Top AI Jobs in San Francisco Bay Area, CA

Lead the vision, strategy, and roadmap for AI experiences across Atlassian’s core products. Partner with engineering, design, data science, platform, and product teams to deliver intuitive AI features, accelerate adoption, define success metrics, gather customer feedback, and iterate based on data. Serve as an AI product leader, mentor stakeholders, communicate with executives, and drive innovation across a global software portfolio.

Own Sonar’s revenue forecasting, annual and long-range planning, pricing analysis, and revenue strategy. Build driver-based models covering bookings, billings, revenue recognition, consumption-based models, and margin. Provide recommendations to executives, the Board, and investors; establish deal guardrails; and partner with finance, sales, pricing, and accounting teams. Lead AI-first automation for forecasting, variance analysis, anomaly detection, and deal analytics while improving data integrity and forecast accuracy.

Advise product, engineering, business, and senior leaders on technology, Internet, privacy, intellectual property, and product strategy matters. Draft and negotiate technology transactions, licensing agreements, marketplace arrangements, terms of service, policies, and disclosures. Support privacy-by-design reviews, data-flow assessments, marketing claims, promotions, patent strategy, trade-secret protection, and scalable legal processes. Translate complex legal risks into practical guidance and engage externally as a subject matter expert.

Leads a multidisciplinary data science and data engineering team supporting Finance. Sets strategy, prioritizes initiatives, guides analytical models and data architecture, advances AI and machine learning applications, improves data quality and reliability, establishes scalable operating processes, and communicates technical recommendations to Finance and executive stakeholders. The role also manages talent, oversees forecasting and decision-support outcomes, and drives measurable business impact.

Medical Director supporting oncology real-world evidence, precision medicine, and cancer genomics initiatives. Partners with biopharma clients and cross-functional teams to design and validate clinical-molecular datasets, support translational research and clinical development, scope custom data solutions, and apply evidence to rare tumors, biomarkers, external control arms, and trial planning. Also contributes to pre-sales, internal training, scientific studies, and conference presentations.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.

Own product strategy, roadmaps, and business outcomes for GitLab.com and GitLab Dedicated. Lead platform reliability, scalability, operability, customer isolation, monetization, automation, self-service, disaster recovery, and geographic redundancy. Balance customer needs with operating costs and gross margin while developing P&L ownership. This remote individual contributor role requires director-level product portfolio leadership, technical SaaS or cloud expertise, commercial judgment, and cross-functional influence.

Build and lead production machine learning and evaluation systems for Atlassian’s Rovo AI agents. Responsibilities include developing datasets, simulations, automated judges, experimentation platforms, and quality signals; advancing reasoning, planning, retrieval, memory, and tool use; identifying and correcting systemic failures; and balancing quality, safety, latency, reliability, and cost. The role requires hands-on technical leadership, cross-functional influence, architectural decision-making, mentorship, and delivery of measurable customer outcomes at scale.

Leads and executes risk-based IT, technology, and cybersecurity audits for a regulated financial institution. Responsibilities include risk assessment, audit scoping, control testing, reporting, remediation validation, application and infrastructure reviews, third-party technology assessments, audit planning, methodology improvement, and coaching. The role requires translating complex technical risks for varied audiences and applying data analytics and AI throughout the audit lifecycle.

Direct complex commercial negotiations for AI, SaaS, PaaS, and IaaS offerings. Build scalable go-to-market contract processes, templates, playbooks, risk frameworks, and AI-enabled workflows. Partner with Sales, Finance, Operations, and Product on contract lifecycle management, quote-to-cash processes, automation, and legal tooling. Support strategic initiatives and provide practical risk guidance to senior stakeholders.

Leads scientific strategy for pharmaceutical and biotechnology partnerships using real-world, clinical, molecular, imaging, and multimodal data. Designs and executes analyses, cohort feasibility assessments, study concepts, and proof-of-value work; reviews scientific deliverables; presents findings to research and clinical teams; and contributes to publications. Mentors scientists, develops scalable workflows, supports product roadmaps, builds executive relationships, and drives portfolio revenue while remaining hands-on with data and analysis.

Leads consumer payments strategy across debit, digital wallets, money movement, and emerging payments. Evaluates market trends, customer economics, competition, investments, partnerships, acquisitions, and build-or-buy opportunities. Develops strategic recommendations, business plans, financial analyses, and executive presentations while leading complex cross-functional initiatives. Collaborates with Product, Finance, Risk, Technology, Operations, and Strategy leaders to influence decisions, improve customer engagement, and strengthen competitive positioning.

Leads AI and automation product strategy for disability and absence claims operations. Responsibilities include prioritizing AI opportunities, owning roadmaps, designing human-in-the-loop workflows, defining safeguards and success metrics, partnering with engineering, coaching Product Owners, managing delivery increments, and communicating operational impact to senior leadership.

Own CodePath EDU end to end, developing the product roadmap through faculty and administrator research. Lead LMS integrations, ship AI-powered features, define adoption and retention metrics, improve design quality, and partner with higher education teams to expand institutional adoption. The role requires building and scaling products for professional users across startup and larger-company environments.

Generate sales pipeline through cold calling, email campaigns, LinkedIn outreach, lead research, qualification, and targeted messaging. Identify prospect needs, position solution value, schedule discovery calls, and transfer qualified opportunities to Account Executives. Track activities in Salesforce, build internal relationships, participate in onboarding and product education, and collaborate with fellow representatives to improve sales performance.

Owns strategic planning, governance, prioritization, risk management, and execution across a portfolio of Superintelligence Lab programs. The role establishes phase-gate standards, manages change, tracks portfolio health through dashboards and metrics, resolves blockers, advises cross-functional teams, and communicates progress to executives. It requires strong technical program management experience, Jira proficiency, Agile and SDLC knowledge, and the ability to apply AI technologies to improve business outcomes.

Develops and expands partnerships with pharmaceutical and biotechnology clients, supporting research, clinical, and commercial programs. Identifies prospects, conducts executive outreach, communicates product value, contributes to account strategy and revenue goals, supports contract negotiations, and coordinates cross-functional teams. Requires life sciences business development or sales experience, knowledge of real-world data and drug development, and approximately 20% domestic and international travel.

Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.

Own and grow complex strategic enterprise accounts in mobility and fleet technology. Build executive relationships, identify multi-year growth opportunities, lead sales cycles from discovery through close, and translate HERE’s location, data, and AI capabilities into customer business outcomes. The role requires coordinating internal teams, engaging technical and business leaders, and strengthening HERE’s Bay Area presence.

Analyze sales performance, forecasts, pipelines, and channels to identify efficiency and revenue-growth opportunities. Build Tableau and Salesforce dashboards, deliver insights to leadership, support sales experiments, optimize processes, administer CRM data, and manage incentive and awards reporting. Partner cross-functionally with Sales, Finance, Marketing, Technology, Analytics, and executive stakeholders while evaluating AI and other sales technology solutions.

Design, customize, test, and troubleshoot Guidewire applications supporting insurance policy, claims, and billing workflows. Develop AI-enabled solutions, integrations, and automation; translate client requirements into technical solutions; interpret system data; and contribute to digital transformation engagements. The role also involves managing workstreams, reviewing junior team members’ work, guiding technical problem solving, and building client relationships while supporting Guidewire platform modernization.

Manage post-sale customer success for Benchling’s life sciences SaaS platform. Analyze usage data, deployment health, and customer goals to drive adoption, value realization, retention, and AI utilization. Advise customers on Benchling and scientific workflows, lead executive business reviews, develop adoption campaigns, coordinate with Sales, Product, and Professional Services, and deliver customer journey and feedback initiatives. Requires 20–30% travel and hybrid on-site work three days per week.

Leads Xero’s global growth content organization and redesigns its content operating model for an AI-native future. Owns content strategy across the funnel, establishes test-and-learn practices, connects content performance to business outcomes, improves brand consistency and channel fit, and develops a high-performing global team. Partners across marketing, product, analytics, sales, communications, SEO, and regional teams within a complex global matrix.

Own and grow a portfolio of global consulting and professional services firms, driving expansion, cross-sell, pricing, renewals, and seven-figure growth. Build executive relationships, convert engagement-based usage into enterprise agreements, lead cross-functional account teams, negotiate complex global contracts, conduct executive business reviews, maintain accurate forecasts in Salesforce, and provide customer insights to product and pricing teams. Regular travel to customer sites and periodic travel to headquarters are required.

Own the full enterprise sales cycle for pharmaceutical and life sciences accounts, from prospecting and pipeline development through closing, expansion, and cross-sell. Build relationships with Market Research and Commercial Insights leaders, lead discovery and product demos, navigate complex pharma compliance and review processes, maintain Salesforce forecasts, and develop account plans across brands and therapeutic areas. Partner with Marketing, Product, Legal, Customer Success, and Research teams to drive adoption and establish Outset as a standard research platform.