Top Tech Jobs & Startup Jobs in Boston, MA

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.

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.

Sell Databricks enterprise cloud data platform to Financial Services customers. Manage full sales cycle with CIOs and IT/LOB execs, close new and expansion deals, track pipeline in Salesforce, exceed quota, and drive customer satisfaction and internal account plans.

Provide corporate legal support across M&A, venture and capital transactions, securities compliance and public-company readiness, governance, board materials, disclosure controls, antitrust counseling, international subsidiary management, ESG reporting, and cross-functional stakeholder advising to scale legal processes for a fast-growing technology company.

Lead strategic enterprise sales within CMEG accounts by building C-level relationships, driving value-based growth, expanding Databricks adoption, exceeding pipeline and revenue targets, managing forecasting in Salesforce, and positioning Databricks' Data + AI platform for new use cases and business units.

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.

Lead and operate the Product Legal program: own workstreams, build and maintain Jira automations, route and track legal requests, develop AI tooling and agents to automate legal tasks, maintain operational dashboards, and coordinate compliance rollouts while driving continuous process improvements across legal, engineering, and product teams.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery, architecture reviews, agile delivery, testing, production readiness, launch, adoption, and strategic handoff. Build C-suite relationships, translate business needs into technical requirements, resolve delivery risks, and identify future high-value opportunities.