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Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As the Head of HR Business Partner , you will lead the HR People Partner function and help shape the people strategy that enables Mistral AI to grow. You will partner with senior leaders on organizational topics, guide complex people decisions, and ensure managers and employees receive consistent, high-quality support across the business. You will coach and support the HR People Partner team while driving the development of scalable people policies, programs, and processes. Your work will strengthen our culture, align people initiatives with business priorities, and build the foundations needed to support Mistral AI's continued growth. WHAT YOU WILL DO - Lead and develop the HR People Partner team, providing coaching, guidance, and support. - Partner with senior leaders on organizational design, talent, performance, and employee relations topics. - Define and evolve people strategies that support business priorities and organizational growth. - Drive the development of scalable People policies, programs, and processes across the organization. - Use People metrics and organizational insights to inform decisions and advise leadership. - Ensure a consistent employee experience and approach to people practices across teams and geographies. - Champion Mistral AI's culture by embedding its values into leadership practices and People initiatives. WHAT WE'RE LOOKING FOR - Bachelor's or Master's degree in Human Resources, Business Administration, or a related field. - Significant experience leading human resources business partnering in a startup or high-growth environment. - Experience leading and developing People Partners or human resources teams. - Experience supporting international employee populations, with strong knowledge of French employment law and human resources practices. - Proven ability to develop and implement people strategies that align with business priorities and organizational growth. - Strong communication, coaching, and stakeholder management skills, with the ability to influence senior leaders. - Strong analytical and problem-solving skills, with confidence using data to inform decisions. - A hands-on approach, a builder mindset, and experience creating scalable people practices. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Dublin, IE 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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that bring our work to customers. We’re looking for a Recruiter, GTM to join our Talent team in Dublin and own full-cycle recruiting across our Go-To-Market organization, with a particular focus on Applied AI. This is a full-cycle individual-contributor role. You’ll partner with Applied AI and GTM leaders to define what great looks like, build pipelines in markets where these roles are still new, and close candidates who have competing offers. Some of the roles you’ll run won’t have an established market benchmark, so you’ll help build the playbook as well as follow it. Priorities shift quickly, and you’ll have real ownership of the searches you run. Key responsibilities Own full-cycle recruiting for Applied AI and broader GTM roles across EMEA, with a focus on London, Paris and Munich, from intake through offer and close Run intake sessions that scope the role, calibrate the bar, and challenge hiring managers where expectations don’t match the market Screen candidates against the JD with enough technical judgment to separate strong from merely well-presented Source and engage active and passive candidates, building diverse and competitive pipelines in markets where talent is scarce Run structured, rigorous and candidate-centric interview processes that uphold Anthropic’s hiring bar Work with the broader Talent team, People Partners and Compensation to structure offers and guide candidates to close Own pipeline health, tracking conversion, calibration and time-in-stage, and use the data to give hiring managers clear recommendations Help build and document the Applied AI and GTM hiring playbooks as the team scales Minimum qualifications 4+ years of full-cycle recruiting experience, with a track record of closing strong candidates in competitive markets Demonstrated experience recruiting GTM or customer-facing roles in the UK and European markets, with working knowledge of local talent dynamics, compensation norms and employment practices Strong stakeholder partnership: you build trust quickly with senior hiring managers in fast-moving environments Willingness and ability to build technical depth quickly enough to run credible intake sessions and screens for Applied AI roles Proven ability to maintain quality under volume pressure and manage multiple searches at once Comfort with ambiguity and with building something new rather than running an established playbook Self-starter who works autonomously while staying aligned with global hiring strategy Genuine interest in Anthropic’s mission and an understanding of the role recruiting plays in achieving it Preferred qualifications Experience hiring technical customer-facing talent (Solutions Architects, Forward Deployed Engineers, Sales Engineers, or Applied AI/ML-adjacent roles) at an AI, SaaS or high-growth technology company Experience recruiting across Sales, Partnerships or Marketing in addition to technical GTM roles Experience scoping roles that have no established market benchmark Experience hiring across multiple EMEA markets, including the UK, France and Germany Familiarity with Greenhouse or similar ATS platforms Additional European language skills (French or German especially) 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: €125.000 — €170.000 EUR 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: London; Palo Alto; New York; San Francisco; Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role As a Benefits Manager at Mistral, you will own and scale the benefits infrastructure supporting our team across multiple countries. You will partner closely with HR, Finance, and Legal to ensure our benefits offerings are competitive, compliant, and aligned with our growth, translating complex compliance and operational needs into streamlined, employee-focused experiences. What you'll do - Own benefits strategy end-to-end across our countries, including enrollment, renewals, changes, and offboarding, ensuring reliable issue resolution and compliance. - Drive benefits strategy by benchmarking market competitiveness, proposing local adjustments, and recommending offerings in line with our Total Rewards strategy. - Manage brokers, insurers, and benefits vendors: lead RFPs and renewals, negotiate cost-quality trade-offs, and enforce service level agreements. - Ensure compliance with local benefits, insurance, and social-security regulations in all operating jurisdictions, proactively adapting practices and flagging evolving risks in cooperation with Legal. - Design and enhance benefits processes and policies to be clear, scalable, and well-documented; lead impactful improvement projects as the company scales. - Leverage data to inform decisions by maintaining high-quality benefits data, building reporting and KPIs (such as cost per employee, participation, utilization, satisfaction), and translating insights into actionable recommendations. - Own the employee experience of benefits by delivering clear, empathetic communications during enrollment and life events and sensitively handling situations such as illness, family changes, or loss. - Partner with Finance for benefits budgeting and forecasting, and collaborate with HR Ops and payroll to ensure deductions and contributions are accurate and timely. - Serve as a key contributor on Mobility, working closely with cross-functional groups to keep our immigration and mobility offerings compliant and competitive. What we're looking for - Experience managing benefits for multi-country organizations during hypergrowth and new market entry - Deep knowledge of benefits regulations and practices in at least one core region (EU and/or US), with sound judgment for consulting experts - Skilled in managing, negotiating with, and holding external vendors and brokers accountable for cost and service quality - Proven ability to design, document, and improve scalable processes - Proficient in HRIS/benefits platforms, strong reporting, and keen on automation/AI to increase efficiency - Excellent stakeholder communication: empathetic with employees, credible with leadership on strategic trade-offs - Team-first, low-ego mindset with a focus on cross-functional collaboration and employee experience WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Talent Acquisition Lead, Early Careers, you will play a pivotal role in shaping the next generation of AI talent at Mistral. You will design, build, and run our global early careers strategy — spanning internships, graduate hiring, and campus recruitment — positioning Mistral as a premier destination for ambitious students and recent graduates in AI. This is a rare opportunity to build early careers programs from the ground up at one of the world's leading AI companies. You will own the full lifecycle of the intern and graduate experience: from sourcing and selecting high-potential talent through international school and university partnerships, to designing inclusive, well-structured programs that develop and convert that talent into future Mistral employees. Working from our Paris HQ, you will partner closely with hiring managers across all our departments to ensure early careers pipelines keep pace with our rapid global growth. 📌 Location: this role is located at our Paris, France HQ, with hybrid onsite collaboration. WHAT YOU WILL DO - Design and execute strategic early careers programs with clear goals for intern and graduate pipelines, aligned with Mistral's global growth plans and talent needs. - Partner with hiring managers and the People team to define role requirements, train and scale interview panels, and align on early careers priorities. - Own the end-to-end recruitment process for interns and early careers hires globally — from role definition and sourcing through offers and conversion decisions. - Build and maintain partnerships with top international schools and universities, creating sustainable, multi-year sourcing channels for high-potential candidates. - Build inclusive and equitable intern programs with structured learning objectives, meaningful core projects, and mentor/buddy pairing systems for every cohort - Drive global campus recruitment: represent Mistral at career fairs, host on-campus events, and develop targeted employer branding strategies for student markets. - Recruit, onboard, and lead a team of hands-on recruiters: set priorities, coach and develop the team, and scale capacity in step with hiring demand across geographies. - Build scalable systems and best practices: workflows, documentation, and tools to support rapid growth across geographies. - Embody our culture as an ambassador for Mistral, on campus and internally. WHAT WE'RE LOOKING FOR - Proven experience: 7+ years in recruiting, preferably in tech, high-growth, or competitive environments. - Early careers depth: Exposure to global early careers, internships, or graduate recruitment - Team leadership: Demonstrated experience building, growing, and managing a team of recruiters in a fast-scaling environment. - Partnership expertise: Expertise in international school and university partnership development and global campus recruitment. - Program building: Demonstrated experience building inclusive and equitable intern programs, with excellent project management skills and exceptional attention to detail. - Data-driven mindset: Skilled at analyzing metrics to solve problems and optimize recruitment processes. - Global perspective: Experience with international hiring and fluent English communication; French is a plus. - Stakeholder influence: Ability to advise and align senior leaders with credibility and diplomacy. - Hands-on execution: Capable of balancing strategy with operational excellence, staying organized and disciplined across concurrent programs and locations. - Tool proficiency: Familiarity with modern ATS (e.g. Ashby), LinkedIn search, scheduling tools, and AI-driven productivity tools is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights. Derive Insights & Support Strategy:

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities Own growth for how people use Claude in their everyday work, end to end, as your full-time focus Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric Deliver exceptionally crafted interactions and set the quality bar for your area Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption Mentor other designers, and frame problems clearly enough that others can own them Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications A portfolio of shipped product design work that shows product vision and a high level of craft Experience owning growth for a major product area end to end, including diagnosing problems and setting direction Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions Fluency with product analytics such as funnels, retention, and engagement Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications Experience leading growth strategy across multiple teams or product areas Experience designing enterprise/B2B SaaS, productivity, or collaboration tools Experience with product-led growth, from a single user to a team to a company-wide rollout Experience mentoring designers or shaping a design practice Comfort querying data yourself with SQL or a similar tool Experience prototyping with front-end code (e.g., HTML/CSS/JS) Experience defining AI-powered workflows for yourself or your team A clear point of view on when a product should ask for attention, and when it should stay out of the way Passion for building safe, beneficial AI that helps people do their best work Representative projects Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap Redesign a core part of the product so people return to it more often and get more value each time Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow Design the path from one person's daily use to their whole team adopting it 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: $305,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 We are looking for a Vendor Admin Lead to own vendor master data for our global Finance Operations team. Reporting to the Director of Global Accounts Payable, you will be the single point of accountability for who our vendors are and get paid: onboarding, bank-detail verification, supporting documentation vetting, data quality and the controls around all of it. Anthropic's vendor base is growing quickly across the US, Europe and Asia-Pacific, and a clean, verified vendor data is what keeps a fast-growing company scale with the necessary controls. This role is deliberately separate from invoice processing and payments. You will control vendor records and bank details; you will not book invoices or move money. That separation is the point of the role, and you will own the SOX controls that enforce it and help design the access model that keeps it that way. This is an opportunity to build a vendor-master function from the ground up and leverage process automation with Claude while supporting the team making AI safe. Responsibilities Supplier onboarding Run intake for every new vendor and payee: validate completeness, collect and verify supporting documentation, and enable records in the ERP backbone system against agreed service levels Validate supporting documents; set 1099-reportable and tax flags correctly Confirm third-party risk and restricted-party screening before activation Set up one-time and non-vendor payees with the right record type rather than forcing them through full onboarding Partner with TPRM and IA teams on control requirements and continuous process improvement 1099 annual reporting Bank details and fraud prevention Own every bank-detail setup and change; validate against a bank letter on letterhead or an approved equivalent (void checks,  etc.) Run independent callbacks per policy using contact details sourced independently of the request, and record the evidence Validate international bank formats and addresses (IBAN, SWIFT/BIC, ABA, SEPA, BSB, IFSC, Japanese bank/branch codes) Identify and escalate business-email-compromise attempts and other payment-fraud red flags Data quality and maintenance Maintain vendor structure: parent/child and remit-to relationships, entity and country records, contacts and payment terms Lead vendor consolidation: eliminate duplicate vendors and bank accounts, execute merges and inactivations in batched, logged, reviewed changes Run periodic health reviews for dormant vendors, stale bank letters, missing tax forms and incomplete records; drive 1099 and TIN readiness for year-end Own periodic vendor deactivation campaigns Controls and audit Own the vendor-master SOX controls as the named control owner: maker-checker on every create and change, change-log review, evidence retained on every record Prepare the periodic review of bank-detail changes paid, and address Internal Audit and external auditor requests Partner with Finance Systems to design and maintain ERP security roles so vendor master, invoicing and payments stay separated Flag any suspicious vendor set-up activity through the appropriate channels Process, systems and improvement Own vendor-master documentation, intake checklists, requester guidance and service levels Serve as the vendor-data expert through process migrations, including data conversion and post-migration fixes Partner on automation: AI-assisted intake validation, document extraction, bank-format checks and a vendor self-service portal Report monthly on onboarding volume, cycle time, bank changes, exceptions and data quality, and use the data to improve the process Minimum qualifications 7+ years in vendor master or AP operations with 3+ years of ownership Owned a vendor master in an ERP end to end — process, controls and data — across multiple entities and countries Hands-on experience verifying bank details and preventing payment fraud: bank letters, independent callbacks, BEC red flags, international bank formats Experience with vendor tax documentation: W-9/W-8 validation, TIN matching, VAT/GST IDs, 1099 flagging Working knowledge of procure-to-pay controls — segregation of duties, maker-checker, change logs, audit evidence — and have performed or owned a SOX control Led a vendor data cleanup, consolidation or ERP migration and can show the outcome The confidence to hold the line with requesters, vendors and senior stakeholders under time pressure while staying clear and helpful Strong Excel or Google Sheets skills with large datasets (dedupe, lookups, reconciliations) and exceptional attention to detail Preferred qualifications Workday Financials vendor management, and experience with Zip, Coupa or a similar procure-to-pay platform SOX experience at a public company or one preparing to go public Experience supporting APAC and EMEA vendors in a high-growth, multi-entity company Experience designing or reviewing ERP security roles with a systems team Comfort using AI tools to automate validation, follow-ups and reporting 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: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude is one of the fastest-growing AI products in the world, with tens of millions of users worldwide relying on Claude across web, mobile, and desktop. As a Product Manager on the App Foundations team, you’ll be responsible for key parts of the product experience spanning the core Claude user-experience, and primitives such as memory, voice mode, and artifacts. You'll be improving and scaling a product that has enormous reach. This requires strong systems thinking, judgement about what to build next, deep care for craft and quality, and the ability to move quickly in a highly cross-functional environment, while maintaining our commitment to safety and beneficial AI. Key Responsibilities Own the end-to-end strategy, roadmap and execution for your area Design capabilities as systems that flexibly extend to all Claude products Translate frontier model capabilities into simple, intuitive experiences that a broad consumer audience can understand and love Analyze product metrics and user feedback to identify opportunities and optimize performance Use a mix of quantitative data, experimentation, and user research to deeply understand user behavior and make prioritization calls Set a high bar for quality and craft — sweat the details of the everyday interactions that millions of people experience Partner closely with design, engineering, data science, research, and marketing to ship high-impact product improvements at a fast cadence Balance rapid iteration with our commitment to AI safety and ethics Minimum Qualifications Experience working on products with millions of users Exceptional product taste and instincts for what makes experiences delightful Highly analytical and fluent in experimentation and using data to drive decisions Excellent communication and stakeholder management skills Ability to thrive in a fast-paced, ambiguous environment Passion for AI technology and its potential impact on society Technical background or ability to work effectively with engineering teams Ability to translate nascent model capabilities into compelling product experiences Preferred Qualifications 8+ years of product management experience, across both consumer and enterprise Founder experience is a plus AI product experience is a plus Working on products that were both B2C and B2B is a plus 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: $385,000 — $460,000 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: Mumbai, India We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role & Responsibilities The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. Working for our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre, the role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders. Key reponsibilities will include: Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. Build and optimise Delta tables and materialized views, with attention to performance at scale. Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. Define job-specific compute configurations appropriate to each workload, balancing performance and cost. Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. Operate autonomously across a workstream, from scoping through to production deployment. Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific. The Requirements Essential Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. Demonstrated ownership of medallion architecture design and data modelling. Implemented data quality frameworks and data contracts in production. Implemented PII protection (masking, tokenisation or access tiering) across environments. Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services. Track record of autonomous delivery, including direct stakeholder engagement. Databricks Certified Data Engineer Associate (minimum). Desirable Databricks Certified Data Engineer Professional. Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. Governance and identity patterns (e.g. Entra ID, RBAC scoping). Applying regulatory frameworks (e.g. GDPR) to data platform design. Shared service centre or global delivery model experience, ideally in energy or industrial services.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE We are looking for product-focused systems engineers to work on Teleport Core Product. You will work on problems ranging from performance and scalability, security and networking, to integrations with external systems. You will work on the full product lifecycle from working with customers to understand their problems, writing RFDs for your proposed design, implementing, testing, and documenting. Teleport is an open core project, and most of the code you will write will be open source and written in Go. WHAT YOU'LL DO - Become an expert on scalability, performance, and reliability of Teleport in large deployments. - Design, develop, and ship outstanding, high-quality products. - Lead a distributed team of outstanding engineers. - Write most of the code in Go. - Closely collaborate with other teams at Teleport on matters related to scalability and performance. - Work directly with our customers to diagnose and remediate performance issues. - Grow your technical expertise. WHAT WE'RE LOOKING FOR - Willingness to work collaboratively with Teleport's engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md as part of the interview process. - Builder mentality and experience -- you love being hands-on and building zero-to-one products. - Extensive Go experience. - Extensive experience developing scalable, reliable, and performant distributed systems and platforms. - Strong team leadership. - Engineering management experience. - Linux systems engineering experience. - Knowledge of Identity Management, RBAC, ABAC, and zero-trust security models. - Intellectual curiosity and a willingness to master new technologies. - Transparency, honesty, and a no-ego mindset. - Significant contributions in Open Source is a big plus. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: United States, San Diego, CA 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. Software Engineer, AI/ML Sony Interactive Entertainment (SIE) PlayStation; San Diego, CA Who we are The Direct to Consumer (D2C) Data Science organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview Within D2C Data Science, the D2C ML Engineering team is seeking a software engineer to help design, build, and support production AI platform capabilities that solve high-value business problems across the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an engineering role focused on turning AI into dependable products, services, and automation. The ideal candidate is a strong software engineer with backend experience and practical hands-on applied AI experience. What you’ll be doing: Create services, workflows, and reusable components for LLM-powered solutions. Collaborate with stakeholders to understand use cases, identify if and how AI could be used, prototype solutions, measure outcomes, and help move proven capabilities into production. Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services. What we’re looking for: Bachelor's or Master’s degree in computer science, engineering or related with 2+ years of professional software engineering experience. Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services. Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design. Experience with AWS or equivalent cloud services Possesses exceptional communication skills, able to turn business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs in clear, practical terms. Preferred Skills: Experience with AI orchestration patterns Experience supporting a production system Familiarity with Model Context Protocol Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. 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. The estimated base pay range for this role is listed below. $150,000 — $225,000 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: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. This role is open to MBA students graduating in spring 2027. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: New York City; Austin Workplace: Hybrid ABOUT THE ROLE As a Commercial Sales Manager at Perplexity, you'll lead a team of Commercial Account Executives selling Perplexity Enterprise and Computer to small and mid-sized organizations. You'll be responsible for hiring and ramping the team, coaching sellers through efficient, high-velocity sales cycles, and owning team revenue targets. RESPONSIBILITIES - Lead, coach, and develop a team of Commercial Account Executives, providing regular feedback to drive individual and team performance - Own team revenue, logo, and activity targets, with accountability for pipeline creation, deal velocity, and forecast accuracy - Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement - Coach the team on outbound prospecting, account prioritization, and converting existing self-serve customers into Enterprise relationships - Help AEs qualify with discipline and run efficient sales cycles from discovery through close, partnering with Enterprise AEs when an account warrants a larger motion - Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts - Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action YOU MAY BE A GOOD FIT IF - 5+ years of SaaS sales experience selling to small and mid-sized organizations, with 2+ years directly managing quota-carrying Account Executives - A track record of meeting or exceeding team revenue targets in a high-growth environment - Experience hiring, ramping, and developing sellers - Experience coaching teams to generate their own pipeline through outbound and product-led signals in a high-velocity sales motion - Strong command of Salesforce, pipeline management, and forecasting - Background selling technical products, ideally AI, data, or infrastructure - Comfort operating without an established playbook

Location: New York City; San Francisco; Austin Workplace: Hybrid ABOUT THE ROLE As an Enterprise Sales Manager at Perplexity, you'll lead a team of Account Executives selling Perplexity Enterprise and Computer to Enterprise accounts. You'll be responsible for hiring and ramping the team, coaching sellers through complex enterprise sales cycles, and owning team revenue targets. RESPONSIBILITIES - Lead, coach, and develop a team of Account Executives, providing regular feedback to drive individual and team performance - Own team revenue targets, with accountability for pipeline creation, deal execution, and forecast accuracy - Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement - Coach the team on outbound prospecting, account planning, and converting existing self-serve customers into Enterprise relationships - Support AEs in complex, multi-stakeholder deals, including executive alignment, technical evaluation, security review, and negotiation - Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts - Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action YOU MAY BE A GOOD FIT IF - 7+ years of enterprise software sales experience, with 3+ years directly managing quota-carrying Account Executives - A track record of meeting or exceeding team revenue targets in a high-growth environment - Experience hiring, ramping, and developing sellers - Experience coaching teams to generate their own pipeline through outbound and account-based prospecting - Strong command of Salesforce, pipeline management, and forecasting - Background selling technical products, ideally AI, data, or infrastructure - Comfort operating without an established playbook

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $163,920 — $196,712 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Senior Analyst, Travel & Expense, you will run the day-to-day financial controls, audit program, and executive reporting behind Anthropic's T&E function. T&E touches every employee, every legal entity, and every executive, and it runs on Navan, Brex, and negotiated supplier agreements. Spend and transaction volume have grown several-fold in the past six quarters, and the controls need to scale to meet a public-company standard. You will report to the Head of Travel & Expense in Finance Operations and work daily with Accounting, Tax, Payroll, Talent, Security, Legal, Finance Systems and Administrative Business Partners. Responsibilities Controls & SOX Compliance Own the day-to-day operation of key T&E controls, including approvals, card issuance and spend limits, segregation of duties, and policy exceptions, within the control framework set by the Head of T&E, who owns the overall T&E process Maintain the T&E process narratives and risk and control matrix, and keep them current as systems and policies change Ensure correct GL coding and complete, accurate month-end reconciliations across Navan, Brex, and Workday, and support close, flux analysis, and accruals Act as the preparer for T&E controls and the day-to-day contact for internal and external auditors: gather and retain evidence, support walkthroughs and sample requests, and track remediation, escalating significant issues to the Head of T&E International Expansion Controls Set up and maintain entity-level coding and approval flows in Brex and Navan as new legal entities and countries come online Document and operationalize country-specific rules for per diems, VAT reclaim, non-USD cards, receipt requirements, and local tax treatment Partner with Tax, Payroll, and Global Mobility to ensure compliance Support accurate intercompany treatment of T&E costs across entities T&E Audit Program Help design, build, and run a risk-based audit program covering sampling, anomaly detection, misuse escalation, and remediation tracking Define and monitor pre-spend rules, duplicate and split-transaction checks, and receipt and 30-day submission compliance Build dashboards and reporting on policy compliance, exceptions, and control performance for Finance leadership Partner with the Head of T&E to deploy Claude to review transactions, flag policy exceptions, and automate recurring reporting Program Operations Own day-to-day T&E operations, supporting the growing volume of travel and expense activity and platform configuration and automation, so operations keep running without pulling focus from controls Own transaction-level review and receipt follow-up, and help shape what should be automated rather than staffed Partner with Benefits, Payroll and Legal to ensure the T&E program is compliant with relevant local and country requirements Preferred qualifications 7+ years of experience in travel and expense, corporate accounting, internal audit, or finance operations, ideally at a high-growth technology company Hands-on SOX or internal-controls experience: writing process narratives, testing or operating key controls, and working with external auditors Strong accounting fundamentals, including GL coding, account reconciliations, accruals, and month-end close support Deep platform expertise in Navan and/or comparable TMC platforms, plus Brex or equivalent expense management tools, and working knowledge of ERP integrations (Workday preferred) Strong analytical skills: comfort with large transaction datasets, sampling methods, and anomaly detection Sound judgment and discretion with sensitive information, and the ability to work credibly with senior executives and their support teams Clear written and verbal communication, with the ability to explain a control or an exception to Finance leaders, auditors, and employees An AI-curious, builder mindset: experience automating finance workflows with AI tools, or real enthusiasm for doing so, and comfort creating structure where none exists CPA, CIA, or equivalent certification Experience with multi-entity, multi-currency environments, including per diem rules, VAT reclaim, and cross-border tax considerations Experience with pre-IPO or newly public company readiness M&A integration experience a huge plus 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: $190,000 — $230,000 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: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Director of Embedded Software Engineering to lead our Firmware organization and the embedded software at the core of every WHOOP device. This leader will set the technical and organizational direction for Firmware, develop engineering managers and senior technical leaders, and ensure the organization delivers reliably across an ambitious roadmap of new products, platform investments, and continuous improvements to products already in the field. Firmware sits at the intersection of WHOOP’s hardware, sensing, algorithms, mobile software, manufacturing, and member experience. This role will lead multiple teams responsible for building stable, accurate, and power-efficient firmware platforms that operate continuously in highly constrained wearable devices. You will translate business and product priorities into clear technical strategies, build an organization capable of executing at scale, and strengthen the processes and platforms through which WHOOP develops and delivers firmware. RESPONSIBILITIES: - Lead and scale multiple Firmware teams with clear ownership and accountability, hiring and developing engineering managers, technical leaders, and senior individual contributors. - Set the multi-year strategy for firmware in alignment with product and business priorities. - Own predictable delivery across new products, platform investments, and sustaining work. - Raise the firmware development and quality bar through strong planning, architecture and design reviews, CI/CD, automated testing, validation, release practices, and field feedback. - Guide system architecture and major technical decisions that account for tradeoffs across member experience, power, performance, quality, cost, schedule, and long-term platform health. - Partner across Hardware, Sensor Intelligence, Algorithms, Mobile, Product, Manufacturing, Quality, and Program Management to bring products from concept through production and continuous improvement. - Establish meaningful engineering metrics and adopt tools and AI-enabled practices that improve quality and productivity. QUALIFICATIONS: - Proven experience leading multiple firmware or embedded software teams through engineering managers and senior technical leaders. - Extensive experience shipping firmware for high-volume, constrained products. - Deep technical fluency in C/C++, RTOS-based architectures, microcontrollers, device drivers, connectivity, low-power systems, and hardware-software integration. - Track record of setting firmware architecture and improving development practices, including planning, design reviews, CI/CD, automated testing, release management, and quality measurement. - Strong communication and leadership skills, with the ability to align Product, Hardware, Algorithms, Manufacturing, and senior leaders around clear priorities and decisions. - Bachelor’s or advanced degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent professional experience. Experience developing battery-constrained wearable products, physiological sensing systems, or other products in which firmware directly affects data accuracy preferred. - Familiarity with embedded security, secure boot, over-the-air updates, device identity, and production provisioning preferred. - Experience scaling engineering organizations in a high-growth environment and working with global suppliers or contract manufacturers preferred. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   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 $220,000-$245,000. 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.