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Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer. You'll own the technical strategy across four interconnected pillars: Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools. CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering. As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through. Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use. You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope. You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities. RESPONSIBILITIES Technical Leadership & Architecture - Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools - Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) - Establish architectural patterns, technical standards, and best practices across the developer tooling stack - Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services - Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks - Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities Systems Design & Implementation - Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction - Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns - Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management - Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) Strategic Impact & Innovation - Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy - Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does - Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction - Lead cross-functional technical discussions influencing company-wide developer tooling architecture - Define technical approach for productizing successful internal developer tools into customer-facing offerings Leadership & Mentorship - Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration - Lead design reviews and technical decision-making across all developer tooling work - Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team - Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization - Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS REQUIRED: - 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale - Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns - Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling - Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster - Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development - Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals - Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs - Strong communication skills with ability to influence technical and non-technical stakeholders - Track record of technical mentorship and elevating engineering teams' capabilities - Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable with autonomous work in distributed, remote-first teams across multiple time zones PREFERRED: - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in DevOps, SRE, or platform engineering domains - Contributions to open source developer tooling, platform engineering, or observability projects - Experience productizing internal platforms into commercial offerings - Deep knowledge of security, compliance, and operational best practices for production systems - Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure) - Track record driving org-wide adoption of developer tooling and engineering standards WHAT TO EXPECT FIRST 30 DAYS - Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap - Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform - Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars - Review existing tools in production and understand what's working, what isn't, and the technical lessons learned - Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars FIRST 90 DAYS - Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model - Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work - Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management - Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure - Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact - Create architectural decision records and best practices guides for teams building on the platform FIRST YEAR OUTLOOK - Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value - Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction - Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times - Lead technical strategy for productizing successful internal tools into customer-facing offerings - Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing - Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $198K – $319K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Seattle, WA; San Francisco Bay Area Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence. If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you. RESPONSIBILITIES - Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform - Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management - Develop high-performance APIs and control plane components for managing multi-tenant workloads - Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure - Collaborate with product, platform, and security teams to deliver customer-focused capabilities - Participate in architectural discussions, code reviews, and design documents - Contribute to automation and CI/CD improvements across the deployment pipeline - Debug and resolve production issues across distributed systems in cloud environments - Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability QUALIFICATIONS REQUIRED: - 10+ years of backend software engineering experience building large-scale cloud or distributed systems - Strong proficiency in Go and/or Java - Deep understanding of container orchestration, Kubernetes, and microservices architecture - Experience designing and operating highly available, secure, and observable production systems - Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns - Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling - Excellent problem-solving and debugging skills in distributed environments - Strong communication skills and ability to collaborate across remote, cross-functional teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED: - Experience contributing to cloud-scale compute platforms or container infrastructure products - Knowledge of service mesh, networking, or policy enforcement systems - Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.) - Familiarity with security best practices for multi-tenant cloud systems - Prior experience in developer infrastructure, cloud platforms, or hyperscale environments Docker considers sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Задачи: — Определять и владеть долгосрочной стратегией QA для студии. — Руководить, поддерживать и развивать существующую команду опытных QA специалистов. — Устанавливать масштабируемые процессы QA для поддержки нескольких команд и проектов. — Управлять отношениями с внешними поставщиками QA и аутсорсинговыми партнерами. — Сотрудничать с продакшеном, инженерией и DevOps для выявления рисков качества и согласования приоритетов автоматизации. — Контролировать готовность релизов для Early Access, запуска и будущих проектов. Требования: — Опыт работы в QA игр или инженерии качества ПО не менее 8 лет. — Опыт руководства QA-командой не менее 3 лет, включая руководство командами через хотя бы один релиз. — Подтвержденный опыт наставничества старших QA инженеров и масштабирования QA организаций. — Глубокое понимание стратегии QA на протяжении всего жизненного цикла разработки. — Опыт управления внешними поставщиками QA и аутсорсинговыми партнерами. — Способность балансировать стратегическое планирование с практическим участием. Плюсом будет: — Опыт работы с Unreal Engine. — Опыт поддержки игр на этапах Early Access или полного запуска. — Опыт работы в средах разработки для ПК и/или консолей. — Опыт тестирования инструментов для игроков или технологий для создателей контента. Условия: — Конкурентная зарплата с дополнительными пенсионными взносами и долей в доходах. — Щедрая политика отпусков: 30 дней ежегодного отпуска. — Гибкий график работы с акцентом на баланс работы и личной жизни. — Плоская иерархия и культура, поощряющая эксперименты и развитие. — Доступ к передовым технологиям и команде ветеранов индустрии.

Location: Remote - US East About the Job: We are looking for a talented Senior. Solutions Engineer at LaunchDarkly,  you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role. Experience in areas such as the SDLC, cloud architecture, or DevOps. Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure  & Google Cloud). Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions. Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry. Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus Specific Requirements: 50% travel required Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 214,000 - $295,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 193,000 - $265,000 ** Zone 3: All other US locations - $ 182,600 - $251,020* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote, United Kingdom, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based out of United Kingdom. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For Native/Professional Proficiency in German 5+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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: Remote, Ireland, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based out of Ireland. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For Native/Professional Proficiency in German 5+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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 the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings. This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!). We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud. Develop, maintain, and test code. Conduct design and code reviews. Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability. Participate periodically in on-call rotation. Make Fivetran the most reliable and secure component of our customers’ data infrastructure. Skills We’re Looking For Bachelor's degree, preferably in Software Engineering or Computer Science. 3+ years of experience in the software industry with a passion for solving complex software engineering problems. Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices. Demonstrated ability to write well-structured and performant code. Ability to lead software and infrastructure design to satisfy project requirements. Experience in code reviews, design, troubleshooting and testing. Experience programming in an object oriented / systems language such as Java, C++, C# etc. Experience interacting with continuous integration tools like Buidkite. Knowledge of observability tools like New Relic/Grafana is a plus. Knowledge of Data Engineering is a plus. Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation. Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts. Bonus Skills​ Hands-on experience working with any cloud technologies (AWS, GCP, Azure) and containerization methodologies like Docker, K8s. Experience in data processing (ETL, ELT) and/or cloud-based platforms. #LI-HYBRID #LI-DC2 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 $140,592 — $168,717.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably. WHAT YOU'LL DO - Improve speed and reliability of early change feedback - Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows. - Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible. - Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use. - Design and build tools to support concurrent agent execution - Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt. - Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct. - Simplify and establish repeatable patterns - Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down. - Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action. - Build and participate in an on-call rotation as the team takes ownership of critical systems. WHAT WE'RE LOOKING FOR - Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day. - Experience driving cultural and process changes to make engineering teams more effective. - Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems. - Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language). - Hands-on experience with Kubernetes or similar container orchestration. - Familiarity with infrastructure-as-code tools (yup, Terraform). - A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster. - You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you. NICE-TO-HAVES - Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends. - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty. - Security-minded instincts, especially around supply chain and the path from commit to deploy. - Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

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 from Canada time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: 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 an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach here . What You’ll Be Doing: Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. 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 AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems 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 peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. 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 or working with agent frameworks or multi‑agent workflows. Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments. Familiarity with model fine-tuning techniques. Experience building observability tooling. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 186,368 - CAD 230,000. 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. 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 from USA time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: 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 an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach here . What You’ll Be Doing: Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. 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 AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems 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 peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. 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 or working with agent frameworks or multi‑agent workflows. Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments. Familiarity with model fine-tuning techniques. Experience building observability tooling. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 174,986 - USD 220,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . 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: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The Field Productivity & Enablement Lead is responsible for making our sales motion clear, practical, and repeatable. This person will help define how we sell at Baseten: how managers run the business, how reps qualify and advance deals, how sales works with FDE, product, marketing, and support, and how those expectations get turned into training and day-to-day habits. This is a senior individual contributor role for someone who excels at both strategy and execution. You'll shape the system, but you won't stop at slides or frameworks. You'll build the playbooks, run the training, coach to the behaviors, and help managers ensure the process is followed consistently. We're not looking for someone who wants to force-fit a single methodology onto the business. We're looking for someone who is fluent in MEDDIC/MEDDPICC, Command of the Message, Challenger, and similar approaches, and can take the best ideas from each, adapt them to a technical sales motion, and build an approach that fits how Baseten actually sells. You'll report to the Head of Enablement and Productivity. Frontline managers and reps are your primary customers. RESPONSIBILITIES - Manage operating model. Define the core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Create clear expectations for how managers inspect deals, coach reps, and drive consistency across the team. - Sales process and stage design. Partner with sales leadership and RevOps to define stages, exit criteria, qualification standards, and pipeline mechanics. Help turn the sales process into something managers and reps can actually use, and make sure CRM and tooling reinforce the process instead of creating workarounds. - Cross-functional engagement. Clarify how sales engages FDE, solutions architects, product, marketing, and customer support. Define the handoffs, decision points, and joint working models that help teams support customers without confusion or duplicated effort. - Methodology, skills, and training. Help codify the sales methodology and build the training behind it. Deliver enablement sessions, coach managers and reps, and raise the quality of qualification, deal progression, and account planning over time. - Behavior change and adoption. Make the work stick. Measure whether the process is being used, where managers or reps are getting stuck, and what needs to change to improve ramp time, pipeline quality, forecast accuracy, and win rates. REQUIREMENTS You know what good sales execution looks like and can translate that into a system other people can follow. You can move from diagnosing a broken forecast call, to redesigning a stage framework, to standing in front of a room and teaching managers how to run a better pipeline review. You bring credibility with sales leaders, managers, and reps because you've seen how strong sales teams operate and you know how to make process useful instead of bureaucratic. You are structured, practical, and comfortable driving change across functions. Strong candidates may come from a mix of backgrounds such as: - A former AE or sales leader who has carried a quota, managed teams, and later moved into enablement, strategy, or operations. - A sales enablement or sales effectiveness leader with strong experience in methodology, manager training, and curriculum design. - A RevOps or sales strategy professional with deep process rigor and a strong point of view on pipeline, qualification, and inspection. - A management consulting or sales transformation background with experience building operating models and driving adoption in fast-growing teams. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of. This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role. WHAT YOU’LL DO - Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them - Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows: fast, dense, interactive, and trustworthy - Own complex client-side state and rendering challenges across data-heavy, real-time, agent-driven surfaces - Partner on API and backend design so the full stack serves the product, not the other way around - Use the latest coding models and agentic workflows as a core part of how you ship every day WHAT YOU NEED - Deep frontend expertise: TypeScript, React, and sophisticated state management in complex, data-intensive applications - Fluency with the latest AI coding models and agentic development workflows. This is how the team works, and we expect you to be excellent at it - Comfort working across the stack, including API design and backend systems, even with frontend as your center of gravity - A track record of shipping polished, production-grade product experiences and owning them through ambiguity - Bonus: experience with BI tools, data visualization, or financial/analytics products BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Hyderabad, India Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Build AI-powered developer experience that makes engineers enabled. You’ll join our Developer Experience team, united by the mission of “Engineers can do their work quickly, easily, comfortably, and safely.” You’ll be part of a team spanning the US and India that turns ambiguous goals into shippable projects that meaningfully improve developer throughput and reliability. Your team owns AI experiences, remote and local dev environments, builds and CI, deploys, testing, and verification. You’ll work on a relatively broad scope within a well-resourced team. This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - You build an AI harness to auto-resolve bugs reported for the Notion app. This is high-leverage work for the engineering org and requires solid engineering to improve resolution accuracy. - You improve CI and build reliability so engineers get early feedback when changes break CI. We’re committed to a 5-minute CI time and are already on track. - You improve developer features for our in-house, AI-first remote development environments - helping shape the future of software engineering. - You execute a shared roadmap with our US engineering team to increase developer satisfaction and enablement, informed by our DevEx survey. - You collaborate with engineers across the company to deliver an industry-leading developer experience, working deeply with tools like the TypeScript language server, lint tooling, and the Notion CLI to improve developers’ day-to-day experience. SKILLS YOU'LL NEED TO BRING - Over 10 years of experience with strong software engineering fundamentals and a track record of turning ambiguous goals into well-scoped, shippable milestones. - Leadership: Can create technical roadmap and has a strong ability to plan and execute very large projects. Motivate the team for the goal. - Enjoys learning new technologies and has demonstrated innovation through past work. - Thrive in ambiguity and can solve business problems through technology. - Ownership: Demonstrates strong ownership and accountability for the success of the project and the team. - Collaboration: Demonstrates strong communication and collaboration skills. Able to partner with cross-functional teams and engineering teams across time zones. - Experience building or operating developer tooling (CI/CD, infrastructure workflows, internal platforms) with a focus on reliability, observability, and developer trust. - Comfortable with creating with AI agents and hardening them: defining guardrails, adding evaluation/testing, and iterating based on real workflow feedback. - Comfortable with creating with agentic workflows: pros-cons of code based orchestration; cost analysis; scalability issues; very long running workflows; verification/ralph loops. - Systems-level debugging and performance thinking; you can identify bottlenecks, choose pragmatic fixes, and avoid accidental complexity. - Ability to multiply the team: clear written communication, high-quality reviews, and coaching/mentoring that helps others ship faster and better. - Some knowledge about building AI harness would be additive - tool building; context harness. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA or Remote, US Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You’ll Do Conduct in-depth analysis to shape product PLG motion and B2B strategy. Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights. Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently. Improve execution rigor of product teams by owning success metrics and opportunity sizing. Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios. Evolve experimentation culture and practices within the company. What You Bring 5–8 years of experience in a Data Scientist or similar role. 3+ years working in a growth function. Strong business and product intuition to identify opportunities in the growth ecosystem. Strong knowledge of statistical analysis and A/B tests. Strong SQL skills and proficient in at least one programming language such as Python or R. Excellent communication and collaboration skills. Curiosity, savviness to navigate in a dynamic environment, and a growth mindset. Having worked at a fast-growing start-up is a plus. The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

About the team The Technical Success team ensures safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises, acting as trusted advisors to maximize value from models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex, working across product, engineering, partnerships, safety, legal, policy, and go-to-market to create useful, trustworthy, and technically sound integrations. About the role The Applied Deployment Engineer will build and deepen ChatGPT integrations with third-party messaging platforms, focusing initially on partner work and future opportunities with other messaging apps globally. This hands-on, partner-facing engineering role involves working closely with external product and engineering teams to improve integrations, expand capabilities like image generation, increase retention, and translate partner needs into OpenAI’s product and engineering roadmap. The role requires daily coding, making changes across platform or monorepo surfaces, and balancing technical discovery, product tradeoffs, prototyping, debugging, and executive communication. It suits a product-minded engineer with excellent communication skills, sound technical judgment, and ability to work across cultures, time zones, and organizations. The role is based in the San Francisco office with a hybrid work model (3 days in office per week) and relocation assistance. Responsibilities — Partner with messenger app product and engineering teams to design ChatGPT-powered experiences fitting chat, group, contact, and app-tab surfaces. — Deepen existing partner integrations focusing on user experience, retention, reliability, and features. — Build prototypes, integration guides, reference flows, and launch checklists to help partners move from concept to production. — Debug API, latency, authentication, quota, quality, and user-experience issues across partner and OpenAI systems. — Translate privacy, trust, login, and data-handling requirements into clear technical constraints and implementation plans. — Collaborate with product, engineering, design, partnerships, legal, policy, and support teams to ensure reliable, scalable, and maintainable partner launches. — Capture repeatable patterns from messenger integrations and create reusable playbooks for future partners. — Travel periodically to meet international partners during key integration, launch, and post-launch milestones. Requirements — Strong software engineering background with daily coding enjoyment. — Experience building or deploying API integrations with external partners, understanding client, backend, auth, privacy, reliability, and UX constraints. — Strong product sense and design judgment for consumer-facing experiences. — Ability to concretize ambiguous product ideas without over-specifying partner internals. — Clear communication with engineers, product leaders, executives, and business stakeholders. — Comfortable debugging distributed systems and narrowing performance or reliability issues into actionable hypotheses. — Deep care about user trust, privacy, and product quality, especially in sensitive communication contexts. — Ability to balance urgency with judgment and maintain launch momentum without skipping important details. Preferred qualifications — Experience with B2C consumer, social, or messaging products. — Experience working with international partners or in cross-cultural product and engineering environments. — Familiarity with OAuth/login flows, API rate limits, webviews, mobile release cycles, and partner launch operations. — Experience with AI product launches, developer platforms, or API-first products. — Prior customer-facing or partner-facing engineering experience, especially in startups or smaller companies. — Ability to collaborate across APAC time zones and travel internationally quarterly, sometimes for up to two weeks around major launch milestones. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring general-purpose AI benefits all humanity, pushing AI capabilities boundaries and safely deploying them through products. The company values diverse perspectives and is an equal opportunity employer, complying with applicable laws and policies regarding background checks and fair chance employment.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a seasoned Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and collaborate cross-functionally with product, design, and backend teams to launch impactful features that help users deploy and manage AI systems at scale. EXAMPLE INITIATIVES - Rolling Deployments https://www.baseten.co/blog/rolling-deployments-zero-downtime-model-updates/ - Model APIs for frontier models https://www.baseten.co/products/model-apis/ - Model training built for production inference https://www.baseten.co/products/training/ RESPONSIBILITIES - Design, implement, and maintain responsive, accessible, and user-friendly frontend interfaces using React and TypeScript - Collaborate closely with product designers to turn complex ideas into elegant, intuitive UIs - Optimize application performance and reliability, with a focus on rendering speed and responsiveness - Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows - Establish best practices, and mentor other engineers on frontend technologies - Build reusable component libraries and frontend infrastructure that accelerate product development - Partner with backend and platform teams to define and refine APIs and end-to-end flows REQUIREMENTS - 5+ years of experience building production-grade web applications - Deep expertise in React, TypeScript, and modern web development tooling - Track record of building well-crafted, performant, and scalable UIs - Strong product intuition and empathy for the user experience - Experience working in cross-functional product teams in a fast-paced environment - Excellent communication and collaboration skills NICE TO HAVE - Familiarity with Tailwind CSS, Next.js, or other modern frontend frameworks - Background in developer tools or data/ML infrastructure products - Experience with WebSockets, real-time data, or custom visualization tooling - Contributions to open-source projects or public engineering work BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: London, UK Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The 1Password Sales Engineering team is a valuable resource to our customers and fellow Go-to-Market team members. Our Sales Engineers are well known and respected as experts on the product, trusted advisors to our sales teams and customers, and a sought-after resource for various types of customer calls. The team collaborates with Product, Marketing, Enablement, and Support to create resources, provide training opportunities, and elevate the overall understanding of 1Password. We are a kind, curious, approachable, and customer-focused team on a mission to drive the vision of 1Password forward. As a Sales Engineer for the SMB segment, you will be a trusted technical advisor, driving revenue growth, improving win rates, and accelerating deal velocity through strategic technical guidance. Partnering closely with Account Executives, you will demonstrate and position Enterprise Password Management (EPM), 1Password Privileged access, Software as a service (SaaS) Manager and device trust as an integrated solution that helps reduce risk across users, applications and devices. You will navigate high-volume, fast-paced SMB sales cycles, uncovering opportunities to position the full product suite and applying frameworks like MEDDPICC to qualify opportunities, address requirements, and influence decision-makers. You will also support customers with compliance needs by responding to security questionnaires, RFPs/RFIs, and vendor registration requirements. You will bring credibility with both security and technical buyers, including those evaluating or transitioning from developer-centric secrets management tools. As 1Password's portfolio evolves toward Unified Access, your ability to bridge human identity (EPM), application access (SaaS Manager), and endpoint trust (Device Trust) with the emerging machine identity and secrets automation narrative will be a differentiator in every deal. As a subject matter expert across all 1Password products, you will collaborate with Sales Enablement, Product, Marketing, and Customer Experience to create resources, enablement materials, and customer-facing content that drive adoption, improve close rates, and deliver measurable business impact. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Expectations of this role This is a hybrid role. You will be expected to work from 1Password's London office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs.   Note: All go-to-market roles will have an in-person onboarding in Toronto. What we're looking for: - At least 4 years of experience in a technical customer-facing role (B2B SaaS, preferably in the SMB segment or similar). - Ability to communicate in French fluently - Ability to communicate technical information clearly and confidently to a wide range of audiences, including non-technical stakeholders. - Strong presentation, communication, and storytelling skills, making complex information sound simple and relevant. - Detail-oriented with a strong sense of ownership and commitment to quality, even in high-volume environments. - Enthusiasm for learning, testing, and problem-solving. You are curious and dig in when a customer has a challenge. - Strong time-management skills with the ability to effectively prioritize competing tasks and meet deadlines in a fast-paced, transactional sales environment. - Proven ability to work independently and collaboratively in a fast-paced, remote-first team. - Open to learning and able to adapt quickly, working across multiple products and shifting priorities with a flexible and proactive mindset. - Experience in or strong familiarity with the security and identity space, including credential management, privileged access, or secrets management. Prior exposure to tools such as HashiCorp Vault, CyberArk, BeyondTrust, Delinea, or similar PAM and secrets platforms is a significant advantage. - Familiarity with relevant compliance frameworks (e.g., SOC 2, ISO 27001, GDPR) is strongly preferred. - Comfortable navigating developer-centric conversations, including how teams manage secrets in CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI), container environments (Docker, Kubernetes), and cloud infrastructure (AWS, GCP, Azure). You don't need to write the code, but you should understand the workflow and the risks. - Familiarity with DevSecOps principles and how engineering teams embed security into their development lifecycle. Able to engage confidently with DevOps leads, platform engineers, and CISOs on the risks of secrets sprawl, hardcoded credentials, and over-privileged service accounts. - Working knowledge of identity concepts including SSO, SCIM provisioning, and OAuth/OIDC, and how SaaS application access is managed across growing teams. Familiarity with MDM or endpoint management tools (e.g., Jamf, Intune, CrowdStrike) is a bonus. - Awareness of the growing challenge of non-human identity: service accounts, API tokens, bot credentials, and the security risks they introduce as teams scale AI and automation workflows. Ability to position this as a near-term customer pain, even in SMB accounts. - Working knowledge of modern sales qualification frameworks (e.g., MEDDPICC) is preferred. Training and enablement will be provided as part of ongoing development. - A growth mindset and a genuine curiosity about the evolving identity and security landscape. - Bonus: hands-on experience integrating 1Password or a secrets manager with a developer workflow, CI/CD tool, or automation platform (e.g., GitHub Actions, Zapier, n8n, Make, or similar). What you can expect: - Serve as the primary technical advisor for SMB sales opportunities within the Go-to-Market team. - Partner with Account Executives to deliver scalable, impactful technical support throughout the sales cycle. - Confidently position and demo all three core products, EPM, SaaS Manager, and Device Trust, as an integrated solution, articulating how they work together to reduce risk across users, apps, and devices. Connect these to the broader Unified Access vision for forward-looking customers. - Support fast-paced, high-volume sales cycles with concise, effective technical guidance. - Recommend and position tailored product solutions that align with SMB customer needs, goals, and common use cases. - Run technical discovery with a range of stakeholders, from IT admins and security leads to developers and DevOps engineers, uncovering use cases around privileged access, SaaS shadow IT, unmanaged endpoints, and secrets for automation and AI workflows. - Handle competitive situations involving PAM vendors (e.g., CyberArk, BeyondTrust), secrets management tools (e.g., HashiCorp Vault, AWS Secrets Manager), and SaaS security platforms. Articulate 1Password's differentiated value for SMB teams who need enterprise-grade capabilities without enterprise-grade complexity. - Partner with SMB reps to build their confidence in discussing product capabilities and navigating technical conversations. - Proactively identify potential technical risks in deals and collaborate with Product and Support teams to resolve them. - Uncover and qualify AI-related use cases during discovery, including how customers are managing secrets for developer tooling, automation workflows, and emerging AI agent infrastructure. - Support proof-of-concept engagements that validate Secrets Automation use cases, including scenarios where customers are securing credentials for AI pipelines, developer environments, or cloud-native workloads. - Collaborate with Sales Enablement and Product Marketing to create and improve internal resources such as objection handling guides, demo frameworks, and playbooks. - Deliver product education to customers focusing on accessibility for non-technical or resource-constrained teams. - Respond to vendor/risk assessments, RFPs/RFIs, security questionnaires, and other technical documentation requests as needed. - Represent the team at select industry events and company/team offsites. Some travel may be required. UK-based roles only: The annual base salary for this role is between £65,000 GBP and £91,000 GBP, and is commission-eligible. This role is also immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.