Вакансии

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We are looking for a SOC Engineer to join our Security Operations team and help defend a fast-moving, cloud-native AI vibe-coding platform. In this role, your primary mandate will be building and evolving our security data lake, engineering reliable security telemetry, and owning high-fidelity detection engineering end-to-end. You will unify cloud, identity, endpoint, and application telemetry, staying on top of emerging threats to rapidly build and tune detections across our environment. Alongside this data and detection mandate, you will support incident investigations as needed to translate real-world threats into stronger automated defenses. This is a hands-on engineering role requiring strong technical depth, understanding of modern software engineering and CI/CD systems, familiarity with cloud-native infrastructure (especially GCP), and expertise in security data pipelines and detection workflows. What You'll Do: - Security Data Lake & Detection Engineering: Architect, expand, and maintain our security data lake while designing, testing, and tuning custom detection rules to maximize threat coverage and minimize noise across our cloud-native stack. - Threat Awareness & Rapid Assessment: Continuously monitor emerging threats (0-days, bad actor activity, public exploitation campaigns, bug bounty reports, customer security issues) and rapidly assess their applicability to Replit's infrastructure, SaaS services, internal tools, and platform components. - Investigation & Impact Analysis: Conduct targeted investigations to determine impact, analyze logs, telemetry, and system behaviors using SIEM, metrics, and Cloud Logging and identify gaps in detection/visibility. Required Skills & Experience: - Building and evolving the security data lake, unifying cloud, identity, endpoint, and application telemetry; hands-on experience with SIEM, Cloud Logging, and log-based investigation workflows. - Engineering reliable security infrastructure and automation using infrastructure-as-code to close visibility gaps and perform log-based investigations. - Proven expertise in detection engineering end-to-end, specifically developing, testing, and tuning custom detection rules to maximize threat coverage and reduce noise across complex environments. - Strong understanding of software engineering fundamentals (code structure, build systems, dependencies, package ecosystems). - Understanding of CI/CD pipelines and DevOps workflows. - Solid knowledge of cloud architecture, especially Google Cloud Platform (GCP) services in modern cloud-native deployments. - Familiarity with SaaS architectures, identity systems, and integration patterns. Bonus Qualifications: - Experience with threat intelligence, security research, or vulnerability analysis. - Familiarity with Kubernetes, containers, serverless infrastructure, or modern distributed systems. - Ability to write scripts or small tools for investigation or automation (Python, Go, Bash). - Experience working with bug bounty programs or coordinated vulnerability disclosure workflows. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available location: Singapore Cloudflare is one of the most dynamic and innovative companies providing services on the Internet. Regulation of the Internet is exploding -- across a number of subject areas and jurisdictions -- at a rate previously unseen in the history of the Internet. We’re looking for a new team member who can help foster and promote our corporate philosophy and approach, in which the security and privacy of our customers are paramount. We are looking for an exceptionally talented and energetic person to join our Public Policy team in Singapore, with a strong background in India policy. You will work on some of the most complicated and rapidly evolving policy issues in the world, such as content moderation, user privacy, and intermediary liability, and you’ll help us develop and communicate real-world solutions to addressing these challenges. You will also build and run programs that further Cloudflare’s reputation and standing in the region by partnering with governments, trade bodies, and civil society organisations. This person has a deep understanding of technology as well as regulatory environments. The ideal candidate can seamlessly go from a technical conversation with engineers to a high-level discussion with regulators and policymakers regarding where Cloudflare fits in the Internet stack. This person should be an expert at presenting technical topics at a level any audience will be able to understand. This role has non-standard working hours. Responsibilities Engage with policymakers, regulators, trade associations, industry partners, civil society groups and others in India and across the APJC region, to educate stakeholders on Cloudflare’s trust & safety processes and policy positions. Lead programs and advocacy campaigns that showcase our policy principles  to demonstrate what a better Internet looks like in practice. Develop talking points, policy narratives and presentation materials for use at external events and meetings and for other communication purposes (company blog, position papers, etc.). Coordinate with cross-functional teams to address government and law enforcement requests, as appropriate. Provide timely updates to colleagues from the Cloudflare Public Policy, Legal, Trust & Safety Teams and other internal stakeholders. Minimum Qualification Bachelor’s degree or preferably master's degree in public policy, law, economics 8+ years of related experience handling law enforcement matters at a large technology company and experience handling public policy issues. Strong understanding of the Indian political, regulatory and legal system and protocols, particularly as they relate to digital services. Experience in designing, running, and managing stakeholder, community, or partnership programs and events (for example, workshops, hackathons, or training programs) Ability and willingness to work off hours, including weekends and holidays, to support emergency matters and interact with globally-based company employees Right to work in Singapore, or eligibility and willingness to relocate to Singapore Ability to analyze technical data and present to a less technical audience An ambitious mindset that enables you to successfully work independently with little guidance, but also to use good judgment and escalate / call out issues when needed. A sense of humor. Preferred Qualification Knowledge of Cloudflare products and the broader technology industry, including security, networking, Zero Trust, and AI services. Experience in reviewing, processing, and tracking legal documents, particularly in India (e.g., civil and criminal subpoenas, court orders, and search warrants, and legal notices under Indian law) Willingness to travel to India and elsewhere in the region. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Jamaica; Morocco; Costa Rica; Dominican Republic; Argentina; Mexico 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. Role Type: Full-time Job Summary We are looking for a high- energy , resilient Sales Development Representative to help us transform how law enforcement agencies operate. In this role, you will be the engine of our growth, reaching out directly to command staff and public safety decision-makers across the United States. Your mission is to break through the noise, uncover critical pain points in public safety, and schedule qualified discovery calls for our sales team. This is a vital position for someone who thrives on the hunt and wants to make a tangible impact on community safety through innovative technology. Key Responsibilities Conduct high-volume outbound cold calls to law enforcement command staff and public sector decision-makers. Navigate complex organizations to get past gatekeepers and reach the right stakeholders. Articulate the product’s value proposition clearly and qualify prospects based on interest, pain points, and buying authority. Schedule qualified discovery calls and product demonstrations for the Account Executive team. Execute multi-channel outreach strategies, including targeted email and LinkedIn engagement. Maintain rigorous data integrity by logging all activities in the CRM and consistently meeting weekly call and meeting targets. Requirements Proven experience in outbound cold calling (SDR, BDR, or similar tele-sales roles). Exceptional fluency in spoken and written English with a professional phone presence. Ability to work consistently during US business hours from a location outside the US. A reliable, high-speed internet connection and a dedicated, quiet workspace. A self-starter mindset with the persistence to handle high-rejection environments. Previous experience calling into law enforcement, government, public safety, or similar public sector industries. Experience selling software or SaaS solutions. Familiarity with public sector procurement processes and long-term buying cycles. Hands-on experience with CRMs, automated dialers, and sales engagement platforms. Benefits 💰 Competitive base salary 🎯 Performance-based incentives 🌎 Fully remote work environment 📈 Long-term stability 🚀 Career growth opportunities 🎧 Professional and supportive sales culture

Location: Limassol, Cyprus INEX is a forward-thinking real estate development company focused on delivering high-quality residential and commercial projects across Cyprus. With a reputation for excellence in design and execution, we are growing our team with professionals who share our drive for innovation, precision, and delivery. We are hiring a Foreman for Limassol office Fit-out projects to coordinate and supervise construction works on site, ensure smooth interaction between workers, clients, and internal departments, and provide timely reporting on progress and completed works. Key Responsibilities Daily coordination and communication with stakeholders and on-site workers Working closely with the Procurement / Supply Department Ordering construction materials for the site and tracking deliveries Supervising construction works on site and controlling work quality Planning, monitoring, and updating work schedules Receiving materials on site and organizing proper storage Monitoring progress and ensuring works are completed according to schedule Providing regular updates on completed works Communicating progress and issues via work chats and messaging tools Preparing work completion acts Preparing and coordinating closing documents and ensuring they are signed by the customer Requirements Proven experience as a Site Supervisor / Foreman Good understanding of construction processes and site operations Ability to manage site workflow and priorities Strong organizational and communication skills Responsibility, attention to detail, and ability to work independently on site Ability to maintain regular reporting and documentation English or Russian required (Greek is a plus) We offer: Сompetitive salary and bonus Professional international team Opportunity for growth and development 21 days paid vacation per year 5 extra days of paid sick leave per year Public holiday in accordance with the Cyprus Public Holiday list Interested candidates are requested to send their CV quoting the above job title to the following email address: hr_cyprus@inex-group.com All applications will be treated in strict confidence and in compliance with GDPR and our privacy policy.

Location: Ukraine Partner One is a leading investment group with a 30-year history of acquiring and growing successful software companies. Trusted by over 2,000 of the world’s largest corporations and governments, Partner One owns some of the fastest-growing enterprise software companies globally. Partner One is looking for an Investment Associate to join the team. The Investment Associate will be part of the Mergers and Acquisitions team and will be responsible for supporting activities related to due diligence and the execution of acquisitions. Responsibilities Conduct overview and analysis of commercial and financial data of acquisition targets. Formulate and present the assessment of the acquisition targets’ initial fit. Conduct market research to understand industry trends and recognize new acquisition opportunities. Identify software businesses that meet our acquisition criteria and metrics, and move opportunities through the deal cycle. Support the M&A team with various ad hoc tasks related to the closing of live deals. Collaborate and coordinate with cross-functional teams on data requests, information sharing, project team meetings, and deal execution. Requirements Between 3 and 7 years of experience in one or more of the following areas is required: Transaction advisory services, including Quality of Earnings and Quality of Revenue engagements Buy-side financial due diligence advisory Public accounting / external audit serving technology or software companies Corporate development, FP&A, or finance at software or SaaS businesses Revenue accounting and operations at software or SaaS businesses Controllership / accounting operations at software or SaaS businesses Business operations or strategic finance at software or SaaS businesses Strong experience analyzing and evaluating software and SaaS companies Working knowledge of US GAAP and IFRS accounting standards and policies. Demonstrated strong academic performance at a top-tier institution. Degree in Finance, Accounting, or a related business field; CPA or CFA track is a significant plus. Maturity and presence to interact effectively with C-level executives. Availability to work half of each day in alignment with the business hours of our North American office. Self-starter with strong sales and communication skills. Strong command of written and spoken English. Strong analytical and Microsoft Suite skills, with a high attention to detail.

Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Our Sales team needs a dedicated data partner, and creator commerce https://kit.com/features/commerce (how creators monetize by selling digital products) is becoming a bigger part of how Kit and our creators scale. Kit is growing, so we're looking for a Senior Analytics Engineer to own Kit's sales and commerce data from end to end. Accurate sales data gives our team a clear picture of the pipeline and the confidence to make informed decisions. That’s what makes this role so important. Your primary focus will be Sales: the dbt models that turn our CRM data into trusted pipeline, deal, and funnel metrics, and the Omni dashboards our sales leader and Senior Revenue Operations Manager use to run the business. You'll also model creator commerce data, so we understand what creators sell and earn through Kit, and you'll pick up reporting work with our Product team, such as feature usage reporting. On a small data team, we step outside our usual lanes when the need is there, so the mix will shift over time. You'll build for two kinds of consumers: people and AI. Teammates increasingly answer their own questions by querying our semantic layer through Omni's AI and MCP connections to AI tools. That means your models, metric definitions, and documentation need to be clear and correct enough for an AI agent to use them without a data teammate in the loop. This is a full-time individual contributor role for someone who likes being close to the business, enjoys turning messy operational data into numbers people trust, and is happy to work on both the models and the dashboards that sit on top of them. When Sales and Product have clear, reliable data, we help more creators build more valuable businesses with Kit.   YOUR SUPPORT SYSTEM You'll report to Sam Umachi, Head of Data (Linkedin https://www.linkedin.com/in/samuelumachi/). Sales and RevOps are your primary partners, who will rely on the models and reporting you own. You'll also partner with our Product team on reporting for features like Visual Automations https://kit.com/features/automations and on how creators use Kit. Within our data team, you'll work alongside a Staff Analytics Engineer who owns org-wide semantic layer governance and modeling standards, a Senior Data Engineer who owns ingestion and pipelines, and a Senior Business Analytics Partner focused on revenue opportunities. This role has no direct reports.   WHAT YOU'LL DO - First Week: Work through our onboarding curriculum in Notion and meet the data team, our Senior Revenue Operations Manager, the sales team, and your product partners. Get set up in our core tools: dbt Cloud, GitHub, Amazon Redshift, Omni, HubSpot, Linear, Hightouch and Slack. Set up your AI-assisted development environment and learn the shared AI workflows our data team uses. Open and merge your first small pull request so you learn our review and deployment flow early. - First Month: Map how HubSpot objects (deals, pipelines and stages, companies, contacts, and owners) flow into our dbt models, and document the gaps. Take over day-to-day ownership of the sales models and Omni dashboards that teammates have been covering. Audit current sales reporting and list where definitions differ or numbers don't reconcile. Get familiar with how commerce data (products creators sell and the revenue they earn through Kit) lands in the warehouse today. Agree with RevOps and Sales on the most important questions they need answered. Review teammates' pull requests and contribute to our shared SQL, dbt, and documentation standards. Share a written reflection with the team on what you've learned and where you'd focus first. - First Six Months: Ship and maintain well-tested, documented dbt models for core sales metrics, such as pipeline, deal velocity, stage conversion, win rates, and the sales-led funnel. Expose those metrics through the Omni semantic layer, working within the team's governance standards. Rebuild or refresh the core sales dashboards so pipeline reviews and forecasting conversations run on numbers that don't need manual reconciliation. Resolve competing sales metric definitions by writing down the options and tradeoffs, aligning with Sales and RevOps, and documenting the outcome. Model creator-level commerce data, such as products sold, revenue earned through Kit, and conversion, in partnership with data engineering. Write semantic layer descriptions, metric definitions, and documentation that let Omni's AI and MCP-connected AI tools answer routine sales questions correctly, and test them against real questions from Sales, RevOps and Product. Get Sales to the point where routine questions are answered through self-serve, whether in Omni dashboards, Omni's AI, or AI tools connected over MCP, rather than one-off requests. - First Year: Be the recognized owner of Kit's sales data, the person Sales and RevOps go to first and trust without second-guessing. Give our revenue analysis work the sales and commerce models it depends on, so deeper questions about pipeline health and creator earnings can be answered quickly, thereby enabling us to make creators more successful. Leave your domains well documented and well tested, legible to new teammates, stakeholders, and the AI agents that query our semantic layer. Help raise the team's modeling quality through code review, pairing, and sharing what you learn.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep dbt experience. You build modular, tested, documented dbt projects, and you're comfortable with incremental models, snapshots, macros, CI, and scheduled jobs in dbt Cloud or similar. - Advanced SQL. You reason carefully about grain, joins, and window functions, and you write queries that are readable and performant on a cloud warehouse. - Data modeling for sales and GTM. You can model deals, pipeline stages and their history, ownership changes, and funnel conversion into clean, reusable structures. You are opinionated on Kimball standards and when a concept should be a fact or dimension. - CRM data fluency. You know how sales data behaves in a CRM, including stage changes, backdated edits, and custom properties. HubSpot is preferred, but other CRM experience (e.g. Salesforce) applies just as well. We care most that you recognize common CRM patterns. - AI-assisted development. You use AI code editors and agents (such as Cursor, Claude Code, Codex, or similar) every day, and you validate their output with tests, query results, and review before anything ships. - Clear written communication. You explain metric definitions, tradeoffs, and data caveats in plain language that Sales, RevOps, and Product partners understand. - BI and semantic layer experience. You can build dashboards and semantic models in Omni, Looker, or a similar BI tool, and you design metric definitions that people and AI tools can both query correctly. - Git-based workflows. You keep pull requests small and well described, and you give thoughtful code review. - Nice to have: Redshift performance tuning (sort and distribution keys), Python for scripting or API pulls, reverse ETL, and experience with product event, billing, payments, or ecommerce data. Experiences - Around 7 or more years in analytics engineering or data engineering where you personally shipped production data models. - Several years of hands-on work building and maintaining production dbt projects. - Working directly with sales teams and RevOps, and owning reporting they relied on to run the business. - Owning a data domain over time and evolving its models as the business and its questions changed. - Working at a SaaS company, ideally one with both a self-serve and a sales-led motion. Commerce, payments, or creator economy experience is a plus, not a requirement. - Working on a small or remote team where you were trusted to make decisions independently. Traits - Ownership and follow-through. You treat your data domains as yours. You notice problems before stakeholders do, close the loop on requests, and finish what you start. - Judgment. You match rigor to the decision at hand, know when a quick answer is enough and when a request should become a durable model, and say so clearly. - Flexibility. You're glad to step outside your primary area when another team needs help, and you balance that work against your core commitments openly. - Teach everything you know. You document as you go, pair generously, and help stakeholders understand the data well enough to use it on their own. - Work in public. You share progress, open questions, and decisions in writing where the team can see them, including what didn't work. - Creator success is our success. You remember who's on the other end. A wrong number in a pipeline review means Sales spends time on the wrong creators, and that shapes how carefully you work. - Do it with excellence. You test your work, review it carefully, and don't ship a number you can't defend. - Candor with care. You're comfortable pushing back when a request won't answer the real question, and you do it in a way that builds trust.   WHAT WON'T SET YOU UP FOR SUCCESS - Needing detailed specs or a highly structured environment before you can start. - Discomfort with ambiguity. Some of our sales and commerce definitions are still evolving, and you'll help settle them. - Needing several layers of approval to make modeling decisions within your domain. - Wanting to work only on dashboards, or only on pipelines, rather than across the transformation and BI layers. - Wanting a strictly fixed scope. Sales comes first, but you'll pick up Product or other work when the business needs it. - Wanting mostly greenfield work. Much of this role is improving sales models and dashboards that already exist. - Preferring to take tickets as written rather than partnering with stakeholders on what they need. - Being skeptical of AI's capabilities, or using AI without good judgment and accountability. - Expecting a large data team with dedicated specialists for every part of the stack.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($172,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Toronto; Europe; Canada; London; United States; New York; United Kingdom; Atlanta 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! Why This Role? This role is the critical bridge that amplifies Cohere’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver Cohere solutions with the same rigor, reliability, and innovation as our internal teams. As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery. We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities. In this role, you will: - Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf. - Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices. - Develop deep subject matter expertise in applied AI across the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows - Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development. - Collaborate with Product to ensure requirements are adapted into the core product. - Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers. - Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing Cohere’s technical excellence externally. You may be a good fit if your experience covers the following areas: - Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas. - Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control. - Agentic and LLM stack expertise encompassing production-grade Python software development, RAG and agentic applications using patterns like ReAct or Plan-and-Execute, and robust evaluation framework design. - Developer relations and community engagement, including public speaking, presenting, with a natural comfort with visibility and being the face of technical initiatives. - Experience building enablement or education content specifically for developers. 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: 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 There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. "Claudify" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning Experience marketing to customers in regulated industries (e.g., financial services, healthcare) Experience building admin education or community programs Experience with analyst relations processes and reports (e.g., Gartner, Forrester) Experience with usage-based or consumption pricing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Finance team The Finance team ensures Affirm remains financially sound and strategically positioned for growth. Our team manages financial planning, accounting, pricing, vendor management, tax, investor relations, and corporate development. We deliver timely insights, accurate reporting, and careful analysis to support decision-making. From day-to-day financial operations to major investments, we enable sustainable, informed growth by maintaining strong fiscal discipline. About the role Affirm is looking for an experienced Accounting Manager to support and manage our international accounting operations, with a focus on statutory accounting, statutory audits, financial statement preparation, local compliance requirements, transfer pricing, and monthly close activities. In this role, you will help ensure Affirm’s international entities are supported by accurate books and records, timely close execution, audit-ready documentation, and compliant local reporting. You will coordinate closely with internal Accounting, Tax, Treasury, Legal, Payroll, People, Finance, Technical Accounting and Financial Reporting teams, as well as external auditors, accounting firms, tax advisors, and statutory service providers. You will bring strong US GAAP and local statutory accounting awareness, excellent project management skills, and the ability to manage multiple workstreams across jurisdictions. The ideal candidate is detail-oriented, highly organized, proactive, and comfortable driving work through cross-functional partners and external providers. You will be expected to deliver reliable, high-quality results, communicate clearly, and improve processes that make statutory accounting, audit support, and transfer pricing activities more scalable over time.  You are a strong problem solver and communicator who is excited to support Affirm’s continued growth and mission to deliver honest financial products that improve lives. What you’ll do Manage statutory accounting and monthly close activities for international entities, including journal entries, accruals, reconciliations, variance analysis, and close checklist completion. Coordinate with external accounting, payroll, tax, statutory, and audit providers to ensure accurate local books, timely deliverables, and compliance with local requirements. Lead statutory audit planning and execution, including auditor onboarding, timelines, status tracking, request management, issue resolution, and stakeholder coordination. Prepare and review statutory financial statements, disclosures, footnotes, supporting schedules, and tie-outs to trial balances, reconciliations, and audit evidence. Own PBC coordination and audit testing support by gathering, validating, reviewing, and submitting accurate and complete audit documentation. Partner with Technical Accounting, Financial Reporting, Tax, Legal, Treasury, Payroll, People, Finance, and external advisors on local accounting requirements, statutory adjustments, and reporting matters. Manage audit completion and filing activities, including open item resolution, final approvals, signed documents, filing coordination, and completed audit file retention. Own or support transfer pricing calculations, intercompany invoicing, related journal entries, reconciliations, settlements, and cross-functional alignment. Review trial balances, general ledger activity, reconciliations, and financial statement variances to identify risks, unusual items, required adjustments, and recurring issues. Strengthen process improvements and controls across statutory accounting and audit workflows by standardizing templates, improving review checklists, clarifying ownership, documenting key judgments, enhancing audit trails, and building repeatable processes that reduce manual effort, improve accuracy, and support audit readiness. Identify control gaps, process inefficiencies, and documentation weaknesses; partner with stakeholders to implement scalable solutions, improve close governance, and ensure processes remain effective as entities, requirements, and reporting complexity evolve. Use systems and tools such as NetSuite, Blackline, Excel, Workday, and AI-enabled workflows to improve efficiency, accuracy, and scalability. What we look for CPA professional accounting designation; or 6+ years of relevant professional accounting experience with a bachelor’s degree in business or finance. Public accounting experience preferred, especially audit experience with multinational or public company clients. Strong knowledge of US GAAP, statutory accounting, financial statement preparation, account reconciliations, journal entries, and month-end close. Experience supporting or managing statutory audits, including PBC coordination, audit testing, financial statement review, audit completion, and filing. Experience working with international entities, local accounting requirements, statutory reporting, and external service providers. Experience with transfer pricing calculations, intercompany invoicing, intercompany reconciliations, and cross-border accounting activity. Strong project management skills, with the ability to manage multiple audits, deadlines, entities, and stakeholders at once. Excellent attention to detail and ability to produce accurate, complete, audit-ready work under tight timelines. Ability to partner effectively with Technical Accounting, Tax, Treasury, Legal, Payroll, People, Finance, external auditors, and local accounting providers. Strong written and verbal communication skills, including the ability to explain audit status, accounting issues, risks, and recommendations clearly. Advanced Excel skills, including lookups, conditional formulas, pivot tables, large dataset analysis, and financial statement support. Experience with accounting systems and close management tools; NetSuite and Blackline experience preferred. Strong ownership mindset and desire to improve processes, reduce manual work, and make accounting workflows more scalable over time. Comfortable operating in a fast-paced, rapidly changing environment with competing priorities. Base Pay Grade - K Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $ 145,000 - $ 205,000 USA base pay range (all other U.S. states) per year: $ 128,000 - $ 188,000 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Billing & Payments Engineering team builds and owns the mission-critical systems that power 1Password’s revenue engine end-to-end. We are responsible for the highly available architecture that enables seamless subscription management, complex payment processing, and global financial compliance. From managing the intricate logic of the subscription lifecycle—creations, renewals, upgrades, and cancellations—to integrating with diverse payment gateways and app-store ecosystems, our work ensures a frictionless experience for our customers. As a team, we are actively architecting the next generation of our billing infrastructure, modernizing and consolidating our systems to support rapidly scaling product lines, guarantee absolute data integrity, and ensure robust integrations with downstream financial workflows. In this role, you’ll design, build, and operate reliable backend services while owning complex initiatives from initial design through production. Your work will help create a safer, simpler digital future by making it easier for customers to access and rely on 1Password. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Demonstrated expertise in engineering robust backend architectures using Go, alongside a history of taking end-to-end ownership of complex initiatives from initial design to live production deployment - A drive for and proven experience in software development best practices, and coding standards - You enjoy solving complex problems with a demonstrated ability propose effective solutions - You like communicating and collaborating and can demonstrate experience in working effectively with team and communicating technical concepts to non-technical cross-functional partners - You’re passionate about testing methodologies and debugging techniques to ensure high-quality code Bonus points for: - Billing & Payments: Experience building or maintaining billing, payment processing, or subscription platforms (e.g., Stripe, native app stores). - Distributed Systems: A strong background in designing and scaling highly available, fault-tolerant distributed architectures. - API Integrations: Proven ability to build resilient integrations with third-party APIs, including handling webhooks, retries, and strict idempotency. What you can expect: - Code, test, debug, deliver and maintain production software systems for new and existing product features - Collaborate with cross functional teams and/or stakeholders throughout the development cycle to ensure smooth releases - Work with your teammates and project manager to communicate technical requirements to stakeholders and solve technical problems in a scalable and realistic way - Mentor junior and new team members by helping them understand team expectations, providing technical guidance, sharing knowledge, and engaging in pair programming sessions - Participate in planning by identifying major tasks and breaking down, estimating, and planning work - Write comprehensive tests during various stages of the development cycle, ensuring code is functioning as expected - Review code for others to maintain high code quality, knowledge share within the team, and support creating a safe environment of giving and receiving feedback - Generate and review documentation on code processes to ensure scalability - Stay informed about the latest industry trends, technologies, and best practices in development - Be available for on-call rotational work to ensure uninterrupted support and resolve emergencies USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: New York City, NY; San Francisco, CA; Seattle, WA 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 How do we know whether a model is safe - and how do we know whether the systems we built to catch misuse actually catch it? Anthropic answers both questions with evaluations. We measure model behavior across misuse, prompt injection, and user well-being to inform training and deployment decisions. We also use AI to investigate potential misuse of Claude, analyzing real-world traffic to surface bad actors and emerging threats that drive enforcement actions. Neither is worth much unless the evaluations behind them are representative, robust, and trustworthy. This role builds the methods and infrastructure that make them so. Sitting at the intersection of applied ML research and engineering, you'll design experiments to improve how we evaluate both model behavior and the agentic systems that govern it, build datasets that represent real abuse rather than clean approximations of it, and ship those methods into the pipelines that gate model training, agent changes, and launch decisions. Responsibilities Evaluation research and methodology. Design and run experiments to improve evaluation quality — developing methods to generate representative test data, simulate realistic user behavior, and validate grading accuracy. Research how different factors (multi-turn conversations, tools, long context, user diversity) impact model safety behavior. Analyze evaluation coverage to identify measurement gaps, and evolve evals so they remain unsaturated and high-signal as model and agent capabilities advance. Agentic investigation evals. Build and own the evaluation harness for an agentic investigation system — defining metrics, test cases, and grading approaches for a complex, long-horizon agent. Measure agent performance end-to-end (detection precision and recall, investigation quality, robustness) and drive hill-climbing on the hardest harm areas. Construct RL environments to improve Claude's safety investigation capabilities. Datasets grounded in real harm. Construct high-quality eval datasets representing real-world misuse across harm areas such as cyber attacks, bio weapons, and influence operations, drawing from both real traffic patterns and synthetic generation. Collaborate with Policy and Enforcement to translate observed harm patterns into measurable evaluations. Productionization and tooling. Ship successful research into evaluation, regression, and release pipelines that run during model training, on every agent change, prompt update, and underlying model upgrade, and beyond launch. Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support. Surface findings to research and training teams to drive upstream model improvements. Minimum qualifications Experience building and maintaining data pipelines Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning Strong data analysis skills — you can draw reliable insights from large datasets Ability to move fluidly between research prototyping and production-quality code Ability to translate ambiguous problems into concrete, testable experiments Care deeply about AI safety and want your work to have real impact Preferred qualifications 8+ years of industry software engineering or ML engineering experience Expertise in building or contributing to LLM or agent evaluation frameworks, benchmarks, or automated grading systems Extensive experience in trust and safety, content moderation, or abuse detection systems Experience in red teaming, adversarial testing, or jailbreak research on AI systems Experience with synthetic data generation or data augmentation Experience with distributed systems or large-scale data processing Experience with prompt engineering or building LLM-powered applications 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Draft, negotiate, and manage commercial agreements with banks, payment providers, investment firms, vendors, and other regulated partners, including service-level agreements and general terms and conditions. Assess US and international licensing and regulatory requirements for Nexo’s business, and advise how regulatory changes affect our plans. Support US-related initiatives together with the US legal team and external US counsel, including bank, payment provider, investment, and licensing matters. Support negotiations with financial partners from term sheet to signed agreement. Be a go-to legal partner for Compliance, Business, and Product teams, so legal and regulatory requirements are considered early. Support the legal setup of new products and programs as they arise. Turn recurring questions into templates, playbooks, and self-service guidance, including AI-assisted workflows. Work closely with colleagues across the legal team and share coverage when they are away. Handle ad-hoc legal queries from across Nexo. Report to the Head of Legal and work with regional counsels, external counsel, and regulators. Share knowledge with colleagues and, over time, help develop junior team members. What makes you stand out: Master’s degree in law (LLB, JD or equivalent) and a strong academic record. 5+ years of experience in-house or in a law firm, advising US-regulated entities such as banks, payment companies, fintechs, or investment advisers. Strong US law exposure, with a focus on commercial agreements, regulatory matters, or both. Experience negotiating with banks, payment providers, or other regulated financial institutions. Working knowledge of US financial regulation, such as licensing, AML, consumer protection, or securities and investment adviser rules. Experience supporting product or program launches is a plus. Crypto and blockchain experience is a plus, not a requirement. We’ll help you build it. Ability to turn regulatory risk into practical, business-friendly solutions. Strong drafting and negotiation skills, and excellent written and spoken English. A hands-on mindset: comfortable drafting, negotiating, advising, and getting things done without a large support team. Comfortable using AI tools to speed up drafting, research, and contract review. Ability to work independently on complex, cross-jurisdictional projects in a fast-paced environment, and as a team player who shares knowledge so no single person is a bottleneck. Strong analytical, prioritization, and multi-tasking skills, with attention to detail. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Free parking with a designated space, free electric bikes, and public transportation cards. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: Intellias Meet your recruiter Katarzyna Sankowska katarzyna.sankowska@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineering Lead Senior Lead Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for an Engineering Lead to join a large-scale Digital Health initiative building a FHIR-based healthcare platform that connects providers, payers, clinical systems, and external healthcare networks. This is a hands-on leadership role that combines strong engineering expertise with team leadership. You will set technical direction, grow engineers, and ensure delivery of secure, reliable, and HIPAA-compliant healthcare solutions. What project we have for you We’re helping a US digital-health platform make patients’ medical data accessible, consistent, and trustworthy. The platform brings together data from many clinical and administrative sources: lab results, diagnoses, medications, visits, claims and more. It standardizes this data into FHIR and exposes it through secure, standards-based APIs used by internal products and external partners. You’ll lead the engineering team that builds it. This is a player-coach role to start. While your number of direct reports is smaller and growing, you’ll write production code across the stack, sharing ownership of the API and public surfaces with our full-stack engineer, and you’ll stay close to the data integration work. You’ll own the platform’s technical direction, delivery, and team, and you’ll represent engineering to partners, product, and clinical advisors. What you will do Lead onshore/nearshore and offshore teams: hire and level accurately, run 1:1s and performance conversations, and develop leads into stronger managers. Grow the organization, with clear boundaries and a bench of future leaders. Write production code across the API, embeddable widgets, preview app, SDKs, and MCP server, with ownership that shifts with priorities. Step off the critical path as the team grows while staying close enough to the code to judge quality firsthand. Set the technical direction for an API-first platform, where every surface is a client of one OpenAPI-defined API. Own partner authentication, tenant scoping, per-partner configuration and branding, rate limiting, idempotency, and audit logging. Design configurable, rules-based questionnaire matching that clinical staff can change without code, and that clinical advisors review. Guide the integration of provider schedule inventory from health systems and telehealth networks through batch and real-time API feeds, with a booking path that confirms availability or fails gracefully. Own the roadmap, commitments, SLOs, and incident follow-through. Build HIPAA and minimum-necessary PHI boundaries into every surface, including what reaches an LLM through the MCP server, working with our security and compliance team. Set how the team employs AI to build, with the review and testing practices that keep the work correct and safe. What you need for this 8+ years of software engineering experience, including 4+ years managing engineering teams. Experience managing other managers or team leads, including leads of outsourced, vendor, or nearshore teams. Hands-on full-stack skills with Python (FastAPI or similar) on the backend and TypeScript and React on the frontend. You’ve shipped partner-facing APIs or embedded products to production. Experience leading data integration with external partners through both batch file feeds and APIs. Strong API design judgment across REST (OpenAPI) and GraphQL: contracts, versioning, idempotency, OAuth 2.0, tenant isolation, and rate limiting. Experience working with PII and/or PHI under HIPAA. Daily use of AI coding tools like Claude Code in your own work, and experience leading a team’s adoption of them. You keep a team moving when plans, staffing, or vendors change, and you give people a clear plan even when big questions are still open. You hold every lead, onshore or outsourced, to one consistent bar, and you make good calls quickly with the information you have. Nice to have: Experience in healthcare technology, working with PHI under HIPAA. Strong working knowledge of FHIR models, APIs, and implementation guides such as US Core or Bulk FHIR, including mapping to and from FHIR, profiling, and extensions. Experience with FHIR platforms and tools, whether commercial or open-source (e.g., HAPI, Smile, Medplum), or having built your own. Participation in the FHIR community, such as HL7 or non-HL7 working groups, Connectathons, IG contributions, or presentations at events like DevDays or HIMSS. FHIR training or certifications, such as FHIR Implementer or Advanced Developer. Domain knowledge in specialized FHIR areas such as clinical reasoning, analytics, FHIRPath, search, terminology, or AI. Experience with scheduling standards and APIs such as the IHE ITI Scheduling IG, SMART Scheduling Links, or Epic Open Scheduling. Experience building products for payers or employers. Experience building MCP servers or other LLM tool integration What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move.   WHAT YOU WILL DO Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models.   WHAT WE'RE LOOKING FOR - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. NICE TO HAVE - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region 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: Stockholm ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move.   WHAT YOU WILL DO Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models.   WHAT WE'RE LOOKING FOR - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. NICE TO HAVE - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region 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.