Top AI Jobs in San Francisco Bay Area, CA

Leads cybersecurity architecture strategy and solutions across cloud-based applications and technical domains. Analyzes risk, designs controls, evaluates emerging technologies, and drives automation. Develops security analytics dashboards, data models, pipelines, alerts, and executive reporting while ensuring data quality, traceability, resiliency, and auditability. Partners with vendors, technical teams, and senior business leaders to improve cybersecurity outcomes.

Provide full‑stack product legal counsel across the product lifecycle for cloud and AI products: assess privacy, security, IP, export and open‑source risks; draft and negotiate commercial and data protection agreements; support incident response and regulatory investigations; create scalable legal playbooks and tooling; advise on US/global privacy and emerging AI regulations.

Leads complex, cross-functional technology programs on the ServiceNow platform. Responsibilities include developing strategic plans, managing resources, budgets, timelines, risks, dependencies, and stakeholders; validating AI-assisted program outputs; driving process improvements; establishing governance and decision-making procedures; and delivering executive-ready roadmaps, reporting, and recommendations across global operations.

Leads consulting engagements focused on customer sales and service strategies, sales operations, customer engagement, and revenue growth. Analyzes client needs, guides teams through strategy implementation, identifies business transformation opportunities, promotes AI-enabled sales processes, manages stakeholder relationships, and coaches high-performing teams.

Lead strategic vision and end-to-end product design for Atlassian’s Rovo and AI experiences across Jira, Confluence, Bitbucket, and other products. Drive systems thinking, visual and interaction design, design reviews, design systems, cross-functional alignment, customer-value outcomes, success metrics, and design craft coaching. Partner with engineering, product, research, content, marketing, and analytics teams to improve AI and search experiences across the Atlassian portfolio.

Leads contract lifecycle management technology projects and client engagements, guiding strategic planning, system configuration, integrations, and AI-enabled contract solutions. Manages teams, coaches staff, develops client recommendations, builds consensus, and drives process optimization and innovation. The role also includes account management, stakeholder communication, governance, and ensuring project quality and client outcomes.

Provides consulting services for contract lifecycle management technology implementations. Analyzes client needs, configures and integrates business applications, develops strategic recommendations, trains clients, and supports software adoption. Guides teams through contract management technology deployments, optimizes processes, applies AI and digital strategies, manages client relationships, and contributes to project delivery and modernization initiatives.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

Leads and scales product marketing for a legal AI platform, owning positioning, narrative, launches, pricing, packaging, enablement, competitive strategy, customer research, market intelligence, and category leadership. Partners cross-functionally with Product, Sales, Customer Success, Finance, and Marketing to drive adoption, revenue, expansion, and win rates. Builds the product marketing team and operating systems while combining strategic leadership with hands-on execution.

Build an AI-powered marketing insight workflow using Rovo and Atlassian data. Responsibilities include developing agents to analyze OKRs, detect trends, draft executive summaries, flag low-performing results, generate leadership prompts, and create CMO pre-reads. The intern will establish human review and quality assurance processes, document reusable workflows, explore related automations, and measure time savings, adoption, and decision-making impact.

Build and evaluate applied machine learning and Generative AI solutions for product and business problems. Interns will contribute to models, agents, retrieval, experimentation, evaluation, and prototyping with mentorship from experienced engineers. Responsibilities include translating business needs into technical projects, analyzing errors and user feedback, measuring outcomes, and clearly documenting findings, trade-offs, limitations, and next steps.

Lead Cloudflare’s global Trust and Safety organization, overseeing investigators and engineers handling legal information requests, abuse reports, fraud, account security, and sensitive escalations. Develop scalable policies, automated systems, transparency reporting, and fair enforcement processes across global markets. Recruit and manage a 24/7 team, collaborate with Legal, Policy, Security, Product, Engineering, and executives, and represent Cloudflare with regulators, government officials, industry groups, customers, and the press.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, pipeline management, and operational cadence across the customer lifecycle. Partners with executive leadership, Finance, Sales, Marketing, Product, and Customer teams to drive predictable growth, AI adoption, productivity, and transformation while building a high-performing Revenue Operations organization.

Leads the Operations Strategy enablement roadmap and manages complex, cross-functional initiatives from business-case development through implementation, adoption, and measurable impact. Identifies scalable tools, technologies, automation, and operating practices across operational functions. Partners with Product, Technology, Analytics, Risk, Compliance, and Operations to define requirements, establish governance, manage dependencies, measure results, and provide recommendations to senior leadership.

Leads complex, cross-functional initiatives from strategy through execution, setting direction, sequencing work, resolving ambiguity, and making tradeoffs. Builds repeatable operating models, improves program management methods, coaches stakeholders, drives AI and automation adoption, and partners with Business Operations leadership on initiative health, reporting, and planning.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.

Leads Square’s US Business Development Representative organization through managers and frontline teams. Owns pipeline generation strategy, operating cadence, performance management, forecasting, capacity planning, outbound execution, and sales technology improvements. Coaches managers, develops BDR talent, hires and retains staff, and partners with Sales, Marketing, Revenue Operations, Enablement, Analytics, and Strategy to improve funnel conversion and revenue contribution. Uses data, automation, AI, and prospecting tools to improve productivity and scale successful programs.

Manage data center financial operations through budgeting, variance analysis, financial modeling, month-end close reporting, cost-saving initiatives, and strategic analysis. The role requires data warehousing and modeling expertise, hardware and asset-management understanding, process improvement, automation, and effective communication with leadership and cross-functional partners.

Leads strategic advisory and analytics initiatives for banking and capital markets clients. Designs and configures Fenergo solutions, translates business and regulatory requirements, develops data visualization and analytics solutions, and guides teams through complex projects. Builds stakeholder relationships, validates outcomes, promotes process improvement, and coaches diverse teams. Requires at least seven years of experience and a bachelor's degree.

Provides management consulting services focused on customer experience and business growth. Responsibilities include analyzing client needs, designing customer journey maps, developing customer-centric solutions, conducting journey and segmentation analysis, improving customer service processes, managing CRM data, and evaluating customer satisfaction KPIs. The role involves collaborating with teams and clients, gathering information, identifying patterns, and delivering strategic recommendations.

Leads customer analytics and strategy consulting initiatives that improve customer experiences, loyalty, and business growth. Responsibilities include analyzing customer touchpoints, designing journey maps, developing customer-centric solutions, overseeing multiple projects, managing executive client relationships, driving business development, mentoring leaders, promoting AI-human collaboration, and developing thought leadership across the PwC Network.

Principal Machine Learning Engineer responsible for setting technical direction and building production-grade AI systems for Confluence. The role spans model evaluation, retrieval, ranking, prompt and workflow design, experimentation, reliability, and customer-facing AI product development. Responsibilities include making architectural decisions, partnering across engineering and product teams, mentoring engineers, identifying model and product failure modes, and delivering scalable AI experiences across content creation, editing, discovery, recommendations, and multimodal interaction.