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Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: USA - New York 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 both companies' strengths 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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work . This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 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. New York Pay Range $119,641 — $143,575 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: Oakland, California, 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 both companies' strengths 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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work. This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive and organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk without heavy oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 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 $119,641 — $143,575 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: US, Boston, MA 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 seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. WHAT YOU'LL DO - Team Leadership & Product Security Delivery - Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. - Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. - Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. - Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification - Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. - Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. - Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. - Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security - Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. - Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support - Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. - Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. WHAT WE'RE LOOKING FOR - Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. - Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments. - Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. - Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development. - Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner. - Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: - Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. - Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths. - Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. - Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. - Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. - Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: San Francisco; New York ABOUT THE TEAM OpenAI Academy is an AI literacy initiative dedicated to ensuring the benefits of AI are widely shared. Our programs help individuals and organizations build AI fluency, explore real-world applications, and use AI responsibly to solve problems. Academy delivers in-person and virtual learning experiences in partnership with mission-aligned organizations. We create hands-on, accessible programs for audiences with different goals, contexts, and levels of experience. To date, over 4 million people worldwide have engaged with our content online, and thousands have attended our in-person events. ABOUT THE ROLE We’re seeking an experienced, highly self directed Learning Designer & Content Developer to create and test AI training for OpenAI Academy’s in-person and virtual programs. You’ll work with Academy leads and subject-matter experts to produce training packages from agreed-upon briefs, incorporate feedback, and meet delivery timelines. OpenAI will set program priorities and retain final approval of curriculum, content, and delivery standards. This is a contractor position. IN THIS ROLE, YOU WILL: Learning Design & Content Development - Personally develop complete training packages, including polished, brand-aligned slide decks; speaker notes and concise live facilitation cues; demonstration scripts and prompts; realistic sample files; participant exercises and handouts; and facilitator preparation materials. - Design practical learning experiences for virtual and in-person delivery, with clear learning objectives, realistic timing, transitions, prompts, participant practice, and fallback plans. - Adapt examples, language, pacing, setup instructions, and practice activities to participants’ roles, goals, digital confidence, and AI experience. Design clear support for beginners and meaningful extensions for experienced participants, with useful outcomes learners can apply to their own lives or work. - Work with subject-matter experts and Academy leads to turn complex product and policy concepts into clear, accurate, and usable instruction. Curriculum Development & Maintenance - Create reusable templates and document agreed design standards and production practices. Keep source materials organized, current, and clearly versioned so facilitators and partners can find approved materials. - Develop agreed training packages from initial brief through review, rehearsal, final handoff, and subsequent updates. Keep slides, guides, prompts, exercises, and supporting assets aligned as the training evolves. - Keep assigned training materials up to date as product capabilities, interfaces, and access requirements change. Update affected slides, prompts, demos, exercises, and facilitator guides, and retest workflows before delivery. Facilitation & Trainer Support - Pilot new trainings, lead rehearsals, and facilitate selected sessions to test materials and model effective delivery. - Develop materials and support pilots to extend and improve Academy’s existing facilitator training pathway under the Academy team’s direction. - Prepare and coach Academy and partner facilitators to use the materials through rehearsal and feedback, following OpenAI-approved guidance on accuracy, inclusion, safety, and participant experience. Instructional Quality & Continuous Improvement - Create lightweight learning-assessment and participant-feedback approaches that reveal whether programs are understandable, relevant, and actionable. - Use rehearsal findings and participant and facilitator feedback to recommend and implement revisions to materials and delivery guidance. - Build and rehearse demonstrations in the intended delivery environment. Verify prompts, outputs, timing, account and feature requirements, and screen readability; prepare realistic sample data, setup and reset instructions, and fallback outputs where needed. Cross-Functional Collaboration - Work closely with Academy program leads, trainers, subject-matter experts, and relevant Global Affairs, Product, Customer Education, Communications, and partner teams. - Coordinate reviews at agreed milestones, resolve content and usability issues, and submit materials for OpenAI’s final approval. WHAT SUCCESS LOOKS LIKE - Complete, tested training packages are delivered on schedule, meet Academy’s requirements, and enable facilitators to run engaging sessions without extensive clarification or undocumented knowledge. - Participants can complete the intended activities and apply what they learned; audience adaptations reflect their needs while preserving the agreed learning objectives. - Academy leads can delegate training development from an agreed brief, with focused review at key milestones and final approval by OpenAI. - Rehearsal observations and participant and facilitator feedback lead to specific improvements, and materials remain current as products and audience needs change. WE’RE LOOKING FOR - Demonstrated experience in learning design, instructional design, adult learning, customer education, educator development, or a closely related field. - A portfolio of complete training programs you personally designed and produced, including presentation materials, facilitator guidance, practical exercises, and demonstrations. Be prepared to explain your contribution, what changed after testing, and how other facilitators used the materials. - Strong live facilitation skills and the ability to rehearse and deliver practical learning sessions for audiences with different levels of experience, confidence, and familiarity with AI. - Strong hands-on proficiency with ChatGPT and AI-assisted workflows, including the ability to independently build, troubleshoot, and explain practical demonstrations for nontechnical audiences. - Strong writing, editing, and slide-development skills: you make complex material clear, accurate, and actionable, and create polished, accessible materials that follow brand guidelines. - Experience verifying product claims and updating instructional materials as capabilities, interfaces, and access requirements change. - Experience managing content versions, incorporating stakeholder feedback, and delivering multiple training projects against agreed briefs and timelines. - Sound judgment, attention to detail, and comfort operating in a fast-moving environment with evolving priorities. - A commitment to accessible, inclusive learning and enthusiasm for OpenAI Academy’s mission. PREFERRED EXPERIENCE - Designing AI literacy, digital-skills, workforce, public-interest, or technology-learning programs. - Adapting learning experiences for different communities, sectors, languages, or cultural contexts. - Coaching facilitators, developing train-the-trainer resources, or supporting delivery through partners at scale. - Using lightweight assessment, field observation, or performance evidence to improve instruction. POTENTIAL EXPANSION AREAS Additional work may be agreed upon with Academy leads based on program needs and contractor capacity, including: - Translation and localization systems for Academy materials. - Support for facilitator assessments, field observation, and quality sampling using OpenAI-approved readiness criteria, with qualification decisions retained by OpenAI. - Additional learning-assessment tools and impact-measurement support.

Location: USA - Austin (dbt) 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 both companies' strengths 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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work. This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight. Bonus Skills​ Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $104,036 — $124,848 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: 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 a Humanoid Robot AI Data Collector, you will teleoperate humanoid robots and follow well-defined procedures to generate high-quality datasets used for training advanced AI models. You will work hands-on with physical robots using on-site tools and interfaces—such as the Universal Manipulator Interface (UMI)—to execute structured tasks and capture precise data. A significant part of the role involves annotation and labeling, requiring strong focus, accuracy, and pride in craftsmanship. This role is for individuals who thrive in a fast-moving, team-oriented environment; who take ownership, communicate openly, and embrace continuous learning. No technical background or formal education is required; full training is provided. This is a fully on-site role, working hands-on with robots and on-site systems such as UMI, and may involve periods of standing, regular movement, and interaction with physical hardware. This position is a permanent night shift, with working hours of 10:30 pm - 6:30 am, and may require occasional travel in line with business needs. WHAT YOU'LL DO - Teleoperate humanoid robots with consistency, precision, and a strong sense of ownership over data quality. - Perform on-site data collection using tools such as the Universal Manipulator Interface (UMI). - Capture and organise multimodal data (e.g., video, motion trajectories, task logs) with high accuracy and attention to detail. - Annotate and label data following strict guidelines, treating the work as a high-skill technical discipline. - Identify anomalies or issues proactively and escalate or solve them at the lowest responsible level. - Suggest improvements to workflows, processes, or tools—everyone contributes to process design. - Maintain clear, transparent documentation of progress and dataset quality. - Move with urgency and focus, ensuring timelines and daily goals are met. - Communicate openly with team members, sharing feedback and observations across functions. - Collaborate respectfully and positively with teammates, helping create a supportive and high-performing culture. WE'RE LOOKING FOR: - No formal technical education required — full training will be provided. - Comfortable using computers and digital interfaces. - Exceptional attention to detail and ability to follow precise instructions. - Strong time management, urgency, and reliability in meeting daily/weekly targets. - Ability to maintain focus and high-quality output during repetitive tasks. - Proactive mindset — willingness to take initiative without waiting for direction. - Clear, transparent communication skills for reporting findings and collaborating with the team. - Commitment to iterative learning, continuous feedback, and constant improvement. - Interest in robotics, AI, or emerging technologies is welcome but not required. WHAT WE OFFER: - 30+ days time off, including 23 days 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.

Требования: — 5 лет опыта — Знание Swift, Objective-C, iOS SDK, UIKit, SwiftUI — Знание Apple’s Human Interface Guidelines — Хороший уровень английского языка О компании: Buymie — мобильная платформа, предоставляющая услуги по доставке продуктов по всей Ирландии. Компания была признана Deloitte самой быстрорастущей технологической компанией в Ирландии. Размер команды — 51-200 человек Инвестиции — €17M Руководитель: CEO и ко-фаундер — Devan Hughes. В компании работает много русскоговорящих сотрудников.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabilities. Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments A portfolio demonstrating user-centered design thinking and polished UI craftsmanship Proficiency with modern design and prototyping tools, such as Figma Experience using AI tools such as Claude Code as a creative partner in your own design practice Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications Experience prototyping with front-end code (e.g., HTML/CSS/JS) Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities 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: $305,000 — $460,000 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. 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: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Kubernetes Platform Engineer (Controllers) Sony Interactive Entertainment At PlayStation, we're leading the revolution in cloud gaming as we push the boundaries of what's possible! Would you like to use your skills, time, and passion for meaningful projects that are building the future? We're looking for a Platform Engineer who enjoys building Kubernetes-native systems and automation that operate reliably at global scale. If you're passionate about software engineering, Kubernetes, and solving challenging distributed systems problems, we'd love to hear from you. Come help us deliver a unique gaming experience to millions of players around the world. Responsibilities Design and develop Kubernetes controllers and operators that automate the lifecycle of platform services. Contribute to the development of our global workload placement system, enabling intelligent scheduling across Kubernetes clusters running in both public cloud and on-premises data centers. Develop Kubernetes APIs and Custom Resource Definitions (CRDs) that provide clean, maintainable interfaces for platform capabilities. Build and maintain reconciliation logic that safely manages distributed system state. Develop controllers and operators that automate provisioning, configuration, upgrades, and lifecycle management of Kubernetes-based platform components deployed across hybrid cloud environments. Work closely with platform and service teams to build automation that simplifies operating large-scale distributed systems. Improve the reliability, scalability, observability, and maintainability of the platform through thoughtful engineering and continuous improvement. Investigate production issues and participate in root cause analysis to improve platform reliability. Requirements Solid understanding of Kubernetes architecture, lifecycle and core concepts, including workloads running across cloud and on-premises environments. Experience developing software in Go or another modern programming language, with an interest in Go development. Experience building software for Linux-based environments. Experience with Kubernetes development, including controllers, operators, or Kubernetes APIs. 3+ years of professional software engineering experience. Strong problem-solving skills and a desire to learn new technologies. Skills & Knowledge Understanding of Kubernetes reconciliation patterns and declarative system design; especially understanding the principals of Communicating Sequential Processes (CSP). Experience using Kubernetes in production environments. Familiarity with controller-runtime, Kubebuilder, Custom Resource Definitions (CRDs), Common Expression Language (CEL) rules, or Kubernetes API extension mechanisms. Experience building or operating distributed systems spanning public cloud and on-premises infrastructure. Familiarity with Infrastructure as Code (IaC) and GitOps workflows. Experience working with bare metal infrastructure, hybrid cloud environments, or multi-cluster Kubernetes deployments is highly desirable. Experience with Cluster API (CAPI), SIG Multicluster, Karmada, or other Kubernetes ecosystem projects is a plus. Additional Attributes Strong communication and collaboration skills. Comfortable working as part of a distributed engineering team across multiple time zones. Takes ownership of assigned work and follows through to completion. Curious, pragmatic, and eager to learn from teammates while sharing knowledge with others. Enjoys solving the unique engineering challenges of operating software across globally distributed cloud and on-premises infrastructure. Passionate about building reliable systems and improving the user experience. Contributions to open source projects, particularly within the Kubernetes or CNCF ecosystem, are a plus. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, gender identity, marital status, genetic information or membership in any other legally protected category. We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to apply. We sincerely appreciate the time and effort you spent in contacting us, and we thank you for your interest in PlayStation. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Belgrade; London; Berlin Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities: - Design and implement highly available, high-performance, and scalable systems. - Design and implement various tools for other engineers helping them with their day to day job. - Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration. - Maintain and optimize key-value and relational databases. - Scale and load balance web server backends to meet rapidly changing needs. - Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues. - Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance. Qualifications: - Strong experience with cloud infrastructure built on AWS. - Proficient in database management and caching strategies. - Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues. - Experience working with containers (Docker, Kubernetes) and orchestration tools. - Excellent communication and collaboration skills. - Experience with Python and Terraform. - 3+ years of DevOps/SRE/System Administration experience.

Location: South Africa Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. We're looking for native-level speakers who can deliver natural, everyday-sounding speech — recordings that hold up whether you're reading a script or speaking spontaneously.  Please note: the recordings you produce may be used to create synthesized, AI-generated voices for conversational AI products. Full details on how your data is collected, used, shared, and retained are set out in a Consent Form, which you'll review and sign before any paid session recording begins.  What You'll Do If Selected:      - Two supervised sessions of approximately 4 hours each, guided in real time by a Session Director on a separate recording platform.      - Record scripted material in a natural, conversational tone — faithfully, without a polished, performed, or “announcer” delivery.      - Record unscripted, spontaneous speech on a given topic, matching the same warmth and pace as your scripted takes.      - Set up and manage your own recording space and equipment for session recording.      - Deliver all recordings entirely in the required language (with specific dialect), without code-switching into other languages or dialects.  What We're Looking For  Required      - Experience as a voice actor, actor, or theater performer, or a comparable performance background.      - Native or native-equivalent fluency in the required language (with specific dialect).      - Access to a quiet recording space, free of echo and background noise (acoustically treated for session recording, if selected).      - Owns or will acquire a dedicated, professional-grade microphone for the audition (e.g. RODE NT-USB Mini, Blue Yeti), upgrading to a qualifying USB condenser or XLR mic + audio interface for session recording if selected. Built-in laptop mics, AirPods, earbuds, and headsets are not accepted at any stage.      - Owns closed-back monitoring headphones (required for session recording if selected).  Comfortable both self-directing for the audition and taking live direction from a Session Director in guided sessions.  Preferred (nice to have, not required)      - Professional voice-over experience (dubbing/ADR, audiobook, podcasting) in a conversational rather than commercial/announcer register.      - Baseline audio hygiene: comfortable setting mic distance and catching noise, clipping, or distortion yourself.      - An existing home recording setup already treated for sound.  Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote     - Rate: $20.00 USD per hour   Your Data & Privacy  Before any session recording, you'll be asked to review and sign a Consent Form covering how your voice recordings are collected, used (including to train synthesized/AI voice models), shared with approved partners, retained, and how to exercise your data rights (access, correction, deletion, and more, depending on where you live). If you'd like to review these terms before applying, contact us and we'll share a copy in advance.  #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.   How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.  About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Belgrade, Serbia; Prague, Czechia; Warsaw, Poland; Bratislava, Slovakia; Budapest, Hungary The Feasibility Manager (FM) produces and oversees recommendations for country and site selection strategies, as well as enrolment projections and subject recruitment strategies within the Global Study Start-Up and Site Intelligence department. This position assures the integrity and proper interpretation of used data sources and the resulting strategy provided in feasibility proposals and reports. The FM supports Business Development (BD) and the Allucent Centers of Expertise (ACEs) . The ACEs are designed, structured, and resourced to deliver comprehensive trial and regulatory strategy; effective patient-focused recruitment plans; and solutions that meet specific needs. The Global Feasibility Manager will play a key role in supporting our ACE heads in winning new business by understanding protocol’s expectations, the mechanism of action of the drug and analysing data to provide strategic feasibility recommendations. This position reports to the GSSU, Site & Patient Engagement department. Key Responsibilities: Provide input to proposals and business development to help build project assumptions, budget, and timelines (including overall recommendations on the countries, number of sites and projected number of patients). Identify and present regions where the disease is prominent to create an initial country pool to be further refined based on corporate experience, operational capabilities, medical input, and other feasibility considerations Identify the incidence and prevalence of the disease / syndrome Analyze competing clinical trial landscape in order to assess study feasibility and identify barriers for enrollment. Access open source and proprietary databases to determine similar patient populations and or therapeutic classes of drugs under investigation. Determine whether the countries proposed have comparator drug access/reimbursement. As appropriate, prepare tabular displays of this information for evaluation by the feasibility stakeholder pool. Represent Allucent’s global or regional expertise by presenting our study footprint in the indication, which may include compiling corporate experience, and expertise in specific indication when needed. Present and explain feasibility analysis to BD/Clients (e.g. during bid defense meetings), including the process, recommendations and rationale. Maintain internal libraries and databases related to feasibility Assure the Feasibility function interfaces effectively with the ACEs and Business Development teams within Allucent Maintain current knowledge of guidelines and technologies appropriate for functioning in this capacity. Requirements Bachelor's Degree in a life sciences field is required. Masters Degree or Ph.D. in Healthcare or Biological Science is preferred. Minimum of 5 years of experience in drug development and/or clinical research; or equivalent combination of education, training, and experience. Demonstrable experience with analytics involving large datasets. Previous experience in pre-award feasibility may be a plus. Some travel for BD meetings attendance (15-20%) may be required. Skills Strong written and verbal communication skills including good command of English language Representative, outgoing and client focused Demonstrated knowledge of government/international databases, open-source databases or more proprietary databases (e.g., PubMed/Medline, ClinicalTrials.gov, Citeline) Ability to interpret data sources and translate information in clear and usable recommendations Demonstrated ability to form strong working relationships with other groups within the organization essential to high-level performance in this position Ability to work in a fast-paced challenging environment of a growing company Administrative excellence Proficiency with various computer applications such as Word, Excel, and PowerPoint required You are curious, like using systems, science-centric, and wish to consider a career change ? You have a strategic mindset and you are great at managing your time ? This opportunity may be the perfect fit for you. The successful candidate will receive the necessary trainings to grow in this role. Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Canada; United States Role overview: We are seeking a System Engineer to perform design, integration, verification, and operational support of TT&C/PDT subsystems for current and next-generation remote sensing and communications satellites. The role will interface with spacecraft payload teams, ground-segment developers, and mission-operations teams to ensure reliable command delivery, high-fidelity telemetry acquisition, and robust data handling throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Define TT&C/PDT functional architecture (command generation, uplink, telemetry downlink, on‑board data handling, RF front‑end). • Conduct trade‑studies for modulation schemes, coding, frequency plans, ranging and link budgets. • Produce System Requirements, Interface Control (ICDs), and Description documents. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. • Collaborate with cyber-security to embed resilience and security by design. Design & Development • Lead detailed design of hardware (TT&C transceiver, RF front‑ends, antenna‑pointing) and software (command sequencer, telemetry parser, health‑monitoring). • Perform link‑budget analysis, RF simulation (e.g., STK, Matlab), and error‑budget budgeting. • Verify compliance with CCSDS, ECSS, ITU, and regulatory standards. • Support Satellite Reference Database development and validation Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs and interface agreements with internal & external suppliers. • Support B&P (Phase 0 & pre-Phase A). Integration & Verification (IVV) • Develop test plans, procedures, and verification matrices for unit, subsystem, and spacecraft‑level TT&C tests. • Execute RF link testing, BER, command latency, and telemetry integrity verification. • Manage anomaly investigation, root‑cause analysis, and corrective actions. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support launch‑pre‑launch and early‑orbit checkout – validate command uplink, telemetry acquisition, and on‑board software hand‑over. • Provide real‑time C&T support during nominal and contingency operations. • Maintain ground‑segment configuration (gateways, mission control servers, monitoring dashboards). • Support SOOH development and associated operator trainings. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of TT&C/PDT System design experience on LEO/MEO/GEO platforms. • Strong knowledge of CCSDS TM/TC packet standards, ECSS telemetry & command protocols, PUS services and ITU frequency regulations. • Proficiency in RF link-budget analysis, S-band/X-band/Ka-band modem architecture. • Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Boston, MA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE (Onsite in Boston) We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.   WHAT YOU WILL DO - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability   WHAT YOU WILL BRING - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field   Annual salary range: $170,000-$235,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit enables people to build software with AI. The infrastructure underneath that experience must make it straightforward to launch services, isolate workloads, and run reliable systems at scale. We're hiring a hands-on Engineering Manager to lead Cloud Infrastructure: the shared infrastructure as code (IaC), networking, storage, compute, and service mesh platforms that Replit's product and platform teams depend on. You'll lead and grow an existing engineering team building and operating these foundations, including Kubernetes, shared edge networking, service mesh and workload identity. This is a platform-building role with production accountability. You should be comfortable going deep on a design or incident while developing a team that does not depend on you for every decision. WHAT YOU'LL DO - Own the cloud-platform roadmap. Lead the team's IaC, networking, storage, compute, and service mesh platforms. Translate product, platform, reliability, and security needs into sequenced outcomes, balancing foundational investment, lifecycle work, and delivery commitments against the team's capacity. - Make infrastructure repeatable and self-service. Build maintained IaC interfaces for services, cells, connectivity, identities, and shared resources. Enable internal customer teams to provision infrastructure without bespoke coordination or dependence on individual experts. - Operate what the team builds. Own platform availability, upgrades, isolation, recovery, and incident remediation. Maintain clear SLOs, sustainable on-call coverage, and primary and backup owners for critical systems. - Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including Replit—to prototype and automate. Apply rigorous review and verification to AI-generated infrastructure changes. - Build and grow a high-ownership engineering team. Coach engineers, develop technical leaders, set clear expectations, manage performance, and hire against agreed needs. Delegate meaningful ownership as the team grows. WHAT YOU'LL BRING - Demonstrated engineering management. You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team—not only acted as its strongest individual contributor. - Software-oriented infrastructure depth. You have built and operated cloud platforms or distributed systems and can reason across infrastructure code, Kubernetes, networking, service identity, and stateful dependencies. - Safe-change and production judgment. You have owned consequential migrations and incidents, can explain failure modes and rollback limits, and know when simplifying a system is better than adding another platform. - Platform-product and engineering judgment. You understand internal customers, create interfaces other teams adopt, and make clear tradeoffs among reliability, developer autonomy, engineering effort, and workload efficiency. NICE TO HAVE - Experience with multi-tenant, cellular, regional, or dedicated enterprise infrastructure. - Familiarity with GCP/GKE, Terraform or similar IaC systems, Cloudflare, Envoy/Istio, SPIFFE/SPIRE, and managed data services. - Experience with large-fleet rightsizing, infrastructure consolidation, or migrating CI compute without disrupting developer workflows. - A track record using AI tools to increase engineering output while preserving production safeguards. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Office, EU We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as a Head of Data Platform. Requirements : Education & Experience: — MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher — 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify — Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error Core Technical Skills — data platform: — Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production — Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset — Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact — Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting — Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on Core Technical Skills — analytics & applied math: — Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles — Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query — BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself — ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate Market & Domain Knowledge: — Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime — Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms — Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships — Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders — Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks — Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data Mindset & Soft Skills: — Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead — Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders — Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates Responsibilities — Platform: — Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset — Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs — Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace — Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation — Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards — Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships — Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable Responsibilities : — Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity — Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap — After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .