Top Tech Jobs & Startup Jobs in Singapore

Lead customer technical engagements across discovery, solution design, architecture reviews, proofs of concept, and live Databricks demonstrations. Design data engineering, analytics, and machine learning solutions; build production-quality code and reusable technical assets; manage frontline technical relationships; and partner with Account Executives on account strategies that expand platform adoption and consumption.

Lead technical strategy for customer accounts, guiding architecture discussions, platform adoption, production deployments, and consumption growth. Design scalable solutions across data engineering, machine learning, AI, and real-time analytics. Advise senior technical stakeholders, develop a technical specialization, coordinate cross-functional resources, demonstrate competitive platform advantages, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, cloud deployment experience, and excellent communication skills.

Lead AI product adoption and technical go-to-market strategy across Asia Pacific and Japan. Advise customers and executives on data, analytics, machine learning, and generative AI architectures; deliver presentations, demos, and competitive pitches; support field engineering and sales teams; develop enablement materials; influence product direction; lead specialist teams; and represent Databricks through conferences, webinars, and published content.

Lead Databricks’ enterprise sales organization across Malaysia and Indonesia, managing Enterprise Account Executives and owning team quota attainment. Develop strategic revenue plans, grow consumption among strategic financial services accounts, build executive customer and partner relationships, and translate technical data and AI capabilities into business value. The role requires Bahasa fluency, extensive enterprise software sales leadership, strong Data and AI expertise, hyperscaler relationships, and a proven record of developing high-performing teams.

The Lakebase Sales Specialist will drive revenue by closing Lakebase opportunities, engage with application development teams, and lead sales cycles. Responsibilities include strategic account engagement, field enablement, and market thought leadership, requiring deep knowledge in enterprise SaaS sales and operational databases.

Own and operate an AI-first sales prospecting program: design metrics, reporting, governance, sequencing, adoption, enablement, and executive cadences. Partner cross-functionally (AI Ops, Sales Ops, GTM Analytics, Enablement) to build data foundations, run reviews, drive adoption, and iteratively improve AI-native prospecting at scale.

The Enterprise Account Executive will drive sales of Databricks' Unified Analytics Platform by engaging with enterprise customers, managing sales pipelines, and achieving revenue targets.

Lead and scale a regionally focused Forward Deployed Engineering team partnering with enterprise accounts to deliver data platform migrations, AI/ML and GenAI solutions. Drive delivery governance, billable performance, and high-stakes customer engagements while mentoring engineers and ensuring measurable business impact.

Lead and manage a team of Partner Solutions Architects, providing technical guidance to consultative partners, driving customer success, and enhancing partner engagement with the Databricks platform.

Sell and grow Databricks accounts in the public sector: prospect and close new business, expand existing accounts, evangelize the Databricks platform, engage business and technical decision-makers, drive partner-led opportunities, and exceed pipeline and revenue targets while creating a territory strategy focused on public sector customers in Singapore.