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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Software Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught. Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day. You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger. This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders. Responsibilities Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it You may be a good fit if you have 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it A strong eye for quality educational content, with a sense of the complex systems that produce it Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure Experience building and operating platforms that serve many concurrent users reliably Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be Strong candidates may also have Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products Background in or exposure to learning science, instructional design, or educational research Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations Familiarity with building systems that incorporate LLM capabilities as core infrastructure Prior work at a high-growth company where you built platform infrastructure that other teams depended on Experience designing systems that non-technical users configure and operate The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Oakland, California, United States 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 Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You’ll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You’ll Do Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem 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. Oakland Pay Range $174,915 — $209,906 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.

Location: Denver, Colorado, United States, AMER 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 Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You’ll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You’ll Do Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem 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. Denver Pay Range $163,920 — $196,712 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.

Location: Ontario, Canada 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 Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You’ll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You’ll Do Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem 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. Ontario Pay Range $139,869 — $167,849.50 CAD 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.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Come lead the Identity & Access Management Platform team (IAM Platform) — the foundational layer that decides who can see and do what across all of ClickUp. This team owns the authorization engine, the permission and role model, authentication (SSO, MFA, SCIM, OIDC), sharing primitives, audit logs, and the core data model and APIs that define how customers' work is organized and nested across the product — the foundation every other part of ClickUp is built on. It is backend-heavy, high-blast-radius work. As we move upmarket, this is some of the most important and security-sensitive work we do — enterprises decide whether they can trust us based on how precise, predictable, auditable, and manageable our access controls are.   We're looking for a Senior Engineering Manager to lead and grow this team. Your mandate is twofold: deliver an enterprise-grade access management platform — extensible, configuration-driven, correct and auditable by design — and build the team that will carry it, hiring and developing engineers as we invest heavily in enterprise. You'll raise the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keep them there, partnering with a Staff engineer on technical direction while you own delivery, people, and priorities.   Just as important: you'll run this team the way ClickUp runs — AI-native. We structure work so AI agents can read it, route it, roll it up, and report on it, so a small team amplified by agents operates at a different scale. There are no status-reporting meetings; agents keep status, progress, and health current from real signals, and reporting is self-serve. We want a manager who has already used AI flows to cut noise, eliminate busywork, and streamline how a team operates — and who will push that further. RESPONSIBILITIES:   - Lead, grow, and develop the IAM Platform engineering team — own hiring, mentorship, performance, and career growth, and scale the team thoughtfully as we expand our enterprise investment. - Own the delivery of ClickUp's enterprise-grade access management platform: the authorization engine and permission/role model, authentication (SSO via SAML/OIDC and social/Okta/Entra, MFA/2FA, session and token management), SCIM provisioning, sharing and access-control primitives, audit logs, OAuth and API token management, and the core data model and APIs that define how customers' work is organized across the product. - Set the roadmap and priorities in partnership with product, security, and engineering leadership — elevating the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keeping them there. - Run an AI-native team: structure the work so agents can route, scope, and report on it; use AI flows to remove status meetings and manual reporting, reduce noise, and let a small team operate at scale. Continuously raise the bar on how the team leverages AI end-to-end. - Partner with enterprise customers, GTM, and security teams on access-control and identity requirements, and represent ClickUp credibly in enterprise security and architecture reviews. - Own operational excellence for high-blast-radius services: a healthy on-call rotation, safe migrations, reliability, and a clear security boundary where the server remains the source of truth. - Uphold a high engineering bar — design and code review, testing, performance, and security-by-design — for the most security-critical area of the product. - Collaborate across backend, frontend, platform, product, design, and infosec to ship coherent access experiences on top of the platform.   REQUIREMENTS:   - 8+ years of professional software engineering experience building production SaaS, with 3+ years managing engineering teams (including senior engineers). - Identity and access management experience is required — hands-on background delivering authentication and authorization systems: OAuth 2.0, OIDC, SAML, JWTs, MFA/2FA, enterprise SSO, SCIM, and RBAC/permission and role models, ideally in a multi-tenant environment. - A proven ability to use AI tools and agentic workflows to reduce noise and streamline how a team works — automating reporting, triage, and status, and freeing engineers to focus on building. - Experience delivering enterprise-grade SaaS at scale, and working directly with enterprise customers and their security, compliance, and administrative requirements. - A track record of building and scaling high-performing engineering teams — hiring, growing, and retaining strong engineers. - Enough technical depth to lead architecture discussions, make sound trade-offs on high-blast-radius systems, and hold a high bar without being the sole implementer. - A security-conscious mindset: you design access control precisely, treat the server as the source of truth, and think about correctness, auditability, and blast radius by default. - Excellent communication and cross-functional collaboration skills across engineering, product, design, and security. - Daily fluency with AI tools in your own workflow.   PREFERRED QUALIFICATIONS:   - Experience owning IAM or authorization at scale — millions of users, multi-tenant, or workspace-scoped identity and token models. - Experience designing configuration-driven or policy-based access models (RBAC/ABAC), authorization engines, or Zero Trust identity. - Experience with SCIM provisioning, audit logging, and enterprise compliance frameworks (SOC 2, ISO 27001, and similar). - A track record of moving a product upmarket and winning demanding enterprise customers. - Experience introducing AI-native or agent-driven operating models to an engineering team. - Experience managing engineers across backend and frontend, or managing other leads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Aberdeen Proving Ground, Maryland Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Data Collection Manager to support a large-scale Army test and evaluation program. The project provides data collection, technical writing, computer operations, range scheduling, and administrative support services necessary to execute the government’s test mission. Support encompasses testing of a wide variety of automotive, combat, electronic, general equipment, and ordnance materiel, with services including data collection and coordination, data compilation and processing, development and management of data collection forms, test monitoring, technical writing and editorial review, reporting, data and software administration, range scheduling, and related operational support. The Data Collection Manager will manage the administrative and technical activities of data collection, computer operations, and range scheduling personnel. The Data Collection Manager will oversee recruitment, hiring, training, workforce planning, resource availability, and data quality, and will serve as Deputy to the Program Manager. Work will be performed primarily onsite in Aberdeen, Maryland, with travel to other locations within the Continental United States (CONUS) and Outside the Continental United States (OCONUS) as required by mission needs. This position is contingent upon contract award. Responsibilities Manage the administrative and technical activities of data collection, computer operations, and range scheduling personnel. Oversee recruitment, hiring, and training to ensure qualified resources are available to meet government requirements and execute workload. Collaborate with government personnel on long-range workforce planning, including staffing, training, assignments, and resource availability. Provide leadership, technical advice, and assistance to personnel supporting data collection, computer operations, and range scheduling activities. Ensure test data meet project requirements and government standards for quality assurance, completeness, accuracy, and timeliness. Counsel employees on administrative and technical matters. Identify complex problems involving data collection techniques and staffing resources and recommend solutions. Serve as Deputy to the Program Manager. Qualifications Shall have a Bachelor’s Degree in a scientific, engineering or technology discipline and five (5) years’ experience in performing Reliability, Availability, Maintainability / Integrated Product support RAM/IPS or similar type of data collection of military/nonmilitary equipment and associated maintenance concepts; or an Associates’ Degree in a technical area and seven (7) years’ experience in performing data collection of military/nonmilitary equipment and associated maintenance concepts; or nine (9) years’ experience in performing RAM/IPS or similar type of data collection of military/nonmilitary equipment and associated maintenance concepts. Minimum of five (5) years of supervisory experience in the same or a similar discipline. Supervisory experience must include responsibility and authority to hire, direct, assign, promote, reward, transfer, discipline, or remove employees; address employee grievances; or effectively recommend such actions using independent judgment. Must possess an active Secret security clearance. Must possess a high school diploma. Must be proficient in speaking, reading, writing, and understanding English. Must be able to communicate clearly and concisely, both orally and in writing. Must be proficient in the use of computers and Microsoft Office software. Must be able to meet the physical requirements necessary to perform assigned functions, which may include working in extreme heat or cold, high humidity, blowing sand and dust, confined spaces, at heights, and walking distances over unimproved terrain while wearing required personal protective equipment (PPE). Must be available to support work outside normal duty hours when required by mission needs. Must be willing and able to travel within CONUS and OCONUS as required. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $85,000 — $175,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Toronto, Ontario, Canada 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. 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 Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. As a Staff Software Engineer , you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship. Technologies You'll Use Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality Coach and mentor engineers, demonstrably improving the quality of code across the team Write technical specs, document common components, and keep the team accountable for necessary project documentation Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own Participate periodically in the on-call rotation Skills We're Looking For 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion Deep expertise designing and owning subsystems in distributed, cloud-based systems Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience architecting metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem 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. Ontario Pay Range $162,157.50 — $198,877.25 CAD 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.

Location: Denver, Colorado, United States, AMER 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. 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 Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. As a Staff Software Engineer , you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship. This is a full-time, remote position. We do expect the successful candidate to come to the Denver, CA office from time to time. Technologies You'll Use Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality Coach and mentor engineers, demonstrably improving the quality of code across the team Write technical specs, document common components, and keep the team accountable for necessary project documentation Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own Participate periodically in the on-call rotation Skills We're Looking For 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion Deep expertise designing and owning subsystems in distributed, cloud-based systems Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience architecting metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem 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. Denver Pay Range $183,711 — $229,638.75 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.

Location: Toronto, Ontario, Canada 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. T ogether, 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 Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team(ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements 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. Ontario Pay Range $186,701 — $233,376 CAD 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.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 — £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots. You will design and train reinforcement learning policies that enable dynamic locomotion and loco-manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim-to-real transfer for reliable deployment on hardware. You will work closely with controls and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real-world conditions. Development will involve continuous iteration between large-scale simulation and hardware experiments. The problems you will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning. WHAT YOU’LL DO - Design and train reinforcement learning policies for humanoid robot control. - Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo). - Design reward functions, observation spaces, and curricula for complex behaviors. - Improve robustness and sim-to-real transfer of learned policies. - Deploy and evaluate policies on real robotic systems. - Integrate policies into the control stack. WHAT WE'RE LOOKING FOR - MS or PhD in Robotics, Machine Learning, Computer Science, or related field. - Strong experience with reinforcement learning (e.g., PPO, SAC, offline RL). - Experience applying RL to robotics or physical systems. - Experience deploying learned policies on real robotic systems. - Experience with physics-based simulation environments (e.g., Isaac Lab, MuJoCo). - Strong programming skills in Python and/or C++. NICE TO HAVE: - Experience with RL for locomotion or legged robots. - Experience with sim-to-real transfer. - Familiarity with robot dynamics, control, or whole-body control. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks You may be a good fit if you have: Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience 3+ years of experience specifically in cloud infrastructure financial management Experience working directly with major cloud service providers (AWS, GCP, Azure) MBA or other advanced degree in finance, economics, or business Deep expertise in cloud service provider economics, contract structures,  and pricing models Experience with chip architecture economics and optimization strategies Proficiency with financial modeling tools and languages (SQL, Python, Excel) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Serving 2,000+ Distinct Ad Experiences With Sub-Second Time to Interactive The rewarded ad experience is where the value exchange becomes real, the second a user decides whether to engage or scroll past. The Catalog team owns that moment, designing how users discover and interact with the most relevant ads. With over 200 million monthly visits, there's no room for slow rendering or poor personalization. Performance and relevance have to be perfect on every request. The system runs on AWS Spot Instances spare compute capacity that can disappear at any moment, yet our system is built to stay online without any interruption for the user. Backed by Kubernetes with event-driven autoscaling, everything is tuned for millisecond-level data retrieval so the experience never feels slow, even at 200 million monthly visits. The frontend is built on React and Vite, leveraging Code Splitting and Tree Shaking to keep core bundles lean and Time to Interactive under a second. On top of that, a config-driven engine lets the team customize the entire ad experience or run A/B experiments per more than 2000 games on the fly, ensuring the right ad reaches the right user while continuously moving conversion rates in the right direction. YOUR MISSION & WHO WE ARE LOOKING FOR - Production Golang Systems Expertise: You bring 5+ years of backend development experience, including at least 3 years writing Go in production distributed environments. You will build and maintain our +99% Go microservice architecture—interfacing with our TypeScript/React frontend—to reliably handle 2+ million daily publisher interactions and scale beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming: You have hands-on experience designing asynchronous microservice communication using event buses like Kafka, SQS/SNS, and Kinesis. You will build pipelines to collect billions of daily API events and aggregate them into our data lake for sub-second querying. - High-Scale Data & API Optimization: You understand database internals and low-level web standards (HTTP protocol, Encoding, Regular Expressions). You will optimize queries across hundreds of terabytes of data across DynamoDB, MySQL, Druid, and Athena to reduce API response times and expose transparent, well-documented open APIs to enterprise partners. - Data Science & Algorithmic Integration: You quickly grasp complex technical topics and applied mathematics. You will partner directly with our Data Science team to translate and integrate machine learning algorithms into adjoe’s core application, optimizing real-time ad targeting. - Collaborative Technical Communication: You communicate fluently and precisely in spoken and written English. You will actively participate in peer code reviews and technical knowledge sharing across an international backend engineering team. - Plus: Infrastructure & Cloud Tooling: Hands-on experience with Terraform (Infrastructure as Code), Docker containerization, or serverless infrastructure. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Lisbon Workplace: Hybrid Role Highlights: - Title: Stock & Logistics Manager - Department: Global Manufacturing Organization - Reports to: Head of MAITE, Optics - Location: Lisbon, Portugal - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) About the role As a Stock Manager, you lead the flow of materials, components, and finished goods across ICEYE's manufacturing operations, ensuring the right parts are available at the right time to support production. You will own inventory management, warehousing, and inbound/outbound logistics across multiple sites, working closely with Procurement, Production Planning, Manufacturing, and Quality to keep materials moving efficiently through a fast-paced, rapidly scaling supply chain. This is a hands-on leadership role: you will develop the warehouse and logistics team, manage relationships with freight providers and logistics partners, and drive continuous improvement to build the systems and processes that support ICEYE's growth.     This is a talent pool posting. We are building our Lisbon manufacturing organisation ahead of site ramp-up. We expect this role to open formally in Q4 2026. Applying now registers your interest early and puts you at the front of the process when the req goes live. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. What you will do - Manage the end to end flow of materials, components, and finished goods across ICEYE's manufacturing sites, ensuring timely and accurate movement of inventory to support production schedules. - Oversee inbound and outbound logistics, including freight forwarding, customs clearance, and coordination with carriers and third party logistics providers. - Work to execute the compliance with international trade regulations, including ITAR, EAR, and dual use export controls - Develop and maintain relationships with suppliers, carriers, and logistics partners to secure reliable service, and capacity during periods of high demand. - Monitor and optimise inventory levels across sites to balance availability against cost, reducing excess stock and avoiding shortages that could delay manufacturing. - Define and track key logistics performance indicators such as on time delivery, lead times, freight cost, and inventory accuracy, and drive continuous improvement against these measures. - Coordinate with procurement, production planning, and quality teams to align logistics activity with broader supply chain and manufacturing priorities. - Manage the handling, packaging, and transport of sensitive and high value aerospace components in line with quality standards such as AS9100 and relevant ECSS requirements. - Lead, develop, and support the logistics team, setting clear objectives and fostering a culture of safety, accountability, and operational excellence. - Identify and implement process improvements and automation opportunities to increase efficiency and scalability as the business grows. - Manage logistics risk, including contingency planning for supply disruptions, geopolitical factors, and transport delays. What we’re looking for Must haves: - Experienced in working in a structured production environment, within Aerospace, Automotive or similar. - 3-5 years experience of working in a logistics environment - Experience working with Warehouse Management (WMS) systems and processes - Experience of working with inbound and outbound shipping flows - Experience of managing a team, with clear background of developing and scaling - Experience of working with an ERP system, such as SAP - Strong experience and competence using Excel and or Google Sheets Application Process - Screening with Talent Team - Hiring Manager Interview - Meet the Team Interview (Technical case) - FInal Interview. Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependant on experience, and will be negotiated individually. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Lisbon Workplace: OnSite Role Highlights: - Title: Facility & Lab Manager - Department: Global Manufacturing Organization - Reports to: Head of MAITE, Optics - Location: Lisbon, Portugal - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) About the role ICEYE is looking for a Facility & Lab Manager responsible for overseeing the operational readiness, safety, and performance of all MAITE production and laboratory environments. This includes ownership of cleanroom operations, ESD compliance, infrastructure maintenance, lab support, and overall facility safety and functionality. The role ensures that all ICEYE facilities under MAITE operate reliably and efficiently to support production, integration, and testing activities. The Facility Management team works closely with AIT Engineering, Production, Stock Management, Operational Excellence, Logistics, and Supply Chain teams to enable continuous, safe, and high-quality satellite manufacturing operations. This is a talent pool posting. We are building our Lisbon manufacturing organisation ahead of site ramp-up. We expect this role to open formally in Q4 2026. Applying now registers your interest early and puts you at the front of the process when the req goes live. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. What you will do - Lead and develop the Facility Management team, ensuring safe, reliable, and compliant operation of all MAITE technical facilities and laboratories. - Oversee and maintain environmental controls in production and test areas — including temperature, humidity, and particulate monitoring. - Coordinate cleanroom readiness and compliance, ensuring proper usage, maintenance, and environmental control within defined standards (without owning cleanroom operations themselves). - Manage preventive maintenance, equipment calibration, and infrastructure servicing to maintain continuous facility readiness. - Plan and implement facility improvement projects and layout modifications in collaboration with AIT Engineering, Production, and Operational Excellence. - Ensure all controlled environments comply with ESD, safety, and facility certification requirements, and lead regular audits and follow-ups. - Collaborate closely with Stock Management, Logistics, and Supply Chain to ensure facility and storage areas support material flow and operational efficiency. - Monitor facility performance indicators such as environmental stability, maintenance response times, and safety metrics, and drive continuous improvement actions. - Manage service providers and external contractors to ensure effective and timely support aligned with ICEYE quality and safety standards. - Coordinate and maintain training and certification programs related to facility safety, cleanroom entry, and ESD awareness for all relevant staff. - Act as the primary point of contact for facility incidents or emergencies, ensuring effective response and minimal operational disruption. What we’re looking for Must haves: - Bachelor’s degree or equivalent experience in Facilities Management, Industrial Engineering, Mechanical Engineering, or a related field. - Minimum 5 years of experience in facility, lab, or operations management within a technical or high-reliability environment (e.g., aerospace, electronics, or defense). - Strong understanding of ESD control, cleanroom standards, environmental monitoring systems, and preventive maintenance planning. - Demonstrated experience managing contractors, service providers, and technical infrastructure projects. - Hands-on, proactive, and structured work approach with excellent organizational skills. - Strong communication and leadership capabilities; able to coordinate across multiple teams and stakeholders. - Ability to work effectively in a fast-paced, evolving environment, maintaining composure and structure under pressure. - Knowledge of safety and compliance frameworks applicable to controlled environments (e.g., ISO 14644, ECSS, or equivalent). Application Process - Screening with Talent Team - Hiring Manager Interview - Meet the Team Interview (Technical case) - FInal Interview. Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependant on experience, and will be negotiated individually. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As IT Operations & Cyber Lead, you will manage Humanoid’s corporate IT environment, ensuring it is secure, reliable, and scalable as the company grows. This is a hands-on leadership role, combining responsibility for end-user computing, identity and access management, corporate networking, and cyber security operations. You will partner closely with: - Engineering team, who manage product infrastructure (AWS, CI/CD, robotics environments); - ITSM Lead, who manages service process, management and support - The IT Director, to align on overall strategy, operational reliability, governance, and security maturity with business growth. WHAT YOU'LL DO - Own Humanoid’s corporate IT environment – covering endpoints, networks, identity, and security – ensuring reliability, scalability, and compliance. - Lead end-user computing and identity management, including device lifecycle, MDM, SSO/MFA, and access provisioning in partnership with ITSM. - Implement, operate and continually improve cyber defences across endpoints and SaaS platforms: vulnerability management, EDR/SIEM, and incident response. - Manage vendors and core infrastructure partners, ensuring cost-effective delivery, timely patching, and contract governance. - Maintain secure, high-performance connectivity for offices, labs, and remote users; coordinate with Engineering on network separation and integration. - Define and enforce IT and security standards, policies, and backup / recovery procedures that meet ISO 27001 / SOC 2 / GDPR expectations. - Monitor and report IT and security health, highlighting risks, incidents, and KPIs to the IT Director, and feed improvements into the IT roadmap. WHAT WE'RE LOOKING FOR - Proven experience leading IT operations and cyber operations in high-growth or technology-driven organisations. - Hands-on expertise in: - Identity & Access Management (Google Workspace, Azure AD, Okta or similar) - Endpoint Management (Intune, Jamf, or similar) - Corporate Networking (LAN / Wi-Fi / VPN / firewalls) - Cyber Security Operations (EDR, SIEM, vulnerability management, incident response) - Demonstrated ability to define and enforce standards and processes that combine agility with control. - Strong vendor and stakeholder-management capability. - Excellent communication skills; able to bridge technical and non-technical audiences. - Comfortable in a start-up/scale-up environment — pragmatic, adaptable, and ownership-driven. Desirable - Experience supporting ISO 27001 or SOC 2 certification efforts. - Experience automating IT workflows via scripting (PowerShell, Python, or equivalent). - Exposure to robotics, IoT, or AI product environments. - Knowledge of ITIL-based service processes. - Familiarity with secure development or DevSecOps concepts. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is seeking a highly driven and experienced Product Program Manager to join our Product Department. This critical role will lead the end-to-end development and delivery programme and relevant product-related projects for Humanoid's next-generation bipedal humanoid robot fleet solution – from Alpha prototype to production version, and from early adoption to mass deployment and further to different version obsolescence. As the anchor for the development, launch and deployment process, you will drive cross-functional coordination across Product, Engineering, Operations, and Marketing teams to ensure that the solution is delivered on-time, on-cost, on-quality, and on-spec. This is a highly collaborative role, requiring deep expertise in programme delivery and budget management across both technical and non-technical workstreams, as well as in product lifecycle for products that combine cutting edge hardware and software technologies. You will work closely with Engineering's Technical Program Managers (TPMs), who own the detailed technical execution of the mechanical, actuation, controls, perception and other AI systems that underpin safe and reliable bipedal locomotion, manipulation and interaction, to ensure their workstreams are integrated into the overall programme plan, as well as other key stakeholders. The ideal candidate will possess strong leadership skills, a structured delivery and product-oriented mindset, and the ability to operate confidently across a diverse stakeholder landscape. WHAT YOU'LL DO - Lead the full lifecycle programme management of the humanoid robot fleet solution development & deployment – from planning, design, prototyping, testing, manufacturing to launch, early to mass deployment, version update to obsolescence or repurposing. - Act as the central coordination point between Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance to align resources, schedules, and deliverables. - Develop and maintain programme plans, risk registers, dependency maps, and stage gates to ensure structured and transparent delivery. - Champion best-in-class governance, reporting, and communication processes to ensure all stakeholders remain informed and engaged. - Identify and mitigate programme risks and issues early to maintain momentum and resolve delivery challenges. - Support the Product Department in defining scope, prioritisation, and trade-off decisions throughout the development & deployment cycles. - Drive alignment between cross-functional teams and facilitate decision-making to unblock issues across technical and operational domains. - Own programme budget planning and management across development, testing, tooling, and deployment phases – building and maintaining the budget, tracking actual spend against plan, forecasting variances, managing change control on cost impacts, and reporting budget performance to senior stakeholders. - Partner with Engineering's Technical Program Managers (TPMs) to drive delivery of the bipedal locomotion, whole-body control, sensor integration, and safety/certification workstreams – ensuring their technical plans and test campaigns are reflected in the overall programme schedule and dependencies, with progress reported transparently to stakeholders. TPMs own the detailed technical execution and design decisions; this role owns the programme-level integration, sequencing, and accountability for outcomes. - Work with Engineering TPMs, Supply Chain, and Finance to manage the commercial, budget, and schedule aspects of supplier/partner relationships for critical bipedal subsystems (actuators, gearboxes, batteries, sensors), and to translate technical KPIs (e.g. locomotion performance, MTBF, production readiness) into programme-level cost, schedule, and quality reporting. WHAT WE'RE LOOKING FOR - Bachelor’s degree or higher in Mechanical, Electrical, Mechatronics, Manufacturing, Industrial Design Engineering or a closely related technical discipline. - 7+ years of experience in programme or project management roles within technology or product development environments, preferably in Robotics or Consumer electronics environments, having followed different stages of product lifecycles. - Formal project management qualification (PMP, PRINCE2, or equivalent). - Proven track record of successfully delivering complex, multi-disciplinary hardware and/or software product development programmes. - Strong experience in managing cross-functional teams spanning engineering, operations, manufacturing, finance, and supply chain. - Excellent communication, stakeholder management, and problem-solving skills. - Ability to work in a fast-paced and evolving environment, driving clarity and direction across multiple teams. - Experience owning or managing programme budgets for complex hardware/technology programmes, including cost tracking, forecasting, and reporting. - Experience partnering with technical/engineering leads (e.g. Technical Programme Managers) on complex hardware programmes – ideally including legged or bipedal robotics, or closely related fields such as locomotion research or actuator-driven mechatronic systems – with enough technical fluency (actuators, controls, sensors, robotics safety standards) to translate technical risk into programme impact and make informed scope and trade-off decisions, without requiring hands-on engineering ownership. Nice to have: - Direct experience working on or managing a bipedal or legged humanoid robot programme, from prototype through to production and deployment. - Experience with mass-production ramp-up of complex robotic or mechatronic hardware, including supplier qualification and manufacturing scale-up. - Familiarity with simulation-to-real transfer, digital twin practices, or reinforcement-learning-based control as used in modern humanoid development. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Remote - European Region Workplace: hybrid Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Responsibilities: Manage and troubleshoot complex distributed large-scale software systems Build scalable, secure and reliable container-based infrastructure Automate software delivery processes with CI/CD pipelines Collaborate within DevOps, development, security, compliance teams Ensure the security and stability of the infrastructure Improvement and strengthening DRP On-going DevOps activities in support of development/deployment/testing processes Requirements: 3+ years of experience in DevOps, SRE, or data platform/infrastructure related field Experience of operating stateful/distributed systems in production, good understanding of systems fundamentals (networking, storage, scaling) Hands-on experience with cloud platforms (Azure, AWS, or GCP) and Kubernetes Experience with Infrastructure as Code (e.g., Terraform) Familiarity with modern deployment practices (e.g., GitOps with ArgoCD/Flux) Development and scripting skills (Python, Bash) Expertise in any observability solutions (Prometheus stack, etc) Linux system administration expertise Understanding of DevOps security principles Troubleshooting skills Good communication skills Proficiency in English and Russian, written and verbal Nice to have: Terragrunt Azure, and/or GCP Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/