Top Tech Jobs & Startup Jobs in Boston, MA

The Platform Engineering Product Director will lead enterprise integration strategy and middleware platforms, focusing on scalability, performance, and integration solutions across various business functions, while mentoring teams and managing vendor relationships.

Lead SharkNinja's global Learning & Development practice and oversee US Talent Acceleration delivery. Build multimodal learning design, learning technology, measurement, and signature onboarding/leadership programs. Lead a matrixed US tX team, partner with business leaders, deliver regional execution, and prove learning impact through data while embedding AI-enabled approaches.

Provide securities and corporate governance paralegal support including preparing and reviewing SEC filings (10-K, 10-Q, 8-K, DEF 14A), supporting board and committee operations, maintaining governance records and insider trading/compliance processes, managing Section 16 and NYSE compliance, and maintaining domestic and international entity formalities.

The Manager, Technical Project Management leads product development projects, managing cross-functional teams and ensuring adherence to budget and timelines while presenting updates to stakeholders.

The Demand Gen Specialist drives SharkNinja's Amazon marketing by managing media campaigns, collaborating with teams, and optimizing budgets to increase brand awareness and engagement.

The Director of R&D Mechanical Engineering at SharkNinja will lead the engineering team, shape R&D strategy, drive innovation, and champion technical excellence across multiple product development programs.

Lead enterprise-wide quality programs, collaborating cross-functionally to ensure quality throughout the product lifecycle, driving improvements in compliance and consumer satisfaction.

The UX Designer will create user-centered app experiences for SharkNinja products, collaborating with cross-functional teams and developing designs from concept to implementation.

Lead and execute SharkNinja's AI integration across the engineering lifecycle: build unified engineering data infrastructure, deploy AI-powered tooling for design, testing, reliability, and program management, embed AI Fellows into teams, drive change management and adoption, and deliver measurable outcomes tied to faster, higher-quality product development.

Lead AI integration across People & Culture by building data foundations, deploying AI capabilities and workflows, managing cross-functional AI initiatives, driving adoption and measurable impact, and transforming HR service delivery, hiring, and internal storytelling. Operate as a strategic player/coach, prioritizing execution and scaling enterprise AI solutions.