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

Build, scale, and operate production-grade machine learning systems powering real-time personalization. Lead cross-functional ML initiatives, develop and validate models, create scalable data-analysis processes, prevent regressions through testing, and improve system quality. Partner with Product and Engineering while providing technical leadership in a fast-paced startup environment.

The Staff Software Engineer will build and scale machine learning systems for personalization, collaborating with teams to enhance project quality and performance.

As a Senior Machine Learning Engineer, you will design and operate scalable ML systems for real-time personalization, collaborating with teams and mentoring engineers.

Lead and grow an applied/data science team to define vision, develop ML and causal inference solutions, establish experimentation and measurement best practices, translate business problems into scalable models, partner with Product and Engineering to productionize models, and influence executive strategy with data-driven insights.

Lead incentive compensation strategy and administration across go-to-market teams. Design plans, payout models, accelerators, and policies; oversee commission calculations, reconciliations, forecasting, accruals, and payroll delivery. Analyze plan effectiveness, costs, margins, and attainment, partnering with Finance, Accounting, Legal, People, Payroll, and Revenue Operations. Improve compensation systems and data quality, communicate complex plans clearly, and manage and develop the compensation team.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Drive expansion, upsell, renewal, and retention opportunities across strategic customer accounts. Build executive relationships, identify growth opportunities, manage pricing negotiations, forecast pipeline, present usage and engagement data, and close commercial deals. Partner with Customer Success, Legal, Finance, and Deal Enablement teams while managing customer commercial inquiries. The role focuses on Fortune 100 retail and e-commerce accounts and requires strategic account development, quota attainment, objection handling, and up to 25% travel.

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Leads and scales a team of Mid-Market Account Executives responsible for new-business revenue. Oversees coaching, outbound pipeline generation, deal strategy, forecasting, performance management, hiring, and seller development. Partners with cross-functional teams to improve go-to-market execution, positioning, and sales processes. The role also uses data and AI-enabled workflows to improve sales efficiency and revenue performance in a high-growth SaaS environment.

Lead the technical direction of Attentive’s compute and networking platform. Build reusable AWS infrastructure, Kubernetes systems, APIs, and self-service tools while improving reliability, scalability, cost efficiency, security, and developer productivity. Own complex cross-team initiatives from design through production, diagnose sophisticated infrastructure issues, improve CI/CD and observability, mentor engineers, and establish effective AI-assisted development practices.