Top AI Jobs in Los Angeles, CA

Leads strategy and operations for the partnerships organization, partnering with business development, partner success, finance, systems, and enablement. Owns segmentation, planning, metrics, pipeline reviews, partner economics, deal desk, and operating cadence. Develops AI strategy and productivity improvements across forecasting, partner scoring, and field insights. Builds analyses directly, influences senior revenue leaders, and hires and manages a team of analysts and operations partners.

Leads payer onboarding, transitions, ongoing payer operations, licensing, credentialing, audits, site inspections, and regulatory compliance for Babylist Health. Builds scalable processes, monitors payer performance, manages commercial and Medicaid operations, program-manages new business launches, and partners with billing, legal, product, contracting, and customer support. Manages and develops two direct reports while establishing the operational foundation for expanding clinical services.

Advise cross-functional teams on legal and regulatory matters, including privacy, AI, disputes, and operational risk. Draft, review, and negotiate technology, vendor, professional services, and strategic partnership agreements. Partner with legal operations to improve workflows, automate processes, and create scalable guidance. Collaborate with finance, technology, and operations teams on third-party risk and regulatory compliance while providing practical, business-oriented counsel to senior leaders.

Own the vision, roadmap, and delivery of internal SOC tooling, including analyst UX, response workflows, investigation models, and automation. Partner with SOC leadership, engineering, design, and product teams to transform manual processes into scalable workflows. Define requirements, interfaces, operational metrics, and investment cases while improving analyst throughput, time-to-close, and delivery repeatability. The role requires deep SOC operations knowledge, cybersecurity product management experience, and expertise building operator-facing platforms and AI-enabled products.

Leads Engineering Operations by building the operating system connecting Product, Engineering, and Data strategy to measurable outcomes. Owns executive reporting, KPI and OKR definition, portfolio planning, software delivery reviews, capacity and headcount planning, risk and dependency tracking, and cross-functional decision-making. Partners with senior leaders across technology and business functions to improve delivery predictability, accountability, resource allocation, and organizational effectiveness.

Leads GitLab’s Agentic Software Delivery product section across continuous integration, artifact management, continuous deployment, and observability. Owns three-year strategy, product vision, business outcomes, adoption, retention, revenue, investment decisions, pricing, packaging, and go-to-market execution. Manages senior and principal product managers, partners with Engineering and commercial teams, and guides customers toward AI-powered software delivery. Requires strong technical fluency in DevOps, executive communication, portfolio leadership, and experience with AI-native product management.

Product Counsel will advise product, engineering, data science, marketing, compliance, and sales teams throughout the product lifecycle. Responsibilities include counseling on regulatory compliance, privacy, intellectual property, consumer protection, AI and machine learning, data rights, platform architecture, APIs, identity and account security, and marketing. The role translates legal requirements into technical guidance, supports AI governance, monitors evolving laws, and develops scalable legal processes for a fast-paced technology company.

Drives enterprise sales growth for GitLab across the Northeast by managing strategic accounts, developing account plans, generating pipeline, and leading complex B2B software sales cycles. Builds C-level relationships, coordinates solutions architects and partners, guides customers through evaluation to implementation, expands platform adoption, forecasts opportunities, analyzes wins and losses, and presents business value. The role is fully remote and focused on AI-powered DevSecOps solutions.

The Sales Development Representative conducts outbound prospecting to internal IT departments and channel partners through phone, email, and LinkedIn. Responsibilities include building pipelines, qualifying prospects, setting product demos, supporting Account Executives, meeting sales quotas, maintaining accurate Salesforce records, and learning cybersecurity solutions. The role also involves exploring AI tools for prospect research, prioritization, outreach preparation, and follow-up in a remote environment.

Build and operate secure, scalable AI infrastructure and cloud-native platforms across on-premises and cloud environments. Develop AI agents, MCP servers, microservices, automation, and Kubernetes-based workloads. Establish governance, security, observability, and operational standards for AI systems. Monitor infrastructure, troubleshoot production issues, improve processes, document runbooks, and support platform reliability while collaborating with artists, production teams, and engineers.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Own CX operations roadmap initiatives from concept through delivery, identifying opportunities for automation and AI. Build and optimize Salesforce and Intercom workflows, integrations, reports, dashboards, surveys, and routing logic. Partner with Engineering, Business Systems, BI, Sales, Finance, Marketing, and Enablement to deliver cross-functional solutions, drive adoption, and manage change. Analyze CX metrics including NPS, CSAT, retention, support, and success data to provide leadership recommendations while tracking risks, dependencies, and initiative progress.

Own the full B2B software sales cycle, including prospecting, discovery, demos, business cases, negotiation, closing, and account expansion. Build pipeline through outbound, referrals, partners, conferences, and relationships. Sell to owners, executives, and operators by demonstrating measurable ROI. Collaborate with the CEO on deals and territory strategy, work with engineering on customer feedback, and operate independently while helping improve the sales organization.

Leads a technical presales team supporting security, business applications, and employee/customer experience opportunities. Responsibilities include coaching and mentoring, managing performance and coverage, partnering with Sales and Services on solution strategies, reviewing proposals and demonstrations, monitoring pipeline KPIs, improving presales processes, supporting go-to-market initiatives, and advancing team capabilities in security, cloud, data, AI, and software engineering.

Leads technical customer engagements for strategic enterprise accounts, combining solution engineering, software implementation, consulting, and sales support. Responsibilities include discovering requirements, designing and documenting SailPoint solutions, conducting foundational implementations and proof-of-value engagements, educating customers on architecture and best practices, and developing AI-enabled demonstrations and agentic solutions. The role collaborates across sales, product, professional services, partners, and customer success, and may require up to 15% travel.

Design and deliver end-to-end AI/ML solutions for Oncology R&D, working with multimodal datasets. Partner with scientists and product leaders to prototype, iterate, and deploy decision-relevant models, document methods for transparency, and ensure solutions are scientifically grounded and usable.

Leads strategic workforce management for Customer Experience operations, including AI-informed capacity planning, forecasting, scenario modeling, staffing plans, cost modeling, and automation productivity analysis. Partners with Finance, Product, Legal, Compliance, and senior leadership to align workforce priorities, regulatory readiness, and resourcing decisions. Drives strategic initiatives from business case development through execution and serves as a workforce planning center of excellence.

Leads enterprise sales and strategic customer relationships across utilities, power distribution, infrastructure, and data centers. Develops new business, manages pipelines, leads proposals and onboarding, and partners with operations, product, marketing, and leadership teams. Advises customers on workforce, contractor, outage, maintenance, and project needs while shaping go-to-market strategies and scalable sector processes. Mentors account team members and provides market insights to improve offerings and growth.

Leads enterprise consumer insights and analytics, shaping growth strategy, innovation, portfolio investments, category expansion, and M&A. Advises the CEO and executive leadership using consumer, marketplace, competitive, behavioral, transactional, and financial intelligence. Oversees syndicated data ecosystems, predictive analytics, brand health tracking, market sizing, forecasting, and consumer research. Builds integrated decision systems, embeds consumer-centricity across the organization, and develops a high-performing insights team.

Leads the origination, shaping, pursuit, negotiation, and closing of large technology consulting and managed-services deals. Builds relationships with senior client decision-makers, develops pursuit strategies and messaging, creates solutions to complex technology challenges, and directs sales activities across large teams. The role focuses on selling services to Microsoft and other enterprise clients, driving profitable growth, and managing opportunities from qualification through close. Travel may range from 25% to 100% based on client and business needs.

Qualify and prioritize inbound and outbound mid-market sales opportunities for Accenture’s Coupa-enabled Source-to-Pay solutions. Build relationships with business decision-makers, uncover client needs, communicate solution value, maintain accurate CRM records, and develop qualified opportunity pipelines in partnership with sales executives and engineers.

Own the end-to-end finance data strategy for Oracle EPM and cloud data platforms. Define data rules, governance, quality, reconciliation, access controls, and AI-ready data structures. Lead issue resolution during go-live, coordinate with Enterprise Technology and implementation partners, and communicate risks and readiness to finance and technology leadership.

Lead the full enterprise sales cycle for Regard’s healthcare technology with major U.S. health systems. Manage strategic accounts, conduct consultative discovery, develop tailored business cases, build consensus among clinical and financial executives, and drive proposals through contracting. Own revenue generation, executive selling, buyer journey advancement, and long-term provider relationships while collaborating with Marketing, Product, and Sales leadership. The role requires 30% travel and experience selling software to large health systems.

Advise clients on creating and capturing value from AI and data. Define enterprise and function-specific strategies, assess maturity, develop AI platform blueprints, operating models, business cases, investment roadmaps, and Responsible AI plans. Lead large-scale transformation workstreams, engage senior stakeholders, identify people, process, and technology needs, and create AI-first product commercialization opportunities. Support deal origination, go-to-market activities, and team leadership.

Leads and develops a team of autonomy engineers building multi-agent resource allocation, planning, coordination, and edge AI systems for spacecraft. Provides technical oversight on optimization, reinforcement learning, validation, architecture, and constrained real-time deployment. Owns team roadmaps, delivery, cross-functional dependencies, process improvement, and stakeholder communication while managing hiring, performance, career development, and team culture. The role bridges autonomy expertise with spacecraft constraints including compute, latency, power, and communication limitations.