Top Tech Jobs & Startup Jobs in Boston, MA

The Director of Strategic Accounts will manage B2B sales cycles, develop relationships with healthcare partners, and guide account strategy, ensuring customer satisfaction and effective reporting.

The Growth Product Manager will enhance user engagement and retention by optimizing the onboarding experience, driving usage through product features, and collaborating with marketing on growth strategies.

Own full-cycle recruiting for Engineering and Product roles: source outbound candidates, partner with hiring managers, maintain Ashby ATS data integrity, close hires, and iterate on evaluation and calibration.

The Backend Infrastructure Engineer develops and maintains infrastructure, manages CI/CD pipelines, writes backend services, enhances developer experience, and ensures security compliance in a hybrid role.

Founding Head of Legal to build and lead the in-house legal and compliance function for an AI-driven healthtech company. Partner across teams on commercial contracts, healthcare regulatory compliance, insurance billing, privacy/security, financings, corporate governance, employment, IP, and vendor management. Manage outside counsel, design scalable processes, and enable growth while balancing legal risk and business momentum.

Lead frontend design and implementation for patient and physician products, shape frontend architecture (design systems, state, testing, performance), integrate AI/LLM features with backend/ML teams, and deliver polished, accessible, high-performance interfaces in a hybrid NYC/Boston environment.

Full‑stack engineer shipping AI-enabled clinical products. Build physician-facing web and mobile interfaces, integrate ML/LLM features to production, and develop enterprise integrations (EMR, claims, HIE). Collaborate with product, design, clinical, and ML teams to scale infrastructure for hundreds of thousands of users.

Own and evolve core backend platform primitives: external APIs, retrieval/search (RAG) infrastructure, unified health data models including time-series, and enterprise integrations to support AI-driven clinical workflows and multi-tenant reliability.

Lead full‑stack engineering initiatives to build AI-enabled healthcare products. Ship physician-facing web and mobile features, integrate ML/LLM tooling, architect scalable back-end systems and health data pipelines, and collaborate cross-functionally with product, clinical, and research teams.

Owner of the semantic layer: build and maintain core data models and metrics, run dbt orchestration with CI/CD and testing, implement reverse ETL pipelines, and enforce PHI access controls to keep data HIPAA-compliant.