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Location: Romania; Bulgaria; Portugal; Poland; Slovakia; Spain Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced ML/Data Engineer to join our dynamic team on a full-time basis. Customer location: USA Candidate locations: EU ONLY Working hours: 11.00-20.00 CET Language: English B2+ Estimated start date: 16.11.2026 Duration: 12 months Project Responsibilities Design and build production data infrastructure for high-volume athlete performance and sensor data. Build and operate real-time and near-real-time ingestion systems for streaming data. Design storage and data architectures for high-volume time-series data and longitudinal athlete records. Build infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency. Design and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes. Build data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases. Design systems that maintain strong tenant-level data isolation across clubs and customers. Establish appropriate data provenance, lineage, auditability, and observability across the platform. Work with ML and AI engineers to provide reliable data foundations for model training, inference, and evaluation. Work with sport scientists and domain experts to translate complex requirements into durable production systems. Make pragmatic technology and architecture decisions as the platform evolves. Requirements 5+ years of full-time professional software or data engineering experience, excluding internships, university placements, coursework, and academic projects. Proven experience designing, building, and operating production data infrastructure at scale. Strong experience working with time-series data or time-series databases, such as InfluxDB, TimescaleDB, Prometheus, ClickHouse, or equivalent technologies. Significant experience with real-time or streaming data ingestion, using technologies such as Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent. Experience designing graph data models or graph database schemas, not simply querying or consuming an existing graph database. Experience designing or operating multi-tenant systems with tenant-level data isolation. Strong Python and SQL skills. Professional experience with Go is highly desirable. Experience working with production systems where reliability, scalability, observability, and data correctness matter. Ability to take ownership of ambiguous technical problems and turn them into practical production architectures. Experience working directly with data scientists, ML engineers, or other technical domain specialists. Experience building probabilistic evaluation, model calibration, or model monitoring infrastructure. Experience with causal inference, counterfactual modelling, or simulation. Experience working with wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry. Experience building knowledge graphs or domain-specific ontologies. Experience with LLM or AI evaluation frameworks and an understanding of their limitations. Experience with AWS, including ECS, EC2, Lambda, SNS, SQS, or related services. Experience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies.

Location: Dubai, United Arab Emirates Location: Dubai, United Arab Emirates Employment Type: Part-Time We are looking for a committed and knowledgeable Strength & Conditioning Coach to join our coaching staff and support the team's physical preparation, performance, recovery, and injury prevention. Key Responsibilities Lead warm-ups, conditioning sessions, and injury-prevention programmes during three evening training sessions per week in Dubai. Conduct initial fitness assessments and regular performance testing throughout the season. Develop individualized gym and strength programmes tailored to players' needs and performance goals. Work closely with the Head Coach to monitor and manage fast bowlers' workloads. Support players in improving strength, speed, endurance, mobility, and overall physical performance. Recommend practical strategies to improve team fitness, recovery, and injury prevention. Track player progress and adjust training plans based on assessment results and performance demands. Contribute ideas and practical solutions to help establish the club's fitness and conditioning programme. Requirements Previous experience as a Strength & Conditioning Coach working with team-sport athletes. Experience working with cricket players is an advantage. A degree in Sports Science, Exercise Science, or a related discipline, and/or a recognised Strength & Conditioning qualification such as UKSCA, NSCA-CSCS, or an equivalent certification. Understanding of strength training, conditioning, performance testing, recovery, and injury-prevention principles. Ability to design individualized training programmes and adapt them to different athlete requirements. Knowledge of workload management, particularly for fast bowlers, is an advantage. A proactive, practical, and problem-solving approach, with the ability to contribute independent ideas. Strong commitment to player development, team performance, and consistent training. Must hold a valid UAE residence visa. Must be available for three evening training sessions per week in Dubai. Benefits Competitive salary package Senior-level role with significant responsibility Professional growth and development opportunities Note: Please apply only if you meet the UAE residence visa and weekday evening availability requirements.

Location: Austin Workplace: Remote We're hiring for a Recruiting Coordinator to help us keep hiring at Coder organized and welcoming. You'll keep scheduling running smoothly, generally support our Recruiting Team, and make sure candidates have a great experience throughout the interview process. You'll also help identify improvements that make hiring a better experience for everyone. This position is slated as contract-to-hire, and we’re looking for someone who is able to join us in our Austin office occasionally. WHAT YOU’LL DO HERE - Coordinate virtual and in-person interviews across teams and time zones, ensuring a smooth experience for everyone involved - Thoroughly document interview processes, interviewer roles, and other relevant details to help better prepare candidates and interviewers - Proactively identify opportunities to streamline coordination and improve the candidate and hiring team experience - Generally support day-to-day recruiting operations WHAT WE’RE LOOKING FOR - 1+ year(s) of experience in recruiting coordination, talent acquisition, HR, administrative support, or another similar role - Strong organization and attention to detail, with the ability to juggle competing priorities - Clear and friendly communication, both written and verbal - A candidate-first mindset and genuine interest in creating a positive experience for everyone involved in hiring - Experience using AI, an Applicant Tracking System (Ashby, Greenhouse, etc.), and standard web-based tools (Google Workspace or similar) BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience using Ashby ATS - Prior experience at a quickly scaling technical startup - Interest in growing professionally into a full-cycle Recruiter 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: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for 3D Reconstruction Research Scientist to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. WHAT YOU’LL DO - Conduct original research in computer vision, machine learning, and spatial AI. - Design, implement, and evaluate novel algorithms for: - 3D reconstruction - Neural scene representations - 3D Gaussian Splatting - Geometric deep learning - Structure-from-Motion (SfM) - Meshing - Feed-forward models - Generative models - Spatial foundation models - Collaborate with research scientists and engineers to transition promising ideas into future products. - Develop large-scale experiments and benchmarking frameworks. - Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers. - Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. WHAT YOU’LL BRING - PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered. - A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. - Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc. - Strong programming skills in Python and experience in PyTorch. - Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar. - Ability to independently drive research projects from idea generation through experimentation and publication. NICE TO HAVE - Experience with classical reconstruction tooling (COLMAP or similar). - C++ or CUDA experience, and a feel for performance and on-device constraints. - Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Deliver AI observability capabilities end to end, from ingestion to in-product visualizations. Contribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Share what you learn about exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: 3+ years of software engineering experience. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $218,891 — $245,946 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Deliver AI observability capabilities end to end, from ingestion to in-product visualizations. Contribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Share what you learn about exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: 3+ years of software engineering experience. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $160,000 — $180,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations. Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Teach best practices for exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: Significant software engineering experience, with a record of shipping and owning features end to end. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working closely with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you. What you’ll do in the role: Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations. Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product. Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies. Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows. Teach best practices for exploring and understanding AI system behavior across conversations and workloads. Iterate through fast feedback loops and experimentation, and share both wins and failures. What you’ll bring to the role: Significant software engineering experience, with a record of shipping and owning features end to end. Experience shipping customer-facing features at a SaaS company, beyond internal tooling. Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React). A track record of working closely with product managers and designers. Regular, hands-on use of AI tools in your day-to-day engineering work. Experience being on call. You'd join our rotation after about 90 days. A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job. Bonus: Experience building LLM or agent-powered features in production. Bonus: Hands-on experience with observability tooling, such as OpenTelemetry. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You’ll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel’s AI Cloud. You will report to the Director of GTM Engineering and will be remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Ship code daily using the Vercel AI Cloud Discover user pain and ship high-impact solutions Collaborate with top performers in GTM departments and ship their best practices to the org with systems Test new features and give feedback to engineering Publish best practices and guides on using Vercel’s AI Cloud What you need Have shipped a Next.js app to production with users Have 4+ years of full-stack development experience Familiar with the Vercel ecosystem Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic) Bonus if you Have built an AI agent Have automated repetitive tasks with AI Have built features with the AI SDK Have published blogs/videos explaining technical concepts Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000 - $295,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Hybrid - Boston About the Job: LaunchDarkly is looking for an experienced, self-directed Sales Development Representative to own the first stage of engagement across North America. You will manage and qualify inbound leads, event MQLs, and accounts showing meaningful engagement through our account-based programs. This is not a purely reactive lead-response role. You will combine fast, consultative follow-up with thoughtful, proactive outreach to turn customer interest and buying signals into qualified meetings and pipeline. Responsibilities: Act as the first point of contact for prospective customers across North America, creating a fast, thoughtful, and credible first impression. Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers. Own follow-up for event leads, adapting outreach based on the person, account, and engagement history. Research and proactively engage targeted accounts that show meaningful engagement and buying intent. Convert qualified interest into sales-ready meetings and opportunities for Account Executives. Execute coordinated outreach across phone, email, LinkedIn, and other approved channels. Maintain complete, accurate, and timely activity, qualification notes, and account context in Salesforce. Partner closely with North American Account Executives, Marketing, Revenue Operations, and the global SDR organization to improve lead quality, routing, messaging, and conversion. Share patterns and feedback from prospects so the broader team can improve campaigns, events, content, and the customer journey. Qualifications: At least 1 year of successful SDR or BDR experience in B2B SaaS or a similar environment. A demonstrated record of setting goals, taking ownership, and delivering measurable results. Experience communicating with customers, prospects, or other external audiences. Strong judgment and the ability to operate independently. Excellent written and verbal communication skills in English, with the confidence to engage senior and technical stakeholders. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $86,700 - $119,240 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $78,100 - $107,360 ** Zone 3: All other US locations - $73,700 - $101,310* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote; New York; San Francisco ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is looking for our first Sports Specialist to lead the commercial adoption of our AI audio products across the sports industry. This highly strategic, customer-facing role sits at the intersection of product, sales, and sports. We’re looking for someone who combines deep expertise in the sports ecosystem with a strong enterprise sales background. You will become the go-to expert for sports use cases, partnering closely with Account Executives to help customers understand how AI can transform content creation, localization, fan engagement, accessibility, and live and on-demand experiences. This is not a quota-carrying role. Instead, your success will be measured by driving product adoption, enabling the sales organization, influencing product direction through customer feedback, and helping close strategic opportunities where sports expertise is essential. IN THIS ROLE YOU WILL - Serve as the subject matter expert for ElevenLabs’ sports use cases, supporting enterprise sales opportunities from discovery through deployment. - Partner closely with Account Executives throughout the sales cycle, providing product expertise, customer education, and strategic guidance. - Drive adoption across professional sports leagues, teams, federations, broadcasters, streaming platforms, rights holders, agencies, sports technology companies, and other organizations across the sports ecosystem. - Help customers apply AI audio to use cases such as multilingual content, commentary, fan engagement, content production, personalization, and accessibility. - Build relationships with key stakeholders across sports, including commercial, media, digital, content, innovation, and technology leaders. - Deliver compelling product demonstrations and workshops that showcase the capabilities and business value of ElevenLabs’ products. - Collaborate with Engineering, Growth, Legal to bring customer insights into product development and go-to-market strategy. - Develop scalable enablement materials, best practices, and sales playbooks to help the broader commercial organization successfully position ElevenLabs within sports. - Stay ahead of emerging trends in AI, sports technology, media, broadcasting, and fan engagement to help shape ElevenLabs’ long-term strategy. REQUIREMENTS - 7+ years of enterprise technology sales experience. - Proven experience selling into or working with sports leagues, teams, broadcasters, streaming platforms, rights holders, agencies, or sports technology companies. - Deep understanding of the sports ecosystem, including content and production workflows, media rights, fan engagement, partnerships, and digital distribution. - Ability to translate complex technical capabilities into compelling customer value propositions. - Strong executive communication skills, with experience presenting to both business and technical stakeholders. - A track record of navigating complex organizations and building alignment across multiple decision makers. - Highly collaborative, with a passion for partnering across Sales, Engineering, Growth, and Legal. - Comfortable operating in a fast paced startup environment where you will help define the role as the business grows. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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 Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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 Corporate Counsel, Global Regulatory & Litigation San Mateo, CA; San Diego, CA; Washington D.C. (Hybrid) Hybrid | minimum two days onsite per week Role Summary: As Senior Corporate Counsel, Global Litigation & Regulatory Disputes at Sony Interactive Entertainment LLC ("SIE"), you will help manage a varied portfolio of global litigation matters, SIE's responses to regulatory requests for information (RFIs), inquiries, and investigations in the Americas with support for matters globally; and advise business stakeholders on evolving regulatory and litigation risks. This role requires sound judgment, initiative, and the ability to coordinate fast-moving, cross-functional matters across jurisdictions while determining when matters should be handled by internal teams and when outside counsel support is appropriate. What You'll Be Doing: Global Regulatory Response & Investigations Lead and coordinate responses to government and regulatory RFIs, inquiries, investigations, and related information requests across the Americas with support from jurisdictions worldwide as needed. Quickly assess the scope, legal risk, business impact, response requirements, and deadlines associated with each matter, and develop a clear response strategy and workplan. Manage tight deadlines and short turnaround times while ensuring responses are accurate, complete, consistent, and appropriately reviewed and approved. Engage and coordinate internal stakeholders across Legal, Compliance, Privacy, Information Security, Product, Engineering, Finance, Public Policy, Communications, and other relevant functions. Identify, preserve, collect, review, and synthesize relevant information and documents in partnership with other team members, internal subject-matter experts, and operational teams. Exercise sound judgment regarding when a matter can be managed effectively by an internal team and when specialist outside counsel should be engaged. Oversee outside counsel as needed; establish strategy, manage workstreams and budgets, and ensure advice is practical and aligned with business objectives. Global Litigation & Risk Advisory Manage litigation and other adversarial proceedings in the Americas and on a global basis as needed, in coordination with internal stakeholders and outside counsel as appropriate. Develop and implement litigation strategy, manage discovery and other case workstreams, evaluate resolution options, and oversee matters through trial, arbitration, appeal, or settlement as applicable. Provide clear, practical, and timely advice to business stakeholders and leadership regarding evolving regulatory and litigation risks, including potential operational and strategic impacts. Monitor regulatory enforcement and litigation trends across key markets and translate developments into actionable risk-mitigation recommendations. Collaborate with legal and business colleagues to improve processes, playbooks, governance, and readiness for regulatory inquiries, investigations, and litigation. What We're Looking For: Juris Doctorate degree from an ABA-approved law school. An active US state bar membership in good standing. At least 12 years of counsel experience, including regulatory inquiries, investigations, complex litigation, and government enforcement matters. Demonstrated ability to lead responses to RFIs, inquiries, and investigations from government authorities and regulators, including matters involving compressed timelines and multiple jurisdictions. Proven track record of successfully managing complex litigation or investigations and coordinating internal teams and outside counsel across jurisdictions. Sound judgment regarding legal risk, escalation, privilege, and the appropriate use of outside counsel and other external advisers. Ability to work cross-functionally and internationally with multiple partners and to implement global strategies. Demonstrated experience as a solutions-oriented self-starter who provides practical advice in a manner that is understandable by non-lawyers. Exceptional project-management and organizational skills, with the ability to prioritize competing matters, manage tight deadlines, and drive workstreams to completion. Willingness to roll up your sleeves and work on any matter, no matter how big or small. Ability to work independently while building alignment among diverse internal and external stakeholders. Excellent written and oral communication, negotiation, and stakeholder-management skills. Additional Experience That Would Be Valuable Prior experience as in-house counsel in a global technology, entertainment, gaming, or other highly regulated business. Experience advising on information security, privacy, consumer protection, competition, product, or platform-related regulatory matters. #LI-SF1 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. $226,200 — $339,200 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, 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 Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows. As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected. Key responsibilities Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions. Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales. Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions. Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions. Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination. Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools. Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business. Minimum qualifications Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting. Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar). Preferred qualifications 8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients Experience at, or insuring, a technology company or other fast-growing, complex organization Property insurance experience, including large or complex property, construction, or data center exposures Captive insurance experience (formation, management, fronting, or reinsurance) Experience insuring emerging technology risks, such as AI or technology liability and cyber Background at a major broker, carrier, or large technology company risk team Actuarial training or credentials, or experience with actuarial analysis Familiarity with insurance management systems, SQL or Python, or building workflow automation Experience building processes from scratch in an ambiguous, fast-moving environment 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: $180,000 — $230,000 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed. We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work. Responsibilities Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting Work with engineering teams to design and roll out IT general controls and IT application controls Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control Track system migrations and scope changes, and make sure controls are updated as systems move Build metrics and dashboards on control health, open findings, and remediation progress Give regular updates on program status, risks, and remediation to technical leadership Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly You may be a good fit if you Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls Have run or supported a SOX program at a public or pre-IPO company Have used automation or AI tools to make compliance work faster and more reliable Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting Have worked closely with external auditors Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer Can explain technical risks and control gaps clearly to executives and other non-technical audiences Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you Strong candidates may also have A background in software, systems, or security engineering Hands-on experience building with Claude Code or other AI tools Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering Experience with financial systems such as ERP and billing platforms, and the controls around them Experience building or rebuilding a SOX program at a fast-growing company Familiarity with other security and IT frameworks, such as NIST or ISO 27001 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: $290,000 — $365,000 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have Experience scaling IT infrastructure in high-growth technology companies Background in IT service management (ITSM) frameworks and continuous improvement methodologies Experience with enterprise software evaluation, procurement, and vendor management Familiarity with modern endpoint management platforms and zero-trust security architectures Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments Prior technical experience as an IT engineer, systems administrator, or network engineer Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements 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: $290,000 — $365,000 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: San Francisco, CA or Seattle, WA 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 ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets _______________________________________________________________________ WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ 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