Top Tech Jobs & Startup Jobs in Boston, MA

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.

The Senior Software Engineer will design and develop solutions on Salesforce, support software maintenance, and mentor junior engineers while driving feature development and business analysis.

The Release Engineer II manages software release planning, scheduling, and deployment across multiple applications, ensuring alignment with business goals and minimal disruption. Responsibilities include risk management, communication of release plans, and continuous improvement of release processes while integrating Agile and DevOps principles.

Lead vision, strategy, and roadmap for marketing and media analytics products. Partner cross-functionally to build measurement, attribution, audience analytics, experimentation, forecasting, and reporting capabilities. Define data requirements, evaluate external partners, drive adoption, and measure business impact tied to media investment and marketing outcomes.

Lead product management and UX design for supply chain technologies (WMS, TMS, custom platforms), owning strategy, roadmaps, vendor ecosystem, KPIs, and cross-functional alignment to improve fulfillment speed, cost, reliability, and scalability across stores, DCs, and vendors.

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

Lead planning, oversight, and coordination of Athlete Intelligence and Data projects, manage cross-domain alignment and stakeholder engagement, and facilitate program delivery and reporting in a complex environment.

Lead enterprise analytics for customer activation, CRM, loyalty, and lifecycle measurement. Own segmentation, propensity modeling, experimentation, identity strategy, reporting, and Adobe platform adoption. Manage leaders and teams, drive data-driven personalization and test-and-learn culture, and deliver executive insights that inform acquisition, engagement, retention, and long-term customer value.

Lead and grow a team of software engineers building custom and SaaS solutions for Vertical Brands. Partner with Product and Design to deliver roadmap initiatives, ensure technical excellence, manage delivery and resources, drive data-driven product improvements, and mentor engineers to build capabilities and high-performing culture.

Design, build, and maintain scalable, reliable athlete order systems. Analyze business and software requirements, implement features, tune databases, and fix defects. Collaborate with product and cross-functional teams to support event-driven, high-throughput order processing using Kafka, Postgres/Cosmos, and search technologies.