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

Lead customer engagements to architect, implement, and optimize large-scale Spark and Databricks workloads. Troubleshoot and tune distributed PySpark and DBSQL jobs, design PoCs/workshops, advocate technical solutions, mentor junior engineers, and collaborate cross-functionally to improve platform features and cost-efficiency.

Lead end-to-end customer engagements to architect, implement, and optimize large-scale Spark/Databricks workloads. Troubleshoot and tune PySpark and DBSQL jobs, design PoCs and workshops, advocate strategically for customers, collaborate cross-functionally, and mentor junior engineers on Lakehouse best practices.

Lead professional services projects to design, build, and deploy production-grade Databricks Big Data and AI solutions. Write production Python/Scala code, optimize Apache Spark workloads, design CI/CD and MLOps pipelines, advise on architecture and build vs buy decisions, and resolve complex performance issues while collaborating with product engineering.

Serve as the first dedicated Sales Engineer, lead technical discovery and tailored demos for CISOs and executive stakeholders, respond to security questionnaires/RFPs, build demo environments and technical collateral, create the SE playbook, and implement AI-driven automations to accelerate go-to-market.

Own and drive Cents OS product across in-store attendant tools (Cents POS) and operator-facing controls (Cents Business Manager). Define strategy, run discovery, write requirements, lead agile delivery with distributed engineering and design teams, track metrics, and execute launches. Engage stakeholders, conduct user research, and continuously improve processes to deliver reliable, scalable solutions that help laundromat and garment care operators run their businesses.

Supports operational implementation, governance, and AI initiatives for The Allstate Foundation. Coordinates Trustee and Grant Committee meetings, manages grantmaking processes and systems, tracks AI projects and training, liaises with finance and vendors, maintains documentation and trackers, and assists disaster response coordination. Identifies process improvements and ensures cross-team alignment.

Join the data science team to develop and optimize attention-measurement models, process massive behavioral datasets, build robust data pipelines, support ML systems in production, and deliver data-driven insights to product and client teams.

Own and evolve Moxie’s semantic layer (dbt + Omni), build benchmarking and segmentation datasets, enable embedded AI-driven analytics, lead revenue reconciliation and data governance, partner with BizOps to deliver actionable metrics, and lay groundwork for predictive and prescriptive analytics.

Executive leader who will build an enterprise data strategy and trusted-data foundation to enable production-grade, agentic AI. Responsibilities include mapping data state, standing up governed data marts/factories, implementing federated governance, enabling multi-agent AI and MLOps/LLMOps, and leading a data engineering and AI organization while ensuring continuity of existing platforms.

Lead operational execution for lifecycle marketing: own campaign calendar for email and SMS, translate strategy into plans, coordinate cross-functional teams, improve workflows and tooling, enforce QA, and track campaign performance and experiments.

Own and execute subscriber retention programs end-to-end to reduce churn and improve LTV. Design save, cancellation, and win-back flows; partner with Marketing, Product, and Analytics; lead a retention analyst; measure program ROI and churn impact; and continuously iterate using retention best practices.

Lead enterprise new-business growth across the US by prospecting, qualifying, and closing deals for LanguageWire's services and tech. Manage full sales cycle, maintain HubSpot CRM, forecast pipeline, negotiate contracts/RFPs, collaborate with onboarding and account teams, and build C-level relationships to secure and retain clients.

Deliver configuration, implementation, maintenance, and on-call support for enterprise SaaS clients. Drive client adoption and retention through training, custom materials, OKRs, and proactive engagement. Track bugs and tasks using Jira and Excel and communicate with internal teams and clients to ensure satisfaction.