Top Tech Jobs & Startup Jobs in London

Leads Databricks’ international communications strategy across Europe, Asia, and the Americas. The role develops market-specific PR programs, identifies regional news opportunities, advises business leaders, manages international communications teams and PR agencies, and builds relationships with regional media. It requires strong global communications expertise, people leadership, agency management, and the ability to balance global consistency with local relevance across diverse markets.

Lead technical pre-sales engagements for Databricks, demoing Spark and data/AI solutions, building architectures, authoring reference materials, and collaborating with account teams to design and deliver customised proofs-of-concept and workshops.

Leads and scales Databricks’ EMEA Forward Deployed AI Engineering team, overseeing hiring, mentoring, customer relationships, strategic AI professional services engagements, delivery processes, account outcomes, and cross-functional collaboration with Sales, Product, Research, Engineering, and GTM teams. The role guides enterprise customers through AI/ML transformations, develops scalable engagement models, manages executive stakeholders, and drives production ML and GenAI solutions in cloud environments.

Lead customer-facing delivery of production-grade data and AI solutions using Databricks. Own architecture and design decisions across data engineering, distributed computing, ML/AI integration, and application development. Embed with enterprise customers, guide technical teams, manage delivery scope and outcomes, train stakeholders, resolve implementation issues, and contribute reusable frameworks and product feedback. The role requires hands-on coding, cloud expertise, Spark experience, technical project delivery, and approximately 20% customer travel.

Lead end-to-end technical strategy for customer accounts, design scalable data, AI, streaming, and analytics architectures, and guide production deployments. Serve as a trusted advisor to senior technical stakeholders, drive Databricks adoption and consumption, lead competitive technical wins, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, cloud expertise, distributed data systems knowledge, and excellent communication skills.

Own and expand a strategic portfolio of UK public-sector accounts while developing new departmental and agency opportunities. Build territory go-to-market plans, translate government priorities into Data and AI value propositions, manage consumption-led land-and-expand sales, engage senior stakeholders, develop business cases, and coordinate internal teams, cloud providers, and partners. The role requires disciplined forecasting, structured sales methodology, public-sector procurement knowledge, and security-clearance eligibility.

Sell Databricks’ cloud-based data and AI platform to high-growth, venture-backed digital-native companies. Responsibilities include prospecting, closing new accounts, expanding existing accounts, engaging executives and technical stakeholders, developing account strategies, communicating value, allocating internal resources, and exceeding pipeline, activity, and revenue targets.

Customer-facing AI engineer delivering and productionizing GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, present at conferences, and collaborate with product and engineering to shape roadmap and influence priorities.

Lead technical customer engagements for Databricks Customer Lake, guiding architecture, data engineering, identity resolution, audience activation, and agent deployment. Deliver presentations, workshops, proofs of concept, and customer-facing collateral while partnering with sales, marketing, engineering, product, GSIs, and consulting organizations. Advise executive and technical stakeholders, manage complex escalations, influence product strategy, and improve qualification and POC processes to drive adoption and expansion.

Serve as a technical advisor to enterprise customers, architecting, securing, administering, and automating Databricks deployments across AWS, Azure, and GCP. Lead cloud networking, identity, infrastructure-as-code, platform operations, and distributed data architecture discussions. Demonstrate custom solutions in competitive sales engagements, support platform adoption, collaborate with field teams and partners, influence product direction, and contribute to customer-facing thought leadership. The role requires strong Python and PySpark/Spark coding, Databricks expertise, executive communication, and up to 30% travel.