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Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our London office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £210,000 — £250,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our San Francisco office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Software Engineer, Network Automation - WAN & Edge, you will design, automate, and operate resilient connectivity between data centers, cloud environments, external networks, and the internet. Your work will span routing, firewalls, traffic engineering, and production troubleshooting. This is a hands-on role for an experienced network engineer who can build, test, debug, and review production-grade automation. Networking depth and strong software-engineering judgment matter more than familiarity with any particular language, platform, or tool.   WHAT YOU WILL DO - Design and evolve resilient inter-site, cloud, and internet connectivity for large-scale AI infrastructure. - Own external BGP policy and traffic engineering at the edge, including route filtering, failover, and capacity planning. - Build API-driven automation for edge routing, firewalls, VPNs, carrier connectivity, and network segmentation. - Coordinate with carriers, cloud connectivity providers, colocation partners, and vendors on design, provisioning, incident escalation, and service improvement. - Design safe change workflows with automated validation and resilience testing, staged rollouts, observability, rollback, and recovery. - Participate in on-call rotation, troubleshoot active WAN and edge incidents, restore service, and turn root causes into lasting improvements. - Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization.   WHAT WE’RE LOOKING FOR - Deep, hands-on WAN and edge networking experience across internet connectivity, data-center interconnect, private WAN, or cloud networking. - A track record of taking external BGP designs from whiteboard to production and debugging them during production incidents. - Experience integrating and troubleshooting stateful firewalls, NAT, asymmetric routing, and redundant edge designs on at least one major routing or firewall platform. - Experience building or operating production network automation using network-management APIs and data models. You understand desired state and idempotency; relevant technologies might include REST, NETCONF, gNMI/OpenConfig, Ansible, or Terraform. - Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. - Operational troubleshooting experience using routing and flow state, packet captures, link health, telemetry, and logs to diagnose production incidents. - Clear, pragmatic communication and effective stakeholder management. You can translate technical needs into connectivity designs and provider requirements, define acceptance criteria and service-level expectations, and provide technical leadership.   NICE TO HAVE - Experience with FortiGate, FortiManager, or comparable edge and firewall platforms. - Deeper specialization in external connectivity, such as public-cloud or hybrid-cloud interconnect, or internet transit and peering. - Exposure to edge security and scale techniques such as RPKI and route-origin validation, DDoS mitigation, or global traffic engineering. - Familiarity with streaming telemetry, network source-of-truth systems, and configuration-compliance tooling. - Experience reading, reviewing, or contributing to Go code. - Familiarity with Kubernetes controllers, operators, or other declarative, reconciliation-based systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London, UK; 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. _______________________________________________________________________ The Docker Sandboxes team is building the runtime that lets AI coding agents run safely on a developer's machine: disposable, isolated microVM sandboxes that each get their own Docker daemon, filesystem, and network. This is the core of Docker's sbx product: developers can give an agent the autonomy it needs to get real work done without it ever touching the host, and tear the whole environment down when it's finished. The successful candidate is a technical, product-minded engineer with deep experience building secure, isolated runtime environments (sandboxes, containers, or VMs) and a track record of shipping and owning that kind of infrastructure in production at scale. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas. They can drive clarity and consensus on hard, ambiguous problems that cross team and component boundaries, raise the bar for engineering quality wherever they work, thrive in a remote-first environment, communicate clearly across time zones, work with our users, while bringing curiosity and craftsmanship to hard problems. Please note: this role is currently prioritizing candidates currently located in the Eastern time zone (US or Canada), or in the EU. RESPONSIBILITIES - Design, develop, and lead improvements to the sandboxes product across agent integration, tool permissions, and developer-facing workflows. - Investigate and resolve correctness, performance, and stability issues in the agent integration layer across macOS, Windows, and Linux. - Drive the reliability and performance of sandbox creation, session management, and teardown for AI agent workloads. - Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow. - Mentor engineers on the team and set the bar in design reviews and code reviews. - Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. - Participate in on-call rotations and respond to critical stability issues affecting users. - Document your work clearly and share knowledge with the rest of the team. QUALIFICATIONS - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers. - Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment. - Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users. - Experience driving architecture and technical strategy across multiple engineers or teams. - Strong written and verbal communication skills. - Comfortable working with a high degree of autonomy in a remote-first environment. WHAT TO EXPECT FIRST 30 DAYS - Build an understanding of our codebase. - Meet the people on your team and those adjacent to it. - Build an understanding of the products we are shipping and our near-term technical priorities. - Deliver small fixes or improvements. FIRST 90 DAYS - Lead the design and development of a significant improvement or feature of the local sandboxes stack. - Engage with our open source project and the relevant upstream communities. - Shape the team's technical direction, and drive architecture discussions. ONE YEAR OUTLOOK (FIRST YEAR) - Deliver measurable improvements to the correctness and performance of sandboxes. - Become a recognized technical owner of key parts of the codebase and a go-to technical leader for the local runtime. - Help us define the longer-term technical strategy for the filesystem layer in a way that fits with Product and Business goals, and rally the team behind it. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $160,900 – $260,700 + 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: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of Voodoo's gaming and consumer apps, keeping us at the forefront of the mobile industry. The team plays a key role in Voodoo's long-term strategy: it accelerates product diversification and provides a state-of-the-art growth engine to distribute and scale our games. We create solutions that drive growth with a pragmatic approach, ranging from simple search to complex machine learning systems. Within Engineering & Data, the Central Data & Analytics team makes data a reliable guide for the whole company. Data engineers, analytics engineers, data analysts and a product data PM work side by side to build and grow the foundations behind every critical business and product decision at Voodoo. This position is hybrid and requires 3 days/week in our Paris office. ROLE We’re looking for a Senior Data Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide array of topics such as: - Build and operate robust data pipelines that keep pace with ever-evolving business needs, ensuring the architecture supports them cleanly. - Contribute to the codebase, ship and maintain your changes in production, and champion strong coding and data engineering practices. - Use AI coding tools (Claude Code, Codex, and whatever comes next) as a core part of your daily workflow — to move faster on pipelines, migrations, tests and documentation — while staying fully accountable for what you merge. - Look for opportunities to put AI inside our data platform, not just around it: LLM-assisted data quality checks, semantic layers, natural-language access to datasets, agent-driven internal tooling. - Take ownership of projects from initial discussions to release: feature estimation and scoping, architecture design, benchmarking of new technologies, product feedback. - Work in a very agile environment with a fast decision process. - Collaborate directly with back-end engineers, data scientists, mobile game and consumer app teams, product and marketing. PROFILE - Extensive experience as a Data Engineer or in a similar role. - A proven track record of building and optimizing data pipelines for massive volumes of data (at scale). - Strong experience with scalability, reliability, and security topics. - Hands-on experience coding with AI assistants and agentic tools — you know how to give them the right context, break work down for them, and review their output critically rather than trusting it blindly. - Genuine curiosity about modern tooling and practices: you follow how the data and AI ecosystem is evolving, try new tools on real problems, and form your own opinion instead of following hype. You can explain why you adopted something — or why you dropped it. - Strong analytical skills and comfort working with unstructured datasets. - Experience with Amazon Web Services. - Result-oriented and focused on the value your work creates. - Curious about business needs and keen to build innovative, pragmatic solutions that grow the business through data. - Excellent communication skills (you can speak and write English). - Experience with LLM-based systems (RAG, evals, prompt and context engineering) is a strong plus. - Experience in gaming, advertising, or another fast-growing company is a plus. - Familiarity with Voodoo's ecosystem: gaming, apps, advertising, analytics. OUR STACK - Amazon Web Services; Python; Spark; Scala; Terraform; SQL (Athena, StarRocks); DBT;; Airflow; Kubernetes; AI-assisted development tooling (Claude Code, MCP-based internal tools) BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. T ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $186,701 — $233,376 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: Germany; Neu-Isenburg We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Key Account Manager m/w/d – Commercial Sales Reporting to: Commercial Manager Based in: Neu-Isenburg, Germany with Hybrid working; 3 days Tuesday to Thursday in the office required. Please check your commute before applying. Travel: Required to key retailers. At Hasbro, we create moments of joy, imagination and connection for fans and families around the world. We’re looking for a driven and commercially curious Key Account Manager to join our Neu-Isenburg team and help bring some of the world’s most loved brands to life at retail. In this full-time role, you’ll take ownership of a portfolio of key retail partners, blending strategic account planning, hands-on customer collaboration and sharp market insight. It’s a brilliant opportunity for someone who thrives in a fast-paced, team-focused environment and wants to play a key role in shaping how Hasbro brands show up, stand out and win with consumers across the GSA market. Main Purpose Partner with the GSA (Germany, Switzerland, Austria) Sales team and cross-functional regional departments (e.g. Customer Service, Operations, Demand Planning, Customer Marketing) to put into action approved retail sales strategies, reinforcing the market position of Hasbro brands. Maintain and develop the business with key retail accounts and distributors to improve HET/HIT sales and profit targets. What You'll Do Build, implement and monitor full-year account business plans for HET/HIT, using sell-out analysis, forecasting and phasing to keep plans on track. Achieve profitability goals for HET/HIT in the market, applying profitability models to support decision-making. Embrace and complete the regional brand, channel and commercial strategy. Build effective, trusted business partnerships with key customers at all levels. Collaborate closely with relevant partners on the customer side to ensure smooth daily operations in ordering, delivery, marketing activities, and data maintenance. Maintain positive relationships with our licensors to plan and complete joint retail activations. Manage customer information flow on sales, stocks and payments, and drive execution of new product launches, listings and promotional campaigns. Own the Customer Business Plan from start to finish. Develop it for approval and track its financial impact, including sales objectives, customer allowances, and investment budget. Maintain accurate, SOX-compliant records of all customer agreements. What You'll Be Measured On HET/HIT turnover (value and volume) and market share. Distribution / channel assortment / customer listing targets. Customer profitability. Customer plan and forecast accuracy. The ‘what’ and the ‘how’ of effective business interactions. What You'll Bring Proven experience in key account management, preferably in the toy, entertainment or FMCG industry. Strong skills in building and maintaining customer relationships. Ability to monitor and analyse market activities and trends. Experience developing and implementing business plans. Solid understanding of managing budgets and financial targets. Excellent communication and presentation skills. Ability to work collaboratively within a team to achieve common goals. Proficient in German and English. The base salary range for this position is €66,400 to €95,000 and is eligible for a bonus. The hiring range will vary based on factors such as experience and skills. We Play to Win with our Leadership Principles Knowing is Half the Battle Break the Mold Take Charge Be Legendary Friendship is Magic Matrix of Leadership Apply now and help us build the future of play! #LI-Hybrid Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Serbia Workplace: remote ABOUT YOU   We are looking for a Lead Environmental Artist who combines a strong artistic eye with solid technical expertise. This role is not only about creating visually impressive environments — we need someone who understands how to build high-quality, optimized, production-ready environments that perform efficiently in a real-time game engine. ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. RESPONSIBILITIES Lead the creation of high-quality environments from concept through final implementation. Establish and maintain the visual quality bar for environments while ensuring technical and performance requirements are met. Create optimized environment assets, including modular kits, architecture, terrain, props, materials, and set dressing. Work closely with Technical Artists, Level Designers, Lighting Artists, and Engineers to balance visual quality with performance. Define and maintain environment art pipelines, workflows, and technical standards. Identify and resolve performance issues related to geometry, materials, textures, lighting, draw calls, memory usage, LODs, and asset complexity. Review and provide feedback on the work of Environment Artists and support their professional development. Collaborate with Art Direction to translate the artistic vision into scalable and technically achievable environments. Participate in profiling and optimization throughout production rather than treating optimization as a final-stage task. REQUIREMENTS Strong professional experience as a Senior or Lead Environment Artist in game development. Excellent portfolio demonstrating visually compelling, production-ready environments. Strong understanding of real-time optimization and the ability to make informed trade-offs between visual fidelity and performance. Advanced knowledge of environment production pipelines, modular workflows, LODs, materials, shaders, texture optimization, and asset budgets. Strong proficiency with industry-standard 3D tools and experience working in Unreal Engine and/or Unity . Good understanding of lighting, composition, scale, color, and environmental storytelling. Ability to profile environments, identify technical bottlenecks, and collaborate with technical teams to resolve them. Leadership and mentoring experience, with the ability to provide clear and constructive artistic and technical feedback. Strong communication and cross-functional collaboration skills. Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitLab's highest-visibility product bets, collaborating with design partners toward a public beta. In your first year, you'll lead major features from an unclear problem through release, help shape scope with product and users, mentor other engineers, and influence technical decisions across agent workflows and evaluation methods. What you’ll do Lead backend features from early product discussions through technical design, implementation, rollout, and post-launch learning. Build the flows, application programming interfaces, and data models behind agent-generated work items, implementation plans, durable specifications, and mergeable code. Develop evaluation and benchmarking systems that measure workflow quality, token cost, and success rate. Use Ruby on Rails and Python to build reliable production systems, with PostgreSQL, GraphQL, representational state transfer, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. Collaborate directly with product, design, engineers, design partners, and users to shape scope and make practical trade-offs. Coordinate multi-person projects across the team and communicate decisions clearly in GitLab's asynchronous, all-remote environment. Mentor other engineers and contribute to technical direction across the Plan group and related artificial intelligence initiatives. Work in short iterations, share progress through demos, and use results and user feedback to guide what comes next. What you’ll bring Strong Ruby on Rails experience in a large production codebase and production experience with Python. Experience driving substantial projects with several engineers over multiple months, with clear user or business outcomes. A product mindset and experience owning features end to end, including shaping scope, making trade-offs, engaging with users, and learning from adoption after launch. A full stack background with a current focus on backend engineering, plus the ability to read modern frontend code and design effective APIs. Strong application programming interface design and structured query language fundamentals. Experience exploring artificial intelligence-assisted development. The ability to work independently, collaborate across functions and regions, and support others through technical leadership and mentoring. Experience with GraphQL, PostgreSQL performance at scale, or building and evaluating large language model or agent systems is helpful but not required. We welcome candidates with different backgrounds and transferable experience. If you're excited about the role but don't meet every qualification, we encourage you to apply. About the team We are a team of four engineers, with two backend and two frontend engineers across Canada and Europe. You'll work in an all-remote, async-first environment with weekly sync calls, retrospectives, demos, and short iterations. This is early-stage work with broad ownership, space for creativity, and a fast pace. For more about our team and its work, see Plan Team Handbook Page and Spec-Driven Development Initiative How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: London Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives   1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. We build for humans and AI, so you’ll use AI tools (Claude Code, Cursor) daily to move faster and design models, metrics, and documentation that agents and analysts can both rely on.   WHAT YOU’LL DO - Design and build production dbt models on Databricks that the organization uses as the source of truth for what’s happening in the business - Support external reporting with accurate, governed data that stakeholders and partners can trust - Own data quality: testing, CI/CD, documentation, and patterns the team follows - Build and evolve Databricks dashboards and semantic metrics for self-service across the business - Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy business problems into durable data products - Drive AI-native workflows: Cursor/Claude (or equivalent) in daily development; model and doc design that works for LLM consumers   YOU BRING - 3+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis - Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD) - Strong Databricks BI (or equivalent semantic layer) delivery - AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents - Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping - Clear communicator across technical and non-technical audiences - Owner mentality: you see what’s broken, fix it, and raise the bar for others   TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.     WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Jeddah, Saudi Arabia We are looking for an experienced Project Engineer Mechanical with a strong background in residential units HVAC and mechanical systems design reviews, material installation, site supervision, and quality inspections for the mechanical components of major building rectification and upgrade programs. This role demands a high level of expertise in the design, execution, testing, and commissioning of complex mechanical systems. The ideal candidate will ensure stringent adherence to design criteria, codes, and industry standards at every stage of the project's life cycle. Work Location : Thuwwal, Saudi Arabia Scope of Work Perform design reviews of design packages, providing constructability insights as needed to the Design & Engineering team or consultants. Review and coordinate shop drawings, and as-built drawings across multiple trades and disciplines. Supervise and inspect mechanical work, providing day-to-day monitoring of project progress within the project scope. Perform QA/QC inspections to identify nonconforming work, issuing periodic reports to track quality metrics. Respond to contractor requests for inspections, technical queries, and site clarifications, coordinating with the project management team to issue field directives as necessary. Verify quantities and work progress to ensure accuracy in completed work calculations. Coordinate and resolve mechanical design issues that arise during construction, working closely with all stakeholders, including contractors, to ensure alignment within the project scope. Support technical decision-making on mechanical systems, providing expertise to address design or installation challenges. Assist in the installation, troubleshooting, and repair of mechanical systems as needed. Offer technical knowledge and guidance on the operation of mechanical distribution systems. Lead commissioning, startup, and adjustments of mechanical systems and components, ensuring proper function. Investigate and resolve complaints related to code violations, addressing issues promptly. Monitor project progression via an approved schedule to ensure adherence to timelines and milestones. Document deficiencies and corrective actions by photographing conditions before and after rectification. Maintain comprehensive records and daily updates to the project track sheet. Develop Project Charters outlining project scope, budget, and schedule to guide project planning and execution. Work in partnership with other FM teams, IT, HSE, and stakeholders as needed, with transparency. Be user-centric, building trust and strong relationships with customers, providing options, solutions and choices to meet their needs. Requirements Minimum of 5+ years of experience in verifying design against construction, QA/QC, material specification, Mechanical Systems commissioning mainly residential HVAC and plumbing systems. Bachelor's degree in mechanical engineering Extensive knowledge and familiarity with Mechanical codes and design. Fluent in written and spoken English. Attention to detail Organizational skills Multitasking Customer oriented Self-motivated High levels of ownership HVAC systems

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's New Markets and Monetization team exists to bring transformational AI to every business. Model capabilities are compounding, and the Claude Platform is how businesses build with our models. Our job within the Claude Platform is to make sure that every industry, not just software, can build on frontier AI with our APIs and that everyone who builds on Claude prospers by it. The work falls into two pillars that reinforce each other. Verticals: identifying and building for the next API markets. Monetization: the commercial machinery that lets the platform do business anywhere, with anyone: a single way for usage that flows through partners, resellers, and other platforms. We're hiring the founding product managers onto this team, and this posting covers all of them. You will own one of the areas below outright, work day to day with a dedicated engineering lead and designer, and be measured on numbers that are company-level goals for the half. Almost none of this exists yet, so most weeks you will be the person defining the problem rather than receiving it. Key responsibilities Partner and platform billing. How usage that reaches Claude through a partner, reseller, or another platform is metered, attributed, and billed, and the program terms that go with it, so indirect volume can grow without our risk growing with it. Spend observability and controls. Giving enterprise buyers a precise view of what they spend and where, and turning that into limits and controls they can enforce, including programmatically. One account, and the startup path built on it. One login and one wallet across the API and Claude's subscriptions, so a builder's first commit, first production call, and first invoice are on a single plan. A vertical. The platform strategy for a particular industry: what builders there need that the platform doesn't yet do, which bets to make, and shipping them with the vertical's own product and go-to-market partners. Whatever your focus, you will: Build on primitives owned by the Billing Platform and Auth & Identity teams, and ship with Growth, Go-to-Market and Startups, Legal, Finance, and Data Science Structure the commercial terms yourself, whether that's pricing, revenue attribution, or partner and startup program terms, with Finance, Legal, and Business Development Talk to every side of the ecosystem, from enterprise buyers and startup builders to the partners that resell or embed Claude and the industry customers we're building for, and turn it into a roadmap where each new participant makes the platform more valuable to the rest Own the team's outcome metrics: the share of the platform's business outside coding, new startup revenue, volume unified across the API and Claude's subscriptions, and the volume partners book on Claude, and make sure the instrumentation exists to know whether what you shipped moved them Write the strategy, the specs, and the analysis yourself Minimum qualifications Have owned a developer platform, API, billing or money-movement product, or self-serve growth product end to end, and were the person accountable for its revenue or activation number (for most people this means five or more years as a PM, but we care about the ownership, not the years) Have built with or shipped on top of large language models, and have a view on what changes about billing, identity, or distribution when the customer is sometimes an agent Are technically fluent: you read API docs, work through a billing, identity, or attribution design with engineers, and make calls on platform primitives yourself Pull your own data: SQL or equivalent, to define a metric, build a funnel, or size a market Have negotiated pricing, revenue share, or program terms with Finance, Legal, or Business Development counterparts Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you're making Care about Anthropic's mission, and specifically about growing this platform in a way where the people building on it share in the upside Preferred qualifications 8+ years of product management experience Worked on metering, usage attribution, reseller or cloud-marketplace channels, or enterprise spend management Taken a developer platform into a new industry, or built product in healthcare, life sciences, financial services, or another regulated industry Grown a developer product's self-serve or startup business, including its pricing and packaging Built account, identity, or subscription systems that span more than one product Taken a product from zero to one, where the users, the product, and the economics all had to be worked out at once The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Technical Program Manager, Mobile San Mateo, CA As a Senior Technical Program Manager, you will drive the development of software that powers the mobile experiences defining the future of the PlayStation ecosystem. You will coordinate complex technical initiatives across mobile applications and cross-platform systems, ensuring successful delivery of products that delight millions of users worldwide. You will be responsible for orchestrating programs across Android native development, React Native implementations, and critical infrastructure systems. Your role involves you in every facet of the launch lifecycle, from initial planning through production deployment. Responsibilities: • Drive end-to-end program execution for mobile applications and infrastructure systems, coordinating across engineering teams to deliver scalable and performant solutions. • Manage program timelines and dependencies across mobile and console teams, ensuring alignment between Android native, React Native, and backend infrastructure initiatives. • Lead Agile/Scrum ceremonies and facilitate sprint planning, working closely with engineering teams to translate product requirements into actionable deliverables and realistic timelines. • Coordinate with international stakeholders (USA, Japan, UK) including UI designers, product managers, and engineering leads to ensure cohesive program execution across time zones. • Own program schedules, risk mitigation strategies, and executive reporting while actively managing dependencies between mobile client development and platform services. • Partner with engineering teams to define system architecture decisions, technical requirements, and integration points between mobile applications and PlayStation ecosystem services. • Drive adoption of development best practices, tooling standardization (JIRA, Confluence), and process improvements across distributed teams. • Identify and resolve roadblocks proactively, using performance metrics and data to inform program decisions and priority adjustments. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience. • 5+ years of experience as a Technical Program Manager driving consumer-facing mobile or software products from conception to launch. • Proven track record managing programs involving Android native development, cross-platform frameworks, and/or infrastructure systems. • Deep understanding of mobile development lifecycles, including experience with both native (Android/iOS) and cross-platform (React Native) technologies. • Expertise in Agile/Scrum methodologies with hands-on experience using JIRA, Confluence, and similar project management tools. • Strong technical acumen to engage credibly with engineering teams on architecture decisions, technical trade-offs, and implementation approaches. • Excellent written and verbal communication skills with ability to influence stakeholders from individual contributors through senior leadership. • Experience coordinating programs across geographically distributed teams with proven ability to navigate cultural and timezone differences. • Demonstrated ability to balance strategic thinking with attention to detail while managing ambiguity in fast-paced environments. Desired Qualifications: • Experience with mobile application performance optimization and metrics analysis. • Understanding of mobile application architecture patterns (MVC, MVVM, MVP). • Familiarity with gaming, digital entertainment, or consumer electronics industries. • Knowledge of privacy compliance requirements for mobile applications. • Master's degree or MBA in a related field. • Experience with GraphQL APIs and modern mobile development frameworks. Working Environment: • Agile team environment with startup culture within a large organization. • Location flexible with hybrid work options. • Travel required (domestic and international), estimated 15-25%. • Individual contributor role without direct supervisory responsibilities. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $163,600 — $245,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco; 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 Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional. Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten. RESPONSIBILITIES - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Build and maintain unit, integration, load and performance testing frameworks - Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc. - Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover. - Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time. - Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested. - Create project templates and shared libraries so new services start with a complete testing setup on day one. - Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities. - Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy. REQUIREMENTS - Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers. - Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them. - Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management. - Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them. - Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments. - Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale. - A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges 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: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale. You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it. How We Build Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands. Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework. What Success Looks Like Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI. Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers. Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks. What You'll Be Doing Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code. Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE. Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn. Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review. Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience. Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability. Own it in production: SLOs, on-call, incident response, and postmortems. Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact. What You'll Bring Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show. Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles. Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them. Current, hands-on production coding, and the desire to keep doing it. Passion for developer experience (DevEx/DevProd) as a discipline. Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title. No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain. Would Love for You to Have Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience). Pragmatism about the LLM ecosystem: excited by it, not distracted by it. Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. What You'll Get The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years. Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart, named a Built In 2026 Best Place to Work. Work that shows up in patients' lives. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: United States Workplace: Remote We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem.   What you'll do here - Design and build product features that push the standard for remote development in self-hosted environments - Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools - Champion best practices to both internal team members and external contributors - Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations - Document the design, implementation, and operations of systems for knowledge sharing within the team - Work alongside Customer Success teams to support Coder’s enterprise user base - Work with cutting-edge AI technologies to create seamless, painless developer experiences - Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment   What we're looking for - 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) - Proficiency in building distributed systems in Go - Excellent verbal and written communication skills - Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion - You are self-motivated with a creative and analytical mindset   Our tech stack - Frontend: Typescript, React, Vite - Backend: Go, Postgres, GCP, Kubernetes, gRPC - Observability: Prometheus, Grafana - CI/CD: GitHub Actions - General: GitHub, Slack, Discord, Notion   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience with TypeScript and React - You have a background in developer tooling, platform engineering, or IaC - You have a curiosity about the latest tech trends and what is going on in the world of developer tools ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote Workplace: remote We're looking for a Senior Backend Engineer to join our backend team at Zerion. This team builds and evolves the backend systems at the core of our products and customer-facing solutions. In this role, you'll design and operate distributed systems, work with Web3 infrastructure, and collaborate closely with product, support, and the clients building on our API to deliver reliable, scalable solutions. We value strong ownership, thoughtful system design, and a high bar for code quality. If you enjoy building solid systems, moving fast without cutting corners, and using AI as a core part of how you work, you'll feel right at home with us. What You’ll Do Design, build, and maintain scalable distributed backend systems powering platform and product capabilities. Own backend services end-to-end : from architecture and implementation to monitoring and long-term reliability. Work closely with product and engineering peers to actively shape product decisions — not just execute specs. Scope solutions with the clients building on our API: turn a vague request into a concrete proposal, and the proposal into a plan the team can build. Build and evolve Web3 platform backend components , including protocol integrations, support for newly emerging blockchain networks, and reliable interactions with smart contracts. Ensure high standards of code quality , performance, security, and observability. Operate comfortably in a fast-paced startup environment , balancing speed and correctness. Use AI as a core part of your engineering workflow — designing, reviewing, debugging and shipping with it. This is how the team works day to day, not an experiment we're running. Contribute to technical discussions , reviews, and mentorship within the engineering team. What We’re Looking For 5+ years of experience designing and building distributed backend systems . Strong knowledge of algorithms, data structures, and software design patterns . Comfortable working in a fast-paced startup environment . Strong desire to actively contribute to product evolution , not just implementation. Comfortable working directly with customers — hearing a vague problem and coming back with a concrete proposal. Hands-on, daily use of AI in your engineering work . You should be able to talk concretely about where it has changed how you build, and where you've learned not to trust it. High standards for code quality, system reliability, and user experience — you care about getting it right, not just getting it done. Strong ownership mindset — you take responsibility for outcomes, not just tasks. Clear and proactive communication in a distributed team. Pragmatic decision-making: knowing when to move fast vs. go deep . Ability to learn quickly and adapt . Technical Skill Set Excellent knowledge of Golang is a plus, not a blocker. Experience with containerized systems : Docker & Kubernetes. Experience with databases : SQL: Postgres NoSQL: MongoDB, Cassandra Experience with monitoring and observability tools : Sentry, Prometheus, Grafana. Hands-on experience with AWS (Amazon Web Services) . Experience with Python 3 . Comfort experimenting with and integrating AI-assisted workflows into daily engineering work. Bonus Points Hands-on Web3 experience: Blockchain systems, dApps, Smart contracts. Prior experience in a startup environment that emphasizes trust and autonomy . Located in time zones close to Europe for smoother collaboration. Collaborative mindset and respect for different perspectives. Curiosity and willingness to challenge existing solutions when better ones exist. Interview Process Screening Call – 30 minutes Hiring Manager Interview – 45 minutes Technical Interview – 90 minutes (includes a real-world challenge where you'll work with AI tools directly) System Design Interview – 90 minutes Team Interview – 60 minutes Founders Call – up to 60 minutes Reference Check Why You Should Join   Company Overview   Zerion API Trusted by 50+ top crypto and fintech brands Powering 2k+ active clients monthly Over 10B total requests processed A lean, senior AI-native team shipping at outsized scale   Zerion Wallet 1.7M+ active funded wallets 27.6M+ transactions 2.5B+ transaction volume 416K+ unique holders of Zerion DNA NFT     Culture: Our culture shines through in our strong team engagement and impressive retention, showing just how much we value creating a workplace where people truly want to stay and thrive. People: Collaborate with some of the most driven and intelligent individuals in the crypto space. Salary & Benefits: Receive a competitive salary, medical insurance, coworking membership, and additional benefits. Unlimited Days Off and Flexible Work Schedule: Recharge and explore life outside the office with our flexible time-off policy and work schedule. Remote Work Essentials: We provide all the necessary software and equipment to ensure you're fully equipped to work from home comfortably and efficiently. Stock Options: Contribute to Zerion's success and watch your stock options become valuable. Travel: Connect with your teammates around the world at industry events and our annual team offsite. Distributed Team: Zerion is a fully remote team with members worldwide. Embrace asynchronous collaboration, find your own work rhythm, and enjoy a healthy work-life balance.   To ALL recruitment agencies and individual recruiters: Zerion only accepts resumes from its partners, with whom Zerion has contractual relations. Zerion is not responsible for any fees or charges associated with unsolicited resumes.   We read every application in full before moving forward - as part of that, please include the word WATERMELON somewhere in your answer to the application question below