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

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Own the strategy, business case, experimentation roadmap, and launch of Liftoff’s zero-to-one e-commerce advertising platform. Lead product development from beta toward general availability, partnering with engineering, machine learning, legal, finance, sales, and customers. Responsibilities include optimizing funnel performance, defining traffic quality standards, managing identity and attribution architecture, overseeing e-commerce integrations, guiding go-to-market strategy, and making data-driven scaling, pivot, or shutdown decisions.

Lead and scale Liftoff's investor relations function for a newly public company: manage quarterly earnings process, draft earnings materials, build IR infrastructure, synthesize analyst/investor feedback, track shareholder activity, prepare senior management briefings, and manage roadshows and investor communications.

Own end-to-end product analytics: define questions and success metrics, run A/B tests, build dashboards and reusable SQL/Python analyses, investigate performance changes, and collaborate with Product, ML, and Data teams to inform product decisions.

Lead and manage all non-US tax compliance and financial reporting across jurisdictions. Oversee tax provisions, forecasting, modeling, vendor relationships, audits, regulatory monitoring, and cross-functional tax projects while improving processes and supporting leadership with quantitative insights.

The Security Engineer will manage Liftoff's SIEM, lead the adoption of AI-augmented SOC tools, triage alerts, and improve incident response processes while collaborating on various security functions.

Lead Commercial FP&A deliverables including daily/weekly revenue reporting, variance analysis, executive and Board materials, sales target-setting, commission reviews, and ad-hoc revenue analyses. Maintain and improve reporting infrastructure, partner with Revenue and Sales Operations, and provide concise commentary to support in-quarter decisions for commercial leadership.

Design, prototype, and productionize generative AI features and agentic workflows. Build Python services, TypeScript/React UIs, data pipelines, evaluation and instrumentation, and safeguards. Partner with product and stakeholders to measure impact, ensure reliability, and mentor engineers.