Top Tech Jobs & Startup Jobs in Boston, MA

Lead strategic enterprise sales for Databricks’ Data Intelligence Platform within a focused enterprise account. Build relationships with CIOs and business leaders, expand usage across business units, drive value-based growth, exceed pipeline and revenue targets, manage forecasts in Salesforce, and develop internal and customer success plans. The role requires selling big data, cloud, SaaS, analytics, and AI solutions to large accounts using a consumption-based model.

Lead analyst relations programs to improve Databricks’ positioning in industry evaluations, including Gartner, Forrester, and IDC. Develop differentiated narratives, submissions, demonstrations, customer evidence, and executive briefings. Scale analyst relations through AI-assisted workflows, convert analyst feedback into product and go-to-market recommendations, and influence product, marketing, sales, and executive teams. Manage multiple deadline-driven workstreams while improving analyst advocacy, market visibility, and evaluation outcomes.

The Director, AI Sales will grow Databricks’ enterprise AI business by driving strategic account adoption, production usage, bookings, and consumption. Responsibilities include developing AI sales plays, enabling field teams, securing executive and technical sponsorship, advancing complex opportunities, coordinating sales and partner stakeholders, and translating customer feedback into product and go-to-market recommendations.

Drive enterprise sales of Databricks’ cloud data platform across new and existing accounts. Develop territory plans, engage CIOs and other senior decision-makers, manage complex sales cycles, identify opportunities, exceed pipeline and revenue targets, maintain Salesforce forecasting data, and use solution-based selling to communicate the value of Databricks, Apache Spark, and big data technologies.

Enterprise sales professional responsible for developing territory plans, engaging CIOs and executive stakeholders, closing new and existing enterprise accounts, managing complex sales cycles, exceeding pipeline and revenue targets, forecasting in Salesforce, and selling Databricks’ cloud data platform through a solution-based approach.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Build and grow Databricks’ CustomerLake sales business across enterprise and strategic accounts. Partner with Account Executives to develop pipeline, engage CMOs and marketing leaders, lead complex evaluations and negotiations, create quantified business cases, and drive adoption and revenue. The role also develops repeatable sales plays, enables field teams and partners, and shapes the emerging CustomerLake sales strategy.

Lead technical strategy for financial services customers by designing scalable data, AI, streaming, and analytics architectures. Own customer engagements from discovery through production deployment, advise senior technical stakeholders, drive Databricks adoption, lead competitive technical wins, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and the ability to translate complex architectures into business value.

Leads global pipeline strategy, executive pipeline governance, and Sales Development capacity planning. Builds pipeline targets, coverage models, operating cadences, compensation frameworks, and career architecture for xDR teams. Partners cross-functionally across Sales, Marketing, Partnerships, Product GTM, and Programs to improve pipeline generation and executive decision-making. Uses AI, automation, analytics, and strategic reporting to optimize workflows, productivity, and account coverage.

Lead Databricks’ global Genie sales organization, driving revenue growth, pipeline, enterprise adoption, and repeatable sales plays. Recruit and develop specialist sellers, coach complex enterprise deals, engage executive stakeholders, and partner with account teams, product, engineering, marketing, cloud providers, systems integrators, and ISVs. Shape product and go-to-market strategy while positioning Genie as a conversational analytics and enterprise data intelligence platform.