Top Tech Jobs & Startup Jobs in Seattle, WA

Manage onsite candidate experience and interview logistics across Databricks’ Seattle and Bellevue offices. Serve as the primary candidate contact, coordinate time-sensitive interviews, oversee greetings and room changes, troubleshoot issues in real time, and communicate with candidates, recruiters, sourcers, and hiring teams. The role also contributes to data-driven recruiting process improvements and requires strong organization, prioritization, accuracy, collaboration, and adaptability.

Leads R&D product finance, capital allocation, ROI measurement, engineering economics, workforce and location planning, and finance operations. Partners with Engineering, Product Operations, People, Workplace, and Facilities executives to optimize human and compute capital investments. Builds scalable financial workflows, supports procurement, accruals, headcount planning, and SOX compliance, modernizes reporting using Databricks, and develops a high-performing finance team.

Owns the financial economics and operations of Databricks’ multi-cloud platform spend. Responsibilities include driver-based forecasting, cloud cost attribution, unit economics, efficiency KPIs, infrastructure roadmaps, automated FP&A workflows, cost allocation, accruals, and reporting. The role partners closely with Cloud Engineering and Infrastructure Operations and uses billing and telemetry data to improve forecasting accuracy, gross margins, and cost visibility across products, regions, and cloud providers.

Leads finance strategy for AI products, including GPU supply and demand planning, cloud capacity procurement, product pricing, unit economics, margin analytics, KPI development, cost allocation, ROI analysis, and capital allocation. Partners with Engineering and Product executives, builds scalable financial systems, and develops a high-performing product finance team.

Build features for the Databricks platform as part of a collaborative engineering team. Interns manage projects from design through coding and feedback while learning to develop scalable, high-quality, secure infrastructure and products. Opportunities span full-stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing engineering teams. Participants receive dedicated mentorship and join a summer 2027 intern or co-op cohort.

Join Databricks as an Associate Product Designer in the 2027 new graduate cohort. You will collaborate with engineers, product managers, researchers, and customers to design platform features from discovery through implementation. Responsibilities include customer research, ideation, prototyping, usability improvement, data-driven decision-making, and communicating design perspectives. The role emphasizes enterprise technology, AI-enabled design workflows, visual hierarchy, information architecture, and solving complex, ambiguous problems collaboratively.

Product Design Intern will collaborate with product managers, engineers, customers, and designers to develop Databricks platform features. Responsibilities include conducting customer research, identifying user needs, managing projects from discovery through prototyping, applying user-centered design methods, performing usability testing, and communicating design decisions to cross-functional partners. This is a 12-week paid summer internship.

Leads technical strategy for large enterprise accounts, guiding customers through Databricks adoption and data-driven transformation. Partners with account executives, builds executive relationships and technical champions, presents solution strategies, coordinates virtual teams, supports ML and AI use cases, and mentors other team members. Requires pre-sales experience, enterprise account leadership, cloud and data expertise, and production programming experience.

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Leads strategic partnerships with cloud hyperscalers and neoclouds, negotiating bespoke commercial agreements and developing long-term growth opportunities. Collaborates with product, engineering, finance, sales, and marketing teams; builds executive relationships; creates data-driven business cases; influences product decisions; and establishes KPIs to measure partnership success. Requires extensive business development experience, cloud consumption-model expertise, strong analytical and presentation skills, and the ability to independently lead complex deals.