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

One Month AgoSaved
In-Office
San Francisco, CA, USA
176K-242K Annually
Mid level
176K-242K Annually
Mid level
eCommerce • Fintech • Machine Learning • Retail
Build and own production marketing systems across landing pages, audience and attribute management, campaign automation, paid media feeds, marketing data, and recommendation surfaces. Write and deploy code, operate services on call, integrate AI agents with evaluations and monitoring, and create self-service tools for marketing teams. Partner with lifecycle, paid, brand, and product marketing to turn ambiguous needs into scalable capabilities.
Top Skills: Ai Coding AgentsAWSBrazeCockroachdbGoogle AdsGuiceHibernateHightouchHTTPIterableJavaJavaScriptJerseyJSONJunitKotlinLlmsMetaMySQLNext.JsProtocol BuffersReactSegmentSQLTypescript
2 Months AgoSaved
In-Office
San Francisco, CA, USA
237K-326K Annually
Expert/Leader
237K-326K Annually
Expert/Leader
eCommerce • Fintech • Machine Learning • Retail
Leads fulfillment strategy and analytics, owning north-star metrics, experimentation strategy, product analytics, brand-growth analytics, and cross-functional strategic initiatives. The role translates complex analyses into leadership recommendations, ensures reliable instrumentation and measurement, coordinates analytical partners, and builds scalable processes and AI-enabled workflows. It requires strong strategic problem-solving, communication, product intuition, experimentation expertise, and advanced analytical experience across product analytics, consulting, or business operations.
Top Skills: Claude CodeCodexCursorData ModelsData PipelinesExcelSQL
2 Months AgoSaved
In-Office
San Francisco, CA, USA
247K-339K Annually
Senior level
247K-339K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
Own the measurement and optimization of long-term value for discovery impressions on Faire’s marketplace. Build the LTV framework, define hypotheses and surrogate metrics, design long-horizon experiments, implement ranking experiments, and improve model accuracy for use across search, reorder, and advertising. The role requires production machine learning, causal inference, experimentation, statistical analysis, and data engineering expertise, along with strong cross-functional communication.
Top Skills: Causal InferenceData TransformationDeep LearningETLLearning-To-RankMachine LearningSearch And Recommendation SystemsSQLStatistical Modeling
2 Months AgoSaved
In-Office
San Francisco, CA, USA
211K-291K Annually
Senior level
211K-291K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
Own end-to-end applied machine learning projects supporting brand acquisition and growth on a two-sided marketplace. Develop targeting, personalization, lifetime-value, recommendation, lead enrichment, causal inference, and marketing optimization models. Partner with product, engineering, marketing, sales, and analytics teams to ship models, measure impact, and improve brand onboarding and marketplace outcomes.
Top Skills: Bidding OptimizationCausal Machine LearningExperimentationInformation ExtractionLarge Language Models (Llms)Lifetime Value ModelingMachine LearningNatural Language Processing (Nlp)PersonalizationRecommender Systems
2 Months AgoSaved
In-Office
San Francisco, CA, USA
198K-272K Annually
Senior level
198K-272K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
Own the global Enterprise brand growth opportunity across markets, setting strategy, sizing opportunities, shaping pricing and go-to-market plans, and leading cross-functional execution. Analyze performance, define KPIs, build operational processes, develop new supply growth models, and present recommendations to leadership. Partner with Product, Sales, Marketing, Data Science, and Program Management while mentoring peers as a senior individual contributor.
Top Skills: Ai ToolsExcelSQL
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2 Months AgoSaved
In-Office
San Francisco, CA, USA
247K-339K Annually
Senior level
247K-339K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
Lead the vision, strategy, and execution of applied AI/ML initiatives for Faire’s two-sided marketplace. Build recommendation, retrieval, ranking, personalization, LTV, causal inference, and LLM-driven content models. Develop systems for marketplace quality, trust, policy enforcement, and user engagement. Lead cross-functional workstreams, mentor or manage scientists and analytics engineers, and improve growth, acquisition, incentives, and discovery experiences.
Top Skills: Causal InferenceDeep LearningEmbeddingsEntity ResolutionExperimentationHuman-In-The-Loop TrainingInformation ExtractionLarge Language ModelsLifetime Value ModelingMachine LearningMultimodal AiPersonalizationRecommender SystemsRetrieval And Ranking Models
Reposted 2 Months AgoSaved
In-Office
San Francisco, CA, USA
192K-264K Annually
Senior level
192K-264K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
The Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.
Top Skills: ExcelMachine LearningSQL
Reposted 2 Months AgoSaved
In-Office
San Francisco, CA, USA
231K-318K Annually
Senior level
231K-318K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
Lead design and production of next-generation search and personalized recommendation systems using LLMs, dense retrieval, transformers, GNNs, and MLOps. Drive model development, GPU-based deployment, and <100ms low-latency ranking while mentoring applied scientists and MLEs and collaborating cross-functionally to productize search experiences.
Top Skills: BertDense Vector RetrievalFaissGpt-ClassGpusGraph Neural NetworksPineconePythonPyTorchScannTritonVector Search
Reposted 3 Months AgoSaved
In-Office
San Francisco, CA, USA
196K-270K Annually
Senior level
196K-270K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
Lead the science and technical direction for Compass, building agentic LLM features end-to-end. Drive data, evaluation, and modeling to improve agent quality, ship production features across backend/data/frontend, define eval/experiment frameworks, and collaborate on architecture and tooling to safely enable assistant actions.
Top Skills: Agent FrameworksFlareLlmsOpenai Agents SdkPythonRagSnowflakeWeb Search
Reposted 3 Months AgoSaved
In-Office
San Francisco, CA, USA
236K-325K Annually
Expert/Leader
236K-325K Annually
Expert/Leader
eCommerce • Fintech • Machine Learning • Retail
Lead Finance Systems & Data, driving modernization and AI adoption in finance. Manage architecture, oversee data integrity, and develop a high-performing team.
Top Skills: NetSuite
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