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Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy. You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role.   WHAT YOU'LL ACHIEVE: - Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline. - Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path. - Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate. - Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps. - Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature.   SKILLS YOU'LL NEED TO BRING: - Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles. - Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room. - AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working. - Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria. - Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve. - Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles.   NICE TO HAVES: - Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions. - Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals. - Prior experience selling to commercial accounts in productivity, collaboration, or workflow software. - Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and are enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €144,000 - €156,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite   A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Madrid 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. As our Account Executive Enterprise, you will be instrumental in shaping Mistral’s adoption with our largest customers across the Public Sector. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What You Will Do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising PS enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   What We're Looking For:   - 7-10 years experience in Sales for Public Sector (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English & Spanish, additional language welcome (e.g. German, French, etc.) - Outstanding negotiation and communication skills 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.

RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. Your Mission & Who We Are Looking For: — Proven track record in production ML with 5+ years in Data Science and deployed models that moved real business metrics. — Building models that predict LTV, conversion, and user behavior across 770 million users, impacting advertiser ROAS and publisher revenue. — Deep learning as primary tool with strong hands-on experience in PyTorch or TensorFlow and production deployment handling 1M+ daily predictions. — Full ML lifecycle ownership from data extraction using Trino, Spark, or AWS Athena, through model development, A/B validation, to production deployment. — Experience with Airflow or model hosting is a strong plus. — Fluent in Python and data at scale, comfortable with pandas/polars, numpy, scikit-learn, LightGBM, CatBoost, XGBoost, and advanced SQL skills. — Ability to translate product requirements into ML logic and explain model behavior and impact to non-technical stakeholders. — AdTech experience is a strong plus. What’s in It for You? — Relocation support to Hamburg, Germany for worldwide talent. — Opportunity to build infrastructure behind impactful adtech platform reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects impacting 770M users and pushing adtech boundaries. — Fast-paced environment with multiple daily solution deployments and learning from results. — Collaborative culture with diverse global team from over 40 countries. — Enjoy daily victories and energetic work environment.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Responsibilities Design, build, and maintain backend services and REST APIs using Python(Django/FastAPI) Write efficient queries and manage data models in PostgreSQL Work with Redis for caching, queues, and improving service performance Collaborate with frontend and QA engineers to ship end-to-end features Write clean, tested, well-documented code and participate in code reviews Debug and optimize existing services for performance and scale Work with large datasets related to blockchain transactions (exposure to tools like ClickHouse is a plus) Required Skills Strong fundamentals in Python and object-oriented programming Understanding of Django/FastAPI or any Python web framework Working knowledge of relational databases (PostgreSQL preferred) — schema design, indexing, query optimization Basic understanding of caching concepts and tools like Redis Understanding of REST API design principles Strong problem-solving and DSA fundamentals (arrays, trees, graphs, hashing) Familiarity with Git and collaborative version control workflows Good to Have Exposure to Docker/containers Familiarity with message queues (Celery, Kafka, RabbitMQ) Personal projects, open-source contributions, or competitive programming profile Curiosity about blockchain/crypto — no prior crypto knowledge required Exposure to relevant AI tools (e.g., GitHub Copilot, Claude, Cursor, or similar AI-assisted coding tools) Eligibility Final year (graduating 2027) B.Tech/B.E./Dual Degree students From IIT / NIT / IIIT only CSE, IT, or closely related computer science branches only Strong academic record and demonstrated coding ability (via projects, competitive programming, or coursework) Preference given to candidates with open-source contributions, external/personal projects beyond academic coursework, and prior internship experience           Duration: 1 year        Work Mode: Hybrid (3 days/week in office, 2 days work-from-home)        Stipend: [As per company policy]        Post-internship: High performers may be offered a full-time role, subject to a 2-year service lock-in period ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: APAC 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. What You'll Do Design and develop strategies and product enhancements for the global P2P business (ex-Hong Kong) to align with business growth objectives and drive their implementation. Establish effective growth strategies by integrating real business scenarios with data analysis; gain in-depth understanding of global P2P market characteristics, address user needs and pain points across each market, and enhance product usability and overall user experience. Build a user risk control and quality management system, establish standardized user operations mechanisms, identify high-risk user profiles through effective risk control strategies, and drive the refinement and upgrade of risk control models. Maintain strong data sensitivity and establish a comprehensive business funnel data analysis framework; stay current with industry and market trends, continuously produce analytical reports and actionable strategies, and provide guidance for product upgrades and business direction. 为非香港全球P2P业务设计和制定符合业务发展的策略和技术功能，并推进落地执行； 建立有效的业务增长策略，能够结合业务实际场景和数据分析进行综合应用；同时深入了解全球P2P市场的特性，解决每个市场用户需求和痛点，打造产品易用性和用户体验； 搭建用户风控和质量管理体系，建立标准化的用户运营机制，通过有效的风控策略识别出高危用户特征，驱动风控模型完善与升级； 对数据保持敏感性，建立完善的业务漏斗数据分析体系，能够快速了解行业市场动态，并持续输出分析报告和对应打法，为产品升级及业务方向提供指导性意见 Who You Are Bachelor's degree or above; candidates with 7+ years of experience in internet finance, blockchain, or digital currency-related industries are preferred, as are those with extensive operations management experience and exposure to multiple global markets. Proficiency in both Chinese and English as working languages. A strong hunger to grow, excellent industry acuity, deep frontline business involvement, highly proactive with ideas, drive, and the ability to execute. Strong logical thinking with exceptional strategic, analytical, and problem-solving skills; outstanding communication and coordination abilities, strong teamwork, a high sense of responsibility, and the ability to perform well under pressure. 本科以上学历，7年以上互联网金融、区块链、数字货币相关行业从业经验者优先，有丰富的运营管理经验者优先，有全球诸多市场工作经验者优先； 中文、英文都能作为工作语言； 保持饥饿感，优秀的行业敏感度，深入业务一线，主动性强，有想法有动力且可落实； 逻辑思维能力强，具备很强的策略思考、分析和问题解决能力，突出的沟通协调能力、团队协作能力，责任感和抗压能力强 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! 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: United Kingdom; Dublin; Tokyo; United States; New York; Los Angeles; Poland; London; Boston; San Francisco; Washington, D.C. Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. WHAT YOU'LL DO: - Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems - Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows - Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks - Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite - Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. REQUIREMENTS - Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale - 6+ years of backend software engineering experience building production systems at scale - Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) - Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines - Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems - Track record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: - Trust & Safety, Content Moderation, or Integrity engineering experience - MLOps experience: deployment, monitoring, and versioning of ML models - Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures - Familiarity with React or modern frontend frameworks LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Whizz Whizz is the largest e-bike subscription service for gig delivery workers in North America. We rent maintained, insured e-bikes to independent couriers on a monthly subscription. We operate in six states, with New York as our largest market, and employ 100+ people. Purpose of the Role The Head of Finance owns the company's finance and accounting function. This is an operational role. The priority is accurate reporting, disciplined budgeting, and financial control across a physical, asset-heavy business. Responsibilities Financial reporting. Own the preparation and accuracy of the P&L, cash flow statement, and balance sheet. Run the monthly close on schedule and ensure the reporting package is consistent, reconciled, and usable by management. Inventory and fleet accounting. Own how inventory and fixed assets are recorded and reflected in the financial statements. This includes maintaining and improving the capitalization and depreciation policy for bikes, batteries, and spare parts, managing the fixed asset register, accounting for disposals and write-offs, and reconciling operational inventory records against the general ledger. Budgeting and financial model. Maintain the company's financial model for internal planning purposes. Build the annual and quarterly budgets with department heads, track actual performance against plan, and variances with recommended corrective action. Financial control. Build the financial control function: approval and authorization procedures, spend controls, segregation of duties, and regular controls over cash, receivables, and payables. Team and external partners. Manage in-house accountants and the outsourced accounting firm, define the division of work between them, and hold both to agreed deadlines and quality standards. Compliance and operations. Oversee payroll, multi-state tax registrations and filings, statutory reporting, and audit readiness. Oversee accounts payable, accounts receivable, collections, and payment processing operations. Cross-functional Work The Head of Finance works directly with the operations, supply chain, and product teams on projects such as pricing changes, new city launches, vendor contracts, warehouse and inventory processes, and payment system changes. The role is expected to identify and address the financial and accounting implications of these projects at the design stage. Requirements 7+ years in accounting and finance, including experience owning a full monthly close as Controller, Head of Finance, or equivalent. Experience in the US market. Experience with inventory and fixed asset accounting in a physical business. Multi-state payroll and tax compliance experience. Experience managing accounting staff and outsourced providers. Experience in a company where processes had to be built rather than maintained. Strong systems skills, including accounting system implementation or migration. What We Offer Competitive salary and benefits. Fully remote work in the rapidly growing business. Full ownership of the finance and accounting function. Direct reporting line to the CEO.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Reporting to the Director of Global Vulnerability Management, you will serve as a Senior Security Research Engineer and technical lead within SIE’s Global Vulnerability Management team. You will lead complex work that advances our Threat Exposure Management capability and supports our transition to a Continuous Threat Exposure Management operating model, while remaining directly engaged in vulnerability research, analysis, security validation, prioritization, and remediation support. You will partner across Information Security, engineering, technology, and business teams to improve how SIE discovers, prioritizes, validates, and mobilizes action on security risks. You will translate annual TEM goals into defined workstreams, delivery plans, success measures, and repeatable operating practices that improve visibility, decision-making, remediation outcomes, and program scale. Responsibilities Lead complex Global Vulnerability Management workstreams that advance SIE’s Threat Exposure Management capability and transition toward a Continuous Threat Exposure Management operating model across discovery, prioritization, validation, and mobilization. Translate annual TEM goals into defined delivery plans, milestones, success measures, dependencies, and repeatable operating practices. Monitor progress, identify barriers, and adjust execution to improve outcomes. Lead hands-on vulnerability research and technical analysis to confirm security conditions, eliminate false positives, characterize exploitability and business impact, and provide actionable remediation or mitigation guidance. Improve the discovery and assessment of vulnerabilities across SIE network, cloud, endpoint, application, container, and other technology environments. Develop risk-based prioritization using vulnerability and threat intelligence, exploitation evidence, asset and business context, control effectiveness, and remediation considerations. Lead security validation activities and develop proofs of concept when appropriate to distinguish material risk, evaluate defensive controls, and support informed decisions. Partner with Information Security teams and technology owners to mobilize remediation, clarify ownership, establish effective handoffs, resolve barriers, and measure progress through remediation, mitigation, or accepted disposition. Evolve GVM platforms, integrations, data, analytics, automation, and AI-enabled workflows to improve coverage, data quality, consistency, decision speed, and operational scale. Communicate vulnerability trends, material risks, remediation progress, and program outcomes to technical, operational, and leadership audiences through clear reports and recommendations. Mentor engineers and partner teams, contribute to technical standards and procedures, and improve the quality of vulnerability analysis, validation, documentation, and delivery. Maintain current knowledge of relevant vulnerabilities, exploitation techniques, threat activity, security technologies, and industry practices. Some travel may be required. Qualifications 8+ years of relevant experience in information security, information technology, systems engineering, or a related field, including substantial experience in vulnerability management, security research, or exposure management. Bachelor’s degree or equivalent in computer science, information security, or a related discipline. Experience leading complex technical workstreams across multiple teams, translating objectives into delivery plans, and achieving measurable outcomes without relying on direct reporting authority. Hands-on experience with vulnerability research, technical analysis, security validation, risk-based prioritization, and remediation or mitigation guidance. Experience assessing vulnerabilities across several technology domains, such as operating systems, networks, cloud services, applications, endpoints, containers, databases, or hybrid infrastructure. Experience with vulnerability discovery, assessment, validation, or exposure-management platforms and their supporting integrations. Knowledge of adversarial tactics, exploitation techniques, threat intelligence, and attack frameworks such as MITRE ATT&CK, with the ability to apply that information to vulnerability prioritization. Experience using scripting, programming, APIs, or automation to improve security analysis and operational workflows. Relevant technologies may include Python, SQL, Bash, PowerShell, JavaScript, or comparable languages. Experience analyzing and contextualizing security data to connect technical findings with asset, service, business, threat, control, and remediation information. Familiarity with software engineering practices such as version control, testing, code review, CI/CD, reusable components, and controlled production releases. Ability to communicate complex security conditions, priorities, tradeoffs, and recommendations clearly to technical, operational, and leadership audiences. Experience mentoring engineers or analysts and influencing technical practices across teams. Desired qualifications Experience helping evolve a traditional vulnerability-management function toward a TEM or CTEM operating model. Experience with continuous security validation, adversarial exposure validation, exploit research, or proof-of-concept development. Experience securing cloud, container, application, or build-pipeline environments and integrating security capabilities into engineering workflows. Experience with security-data and analytics platforms such as Snowflake, Domo, or comparable technologies. Experience applying automation, advanced analytics, or AI-enabled capabilities to vulnerability analysis, prioritization, validation, or remediation workflows. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $175,500 — $263,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Vietnam The Company Our client is a financial technology (FinTech) company specifically focused on bridging the gap between man and machine when it comes to investing. They are building an AI-driven trading and investing platform covering stocks, futures, forex, and crypto. They develop quantitative strategies, portfolio models, copy trading solutions, and low-latency execution systems. Our client aims to be the world's most trusted AI trading platform where sophisticated market intelligence meets effortless execution, enabling every trader to compete with institutional-level strategies while maintaining full control over their investment decisions. The Role Our client is seeking a Senior Quantitative Developer to design, build, test, and deploy systematic trading strategies. The ideal candidate combines strong software engineering skills with quantitative finance and algorithmic trading experience. Key Responsibilities Develop and maintain quantitative trading strategies. Build backtesting, optimization, and portfolio construction frameworks. Implement walk-forward analysis, Monte Carlo testing, and robustness validation. Work with market data including equities, futures, forex, and crypto. Integrate machine learning models into trading workflows. Collaborate with Java execution and platform engineering teams. Deploy research into production trading environments. Monitor strategy performance and improve risk-adjusted returns. Success Metrics Build 100+ validated strategy candidates annually. Develop production-grade research infrastructure. Improve portfolio Sharpe ratio and reduce drawdowns. Create scalable AI-driven trading models. Requirements 5+ years Python development experience. Strong knowledge of Pandas, Polars, NumPy. Experience with VectorBT, Backtrader, or QuantConnect LEAN. Strong statistics and quantitative finance knowledge. Portfolio optimization and risk management experience. Experience with futures, forex, equities, or crypto trading. Knowledge of PostgreSQL, TimescaleDB, and cloud environments. Git, Docker, CI/CD experience. Preferred Skills Machine learning (XGBoost, LightGBM, PyTorch). FIX protocol knowledge. Interactive Brokers, Alpaca, or LMAX integrations. Java or C++ exposure. Experience with institutional trading systems. Benefits Competitive salary. Performance bonus. Stock options/equity consideration. Opportunity to work on a global AI trading platform.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Solutions Product Marketing Manager to define and own Baseten's up-market, enterprise, and industries go-to-market strategy. You'll build the playbook that helps Baseten win large, complex deals and the vertical go-to-market strategies that let us compete in Financial Services, and Health & Life Sciences, and the use cases that scale across all of them. This is a highly cross-functional, largely greenfield role. You'll partner closely with the Industries sales team, product marketing, demand gen, and executive leadership to build on our enterprise go to market motion. RESPONSIBILITIES Enterprise Deal Playbook & Buyer Enablement - Build the enterprise deal playbook and full bill of materials (BOM) — pricing guides, one-pagers, TCO/ROI guides, landing pages, and event/field collateral — mapped to every stage of the buyer's journey - Build the system for keeping every sales asset current — clear ownership, last-updated dates, and a refresh cadence - Develop industry-specific event concepts featuring anchor customers and AI-native accounts to build credibility with target executive audiences Vertical GTM & Industry Go-to-Market Kits - Build vertical sales kits and ICP/positioning frameworks for priority industries - Own industry-specific landing pages, messaging, and TCO guides, extrapolating from early AI-native accounts to larger enterprise targets - Design and help launch ABM experiments in partnership with demand gen Industries AE Enablement & Onboarding - Design role-specific onboarding for Industries AEs, including certifications, customer-grounded scenarios, and async, refreshable content - Build sales playbooks tied to real customer examples, and package assets into an AE-ready enablement motion (first call, competitive deals, legal/finance/procurement, TCO/ROI, self-hosted) - Become a trusted partner to the industries team so onboarding and enablement stay grounded in what sellers actually need REQUIREMENTS - 6+ years in product marketing, solutions marketing, or a related GTM function, ideally at a technical or infrastructure company - Experience building enterprise or vertical go-to-market motions — ICP definition, buyer journey mapping, and full-funnel sales collateral - Comfort translating technical, infrastructure-heavy concepts (inference, self-hosted deployment, TCO/ROI) into narratives for both technical buyers and non-technical stakeholders like legal, finance, and procurement - Track record designing and running sales enablement or onboarding programs for technical sellers - Strong cross-functional coordination skills — you can pull together sales, customer marketing, demand gen, and executives around a shared plan - Comfortable owning execution as well as strategy: landing pages, decks, one-pagers, and written content, not just frameworks - Thrives in ambiguity — this role is about building the enterprise motion from a fairly blank slate NICE TO HAVE - Experience in (or a fast ability to ramp on) financial services, manufacturing/industrial, or health/life sciences - Experience running or contributing to a Customer Advisory Board or executive champion program - Familiarity with AI/ML infrastructure, inference, or developer tools - Experience partnering with technology partners on co-marketing or joint events BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote - US About the Job: Feature management and experimentation have converged into a single market, and the buying dynamic at the top has shifted. Engineering teams are no longer the sole evaluator — data scientists and data-focused PMs now carry equal weight on the largest deals. The bar for statistical depth, warehouse ergonomics, and experiment-first workflows is rising quickly. In traditional experimentation we have built the foundation: a trusted runtime control plane, a growing experimentation engine, and early warehouse-native capabilities. We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations. Closing that gap is the job. In AI experimentation, we have an early lead: the AI-native tooling category has invested in evaluation and conceded production experimentation, and we already have the primitives (statistical significance, multi-armed bandits, experiment-aware guardrails) that no AI-native competitor ships. Extending that lead is the other half of the job. This leader will own whether LaunchDarkly becomes the definitive experimentation platform in an AI-accelerated world. Responsibilities: Own the Experimentation pillar. Direct leadership of the Product team. Partner with Engineering and Design counterparts in a triad model. Accountable for the pillar's strategy, roadmap delivery, and commercial outcomes. Make the investment case across the in-product experimentation experience, the warehouse-native analysis layer, and the infrastructure that scales them. Make experimentation the measurement layer of the AI SDLC. Partner with our AI product, observability, and core feature management leaders to productize the capabilities we already have as AI-native primitives. Build a closed loop from offline evaluation through production experiments, to automatic promotion and rollback, to a self-improving feedback loop for agents. Win the high-maturity buyer. Earn the technical confidence of senior data scientists and data-focused PMs. Decide what statistical depth, warehouse coverage, and experiment-first workflow capabilities are non-negotiable, and get them shipped on a timeline that wins pivotal reference deals. Make warehouse-native a weapon. Expand coverage across major data warehouses and query layers. Deliver parity on analysis-only mode, variance reduction, ratio and percentile metrics, exposure validation, and arbitrary-window analysis. Operate a high-performing function. Run a disciplined roadmap, ship predictably against quarterly commitments, drive AI-assisted engineering productivity inside the org, and hire where gaps exist. Be the external face of the category. Credibly represent the product with Data scientists, PMs, experimenters, analysts, and partners. Translate the strategy to the field and equip sales to win head-to-head. How you'll be measured: Win rate on experimentation-involved deals, especially head-to-head competitive evaluations — step change in the first year, sustained improvement thereafter. Reference-grade customers at the top of the maturity curve, including named strategic logos. Monthly active customers and active-account ARR growth against plan. Experimentation attach rate on new and expansion enterprise deals. Engineering throughput — roadmap delivery velocity and AI-assisted development adoption inside the function. Qualifications: Senior product leader (GM, VP, or equivalent) with a track record of owning a product line that competes on statistical rigor and data infrastructure. Deep, operator-level fluency in experimentation methodology: causal inference, variance reduction, ratio metrics, sequential testing, exposure design, multi-armed bandits, and composite/multi-objective metrics — and the realities of running these at scale against production data warehouses and against non-deterministic systems where output variance, not just user variance, drives sample-size and significance decisions. Has earned credibility with data science leaders and experimentation specialists at sophisticated organizations — and can recruit them. Has led a function that includes engineering, design, and data science. Comfortable setting a multi-quarter roadmap, championing investment allocation, and reporting results to an executive team and board. Clear, direct communicator. Decides fast with incomplete information. Prefers shipping and learning to requirements documents. Opinionated about where experimentation is going in an AI-native world — and specifically, how agents and autonomous systems will use experimentation infrastructure differently than human teams do. Preferred Qualifications: You have built or scaled experimentation at an organization where it was core infrastructure, not a secondary analytics capability. You have personally won competitive evaluations where a sophisticated data-science organization was the deciding voice. You have shipped warehouse-native data products and understand the operational realities of running experiments directly against customer data infrastructure. You see experimentation as how software teams prove that any change — whether built by a person or an AI agent — actually worked. That evidence layer is core infrastructure, not a reporting afterthought. Pay: Target pay ranges based on Geographic Zones* for Level M5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 301,000 - $414,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 271,000 - $373,000 ** Zone 3: All other US locations - $ 256,000 - $352,000 ** All Zones inclusive of 20% Bonus LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE: Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders. We are seeking a Strategic Finance professional to join Replit's growing team in Foster City, CA. In this critical role, you'll work in a lean team supporting high-impact strategic and operational initiatives across the business to drive data-driven decision making. You’ll partner directly with executive leadership and the Board to align financial strategies with our ambitious growth objectives. This role reports to the Head of Finance. ROLES & RESPONSIBILITIES: You'll contribute to critical projects across three main core areas: Internal Strategic & Operational Initiatives - Cross-Functional Partnership: Partner with Sales, Marketing, Support, Product, and Engineering teams to build financial models and analyses that drive organizational decision-making - New product launches: Build and present financial models, business cases, and investment analyses for new product launches - GTM Finance: Partner with go-to-market leadership to drive growth through sales capacity planning, funnel and pipeline analytics, pricing strategy and resource allocation - Pricing & Packaging: Analyze pricing and packaging strategies using quantitative and qualitative frameworks to recommend optimal approaches - Unit Economics: Recommend strategies that balance growth investments with operational efficiency to achieve long-term margin targets - International Growth: Analyze global expansion opportunities including localization, regional pricing strategies, go-to-market approaches, and commercial partnerships - Enterprise Sales: Partner with sales leadership to scale enterprise sales operations and strategy Corporate Strategy & Planning - Long-Range Planning: Collaborate with FP&A team on forecasting, financial planning, long-range planning, growth headcount planning, and overall financial strategy - Board Reporting: Assist in preparing quarterly board materials and presentations - Market Insights: Conduct competitive analysis and industry research to inform strategic planning Corporate Development & Investor Relations - Corporate Development: Support corporate development initiatives including M&A, joint ventures, and strategic partnerships from initial sourcing through execution and integration - Investor Relations & Fundraising: Support investor relations activities including fundraising, investor communications, and preparation of materials for investors REQUIRED SKILLS AND EXPERIENCE: - 3-6 years in investment banking, private equity, consulting, business operations, and/or strategic finance - Experience with SQL, Python, or other data analysis tools - An entrepreneurial mindset with the ability to operate in ambiguous, fast-moving environments - Self-directed with a strong work ethic and ability to manage multiple projects under tight deadlines - Expert-level financial modeling skills and proficiency with business intelligence tools - Strong presence and communication skills - Exceptional business judgment with the ability to synthesize complex data into actionable strategic insights Join Replit and help shape the financial future of a platform that's revolutionizing how people learn, build, and deploy software with AI. BONUS POINTS: - Experience in strategic finance or related field at a scaling technology company - Current Replit user - Background in AI or enterprise technology companies - Understanding of compute and infrastructure costs in tech environments This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: United Kingdom; Ireland; Poland Workplace: Remote The Role We are looking for a Senior Partner Deployed Engineer to join the Customer Solutions team, focused on building Coder’s partner ecosystem across EMEA. This is a new function at Coder, modeled on the Forward Deployed Engineer role pioneered by companies like Palantir and now the fastest-growing technical role at frontier AI companies. The difference: instead of embedding with a single customer to deploy a platform, you embed with strategic partners to help them understand, position, and deliver Coder’s platform across their entire customer base. You are part Field CTO, part Industry Strategist, part Technical Specialist, and part Partner Relations Lead. You will be the technical authority within our EMEA partner ecosystem: setting the vision for how Coder fits into each partner’s AI, cloud, and modernization offerings, co-creating the GTM sales plays that partner sellers take to market, building the demonstrations and workshops that generate pipeline, and producing the Partner Relations content that establishes Coder’s technical brand in the ecosystem. This is not a support role. You are equally comfortable holding a strategic roadmap conversation with a partner CTO and debugging a Kubernetes deployment in a partner’s lab in the same afternoon. You are energized by the challenge of building a new category through partnerships, motivated by the multiplied impact of enabling an entire ecosystem rather than a single customer, and capable of operating with full autonomy in a fast-moving startup environment. What You’ll Do - Serve as the strategic technical thought partner to EMEA partner leadership, including practice leads, CTOs, and solutions architects at global systems integrators, regional cloud consultancies, and hyperscaler field teams. Own the technical relationship and set the vision for how Coder fits into each partner’s AI and modernization portfolio. - Co-create sales plays tailored to each partner’s customer base, vertical focus, and services capabilities. Author Working Backwards outcome proposals for strategic partner-customer combinations that translate AI Development Infrastructure into deal-level urgency. - Develop and deliver workshops, Builder Labs, and partner-hosted enablement sessions as the primary awareness and demand generation vehicle for the EMEA ecosystem. Build hands-on demonstration environments and interactive experiences that partners can use independently. - Intervene directly on the highest-value partner-attached deals across EMEA: co-sell calls, technical discovery, PoV scoping, architecture review, and technical win support. Own the engagement until the partner’s team can carry it independently. - Transform bespoke partner enablement sessions into structured LMS modules and certification tiers that scale across the EMEA partner base without requiring live PDE support for each new partner. - Produce “better together” reference architectures for strategic partner combinations across cloud providers and AI platforms. Include deployment diagrams, network topology, IAM patterns, and operational runbooks that partner SAs can hand directly to customers. - Codify each successful partner engagement into a repeatable GTM play: trigger conditions, discovery questions, positioning framework, demo script, PoV scope template, and expected outcomes. Build a playbook library that a new PDE or partner seller can pick up and run. - Build AI-powered self-service tools that automate high-volume PDE activities: Opportunity Brief Generator, PR/FAQ Generator, Workshop-in-a-Box deployment, and demo site builder. - Produce a monthly partner intelligence digest from EMEA engagements: what customers are asking for, how competitors are positioning, where integrations are missing, which vertical use cases are emerging. Distribute to Product, Engineering, and GTM leadership. - Own the EMEA-relevant portions of the joint technical integration roadmap with strategic partners. Define priorities cross-functionally with Product and Engineering based on field signals from the EMEA market. - Create and publish Partner Relations content, the ecosystem equivalent of Developer Relations: technical blog posts, cookbooks, partner ecosystem conference talks, enablement videos, and workshop recaps. Build Coder’s technical brand within the EMEA partner community. - Contribute to cloud marketplace product listing stewardship, competency maintenance documentation, and CSP co-build technical requirements as they apply to EMEA-specific partner and compliance contexts. What We’re Looking For - 7+ years of experience in a combination of Forward Deployed Engineering, Solutions Architecture, Field CTO, Technical Consulting, or Developer Relations roles at an infrastructure, developer tools, or AI company - Demonstrated experience helping partners or customers understand and adopt products in emerging or undefined categories, not just executing playbooks for established ones - Proven hands-on experience designing and deploying cloud infrastructure on at least one major cloud provider (AWS, Google Cloud, or Microsoft Azure), with production-level Kubernetes and Terraform depth. You have done the work and can speak to it with specificity. - 2+ years deploying or operating AI coding agents in a production or near-production environment: you understand how agent loops execute, where credentials live, and what governance and audit requirements look like in a European enterprise context - Ability to articulate the architectural difference between workspace-local agent tooling and a centralized agentic harness, and to explain why that distinction matters to a security, compliance, or data sovereignty stakeholder - Experience working with channel or technology partners in a co-sell model: hyperscaler partner programs, GSI/RSI partnerships, or VAR/distributor ecosystems in EMEA markets - Experience building repeatable technical GTM assets that scaled beyond your personal delivery: sales plays, enablement curricula, reference architectures, or technical content programs - Executive communication and Field CTO credibility: you can hold a technical vision conversation with a partner CTO and a deal-level architecture review with an SE in the same day, in English and ideally at least one additional European language - Strong written communication: you can produce a Working Backwards PR/FAQ, a technical architecture document, and a blog post without those being separate skills requiring separate people - Self-directed, analytically minded, and comfortable operating with full autonomy. You will define processes that don’t exist, build tools that haven’t been scoped, and create a function from first principles in a new region. Bonus Points (Bonus tacos? That’s how we say thanks at Coder. Ask us about it.) - Prior Forward Deployed Engineer experience at a platform company (Palantir, Scale AI, frontier AI lab, or equivalent embedded deployment model) - Track record of public technical advocacy: blog posts, conference talks, open-source contributions, or developer/partner community engagement - Experience with hyperscaler partner programs (e.g., ISV Accelerate, strategic collaboration agreements, co-sell programs) at an operational level - Familiarity with European regulatory environments: GDPR, DORA, NIS2, AI Act compliance requirements, and data sovereignty patterns for cloud-native deployments - Experience with air-gapped or network-isolated deployments common in European financial services, government, or defense contexts - Background in AI governance frameworks, session audit requirements, or SIEM integration for AI workloads - Experience with LLM gateway or proxy infrastructure (LiteLLM, OpenRouter, or equivalent) in a multi-team or enterprise context - Experience designing human-in-the-loop breakpoints or escalation patterns for autonomous agent workflows - Kubernetes certification (CKA, CKAD, or CKS) - Experience with Tailscale or similar overlay networking tools - Open-source contributions, particularly in CNCF, MCP, or AI agent ecosystems - Existing relationships with hyperscaler EMEA solutions architecture teams, European GSI technical practices, or AI infrastructure partner ecosystems - Fluency in German, French, or a Nordic language in addition to English What Success Looks Like - You have done the hard technical work before: deploying cloud-native infrastructure, navigating Kubernetes in production, building with Terraform, and operating in the complexity of large European enterprise environments. You bring that credibility into every partner conversation. - You can walk a partner CTO through how Coder enables parallelized AI agents in a regulated European enterprise, covering credential isolation, audit lineage, GDPR-compliant data handling, and escalation design, and turn that conversation into a joint GTM play their sellers can run next quarter. - You can walk into an unstructured partner relationship, assess the technical and commercial opportunity, and chart a path from first enablement session to first co-sourced deal without waiting to be told what to do. - You translate deep technical knowledge into assets that scale: reference architectures partners hand to their customers, enablement modules partners consume on their own, and GTM playbooks partner sellers run without PDE involvement. - You are as invested in the pattern behind the engagement as you are in the engagement itself. Every bespoke partner interaction produces a reusable artifact. Every field insight feeds back to product. You codify by instinct. - You make the ecosystem and the product better: your field experience shapes how Coder builds integrations, how partners deliver, and how the EMEA market understands AI Development Infrastructure as a category. Location: Remote EMEA (UK preferred) Department: Customer Solutions Reports to: Sr Manager, Solutions Engineering ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building new products that can reshape how finance teams operate. These products begin before the market playbook is obvious: the customer problem is still being sharpened, the product is evolving quickly, and the path from early signal to durable growth must be built. We are hiring a Product Marketing Manager, New Products to lead that work. You will be embedded with Product and Engineering from the earliest stages, using customer and market insight to help choose the audience, shape the product, define the story, and build the commercialization and adoption motion. This is not a launch-calendar or asset-production role. You will own the full business read for the product: customer problem, ICP, positioning, product readiness, launch, pipeline, activation, adoption, retention, proof, and the next product or GTM intervention. WHAT YOU'LL DO - Shape product strategy early. Bring customer, market, and competitive evidence into product decisions before the roadmap is fixed. Help the team identify the wedge, target segment, table stakes, differentiators, and highest-leverage problems to solve. - Find product-market clarity. Define the ICP, buyer, user, jobs to be done, workflow, alternatives, and reasons customers will switch or expand. - Own the product narrative. Build the canonical positioning, messaging, claims, proof, and competitive story. Translate technical and operational complexity into a clear customer value proposition without flattening how the product works. - Design the zero-to-one GTM. Determine how the product should enter the market, including audience, channel, pricing and packaging inputs, sales motion, self-serve motion, launch sequence, and adoption plan. - Lead launches end to end. Coordinate Product, Engineering, Sales, Growth, Creative, Communications, Support, and other partners around one launch strategy, readiness bar, and set of measurable outcomes. - Build commercialization, not just awareness. Create the programs, enablement, proof, and feedback loops that turn interest into qualified pipeline, activation, retained usage, expansion, and revenue. - Work deeply with Product and Engineering. Understand the product's architecture, data, constraints, and trust model well enough to influence tradeoffs and explain it credibly to both technical and business audiences. - Create the customer learning system. Develop direct relationships with buyers and users, run structured discovery, capture objections and product gaps, and turn what you learn into product and GTM decisions. - Own the business scorecard. Define leading and lagging indicators, build a clear operating read, diagnose what is moving or stuck, and recommend the next intervention. - Build proof and competitive intelligence. Develop customer evidence, use cases, benchmarks, and a current view of the market that improve both product decisions and GTM execution. - Use AI as an operating advantage. Apply AI to research, synthesis, analysis, content development, and repeatable workflows—and help the team raise its standard for speed and quality. - Create the new-products playbook. Build a repeatable method for taking an emerging product from customer signal to product-market clarity, launch, commercialization, and scaled growth. WHAT YOU'LL NEED - 6+ years of experience in B2B software product marketing, product management, growth, strategy, or another product-led GTM function, including significant ownership of a product or business outcome. - Demonstrated zero-to-one experience with a new product, category, platform, or business line—from early customer discovery through launch and adoption. - A record of influencing product strategy using customer, market, competitive, and performance evidence. - Strong customer instincts. You can run discovery, identify the real workflow and buying problem, and separate a loud request from a durable market signal. - Technical and operational fluency. You can learn a complex product, work credibly with Product and Engineering, and explain how it works to different audiences. - Exceptional written and verbal communication. You can produce a sharp product narrative, an executive recommendation, a launch plan, and a sales story that survives contact with customers. - Strong data literacy. You can define and interpret activation, adoption, retention, pipeline, conversion, revenue, and product-usage metrics and turn the findings into a decision. - Proven ability to lead senior partners across Product, Engineering, Sales, Growth, Creative, and Marketing without relying on formal authority. - High agency and comfort with ambiguity. You build the first version, test it with customers, make tradeoffs, and improve it quickly. - Fluency with AI tools as part of your everyday research, analysis, writing, and operating workflows. NICE TO HAVE - Experience in fintech, payments, accounts receivable, accounting, developer tools, data infrastructure, AI, or another technical and workflow-heavy category. - Experience taking a product from incubation through product-market fit and scaled commercialization. - Experience with both product-led and sales-led growth motions. - Experience contributing to pricing and packaging decisions. - Experience as an early or founding PMM, product manager, founder, or operator in a fast-moving product area. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Boston, MA Workplace: OnSite WHOOP is on a mission to unlock human performance and healthspan. Our Health Machine Learning team develops the algorithms and models that power health features used by millions of members. This role exists to scale that work: building and leading the engineering and science teams that bring SaMD products from research through validation, submission, and production deployment. As a Senior Manager, SaMD, you will own delivery and people outcomes across the machine learning engineers and applied ML scientists developing WHOOP's regulated health features. You will set direction for your teams, develop the next generation of leaders within the function, and partner deeply across regulatory, quality, clinical science, product, software, and firmware to deliver health products that meet a clinical-grade bar. You will be accountable for both the engineering velocity of your teams and the rigor required to operate inside a regulated medical device development environment (FDA, IEC 62304, ISO 13485, ISO 14971). Success in this role requires a profile with both ML and SaMD depth to evaluate your team's most important decisions, plus the people leadership skill to grow ICs, drive cross-functional alignment, and deliver with both pace and rigor in a regulated environment. RESPONSIBILITIES: - Own delivery, team health, and people outcomes across multiple workstreams within ML SaMD team - Translate department strategy into clear quarterly plans, milestones, and success criteria; align the team on the highest-leverage work and adapt deliberately as the business evolves - Build the team: lead hiring at scale, calibrate the bar for regulated development, and shape onboarding, leveling, and growth practices - Develop the next layer of leadership, coach junior and seniorICs, manage performance with clarity and care, and create the conditions for people to operate above their level - Set the standard for how regulated ML gets built at WHOOP: methodology, work quality, validation rigor, and audit readiness - Partner directly with regulatory, quality, product, software, and firmware leaders to align on roadmap, dependencies, and submission timelines; broker trade-offs between iteration speed and regulatory rigor - Own the risk posture for your function; anticipate execution, technical, and regulatory risks, design mitigation into the operating model, and keep senior leadership clearly informed of the most consequential decisions - Define and own the operating model for your function; planning cadences, design reviews, decision forums, data governance, and quality gates appropriate to a SaMD context - Build and continuously raise AI-enabled workflows that create measurable leverage across the team; for development, evaluation, documentation, traceability, and stakeholder communication - Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity. QUALIFICATIONS: - 7+ years of experience in ML, applied science, or software engineering, with 3+ years managing engineering and/or science teams - Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field - Demonstrated track record junior and senior ICs, including hiring, performance management, and developing people who in turn raise the bar around them - Deep familiarity with the ML development lifecycle: data collection, model training, evaluation, validation, deployment, and monitoring, sufficient to evaluate the most important technical and methodological decisions your team makes - Direct experience shipping algorithms or ML-enabled software in a regulated environment (Software as a Medical Device, medical device development, or comparable QMS-controlled product development under FDA, IEC 62304, ISO 13485, ISO 14971) - Fluency operating across regulatory, quality, and clinical stakeholders, including familiarity with V&V, traceability, change control, design history, and audit readiness in fast-moving ML programs - Demonstrated ability to set strategy and make timely prioritization calls under uncertainty, keeping the team focused on the highest-leverage work - Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence - Clear, high-signal communicator who can move fluidly between deeply technical ML/regulatory discussions and executive-level summaries of risk, trade-offs, and direction. 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.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: New York 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 We are seeking an experienced Engineering Lead to join our Inference API team. In this role, you will lead a new team dedicated to helping evolve our Inference APIs to enable a state of the art inference stack. You will help ship enterprise-level features, align on evolving API formats, and help improve specific modalities (audio, OCR, etc). You’ll work to scale the team as they grow, help prioritize and support work in a fast paced environment, and build a healthy team culture. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and unlock large business opportunities What You Will Do - Remove obstacles and create an environment where your team can focus on building solutions. - Translate product vision into technical reality, collaborating closely with the Product team. - Ensure applications are performant, stable, and responsive. - Uphold high code quality standards through reviews, testing, and automation. - Own the full software development process, from design to deployment. - Plan projects, including roadmaps, deadlines, and task allocation. - Collaborate with stakeholders across Engineering, Product, and Design. - Support team growth through hiring, onboarding, and mentorship. What We're Looking For - Experience building and managing engineering teams. - Proficiency in Python and at least one web framework (FastAPI, Django, Flask). - Proficiency in C#, Golang, TypeScript and at least one web framework. - Experience with large-scale distributed systems. - Experience working with cross-functional teams, such as Product, Design, and Business. - Knowledge of databases, caching mechanisms, and messaging systems. - Strong problem-solving abilities and attention to detail. - Ownership mindset and ability to ship products end-to-end. - Excellent communication skills and a low-ego, team-first attitude. 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability, cost, and reliability — and we've decided to take design authority over it ourselves. We're looking for a Technical Program Manager to own end-to-end execution of our silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp. You'll be working alongside a small group of domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. There is no process to inherit — you'll build the execution machinery this program runs on. This is a partner-heavy program by design. You'll drive a portfolio of external engagements — ASIC design services, IP vendors, foundry, and OSAT. You should have shipped chips before, know what a realistic silicon schedule looks like and its failure modes, and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic, you'll have Claude as a collaborator — we expect the TPMs on this team to push hard on what AI-assisted program management can look like. Key responsibilities Own the integrated silicon program plan — architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up. Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test. Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land the build / buy / license calls with engineering leadership. Build the execution mechanisms a silicon team needs — milestone definitions, risk and dependency tracking, design reviews, release management, exec reporting — and keep them lightweight enough that engineers actually use them. Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up, and inference/kernels/compiler teams for hardware-software co-design, so trade-offs land as coordinated decisions rather than late surprises. Own the post-silicon program — bring-up planning, ATE/test handoff, sample distribution, validation, and the path to production readiness. Develop and share AI-assisted approaches to program management — schedule and dependency modeling, spec and milestone consistency checking, partner-deliverable tracking, status synthesis. Minimum qualifications 8+ years in silicon/SoC program management, chip lead, or an equivalent role that owned a chip schedule end to end. Direct ownership of at least one program that taped out and reached production, with milestones you can speak to in detail — including where it slipped and what you did about it. Working technical fluency across the silicon lifecycle — front-end, DV, PD, DFT, foundry, packaging. Experience running external silicon partners — ASIC houses, IP vendors, foundry, or OSAT — including SOW scoping, delivery tracking, and escalation. Track record of building program mechanisms from scratch on an ambiguous, fast-moving effort. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process on a highly dynamic program. Preferred qualifications Experience on ML accelerators, high-performance compute, networking, or other large, high-bandwidth SoCs at advanced process nodes. Experience on a first-generation or early silicon program, including standing up flows, methodology, or vendor relationships from nothing. Experience with both partner-executed and fully in-house programs, and a view on the trade-offs between them. Prior hands-on engineering background in one or more silicon domains (design, DV, PD, DFT, or SI/PI). Familiarity with the chip-package-system interface and co-design with a hardware systems team. Experience with hardware-software co-design programs — working directly with compiler, kernel, or runtime teams. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, CS, or a related field, or equivalent experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Data Infrastructure to support our mission. This role is remote, with optional in-person attendance in either the New York or San Francisco office. About the Team The Data Foundations team at Patreon builds the pipelines, models, and infrastructure that power both customer-facing and internal data products. The Data Infrastructure function within the team owns the foundational platform — streaming, batch, and data lake infrastructure — that every data pipeline, analytics workload, and ML system at Patreon runs on. You'll join a small, high-craft team that partners across Product, Data Science, Infrastructure, and the rest of Engineering to make sure the platform underneath all of that work is reliable, scalable, and easy for other engineers to build on. About the Role - Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation. - Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction. - Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap. - Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance. - Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap. What you'll need: - 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure. - Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar). - Familiarity with data quality, lineage, observability, and governance tooling. - Strong programming skills in Python (Java, Scala, or Go a plus) and SQL. - Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems. - Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions. - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent. Bonus if you have: - Experience with Delta Lake/Iceberg, AWS, or Databricks. - Contributed to open-source streaming or infrastructure tooling. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.