the product manager who owns evaluation and data policy, the Company and Person Data product managers, the research team that grades and rules, the agentic platform team, and company and person engineering. Expect interesting problems: how do you run a judge over a million records a day for cents, not dollars? How do you make a vendor replaceable without a rewrite? How do you let a researcher run a batch and rule on the misses without paging you? About ZoomInfo ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $171,500 — $269,500 USD About us: ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location. To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-principal-applied-ai-engineer-entity-agents

Headquarters: United States (Remote) Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the ET timezone in the US. About the team The AI Engineering team builds the systems and capabilities behind Typeform's AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights. The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance. You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences. About the role As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside our broader AI products. Your work will help customers understand the "why" behind responses and move from research questions to informed decisions faster. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on engineering role with strong ownership. You will turn ideas and prototypes into production systems used by our customers, with direct influence on their quality and performance. You will also help define the technical standards for developing, evaluating, deploying, and monitoring AI across Typeform. Things you will do Build and deliver AI products Design, build, and deploy generative AI capabilities across Typeform's products, with a key contribution to Research Flow. Develop applications using large language models, RAG, vector search, and agentic systems. Build services and APIs that allow product teams to integrate AI capabilities into customer experiences. Turn prototypes into reliable production systems with clear measures of performance and quality. Explore new ways for customers to collect, understand, and act on information using AI. Build scalable AI systems Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS. Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow. Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search. Use MLflow to manage experiments, model versions, registries, and deployments. Improve the reliability, performance, scalability, and cost efficiency of our AI systems. Evaluate and improve AI quality Build automated evaluation pipelines for generative AI applications, including the conversational and analytical capabilities behind Research Flow. Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost. Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking. Monitor AI systems in production and identify opportunities to improve their quality and performance. Create safeguards that reduce unexpected behaviour and protect customer data. Shape our AI engineering practice Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems. Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost. Apply strong engineering practices across testing, security, observability, version control, and deployment. Share technical knowledge and support the development of other engineers. Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform. Collaborate across Typeform Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs. Work with Data Scientists to turn experiments and models into reliable production services. Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners. Contribute to technical planning and help shape the direction of AI across Typeform. What you bring At least four years of experience building and deploying machine learning or AI systems in production. Strong Python and software engineering skills. Experience building production services using Python frameworks such as FastAPI. Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative AI applications. Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Experience using services such as AWS SageMaker or AWS Bedrock. Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing. Experience managing machine learning workflows using MLflow. Experience monitoring production systems with tools such as Datadog or OpenSearch. The ability to balance quality, speed, reliability, scalability, and cost when making technical decisions. Strong communication skills and experience collaborating with Product, Engineering, and Data teams. Extra awesome Experience working in a B2B SaaS product company. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience building systems that combine structured data, unstructured data, and generative AI. Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention. Experience improving the latency and cost of AI systems operating at scale. *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual's unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here. To apply: https://weworkremotely.com/remote-jobs/typeform-senior-ai-engineer-us

Headquarters: Germany (Remote) ; Ireland (Remote); Netherlands (Remote) ; Portugal (Remote) ; Spain (Remote) ; United Kingdom (Remote) Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or The Netherlands About the team The AI Engineering team builds the systems and capabilities behind Typeform's AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights. The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance. You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences. About the role As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside our broader AI products. Your work will help customers understand the "why" behind responses and move from research questions to informed decisions faster. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on engineering role with strong ownership. You will turn ideas and prototypes into production systems used by our customers, with direct influence on their quality and performance. You will also help define the technical standards for developing, evaluating, deploying, and monitoring AI across Typeform. Things you will do Build and deliver AI products Design, build, and deploy generative AI capabilities across Typeform's products, with a key contribution to Research Flow. Develop applications using large language models, RAG, vector search, and agentic systems. Build services and APIs that allow product teams to integrate AI capabilities into customer experiences. Turn prototypes into reliable production systems with clear measures of performance and quality. Explore new ways for customers to collect, understand, and act on information using AI. Build scalable AI systems Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS. Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow. Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search. Use MLflow to manage experiments, model versions, registries, and deployments. Improve the reliability, performance, scalability, and cost efficiency of our AI systems. Evaluate and improve AI quality Build automated evaluation pipelines for generative AI applications, including the conversational and analytical capabilities behind Research Flow. Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost. Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking. Monitor AI systems in production and identify opportunities to improve their quality and performance. Create safeguards that reduce unexpected behaviour and protect customer data. Shape our AI engineering practice Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems. Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost. Apply strong engineering practices across testing, security, observability, version control, and deployment. Share technical knowledge and support the development of other engineers. Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform. Collaborate across Typeform Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs. Work with Data Scientists to turn experiments and models into reliable production services. Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners. Contribute to technical planning and help shape the direction of AI across Typeform. What you bring At least four years of experience building and deploying machine learning or AI systems in production. Strong Python and software engineering skills. Experience building production services using Python frameworks such as FastAPI. Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative AI applications. Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Experience using services such as AWS SageMaker or AWS Bedrock. Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing. Experience managing machine learning workflows using MLflow. Experience monitoring production systems with tools such as Datadog or OpenSearch. The ability to balance quality, speed, reliability, scalability, and cost when making technical decisions. Strong communication skills and experience collaborating with Product, Engineering, and Data teams. Extra awesome Experience working in a B2B SaaS product company. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience building systems that combine structured data, unstructured data, and generative AI. Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention. Experience improving the latency and cost of AI systems operating at scale. *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual's unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here. To apply: https://weworkremotely.com/remote-jobs/typeform-senior-ai-engineer-eu

Headquarters: Remote, United States About Calm Calm is the leading mental health brand on a mission to make the world happier and healthier. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in ten languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health , offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 42 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company's Brands That Matter . Learn more at calm.com . What We Do We build Calm's product, guide Calm's analysis, secure Calm's data, and operate the platforms that underpin it all. We're product-minded, team-oriented, and grounded in the mission of meeting everyone where they're at on their mental health journey. We work in fast-moving, small pods, and as an SDET you'll make sure what we ship is reliable, well-tested, and ready for the millions of people who rely on Calm. What You'll Do Millions of people rely on Calm every day, and you'll help make sure every release earns their trust. As an SDET, you'll build the automation and pipeline checks that catch issues early, lead our QA efforts, and partner with engineering, product, and design to ship the Calm app and our internal tools with confidence. Specifically, you will: Set the testing strategy and quality bar for the Calm app and our internal content and admin tools Architect and build automated test frameworks and suites (UI, API, mobile, and integration) that run reliably in our CI/CD pipelines Review requirements, specs, and pull requests early so issues are caught in-sprint rather than at the end Work with all of our consumer product teams on release planning and certification, and monitor release health after launch Partner with product and design (roughly 30% of your time) to define acceptance criteria and keep release timelines on track Manage and direct our offshore QA team, shifting their work toward automation and higher-value testing over time Triage and document defects with clear, actionable detail, and drive them to resolution Track and report on quality metrics such as coverage, flakiness, escaped defects, and release stability Use AI-assisted tooling to speed up test creation, maintenance, and analysis Contribute to feature development in Android, iOS, backend, or web as the role grows Who You Are 3+ years of experience as a software engineer, SDET, or QA automation engineer Strong programming skills in Java and JavaScript/TypeScript Hands-on experience building test automation frameworks and integrating them into CI/CD pipelines Experience testing mobile apps (iOS and/or Android) Experience leading QA efforts and owning release readiness, ideally with distributed or offshore teams Comfortable using AI-assisted tools in your testing and development workflow Nice to Haves Experience with a consumer subscription or mobile app at scale Hands-on development experience in a mobile, backend, or web codebase Minimum Requirements 3+ years of related experience Calm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay ranges across Calm's pay tiers is as follows: $111,400 - 181,500. The base pay range represents the low and high end of Calm's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process. Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm's Recruiting team at recruitingaccommodations@calm.com . All accommodation requests will be handled confidentially and assessed on a case-by-case basis. We believe that mental health is health, and every person should be considered in the discussion. That's why we're proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening. FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Right to Work E-Verify Participation To apply: https://weworkremotely.com/remote-jobs/calm-com-software-development-engineer-in-test

Headquarters: Remote-US ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen fast. We are seeking a highly experienced, hands-on Principal Data Engineer to define and evolve the architecture, engineering standards, and operating model for our enterprise data platform. This role is for a technical leader who excels at complex system design: translating business and analytical needs into scalable, reliable, secure, and maintainable data products. The Principal Data Engineer will lead critical architectural decisions across data ingestion, storage, transformation, orchestration, governance, observability, and consumption, while raising the engineering bar through mentorship, design reviews, and pragmatic best practices. You will work across engineering, analytics, platform, security, and business stakeholders to create systems that make trusted data accessible, timely, and actionable at scale. What You'll Do Lead Data Architecture and System Design Own the technical vision and architecture for scalable, resilient, and cost-effective data platforms and pipelines. Design end-to-end data systems spanning batch and streaming ingestion, transformation, data modeling, storage, orchestration, serving layers, and consumption patterns. Make and document high-quality architecture decisions, including tradeoffs involving performance, reliability, scalability, latency, security, maintainability, and cost. Define reusable architectural patterns for common data engineering challenges, including CDC, event-driven data flows, schema evolution, slowly changing dimensions, data quality, and multi-tenant or domain-oriented data models. Establish clear boundaries and interfaces between operational systems, data platforms, analytics layers, and downstream applications. Lead technical design reviews for high-impact initiatives and provide clear, constructive direction on implementation approaches. Identify architectural risks early and drive plans to mitigate technical debt, single points of failure, data inconsistency, and operational fragility. Set Engineering Standards and Best Practices Establish and continuously improve standards for data engineering development, testing, deployment, documentation, monitoring, incident response, and lifecycle management. Define best practices for version-controlled data transformations, infrastructure as code, CI/CD, code review, automated testing, and environment promotion. Build a culture of data reliability by implementing standards for data contracts, schema management, lineage, observability, freshness, completeness, accuracy, and reconciliation. Champion security, privacy, access control, governance, retention, and compliance requirements throughout the data lifecycle. Develop practical engineering guardrails that enable teams to move quickly without sacrificing quality, trust, or operational excellence. Drive adoption of well-defined SLIs, SLOs, alerting, runbooks, and post-incident learning practices for critical data products. Drive Technical Decision-Making Serve as a trusted technical authority for complex, cross-functional decisions involving data architecture, tooling, platform capabilities, and engineering investments. Facilitate technical discussions that turn ambiguous requirements into durable, well-reasoned solutions. Evaluate build-versus-buy decisions, platform technologies, and vendor capabilities using clear criteria and documented recommendations. Align architecture decisions with organizational priorities, business outcomes, data strategy, and long-term platform sustainability. Create and maintain architecture decision records, reference architectures, roadmaps, and technical standards that provide clarity across teams. Influence leaders and stakeholders through concise communication of technical options, risks, tradeoffs, and recommended paths forward. Build and Improve Data Products Lead the design and development of high-value, production-grade data pipelines, datasets, and platform capabilities. Partner with data analysts, data scientists, software engineers, and product teams to deliver well-modeled, discoverable, and trustworthy data products. Optimize data systems for reliability, usability, performance, scalability, and cost efficiency. Drive modernization initiatives, including migration from legacy platforms, consolidation of fragmented pipelines, and reduction of manual operational processes. Ensure data products are designed with clear ownership, documentation, lineage, quality expectations, and support models. Mentor and Multiply Engineering Excellence Mentor data engineers at all levels, with a particular focus on growing senior engineers into strong technical leaders. Provide practical coaching on system design, data modeling, debugging, performance tuning, code quality, and production operations. Lead architecture reviews, technical workshops, design sessions, and knowledge-sharing forums. Establish reusable templates, reference implementations, and playbooks that improve consistency and accelerate delivery. Foster an inclusive, high-accountability engineering culture centered on thoughtful collaboration, continuous learning, and ownership. Act as a technical multiplier: helping teams make better decisions independently while maintaining alignment with shared architectural principles. What you bring Required 10+ years of experience in software engineering, data engineering, platform engineering, or a related technical discipline. 5+ years designing and operating large-scale data platforms, distributed data systems, or enterprise-grade data products. Demonstrated expertise in end-to-end system design, including defining requirements, evaluating tradeoffs, designing resilient architectures, and delivering production systems. Deep experience with modern data architecture concepts, such as lakehouse or warehouse platforms, batch and streaming processing, data modeling, orchestration, metadata management, and data governance. Strong proficiency in SQL and at least one general-purpose programming language, such as Python, Java, Scala, or similar. Experience with distributed data processing frameworks and technologies such as Spark, Kafka, Flink, Snowflake, Databricks, BigQuery, Redshift, or equivalent platforms. Strong knowledge of data modeling practices across analytical, operational, and domain-oriented use cases. Experience establishing engineering standards for testing, CI/CD, observability, infrastructure as code, reliability, and security. Proven ability to lead technical decisions across multiple teams without relying on direct authority. Exceptional written and verbal communication skills, including the ability to explain complex technical concepts and tradeoffs to technical and non-technical stakeholders. Demonstrated experience mentoring engineers and raising technical standards across an organization. Preferred Experience with cloud-native data platforms on AWS, Azure, or GCP. Experience implementing data mesh, domain-oriented data product, or self-service platform patterns. Familiarity with data governance, cataloging, lineage, privacy, and access-control tooling. Experience supporting financial, revenue, operational, customer, or enterprise analytics domains. Experience with ML data pipelines, feature stores, or AI/LLM data foundations. Experience managing major data-platform migrations, modernization programs, or large-scale architectural transformations. Leadership Competencies Systems thinker : Connects individual technical decisions to broader platform, organizational, and business outcomes. Pragmatic architect : Balances ideal-state architecture with incremental delivery and operational realities. Technical judgment : Makes clear recommendations amid ambiguity and communicates tradeoffs transparently. Builder and operator : Designs for production from the beginning, including reliability, security, observability, and supportability. Mentor and multiplier : Develops others and creates scalable mechanisms for technical excellence. Collaborative influencer : Builds alignment across engineering, analytics, security, product, and business teams. Our Technology Stack Languages & Databases: Python, SQL, MySQL, NoSQL databases Orchestration & Transformation: Airflow, dbt Data Platforms: Snowflake, AWS, GCP, BigQuery, Redshift Data Integration: Fivetran, custom ETL/ELT frameworks Observability & Data Reliability: Datadog, monitoring, alerting, data-quality frameworks #LI-JH1 #LI-Remote Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $171,500 — $269,500 USD About us: ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location. To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-principal-data-engineer

Headquarters: New York, NY URL: https://lemon.io Are you a talented Senior Developer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. We'll manually find the best project for you according to your skills and preferences. Choose a schedule that works best for you. It's possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? We will support you from the time you submit the application throughout all cooperation stages. Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Through our community, we will connect you with the best developers from more than 75 countries. Requirements for the Senior React & Python Position: 4+ years of software development experience. Commercial experience: React.js 3+ years & Python 3+ years OR React.js 2+ years & Python 5+ years OR React.js 5+ years & Python 2+ years Experience with AWS, GCP, or Azure is required. Requirements for the Senior Node & React Position: 5+ years of software development experience Commercial experience: React.js: 3+ years, Node.js: 5+ years, and Next.js: 2+ years OR React.js: 5+ years, Node.js: 3+ years, and Next.js: 2+ years Expertise in TypeScript, AWS and AI-assisted coding is a must. Requirements for the Senior Ruby & React Position: 5+ years of software development experience Commercial experience: React.js: 2+ years, Ruby: 5+ years OR React.js: 5+ years, Ruby: 2+ years Experience with AWS, GCP, or Azure is required. Other requirements: Strong technical skills: as a Senior Developer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. Strong self-organizational skills — ability to work full-time remotely with no supervision. Reliability — we want to trust you and expect that you won't let us and the client down. Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. Sounds good for you? Apply now and join the Lemon.io community! NOT YOUR TECH STACK? We're placing Senior Developers (4+ yrs commercial experience) across AI Agent Architecture, AI Automation Architecture, AI Engineering, Site Reliability Engineering, Platform Engineering, Enterprise Software Engineering, React & Golang, Golang, React & Java, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter & Firebase, Solutions Engineer, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Angular, Python & Node, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering and more. Reach out and we'll match you. We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire. We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa). To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-react-full-stack-developer-7

Headquarters: India (remote) Machine Learning Engineer IV – (Computer Vision) We're looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You'll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You'll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We're Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS). Nice to Have Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness. Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms. Familiarity with privacy, security, and compliance in biometric systems. Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite. Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training. Strong communication skills. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities : Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. About Jumio: Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we're expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in connection with Jumio's application, recruitment, and hiring processes, as described in Jumio's Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com . To apply: https://weworkremotely.com/remote-jobs/jumio-machine-learning-engineer-iv-computer-vision