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Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Personal Injury Law Specialist to contribute to a project focused on improving the legal reasoning, accuracy, and reliability of advanced AI systems. In this contractor role, you will analyze legal scenarios, assess liability, evaluate AI-generated legal analyses and documents, and identify errors or gaps in legal reasoning. You will provide clear, structured feedback to help improve AI-generated legal outputs. The ideal candidate has a strong foundation in U.S. law, excellent analytical skills, and experience in personal injury law or civil litigation. SENIORITY: Experienced Legal Professional LANGUAGE: Excellent written English LOCATION: Remote — United States only Key Responsibilities Analyze legal scenarios to identify key legal issues, assess liability, and apply sound legal judgment. Review AI-generated legal analyses, arguments, and documents for accuracy, completeness, and consistency. Identify legal errors, missing facts, unsupported conclusions, and weaknesses in legal reasoning. Provide clear, structured feedback and corrections to improve the accuracy and quality of AI-generated outputs. Evaluate legal arguments critically, applying relevant principles of U.S. law. Maintain high standards of accuracy, clarity, and attention to detail throughout the review process. Requirements J.D. degree from a U.S. law school. Active bar license in at least one U.S. state. More than 3 years of practicing law, preferably in personal injury law or civil litigation. Strong legal reasoning, issue-spotting, and legal document review skills. Excellent written English communication skills. Exceptional attention to detail and the ability to identify subtle legal errors and gaps in reasoning. Ability to provide clear, objective, and well-structured written feedback.

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 Anthropic's Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows. As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected. Key responsibilities Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions. Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales. Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions. Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions. Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination. Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools. Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business. Minimum qualifications Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting. Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar). Preferred qualifications 8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients Experience at, or insuring, a technology company or other fast-growing, complex organization Property insurance experience, including large or complex property, construction, or data center exposures Captive insurance experience (formation, management, fronting, or reinsurance) Experience insuring emerging technology risks, such as AI or technology liability and cyber Background at a major broker, carrier, or large technology company risk team Actuarial training or credentials, or experience with actuarial analysis Familiarity with insurance management systems, SQL or Python, or building workflow automation Experience building processes from scratch in an ambiguous, fast-moving environment 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: $180,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is a data company, and data is our most valuable asset. The Data, Analytics & AI (DAA) organization turns WHOOP data into trusted intelligence that sharpens every team's decisions. As the data and AI ecosystem grows, making that data trustworthy and safe by default has become a strategic capability, so every product built on it can be relied on. We are seeking a Director, Data Governance to lead the function as a new pillar within the DAA organization. You will report to our VP of Data, Analytics and AI Acceleration. As the first dedicated leader of this function, you will define the strategy, operating model, and roadmap for data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance. Governance sets the policy and standards; the Data Platform & Engineering pillar engineers and implements them, so this role leads through influence, clear standards, and strong cross-functional partnership. WHOOP operates a mature data platform. This role builds the governance layer on top of it: formal ownership models, data contracts, an event taxonomy, cataloging and discovery, classification frameworks, and the policies that let the company scale into regulated environments without slowing down. You will build and lead a team and champion intelligent, AI powered approaches to continuously monitor the health and trust of our data. You should be equally comfortable setting strategy and rolling up your sleeves, and as effective presenting a data classification framework to senior leadership as you are working through a data quality standard with an engineer. Working across Data Platform & Engineering, Analytics, Data Science, Product, GRC, Legal, InfoSec, and RAD, you will earn trust across technical and business teams, drive adoption, and ship enforceable governance outcomes. RESPONSIBILITIES - Define and lead the data governance strategy, operating model, and roadmap spanning data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance (HIPAA, GDPR, CCPA), aligned with the DAA strategy. - Build, lead, and coach a small, senior team, developing your people while partnering closely with Staff level technical leaders across the org. - Establish a formal data ownership model, partnering with engineering and business stakeholders to assign stewardship and accountability for critical datasets. - Define the standards for data contracts between producing and consuming teams, covering schema stability, SLA adherence, and breaking-change management, with implementation owned by Data Platform & Engineering. - Own the event taxonomy governance framework, bringing structure to event tracking and standardizing how product and engineering teams define, name, and instrument events across platforms. - Set data quality standards (freshness, validation, monitoring) and the incident response expectations, partnering with Platform to operationalize automated testing and anomaly detection. - Champion AI powered governance approaches that proactively surface quality issues, ownership gaps, policy violations, and compliance risks. - Partner with GRC, Legal, and InfoSec to define the privacy, HIPAA, and compliance standards for how sensitive data is handled, which the platform then implements. - Define role-based access policy across the data platform, balancing security with self-service accessibility, with enforcement engineered by Platform. - Embed governance standards directly into engineering and developer workflows so the right way is the easy way, rather than relying on manual processes. - Develop governance metrics and reporting to track adoption, compliance, and data health across the organization. - Build a culture where trusted data is a shared responsibility across technical and business functions. QUALIFICATIONS - 10+ years in data, engineering, or data governance roles, with a strong background in data governance, data quality, data engineering, or data platform. - 4+ years of experience leading and building teams. - Direct experience building data governance programs or frameworks, ideally in a high-growth environment where governance was not yet formalized. - Hands-on experience with modern data stack tooling: Snowflake, dbt, Airflow/orchestration, and data catalog/lineage tools. - Working knowledge of healthcare data regulations (HIPAA), or willingness to develop deep expertise quickly given the WHOOP expansion into regulated healthcare products. - Experience implementing data quality frameworks with automated monitoring and alerting. - Experience with access control design and administration in cloud data platforms (Snowflake RBAC, row-level security, dynamic data masking). - Ability to drive cross-functional alignment on data standards and policies, and to lead highly cross-functional initiatives. Comfortable influencing engineering, product, and business teams. - Experience operating in regulated environments. - Proven track record managing data oversight for complex research initiatives, such as IRB-regulated studies or trials or regulatory filings for the FDA. - Excellent executive communication and organizational leadership. Able to translate technical governance concepts into business value for non-technical stakeholders and senior leadership. - A player-coach orientation. Willing to be deeply hands-on while building repeatable processes and growing a team. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. *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 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 $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Задачи: — Преподавание курса «Налогообложение» для участников программы Корпоративные финансы (Master in Corporate Finance – MCF). — Курс длится до 18 академических часов. — Курс читается на английском языке. Требования: — Опыт работы от 6 лет в крупных известных компаниях на руководящих должностях (финансовый директор, руководитель подразделения, аудитор). — Подтвержденная экспертиза в области финансов и налогообложения. — Наличие сертификата АССА. — Темы курса включают: The Russian tax system and its administration, Value added tax, Corporate profits tax liabilities, Corporate profits tax deductible expenses, Personal income tax, Social Insurance contributions, Corporate property tax (можно взять все темы или одну из перечисленных). — Желателен опыт преподавания и/или опыт публичных выступлений (семинары, вебинары, воркшопы по теме налогообложения/финансов). — Свободное владение английским языком. — Высшее образование в области финансов. Условия: — Проектная занятость. — Занятия проходят очно в Санкт-Петербурге, в историческом особняке на Васильевском острове (м. Василеостровская). — Современно оборудованные аудитории и все необходимые ресурсы для эффективной работы. — Сопровождение и поддержка на всех стадиях взаимодействия со Школой и подготовки курса. — Вовлеченные, мотивированные студенты, отлично владеющие английским языком. — Курс запланирован на весну 2027 года. — Гибкий подход к составлению расписания с учетом пожеланий преподавателя. О компании: — Высшая Школа Менеджмента СПбГУ занимает первое место в XV Народном рейтинге российских бизнес школ - 2024. — Обладает «тройной короной аккредитаций»: EQUIS, AMBA и AACSB. — Высокие позиции в мировых рейтингах: 21 место FT 2022 Ranking: Masters in Management, 3-е место в Eduniversal Business Schools ranking: Top Business Schools Eastern Europe, 44-е место FT 2022 Ranking: European Business Schools.

Location: San Francisco ABOUT THE ROLE You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data. CORE RESPONSIBILITIES - PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP. - Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive. - GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives. - Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas. - Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control. - Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail. - Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants). - Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.   MUST-HAVE QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, or equivalent experience. - 4-6+ years relevant experience in FP&A/ corporate finance / finance operations - Practical, hands-on accruals experience (monthly accruals, prepayments, reversals). - Demonstrated experience with PO lifecycle and PO system operations - Strong experience performing GL drill-throughs and tracing transactions to source documentation. - Advanced Google Sheets / Excel modeling skills - Excellent attention to detail and the ability to produce defensible, audit-ready work. - Strong partnership and communication skills — able to extract needed information from stakeholders and drive action. NICE-TO-HAVE - Experience with NetSuite, Workday, Oracle, or other ERPs. - Dashboarding experience (Tableau) - Prior exposure to real estate, construction, workplace operations, or global food/amenities spend. - Demonstrated experience prototyping small automations or AI agents to accelerate work. SOFT SKILLS / COMPETENCIES - Extremely detail-oriented and process disciplined. - Independent problem solver who can escalate appropriately. - Strong prioritization and time management under competing deadlines. - Curious and technology-forward — comfortable testing small automation/agent ideas. - Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.

Location: United States Workplace: Remote WHO WE ARE GreenLight.ai http://GreenLight.ai provides global, enterprise-grade workforce infrastructure for enterprise contingent workforce programs and talent platforms. We combine Employer of Record (EOR), Agent of Record (AOR), freelancer management (FMS), and intelligent worker classification with technology that connects directly to our clients’ workforce systems. Trusted by some of the world’s most highly recognized and innovative companies, we help clients engage and manage their extended workforce across the US and internationally. Compliance is central to our service, our technology, and the trust our clients place in us. THE OPPORTUNITY You will lead GreenLight’s legal and compliance function and serve as a hands-on member of our leadership team. Your mandate is to protect the business, support growth, and turn complex workforce regulations into practical decisions, scalable processes, and product capabilities. You will work directly with the CEO and partner with product, engineering, HR, payroll, operations, and commercial teams. You will own legal standards and compliance oversight, support functional leaders in implementing them, and manage our US and international outside counsel. This role combines deep workforce expertise with commercial judgment and the ability to build systems that scale. WHAT YOU WILL DO - Lead workforce compliance. Own our compliance framework for EOR, AOR, and independent contractor engagements, including worker classification, wage and hour, exempt status, and co-employment risk. Establish clear policies, controls, escalation routes, and audit processes. - Strengthen classification. Oversee classification assessments, quality review, reassessment triggers, and decision records. Train relevant teams and develop practical guidance for clients and workers. - Shape the product. Translate regulatory requirements into classification rules, onboarding controls, workflows, and audit trails. Partner with product and engineering on AI-enabled compliance features, including validation, explainability, and human review. - Manage commercial legal work. Draft and negotiate client, vendor, worker, and international partner agreements. Develop templates and negotiation guidance that support efficient contracting and appropriate allocation of risk, liability, and indemnities. - Coordinate global compliance. Work with local counsel and partners to assess country requirements, licensing, and engagement restrictions. Strengthen partner diligence and oversight as our international business grows. - Manage outside counsel. Select and coordinate US and international specialists, set priorities and service expectations, manage legal spend, and turn their advice into clear business decisions and operational actions. - Handle material legal escalations. Advise HR and delivery teams on significant employee relations matters, disputes, claims, and investigations. Coordinate responses with outside counsel and relevant insurers. - Build broader compliance controls. Partner with operations and technology on worker identity, fraud prevention, workforce data privacy, and responsible AI use, drawing on specialist advice where needed. - Make legal knowledge actionable. Monitor regulatory developments and ensure relevant changes reach our policies, platform, and operating processes. Use AI and legal technology to improve research, contracting, and knowledge management, with verification and confidentiality controls. - Represent GreenLight credibly. Support enterprise diligence, client presentations, and selected webinars and industry events. Review external claims and help develop useful, accurate compliance content. WHAT YOU BRING - Relevant legal experience. Typically 8 or more years in employment law, workforce compliance, and related commercial matters, with substantial responsibility for practical business advice. We will consider exceptional candidates with less experience. - Legal qualifications. A JD or equivalent law degree and active membership in good standing with a US state bar. - Workforce expertise. Deep knowledge of US employment law and worker classification, including complex multi-state workforces, and experience coordinating international legal advice. - Commercial and operational judgment. Evidence of negotiating business agreements, implementing compliance processes, and making clear, proportionate recommendations under time pressure. - Technology fluency. Ability to translate legal requirements into product and workflow changes, plus practical experience using AI or legal technology and evaluating its outputs. - Leadership and communication. Ability to manage outside counsel, influence colleagues, and explain complex issues clearly to enterprise clients and hiring managers. Willingness to develop a credible public voice in workforce compliance. - Builder mentality. Identify gaps, recommend solutions, and play an active part in implementing improvements. Experience in staffing, EOR/AOR services, contingent workforce programs, talent marketplaces, or workforce technology is particularly valuable. In-house experience and experience building a legal or compliance function are strong advantages. WHAT SUCCESS LOOKS LIKE In your first year, you will establish a prioritized compliance roadmap, strengthen classification and international partner controls, improve enterprise contracting, and make regulatory updates actionable across our platform and operations. Teams will understand their responsibilities and know when and how to escalate material risks. WHY JOIN GREENLIGHT You will have direct access to the CEO, a meaningful voice in product and business decisions, and the opportunity to shape how leading organizations manage their extended workforce. We offer flexible working arrangements, benefits, and a home office stipend. HOW WE WILL ASSESS CANDIDATES We will focus on demonstrated judgment and results: how you have resolved difficult workforce issues, improved processes, managed counsel, and helped a business move forward responsibly. Our process will include discussion of your experience and a short practical case exercise.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Technical Program Manager (NPI) to support manufacturing execution for new hardware products from early development through mass production ramp. In this role, you will coordinate factory readiness, manage manufacturing schedules and risks, and work cross-functionally to resolve technical and operational challenges during product development and launch. You will partner closely with Hardware Engineering, Manufacturing Engineering, Test Engineering, Quality, Supply Chain, and Operations teams, both at WHOOP HQ and international manufacturing sites, to help deliver high-quality products on time and at scale. Responsibilities - Drive manufacturing execution for assigned hardware NPI workstreams across prototype, EVT, DVT, PVT, and mass production ramp, ensuring build objectives and milestones are met. - Coordinate contract manufacturer readiness for engineering and production builds, including materials, equipment, manufacturing processes, and test infrastructure. - Develop and maintain manufacturing schedules, build plans, risk trackers, and issue lists, proactively identifying risks, tracking dependencies, and escalating challenges as needed. - Partner with Manufacturing Engineering, Test Engineering, and Quality to support process development, validation, test deployment, and production readiness. - Coordinate cross-functional issue resolution during NPI builds, tracking root cause investigations, corrective actions, and critical risks through closure. - Support build readiness reviews, monitor manufacturing performance and key metrics, and provide clear program updates to cross-functional stakeholders while identifying opportunities to improve NPI execution. Qualifications - Bachelor's degree in Engineering, Supply Chain, or a related technical field, or equivalent practical experience. - 3+ years of experience in technical program management, manufacturing development, hardware engineering, or related roles, preferably in consumer electronics or hardware manufacturing. - Experience supporting hardware NPI programs, engineering builds, or production ramp activities in a cross-functional environment. - Experience working with contract manufacturers or external manufacturing partners, preferably in an international manufacturing environment. - Working knowledge of hardware manufacturing processes, including SMT, assembly, test, and pack-out, and familiarity with manufacturing metrics such as yield and throughput. - Strong organizational, analytical, and problem-solving skills, with the ability to manage multiple priorities, track technical issues, and drive follow-through. - Effective communication and collaboration skills, with familiarity using project management and collaboration tools; willingness to travel internationally up to 25% to support manufacturing builds and production readiness. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.   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 $120,000 - $160,000. 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.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an NPI Quality Engineer II, Hardware to support Product Quality activities for hardware development programs from concept through launch. As a member of the Product Quality organization, you will partner closely with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Reliability, Operations, and global manufacturing partners to help ensure products are designed, validated, and launched with exceptional quality. You will support quality planning, design and manufacturing risk management, validation, and launch-readiness activities while developing technical expertise in Product and NPI Quality. RESPONSIBILITIES: - Support Product Quality activities for assigned hardware development programs, components, or subsystems throughout development, validation, manufacturing readiness, and product launch. - Partner with Product Management and Systems Engineering to help translate Voice of Customer requirements into measurable product and engineering requirements. - Work cross-functionally with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Field Quality, Reliability, Test Engineering, Operations, and manufacturing partners to identify potential failure modes and quality risks early in product development and track them through resolution. - Support and facilitate quality planning activities including DFMEA, CTQ definition, reliability planning, validation and verification, process capability, measurement system analysis, and launch-readiness reviews. - Analyze engineering and manufacturing data to identify product and process risks and support data-driven decision making. - Partner with Supplier Quality to support supplier and contract-manufacturer quality activities, including engineering drawing reviews, design-file reviews, control plans, inspection strategies, and process capability assessments. - Apply structured problem-solving methodologies to investigate product and manufacturing failures, support root-cause analysis, and drive corrective and preventive actions. - Support engineering builds and NPI activities, including identification, documentation, prioritization, and closure of quality issues. - Monitor product and process quality metrics and communicate significant trends, risks, and issues to the Product Quality team and cross-functional stakeholders. - Participate in cross-functional program and technical reviews, providing objective quality data and supporting risk and launch-readiness assessments. - Document lessons learned and help ensure relevant findings from development, validation, manufacturing, and field performance are incorporated into future product-development activities. - Contribute to the continuous improvement of Product Quality processes, tools, templates, and standards. - Willing and able to travel up to 15% internationally to partners, suppliers, and contract manufacturers. QUALIFICATIONS: - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or a related technical discipline. - 3–5+ years of experience in Product Quality, NPI Quality, Manufacturing Quality, Product Engineering, or related engineering roles supporting consumer electronics, wearables, medical devices, or similarly complex hardware. - Experience supporting hardware products through one or more phases of product development, validation, manufacturing readiness, and/or launch. - Working knowledge of quality methodologies including DFMEA, PFMEA, CTQ, DOE, SPC, MSA, GR&R, root-cause analysis, CAPA/8D, and statistical quality methods. - Experience analyzing engineering and manufacturing data and applying structured problem-solving techniques. - Experience working with suppliers or manufacturing partners, preferably in a high-volume manufacturing environment. - Strong analytical and problem-solving skills with the ability to use objective data to identify and communicate product and manufacturing risks. - Effective written and verbal communication skills with the ability to collaborate across engineering and operations teams. - Ability to operate effectively in a fast-paced, collaborative environment while managing assigned priorities and deliverables. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. 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 $120,000 - $160,000. 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.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology and personalized insights help people optimize recovery, sleep, training, and overall health. As we continue to expand globally, ensuring our products meet evolving environmental regulations is critical to delivering innovative hardware to members around the world. We’re looking for a Senior Global Environmental Compliance Specialist to lead WHOOP’s global environmental product compliance. In this role, you’ll own the strategy, execution, and continuous evolution of our environmental compliance framework, ensuring our products meet global regulatory requirements throughout the product lifecycle while enabling rapid innovation and worldwide market access. RESPONSIBILITIES - Ensure WHOOP’s products meet environmental compliance standards in all current and planned global markets, including regulations such as RoHS, REACH, California Proposition 65, SCIP, POPs, battery, and packaging requirements. - Lead regulatory reporting, product declarations, and data submissions to ensure timely and accurate compliance across global markets. - Partner with Hardware, Operations and other cross-functional teams to ensure environmental compliance requirements are considered throughout product development, from concept through end of life. - Collaborate with Global Supply Management and suppliers to communicate evolving regulatory requirements, collect compliance documentation, and improve supplier readiness. - Monitor the global regulatory landscape, assess business impact, and provide recommendations that proactively address emerging environmental requirements. - Develop and improve compliance processes, documentation, and operational procedures that scale with WHOOP’s product portfolio. - Manage environmental compliance data and documentation within compliance management systems, identifying opportunities to improve efficiency through automation. - Develop and maintain Bio-compatibility testing standards as appropriate for wearable products. Ensure the team understands requirements applicable to each product and incorporates appropriate bio-compatibility tests early in development. - Partner with cross functional teams to satisfy Extended Producer Responsibility (EPR) obligations across global markets, including WEEE, Battery, and Packaging waste management registration, data reporting, and Producer Responsibility Organization (PRO) management. - Support company initiatives related to voluntary environmental standards and sustainability programs. QUALIFICATIONS - Required: Bachelor’s degree in Engineering or Science. Preferred: Materials focused degree or research. - At least 5 years of experience managing global environmental compliance for consumer electronics, wearables, or other hardware products. - Strong working knowledge of global environmental regulations, including RoHS, REACH, TSCA, California Proposition 65, SCIP, POPs, battery, and packaging requirements. - Experience managing environmental compliance data, documentation, and regulatory reporting using compliance management systems such as Greensoft or equivalent tools. - Demonstrated ability to interpret complex regulations and translate them into practical engineering and operational requirements. - Experience partnering across Engineering, Supply Chain, Operations, Quality, and Legal to drive compliance throughout the product lifecycle. - Excellent project management, communication, and organizational skills, with the ability to manage multiple priorities in a fast-paced environment. - Experience supporting voluntary environmental standards or sustainability certification programs. 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 $140,000 - $195,000. 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.

Location: El Salvador; Colombia; Nicaragua; Bolivia, Plurinational State of; Honduras; Guatemala We are seeking a detail-oriented, empathetic, and highly organized Paralegal / Case Manager to support a US-based law firm handling plaintiff-side litigation (employment law and personal injury). This is a hands-on operational role combining legal intake, client communication, case management, and drafting support. The ideal candidate possesses strong written and verbal English communication skills, a calm demeanor when handling sensitive intake calls, and hands-on experience managing cases within legal CRM platforms. Key Responsibilities 1. Legal Intake & Case Qualification Answer inbound phone calls, web leads, and texts from potential clients using the firm’s screening scripts. Conduct detailed intake interviews, gathering critical case facts (employer information, dates of employment, termination details, pay disputes, protected classes, or injury details). Perform initial case qualification checks (statute of limitations, employer size, at-will vs. contract status) and flag strong leads to the attorney on the same day. Send, track, and follow up on retainer agreements and intake forms via e-signature tools. 2. Client Management & Communication Provide a warm, steady, and empathetic phone presence for clients navigating job loss or personal injury. Schedule client consultations and manage attorney calendar availability. Conduct regular client check-ins on treatment progress, address status inquiries, and ensure no gaps in medical care occur. 3. Medical Records, Bills & Insurance Coordination Request and systematically track medical records and bills from healthcare providers. Correspond directly with insurance adjusters regarding claim setup, PIP/MedPay, liability, and property damage updates. Maintain accurate, up-to-date case notes, deadlines, and logs in the case management system. Flag fully documented files that are ready for demand drafting to the attorney. 4. Paralegal & Case Drafting Support Organize client documentation and construct structured case chronologies. Draft demand letters, administrative agency filings (EEOC, CRD, DLSE), and legal correspondence using firm templates. Follow up with clients proactively to gather outstanding records and evidence. Schedule: 9am - 5pm PST Requirements Experience: Minimum 1+ year of experience in a US law firm as a Case Manager or Paralegal (plaintiff-side litigation, employment law, or personal injury preferred). Communication Skills: Excellent spoken and written English with clear, professional drafting abilities for legal notes, attorney summaries, and client/adjuster correspondence. Phone Demeanor: Calm, steady, and empathetic phone manner suited for distressed clients. Core PI Lifecycle Knowledge: Solid grasp of the full case lifecycle (intake, medical treatment tracking, records/bills retrieval, demand preparation, negotiations, and settlement). Insurance & Provider Handling: Direct experience coordinating with medical providers and communicating with insurance adjusters. Software Proficiency: Hands-on experience with legal case management systems (Filevine, CASEpeer, Clio, Litify, SmartAdvocate, or equivalent). Organization: Highly organized with proven ability to manage heavy caseloads, prioritize deadlines, and drive proactive follow-ups. Client Systems & Tools Case Management Systems: Filevine, CASEpeer, Clio, Litify, SmartAdvocate, or similar legal CRMs. Communication & E-Signature: E-signature platforms (DocuSign/HelloSign), VoIP phone systems, and web lead management tools.

Location: EMEA; Romania; Hungary; Bulgaria; Ireland; Slovakia; United Kingdom; Poland; Estonia; South Africa; Greece ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. Location: While this position is posted in a specific region, all of Oyster’s positions are fully remote, and you can work from home. Forever. To create the best experience for our new hire, this role requires that you be based within UTC -1 to UTC +3 This is a one-year fixed-term contract that we anticipate ending in November 2027. In this highly strategic and client-facing role, you’ll be the go-to expert for our customers, team members, and internal teams, shaping and optimizing our global benefits provisions across a diverse portfolio of international markets. As a Senior Specialist, you operate with a high degree of autonomy and commercial acumen. You are the vital connector between our global benefits infrastructure, our internal teams, and our customers. You will balance strategic vendor management (maximizing coverage while minimizing costs) with deep internal and external enablement. You are an advisory benefits expert who loves translating complex provisions into accessible knowledge, hosting highly engaging AMAs, and leveraging modern AI tools to scale your impact on a worldwide scale. Key Responsibilities Strategic Vendor Management & Commercial Optimization - Trend Monitoring: Actively monitor macro global benefits trends and multi-regional regulatory shifts to ensure our offerings remain competitive, compliant, and forward-thinking. - Vendor Partnerships: Partner effectively with global, regional, and local benefits brokers and vendors, driving negotiations to maximize coverage provisions while aggressively minimizing costs. - Governance & Performance: Source and implement new benefits vendors globally. Create robust vendor scorecards, establish tight feedback loops, and lead impactful Quarterly Business Reviews (QBRs) to ensure solid, high-performing partnerships. Client-Facing Advisory & Escalation Support - Complex Escalations: Resolve highly complex international benefits queries and escalations that cannot be handled asynchronously by first-line teams. - Commercial Support: Join customer and team member calls, including pairing with the Sales team on high-value prospect calls, to confidently present, structure, and advise on our global benefits provisions. - Cross-Functional Collaboration: Partner with Customer Support, Sales, Product, and Legal to problem-solve cross-border and country-specific benefits challenges with pragmatic, business-minded solutions. Deep Enablement & Knowledge Management - Self-Serve Architecture: Build, own, and maintain a robust global repository of guides, FAQs, and self-serve documentation detailing the intricacies of our international benefits portfolio. - Internal Upskilling: Proactively train and upskill internal teams (Support, Sales, etc) to ensure they can confidently discuss multi-country benefits provisions with customers. - Interactive Training: Lead high-impact webinars and host live AMA (Ask Me Anything) sessions focused on benefits education for both internal and external audiences worldwide. Continuous Improvement & High Performance - Workflow Optimization: Continuously audit and refine global benefits delivery workflows to reduce ticket response times and elevate overall service quality. - AI & Automation Integration: Responsibly leverage AI and automation tools to streamline the generation, updating, and scaling of country-specific benefits documentation and processes (eg, renewals) across dozens of regions. - Trend Analysis: Analyze recurring benefits ticket data to identify systemic friction points, proactively building preventative resources and product feedback loops. Experience - 6+ Years of Global Benefits Experience: Deep expertise in international benefits design, compliance, and vendor management with a strong track record of supporting both internal stakeholders and external corporate clients across multiple continents. - True Cross-Country Expertise: Direct hands-on experience navigating nuanced benefits landscapes, statutory requirements, and local market norms across multiple global regions (e.g., AMER, EMEA, APAC, LATAM). - Strong foundational knowledge of international fringe benefits tax (FBT) frameworks and how country-specific benefit choices impact employee and employer tax liabilities. - Commercial & Solution-Oriented Mindset: Highly commercial in your ways of working; able to balance empathy for the end-user with rigorous cost management and business objectives. - Exceptional Communication & Presentation Skills: A natural educator who can translate intricate, technical benefits terminology into clear, accessible advice—both in writing and when presenting live to clients or senior leaders. - Stakeholder & Relationship Management: Proven success running QBRs, constructing vendor scorecards, and managing complex matrixed relationships across vendors, customers, and internal departments. - Tech-Forward & AI-Literate: Digitally savvy with a strong curiosity for HR tech. Practical experience using AI tools to accelerate drafting, research, and data analysis is highly valued. - Growth-Driven & Change-Ready: Thrives in a fast-paced, metrics-driven environment; comfortable navigating ambiguity and eager to move operations from reactive firefighting to proactive scaling. - AI Implementation: Proven experience implementing AI tools or automated workflows specifically within a benefits, HR, or Ops function. - Fast-Paced Environments: Background working in a fast-scaling startup or global tech environment. - [BONUS] Additional Languages: Professional fluency in multiple languages is a strong plus. - [BONUS] EOR Experience: Demonstrable experience working within or closely with an Employer of Record (EOR) model, navigating international benefits boundaries. You'll also need - A reliable home internet connection (or be able to get one) - Fluent English language HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Senior Payroll Specialist owns end-to-end Dutch payroll, operated in Nmbrs, and acts as the designated backup for the company’s other international payrolls. This role harmonizes, simplifies, and continuously improves payroll execution and payroll accounting across the company’s Dutch entities, pay groups, providers, and systems. This is to make sure payroll remains accurate, compliant, trusted, and understandable as the company grows without a proportional increase in manual work or risk. As international backup, the role maintains working proficiency in the company’s other country payrolls and provides continuity during peak periods, absences, and year-end. Your responsibilities will include: Own end-to-end Dutch payroll execution in Nmbrs across entities and pay groups: monthly and off-cycle runs, holiday allowance, year-end close and annual statements (jaaropgaven), and the payroll calendar; define consistent execution standards that meet Dutch statutory and contractual requirements. Ensure Dutch payroll tax and social security compliance: wage tax and national insurance contributions (loonheffingen), employee insurance and Zvw premiums, the work-related costs scheme (WKR), timely and accurate loonaangifte to the Belastingdienst, corrections, and resolution of Belastingdienst and UWV correspondence. Administer regulated and complex pay items accurately: the 30% ruling and other expatriate and cross-border arrangements, equity income (RSU/option) taxation, pension contributions and provider files, sick leave and statutory leave schemes, transition payments and termination settlements, wage garnishments (loonbeslag), and taxable benefits-in-kind. Run and reconcile shadow payrolls in Nmbrs for internationally mobile employees (inbound assignees, cross-border and remote workers, and outbound Dutch employees with a host-country shadow payroll) Serve as the designated backup for the company’s other international payrolls: maintain working knowledge of country calendars, providers, and controls, and run or support pay cycles during absences, peak periods, and year-end in coordination with the payroll owners. Lead root-cause analysis for recurring payroll, accounting, or service failures; design and implement durable fixes. Drive process harmonization and simplification to reduce manual steps, handoffs, rework, and off-cycle runs; make full use of Nmbrs functionality, integrations, and reporting. Lead payroll execution during transitions (new entity launches, provider or system changes, restructures/M&A), ensuring continuity and control. Ensure payroll accounting remains clean as scope changes: consistent journals, accruals, reversals, and reconciliation standards. Monitor preventative controls by design, including SOX-aligned payroll controls; improve evidence pack quality and audit readiness. Act as escalation owner for complex or sensitive pay issues; provide authoritative explanations to employees and senior stakeholders. Partner with HR Ops, Finance, Legal/Compliance, Nmbrs, and international payroll providers to deliver scalable operating models and service quality. We expect you to have: At least 7+ years of Dutch payroll experience, including multi-entity scope in complex environments (growth, change, or hybrid in-house/outsourced models). Hands-on Nmbrs experience is prefer: running payroll end to end, configuring wage components and journal mappings, managing loonaangifte and corrections, and using its reporting and integrations (HRIS, GL, pension and benefits providers). Deep working knowledge of Dutch payroll compliance: loonheffingen and social security, WKR, the 30% ruling, expatriate taxation and shadow payroll, pension administration, sick leave and statutory leave, termination settlements, and year-end reporting. Working knowledge of international payroll (running or overseeing outsourced country payrolls) and readiness to act as the designated backup for the company’s other payrolls. Strong payroll controllership skills: ability to design controls, enforce SoD/approvals, and ensure audit-ready evidence. Proven capability improving payroll processes (standardization, automation enablement, reducing manual effort and errors) and leading transitions (vendor/system/new entity) with structured planning and issue resolution. Strong payroll accounting knowledge and experience working with Finance during close and audits. Excellent stakeholder management; comfortable acting as an escalation owner and payroll authority. Fluent English and professional working proficiency in Dutch (statutory correspondence, legislation, and provider documentation are in Dutch). It will be an added bonus if you have: Dutch payroll qualification (PDL and/or VPS) and/or Nmbrs certification. Experience with international payroll providers or aggregators and multi-country operating models (SLAs, KPIs, remediation). Experience operating payroll controls in a SOX-compliant, US-listed company environment. Experience with equity compensation payroll (RSUs/options), including cross-border cases and trailing tax liabilities. Experience supporting Global Mobility programs: shadow payroll set-up, tax equalization/protection and hypothetical tax, gross-ups, and year-end assignee reconciliations with tax advisors. Experience turning statutory/operational requirements into system/workflow requirements (e.g., Nmbrs–HRIS–GL integrations). Project management certification or comparable experience leading cross-functional initiatives. Competencies & Behavioral Traits: Systems thinking: redesigns the process so it scales, rather than adding checks and manual work. Bias for prevention: anticipates issues and builds guardrails. Influence without authority; can align multiple stakeholders around standards. Comfort with ambiguity and change; makes decisions with incomplete information. Reliability and ownership: a dependable backup who keeps continuity across payrolls when it matters most. Strong coaching mindset; elevates capability across the payroll team. #LI-DY1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives.   WHOOP Labs is the on-site research facility for product development and innovation at WHOOP. We conduct human-centered hardware and algorithm research to create best-in-class product experiences that work for all members.   WHOOP is hiring a Researcher II to support research planning and execution on weekends, supporting critical data collection windows for participant diversity and expanded access. This role will cover a broad range of research studies for algorithm training, hardware validation, and design testing. While your home base will be WHOOP’s on-site product research facility, WHOOP Labs, studies will include field collections across the metro Boston area to widen access for diverse communities. Your efforts will support the organization as we continue to develop a best-in-class experience and lead the wearables industry.   *This role is fully onsite at our Boston, MA office and follows a 4x10 schedule, with four 10-hour workdays each week, Friday through Monday, and three days off Tuesday through Thursday.   RESPONSIBILITIES - Execute testing protocols across multiple concurrent studies, owning research execution on weekends and collaborating with other researchers on Friday and Monday to ensure consistent protocol administration across all days and shifts. - Own research documentation for weekend hours, collaborating with other researchers on Friday and Monday to ensure effective handoffs and information transfer across shifts. - Provide coaching and guidance to participants during exercise protocols, balancing data integrity, research best practices, and participant experience - Create a supportive and welcoming environment for participants engaging in a range of research tasks, from exercises to device interactions - Manage the use, troubleshooting, and upkeep of sensitive data collection equipment and prototype devices - Develop strong working knowledge of WHOOP’s research platform tooling suite, with the ability to troubleshoot issues in real time—including during active data collections—and problem-solve on the fly - Develop junior researchers by providing technical coaching, delegation, constructive feedback, and growth opportunities - Own daily lab management tasks required for data collections to be successful, such as laundry, equipment cleaning, material organization, and overall lab readiness - Serve as an ambassador for WHOOP Labs and the WHOOP brand   QUALIFICATIONS - Bachelor’s Degree in human physiology, biomedical engineering, psychology, HCI, or similar - Professional experience in research & development, human subjects research, or a related field, including 2+ years of experience conducting human subjects research - Strong technological background and working knowledge of data management systems including the Google Suite - Familiarity with research platform tools and hardware testing environments preferred - Strong interpersonal communication skills with a savvy for working as part of a highly collaborative, fast-paced team - Ability to manage multiple priorities and adapt quickly in dynamic research settings - Prior experience in customer service or other public-facing roles a plus - Strong written, verbal, and presentation skills, with confidence giving and receiving feedback across disciplines   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 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 $75,000 - $95,000. 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.

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

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, wellness and longevity, member insights, emerging health signals, and software as a medical device. Applied ML Scientists and ML Engineers work as a production unit: scientists own problem framing and modeling; engineers own the path to production. As a Senior Manager, Machine Learning on the Health team, you will own delivery and people outcomes across a mixed team of scientists and engineers. You will translate department strategy into clear quarterly plans, develop senior ICs (and, as the team grows, the next layer of managers), hire against a high bar for both crafts, and partner with Product and adjacent Health partners on what is worth building and what the data can support. You will stay close enough to the ML lifecycle to evaluate the team's most important decisions without becoming the default contributor. Success in this role requires enough ML and health-domain fluency to earn trust from senior ICs, plus the people-leadership skill to grow that team, hold delivery across multiple workstreams, and make prioritization calls under uncertainty. RESPONSIBILITIES: - Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team. - Translate department strategy into quarterly plans, milestones, and success criteria; keep the team on the highest-leverage work and adapt deliberately as priorities shift. - Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices. - Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage performance with clarity and care, and create the conditions for people to operate above their level. - Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices, and an operating model that holds as people and workstreams change. - Partner directly with Product (and with clinical, software, and Digital Health partners as the work requires) to align on roadmap, evidence, and sequencing; broker trade-offs between iteration speed, scientific integrity, and member value. - Own the risk posture for the team: anticipate execution, technical, and people risks, design mitigation into how the team operates, and keep senior leadership clearly informed of the most consequential decisions. - Define and own the operating model: planning cadences, design reviews, decision forums, and quality gates appropriate to member-facing health ML. - Build and continuously raise AI-enabled workflows that create measurable leverage across the team, for development, evaluation, documentation, and stakeholder communication. - Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity. QUALIFICATIONS: - 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams. - Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred. - Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them. - Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes. - Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain. - Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work. - Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence. - Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction. - Depth in a Health domain WHOOP already works preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work). - Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable. - Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes regulated health features preferred.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. 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 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.

About Upstart: At Upstart, the mission is to radically reduce the cost and complexity of borrowing for all Americans by leveraging creativity, experimentation, and advanced AI to reshape access to credit. The company partners with banks and credit unions to expand access to affordable credit through technology that uses over 3,000 signals to power smarter, fairer decisions for millions of customers. Upstart operates as a digital-first company with flexibility for employees to work remotely or from offices in Columbus, Austin, the Bay Area, or New York City. The Team: Upstart Bank is a technology-enabled bank combining innovative lending with disciplined balance sheet and risk management. The Treasury team manages the Bank's funding, liquidity, capital, investment portfolio, and interest rate risk across market conditions and economic cycles. Role and Responsibilities: - Own the Bank's asset and liability management (ALM) and interest rate risk measurement framework, including net interest income simulation, economic value of equity sensitivity, repricing gap analysis, and other measures to assess earnings and capital exposure across changing rate environments. - Lead implementation, configuration, and ongoing administration of the Bank's ALM platform, including data mapping and staging, source-to-model reconciliations, model controls, change management, vendor coordination, and issue resolution. - Develop, document, and regularly evaluate behavioral and market assumptions such as deposit betas and decay, loan prepayments and curtailments, repricing characteristics, funding rollover behavior, yield curves, and product optionality. - Perform sensitivity analysis, backtesting, and outcomes analysis. - Design and evaluate parallel and non-parallel rate shocks, ramps, curve twists, and business-plan scenarios. - Identify key drivers of risk, monitor limits and early warning indicators, and explain changes in the Bank's interest rate risk profile. - Recommend balance sheet, product pricing, funding, investment, and hedging actions to manage interest rate risk within approved appetite and limits. - Partner with business leaders to assess ALM implications of new products and balance sheet strategy changes. - Prepare ALM and interest rate risk reporting for the Asset and Liability Committee, executive management, the Board, Internal Audit, and regulators. - Support policy administration, model risk management, independent validation, examinations, audits, and continuous improvement of Treasury reporting. Minimum Qualifications: - Bachelor's degree in Finance, Accounting, Economics, Business, Mathematics, Statistics, or related field, or equivalent practical experience. - 10+ years of experience in bank treasury, asset and liability management, interest rate risk management, balance sheet management, or related discipline. - Experience in a commercial bank, community bank, or bank holding company applying ALM and interest rate risk concepts in a regulated environment. - Hands-on experience operating an ALM platform and producing net interest income and economic value sensitivity analyses under multiple rate and balance sheet scenarios. - Experience developing and governing model assumptions, reconciling source data to model inputs, analyzing model results, monitoring policy limits, and preparing ALM or IRR reporting for senior management or an Asset and Liability Committee. Preferred Qualifications: - Experience presenting ALM and interest rate risk analyses to senior committees, executive management, boards, auditors, and regulators. - Knowledge of bank regulatory guidance for interest rate risk and model risk management (OCC, Federal Reserve, FDIC). - Experience with fixed-rate consumer lending, retail and wholesale deposits, investment securities, derivatives, and balance sheet dynamics of a de novo or rapidly growing bank. - Advanced spreadsheet and financial modeling skills. - Proficiency with SQL or similar data tools. - Familiarity with ALM platforms such as Empyrean, QRM, BancWare, Moody's Analytics, or similar. - Experience supporting independent model validation, assumption backtesting, model change governance, hedging analysis, or funds transfer pricing. - CFA, FRM, or other relevant professional credentials are a plus. Position Location: - Remote within the United States. - Majority of work can be accomplished remotely with occasional in-person team onsite meetings once or twice per quarter. Compensation and Benefits: - Anticipated base salary range: $159,500 to $220,700 USD per year, depending on geographic location, skills, experience, and education. - Additional compensation includes target bonuses, equity compensation, and generous benefits packages including medical, dental, vision, and 401k. - Benefits include competitive compensation, retirement plans with company match, employee stock purchase plan (US only), comprehensive health coverage, health savings account contributions (US only), income protection benefits, paid time off and holidays, paid family and parental leave, family-centered benefits, employee assistance program, financial wellness resources, wellness and productivity allowances, team events, and onsite perks at offices. Equal Opportunity: - Upstart is committed to inclusive and fair hiring practices and provides reasonable accommodations during the hiring process upon request.

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.