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Location: Philippines Alvys is building modern infrastructure for the logistics industry. Our cloud-based TMS (Transportation Management System) powers freight operations with intuitive workflows, real-time visibility, and deep automation—helping carriers and brokers scale faster and operate smarter. We’re a fast-growing startup backed by top investors and are passionate about solving real-world problems for an essential industry.  We’re looking for a highly skilled and hands-on Accounting Manager. In this high-impact role, you’ll be responsible for establishing scalable processes, ensuring the accuracy and integrity of our financial data, and enabling operational excellence as we grow. Role overview Alvys builds the transportation management platform that carriers and brokers use to run their businesses. As we scale, we’re building a finance function that is rigorous, hands-on and increasingly automated. We’re hiring an Accounting Manager to take ownership of the accounting engine behind that growth and work closely with the Head of Finance as the senior accounting lead on the team. You’ll own the full accounting cycle — month-end close, general ledger, revenue, AP, payroll, tax and audit readiness — with responsibility for producing a clean, accurate and defensible set of books. This is a hands-on role for someone who understands the ledger deeply enough to explain what changed, why it changed and what needs attention. You’ll run the close end to end, review the work prepared by the team, own the areas that require judgment, and step into the details when needed. You’ll also help develop the team, strengthen our processes and continue building the automation layer behind the finance function. Key responsibilities Month-end close and general ledger Own the close calendar end to end — task assignment, deadlines, review, and the close results package delivered to the Head of Finance. Review and post the journal entries prepared by the team, and prepare the entries that carry judgment — commission and bonus accruals, payroll true-ups, and period-end reclasses. Perform detailed balance sheet reconciliations covering cash, AR, deferred revenue, prepaids and accruals. Run flux analysis (MoM, YoY) across the P&L and balance sheet, and write variance commentary that explains the movement. Maintain the chart of accounts and product master lists, and keep reporting mappings current. Revenue reporting and billing oversight Review and approve the monthly revenue close prepared by the billing analyst — the reconciliation of subscription and non-subscription revenue across Stripe, Salesforce and QuickBooks Online, and the entries that come out of it. Own revenue recognition policy under ASC 606 and make the judgment calls: usage overages, multi-element contracts, contract modifications, concessions and early terminations. Own annual recurring revenue reporting (ARR and CARR) — the monthly build, the roll-forward of new, expansion, contraction and churn, and the tie-out of that roll-forward back to booked revenue in the general ledger. Connect recurring revenue reporting to Salesforce pipeline and contract reporting, reconciling bookings, billings and recognized revenue with the billing analyst. Oversee invoicing, collections and the dunning cycle. Approve concessions, credit memos and refunds, and review the deferred revenue schedule against the billing system. Accounts payable, expenses and payroll Oversee vendor bills, payment runs and employee reimbursements in Ramp, in partnership with People Operations. Partner with People Operations on domestic and international payroll — review the runs, journalize them, and reconcile the clearing and benefits-payable accounts. Review commission calculations and book the corresponding accruals and true-ups. Financial reporting and expense forecasting Update the monthly expense forecast off closed actuals — run rate by department and GL account, vendor and contract commitments, headcount and compensation roll-forward. Maintain the amortization and accrual schedules that drive forward-looking operating expense, and carry the changes into the forecast as they’re booked. Explain spend variance against budget at the account and department level, and keep the supporting detail current for leadership reporting. Tax, compliance and audit Coordinate with our external advisors on federal, state and franchise tax filings. Own sales tax, 1099 and entity registration compliance. Run audit readiness and execution: PBC lists, supporting schedules, and auditor questions. Team and process Manage and develop a small analyst team covering AP and expense operations, and billing and AR. Serve as backup across the team’s work, and as the Head of Finance’s delegate on accounting matters. Own the accounting SOP library, the close checklist and the task repository, and keep all three current. Find manual and inefficient processes and eliminate them as we target an “autonomous close.” Our close, billing and reconciliation processes already run on a growing set of automations, and this role is expected to extend them. Minimum qualifications Experience 6+ years of progressive accounting experience, including ownership of a full close cycle and hands-on balance sheet reconciliation. Solid full general ledger background — you’ve prepared and reviewed entries across payroll, accruals and revenue, can defend a balance, and understand how accounting activity flows through the income statement, balance sheet and cash flow statement. Revenue recognition experience under ASC 606 in a subscription business. Experience managing, reviewing and developing other accountants. Systems QuickBooks Online — required. Daily hands-on experience: chart of accounts, journal entries, bank reconciliation, reporting. Stripe — required. Subscriptions, invoices, credit memos, disputes, payouts, and reconciling subscription billing activity into the general ledger. Advanced Google Sheets. Pivots, lookups, nested logic, data validation. Salesforce is a significant plus. AI fluency and automation — required Demonstrated, current use of AI in your accounting work. Be ready to tell us what you’ve automated, what it replaced, and how much time it gave back. Comfort writing prompts, iterating on output, and knowing when not to trust it. Everything AI produces is reviewed before it touches the ledger. Our finance function runs on a library of custom AI workflows built in-house. You’ll use them daily and be expected to build on them. Preferred CPA or active CPA candidate — someone committed to a career in accounting and finance. SaaS or technology industry experience. Prior exposure to a modern expense, HRIS or close-management platform. Personal attributes Hands-on by instinct. You review the work, and you prepare it yourself when the cycle calls for it — working a reconciliation, chasing a variance or covering a teammate’s queue during close week. Comfortable operating on a small team where the person who owns the number also understands and builds the schedule behind it. Growth mindset. This role is deliberately scoped to expand, and we’re looking for someone who wants that. Clear written communication. A large share of this job is explaining a variance or accounting issue to someone who does not work in finance. Why Alvys Ownership. You’ll run the close and monthly financial reporting, with direct review from and partnership with the Head of Finance. Modern stack. A cloud-native finance stack — QuickBooks Online, Stripe and Salesforce at the core — with an AI tooling layer we build ourselves. Proximity to decisions. You’ll work directly with leadership and have real influence on how the accounting function is built as the company scales. Growth. This role is designed to expand in scope, with a path toward Controller as the business and finance organization mature. Collaborative culture. Mission-driven people building the future of logistics technology, grounded in trust and transparency. Alvys — Join our Team If this sounds like your next challenge, we’d like to hear from you. Equal Employment Opportunity Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Alvys's privacy practices, see our Privacy Policy .

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, software as a medical device, wellness and longevity, member insights, and emerging health signals. We combine continuous physiological data with clinical research and domain expertise to ship features that are scientifically grounded and useful to millions of members. As a Staff Applied Machine Learning Scientist on the Health team, you will turn ambiguous clinical and product questions into defensible studies, models, and evaluation plans on WHOOP's longitudinal wearable and member data (physiological signals, behavioral logs, labs and integrations, and related streams). You will set the methodological bar for a Health domain. You will partner with Machine Learning Engineers on the path to production, and with Product, clinical, and Digital Health partners on what the data can and cannot support. Success in this role requires applied algorithm and statistical craft, the judgment to operate across Health problem types, and Staff-level leadership: launching domain work independently, raising the quality and velocity of the people around you, and making clear prioritization calls under uncertainty. RESPONSIBILITIES - Lead the design, development, and validation of machine learning and statistical methods for Health features, using wearable physiological and behavioral data and related member sources. - Frame ambiguous health and product questions into well-scoped modeling or study problems, with clear performance criteria, evaluation plans, and honest treatment of uncertainty and failure modes. - Set the methodological and quality standard for a Health domain: reusable evaluation practices, review expectations, and documentation that others can inherit. - Develop and refine approaches for time-series, longitudinal, and multimodal data, including data curation, labeling strategy, feature and representation choices, and offline evaluation that holds up under real-world noise, missingness, and population shift. - Partner with Machine Learning Engineers to translate validated methods into production-ready systems, making modeling choices that account for scalability, reliability, latency, cost, monitoring, and (where relevant) controlled-release constraints. - Serve as a technical counterpart to Product and Digital Health (clinical science, regulatory, quality): pressure-test performance requirements, study design, and evidence quality, and push back when a claim is not supportable. - Raise the quality and velocity of the scientists and engineers around you through design reviews, mentorship, and the judgment of when to coach someone else to champion a problem versus taking it yourself. - Communicate trade-offs, risks, and results clearly to technical, clinical, product, and leadership audiences; prevent misalignment early; drive decisions with evidence and a clear point of view on domain direction. QUALIFICATIONS - Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field. - 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain. - Demonstrated Staff-level technical leadership: setting methodological standards others reuse, influencing multi-team outcomes, mentoring senior ICs, and making prioritization calls under uncertainty. End-to-end project ownership alone is not sufficient. - Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data, with the ability to draw defensible conclusions from observational, noisy, or otherwise messy real-world data. - Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain. - Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric choice, validation splits, subgroup and failure analysis, and documentation of assumptions and limitations. - Strong Python skills with reproducible scientific / ML engineering hygiene (clean, reviewable code; comfort with stacks such as NumPy/SciPy/pandas, scikit-learn, PyTorch/TensorFlow). - Clear, high-signal communicator who can move between deeply technical method discussions and cross-functional conversations with Product, clinical partners, and leadership. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. ABOUT THE TEAM The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform. ABOUT THE ROLE As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions. You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape. You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor. WHAT YOU’LL DO - Co-architect and co-build production AI agents with federal engineering teams and system integrators - Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations - Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.) - Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows - Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions - Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences - Partner with security teams to navigate ATO processes and accreditation pathways - Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies - Occasionally contribute code upstream when it meaningfully improves federal customer outcomes WHAT YOU’LL BRING - Must have zctive or prior U.S. security clearance (Secret, TS/SCI) - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers - Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators - Strong Python and JavaScript fundamentals, with deep systems thinking - Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling - Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.) - Comfort operating in regulated environments with security, compliance, and documentation requirements - Experience supporting technical evaluations, architecture reviews, and competitive down-select processes - Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership - Ownership mindset — you take responsibility for mission outcomes, not just recommendations - Bias toward action and comfort operating in ambiguity - Excitement about running AI agents in real-world, production federal environments — not just building demos NICE TO HAVE - Experience deploying AI systems in classified or air-gapped environments - Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6) - Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings - Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures - Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.) - Production experience with LangChain, LangGraph, or similar agent frameworks COMPENSATION & BENEFITS We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $185,000–$300,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco; Palo Alto Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US.   What You Will Do   Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements.   Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.   Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.   Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.   Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns.   Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.   What We're Looking For   • 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. • Deep understanding of the US market dynamics and enterprise landscape. • Experience of consultative selling of highly complex, technical products. • Bachelor's and/or Master's degree in Business, Computer Science, or a related field. • Significant work experience within the AI ecosystem or related data/infrastructure field. • Experience working at a successful, fast-growing startup, ideally in deep-tech. • Strong technical skills to navigate quickly evolving products and steer technical discussions. • Excellent written and verbal communication in English, and a bonus for French. • Outstanding negotiation and communication skills to build relationships and close deals effectively. 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: Vancouver, BC At Asana, security is foundational to our mission of helping humanity thrive by enabling the world's teams to work together effortlessly. Our security team protects Asana's employees, users, and customers by proactively addressing threats and fostering a culture of security throughout our product and operations. We're looking for a Product Security Engineer to join our Product Security team in Vancouver. You'll be a key member of our security engineering team, partnering directly with product and infrastructure teams to ensure we design and ship secure software. You will be instrumental in scaling our security practices by building secure-by-default frameworks, eliminating entire classes of vulnerabilities, and championing a security-first mindset across our web, mobile, and AI-powered product surfaces. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. What you'll achieve Partner with product and engineering teams across the full software development lifecycle to ensure security is designed and built into Asana's products and platform. Conduct security architecture reviews, threat modeling, and code reviews for new features and services. Develop, implement, and maintain secure-by-default frameworks and libraries that empower engineering teams to build secure systems easily. Build and maintain automated security tooling (static and dynamic analysis rules, custom SAST/DAST checks, and automated red-teaming) to scale security coverage without scaling headcount. Identify and address AI-specific security risks such as prompt injection, insecure tool permissions, and abuse-resistant design in Asana's AI and agentic features. Triage, investigate, and drive remediation of vulnerabilities from our bug bounty program, internal testing, and automated security tooling. Influence engineering initiatives by conducting design and roadmap reviews, effectively communicating security constraints, and assisting teams in making informed trade-offs. Investigate product security incidents as a subject matter expert, using logs and monitoring tools to contain, analyze, and drive resolution. Evaluate and improve software supply chain security, including dependency management, SCA tooling, and third-party risk in the development pipeline. Develop and deliver training to educate engineers on secure coding best practices and emerging threats. Stay informed of industry trends, emerging threats, and best practices to ensure that Asana's security posture remains robust. Collaborate with teammates and stakeholders to develop both short-term and long-term strategies for risk management. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making 5+ years of experience in application security, product security, or software engineering with a security focus. Strong software engineering background with experience in languages like Python, Javascript/Typescript or Scala. Deep working knowledge of the OWASP Top 10 and common web application vulnerabilities such as XSS, CSRF, SSRF, and SQL injection. Familiarity with AI/ML security concepts, including LLM-specific risks such as prompt injection and agentic attack surfaces. Experience with security tools for static/dynamic analysis (SAST/DAST), software composition analysis (SCA), and vulnerability management. Experience performing security design reviews and threat modeling for complex applications. Excellent communication skills for collaborating effectively with both technical and non-technical partners. A pragmatic and collaborative mindset, with a passion for building defenses against real-world attacks and enabling other engineers to do their best, most secure work. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between 176,000 - 200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: London Workplace: OnSite 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. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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: Amsterdam Workplace: OnSite 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. About The Job   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.   Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.   What you will do   - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us?   You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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: London Workplace: OnSite 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. About The Job   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.   Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.   What you will do   - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us?   You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Transaction Monitoring Analyst II, you will be at the front line of defending the ecosystem against financial crime. You will perform deep-dive investigations into merchant and consumer payment patterns to detect potential Money Laundering (ML), Terrorist Financing (TF), and Fraud. Unlike an entry-level role, an Analyst II handles escalated or complex alerts, identifies emerging typologies, and assists in the refinement of our monitoring rules. You will be responsible for ensuring that suspicious activity is identified, documented, and reported to the relevant authorities (via SARs/STRs) in strict accordance with internal policies and Mauritius/global regulatory requirements. WHAT YOUR RESPONSIBILITIES WILL BE - Investigative Analysis: Perform end-to-end investigations on complex transaction monitoring alerts, utilizing internal data and external OSINT tools to identify suspicious patterns. - Case Management: Manage a queue of high-priority cases, ensuring thorough documentation of rationales and timely clearance or escalation. - Reporting: Draft high-quality Suspicious Activity Reports (SARs) or Suspicious Transaction Reports (STRs) for review by the Money Laundering Reporting Officer (MLRO). - Pattern Recognition: Identify and escalate new financial crime typologies and "red flags" observed during daily monitoring to improve automated detection rules. - Risk Mitigation: Conduct enhanced due diligence (EDD) on high-risk accounts or merchants triggered by transaction monitoring alerts. - Collaboration: Work closely with the Quality Control (QC), Financial Intelligence Unit (FIU) and Product Engineering team to provide feedback on alert quality and system effectiveness. - Mentorship: Serve as a point of escalation and subject matter expert (SME) for Junior Analysts, providing guidance on complex investigative techniques. - Compliance Adherence: Ensure all reviews are completed within strict regulatory timelines and internal Service Level Agreements (SLAs). WHAT YOU WILL NEED TO BE SUCCESSFUL - Education: Bachelor’s degree in Banking, Finance, Law, Criminology, or a related field. - Experience: Minimum 3+ years of hands-on experience specifically in AML Transaction Monitoring or Financial Crime Investigations within Fintech or Banking. - Technical Savvy: Proficiency in using Transaction Monitoring systems (e.g., Napier, Featurespace, or proprietary tools) and data visualization tools. - Analytical Rigor: Strong ability to "connect the dots" across disparate data points to uncover complex money laundering schemes. - Communication: Exceptional written communication skills, with a proven ability to write clear, concise, and defensible investigative narratives. - Regulatory Knowledge: Solid understanding of the Financial Intelligence and Anti-Money Laundering Act (FIAMLA) and global AML/CFT standards (FATF). - Certification: ACAMS or ICA certification is highly preferred. - Mindset: A proactive, "investigator" mindset with high attention to detail and the ability to work under pressure. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Talent Acquisition Lead, Early Careers, you will play a pivotal role in shaping the next generation of AI talent at Mistral. You will design, build, and run our global early careers strategy — spanning internships, graduate hiring, and campus recruitment — positioning Mistral as a premier destination for ambitious students and recent graduates in AI. This is a rare opportunity to build early careers programs from the ground up at one of the world's leading AI companies. You will own the full lifecycle of the intern and graduate experience: from sourcing and selecting high-potential talent through international school and university partnerships, to designing inclusive, well-structured programs that develop and convert that talent into future Mistral employees. Working from our Paris HQ, you will partner closely with hiring managers across all our departments to ensure early careers pipelines keep pace with our rapid global growth. 📌 Location: this role is located at our Paris, France HQ, with hybrid onsite collaboration. WHAT YOU WILL DO - Design and execute strategic early careers programs with clear goals for intern and graduate pipelines, aligned with Mistral's global growth plans and talent needs. - Partner with hiring managers and the People team to define role requirements, train and scale interview panels, and align on early careers priorities. - Own the end-to-end recruitment process for interns and early careers hires globally — from role definition and sourcing through offers and conversion decisions. - Build and maintain partnerships with top international schools and universities, creating sustainable, multi-year sourcing channels for high-potential candidates. - Build inclusive and equitable intern programs with structured learning objectives, meaningful core projects, and mentor/buddy pairing systems for every cohort - Drive global campus recruitment: represent Mistral at career fairs, host on-campus events, and develop targeted employer branding strategies for student markets. - Recruit, onboard, and lead a team of hands-on recruiters: set priorities, coach and develop the team, and scale capacity in step with hiring demand across geographies. - Build scalable systems and best practices: workflows, documentation, and tools to support rapid growth across geographies. - Embody our culture as an ambassador for Mistral, on campus and internally. WHAT WE'RE LOOKING FOR - Proven experience: 7+ years in recruiting, preferably in tech, high-growth, or competitive environments. - Early careers depth: Exposure to global early careers, internships, or graduate recruitment - Team leadership: Demonstrated experience building, growing, and managing a team of recruiters in a fast-scaling environment. - Partnership expertise: Expertise in international school and university partnership development and global campus recruitment. - Program building: Demonstrated experience building inclusive and equitable intern programs, with excellent project management skills and exceptional attention to detail. - Data-driven mindset: Skilled at analyzing metrics to solve problems and optimize recruitment processes. - Global perspective: Experience with international hiring and fluent English communication; French is a plus. - Stakeholder influence: Ability to advise and align senior leaders with credibility and diplomacy. - Hands-on execution: Capable of balancing strategy with operational excellence, staying organized and disciplined across concurrent programs and locations. - Tool proficiency: Familiarity with modern ATS (e.g. Ashby), LinkedIn search, scheduling tools, and AI-driven productivity tools is a plus. 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: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity AI is not a feature at OKX. It is the next fundamental layer of how we serve users, operate at scale, and maintain trust in a regulated, global market. We are hiring a Senior Directort of Product, AI & Agent (Chatbot) to own OKX's full AI product agenda — outward, through a crypto-native AI assistant that transforms how users experience our platform; and inward, through agentic systems that make our operations intelligent, auditable, and scalable. This is a single role with a unified mandate: building the AI layer that defines OKX's next decade. What You’ll Be Doing User-Facing AI Lead the strategy and execution of OKX's conversational AI assistant — an experience that lets users onboard, trade, stay informed, and get support through natural language. You will define what this product is, how it earns user trust, and how it deepens over time. Operational AI & Agent Systems Own the agentic AI roadmap for OKX's internal functions — compliance, risk, fraud, and operations. You will identify the highest-leverage workflows, lead their systematic transformation into agent-driven systems, and ensure every output is traceable and regulatorily defensible. AI Platform Own the product design of shared infrastructure that powers both mandates — orchestration, evaluation, safety architecture, and the governance layer that makes AI products configurable and auditable across all markets. What We Look For In You 12+ years in product & tech, with 5+ years in a senior leadership role owning technically complex products at scale Proven track record shipping conversational AI or agentic AI products — as the owner, not a contributor Deep familiarity with LLM product architecture: multi-agent systems, RAG, tool use, evaluation, and safety design Experience operating in regulated environments where auditability and explainability are hard requirements Strong consumer product instinct alongside operational product rigor Fluency in financial markets and what it takes to earn user and institutional trust Executive-level communication in English and Mandarin Nice-To-Haves Background in crypto, fintech, or financial services at global scale Graduate degree in a technical field Experience with successful Conversational AI or Agentic AI products Why this role OKX operates at a scale where the gap between what AI can do and what we have built is still enormous. This role exists to close that gap — on both sides of the platform, simultaneously. If that is the kind of problem you want to own, we want to talk. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-WWW #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity AI is not a feature at OKX. It is the next fundamental layer of how we serve users, operate at scale, and maintain trust in a regulated, global market. We are hiring a Senior Directort of Product, AI & Agent (Chatbot) to own OKX's full AI product agenda — outward, through a crypto-native AI assistant that transforms how users experience our platform; and inward, through agentic systems that make our operations intelligent, auditable, and scalable. This is a single role with a unified mandate: building the AI layer that defines OKX's next decade. What You’ll Be Doing User-Facing AI Lead the strategy and execution of OKX's conversational AI assistant — an experience that lets users onboard, trade, stay informed, and get support through natural language. You will define what this product is, how it earns user trust, and how it deepens over time. Operational AI & Agent Systems Own the agentic AI roadmap for OKX's internal functions — compliance, risk, fraud, and operations. You will identify the highest-leverage workflows, lead their systematic transformation into agent-driven systems, and ensure every output is traceable and regulatorily defensible. AI Platform Own the product design of shared infrastructure that powers both mandates — orchestration, evaluation, safety architecture, and the governance layer that makes AI products configurable and auditable across all markets. What We Look For In You 12+ years in product & tech, with 5+ years in a senior leadership role owning technically complex products at scale Proven track record shipping conversational AI or agentic AI products — as the owner, not a contributor Deep familiarity with LLM product architecture: multi-agent systems, RAG, tool use, evaluation, and safety design Experience operating in regulated environments where auditability and explainability are hard requirements Strong consumer product instinct alongside operational product rigor Fluency in financial markets and what it takes to earn user and institutional trust Executive-level communication in English and Mandarin Nice-To-Haves Background in crypto, fintech, or financial services at global scale Graduate degree in a technical field Experience with successful Conversational AI or Agentic AI products Why this role OKX operates at a scale where the gap between what AI can do and what we have built is still enormous. This role exists to close that gap — on both sides of the platform, simultaneously. If that is the kind of problem you want to own, we want to talk. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-WWW #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses. You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence. This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations. WHAT YOU'LL DO - Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions. - Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises. - Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight. - Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots. - Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support. - Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact. WHAT YOU HAVE - Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model. - Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny. - Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments. - An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire. - The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work. Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny. At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business. COMPENSATION $280,000 - $385,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building AI-native software for professional services. Our customers trust us with highly sensitive information and critical business workflows, making security fundamental to everything we build. We’re looking for a Director of Detection and Response to build and lead the team that identifies threats, responds decisively to incidents, and turns what we learn into stronger defenses. You will own Harvey’s Detection and Response strategy, technical direction, and operational readiness across our production platform and corporate environment. Working with the CISO and leaders across Engineering, Infrastructure, IT, Legal, and Customer Trust, you’ll translate business risk into a focused program that protects customer data and enables Harvey to move quickly with confidence. This is a technical leadership role for someone who can build an exceptional team, earn the trust of senior engineers, and bring clarity to high-stakes situations. You’ll develop a function that scales through software, automation, and strong partnerships, while staying close enough to the work to challenge detection designs and guide complex investigations. WHAT YOU'LL DO - Build and lead the organization. Hire and develop detection engineers, incident responders, and technical leaders; establish clear ownership and a culture of curiosity, sound judgment, and continuous learning. Own the roadmap, staffing plan, and investment decisions. - Own incident response and crisis readiness. Lead Harvey’s response to major security incidents, coordinating investigation, containment, recovery, and executive communication. Build clear severity criteria, escalation paths, playbooks, and sustainable 24/7 coverage for critical threats; develop incident commanders and cross-functional responders through exercises. - Build detection as an engineering capability. Set the technical direction for telemetry, detection pipelines, forensic tooling, and response automation across cloud, endpoint, identity, SaaS, and application environments. Apply software engineering practices to test detections, improve signal quality, and reduce manual work; evaluate AI-assisted investigation with measurable quality and appropriate human oversight. - Focus defenses on meaningful threats. Use threat intelligence, hunting, and an attacker’s perspective to prioritize scenarios that matter to Harvey, including account compromise, data theft, insider risk, privileged-access abuse, and abuse of AI-enabled workflows. Partner with offensive security and platform owners to validate coverage and close blind spots. - Make response a company capability. Partner with Engineering, IT, Legal, Privacy, Communications, and Customer Trust on sensitive investigations and crisis decisions. Establish clear escalation and decision authority, preserve evidence, and provide accurate findings to support Legal-led notification and disclosure decisions. Prepare cross-functional responders to contribute when incidents require broader support. - Turn incidents into lasting improvements. Drive blameless reviews and ensure corrective actions have owners, deadlines, and verified outcomes. Measure detection coverage, time to detect and contain, recurring failure modes, and responder workload, and use those results to guide investments and reduce customer impact. WHAT YOU HAVE - Experience building and leading Detection and Response, incident response, or security engineering teams in a technology company with complex production systems. A record of hiring strong engineers, developing technical leaders, and scaling both the team and its operating model. - Deep incident response experience and demonstrated judgment during serious security events. You can lead investigations with incomplete information, make timely containment decisions, and communicate clearly with executives, engineers, and business partners. You bring composure, integrity, and discretion to sensitive investigations and decisions under scrutiny. - Strong technical foundations in cloud infrastructure, operating systems, networking, identity, and attacker tradecraft, with depth in detection engineering, threat hunting, or digital forensics. You understand how to investigate across corporate and production environments. - An engineering approach to security operations, backed by experience building detection platforms, investigation tools, or response automation. You can evaluate architecture and code, guide senior engineers, and make practical decisions about what to build, buy, or retire. - The ability to turn business risk into a focused strategy and deliver it through influence and partnership. You balance urgent response with long-term engineering work and build a demanding, supportive environment where people can do their best work. Experience protecting enterprise SaaS, sensitive customer data, or AI/ML environments is especially valuable, as is experience investigating insider threats, partnering on privileged-access governance, or leading response under regulatory and public scrutiny. At Harvey, you’ll shape how an AI company detects and responds to threats as its products and customers evolve. Your team’s work will directly protect customer trust and help make security a durable foundation for the business. COMPENSATION $280,000 - $385,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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 As an HR Business Partner, you will support managers and employees throughout the employee lifecycle while helping Mistral AI build scalable people practices as the company grows. You will be a trusted partner, providing guidance on people matters and helping leaders make informed decisions. You will work across both day-to-day people topics and longer-term initiatives, from employee relations and career development to performance reviews, learning, and talent retention. You will play a key role in creating a consistent employee experience across multiple countries while ensuring compliance with local employment regulations. You will also help shape how the People team operates by improving policies, processes, and programs that support the business and reinforce Mistral AI's culture.   WHAT YOU WILL DO - Partner with managers to provide trusted guidance on people-related matters. - Support a positive and productive work environment by proactively addressing employee concerns and engagement. - Use People metrics to inform decisions and provide insights to managers and leadership. - Champion and reinforce Mistral AI's culture across the organization. - Develop and evolve talent retention initiatives that support long-term employee growth. - Design and improve learning, career development, and performance review programs. - Build scalable People policies and processes that promote sustainable ways of working, including work-life balance.   WHAT WE'RE LOOKING FOR - Bachelor's or Master's degree in Human Resources, Business Administration, or a related field. - 5–8 years of progressive human resources experience, with most of that experience gained in a startup or high-growth environment. - Experience supporting employee populations across multiple countries, particularly in EMEA, with a strong understanding of French employment law and human resources practices. - Experience managing the employee lifecycle, from onboarding through retention and offboarding. - Proven ability to develop and implement human resources strategies that support business goals and deliver measurable outcomes. - Excellent communication and interpersonal skills, with the ability to build trusted relationships across the organization. - Strong analytical and problem-solving skills. - A hands-on approach, with experience improving human resources processes to increase efficiency, enhance the employee experience, and maintain compliance with employment regulations. - A builder mindset with a practical approach to creating scalable people practices. 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: 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 Evaluation is how we decide which models, checkpoints and recipes ship. As a Research Engineer on the Eval Platform team, you will build the infrastructure every science team relies on to measure model quality, and make it reliable, reproducible and fast. You don't need to have designed benchmarks before. You do need to care about what a score means, and about when a difference between two runs is real. WHAT YOU WILL DO - Build systems that keep eval results reproducible and comparable over time, as models, benchmarks and code evolve. - Run evaluations at scale across our GPU clusters, from model serving to scoring. - Make eval results easy to access, explore and trust, through APIs and dashboards that researchers use every day. - Catch broken or noisy evals before they mislead research decisions. - Support evaluation of agentic, multi-turn and tool-using models. - Work closely with researchers to turn new evaluation needs into robust, shared tooling. WHAT WE'RE LOOKING FOR - Master's or PhD in Computer Science, or equivalent experience. - 4+ years building production-grade software, ideally large-scale ML codebases or distributed systems. - Excellent Python and strong software-design instincts: testing, code review, CI/CD. - Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar). - Familiarity with LLM inference and evaluation. - A product mindset: researchers are your users. - Self-starter, low-ego, collaborative. NICE TO HAVE - Experience building or maintaining evaluation harnesses or benchmarks. - Hands-on experience with inference engines such as vLLM or SGLang. - Experience with agentic or RL environments. - Statistics for experimentation: variance estimation, significance testing. - Open-source contributions to ML tooling. 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: Germany About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Constructor Practice is the hands-on practice platform within the Constructor Technology learning suite, alongside Learn, Assess, Proctor, Schedule and Groups. It spans an unusually broad portfolio: curriculum-aligned virtual science labs; the evidence-based intervention products Calcularis (numeracy and dyscalculia), Grafari/Orthograph (literacy and dyslexia); and browser-based Software & IT and Coding labs for technical training. Shared capabilities include cloud-based hands-on environments with no installation, automated assessment and grading, group assignments and instructor assistance, LMS integration, and learner analytics and dashboards. The product is in production across three distinct markets. Higher education and research, schools and public education authorities, and corporate and vocational training. The platform operates under GDPR, FERPA, COPPA and SOPIPA commitments. About the Role You will own Constructor Practice content portfolio of products (currently includes Practice: Science Labs and Practice: Schools Math and Literacy with future extension to other disciplines) end to end: strategy, roadmap, commercial performance and delivery. This is a lead product management position with full accountability for the product line rather than for a single feature area or squad. The scope is wider than a conventional PM role. You will sit in front of clients during presales, shape the go-to-market with sales and marketing, define the roadmap across a portfolio serving three different buyer types, and work with product owners and engineering to bring releases in on time and on budget. Where the product line needs something that has no owner, it is yours. Practice has an established customer base and a portfolio that has grown through acquisition and expansion into markets with little in common: a Swiss canton buying dyscalculia intervention for primary schools has almost nothing in common with Acronis training its partner ecosystem. Bringing coherence to that portfolio, deciding what to invest in, what to standardize and what to retire, is the central problem of this role. Reporting and scope Reports to: Head of SI and Edu, Constructor Labs. Level: Lead Product Manager. You will lead the product team including product owners, engineers and subject matter experts, with a view to building a larger product team as the line grows. Product surface: all Constructor Practice content products, namely Science Labs, Calcularis, Grafari/Orthograph, Software & IT and Coding, in cooperation with the shared platform layer covering assessment, analytics, LMS integration and deployment. Markets: higher education and research institutions, schools and public education authorities, and corporate and vocational training providers. Interfaces: engineering and product owners, presales and sales, marketing, customer success and support, Constructor Tech engineering and product teams, Nexademy content team, Constructor Labs research, and Constructor Labs Solutions as an integration channel. The role is both outward and inward facing. You are expected to be in client conversations and in sprint reviews in the same week, and to carry what you learn in one into the other. Duties & Responsibilities : Product strategy. Set the direction for Practice across its three markets: where to invest, where to standardize on shared platform capability, and where a module should be sustained rather than developed. Maintain a defensible view of the competitive position against virtual lab providers, intervention software and hands-on technical training platforms. Roadmap and prioritization. Own a published roadmap with a clear rationale for sequencing, balancing client commitments, platform debt, regulatory requirements and new capability. Say no in a way that holds up, and keep the roadmap current as commitments change. Discovery and requirements. Work directly with teachers, learning designers, lab administrators, IT staff and corporate training leads to establish what the product needs to do. Translate that into specifications, acceptance criteria and measurable outcomes rather than feature lists. Delivery with engineering. Work with product owners and development teams through planning, sprint reviews and release. Hold scope, schedule and budget together, escalate early when one of the three has to give, and make the trade-off explicit rather than absorbing it quietly. Presales support. Act as the product authority in qualified opportunities: demonstrations, solution design, technical objection handling, RFP and tender responses, security and compliance questionnaires. Judge which client-specific requests are viable and which are not. Go-to-market. Own positioning, messaging and the launch plan for each release and module, working with marketing and sales enablement. Produce the materials that let the sales team sell Practice without you in the room. Client relationships. Run a regular cadence with reference and strategic accounts, gather structured feedback, manage expectations on committed features and turn successful deployments into case studies and references. Pricing and commercials. Own the pricing and packaging model across modules and market segments, with input on licensing, bundling within the Constructor learning suite, and the commercial terms of custom work. Compliance and trust. Keep the product aligned with GDPR, FERPA, COPPA and SOPIPA obligations and with accessibility requirements, working with legal and security. Child-facing products in public education carry a higher bar, and meeting it is part of the roadmap. Performance measurement. Instrument the product, track adoption, engagement and learning outcomes, and use the evidence to decide what to build next and what to stop. Qualifications & Experience: Product ownership at scale. Five or more years in product management, including at least three owning a B2B SaaS product line with revenue accountability rather than a single feature area. Education or adjacent domain. Experience with EdTech, assessment, e-learning, corporate L&D tooling or another domain where the buyer, the administrator and the end user are three different people with different measures of success. Delivery discipline. A track record of shipping on committed dates and budgets with agile teams, working through product owners and engineering leads, and managing the scope conversations that make that possible. Commercial fluency. Comfort in front of clients and in presales, with the ability to run a demonstration, defend a roadmap position and contribute to pricing and packaging decisions. Technical credibility. Enough depth in cloud platforms, LMS integration standards such as LTI and SCORM, APIs and analytics to hold your own with engineering and with a client's IT team, without needing to write the code yourself. Evidence-based decisions. Fluency with product analytics and experimentation, and the judgement to distinguish a signal worth acting on from a loud customer. Portfolio judgement. Experience managing several products or modules at once, and a willingness to make and defend investment and retirement decisions. Languages. Business-fluent English. German is a bonus, given the Swiss, German and Austrian school and public-sector customer base. Communication. Written and verbal clarity with audiences ranging from a primary school teacher to a university CIO to a development team. Nice to have Experience with virtual labs, simulation environments or browser-based development and IT training environments. Background in special educational needs, learning intervention or evidence-based pedagogy, particularly dyscalculia or dyslexia support. Familiarity with public-sector education procurement in DACH, including cantonal and Länder-level buying. Experience with student data privacy regimes (GDPR in an education context, FERPA, COPPA, SOPIPA) and WCAG accessibility conformance. Prior work in a group structure where a product is sold both directly and through an integration or services channel. A background in teaching, instructional design or learning science. What we offer A product line with an established base , in production with universities, public education authorities and corporate academies across Europe and beyond. Genuine end-to-end ownership , from strategy and pricing through to release, without the role being split across a commercial owner and a delivery owner. Access to our researchers , including principal investigators and education methodologists from Constructor Labs, and the ability to route applied research questions into the Labs. Salary and annual bonus tied to the product line's commercial and delivery targets. The band is competitive for a lead product role in DACH or the UK and depends on location and experience. A distribution channel beyond direct sales , through Constructor Labs Solutions and the partner network.

Location: Bulgaria About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Constructor Practice is the hands-on practice platform within the Constructor Technology learning suite, alongside Learn, Assess, Proctor, Schedule and Groups. It spans an unusually broad portfolio: curriculum-aligned virtual science labs; the evidence-based intervention products Calcularis (numeracy and dyscalculia), Grafari/Orthograph (literacy and dyslexia); and browser-based Software & IT and Coding labs for technical training. Shared capabilities include cloud-based hands-on environments with no installation, automated assessment and grading, group assignments and instructor assistance, LMS integration, and learner analytics and dashboards. The product is in production across three distinct markets. Higher education and research, schools and public education authorities, and corporate and vocational training. The platform operates under GDPR, FERPA, COPPA and SOPIPA commitments. About the Role You will own Constructor Practice content portfolio of products (currently includes Practice: Science Labs and Practice: Schools Math and Literacy with future extension to other disciplines) end to end: strategy, roadmap, commercial performance and delivery. This is a lead product management position with full accountability for the product line rather than for a single feature area or squad. The scope is wider than a conventional PM role. You will sit in front of clients during presales, shape the go-to-market with sales and marketing, define the roadmap across a portfolio serving three different buyer types, and work with product owners and engineering to bring releases in on time and on budget. Where the product line needs something that has no owner, it is yours. Practice has an established customer base and a portfolio that has grown through acquisition and expansion into markets with little in common: a Swiss canton buying dyscalculia intervention for primary schools has almost nothing in common with Acronis training its partner ecosystem. Bringing coherence to that portfolio, deciding what to invest in, what to standardize and what to retire, is the central problem of this role. Reporting and scope Reports to: Head of SI and Edu, Constructor Labs. Level: Lead Product Manager. You will lead the product team including product owners, engineers and subject matter experts, with a view to building a larger product team as the line grows. Product surface: all Constructor Practice content products, namely Science Labs, Calcularis, Grafari/Orthograph, Software & IT and Coding, in cooperation with the shared platform layer covering assessment, analytics, LMS integration and deployment. Markets: higher education and research institutions, schools and public education authorities, and corporate and vocational training providers. Interfaces: engineering and product owners, presales and sales, marketing, customer success and support, Constructor Tech engineering and product teams, Nexademy content team, Constructor Labs research, and Constructor Labs Solutions as an integration channel. The role is both outward and inward facing. You are expected to be in client conversations and in sprint reviews in the same week, and to carry what you learn in one into the other. Duties & Responsibilities : Product strategy. Set the direction for Practice across its three markets: where to invest, where to standardize on shared platform capability, and where a module should be sustained rather than developed. Maintain a defensible view of the competitive position against virtual lab providers, intervention software and hands-on technical training platforms. Roadmap and prioritization. Own a published roadmap with a clear rationale for sequencing, balancing client commitments, platform debt, regulatory requirements and new capability. Say no in a way that holds up, and keep the roadmap current as commitments change. Discovery and requirements. Work directly with teachers, learning designers, lab administrators, IT staff and corporate training leads to establish what the product needs to do. Translate that into specifications, acceptance criteria and measurable outcomes rather than feature lists. Delivery with engineering. Work with product owners and development teams through planning, sprint reviews and release. Hold scope, schedule and budget together, escalate early when one of the three has to give, and make the trade-off explicit rather than absorbing it quietly. Presales support. Act as the product authority in qualified opportunities: demonstrations, solution design, technical objection handling, RFP and tender responses, security and compliance questionnaires. Judge which client-specific requests are viable and which are not. Go-to-market. Own positioning, messaging and the launch plan for each release and module, working with marketing and sales enablement. Produce the materials that let the sales team sell Practice without you in the room. Client relationships. Run a regular cadence with reference and strategic accounts, gather structured feedback, manage expectations on committed features and turn successful deployments into case studies and references. Pricing and commercials. Own the pricing and packaging model across modules and market segments, with input on licensing, bundling within the Constructor learning suite, and the commercial terms of custom work. Compliance and trust. Keep the product aligned with GDPR, FERPA, COPPA and SOPIPA obligations and with accessibility requirements, working with legal and security. Child-facing products in public education carry a higher bar, and meeting it is part of the roadmap. Performance measurement. Instrument the product, track adoption, engagement and learning outcomes, and use the evidence to decide what to build next and what to stop. Qualifications & Experience: Product ownership at scale. Five or more years in product management, including at least three owning a B2B SaaS product line with revenue accountability rather than a single feature area. Education or adjacent domain. Experience with EdTech, assessment, e-learning, corporate L&D tooling or another domain where the buyer, the administrator and the end user are three different people with different measures of success. Delivery discipline. A track record of shipping on committed dates and budgets with agile teams, working through product owners and engineering leads, and managing the scope conversations that make that possible. Commercial fluency. Comfort in front of clients and in presales, with the ability to run a demonstration, defend a roadmap position and contribute to pricing and packaging decisions. Technical credibility. Enough depth in cloud platforms, LMS integration standards such as LTI and SCORM, APIs and analytics to hold your own with engineering and with a client's IT team, without needing to write the code yourself. Evidence-based decisions. Fluency with product analytics and experimentation, and the judgement to distinguish a signal worth acting on from a loud customer. Portfolio judgement. Experience managing several products or modules at once, and a willingness to make and defend investment and retirement decisions. Languages. Business-fluent English. German is a bonus, given the Swiss, German and Austrian school and public-sector customer base. Communication. Written and verbal clarity with audiences ranging from a primary school teacher to a university CIO to a development team. Nice to have Experience with virtual labs, simulation environments or browser-based development and IT training environments. Background in special educational needs, learning intervention or evidence-based pedagogy, particularly dyscalculia or dyslexia support. Familiarity with public-sector education procurement in DACH, including cantonal and Länder-level buying. Experience with student data privacy regimes (GDPR in an education context, FERPA, COPPA, SOPIPA) and WCAG accessibility conformance. Prior work in a group structure where a product is sold both directly and through an integration or services channel. A background in teaching, instructional design or learning science. What we offer A product line with an established base , in production with universities, public education authorities and corporate academies across Europe and beyond. Genuine end-to-end ownership , from strategy and pricing through to release, without the role being split across a commercial owner and a delivery owner. Access to our researchers , including principal investigators and education methodologists from Constructor Labs, and the ability to route applied research questions into the Labs. Salary and annual bonus tied to the product line's commercial and delivery targets. The band is competitive for a lead product role in DACH or the UK and depends on location and experience. A distribution channel beyond direct sales , through Constructor Labs Solutions and the partner network.