Top Tech Jobs & Startup Jobs in Boston, MA

Supports global indirect tax compliance across U.S. and international jurisdictions, including sales and use tax, VAT, GST, registrations, audits, notices, refunds, and tax authority inquiries. Analyzes large datasets, prepares tax-return data, performs reconciliations, maintains tax systems and workflows, and partners with internal teams and external providers. The role also investigates issues, recommends solutions, improves controls, and automates recurring processes.

Supports month-end close activities, including journal entries, accruals, reconciliations, fluctuation analyses, fixed assets, prepaid expenses, and expense management. Prepares marketing accruals, supports audits and reviews, and partners across business teams. Contributes to finance transformation through system implementations, process documentation, automation, and AI-driven efficiency initiatives.

Lead governance, risk, and compliance activities for AI/ML systems, LLM integrations, AI agents, and related vendors. Conduct AI risk and third-party assessments, map controls to frameworks, manage remediation, support audits, develop AI-specific policies, report risk metrics, monitor regulatory developments, and coordinate incident governance with Legal, Security, Product, and Engineering teams.

Own strategy and roadmaps for WHOOP’s identity and internationalization platforms. Manage authentication, authorization, identity lifecycle, and member-facing login experiences across mobile, web, and API products. Drive security, conversion, and usage metrics; conduct research and analysis; define requirements; coordinate product discovery and delivery; manage vendors; and collaborate with engineering, security, finance, marketing, and growth teams on global expansion and business impact.

Leads enterprise Security Engineering and Security Operations strategy, teams, technical standards, roadmaps, and measurable outcomes. Oversees detection and response, incident readiness, security automation, identity, cloud, endpoint, SaaS, data protection, and AI security. Manages significant incidents, security partners, organizational design, hiring, and cross-functional collaboration while developing managers, engineers, and analysts. Partners with the CISO to strengthen security posture and operational performance in a sensitive-data technology environment.

Lead the technical direction and execution of WHOOP’s foundation AI modeling efforts across wearable sensor data, language, biomarkers, and behavioral signals. Drive high-risk research from hypothesis to production, shape AI strategy and infrastructure decisions, collaborate across research, product, and engineering, mentor senior technical talent, establish evaluation standards, and represent WHOOP externally through recruiting, partnerships, and the machine learning research community.

Lead system architecture and technical strategy for WHOOP wearable hardware platforms. Define requirements, interfaces, architecture documentation, and verification and validation strategies across electrical, mechanical, firmware, sensing, and algorithm teams. Drive technical decisions, design reviews, risk mitigation, supplier and manufacturing collaboration, and product roadmap recommendations. Mentor engineers and establish systems engineering best practices. The role requires up to 15% domestic and international travel and is based in Boston, Massachusetts.

Leads direct-to-consumer commercial planning, revenue forecasting, performance management, executive reporting, and operating cadence. Partners with Growth Marketing, Finance, Supply Chain, and Analytics to evaluate performance, prioritize investments, develop pricing and promotional strategies, and translate analysis into actionable recommendations. Drives cross-functional initiatives from strategy through execution, improves forecasting methodologies and planning processes, and influences senior stakeholders without direct authority.

Leads end-to-end manufacturing new product introduction programs for consumer hardware, from prototype through mass production. Owns readiness across EVT, DVT, PVT, pre-production, and ramp; coordinates engineering, quality, supply chain, operations, suppliers, and contract manufacturers. Develops schedules, risk registers, issue tracking, validation plans, and operating cadences while driving factory readiness, process validation, yield, capacity, equipment deployment, and cross-functional issue resolution. The role is Boston-based and requires international travel up to 25%.

Leads WHOOP’s cloud-based machine learning organization responsible for sleep, recovery, and training algorithms. Manages ML scientists and engineers, establishes technical standards and development practices, guides architecture and deployment, and partners with platform, hardware, sensor, product, research, and engineering teams. The role requires scaling production ML systems, improving model validation, monitoring, and deployment, and translating physiological sensor capabilities into reliable consumer experiences.