Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Product Marketing Director will lead strategy for Lakewatch, driving growth through pipeline acquisition, product launches, and market positioning in the cybersecurity domain.

As a Solutions Architect, you will lead technical initiatives, develop data solutions for customers, and collaborate on data engineering and machine learning projects.

Lead Databricks' global strategic partnership with Accenture, managing a global alliance team to grow revenue, scale the Accenture Databricks Business Group, drive joint go-to-market programs, executive engagement, training, repeatable IP investments, and joint customer adoption across AMER, EMEA and APAC.

The Specialist Solutions Architect will guide customers in architecting ML & AI applications, provide advanced technical support, and collaborate cross-functionally to enhance Databricks' AI offerings.

Customer-facing, hands-on engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, implements data pipelines, ML/AI integrations, applications, and reusable accelerators; embeds with customer teams, manages technical delivery, and ensures scalable, secure production deployments.

Lead and grow the AI Forward Deployed Engineering team, oversee customer AI/ML transformations, and develop strategic partnerships while managing key accounts.

Partner with sales and engineering teams to design and deliver Databricks-based big data and ML solutions for strategic customers. Drive technical discovery, build proofs-of-concept, validate cloud integrations, promote open-source projects (Spark, Delta Lake, MLflow), and build executive-level relationships to accelerate adoption and win competitive deals.

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.

The Senior Technical Marketing Engineer will build data-native applications, create demos, and develop technical content for Lakebase and Databricks Apps, focusing on user experience and application patterns.

The role involves exceeding ARR and pipeline targets, modernizing SIEM with Lakewatch, selling to technical and business stakeholders, and driving sales strategies in partnership with account teams.