Top Tech Jobs & Startup Jobs in Seattle, WA

Drive Lakebase revenue within Financial Services accounts by identifying opportunities, leading complex enterprise sales cycles, and selling managed Postgres for operational and AI-driven applications. Engage technical and executive stakeholders, orchestrate proof-of-value initiatives, support migrations and Postgres standardization, enable account teams, and partner with Product, Marketing, Customer Success, ISVs, and GSIs on strategic go-to-market motions.

Build and ship AI-powered features for GTM analytics: Genie agents, LLM-driven workflows, and in-app intelligence. Develop agentic workflows (prompts, retrieval, tool integrations), write Python/SQL against Databricks lakehouse and Lakebase (Postgres), evaluate AI outputs, and collaborate with engineers and stakeholders to deliver tested, production-ready code.

Lead Databricks' positioning as a strategic AI transformation partner to C-suite leaders: build executive relationships, co-create and operationalize AI transformation roadmaps, develop scaled engagement and co-sell models with partners, and establish an Expert Advisory Council to guide scaled AI adoption and value realization.

The Lakebase Sales Specialist drives adoption and revenue of Databricks Lakebase by engaging applications teams, conducting proof of value, and collaborating with account executives, showcasing the benefits of fully-managed Postgres for operational workloads.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

Lead transformation of global travel, expense, and corporate spend programs into a digital-first, automated model. Build scalable T&E strategy, oversee travel operations, manage suppliers and corporate card programs, implement AI-enabled expense automation and controls, ensure compliance and audit readiness, partner with cross-functional teams, and build a high-performing global team.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Guide enterprise customers in designing, securing, administering, and deploying Databricks environments on AWS. Architect scalable infrastructure, networking, identity, and security solutions; support pre-sales engagements through proofs of concept and technical content; and provide technical leadership, training, tutorials, and community contributions. The role requires expertise in AWS, distributed data architectures, infrastructure automation, programming, SQL, and customer-facing technical consulting, with travel up to 30%.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

Lead partner marketing with consulting and systems integrators to drive joint GTM plans, co-marketing programs, repeatable partner collateral, customer stories, partner communications, and measurable pipeline growth.