Top AI Jobs in San Francisco Bay Area, CA

Advise strategic technology and non-bank financial institution clients on payments, treasury, liquidity, and working capital transformation. Lead market analysis, benchmarking, solution design, opportunity origination, deal strategy, thought leadership, sales campaigns, and executive presentations. Partner with banking, sales, and product teams to shape client solutions, product priorities, reusable playbooks, and go-to-market execution while ensuring compliance and risk management.

Lead enterprise new-business acquisition for managed cloud and advisory services. Responsibilities include self-sourcing pipeline, managing complex multi-stakeholder sales cycles, meeting recurring-revenue quotas, developing territory strategy, selling VMware, AWS, Azure, and other cloud solutions, influencing partner ecosystems, building executive-level business cases, and coordinating cross-functional teams through close and onboarding.

Develops end-to-end AI features for Atlassian’s developer AI products, including LLM integration, prompt engineering, machine learning algorithms, data preprocessing, feature engineering, experimentation, evaluation, pipeline optimization, and monitoring. Collaborates with data scientists, software engineers, and partner teams to solve complex problems and apply advances in AI and machine learning.

Leads Qualtrics’ North America enterprise Solution Consulting team serving hospitality, travel, restaurants, retail, sports, media, and entertainment. Responsibilities include hiring, coaching, and developing consultants; partnering with Sales on account alignment, deal strategy, and executive relationships; influencing technical and business decisions; developing industry and AI strategy; and sharing customer insights with Product and market-facing teams.

Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive product adoption, resolve issues, provide training and demonstrations, conduct business reviews, and advocate for customer needs internally. The role requires strategic account ownership, strong communication, retention planning, value-based selling, and experience supporting mid-market and enterprise customers.

Engage law firms and in-house legal teams as a trusted advisor for Ivo’s AI contract solutions. Lead tailored product demonstrations, sales and onboarding calls, webinars, and events; guide customer implementation and workflow adoption; create contract playbooks; collaborate with engineering and design to improve product outputs and user experience; and synthesize customer feedback to inform sales and product strategy.

Own enterprise pipeline generation and end-to-end sales processes across strategic Fortune 500 accounts. Lead complex proof-of-concept deals with approximately eight-month sales cycles, coordinate cross-functional deal teams, attend events, and shape customer perspectives on legal and compliance priorities.

Serve as the technical and strategic bridge between Ivo’s AI contract platform and enterprise legal teams. Lead customized product demonstrations, competitive evaluations, discovery, proof-of-concept configuration, RFP responses, security questionnaires, and technical diligence. Translate contract workflows and business needs into tailored solutions, while collaborating with Sales, Customer Success, Legal Engineering, and Product to share market insights and influence the roadmap. Build enablement materials and best practices in a fast-paced startup environment.

Develop and execute go-to-market strategies for AI contract review and intelligence products. Own product messaging, positioning, narratives, competitive analysis, win-loss programs, customer research, sales enablement, and vertical use-case materials. Partner with Sales, Product, Customer Success, Enablement, and Marketing to drive product adoption, customer engagement, and growth while feeding market and customer insights into product and positioning decisions.

Build and lead Ivo’s partner management function across channel, referral, reseller, integration, advisory, and trusted advisor partnerships. Develop scalable programs, incentives, enablement, attribution, and performance metrics that generate pipeline, adoption, and ARR. Collaborate with Sales, Marketing, RevOps, Product, and Engineering; recruit and coach Partner Managers; demonstrate products; manage executive relationships; and provide market intelligence to guide product and go-to-market strategy.

Own renewals and expansion across a mid-market customer portfolio. Identify and qualify growth opportunities, build relationships with users and budget owners, develop business cases, negotiate contracts, and manage procurement, legal review, forecasting, and closing. Partner with CSMs, Solutions Architects, and Legal Engineers while maintaining commercial accountability and sharing customer feedback with Product. The role requires managing a high-volume book and traveling up to 50%.

Lead teams building Samsara Assistant, Agent Studio, and agent extensibility. Own product growth, activation, answer quality, trust, repeat usage, and proactive agent capabilities. Set technical direction for an AI platform used by customers and internal product teams, partner across Safety and Maintenance, and lead approximately 10 machine learning, applied science, and full-stack engineers through two tech leads. Hire, develop, and manage a high-performing engineering organization.

Design and implement Pega-based integration solutions and platform architectures for clients. Lead cloud and network architecture projects, analyze system interactions, manage project planning and execution, and ensure data integrity, security, and compliance. Manage client relationships, coach and mentor team members, resolve issues, and promote innovative technology practices across platform engineering teams.

Lead strategic procurement for software, SaaS, cloud, and professional services suppliers. Partner with executives and cross-functional teams on vendor strategy, renewals, supplier performance, risk mitigation, and high-value contract negotiations. Optimize procure-to-pay and source-to-contract workflows using AI, automation, analytics, Coupa, and CLM tools. Develop category strategies, negotiate commercial terms, and support procurement process and system improvements as an independent contributor.

Lead and develop a team of Technical Account Managers delivering post-sale guidance to cybersecurity partners. Establish standards for deployment, adoption, partner health, retention, and expansion; coach team members; coordinate with Sales, Support, Product, and Marketing; resolve technical and account issues; communicate with technical and executive audiences; and build AI-enabled workflows for account reviews, coaching, prioritization, and customer communication.

Serve as an embedded security partner to business, product, data, and technology teams. Assess architectures, conduct threat reviews, develop secure-by-design patterns, guide SaaS and vendor selection, and translate security requirements into practical controls. Support identity, infrastructure, AI workflows, data strategy, M&A integrations, and automated guardrails while enabling teams through training and collaboration.

Leads revenue and go-to-market strategy across segmentation, sales coverage, monetization, market expansion, pricing, packaging, and investment priorities. Builds models, analyses, and decision memos; advises senior Sales, Finance, and Product leaders; translates customer and field insights into product and commercial recommendations; and partners with Field Operations and Enablement to execute multi-quarter changes.

Lead product strategy, roadmap, and execution for Zscaler’s threat detection and response offerings within its Agentic SOC and MDR business. Translate threat intelligence and customer needs into innovative security products, coordinate engineering and go-to-market teams, and measure product impact. The role owns commercialization, technical direction, product quality, and business outcomes while requiring deep cybersecurity expertise and experience with enterprise security products.

Leads Motive’s competitive intelligence program, translating market and competitor insights into sales plays, battlecards, enablement, product feedback, and customer-facing content. The role researches competitors, analyzes win/loss and CRM data, uses AI for research automation, trains sales teams, supports strategic deals, and measures program impact on win rates and pipeline. It requires extensive product marketing or competitive intelligence experience in B2B technology or SaaS, with cross-functional influence and senior leadership communication skills.

Leads strategy, roadmap, investment, and execution for horizontal AI capabilities, shared AI platforms, and AI-native cybersecurity products. Translates AI research into reliable, secure, scalable customer solutions; drives adoption across product teams; establishes launch and autonomy criteria; partners with customers and cross-functional leaders on commercialization; and builds a high-performing AI product organization.

Leads complex, cross-functional technical programs for the Superintelligence Lab. Responsibilities include roadmap execution, milestone and dependency management, risk mitigation, issue resolution, stakeholder alignment, leadership reporting, and implementing program-management best practices. The role requires collaboration with engineering, data science, and leadership teams while using AI technologies and Jira to improve workflows, decision-making, and business outcomes.

Leads information security strategy and execution for the Federal Reserve System’s District IT and Corporate Services portfolio. Advises senior technology and business leaders, manages cybersecurity risk and tolerance, develops resilient security practices, and partners across a matrixed organization to deliver secure technology services. Builds high-performing, AI-savvy teams, drives change and innovation, manages stakeholders and external partners, and aligns security initiatives with business objectives and system standards.

Leads information security strategy and execution for the Federal Reserve’s Central Bank Services portfolio, including Markets, Credit Risk Management, and Reserves. Advises senior business and technology leaders, manages cybersecurity risk and resilience, partners across a matrixed organization, develops security strategies, builds AI-savvy teams, drives change and innovation, and ensures secure, reliable technology delivery aligned with business objectives and System standards.

Leads client portfolios using ZAIDYN data management and analytics solutions for emerging pharmaceutical companies. Responsibilities include business development, solution design, technology implementation, project and staffing management, client presentations, global team leadership, technical escalation, and mentoring. The role oversees scalable deployments involving analytics, AI, cloud, big data, BI, data governance, integration, and master data management.

Own the strategy, roadmap, and lifecycle of an AI product area serving investors and bankers. Conduct customer research, define workflows and requirements, prototype solutions, evaluate AI outputs, and partner with engineering, design, research, sales, and customer teams. Drive launches, adoption, product quality, and measurable business impact while balancing usability, accuracy, reliability, security, latency, cost, and commercial opportunity.