Top AI Jobs in San Francisco Bay Area, CA

Lead product strategy and development for AI-powered contract solutions serving sales, procurement, and finance teams. Translate customer needs into product investments, experiment with AI models, evaluate reliability, collaborate with engineering and design, conduct customer research, support adoption, and make prioritization tradeoffs. The role involves shaping a major expansion of Ivo’s B2B SaaS product and delivering workflows that reduce manual contract-related work.

Own the roadmap, product execution, customer adoption, and growth of Benchling’s scientific AI model platform. Define user experiences across UI, APIs, and MCP; prioritize models and capabilities; translate customer needs into engineering requirements; and collaborate with engineering, science, legal, strategy, and sales teams. The role involves customer discovery, rapid experimentation, technical product direction, and scaling reliable, cost-effective model usage.

Own Fieldguide’s internal audit product as a new business, including strategy, P&L, product direction, customer discovery, design partnerships, initial sales, go-to-market enablement, team building, and scale decisions. The role requires taking the product from zero to one, working with engineering and design, selling to senior audit buyers, and determining whether to invest in or discontinue the business.

Leverage quantitative analytics, modeling, dashboards, and emerging AI technologies to solve client challenges across supply chain, distribution, wholesale, retail, and commercial operations. Lead project workstreams, manage stakeholders and teams, translate findings into executive recommendations, and support transformation initiatives. The role requires strong client communication, strategic problem-solving, project leadership, and the ability to deliver measurable business impact in a consulting environment.

Manage SailPoint identity governance and access management workstreams, including provisioning, role design, lifecycle controls, access reviews, entitlement management, and policy enforcement. Analyze identity and authorization data to identify risks, recommend remediation, and configure integrations. Collaborate with clients and internal teams, track delivery milestones, review cybersecurity and privacy deliverables, apply AI-enabled tools, and mentor junior team members.

Leads Expedia Group Advertising’s measurement and insights product portfolio, including attribution, reporting, incrementality, advertiser optimization, agentic analytics, clean-room connectivity, and traveler insights. Owns the product strategy and roadmap, manages five product managers, establishes methodological standards, and partners with analytics, engineering, machine learning, legal, privacy, marketing, and commercial teams to drive advertiser growth.

Leads fraud analytics and AI modeling initiatives, including fraud detection models, scenario design, alert management, regulatory remediation, and monitoring solutions. The role directs client delivery, translates fraud risk requirements into scalable Python-based analytics, guides model validation and control enhancements, develops executive relationships, identifies business opportunities, and mentors emerging leaders across financial crime programs.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Leads client-facing applied AI engineering engagements in healthcare, from solution design through deployment. Translates clinical and health services needs into AI requirements, architectures, and roadmaps; designs RAG, memory, prompt, and agent orchestration components; guides data, model integration, and cloud implementation; evaluates model performance; advises on AI platforms and governance; and develops LLMOps and AgentOps practices. Coaches teams, resolves delivery challenges, and communicates technical decisions to clients and leaders.

Leads LogicMonitor’s AI operations and workforce transformation strategy, including AI adoption, use-case prioritization, pilots, governance, workforce planning, measurement, vendor partnerships, and executive reporting. Partners with Finance, HR, IT, senior leaders, and functional teams to translate AI opportunities into measurable productivity, quality, cost, capacity, and business-value improvements. Drives initiatives from strategy through implementation, adoption, scaling, and ongoing evaluation.

Leads product marketing strategy for Benchling’s biotech AI platform, defining positioning, messaging, go-to-market strategy, launches, and market narrative across product portfolios. Builds and coaches a high-performing product marketing team while remaining hands-on with writing, prototyping, customer research, sales enablement, and AI-driven workflows. Partners with Product, Sales, Strategy, Enablement, and Customer Experience to drive adoption, pipeline, revenue, roadmap alignment, and executive visibility.

Lead product strategy and execution for EliseAI’s Housing business, building AI-native workflows that automate property operations and improve resident experiences. Partner with customers and cross-functional teams to identify pain points, define requirements, prioritize roadmaps, launch features, and analyze product performance. The role requires strong product judgment, analytical thinking, ownership, and willingness to work in the office 4–5 days per week.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Own readiness and enablement programs for SDR teams, including onboarding, sales training, prospecting, qualification, product knowledge, tool adoption, AI workflows, and manager coaching. Facilitate workshops and role-plays, develop learning content and playbooks, partner with sales, marketing, operations, and systems teams, and measure impact through ramp time, conversion, pipeline, proficiency, and adoption metrics.

Lead Cloudflare’s customer storytelling and advocacy strategy across case studies, video, campaigns, executive content, and live events. Interview enterprise customers and executives, translate complex technologies for technical and business audiences, develop creative formats, manage production partners, and establish quality standards. Build AI-enabled workflows to scale story production and measure impact through reach, sales usage, pipeline influence, and advocate engagement.

Leads enterprise-wide omnichannel personalization strategy across websites, push notifications, and SMS. Owns the roadmap for AI/ML-driven personalization models, partners with data science and ML engineering teams, drives experimentation platforms, and delivers personalized customer experiences and measurable business outcomes. Provides transformational product leadership while balancing customer needs, business value, technology, risk, and cross-functional alignment.

Leads Navan’s IT SOX compliance program and risk-based technology audits, including scoping, control testing, deficiency remediation, audit reporting, and collaboration with internal and external stakeholders. The role serves as the technology SOX subject matter expert, supports system implementations, improves audit processes through automation and AI, and develops an AI systems audit methodology. It also requires executive communication, project leadership, control-owner training, and domestic and international travel.

Leads business development and strategy for future mobility partnerships, including autonomous vehicle, drone, robot, and eVTOL operators. Sources and negotiates partnerships, evaluates locations, manages diligence and commercial terms, leads site retrofit projects, and coordinates legal, operations, sales, finance, and property-owner stakeholders. The role supports partner marketing, operational transitions, performance tracking, data integrity, and strategic roadmap development while scaling partnership frameworks and long-term growth.

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, revenue growth, and repeatable upmarket sales motions. Partners cross-functionally with product, solutions engineering, legal, finance, marketing, partnerships, implementation, and customer success. Coaches enterprise account executives, manages strategic opportunities, improves deal quality, and uses market insight to influence product, pricing, and go-to-market strategy.

Build datasets, evaluations, and scalable data infrastructure to improve frontier AI models for biological and scientific applications. Analyze model failure modes, run experiments, translate scientific expertise into rigorous evaluation criteria, and collaborate with scientists and leading AI labs. The role combines software engineering, biology, and frontier AI in an evolving, highly collaborative environment.

Owns quality assurance for cryptocurrency and sanctions compliance programs, including sampling, decision reviews, metrics, risk reporting, corrective actions, and continuous improvement. Partners with BSA/CFT and Sanctions program owners and leadership to ensure compliance standards align with regulatory requirements and product growth. Requires deep AML, KYC, sanctions, and fintech compliance expertise, strong analytical and communication skills, executive influence, and AI fluency.

Leads operational due diligence workstreams for consumer markets transactions, evaluating operating models, performance, processes, risks, and value drivers. Manages project timelines, budgets, deliverables, and client relationships; analyzes financial statements, market trends, and scenarios; develops acquisition and integration insights; reviews team work; coaches junior staff; and applies digital and AI-enabled tools to improve diligence delivery.

Build and ship production backend services and AI-powered voice agent features. Own customer problems end to end, develop reusable agent modules, improve menu and catalog accuracy, contribute to model fine-tuning, run experiments, and integrate solutions into production. The role involves close customer collaboration, rapid experimentation, and working across Kotlin, Python, and TypeScript in an in-person San Francisco environment.

Set organization-wide AI architecture direction, establish evaluation and production-readiness practices, guide teams from prototypes to production, and build reusable patterns for reliable, secure, observable AI systems. Partner with product and engineering leaders to connect AI initiatives to measurable workflow outcomes. Prototype high-risk designs, review implementations, evaluate emerging models and agent frameworks, and advise on trade-offs among quality, autonomy, latency, cost, safety, and complexity.

Provides principal-level ServiceNow consulting, architecture, engineering, and delivery oversight for enterprise clients. Leads technical solution design, implementations, automation, cloud deployment, presales estimation, workshops, and client advisory activities. Establishes technical standards, mentors engineers and architects, supports governance and practice growth, and serves as an escalation point. The role also develops AI-enabled ServiceNow offerings and requires approximately 10% travel.