Artificial Intelligence Jobs in Sunnyvale, CA

Leads software product management across autonomy, simulation, platforms, cloud tools, and fleet operations. Builds and manages the product team, owns software vision and roadmap governance, defines commercial strategy, and oversees products from research through deployment and continuous improvement. Partners with engineering, AI, hardware, UX, safety, compliance, customers, and vendors on architecture, testing, release decisions, data strategy, lifecycle management, and build-versus-buy choices. Requires deep software product expertise, robotics or autonomous systems experience, cloud-to-edge knowledge, and extensive leadership experience.

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Leads Microsoft Dynamics 365 CRM and Copilot/AI functional workstreams for client engagements. Responsibilities include requirements analysis, CRM solution design, implementation management, integration planning, configuration, deployment, issue resolution, budgeting, risk tracking, user training, adoption support, and stakeholder management. The role also coaches team members, reviews deliverables, and identifies AI-enabled improvements to operational efficiency and client outcomes.

Lead client-facing Microsoft Dynamics 365 ERP and AI/Copilot solution architecture programs. Translate business requirements into functional designs, implementation plans, configurations, testing, training, and deployment activities. Direct complex workstreams, improve processes and controls, resolve risks, communicate recommendations to stakeholders, build client relationships, and coach consulting teams through ambiguity and change.

Conduct AI and machine learning research for next-generation wireless communication systems. Develop algorithms, build and evaluate models, run experiments, publish findings, and collaborate with research, development, and product teams to transition research into real-world technologies. The role also involves exploring emerging AI techniques, shaping technical direction, and contributing to Ericsson’s wireless technology strategy.

Leads financial statement audits and evaluates governance, risk management, regulatory compliance, and internal controls for digital asset and financial services clients. Directs complex audit engagements, applies advanced auditing and technical accounting expertise, identifies material misstatements, and issues auditor reports. The role also involves client relationship management, coaching and developing diverse teams, communicating findings, and maintaining professional, independence, and ethical standards.

Leads strategic pricing and monetization across Block’s sales-driven channels. Manages a team supporting complex enterprise deals, develops pricing and approval frameworks, and partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations. Uses automation, AI, and data to scale Deal Desk capabilities, improve commercial governance, analyze deal economics, and identify broader pricing, packaging, monetization, and portfolio opportunities.

Drives HR operational excellence through process redesign, SLA and KPI analysis, system and knowledge management, requirements gathering, UAT, governance, and continuous improvement. Partners with HR stakeholders to improve service delivery, employee experience, and operational scalability. Supports HR program rollouts, M&A integrations, global entity expansions, Workday data conversions, employee communications, and benefits transitions. Requires strong HR operations, analytics, transformation, stakeholder management, and AI experience.

Own GM Energy’s Salesforce CRM product portfolio, including strategy, vision, roadmap, delivery, integrations, AI capabilities, and end-to-end customer journey management. Lead Product Managers, align cross-functional stakeholders, prioritize investments, establish operating models, measure adoption and outcomes, and scale CRM across sales, marketing, operations, eCommerce, order management, service, and customer care.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Design and deploy AI systems and machine learning models, perform data wrangling and analysis, and integrate solutions into data infrastructure. Develop scalable AI applications, relational data systems, evaluation tools, automated tests, and monitoring capabilities. Assess AI behavior, robustness, bias, explainability, drift, hallucinations, and guardrails while evaluating technical controls and communicating findings to clients and stakeholders.

Develop and implement AI and machine learning solutions, including algorithms, data models, infrastructure, evaluation tools, automated tests, monitoring, and responsible AI controls. Lead testing for robustness, bias, drift, explainability, hallucinations, and failure modes. Manage client accounts and technical workstreams, review evidence and controls, communicate trade-offs, mentor teams, and maintain delivery and professional standards.

Develop and implement advanced machine learning algorithms and models for Atlassian products. Design system and model architectures, conduct experiments and evaluations, collaborate with product, engineering, and analytics teams, and mentor emerging machine learning engineers. The role also contributes to shared AI infrastructure and capabilities supporting search, knowledge discovery, and conversational experiences across the company.

Leads product strategy and a team of Product Managers for ServiceNow’s Unified Security and Exposure Management portfolio. Defines AI-native, enterprise-grade security products for CISO organizations, drives product vision and roadmaps, and collaborates with customers, architects, engineering, and cross-functional teams. The role requires deep cybersecurity expertise, experience scaling enterprise software products, strong technical depth, data-driven prioritization, and exceptional communication skills.

Build cloud-based AI and machine learning solutions for intelligent enterprise services. Collaborate with developers, product managers, product owners, and quality engineers to design, implement, test, and deliver scalable software. Apply AI/ML techniques, high-performance algorithms, object-oriented programming, modular design, unit testing, profiling, and code optimization to improve enterprise workflows and user experiences.

Establish the technical vision and architecture for Moveworks’ agentic AI harness. Develop algorithms for planning, tool use, memory, reflection, evaluation, and reliable task completion. Prototype and benchmark agent systems, connect AI with enterprise knowledge, permissions, and workflows, and guide promising approaches into production. Collaborate across research, infrastructure, product, search, relevance, and security teams while mentoring senior engineers and shaping technical strategy.

Build infrastructure and tooling for AI evaluation, including distributed execution, task-set validation, graders, human-review calibration, statistical reporting, online feedback loops, and offline-to-online analysis. Partner with product, engineering, data, and ML teams to create reliable evaluation workflows that support faster, statistically sound AI product decisions.

Manage an enterprise customer portfolio, advocating for customers and driving adoption, usage, technical health, and business outcomes from ServiceNow products. Provide prescriptive guidance, develop success plays and customer use cases, coordinate internal teams to resolve issues, oversee projects, and ensure customers maximize their ServiceNow investment. The role requires at least seven years of related experience, AI application experience, independent project leadership, analytical problem-solving, collaboration, and ServiceNow certifications.

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.

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.

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.

Leads product strategy and roadmap execution for autonomous campus networking solutions spanning wired, wireless, security, cloud-managed, and data center environments. Translates customer challenges and operational data into AI-powered product capabilities, partners with engineering and architecture teams, develops business cases and go-to-market strategies, and drives innovation through prototypes, experimentation, automation, and analytics. Represents the company with customers, partners, executives, and industry stakeholders.