Top Tech Jobs & Startup Jobs in Boston, MA

Leads North American Product Success, defining its strategy, operating model, talent standards, customer onboarding, product health, usage analytics, and revenue motions. Owns retention, renewal, expansion, adoption, NPS, and forecasting outcomes while partnering with Sales, Customer Success, Product, and Product Marketing. Manages 5–7 leaders within an 80+ person organization and develops scalable, data-driven processes across a growing SaaS portfolio.

Own the rollout and scale of AI agents and shared AI platform capabilities across Teamworks’ sports technology products. Drive beta-to-general-availability launches, AI-powered workflows, technical standards, integrations, evaluation datasets, regression testing, permissions, usage measurement, packaging, and customer adoption. Partner across product, engineering, and commercial teams to deliver reliable, secure AI experiences handling sensitive athlete data.

MBA Strategy Intern supporting market and product growth through research, quantitative analysis, business cases, market modeling, pricing analysis, and strategic recommendations. The role also involves leading cross-functional projects, developing growth initiatives, and solving complex business problems across products and markets.

Own and scale Teamworks’ Player ID soccer talent identification product across strategy, development, adoption, and iteration. Partner with data science, data engineering, product engineering, sales, and customer success teams to transform complex player data into actionable scouting and recruitment experiences. Engage soccer clubs, analysts, scouts, and sporting directors to validate the product, adapt it for global markets, and drive roadmap decisions using product analytics.

Own marketing operations, enterprise B2B attribution, campaign and event tracking, lifecycle triggers, and marketing data alignment. Build the infrastructure connecting campaigns, website activity, in-app messaging, pipeline, and revenue. Lead automation and AI agent development to replace manual execution across demand generation and product marketing while operating initially as a team of one.

Develop statistical and machine learning models using soccer tracking and event data to support player recruitment decisions. Build spatio-temporal models, metrics, analyses, and interpretation tools; validate models; communicate findings to professional club clients; and partner with engineering on cloud deployment and production reliability. The role also includes code review, model maintenance, and advancing analytical methods.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Own the product strategy, roadmap, team, customer relationships, and P&L for Teamworks’ Coaching, Player Personnel, Recruiting, and Intelligence portfolio. Lead AI strategy across sports markets, integrate acquired products, align engineering, design, data science, marketing, and sales, and convert proprietary sports data into AI-powered workflows. Represent the business with teams, leagues, and partners while driving multi-market growth and product execution.

Own the AMS frontend, designing and shipping React and TypeScript features for data-intensive grids, forms, dashboards, and widgets. Integrate RESTful APIs using TanStack Query, manage state with React Context or Zustand, implement SurveyJS forms, and optimize performance for large datasets. Collaborate with backend engineers and designers, contribute to code reviews and Agile ceremonies, and work across time zones with an Australia-based team. The role requires US citizenship and willingness to pursue future security clearance.

Own go-to-market for Coaching and Personnel product categories: gather market, customer, and competitive insights; define positioning and messaging; lead product launches and multi-channel campaigns; build enablement, playbooks, and training for Sales and CS; use Customer.io to drive adoption; define and track KPIs; create AI-driven workflows and partner with Product, Sales, Customer Success, and Executive leadership to grow adoption.