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Location: Ukraine; Spain; Poland; Portugal; Romania About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. Now we are looking for a Senior ML Operations Engineer to join us as part of our team. About the role As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team composition 1 Engineering Manager, 4 Senior ML Ops Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation. Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment. Provide mentorship, technical guidance, and perform code reviews for team members. Design and deliver on projects end-to-end with little to no guidance. Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC. Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. We’re looking for you if you have Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience). 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered). 4+ years of experience designing and building distributed software systems and architectures. 3+ years of hands-on experience deploying and operating Machine Learning services in production. Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance. Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker. Demonstrated experience with SQL and NoSQL database design and implementation. Ability to decompose complex problems into iterative, well-defined solutions. Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently. Experience working across multiple development teams is a plus. Bonus points Experience with cloud platforms (AWS, Google Cloud Platform, or Azure). Proficiency in GitOps practices and CI/CD pipeline development and management. Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems. LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock). LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar). Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector). RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance. Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka. ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow. API development with FastAPI or similar frameworks. Java programming experience is a plus. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Live Coding (up to 30 min) Tech Interview: ML Fundamentals, Software Engineering (up to 60 min) ML System Design Interview (up to 45 min) Interview with Engineering Manager (60 min)

Location: Washington, DC 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 Federal Civilian Account Executive - Commerce & Interior at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Commerce (DOC) and Department of the Interior (DOI). You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space preferably with DOC & DOI, alongside a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Washington, DC 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 Federal Civilian Account Executive - Transport & Land at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Transport (DOT), USDA, HUD and GSA. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space preferably with DOT, USDA, HUD and GSA, alongside a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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; Palo Alto PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; Palo Alto PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: USA (Remote); Washington (Remote); New York, NY (Remote); Massachusetts (Remote); Indiana (Remote) Workplace: Remote The Production Team at LILT: LILT’s Production Team is a global workforce, operating across four continents. We are passionate about localization and making information accessible to all. The Team spans project management, program management, quality, and talent management, working with some of the world’s largest organizations. Working in LILT’s Production Team you will have access to leading tools, collaborative teammates, and opportunities to make a real impact. What You’ll Do: The Project Manager, Production ensures successful production execution across a portfolio of Life Science accounts. This role is a fundamental component of the production life cycle, ensuring projects are delivered on-time, on budget and to accepted quality standards. The Project Manager, Production will have customer facing production duties as well as internal responsibility to delegate project coordination and administrative work to teams of Production Coordinators. Key Responsibilities: - Able to complete project management tasks autonomously - Responsible for maintaining resources, core teams and pipeline to support project management work - Responsiveness to internal and external comms within pre-defined SLAs - Risk analysis to identify risks, potential issues, plan to and mitigate them - Able to define and delegate admin work to PCs Interns - Able to take responsibility for end to end project deliverables in accordance with SLAs - Effectively balances and manages priorities across a variety of task types and customers - Establishes deadlines /ensures deadlines are feasible and completes tasks by said deadlines - Escalates issues or problems to manager in an effective manner, along with proposed solutions - Asks pertinent questions to ensure full comprehension of the task in hand; Strictly follows Production SOPs and best practices. Responsible for CM, Quality and OTD KPIs. - Manage the end to end project management workflow - Ensure all projects are delivered on time as per customer SLA - Manage quality at project level - including Review, Verification, QA, LQE - Responds quickly and efficiently to internal and external stakeholders - Ensure all system admin, including data entry, is accurate - Process and approves invoicing and payments - Perform file analysis and engages with Solutions team for support on file types - Creates and monitors linguistic assets (TM, Style Guides, reference material) - Demonstrates a deep understanding of all production workflows and processes related to their accounts - Utilize systems and tools released by Production Enablement - Train supporting resources on key production processes and methodology - Develop and maintain process documentation related to their task load and the tasks delegated to other resources. - Consistently follow correct protocols for tasks and accounts. - Monitor and enforce adherence to correct production procedures - Provides insight to Strategist into revenue forecasts based on production volume - Manage quality complaints and feedback received from stakeholders - Raise Customer Support tickets for 100% of production blockers (Jira) - Identifies resource requirements for production work - Performs self-sourcing in our existing vendor database and enters sourcing requests when new vendors are needed - Completes ongoing risk assessment and mitigation for all production areas. - Manage linguist communication for all projects Skills and Experience: - A Bachelor’s degree, or equivalent; Master’s degree preferred - 2+ years of proven project management experience in clinical trials localization preferred - Excellent client-facing and internal communication skills - Solid organizational skills including meticulous attention to detail and multitasking skills - Able to meet deadlines and work under pressure AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: London, UK; Oslo, Norway Workplace: Hybrid We're hiring a senior engineer for Agent Foundations, the team responsible for how agents work with structured content at Sanity. We own two products. Content Agent https://www.sanity.io/content-agent runs content operations (bulk edits, audits, translation, publishing) through conversation in Sanity Dashboard, Slack, Linear and a headless API. Sanity Context https://www.sanity.io/context (including Knowledge Bases https://www.sanity.io/docs/ai/sanity-context-knowledge-bases) is an MCP endpoint that gives any agent structured retrieval and semantic search over a team's live content, whether it be Sanity Documents or your own federated content from outside Sanity. We're looking for someone who's built AI systems people can depend on in production. At Sanity.io http://Sanity.io, we build an AI-powered content operating system that lets teams model, create, and automate content the way their business actually runs. SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew run their content operations on it. Most AI products add a model to a content store. We work on what sits underneath. We build knowledge bases from Sanity datasets https://www.sanity.io/content-lake and external sources, and retrieval that combines GROQ filters with keyword and embedding search. Our agents need to understand schemas, references and validation rules. Telemetry and evals tell us how well the systems work. You'll work across these systems, owning your domain end to end and working closely with product and design to decide what gets built next. WHAT YOU'D BE DOING: - Build retrieval and knowledge bases. Turn sources into documents and chunks. Develop how knowledge bases are created, kept fresh and scoped, and how agents query them using GROQ, keyword and semantic search together. - MCP endpoints and tools give agents their interface to our systems. You'll build these, along with tools and integrations that extend Content Agent. - Work on agent loops. Write the orchestration logic that controls an agent's actions and their order, including when to bring a human in. - Engineer system prompts. Give agent instructions the same engineering attention as the code around them. - Measure and improve reliability, retrieval quality and cost through evals, telemetry and experiments. We measure it in production as well as on test sets. - Ship across the stack. Build interfaces in Dashboard and Studio, APIs and backend services. Work on Blueprints, the infrastructure-as-code path customers use to define their agents and knowledge. - Help shape the products. Sanity Context is new and changing quickly. You'll have considerable latitude to decide what it and Content Agent become. ABOUT YOU: - Location: London, UK or Oslo, Norway (in-office 2–3 days/week) - You're strong in TypeScript and React and comfortable working across frontend, APIs and backend (often in Go). - You've shipped LLM-based systems in production and understand the work it takes to make them behave reliably for every user. - You understand chunking, embeddings, hybrid search and ranking, including where RAG falls short. Experience with search or information retrieval is a strong plus. - You think through a capability's user intent, edge cases, failure modes and cost before deciding on the architecture. That includes what the agent needs to know, which tools it can use and when it should escalate. - You write well and pay attention to how phrasing changes an agent's behavior. You can write precise instructions for a system that interprets language literally. - You're comfortable working with probabilistic systems. You design evals, run experiments and interpret results statistically, using aggregate trends to decide which failures need attention. - You have experience with MCP, tool-use patterns and agent architectures, or you're curious enough to explore them. - You care about the quality of the code and products you ship, down to the writing. You don't need to meet every requirement to apply. We're especially interested in people who've developed engineering skills after starting in fields such as writing, interaction design or liberal arts. Some of the best agent work we've seen comes from people who understand language and how people work, alongside systems architecture. WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive stock options program and location-based salary WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that, in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: Paris, France Workplace: OnSite 🤖 WHO WE ARE We’re building Mo — a health companion for everyone. We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care. Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖. We kicked off the project in 2023, and we have launched Mo to all our french members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe. 🚀 WHAT KEEPS US UP AT NIGHT We’re building a medical agent that works — reliably, safely, and at scale. You’ll work at the intersection of product engineering, ML engineering, and medical expertise. Our mission is to build the most accurate and reliable medical agent in the world, while delivering an outstanding conversational experience. Things we’re working on: - 💬 Deliver the most memorable chatting experience — You’ll work on making Mo the obvious choice when it comes to asking a health question. It means having a world-class snappy and delightful chatting experience, blazing fast time to answer, and rich content shared. - 🧱 Integrate Mo with Alan services and our healthcare system — You’ll work on integrating Mo with our other services (digital chat with HP, map of physical location of HPs, tailored prevention programs, …) to help members get from words to actions. - ➕ Extend our architecture to support the next chapters of Mo — You’ll work on our architecture, and agentic framework, to support Mo’s next needs (get more context, use new skills, be accessible in other countries we operate in) If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently. 🎯 IS IT YOU WE’RE LOOKING FOR? We’re looking for Product engineers with 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare. - You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people. - You’ll implement new capabilities for Mo, working across engineering, data, and medical expertise - You'll have deep product ownership over the use cases supported in Mo, making sure we actually help our members get and stay better. - You’ll have significant influence on system architecture and code quality - You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.). You would be a good fit in Mo if most of this sounds like you: - Applied background in software engineering and systems architecture - Experience with traditional ML, or LLMs, or ML dev ops is a big plus. - Product-minded: you want your solutions to be used, and impactful - Self-directed, pragmatic, driven, hard working - Humble and still willing to grow (no matter your seniority!) - Collaborative, enthusiastic about teamwork, learning, and teaching - Fluent in English (no need to speak French!) - Ex-founders are typically great fit in our team But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🤘 HOW WE DO IT ? We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, our https://www.notion.so/alaninsuranceShareholder Letters https://alan.com/en/blog/discover-alan/a/alan-2025-q3-letter-to-shareholders are worth a read. People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: HOW WE WORK: OUR LEADERSHIP PRINCIPLES - Mission is the Boss — We think long-term and are methodical optimists who take risks, seeking our mission's success above all else. - Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results. - Radical Transparency — All information is accessible and written-first, so everyone can make the best decisions asynchronously. - Always Growing — Direct, positive, and caring feedback, combined with self-growth ownership. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP

Location: Washington, DC 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 Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly.   The Role: Offchain seeks a Head of Enterprise to own the commercial strategy and collaboration with Product for the company’s blockchain services platform. The ideal GM is a leader who can seamlessly navigate technical complexity, commercial strategy, and team management while maintaining deep customer focus and driving measurable business outcomes in the rapidly evolving blockchain ecosystem. What You’ll Do: Commercial Strategy Responsibilities: Develop the commercial strategy (e.g. potential revenue streams, growth and go-to-market strategies) and success metrics for our platform offering. Forge partnerships within the Arbitrum and broader Ethereum ecosystem to drive impact across our products. Represent the product(s) externally as a thought leader – evangelizing our offering at industry events, and with key partners or early adopters, to drive adoption and trust. Customer Focus & Product Excellence: Maintain a razor sharp focus on delivering value to teams building onchain applications. Work directly with our users and customers to shape industry-leading products, and serve as a key stakeholder in the sales and business development process. Ensure that everything we ship as part of our platform offering is class-leading with no compromises on security, performance, or ease-of-use. Product Collaboration: You will work closely with product teams to ensure the needs and feature requests of both existing and prospective customers are incorporated throughout the platform’s development. You will also provide product teams with deal-driven insights and timelines, helping prioritize features based on customer importance and active negotiations. Cross-Functional Management: Build and lead a high-performing organization including product and design teams; coordinating closely with engineering leads. As a business unit leader, coordinate cross-functionally with Legal/Compliance (to navigate evolving crypto regulations), Security, Marketing, and Partnerships. Manage the Platform team’s KPIs and budgets, and communicate progress to Offchain's leadership. Who You Are: Strategic and Commercial Acumen: Visionary mindset to shape product strategy aligned with company goals, paired with data-driven decision-making. Understands product metrics, growth funnels, and can define OKRs. Business savvy to identify market opportunities. Experience defining go-to-market strategies and driving user growth/engagement metrics is important. Enterprise Commercial & Deal Leadership: Proven ability to acquire, negotiate, and close complex enterprise and commercial deals, owning the full customer lifecycle from initial engagement through contract execution, onboarding, and long-term expansion. Experienced in managing strategic accounts, growing revenue through renewals, upsell, and cross-sell, and building trusted executive relationships to expand platform adoption over time. Domain Expertise: Deep knowledge of digital wallets, payments, or Web3 products. Experience in consumer fintech (digital banking, payment apps, etc.) or crypto is required – mixed Web2/Web3 experience is a plus. Familiarity with blockchain tech, Ethereum ecosystem, and self-custody wallets is highly desirable, or a strong ability to learn these quickly. Leadership & Execution Skills: Strong people leader able to recruit and build a diverse team. Excellent project management skills with the ability to prioritize effectively in a fast-paced, ambiguous environment. Has led cross-functional teams and can coordinate between technical, creative, and business stakeholders. Exceptional communication skills to articulate vision and strategy to both internal teams and external partners/users. What You’ll Need: 12+ years of experience in commercial leadership, enterprise sales business development, product strategy, or general management roles. Proven Experience owning and scaling enterprise/ commercial revenue streams and go-to-market strategies. Track record of acquiring, negotiating, and closing complex enterprise and commercial deals. Experience managing strategic accounts, renewals, expansions, upsell, and cross-sell motions. Experience leading cross functional teams across Product, Engineering, Marketing, Legal/ Compliance, and Partnerships. Strong Background in fintech, payments, digital wallets crypto or blockchain platforms (mixed web2/ web3 experience is preferred). Demonstrated ability to operate in technically complex, fast-moving product environments. Experience building leading and scaling high-performing teams. Strong commercial, analytical and data-driven decision-making skills. Executive-level communication and stakeholder management experience. Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Job Seekers:   This role cannot be performed in California, or Colorado.   Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com   At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.   We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Buenos Aires; Remote - Latin America Workplace: Remote Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an entrepreneurial CSM to retain and grow a dedicated book of customers. WHY I'M HIRING At Whippy, we view Customer Success as a revenue engine, not a cost center, because if customers don't get value from a tool, they'll leave. Whippy has six incredible products today because we've always built alongside our customers - that's how we evolved from a simple texting platform to now powering calls, texts, email, Ai-agents, and complex messaging and business automations for over 1000+ businesses. We ship fast to meet our customers' needs. Most customers start with one use case, like a staffing firm using an AI voice agent to screen candidates. They stay and grow because they see real ROI, then expand use cases until Whippy becomes the infrastructure their business runs on. Your job is to drive that growth: make their first outcome happen during onboarding/implementation, uncover the next problem, and help them get even more value. Our best CSMs have taken our staffing customers from an initial $12k deal to $180k ARR because customers like Your Employment Solutions https://www.linkedin.com/company/your-employment-solutions/ are getting over $1M in ROI using Whippy to augment their teams and beat the competition.   You'll help us grow more customers by deeply understanding their desired outcomes, helping them achieve those outcomes, and providing an exceptional experience along the way.   This is one of those rare jobs with massive growth and learning opportunities: there's no bureaucracy here, and we're still early in building a world-class customer success team. You'll have a crucial role to play, and fresh ideas, feedback, and experimentation are always encouraged because we double down on wins and quickly pivot when ideas don't work out. You'll work with six other CSMs and report directly to me, and I'll provide the support, coaching, tools, and data to do the best work of your career here, plus the variable comp to get well rewarded when you deliver results.   I'm looking for a CSM that wants to grow into a renaissance CSM, someone technical, strategic, and commercial, all in one: Technical as in you enjoy mastering the product and finding the best solutions for our customers. Strategic as in you deeply understand your customers pain points and always have a plan to solve them. Commercial as in you have pricing awareness and understand the retention and expansion risks and opportunities in your book.   SOME THINGS YOU'LL DO - Own a book of business end to end, from onboarding through renewal and expansion, as the single point of contact and trusted advisor. - Own your gross and net revenue retention, and get rewarded for beating targets. - Run a proactive cadence on every account: prepared calls, clear agendas, mutual success plans, and follow-through. - Become a product and customer expert. Master Whippy’s products and know your customers' business well enough to build the workflows, AI agents, and automations that solve their problems. - Tie usage to business outcomes, and report value back in the metrics customers actually care about. - Turn wins into case studies, references, and testimonials that help sales win the next customer. - Spot expansion signals and hand warm leads to sales when usage outgrows the contract. - Tell customers the truth, steering them away from work that won't move their business and toward the work that will. - Advocate for the customer. Feed what you hear to product, sales, and engineering so we build the right things. - Experiment and iterate. If you have an idea to do something better, do it and document what you learn. OUR CUSTOMER SUCCESS VALUES This is a high-performance environment, and I'll coach & support you through it. You'll be challenged, coached, and you'll always know where you stand. CS is a team sport, so it's okay to ask for help, experiment, fail, and pivot. A few things that are true here: - Everyone is a builder. Our CSMs build in the product without engineering, and the best product ideas come from you, the person closest to the customer. We use AI to move fast, but we own our work, verify every fact, and don't ship slop. - We lead with expertise, not order-taking. We get curious about the why behind every request, and we say no when no is the right answer. - We work like owners, not clock-watchers. We care about outcomes, not hours. We take initiative, pick up the phone, and work obsessively on the problem in front of us. - CS is a revenue engine, not a cost center. We treat it as the growth engine of the company and pay for results. WHAT WE'RE LOOKING FOR - Communication above all. This is the number one predictor of success in this role. You overcommunicate by default with customers, your team, and me. You're clear in writing and on calls, you set expectations, and you never leave people guessing. - Curious, coachable, and low-ego. You're a fast learner who wants feedback, digs into the why behind every request, and gets better quickly. - Comfortable getting technical. You don't need to code, but you're the kind of person who enjoys taking a tool apart, figuring out how it works, and building something useful with it. - Strategic and commercial. You see usage and growth, not just tickets, and you're comfortable owning a number and an upgrade conversation. - Opinionated about customer experience. Good strategic advice needs well-formed views, so have them. - Self-directed. You take initiative, stay organized without being told, and run your own book without anyone managing your calendar. Calm under pressure. - Ideally 2+ years in a customer-facing role (CSM, account management) at a technical SaaS product. That's the preferred path, but if you have an unconventional work history and can articulate how that'll help you succeed in this role, I welcome you to apply - Fluent written and spoken English required. Able to work US Eastern hours (work starts at 8am) YOU'LL THRIVE HERE IF... - You're technical and love to build. - You're entrepreneurial. You treat your accounts like your own business and get energy from building from scratch. - You're a consultative problem solver. You dig into the why behind what a customer asks and recommend the right solution, even when it's not the one they came in asking for. - This sounds like fun to you: a customer wants to launch a complex, time-sensitive campaign across calls and texts, isn't sure how to structure it, and their team is stretched thin. You roll up your sleeves, map their goal to the product, and build it with them. - You thrive in a fast, evolving startup and you're excited to help build a customer success program from the ground up. ABOUT WHIPPY Whippy is a communication, automation, and AI agent platform. You reach customers across calls, texts, and email, at scale through personalized blasts and automated drips, with every message landing in one shared inbox. Replies get auto-assigned to a teammate, picked up by an AI agent, or carried forward by an automation. Once a conversation wraps, Whippy pushes the data you care about back into your systems in the exact format you need. It's true two-way dialogue on every channel that cuts the repetitive work and frees teams to focus on the human work that drives revenue, without adding headcount. We're industry agnostic, with our biggest wins so far in staffing, healthcare, and other in-person businesses going through digital transformations. We're bootstrapped, profitable, and growing fast, with over 1,000 businesses using Whippy worldwide. In staffing alone, we've helped firms cut screening costs by 95% and save over a million dollars a year. Whippy was founded in 2021 by CEO David Daneshgar and CTO Jack Kennedy. Jack is an engineering machine and a marathon runner. David started BloomNation in 2011 after winning $27,205 in a poker tournament, grew it into a platform generating billions in sales for florists, then left to build something bigger with Jack. Location Candidates based in Buenos Aires, Argentina are strongly preferred as we have a WeWork office in Vicente Lopez and are building toward an in-person team culture. Open to strong candidates anywhere in Latin America or U.S. EST hours required. Full English fluency required. Compensation Competitive compensation based on experience, including monthly performance bonuses, WeWork membership, and more. Hiring Process: 1. You submit your application and I'll review it. 2. A 45 minute call with me for us to get to know each other better. 3. You’ll receive a take-home assignment that will assess your technical and strategic skills. The assignment will be presented to me in an hour call. This is your chance to showcase your skills. 4. A 30 minute call with our CEO, David 5. A 30 minute call with our CTO, Jack

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 team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success Support customers building with the Claude API, Claude Code, and Claude for Enterprise Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend Build reusable blueprints, demos, and enablement assets that scale across customers Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: $240,000 — $315,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote - Canada Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $21 CAD p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design. WHAT YOU’LL DO - Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components. - Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets. - Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings. - CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies. - Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards. - Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures. - Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements. - Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.   WHAT WE'RE LOOKING FOR - BSME with 5+ years of relevant experience - Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields. - Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX. - Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018). - Experience transitioning designs from early concepts (NPI, EVT, DVT) to production. - Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures. - Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs. - Creative and collaborative thinking with a team-first mentality. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration. In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team! WHAT YOU’LL DO - Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world. - Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system. - Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains. - Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions. - Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots. - Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments. - Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.   WHAT WE'RE LOOKING FOR - 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go). - Experience developing time-sensitive, performance-critical applications. - Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC. - Experience with Linux build environments like Yocto or Buildroot. - Experience in building Linux kernels and modifying or writing device drivers. - Experience with NVIDIA’s Jetson platform is a plus. - Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus. - Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics. - Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams. - Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London. In this role, you will work on teaching our robots to manipulate the world around them. This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work). WHAT YOU’LL DO - Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment. - Come up with data preprocessing strategies to improve the quality of collected data. - Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world. - Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions. - Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators. - Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience. - Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs. WHAT WE'RE LOOKING FOR - 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. - Experience with neural network post-training. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. - Good familiarity with modern software engineering practices. - Ability to document experiments clearly and communicate trade‑offs crisply. Nice to have: - Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. - Experience applying RL to robotics problems. - Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.