Top Tech Jobs & Startup Jobs in Boston, MA

Provides U.S. and global employment-law advice on compensation, benefits, pay equity, recruiting, mobility, immigration, employee privacy, HR AI, and M&A. Drafts employment documents, supports disputes, leads cross-border projects, advises on workforce technology and AI governance, monitors legal developments, and develops scalable legal processes. Partners with People, recruiting, privacy, tax, security, corporate development, and regional legal teams in a fast-moving technology company.

Lead and grow an enterprise sales team responsible for quota attainment, new-logo acquisition, Databricks usage growth, forecasting, and customer outcomes. Build trusted customer and partner relationships, develop enterprise territories, promote value-based selling, and foster a high-performance culture. The role requires leading account executives in Big Data, cloud, analytics, and AI markets while supporting regional growth plans and partner ecosystems.

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, pilot MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery and architecture discussions; manage agile delivery, testing, security, performance, adoption, and stakeholder alignment. Partner with executives, sales, and engineers to deliver production-ready solutions and identify follow-on opportunities.

Customer-facing senior engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Leads end-to-end projects spanning data engineering, distributed Spark systems, MLOps, and user-facing applications, embeds with stakeholders, delivers measurable outcomes, and contributes reusable assets and best practices.

Lead day-to-day operation and maturation of Databricksprivacy compliance program, develop AI-enabled controls, run privacy by design and risk assessments, manage data subject rights, contracts (DPAs, SCCs), regulatory engagement, incident response, policy development, cross-functional training, and continuous process improvement across the company.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI solutions on Databricks. Own architecture, implement data pipelines, ML/AI integrations, applications, and reusable assets. Embed with customers, guide adoption, manage technical delivery, and collaborate cross-functionally to drive measurable outcomes.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Leads partner technical enablement and platform adoption for Customer Lake and Lakewatch. Co-architects enterprise data solutions, expands observability deployments, advises partner executives, creates reusable architectures and deployment blueprints, and coordinates cross-functional go-to-market initiatives. The role requires advanced coding, data architecture, Databricks, cloud, data governance, monitoring, and executive influence expertise, with responsibility for driving consumption growth and competitive enterprise wins.

Drive enterprise adoption of Databricks Genie by achieving consumption, bookings, and activation goals. Build executive-backed opportunities, develop repeatable field plays, enable account teams, and coordinate sales, solutions architecture, business units, and partners. Translate customer and market feedback into product and go-to-market recommendations while expanding production deployments. The role requires enterprise software sales or consulting experience in BI, analytics, data platforms, embedded analytics, or business-facing AI, along with complex buying-center navigation, value selling, land-and-expand execution, and partner strategy development.