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OverviewThe Modern Workplace & Cloud Operations Administrator is a Tier 3 operational role responsible for ensuring the stability, security, and efficiency of Microsoft 365, Intune-managed endpoints, Azure Virtual Desktop (AVD), and hybrid Active Directory/Entra ID identity services. This role also owns Microsoft 365 backup administration and routine AD/GPO updates and serves as the primary liaison with the managed services provider (MSP) for Azure servers, SQL workloads, and virtualization platforms.This is a Full-Time position out of our Waterloo Corporate office with an in office requirement of 1-2 days per week, plus a rotational on-call. What We Offer Competitive salary, comprehensive health and dental benefitsOther employment perks such as Employee Assistance Program, Perkopolis, Rewards PointsFlexible work from home arrangements supporting employee work life balanceInspiring leadership and opportunities for professional growthThis position offers a competitive compensation range. The salary range is $75,000 - $95,000, and placement within the range will be determined in accordance with company policies and procedures, as well as the candidate's knowledge, skills, qualifications, and relevant experience. What The Role Involves ? Administer, and act as the subject matter expert on projects related to, Microsoft 365 services including applications such as Exchange Online, Teams, SharePoint Online, and OneDrive.? Act as administrator for applications such as PDQ Deploy (asset and inventory management) and our internal CPSupport portal.? Configure and support Intune device compliance, configuration profiles, applications, and Autopilot enrollment.? Support Azure Virtual Desktop operations, host pools, session hosts, and FSLogix profile issues.? Seek opportunities to automate processes utilizing tools like Microsoft Power Automate and PowerShell.? Perform Active Directory administration, GPO creation, testing, and deployment.? Coordinate Managed Service Provider (MSP) tickets for Azure VMs, SQL Server jobs, and virtualization, including pre- and post-change validation.? Work with the security team to operate and maintain Microsoft 365 backup platforms including job monitoring, restore tasks, and recovery testing.? Work with the security team to ensure that applications and operating systems are patched to mitigate vulnerabilities.? Maintain Standard Operating Procedure (SOP)s, runbooks, documentation, and knowledge articles.? Provide tier 3 level support via triaged tickets from the CarePartners Service Desk team.? Provide mentorship to IT team members and serve as the point of escalation for support tickets.?Other Duties, as assigned What You Bring Diploma or degree in Information Technology or related field.Minimum 4 years of experience supporting Microsoft 365, Intune, and hybrid cloud environments.Experience working with MSP-supported cloud environments.Experience with Windows Server administration, Active Directory, Group Policy, DNS/DHCP and file servicesWorking knowledge of Azure, SQL, virtualization, and identity synchronization.Excellent communication, team work, problem-solving, and decision-making skills are requiredExcellent vendor management skillsExperience in HealthCare, preferably Home HealthCare is a large asset.CISSP, CISM, or equivalent security certification is or similar networking certification is preferred.Microsoft 365 Certified: Enterprise Administrator Expert is preferred.ITIL or PMP for process and project management is preferred. CarePartners In Your Community In addition to providing home-based health care, CarePartners also serves the community through clinics, transitional care units, and provides relief in retirement homes and shared care settings. Through our Community Nursing Services outreach program, we've been organizing staff-led medical care and clinics in countries with poor access to health care since 2009. Accessibility CarePartners welcomes and encourages applicants from people w

Quantity Surveyor (Bespoke Fit Outs) £50,000 - £65,000 Company Benefits Company Bonus Training Development Progression Travel Allowance Croydon - London & South East Patch Are you a Quantity Surveyor with Excel calculation experience looking to become the go-to specialist for a growing interiors contractor, delivering bespoke, high-end projects while developing your career and boosting your earnings through a bonus scheme? This is an opportunity to join a multiple award-winning specialist…

Description How would you build the next generation of mission critical products and systems that power the ability to send, store and manage billions of products across the globe on behalf of our selling partners? Fulfillment by Amazon (FBA) is the Amazon service for world-wide sellers that offers access to Amazon's vast distribution network as a service. Sellers in 135 countries worldwide, from Fortune 50 companies to hundreds of thousands of small businesses and entrepreneurs, rely upon our world-leading technology to grow and thrive on Amazon's Marketplaces. In a very real way, we are changing lives with the work we do. Enabling seller success allows us to provide Amazon customers with unparalleled selection and pricing. FBA is a win for sellers and a win for customers. We are looking for an entrepreneurial, results-oriented Sr. Product Manager – Technical to lead and expand the worldwide FBA systems that shape how, where, when, what sellers ship to FBA. This is a rare opportunity to own one of Amazon's most impactful and technically sophisticated product platforms — one that directly influences billions of dollars in GMS, the experience of multiple sellers across various countries worldwide, and the operational efficiency of Amazon's global fulfillment network. In this role, you will drive the product strategy and roadmap for seller-facing products partnering across engineering, scientists, UX, Legal, data scientists and PR; develop internal optimization tools, and the science systems that power them. You will work at the frontier of marketplace design, supply chain science, and AI, building products that balance seller growth with network stability at global scale. Key job responsibilities Define product vision, strategy, and roadmap by working backward from customer needs, leveraging direct customer engagement, market research, and data analysis to identify the highest-impact opportunities. Drive cross-functional collaboration with engineering, design, science, finance, and operations teams to deliver products on time and at a high quality bar, making transparent trade-offs and aligning stakeholders along the way. Establish success criteria, KPIs, and metrics that distinguish between output metrics such as adoption and outcome metrics such as customer satisfaction and business impact, and use data to continuously inform prioritization and roadmap decisions. Evaluate technical proposals and participate in architecture discussions, probing scalability, performance, and trade-off implications to ensure product decisions account for long-term system health alongside near-term delivery. Identify opportunities to integrate generative AI and emerging technologies into product development workflows, accelerating learning cycles and unlocking new forms of innovation for customers. A day in the life You start by reviewing customer feedback and usage data to validate your latest hypothesis, then join a design review where you and your engineering partners iterate on a prototype. After lunch, you lead a product discussion with senior leaders to align on roadmap priorities, using a concise document you authored. Later, you connect with cross-functional partners in marketing and operations to prepare for an upcoming launch. Throughout, you balance strategic thinking with hands-on problem solving, ensuring every decision ties back to real customer value. About The Team Our team is focused on building technical products that solve real customer problems at Amazon scale. We operate with a builder mentality, combining rigorous product thinking with a collaborative, inclusive culture where every voice matters. We are investing in AI-driven innovation and looking for product managers who want to shape what comes next. If you want to work alongside talented engineers, designers, and business partners while growing your career in a fast-moving environment, we would love to hear from you. Basic Qualifications Bachelor's degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Bellevue - 151,200.00 - 204,600.00 USD annually Company Amazon.com Services LLC Job ID: A10575315

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a hands-on technical role. You will join during a period of high growth for the IT team as the company expands its headcount, global footprint and opens new offices. You will work closely with the Security and Operations teams to keep our endpoints, offices, networks, and SaaS tools secure, while making sure people stay as productive as possible with the tools we have. You'll own and deliver technical projects across identity, endpoint management, office infrastructure, automation, and compliance, helping us build scalable IT systems that support the company as it grows. Requirements Strong hands-on background in IT Engineering, Technical Operations, or a DevOps-adjacent role, with an automation-first mindset and experience managing enterprise scale IT systems Strong knowledge of identity and access management technologies (SAML, SCIM, OIDC) with tools such as Okta and Google Workspace Expertise with Mobile Device Management tooling (e.g. Jamf, Kandji, Fleet) across a device fleet. Scripting skills (Python, Bash, or similar) with a proven track record of automating compliance checks, device configuration, and other IT security tasks. Experience managing office network equipment (e.g. Cisco Meraki, Ubiquiti), including office buildouts. Proven ability to maintain compliance with SOC 2 / ISO 27001 (or similar) standards, paired with a friendly, end-user-focused attitude. Prior experience in a high-growth or startup environment. Bonus Experience implement corporate security controls / previous security role experience Strong hands-on experience with VPNs, firewalls, and secure network environments, including modern practices such as Zero Trust networking. Experience with OSquery and Santa Terraform or other infrastructure as code experience. Open source contributions (e.g. a tool you built to automate something). Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

At Truckstop , we have transformed the entire freight-moving lifecycle with our SaaS solutions. From freight matching to payments and everything in between, we are the trusted partner for carriers, brokers, and shippers alike. We lead this industry forward with our One Team mindset committing to principles such as assume positive intent, have each other's back, and be your authentic self. Our drive for greatness produces high expectations, yet our regard for humans is even higher. Join a team of brilliant minds and generous hearts who care deeply about other's success. Job Summary As a member of the Technology Operations Team, the Lead Infrastructure Engineer role performs work with a high degree of latitude, handling the most complex issues. The Lead Infrastructure Engineer provides expertiseand direction and performs resolution activities. They are evangelists for automation, and work continuously to automate our cloud environment. The Lead Infrastructure Engineer troubleshoots production issues, responds to incidents and lead collaborative efforts to improve system resiliency and reliability. You will be instrumental in optimizing our development pipeline, leveraging our core technologies and will enhance our development lifecycle through robust automation and efficient operational processes. Essential Job Functions · Understand the requirements of the Technology organization and work with architects to plan out the technical roadmap for the immediate future and long-term pursuits. · Design, Build and implement automated environments using Kubernetes, ensuring scalable, efficient, and resilient orchestration of containerized applications. · Develop, maintain, and optimize Terraform scripts to automate the provisioning and management of Azure infrastructure, aligning with the Infrastructure as Code (IaC) practices. · Collaborate closely with software engineering teams to understand their needs, ensuring the operational infrastructure supports fast-paced development cycles and high-quality output. · Automate monitoring and alerting systems to proactively identify and address issues, minimizing downtime and maintaining high availability. · Implement security automation, ensuring continuous compliance with industry standards and protection against emerging threats. · Responsible for implemention and management of cloud infrastructure and network including performing research on production issues. · Partner with architects and designers in standardizing and automating system implementation and configuration. · Analyze, execute, and streamline Infrastructure Engineering practices. · Work closely with the platform engineering to design, deliver, and manage our services with high resiliency, availability, and performance. · Partner with network and security teams to implement structure, connectivity, and security of our cloud environments. · Perform incident resolution and root cause analysis of critical outages. Implement solutions to systematic failures. Provide alert response support, including after hours. · Provide subject matter expertise and ability to confidently resolve complex issues with minimal escalation. · Provide technical leadership to Infrastructure Engineering group. · Implement monitoring, develop automated provisioning, and develop self-healing automation. · Provide reporting and management information on infrastructure performance and operational KPIs. · Document the environments and processes that support our products. The above description covers the most significant duties performed but does not include other related occasional work that may be assigned or is completed by the employee. Position Requirements · Bachelor's degree or equivalent professional experience required; Computer Science or Engineering preferred. · Minimum 8 to 10 years of experience. · 5+ years of experience with Microsoft Azure and/or Amazon Web Services. Azure/AWS associate or higher-level certification preferred. · 5+ years building operational systems for custom software applications. · Possess expert knowledge of subject matter including Kubernetes, Event Bus architecture, Infrastructure as Code, and automation. They require no assistance to complete tasks, provide leadership, coaching, and/or mentoring to a subordinate group and may act as a lead or first-level supervisor. · Expert knowledge of containers/orchestration tools such as Kubernetes, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Services (EKS), etc. · Expert in continuous integration and delivery services including: GitLab, GitHub Actions, etc. · Expert in using Terraform and other Infrastructure-As-Code (IAC) tools. · Proficiency with configuration management tools such as Chef, Packer, Puppet, etc. · Mastery with monitoring tools such as New Relic, Azure Insights, AWS CloudWatch, etc. · Expertise with PowerShell, Python, and YAML. · Mastery of Kafka event bus. · Achievement with developing in .Net or node.js is preferred. · Expert Linux-based systems administration skills in a cloud environment. · Mastery in managing IAM accounts and policies. · Expertise with Rest and GraphQL. At Truckstop we are dedicated to creating a workplace that is equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for a yearly bonus. Final salary is based on a number of factors including market location, job-related knowledge, education/training, certifications, key skills, experience, internal peer equity as well as business considerations. The anticipated base pay range for this position is : $130,000—$140,000 USD The above description covers the most significant duties performed but does not include other related occasional work that may be assigned or is completed by the employee. Truckstop 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. Truckstop participates in the E-Verify program. Learn more about the E-Verify program here: https://www.e-verify.gov/ Truckstop Privacy Policy

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ❤️ London/Cardiff/UK Remote | £85,000 - £115,000 + Incentive Awards tied to your performance + Benefits ✨ This role sits at the heart of our Control Discipline change agenda, building the controls product platform that powers safe growth at Monzo. At Monzo, we don't treat risk and controls as a bureaucratic governance process. We treat our control framework, tools, and data pipelines as an internal product - designed to give engineers, product managers, and business leads the ability to ship fast - and safely. We are looking for a Senior Controls Product Manager to join our newly established Controls Product & Enablement team within our Controls Discipline. Sitting at the intersection of Product, Risk, Data, and Engineering, you will act as the Product Lead for Monzo's core risk lifecycles (Issues, RCSAs, Controls, Policy, Reg Traceability). You won't just write requirement docs for someone else to build - you are a builder yourself. You'll prototype low-code tools, leverage AI models, interrogate data pipelines, and architect automated workflows to turn manual risk friction into seamless, automated self-service. ⭐ Our Controls team The role will sit within the Controls Product & Enablement team which is part of the wider Controls Discipline in Monzo's 1st line of defence Our teams work closely with cross-functional teams across the organisation including Technology, Data, Product, Operations as well and Risk & Compliance (the 2nd line of defence). As this is a newly established team (wherein you'll have two direct reports already working in the team as data and automation specialists), this role holder needs to bring a flexible and adaptable mindset, as well as a willingness to deal with ambiguity as the team establishes its operating rhythm and embeds itself within the wider business. What you'll do (Your Product Ownership Scope)… Own the Controls Product Roadmap: Define the vision, strategy, and backlog for Monzo's internal risk products, replacing static, manual cycles with smart, data-driven platforms (SmartSuite, Zango, Looker, and native AI integrations). Hands-on Prototyping & Automation: Directly design, prototype, and build automated workflows, API integrations, and low-code/no-code solutions. You'll take an idea from a problem statement to a working MVP before partnering with core Engineering (if necessary) to scale or industrialise it. Pioneer AI in Risk Management: Champion AI adoption across the discipline. Experiment with LLM prompting, custom agents, and automated evidence-gathering tools to solve complex control problems and dramatically reduce manual drag for Monzo staff. Build for Real-Time Risk Intelligence: Drive the shift from annual "point-in-time" assessments to continuous, automated monitoring. Design data triggers (e.g., incident spikes, change flags) that alert risk owners in real time. Product Enablement & Adoption: Ensure high-impact adoption. Work closely with first line risk owners and Risk Partners to deliver clear "write once" guidance, intuitive UI/UX workflows, and enablement that allows teams to self-serve effortlessly. Drive Execution & Delivery: Maintain momentum across the team's delivery plan (guiding 2 specialised data/automation direct reports), keeping senior stakeholders engaged and removing blockers without bureaucratic overhead. We'd love to hear from you if… You think like a Product Manager: You obsess over user problems, value vs. effort prioritization, user experience, and shipping MVPs quickly. You are a Hands-On Builder: You can get under the hood with data and automation. You're comfortable with SQL, Python (or similar), APIs, workflow tools, or low-code environments to build a working prototype yourself. You're AI-Curious & Practical: You actively experiment with AI/LLMs to automate manual tasks and make workflows smarter. You Understand Risk & Controls: You understand fundamental risk concepts (control design, RCSAs, issue management) and see the massive opportunity to transform them through tech. You Thrive in Ambiguity: You enjoy starting from first principles in a fast-paced environment and turning messy operational problems into slick, scalable digital solutions. You have experience in leading teams through change programmes, ideally within Financial Services Controls functions. You are hands-on and take satisfaction in supporting colleagues, projects or tasks however big or small - and can take a range of stakeholders on the journey with you You're excited by what we're doing at Monzo ℹ️ This role isn't for you if… Your technology and data experience has primarily involved defining requirements for Data or Engineering teams to build, rather than building solutions yourself. You aren't comfortable getting hands-on with data, automation tooling and technical problem solving. You aren't comfortable with ambiguity, or thinking from first principles You don't enjoy working in a fast-paced environment You aren't happy taking an MVP approach and doing what's good enough for now with iterative changes to follow Equally, if your experience is primarily technical and you don't have sufficient understanding of risk and controls to translate control problems into effective solutions, this role is unlikely to be the right fit. What's in it for you £85,000 - £115,000 ➕Incentive Awards tied to your performance. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . The application journey has 3 key steps Short call with a Monzo Recruiter Video-call with Hiring Manager (30 mins) Full-Loop: 3 x video-call interviews (covering Technical, Behaviours, and Leadership) This process should take around 4-5 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. ⏳ We'll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don't miss out. #LI-REMOTE #CM-1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

From Fivetran 's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're looking to hire a Sales Director to join the Revenue Team in Boston, MA. This person will be responsible for building out our enterprise customer base. The ideal person will be a proactive and curious member of our growing Sales team, identifying new business with prospects and growth opportunities for clients. A certain level of foresight and knowledge working with intrinsic sales cycles will take this individual confidently into the future of dbt Labs. What You'll Do Own the full sales cycle from lead to ongoing utilization for enterprise prospects Organize POC implementations of dbt Cloud Enterprise Win 20 new dbt Cloud Enterprise customers per year (after ramp) Lead and contribute to team projects that develop our sales process Work with product to build and maintain the dbt Cloud enterprise roadmap Become an expert in SQL, dbt, and enterprise data operations Be an active member of the dbt open source community Skills We're Looking For 6+ years closing experience in technology sales, with 2+ years of experience in enterprise sales. Ability to understand complex technical concepts and develop them into a consultative sale Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO) The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams Ability to operate in an ambiguous and fast-paced work environment A passion for being an inclusive teammate and involved member of the community Experience with SQL or willingness to learn Bonus Skills​ Prior experience in analytics, ETL, BI, and/or open-sourced software Knowledge of or prior experience with dbt The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $142,486—$178,107.75 USD OTE (On Target Earning) $284,972—$356,215.50 USD Perks and Benefits 100% employer-paid medical insurance Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We're honored to be valued at over $5.6 billion , but more importantly, we're proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran's culture and what it's like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ❤️ London/Cardiff/UK Remote | £79,900 - £95,000 + Incentive Awards tied to your performance + Benefits ✨ Our Credit Oversight team⭐ Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Risk Oversight team is growing with it - and we're looking for a Credit Risk Oversight Manager to join us! Our Credit Risk Oversight team is crucial in providing support and challenge to our Borrowing teams in the first line of defence to help Monzo grow safely. We're looking for someone (maybe you?!) with proven experience in consumer credit risk who likes getting into the details and analysing data to deliver independent assurance - and challenge - of credit risk management across the lifecycle. Ideally you'll have experience and in-depth knowledge of retail unsecured or small business credit risk strategy within financial services. You'll have seen first-hand how a credit portfolio performs at different stages of the credit cycle, and have hands-on experience in shaping or overseeing lending strategies. You'll have a collaborative approach, and be comfortable working across a broad range of stakeholders. You'll also be someone who likes getting into the details, analysing data and providing constructive challenges. You'll play a key role by... Providing ongoing oversight of credit risk - this includes analysing and understanding the performance of our existing lending products, developing and enhancing monitoring metrics and providing input to relevant committees and forums Partnering with our first line of defence teams to support credit strategy changes - including new product launches and pilots - ensuring that we deliver magical lending products for our customers while meeting our Risk Appetite Delivering deep insight, feedback and challenge on our credit strategies - including data-driven analysis and actionable counter-proposals - to support management decision making and shaping better outcomes for our customers Leading second line assurance work on thematic reviews Collaborating with our model validation and model development teams to ensure understanding of the models that underpin our credit strategies Providing credit expertise and input into relevant strategic projects and critical Monzo-wide processes, such as stress-testing and forecasting Supporting us in maintaining our Credit Risk Framework and making sure it is well embedded within the business Taking a balanced and proportionate approach to risk management, making sure that managing risks becomes part of everyone at Monzo's day-to-day role We'd love to hear from you if you … Have a strong background in credit risk management within consumer or small business lending - experience in unsecured product, such as credit cards, loans or overdrafts would be particularly beneficial Have proven analytical skills, and can use these to interrogate data, build monitoring and look for early indicators of trends Have hands-on experience and/or understanding of how to use credit risk scorecards and NPV models to develop strategies for making credit decisions Have a solid technical toolkit; SQL or similar is a must-have, and experience using a data visualisation tool (such as Looker, PowerBI or Tableau) is a plus Are excited to explore how we can use AI tools to improve our credit and risk management processes Can convey problems and solutions using clear and simple language, both written and verbal (see Monzo's tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts Have a track record of building and maintaining trusting relationships with stakeholders, while providing effective and respectful challenge Are passionate about technology, and what we're doing here at Monzo excites you! Not ticking every box? That's totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we're dedicated to creating a diverse and welcoming team. If you're passionate about this role and keen to learn and grow with us, we encourage you to apply - even if you don't have everything that's listed just yet. Drop us your application, we'd love to hear from you! What's in it for you £79,900-95,000 ➕Incentive Awards tied to your performance. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . The application journey has 4 key steps An initial call with our recruiter A call with one of our Credit Risk Oversight Managers, the hiring manager(s) for the role A take-home task Two competency, based interviews - one role specific technical interview and one behaviours and values interview This process should take around 4-8 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ❤️ London or Remote (UK) | £79,000 - £93,000 + Incentive Awards tied to your performance + Benefits About the team: Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we're looking for a Credit Model Validation Manager to join us! Our Credit Model Validation team is crucial in providing independent oversight and challenge to our model development teams in the first line of defence to help Monzo grow safely and ensure that the models we use deliver good outcomes for our customers. We're looking for someone (maybe you?!) to join our validation squad and provide expert independent validation and oversight across our suite of credit models, covering critical business disciplines such as credit strategy and impairment. You'll have a particular focus on models used for customer-level decisioning and defining our credit strategies - such as underwriting scorecards, origination PD models and Net Present Value (NPV) / unit economics models - across all our lending products. Strong data and analytical skills are a must, as is deep expertise in credit risk modelling. You'll have hands-on experience in either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. You'll play a key role by… Leading hands-on independent validation of models used for credit decisioning within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expected Supporting oversight and validation of broader credit risk models, including IFRS9, stress testing and economic response models Developing deep understanding of Monzo's credit models, and using this to provide impactful input and challenge to model developers to improve our modelling capabilities Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required Performing statistical analyses to independently assess model performance, including developing challenger models where appropriate to test model assumptions and strengthen validation conclusions Improving our Model Risk Framework, including overseeing our policies, standards and procedures to help embed best practice across the business. This means making sure we follow up-to-date regulatory guidelines, and adapt our processes to make sure they remain relevant as modelling techniques evolve Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees Partnering with colleagues in the first line of defence credit strategy and modelling teams - and wider risk teams across Monzo - to support the embedding of our model risk framework and establishing consistent validation standards across the organisation Embracing new and innovative technology, including leading the adoption of AI tools to enhance our model validation approach We'd love to hear from you if… Have a strong background and practical experience in credit model development and/or validation - in particular with exposure to machine learning or statistical models used in credit decisioning, such as decision science scorecards, origination / underwriting PD models, and NPV / unit economics modelling Are data driven, with strong analytical skills and deep understanding of statistical techniques for credit and model risk. Being able to get hands on with data is critical - so strong SQL and Python skills are essential, and experience with data visualisation tools such as Tableau, Looker or similar is a plus! Understand how models are used in real-time decisioning and lending strategies, and how to balance commercial and risk outcomes Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge Are impact-driven, and proactive in identifying issues and opportunities to improve outcomes for both our customers and our business Are passionate about technology, and what we're doing here at Monzo excites you! Our technology stack We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science and machine learning Go to write our application code AWS for most of our backend infrastructure The interview process: Our interview process usually involves up to four main stages via Google Hangouts: An initial call with our recruiter A call with our Senior Model Validation Manager, the hiring manager for the role A role-specific call with colleagues from our credit modelling teams. We'll share a short case study in advance, but you won't need to submit a written response; we'll use it to guide the discussion during the interview. A behavioural interview What's in it for you £79,000 - £93,000 + Incentive Awards tied to your performance benefits. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . We'll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don't want you to miss out! LinkedIn Tags: #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

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. You'd be joining the Artificial Intelligence team . We own the algorithmic core of the platform: Predictions, Contextual Personalization, contextual bandits, autosegmentation, and the agentic workflows behind Loomi. We work with behavioural data at terabyte scale, across 1,400+ customers, in production, every day. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. The mission You find the signal in how 1,400 brands' customers actually behave — and you prove it moved a business metric. Your models decide which customers are predicted to churn, which segments form themselves, which offer a shopper sees, and whether the discount changed anything or was going to convert anyway. What you'll actually do Frame the problem before modelling it. Most of our highest-impact work arrives as a vague business question, and turning it into something measurable is the first job. Work the data at scale. Behavioural data, product catalogues and event streams across BigQuery and Databricks — finding features that carry real predictive signal, not the ones that are easy to compute. Build and evaluate models across Predictions and Contextual Personalization: propensity and churn, contextual bandits, autosegmentation, uplift and incrementality. Design the evaluation, not just the model. Offline metrics, backtests, and the A/B design that decides whether this ships. You own the question "how would we know if this is worse?" Bring methods in from outside and judge them honestly — read the literature, run the quick PoC, and tell a real result from a well-marketed one. Hand off cleanly to ML Engineering. You own the model and the evidence; they own making it survive production. That handoff is a document and a conversation, not a notebook over a wall. Explain your results to people who aren't data scientists — Product, Engineering leadership, and sometimes customers. What success looks like after 12 months Two models you built are in production and you can name the business metric each one moved. A question the team was arguing about is settled, with evidence, and your writeup is what people link to. ML Engineering describes your handoffs as easy. This role bends in three directions We'd rather shape it around you than the other way round. Modelling & data science — features, experiments, and whether the number means anything. ML product engineering — you own an ML-powered feature end to end and the ML part is what makes it interesting. Platform & MLOps — pipelines, serving, deployment, observability, inference cost. Most people lean one way and dip into the others. This opening is centered on the first. If you'd rather own the serving path, latency and reliability, our our Senior AI/ML Engineer opening (in Czechia or Slovakia) is the better fit, and applying to both is fine. What you'll need 5+ years building ML models that shipped and were used by someone other than you — in industry, not only in research or coursework. Strong Python and genuinely strong SQL. You should be comfortable being handed a warehouse and finding your own way around it. Solid grounding in classical ML — tree-based models, regression, classification, clustering — and the judgement to know when the simpler model is the right answer. Real rigour on experiment design and evaluation. You know why a metric moved, and when it didn't move for the reason everyone assumes. Comfort on a cloud data platform — we work in GCP (BigQuery) and Databricks, but the principles transfer. A quantitative degree, or equivalent practical depth. Working English, written and spoken. Plus real depth in at least one of: Causal inference and uplift modelling — separating who converts because of an intervention from who would have converted anyway. Contextual bandits, sequential decision-making, or off-policy evaluation. Ranking, recommendation or information retrieval. LLM evaluation, or applied work with the GenAI stack. Also good: you use agentic coding tools daily and have a view on where they help and where they quietly don't. We build agents for a living, and people who use them tend to have better instincts about them. #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 €50.290—€62.900 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

This role is part of our Usersnap team, one of our growing brands at saas.group . Profile Overview Usersnap is building AI-driven capabilities into the core of the product, from automated setup to intelligent surveys, contextual analysis, and reporting that generates itself based on connectors. We're looking for a hands-on AI Lead / Engineering Manager to lead the small engineering team that ships these capabilities, and to set the technical direction while doing it. This is a player-coach role. You'll write and review code, make architecture calls, and define what "good" looks like for AI-native development. You'll also own team coordination, delivery timelines, workload allocation, and follow-through, so that work planned is work shipped, reliably and at production quality. This is a full-time, engineering-led role. It is not combined with product management: the technical leadership scope is substantial on its own, and you'll partner with Product rather than absorb it. AI capability is becoming core to Usersnap's product and go-to-market, especially as we move upmarket. You'll be the person who makes sure it ships well. Your immediate impact in the first 3-6 months will be: You'll have established a clear delivery rhythm for the team: shared priorities, realistic timelines, visible workload, and projects that get followed through to launch You'll have assessed the current state of the codebase, tooling, and practices, and set out a concrete engineering bar covering observability, testing, security, and architecture You'll have shipped at least one AI-powered feature to production with the team, from prototype through launch, using timeboxed AI development You'll have built a strong working relationship with Product and the rest of the company, and be seen as a reliable owner of ambiguous, technically complex work You'll have raised the team's standards while keeping people motivated and engaged Your responsibilities Team leadership and delivery Own team coordination, delivery timelines, workload allocation, and project follow-through for a small engineering team Keep work moving: break down ambiguous goals, sequence them with Product, flag slippage early, and make sure commitments are met Give clear, constructive technical feedback in code review, design discussions, and 1:1s, and raise standards without demotivating people Grow the team's capability, including how we use AI tooling to work faster without lowering quality Technical leadership Assess the current engineering bar and raise it. Define what "good" looks like for AI-native development, and make it the shared standard Set and enforce expectations in five areas: Observability: logging, monitoring, and tracing that make AI behavior, cost, and failures visible Testing: strong test coverage and automated-testing rigor, including evaluation of AI outputs Security and compliance: secure-by-default practices, as we move upmarket Scalable architecture and data pipelines: designs that hold up as usage and integrations grow Timeboxing: practical limits on AI development work, so exploration stays bounded and ships Own or steward key architecture decisions, including model selection and integration approach, and the tradeoffs between quality, cost, and latency Flag technical risks early, especially around AI reliability, cost, and edge-case behavior Hands-on contribution Design, build, and ship AI-powered features alongside the team, from prototyping through production quality Work hands-on with LLMs, embeddings, and related AI tooling to solve real product problems Build across the stack as needed. Every feature you ship should be tested, monitored, and maintainable Partnership Partner with Product on requirements and priorities, pushing back with technical reality when needed Partner with company leadership on technical planning, resourcing, and sequencing What You bring to the table Leadership Hands-on technical leadership with real engineering vision. You've led delivery for a small team, ideally for 2-3 years of people leadership, as a tech lead, engineering manager, or player-coach. Formal people-management experience is useful, but the essential need is someone who can wrangle delivery and provide senior technical direction A style that raises the bar. You give direct, specific technical feedback and hold high standards, and the team leaves those conversations more capable and more motivated Delivery discipline. You're comfortable owning timelines, allocating work, and following projects through to the end Technical depth 7+ years of software engineering experience , and you've shipped AI features to production and owned the lifecycle from problem framing to post-launch iteration, not just prototypes or AI-assisted coding Strong fullstack fundamentals. Comfortable across frontend, backend, and infrastructure as needed Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems, with good judgment about when AI is the right tool and when it isn't Observability and testing rigor. You build in logging, monitoring, and tracing from the start, and you insist on strong test coverage and automated testing, including evaluation of AI behavior Scalable architecture and data pipelines. Solid SQL, schema design, and the ability to design pipelines and systems that scale Evaluation mindset. You define success metrics, design experiments, run offline and online evaluations, and make decisions from the results Production readiness. Docker fluency, CI/CD, and good habits for versioning prompts, models, and datasets LLM platform breadth. Experience integrating multiple LLM providers, working with vector databases, and using LangChain (or similar); comfortable fine-tuning when it truly makes sense Security and compliance experience , or a strong interest in it, as we move upmarket Practical timeboxing of AI development work. You know how to keep AI exploration bounded, ship on schedule, and avoid open-ended experimentation How you work You identify problems and propose solutions on your own, rather than waiting to be told exactly what to build You're comfortable in a lean team where you own outcomes, not just tickets What's in it for You Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like. Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it. Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable. Small & friendly team: We help each other out, have fun, and joke around. Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally. Flexible time off: We want you to recharge your batteries when needed. Usersnap is part of saas.group and we have a shared goal of succeeding together. What is saas.group? Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 380+ colleagues spanning 50+ countries we are truly global and we are rewriting the playbook on SaaS innovation and collaboration. We grow 25 exciting brands under our umbrella. Feel free to explore our Candidate's Hub to get an insider's view, dive into our culture, gain valuable insights into our teams and how we work. Also, don't forget to follow saas.group on LinkedIn to stay up-to-date on our job openings, podcast episodes, and with all things happening at our company. We don't just simply offer you to "take a job with us" but rather to "join us on this journey" to build the world's largest platform of independent SaaS companies. Sounds like something you're up for? Feel free to apply even if you don't check all these boxes. We believe in the power of diversity and fresh perspectives to spice up our team. Your application might just be the missing ingredient! — saas.group is committed to creating a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're passionate about working with a team that values innovation, excellence, and fairness, we encourage you to apply. We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview - so you have everything you need to evaluate the opportunity.

Role Description As an Infrastructure Engineer, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the groundwork for the next wave of engineering innovations. From optimizing user experiences across various projects to ensuring seamless scalability and data integrity, you'll be at the forefront of shaping the technological backbone of our platform. Collaborating closely with cross-functional teams, you'll leverage your expertise to tackle audacious challenges and push the boundaries of what's possible. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate. Join us in redefining the future, where your passion for building scalable, reliable systems will drive meaningful change on a global scale. Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections. Lead the expansion of Dropbox 's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems. Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes. Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide. Proactively identify new opportunities and drive improvements in current project states, advocating for and implementing changes that potentially impact broader business initiatives across teams or products. Proficiency in effectively navigating through ambiguous situations and uncertainties, demonstrating adaptability and strategic thinking to steer projects towards successful outcomes. On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers. Requirements BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience 9+ years of professional software development experience Proven track record constructing and managing expansive, multi-threaded, geographically dispersed backend systems Proficient in programming and debugging across a range of languages such as Python, Go, C/C++, or Java Extensive experience working with operating system internals, filesystems, databases, networks, and compilers considered advantageous Ability to navigate and thrive in ambiguous situations, showcasing adaptability and open-ended problem solving. Capable of taking ownership of long-term projects and seeing them through to completion. Ability to set medium-to-long term strategy for business-impacting projects. Preferred Qualifications Proven track record of defining technical roadmaps for the team. Compensation Poland Pay Range 333 200 zł—450 800 zł PLN