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Location: United States Workplace: Remote We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells. WHAT YOU’LL DO - Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win - Lead or support post-sales relationships and renewals when needed - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings - Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks - Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery - Serve as the agency’s voice, routing insights to Engineering and Product - Log feature requests and issues in our public/private Git repositories - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks - Contribute pull requests to Coder’s documentation WHAT WE’RE LOOKING FOR - Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required - Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers - Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments - Strong customer-facing skills that win trust with technical stakeholders and program offices - Ability to translate technical hurdles into mission value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries - Startup-speed execution, ownership mindset, and a player-coach attitude WHAT SUCCESS LOOKS LIKE - You can walk into an ambiguous agency conversation, diagnose the real technical, security, and mission blockers, and design a proof-of-concept that proves value fast, even inside a classified network. - You translate deep technical fluency, including on agentic and LLM-based development workflows, into a business case that resonates with program managers, security officers, and mission owners alike. - Agencies leave your demos and PoCs with a clear, credible picture of how Coder fits their environment, their developers, and their AI agents, without compromising their security posture. - You are as invested in winning the account the right way as you are in closing the current deal; you spot risks early, whether technical, security, or procedural, and loop in the right people. - Your field experience feeds back into product and marketing, sharpening how Coder demos and sells into the public sector. BONUS TACOS - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools) - Prior military, intelligence community, or federal civilian service background - Experience with FedRAMP, DoD IL4/IL5, or ATO processes - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The world's engineers want to get the most out of Claude. At Anthropic, technical instruction already happens everywhere: our Applied AI and Forward Deployed Engineering teams teach customers and partners, and engineers across the company help others learn to build with Claude. Today that instruction is a shared responsibility, delivered alongside people's primary roles. As demand grows, we need to turn that distributed expertise into a dedicated technical instruction function. You will build that function. You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the classroom teaching engineers, architects, and other technical practitioners. You'll also build the people, standards, and systems that let Anthropic's technical instruction scale far beyond the people we directly employ. This is a player-coach role. From day one you manage a small bench of instructors. You set the bar for what "ready to teach" means, decide who is cleared to teach a given module in Anthropic's technical programs, and assess facilitators from our training partners against that bar. You're an engineer who teaches and a teacher who has led other teachers. You can build an agent live in front of a skeptical engineer, diagnose what isn't working in a technical lab, and make the material better. You can also watch an experienced instructor teach, tell them their session isn't ready yet, and coach them to get there. You will report to the Head of Technical Enablement. The role is based in San Francisco with some travel expected. Key responsibilities Lead from the front. Teach hands-on sessions to new Applied AI engineers, our field teams, and partner cohorts, in rooms from 12-person labs to 100-person training days. Build the instructor bench. Hire and develop instructors and curriculum developers. Decide contract renewals, and recommend conversions to full-time, against criteria you define. Set the quality bar. Own the observation rubric, dry-run protocol, and cleared-to-teach process for every instructor-led technical session. Scale through train-the-trainer. Set the bar the Lead Technical Instructor's train-the-trainer program teaches to, for internal experts, contract instructors, and partner facilitators. Turn expertise into instruction. Turn internal experts' content into sessions and labs that work in a live room. Enable programs without owning them. Staff other teams' programs with cleared instructors, and own the quality of instruction inside them. Measure and improve. Report learner pass rates per instructor each month, and act on them. Minimum qualifications 8+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles. 4+ years of hands-on technical instruction. You have taught engineers live and hands-on, across audience sizes. Production engineering. You have written and shipped production software and engage credibly with experienced engineers on architecture and debugging. Recent hands-on AI development. In your last three years of work, you have built or debugged applications with LLM APIs, agent frameworks, tool use, MCP, or similar. People leadership. You have managed instructors, trainers, developer advocates, or solutions engineers, including hiring and performance management, and kept teaching. Instructor development. You have designed or run a train-the-trainer program, instructor certification, or observation framework. San Francisco location. You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent. Preferred qualifications A portfolio of sessions you taught and a rubric or certification you designed, shared only if you have the right. Experience building an instruction or developer-education function from scratch. Experience managing a contractor instructor bench, or clearing instructors across regions from recordings or trained observers. Daily use of Claude Code or a comparable agentic coding tool, or building on Claude through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry. Deep enthusiasm for AI and real care about building it responsibly. 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: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s engineers are building some of the most ambitious AI systems and applications in the world. We also help engineers, architects, and technical practitioners across Anthropic, our partners, and our customers learn to build with Claude. Until now, technical instruction has largely been a shared responsibility. We are building a dedicated technical instruction function to make that learning exceptional and ensure that everyone who teaches in Anthropic’s technical programs meets a consistent, high bar. We are looking for a Technical Instructor Lead in New York to help bring that standard to life. About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones. The other half will be spent developing other instructors, running train-the-trainer programs, and improving the quality and consistency of technical instruction across programs. You are an engineer who teaches and a teacher who makes other teachers better. You can build an agent live in front of a skeptical staff engineer, diagnose a broken lab while a room of learners waits, and adapt when a lesson is not landing. You can also watch another instructor teach for ten minutes and identify the one change that will materially improve their next session. This is not primarily an instructional design or classroom facilitation role. You should be comfortable writing code, debugging technical systems, and teaching practitioners who may know more than you do about their particular domain. You will report to the Head of Technical Training. Key responsibilities Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones. Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth. Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes. Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content. Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room. Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards. Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development. Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality. Minimum qualifications 6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role. 3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not. Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs. Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly changing AI development tools and unfamiliar technical problems. Instructor development experience. You have helped other instructors or technical presenters improve through observation, structured feedback, practice teaching, or train-the-trainer programs. New York City location or willingness to relocate. You will work from our NYC office whenever an instructor-led program is in session there, typically around three days per week. The role includes approximately 25% travel to San Francisco and, over time, Europe. Preferred qualifications Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program. A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it. Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions. Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow. Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure. Experience with public speaking, conference workshops, or developer advocacy. Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly. 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: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Applied AI Research Engineer Applied AI Research Team, Applied AI About the role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge Travel occasionally to customer sites for workshops, implementation support, and research collaboration You may be a good fit if you have: 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed Strong technical aptitude with strong proficiency in at least one programming language Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems Experience designing evals, building prototypes, or developing technical enablement for complex products The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport 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: $300,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA - Remote Workplace: Remote 💫 This job description was written by a person   ABOUT US Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. ABOUT THE ROLE Our GTM org has a lot of questions. Most of the questions we care about can’t be answered by spinning up a cute dashboard. Is branded search creating new customers or capturing demand that already existed? Did the homepage redesign improve conversion, or did our traffic mix change? If we’ve got some wild ideas for our next bet, where should the money go? These kinds of big-picture questions require someone who can interrogate the metric, trace it through the warehouse, understand the business context, and turn it into action. This person will be our first Staff GTM Analyst. You’ll work alongside GTM leadership to make consequential decisions while still staying hands-on in the nitty gritty of all the data. The best part: the way we answer these questions is changing. Effective SQL is just a few tokens away, dashboards can be Claude-ed in minutes, and teammates increasingly expect to find their own answers. You’ll build the semantic layers, context, and guardrails that make self-service possible, even trustworthy, then determine where an analyst’s expertise is indispensable. YOU ARE - An experienced analyst. You have roughly 8 years of hands-on, highly technical analytics experience. Most importantly: you’re backed by the pattern recognition that comes with having seen all sorts of hairy problems. You’re at the point in your career where you can take an ambiguous business question, dive head-first into the data, turn your findings into a decision, and bring everyone else along with you. - A bridge between the technical and the business. You can build a model in dbt, work directly in Snowflake, and translate it into something actionable. You’ll partner closely with our Lead Analytics Engineer but you need to be willing and able to dive in and self-serve. - Fluent in the quirks of GTM data. Attribution, channel definitions, UTMs, bots and broken tracking are known quantities. You don’t need to have been a dedicated GTM Analyst, but you should certainly know your way around this part of the business. - Pushing the boundary of what AI means for analytics. AI is writing your first-draft SQL, analysis, and reporting and you’ve shifted that energy to bringing analysis into the future: building the semantic layers, context, and guardrails that let the team self-serve trustworthy answers. - A trusted cross-functional leader. Teammates across functions and levels listen to you. You immerse yourself in the context of their needs and bridge gaps in understanding. - Fiercely independent and accountable. You welcome a vague ask with aplomb. You’ll scope the problem, find the dependencies, bring in the right people, and drive the work through the analysis, recommendation…all the way to a fix. - More concerned with impact than output. A polished dashboard is useful only when it changes what we do. You prioritize the questions that can materially improve acquisition, conversion, retention, and revenue. YOU WILL - Make our GTM data trustworthy. You’ll define metrics, model the funnel from first touch through paid conversion, and reconcile discrepancies across Snowflake, Segment, Amplitude, GA4, and our ad platforms. - Explain what we’re seeing. Why are trials up while paid conversion isn’t? Why are Snowflake and Amplitude disagreeing? Which channel is driving volume but producing low-quality customers? You’ll dig into the data until we understand what changed and why. - Help decide what to do next. Are we on track to hit our goals? What would another investment in paid media produce? You’ll forecast, model the tradeoffs, and empower leadership to make the best possible decision. - Own the outcome. Whether you uncover something small like broken campaign tracking or you’re focused on moving a major business metric, you’ll bring in the right people and shepherd the team to the data-driven outcome. - Define the next era of Data at Close. You’ll help us move from a queue of reactive requests to a system where an agent spots changes, assembles the context, and gets the right insight to the right person at the right time. BENEFITS - Compensation: Competitive pay plus an organization-wide goal-based bonus - Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. - 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay - Parental Leave: Paid leave for primary and secondary caregivers - Sabbatical: A 1-month paid sabbatical every 5 years with the team - Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability - 401k (US residents): We match your contributions up to 6%, vested immediately OUR VALUES Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others LEARN MORE Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.  Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo https://www.close.com/demo-site! OUR HIRING PROCESS We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide. Our Tech-Stack We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack: - Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation. - Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React. - Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native. - Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.     THE DAY-TO-DAY 🛠️ - Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack. - Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes. - Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions. - Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output. - Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams. - Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results. - Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.   YOUR SUPERPOWERS ⚡ - Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues. - Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency. - AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output. - Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing. - DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices. - Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs. - Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: Paris; Amsterdam; Singapore; London; Lausanne Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints. This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others. Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply. WHAT YOU WILL DO - Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”. - Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment. - Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility. - Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions. - Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale) - Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …) - Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements. ABOUT YOU - Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). - Hands‑on experience with PyTorch, JAX, or similar. - Strong systems and infrastructure fundamentals. - Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines. - Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures). - Clear communication with technical and non‑technical stakeholders. - High agency, low ego, and comfort in fast‑moving, under‑specified environments. NICE TO HAVE - Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). - Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). - Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines. - Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation. - Open‑source contributions, publications, or widely used internal tooling. - Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets. - Ability to identify bottlenecks across the stack and drive improvements from first principles. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Ontario Workplace: Remote Must be CST or EST The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth. As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration. In this role, you'll: - Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering. - Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations. - Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing. - Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes. - Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions. - Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds. - Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective. - Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist. We're looking for candidates who have: - 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers. - Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk. - Comfortable operating in an ambiguous, transformation-in-progress environment. - Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc. - Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time. - Data-first orientation focused on data architecture and flow - Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment. - Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT. - Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures. - Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure. Nice to have experience: - Modern AI-centric engineering workflows and practices. - Experience with Model Context Protocol (MCP) and building autonomous AI agents. - Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents. - Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority. - Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level. Technologies we use: - Python, Node.js - AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM) - Workato, Fivetran - Databricks, Airbyte - Terraform - Git, Github - Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive - LiteLLM, Claude Code AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - USA Workplace: Remote Must be CST or EST The Engineering and Business Systems team works collaboratively across Chainalysis’ Business Automation, Data and Systems organization to ensure that core business systems and platforms enable business policies and operational processes. Our job is to empower employees to do their best work by building the foundational systems and data products that drive business decisions and processes while accelerating Chainalysis’ growth. As the Director, Business Systems & Platform Engineering, you’ll be at the forefront of positioning our technical teams to thrive in an AI-driven shift to headless, API and MCP-driven business systems architectures. You’ll own the integrated technical roadmap for building out the technology architecture as well as the underlying administration and engineering practices. The ideal candidate brings strong software and data engineering leadership depth and can ramp quickly on the GTM and Finance systems domain. The role will lead a small organization that encompasses platform engineering, data engineering, integration engineering and systems administration. In this role, you'll: - Lead the systems and engineering org through a shift from a traditional IT and admin-centric org to one centered around platform and data engineering. - Own the technical architecture, design, and delivery roadmap across business systems, enterprise data and integrations. - Directly manage and grow systems and engineering-track managers and direct reports including technical mentorship and career pathing. - Collaborate with team members to establish and codify standards, style guides, workflows, ceremonies and other engineering and systems practices into a single, coherent operating model that leverages AI and agentic processes. - Partner with colleagues in Product, Success and Program Management to prioritize and deliver the BADaS roadmap by translating business, process and product requirements into technical scope, staffing, and sequencing decisions. - Act as the internal technical counterpart to vendors and partners, including reviewing architecture proposals, approving technical designs, and owning technical builds. - Own security, RBAC, and data-governance posture of BADaS platforms, especially from an audit and access-control risk perspective. - Partner with engineering leaders across Chainalysis on best practices and to leverage platforms, components, solutions and code-bases that already exist. We're looking for candidates who have: - 8+ years of experience in software, platform, or data engineering, including 4+ years managing engineers and engineering managers. - Strong organizational leadership: hiring, career pathing, and building succession depth across a multi-manager org that currently has real single-point-of-failure risk. - Comfortable operating in an ambiguous, transformation-in-progress environment. - Demonstrated ownership of team-based technical architecture and engineering practices: repo management, CI/CD, code review standards, test/regression discipline, etc. - Experience managing a technically mixed org (engineers, data engineers, and platform/systems administrators) and successfully raising the technical bar of the admin-facing work over time. - Data-first orientation focused on data architecture and flow - Strong working fluency in modern, event-based, service-oriented architectures using server-side JavaScript / TypeScript / Node.js http://node.js within a primarily serverless AWS environment. - Deep experience with REST / GraphQL API architectures, relevant authorization strategies including OAUTH and JWT. - Familiarity with data engineering fundamentals and infrastructure including SQL, Python, dbt / data modeling, pipeline orchestration, batch vs near-real time ETLs and reverse ETLs, medallion architectures. - Experience with IaC platforms (e.g. Terraform) for DevOps and cloud infrastructure. Nice to have experience: - Modern AI-centric engineering workflows and practices. - Experience with Model Context Protocol (MCP) and building autonomous AI agents. - Hands-on experience with graph theory and databases, especially as a context layer for Ai co-pilots, workflows and agents. - Track record of managing vendors and implementation partners on a complex platform build, including technical design review and sign-off authority. - Experience with enterprise SaaS platforms used in GTM and/or Finance (e.g. Marketo, Salesforce, NetSuite, Nue, Salesforce Revenue Cloud Advanced, Conga and DealHub) at an architectural and API level. Technologies we use: - Python, Node.js - AWS (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM) - Workato, Fivetran - Databricks, Airbyte - Terraform - Git, Github - Salesforce, Netsuite, Workday, Marketo, Clari, Adaptive - LiteLLM, Claude Code AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote Workplace: Remote We are looking for a Senior Golang Engineer to contribute to the development of high-load, business-critical backend systems within the betting domain. This role requires strong hands-on Go expertise, a deep understanding of backend engineering principles, and the ability to work with complex distributed environments where performance, reliability, and data integrity are essential. Responsibilities: - Build and evolve scalable backend services in Go, focusing on system performance, stability, and maintainable engineering solutions - Contribute to key technical decisions around application architecture, infrastructure, and the long-term evolution of backend systems - Develop clean, well-structured, and testable code while maintaining strong documentation and engineering standards - Participate in peer code reviews, providing technical feedback and helping maintain consistent development practices across the team - Work with complex data flows and backend components, ensuring reliable processing and high standards of data integrity - Collaborate with other engineers throughout the development lifecycle, contributing to technical discussions, estimation, planning, and delivery within a Scrum environment - Take ownership of assigned development activities and independently organize day-to-day work in line with broader team priorities Requirements: - Strong senior-level engineering background with 7+ years in commercial software development, including 4+ recent years focused primarily on Go - Proven track record of building backend solutions specifically for betting products — relevant industry experience is essential for this role - Advanced knowledge of how Go works under the hood, with confidence working with concurrency, data structures, memory allocation, and garbage collection - Solid database engineering skills, including extensive work with relational databases and the ability to troubleshoot, tune, and improve sophisticated SQL queries - Comfortable working in Linux-based environments, with practical knowledge of containerization using Docker - Production experience with Kafka and Kubernetes as part of modern backend infrastructure - Quality-focused engineering approach, with the ability to design code for testability and maintain reliable unit test coverage - Intermediate English combined with Upper-Intermediate Russian for effective day-to-day communication Would be a plus: - Background in financial, transactional, or similarly data-sensitive systems, where accuracy and consistency of information are business-critical - Experience designing or contributing to distributed, microservice-based systems - Knowledge of architectural practices such as Domain-Driven Design (DDD), Clean Architecture, or Hexagonal Architecture - Previous hands-on work with PostgreSQL and ClickHouse What's in it for you: - Private health insurance and sports-related benefits - Paid time off and maternity leave support - Free language courses - Professional development through upskilling opportunities, internal workshops, and participation in industry conferences - Referral program with additional rewards - Access to professional networking opportunities and corporate events

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 Head of Delivery to join our Executive team based in London. In this role you will lead operational execution across the company. This role will ensure that company goals, strategic initiatives, and project timelines are clearly defined, tracked, and delivered. The Head of Delivery will act as the central operational owner of execution, maintaining visibility across all key projects and ensuring alignment between leadership, engineering, product, and operations. The ideal candidate is a highly detail-oriented operator who thrives in complex technical environments and can bring structure, clarity, and accountability to fast-moving teams. WHAT YOU'LL DO - Own and maintain the company-wide execution framework, including roadmaps, delivery plans, timelines, and milestones. - Ensure all company initiatives and projects are tracked in a single operational system with clear ownership and deadlines. - Drive cross-functional alignment between engineering, product, and leadership teams. - Monitor project progress and proactively identify and resolve delivery risks and operational bottlenecks. - Provide operational oversight and guidance to project managers across teams. - Implement and continuously improve program management processes, reporting, and execution standards. - Maintain clear visibility of progress and risks for leadership. Ensure strategic plans are translated into clear, actionable delivery plans. WHAT WE'RE LOOKING FOR - Strong experience leading complex cross-functional programs or delivery functions. - Exceptional operational discipline and attention to detail. - Ability to structure and manage multiple projects simultaneously in a fast-moving environment. - Experience building operational systems, planning frameworks, and execution processes. - Strong communication and stakeholder management skills. - Ability to work closely with leadership and translate strategy into execution. - Comfortable operating in highly technical environments with engineering teams. NICE TO HAVE - Experience working in robotics, AI, or hardware companies. - Background as a founder or co-founder, or early-stage operator in a startup environment. - Experience scaling delivery or program management functions in deep tech organizations. - Familiarity with complex hardware + software development cycles. 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: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE: The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that: - Developers can effectively identify and resolve slowdowns and errors in their applications. - Development teams increase developer productivity and customer satisfaction. IN THIS ROLE YOU WILL - Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value. - Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product). - Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices - Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption. - Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered. YOU’LL LOVE THIS JOB IF YOU - Enjoy talking about technology and interfacing with engineers and engineering leaders. - Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. - Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.). - Have a fast-paced, results-driven mindset. - Love developer tools, open-source, and/or all things software development life cycle! QUALIFICATIONS - 8+ years of experience, with some mixture being Software Engineering and Solutions Engineering/ImplementationB - Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc. - Possess excellent communication and presentation skills. - Problem solver, knowledgable, and can-doer The salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 to $240,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote; Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, we’re looking for a Talent Brand Manager to shape how current and prospective team members understand what it means to work here. You’ll bring GitLab’s employer value proposition to life through storytelling, recruitment marketing, candidate education, and experiences that connect our external reputation to our internal culture. You’ll partner across GitLab to turn talent brand strategy into campaigns and content throughout the candidate journey. This role is a strong fit for a brand, recruitment marketing, employer brand, or content professional who can move between strategy and execution. You’ll use editorial judgment, data, and cross-functional collaboration to create clear, inclusive, and authentic candidate experiences. What You’ll Do Translate GitLab’s employer value proposition and company direction into clear, differentiated, and authentic candidate-facing messaging. Deliver integrated talent brand campaigns across careers content, social media, employer review platforms, talent communities, events, and recruiter channels. Develop and curate stories featuring team members, leaders, teams, culture, values, career growth, and the impact of working at GitLab. Partner with Talent Acquisition to create targeted content and campaigns that support hiring priorities, pipeline generation, and conversion. Improve candidate journey touchpoints with transparent, consistent, and relevant information throughout the hiring process. Use content, channel, candidate feedback, and funnel metrics to improve performance and communicate impact. Collaborate across GitLab to ensure content is accurate, inclusive, culturally relevant, and aligned with our voice. Manage projects and external partners while improving talent brand processes, systems, reporting, and operations through iteration and thoughtful use of technology and artificial intelligence tools. What You’ll Bring Experience in talent brand, employer brand, recruitment marketing, content strategy, communications, or a related field. Experience translating a brand or employer value proposition into content, campaigns, or audience experiences. Strong storytelling, writing, editing, and editorial judgment across multiple channels. Experience planning and delivering campaigns or programs with multiple stakeholders, dependencies, and deadlines. Comfort using performance data, audience insights, feedback, and market research to improve outcomes. Experience influencing across functions and working with senior stakeholders, subject matter experts, creative partners, or vendors. Ability to manage ambiguity, prioritize competing work, and move from strategy to detailed execution in an asynchronous environment. A commitment to inclusive, transparent storytelling, alignment with GitLab’s values and remote working practices, and applicable work authorization. About the team The GitLab Talent Brand team helps candidates understand what it means to work here through marketing, storytelling, partnerships, candidate education, and recruiter enablement. We evolve GitLab’s employer narrative, strengthen regional presence, improve talent content and platforms, support targeted attraction, and use data to understand our impact on candidate engagement and hiring outcomes. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote; Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Talent Brand Manager, you'll shape how current and prospective team members understand what it means to work at GitLab. You'll bring our employer value proposition to life through talent brand strategy, recruitment marketing, and integrated campaigns across the candidate journey. You'll combine editorial judgment, performance data, cross-functional influence, and artificial intelligence tools to create clear, inclusive, and authentic candidate experiences. What You’ll Do Lead GitLab's talent brand strategy, translating our employer value proposition and company direction into clear, differentiated candidate messaging. Design integrated campaigns and build scalable content systems, recruiter resources, reporting, event support, and campaign operations across careers content, social media, employer review platforms, talent communities, events, and recruiter channels, using technology and artificial intelligence tools. Set editorial direction and align cross-functional partners and contributors on authentic stories featuring team members, leaders, teams, culture, values, career growth, and the impact of working at GitLab, ensuring accurate, inclusive, culturally relevant, and consistent talent brand work. Advise Talent Acquisition and business leaders on audience strategy and campaigns that support hiring priorities, candidate pipelines, and conversion. Improve candidate journey touchpoints so candidates receive transparent, consistent, and relevant information throughout the hiring process. Use performance data, audience insights, candidate feedback, and talent market and channel trends to set priorities, evaluate results, recommend new approaches, and communicate impact. What You’ll Bring Significant experience in talent brand, employer brand, or recruitment marketing. Experience developing and leading brand or recruitment marketing strategies across multiple audiences, regions, or hiring priorities. Strong storytelling, writing, editing, and editorial judgment across multiple channels. Experience leading complex campaigns with multiple stakeholders, deadlines, budgets, or external partners. Strong analytical judgment and experience using data, audience insights, feedback, and research to improve outcomes. Ability to influence senior stakeholders, create structure from ambiguity, and move between strategy and execution in an asynchronous environment. About the team The Talent Brand team sits within GitLab's People Group and partners with Talent Acquisition, Marketing, Corporate Communications, Social Media, Diversity, Inclusion & Belonging, and leaders across GitLab. In this role, you'll help set the team's direction, strengthen GitLab's employer narrative and regional presence, support hiring priorities, improve candidate experiences, and use data to extend the impact of a small, focused team. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B sectors, including FinTech, HealthTech, and manufacturing. With a focus on the UK, Europe, and North America, the team utilizes a proprietary "Selling at a Higher Level" methodology to help global brands bridge the gap between initial interest and closed-won revenue. By combining native-language expertise with a cutting-edge sales technology stack and AI-driven training tools, they provide scalable SDR solutions that deliver measurable ROI for mid-market and enterprise organizations. The team culture blends start-up energy with enterprise-level maturity, fostering an environment where data-driven insights and consultative selling thrive. They are dedicated to professional development, utilizing a structured competency framework to empower team members to navigate long, high-value sales cycles. For candidates looking to make a tangible impact on global business growth, this company offers a collaborative, performance-oriented environment centered on innovation and sales excellence. Job Type Full-time Job Summary We are seeking a high-energy Sales Development Representative to act as the frontline ambassador for one of the world’s most prestigious brands in medical technology: Siemens. Working within a well-established consultancy with 15 years of sales excellence, you will be responsible for identifying and qualifying opportunities within hospitals and private clinics across the UK. This is an elite opportunity to master a sophisticated sales methodology while representing a global leader in healthcare innovation. Key Responsibilities Conduct approximately 50 targeted outbound calls per day to key decision-makers in the healthcare sector. Consistently generate 10+ high-quality outbound opportunities per month to maintain a healthy sales pipeline. Manage all lead generation activity and data integrity through Salesforce. Execute a strategic outreach process based on established, proven methodologies. Collaborate with senior team members to refine messaging and penetrate complex accounts. Requirements Proven experience in a proactive outbound sales or lead generation role. UK-based with the ability to work standard UK business hours. Exceptional communication skills with a professional, affable, and persuasive phone manner. High level of coachability and a desire to continuously improve sales techniques. A determined mindset with the resilience to thrive in a high-activity environment. Nice to Have Prior experience selling medical equipment or software into the healthcare industry. Familiarity with the NHS and private clinic procurement landscape. Proficiency in using Salesforce for pipeline management. Compensation & Incentives Competitive contractor compensation. £200 incentive when target is achieved. £500 incentive for overperformance against target. Additional performance-based incentives may apply. Benefits 💰 Competitive base salary 🎯 Performance-based incentives (£200 for hitting target; £500 for overperformance) 🌎 Fully remote work environment (Work from anywhere) 🚀 Clear progression paths into Team Lead and Management roles 📈 Long-term stability within a mature, 15-year-old organization 🎓 Access to industry-leading sales training and established processes

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic’s Infrastructure organization is responsible for the systems that train our models, serve our products, and support our engineering teams. That includes datacenter operations, capacity planning across cloud providers and our own facilities, accelerator cluster management, production serving infrastructure, developer tooling, data pipelines, and networking. It’s a lot of surface area, and the demands on it are growing fast. We’re hiring a TPM leader to own program management across this whole ecosystem from compute provisioning through to production workloads. We’re bringing up new datacenters, scaling multi-cloud compute across AWS, GCP, and Azure, managing datacenter construction, and building the software infrastructure to keep pace. The team is growing very quickly, and we’re looking for a senior leader with experience at scale to build and scale this team to support Anthropic’s rapid growth. You’ll report to the Head of TPM, partnering closely with various engineering leaders on technical strategy, roadmapping, and aligning TPM support where it is most impactful. You’ll personally drive 2–3 critical programs while leading your teamin parallel. This is a role where you need to be comfortable doing the work yourself before you can hand it off. What you'll do: IC Program Leadership Own and drive 2–3 of the highest-priority programs across infrastructure while you build the team Run the actual programs—datacenter bring-up timelines, capacity scaling plans, infrastructure migrations, cross-team reliability efforts, or whatever the most pressing needs are Build the processes and playbooks as you go—figure out what works by doing it, then codify it for the team Earn credibility with engineering leads through solid execution, not just strategy Team Building & Development Set the standard for what good TPM work looks like in this domain through your own output Coach and develop TPMs Transition programs to your team as you hire Grow the team with excellent TPMs by defining roles, writing JDs, sourcing candidates, and closing hires Planning & Prioritization Work with various engineering leads to identify work that would most benefit from TPM support Make real tradeoffs about what to staff vs. what to skip given limited TPM capacity during the build phase Maintain portfolio-level visibility across programs—status, risks, dependencies, blockers Represent the team in planning cycles and leadership reviews Cross-functional Coordination Coordinate across Infrastructure and partner teams (Research, Product, Security, Finance, Legal) on programs that span organizational boundaries Drive alignment on programs that cross the hardware/software line—e.g., capacity plans that feed into training schedules, or efficiency work that spans accelerator kernels and serving systems Own executive communication on program status, risks, and resource needs You May Be a Good Fit If You: Have 10+ years of experience in technical program management, with 7+ years directly managing TPMs and ideally some experience leading larger TPM organizations Have built a team or function from scratch before—you know the difference between hiring for a defined role vs. figuring out what the roles should be Have scaled TPM teams to support rapidly-growing, fast-moving company environments Have worked across physical and software infrastructure—datacenters, networking, hardware ops, distributed systems, cloud platforms, developer tooling. You don’t need to be deep in all of it, but you need to be conversant enough to ask the right questions and spot the real risks. Have run large-scale compute or infrastructure programs—capacity planning, cluster deployments, datacenter build-outs, cloud migrations, or similar Can communicate complex programs clearly to senior leadership without losing the important details Are good at context-switching between doing the work and managing people, and don’t see the IC work as beneath you Are comfortable making staffing and prioritization decisions without perfect information Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $565,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Toronto; San Francisco; London; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Engineer you will: - Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues - Lead security operation functions – including vulnerability management, SAST, DAST, detection engineering, and incident response – in CI/CD and cloud-native production environments - Integrate security into our applications throughout the software development lifecycle - Collaborate with product and development teams, driving the success of larger projects to ensure that software is built and deployed securely without compromising agility and speed - Driving and supporting bug bounty program, application security reviews and threat modeling, including code review and dynamic testing - Assess and integrate security tools to automate and scale security processes, i.e: evaluate open-source vs vendor solutions - Gather and analyze security metrics to address security issues with cross-team dependencies - Be a problem solver who is empathetic to developer concerns and will employ constructive and flexible approach to building innovative solutions You may be a good fit if: - 5+ years previous experience in Application/Product Security or Security Operations with a strong focus on security tool onboarding and optimization - You have an understanding of vulnerability management, network security, cloud security concepts, and industry best practices across many fields of security - You are comfortable with ambiguity and are able to make informed decisions with little data - You employ a flexible and constructive approach when solving problems - You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available - You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences - You have a deep technical understanding of common security vulnerabilities and risks, as well as countermeasures and compensating controls - You’re a hands-on security engineer interested in automating controls FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States; Canada Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We’re seeking an experienced Technical Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture. As an Engineering Program Manager/ Technical Program Manager, you will: - Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners. - Optimize: Break down complex issues into strategies, driving engineering alignment with product, business, and marketing while fostering collaboration. - Plan: Create and manage program/project schedules, identify dependencies, manage risks, and drive organizational alignment. - Execute: Ensure on-time delivery, identify development needs, and establish checkpoints for status updates. - Problem solve: Proactively identify and resolve issues, coordinate cross-functional dependencies, and prioritize impacts to schedule and product quality. You may be a good fit if: - You have at least 5 years of experience as an Engineering or Technical Program Manager, with at least 2 years in customer-facing technical delivery and operations focused on enterprise-grade AI software/solutions - Knowledge or experience with LLM training or optimization would be a key differentiator - You are problem-focused and making customers successful really excites you - You are detail-oriented and extremely self-organized. You love enabling people and teams around you, and are excellent at capturing detailed notes/action items during highly technical meetings and tracking progress. - You have a Bias for Action - you are very execution focused and you like getting things done. - You have experience working with cross-functional teams to get technical products, services or solutions shipped to an internal or an external customer and can independently own tracking and reporting across multiple work-streams, with owners in different time-zones. - You are comfortable holding leaders and individual contributors accountable. You can be assertive while remaining diplomatic. You are not afraid to follow up with people to ensure shipping within committed deadlines. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.