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Location: Vietnam; Armenia; Poland; Georgia; Thailand; Serbia Job responsibilities Develop end-to-end monitoring for all infrastructure stacks, including Trino, Kubernetes, databases, and Big Data (Apache Ozone and Hadoop); Implement automatic collection of DORA metrics and create high-level health dashboards to visualize service uptime; Audit current metrics and address gaps in infrastructure monitoring, particularly in K8s, databases, and distributed storage systems; Optimize and update Alertmanager rules to intercept incidents and anomalies before they impact users or are manually detected; Serve as a single point of expertise in monitoring to free team leads from routine dashboard configuration and alerting support tasks. Requirements Experience from 3 years as Devops/SRE and from 5 years in IT, experience as an SRE or monitoring engineer with an emphasis on infrastructure reliability rather than product feature development; Experience with Python (Go/JS as a plus); Deep knowledge of Prometheus, Grafana, and Alertmanager, including writing complex PromQL queries and addressing alert fatigue; Practical understanding of SLI/SLO/SLA concepts, error budgets, and the methodology for collecting DORA metrics; Experience with containerization (Kubernetes) and databases, as well as the ability to quickly grasp metrics of distributed systems (Hadoop, Trino); Ability to translate abstract system behaviors and logs into clear, structured, and actionable metrics; Experience working with ClickHouse, Vertica, StarRocks, or Greenplum. Benefits We offer a fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward; Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model; We are an ambitious and supportive team who love what they do, appreciate each other, and grow together; The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee; We also provide partial compensation for employees participating in external training and conferences; In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world; And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services; We provide MyTime Day Off — an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities. Learn more about our data protection practices in our Privacy Policy: emergingtravel.com/career/hr-policy

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: Belgrade, Serbia Own the development and maintenance of strong relationships with Clients, including a complete understanding of their goals and objectives, Be responsible for ongoing Client Team communication, engaging in proactive, ongoing communications to provide status, opportunities, manage expectations, and needs associated with achievement of Client’s project, Build and maintain client relationships by providing excellent customer service to both internal and external clients, Provide service support for accounts (handling service issues, invoicing questions and research for individual client requests), Ensure timely and successful delivery of the company services according to customer needs and objectives, Forecast and track key account metrics, accounts P&L, financial analysis and reporting, Drive peak performance and sales success across the accounts, Create, negotiate and close agreements, Develop key presentations to acquire new partnerships, Own and manage partner relationships with the objective to increase revenue and improve partnership, Manage and maintain accounts portfolio assets and information, Train key people as necessary and ramp up on business requirements and client expectations, Identify and develop new business opportunities with existing clients for potential growth attainment, Contribute to ongoing business development, marketing and sales efforts, Manage customer travel, including visa process. Requirements 5+ years of account (partnerships) management experience from a gamedev company Four year degree required Proven track record in sales, business development and winning new business in High-tech or Gamedev Ability to identify, clarify and prioritize key issues. Proven ability to work with all levels of individuals, both internally and externally, with professionalism and tact Outstanding organizational skills with a strong attention to detail and the ability to be flexible and adaptable in a team oriented environment Highly proficient with Microsoft Office Pack Benefits Working with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events Medical Care package Sensibly flexible working hours Breakfasts, snacks and fruits available during the day, tea and coffee machines

Location: Tashkent, Uzbekistan Sperasoft has been one of key partners for a Tier-1 global publisher for several years. Together, we are continuously building and expanding one of the most iconic, culturally defining, and massive live-service AAA titles in gaming history. We are looking for a talented 3D Environment Artist with a passion for vibrant, stylized art to join our dedicated team. In this role, you won't just be making props - you will be shaping the environment of a world that millions of players live and breathe every single day. Responsibilities Create modular level art assets and props from scratch. Create, trim sheets, tileable and unique textures, and effectively combine them to create high-quality assets. Optimize assets for different platforms, including creating LODs and collisions Requirements Strong ability to create, trim sheets, tileable and unique textures, as well as combine them effectively. In this position, you will primarily be creating assets from scratch rather than placing them on the map. Strong modeling background, ideally in a variety of styles. Ability to manually adjust weighted normals for assets. Strong knowledge of baking and texturing with tools such as Marmoset, Substance Painter, and Designer. Ability to seamlessly bake assets made of multiple parts. Strong Maya experience is a plus. Ability to work with Unreal Engine 5. 2 years of professional experience in the video game industry building architecture and props. A passion for creating games and the ability to learn quickly will be a plus. Benefits Cooperating with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events

Location: Astana, Kazakhstan Sperasoft has been one of key partners for a Tier-1 global publisher for several years. Together, we are continuously building and expanding one of the most iconic, culturally defining, and massive live-service AAA titles in gaming history. We are looking for a talented 3D Environment Artist with a passion for vibrant, stylized art to join our dedicated team. In this role, you won't just be making props - you will be shaping the environment of a world that millions of players live and breathe every single day. Responsibilities Create modular level art assets and props from scratch. Create, trim sheets, tileable and unique textures, and effectively combine them to create high-quality assets. Optimize assets for different platforms, including creating LODs and collisions Requirements Strong ability to create, trim sheets, tileable and unique textures, as well as combine them effectively. In this position, you will primarily be creating assets from scratch rather than placing them on the map. Strong modeling background, ideally in a variety of styles. Ability to manually adjust weighted normals for assets. Strong knowledge of baking and texturing with tools such as Marmoset, Substance Painter, and Designer. Ability to seamlessly bake assets made of multiple parts. Strong Maya experience is a plus. Ability to work with Unreal Engine 5. 2 years of professional experience in the video game industry building architecture and props. A passion for creating games and the ability to learn quickly will be a plus. Benefits Cooperating with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events

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: Tashkent, Uzbekistan; Tbilisi, Georgia; Kazakhstan; Minsk, Belarus We are currently looking for an independent and proactive Recruiter to join our team. In this role, you will manage the full-cycle recruitment process, including hiring for fast-growing industries such as Сonstruction, Real estate, Marketing, Fintech and IT. Responsibilities Collaborate closely with hiring managers to define candidate profiles, create job descriptions, and build strong partnerships throughout the recruitment process. Develop sourcing strategies and attract candidates through various channels. Conduct initial interviews and assess both soft and hard skills. Guide candidates through the entire hiring process: from the first contact to offer and onboarding. Maintain accurate and up-to-date candidate information in internal HR systems. Requirements Experience in recruitment more than 3 years. Strong spoken English (B2 or higher) - you will work in international work enviroment. Spoken Russian will be a plus. Interest in Construction/Real Estate/Marketing/Fintech/IT industries. Benefits Fixed salary + bonus for each successfully closed position. Fully remote work. Supportive team, regular calls, and the opportunity to work and grow in fast-growing industries.

Location: Dubai, United Arab Emirates We are looking for an experienced and results-driven MEP Manager to oversee and manage all Mechanical, Electrical, and Plumbing (MEP) works for our construction projects. The ideal candidate should have strong technical knowledge, excellent leadership skills, and proven experience in managing MEP operations from project execution through testing, commissioning, and handover. Responsibilities Manage and supervise all MEP activities across the project. Coordinate with consultants, contractors, subcontractors, and other project teams. Review MEP drawings, technical submittals, and material approvals. Ensure MEP works are executed according to approved drawings, specifications, quality standards, and project schedules. Monitor project progress, manpower, materials, procurement, and installation activities. Resolve technical issues and coordinate clashes between MEP and other disciplines. Ensure compliance with safety regulations, local authority requirements, and applicable standards. Manage testing, commissioning, inspections, and final project handover. Monitor project costs, variations, and subcontractor performance. Prepare progress reports and ensure timely completion of all MEP works. Requirements Bachelor's degree in Mechanical or Electrical Engineering. Minimum 10 years of relevant MEP experience in the construction industry. Proven experience in managing MEP works for large-scale building projects. Strong knowledge of HVAC, electrical, plumbing, drainage, firefighting, and ELV systems. Good understanding of MEP drawings, specifications, project planning, and site coordination. Experience in managing subcontractors, consultants, and project teams. Knowledge of relevant local authority regulations and approval procedures. Proficiency in AutoCAD, Microsoft Office, and project planning software. Excellent leadership, communication, coordination, and problem-solving skills Benefits Competitive salary Career growth and professional development opportunities. Collaborative team

Location: Tashkent, Uzbekistan We are seeking an experienced and strategic Head of Sales to lead our expansion and revenue growth in Uzbekistan. The ideal candidate will be responsible for building, managing, and scaling a high-performing sales team while driving business development initiatives in the region. This is a key leadership role for a professional who understands emerging markets, is target-driven, and can establish strong market presence. Key Responsibilities: Develop and implement effective sales strategies to achieve revenue targets Lead, manage, and mentor the sales team to drive performance Identify new business opportunities and expand market reach Build and maintain strong relationships with key clients and partners Analyze market trends, competitor activity, and customer needs Set sales targets, monitor KPIs, and optimize sales processes Collaborate with internal teams to align sales with overall business goals Requirements Minimum 5+ years of experience in sales, with at least 2 years in a leadership role Proven track record of meeting or exceeding sales targets Experience in emerging markets (Central Asia experience is a plus) Strong leadership and team management skills Excellent communication, negotiation, and presentation abilities Ability to develop and execute strategic plans Fluency in English (Russian or Uzbek is a strong advantage) Benefits Competitive salary + commission Opportunity to lead and grow development company in a new market Career progression and leadership exposure Supportive and dynamic work environment

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 - 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: United States, San Diego, 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. Job Overview: Sony Interactive Entertainment (SIE) is part of the Sony Group and responsible for the marketing, sales, and distribution of PlayStation hardware, software, services, and digital content. We are seeking an experienced and strategic Sr. IT SOX Governance Lead to establish and drive end-to-end ownership of IT SOX governance within DTIS Global Service Operations (GSO). This role will serve as the primary lead responsible for IT General Controls (ITGC) governance, control framework ownership, audit coordination, onboarding of new systems, and governance standardization across the enterprise. This position is critical to scaling IT governance capabilities, reducing operational risk, and enabling sustainable compliance operations as SIE continues to grow. The ideal candidate will combine deep SOX and ITGC expertise with strong governance leadership, operational execution, and cross-functional collaboration skills. Key Responsibilities: IT SOX Governance Ownership Own and manage the IT SOX governance framework and ITGC program. Establish standardized governance processes, methodologies, and control design practices. Lead end-to-end ownership of ITGC lifecycle activities including design, implementation, onboarding, testing support, remediation tracking, and reporting. Drive governance consistency across systems, applications, and operational teams. Control Design & Framework Management Design, document, and maintain ITGCs and application controls aligned to SOX requirements. Develop scalable governance standards for onboarding new systems and processes into SOX scope. Maintain control narratives, process documentation, data flows, and supporting evidence standards. Partner with control owners to improve effectiveness and operational maturity. Audit & Compliance Leadership Serve as the primary IT interface for external and internal audit stakeholders. Coordinate walkthroughs, evidence collection, testing support, and remediation activities. Manage audit findings, deficiencies, and corrective action plans through resolution. Ensure timely and accurate delivery of audit artifacts and reporting. Risk Assessment & Operational Governance Conduct risk assessments and identify control gaps, process inefficiencies, and governance risks. Develop remediation and mitigation strategies for identified deficiencies. Monitor compliance status, control performance, and governance metrics. Support continuous improvement initiatives focused on automation, scalability, and operational efficiency. Cross-Functional Collaboration Partner closely with engineering, infrastructure, platform operations, Finance Governance (FinGov), and Risk & Compliance teams. Support alignment between SOX governance and other compliance programs including PCI, GDPR, and security governance initiatives. Drive governance accountability and awareness across technical and operational stakeholders. Governance Transformation & Continuous Improvement Identify opportunities for automation and process optimization within SOX operations and evidence management. Contribute to long-term governance roadmap initiatives including continuous monitoring capabilities and scalable onboarding models. Stay current on regulatory requirements, industry trends, and governance best practices. Qualifications: Bachelor’s degree in Information Systems, Information Technology, Accounting, Computer Science, or related field. 7+ years of experience in IT SOX, IT audit, IT governance, compliance, or risk management. Strong expertise in SOX compliance, IT General Controls (ITGCs), and audit coordination. Experience leading governance programs and working directly with external/internal auditors. Demonstrated experience with control design, system scope assessments, system onboarding, and remediation management. Experience with system implementation framework (SDLC). Preferred Qualifications: Big 4 experience supporting SOX audits and IT General Controls (ITGC) assessments preferred. Professional certifications such as CISA, CISSP, CISM, CRISC, or CPA. Experience with Optro SoxHub or similar governance/audit platforms. Strong experience with cloud services and environments, along with knowledge of microservices architecture and CI/CD development techniques is preferred. Prior experience auditing SAP ERP systems is preferred. Experience with S/4, GRC, BW and HANA databases in cloud deployments is a plus. Prior experience in ITGC reviews of complex architectures, across the many IT layers (Networking/OS/DB/App/Tools), and with broad practice in various technologies. Experience supporting large-scale enterprise environments and operational governance transformation initiatives. Experience with process automation and governance tooling. At PlayStation, we value diversity and believe that a diverse workforce leads to a more successful and innovative company. We are an equal opportunity employer (EOE) and welcome applicants from all backgrounds. If you require any reasonable accommodations or adjustments throughout the application process, please let us know and we will be happy to assist you. Join us at PlayStation and be part of a team that is dedicated to delivering exceptional gaming experiences to millions of players worldwide. Apply now and embark on a journey of professional growth and fulfillment! 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. $127,000 — $190,600 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: 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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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.