Top AI Jobs in Los Angeles, CA

Build scalable, privacy-safe advertising signals and measurement systems for Snap’s ad platform. Lead end-to-end software and infrastructure initiatives involving signal ingestion, identity matching, data pipelines, measurement, and advertiser ROI analysis. Provide technical direction across teams, optimize availability, scalability, performance, security, and cost, and collaborate with product, machine learning, and advertising partners. Mentor engineers and apply modern AI-assisted development practices while delivering reliable production services.

Drive new-business sales for ServiceNow’s OT and cyber-physical systems portfolio across state and local government accounts in the US West. Responsibilities include territory and account planning, prospecting, relationship development with cybersecurity and operations leaders, coordinating virtual sales teams and partners, advising customers on OT risk and regulatory needs, and negotiating deals. The role requires government sales experience, cybersecurity or OT/ICS solution-selling expertise, strong executive relationships, and a record of exceeding sales targets.

Leads enterprise architecture and solution design for strategic customer accounts across cloud, networking, compute, storage, AI, virtualization, and managed services. Develops proposals, value propositions, demonstrations, proofs of concept, and scalable technical designs. Partners with sales and account teams to drive pipeline growth, customer relationships, forecasting, and deal closure. Provides technical strategy, competitive analysis, account planning, partner coordination, and executive-level presentations.

Leads and mentors a product engineering organization, setting technical vision, strategy, roadmaps, and measurable goals. Partners with Product, Design, Data Science, Operations, and Engineering teams to deliver scalable, reliable, secure, privacy-conscious products. Oversees distributed systems and product experiences, drives execution across strategic initiatives, develops engineering talent, hires leaders, and communicates priorities and risks to senior stakeholders.

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 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.

Leads machine learning and software engineering teams building models, agentic systems, data pipelines, and ML infrastructure for advertising integrity and recommendations. Owns technical strategy, roadmap, model quality, reliability, privacy, and responsible AI. Partners cross-functionally to deliver measurable outcomes, scales LLM-powered ad review, contributes technically, and hires and mentors high-performing engineers.

Leads 6–8 enterprise Account Executives across the Western U.S., owning bookings, forecasting, pipeline coverage, strategic deals, hiring, coaching, and team development. The role requires direct involvement in major enterprise sales opportunities, cross-functional collaboration, executive engagement, and adoption of MEDDPICC, Salesforce, Gong, Clari, and AI-enabled workflows. Travel is required for customer meetings, executive briefings, partner work, and industry events.

Leads consulting engagements focused on product development and manufacturing transformation. Diagnoses lifecycle bottlenecks, improves cost, quality, speed to market, lean processes, supply chain integration, and digital operations. Manages client workstreams, teams, budgets, deliverables, and risks while coaching junior staff. Develops client recommendations involving product strategy, roadmaps, positioning, and go-to-market planning, and applies analytics, AI, and emerging technologies to improve operational performance.

Supports operations consulting engagements focused on product development and manufacturing excellence. Analyzes workflows, identifies bottlenecks, develops strategy and transformation deliverables, documents operating models, interprets operational data, and supports lean manufacturing and supply chain integration. Builds client relationships, coordinates workstreams, guides junior team members, and applies product lifecycle management, AI fluency, and process improvement methods to improve speed to market, cost performance, and product quality.

Leads Dragos Public Sector’s post-sales technical team, mentoring subject matter experts and driving customer adoption, operationalization, and measurable platform value. The role manages customer escalations, stakeholder relationships, product feedback, roadmap advocacy, team processes, performance metrics, and AI-enabled improvements. It requires industrial cybersecurity expertise, SIEM experience, advanced network traffic analysis, U.S. citizenship, and willingness to travel up to 25%.

Supports AI engineering initiatives at Vantor, contributing to spatial intelligence solutions and helping develop technologies that enable customers to understand current and future conditions. The posting provides limited role-specific responsibilities but emphasizes problem-solving, innovation, collaboration, and mission-focused work. Applicants must qualify as a U.S. Person under applicable export control and ITAR requirements.

Provide personalized customer support by phone, text, email, and social media. Guide business owners through payroll account setup, resolve escalated issues, and build strong customer relationships. Use AI to create support macros, Help Center content, and workflows, while improving processes and supporting customer acquisition, satisfaction, and retention goals.

Own the strategy and roadmap for fraud risk case resolution, including AI-assisted review, automation, self-service, and case management. Partner with Risk Operations, Engineering, Data Science, Analytics, and Compliance to define scalable workflows, requirements, metrics, auditability, and resolution paths. Use operational data to improve automation, decision quality, workload reduction, customer self-service, and cost while supporting regulated risk processes such as anti-money laundering and Responsible Gaming.

Drives strategy, design, implementation, and ongoing improvement of HRIS solutions supporting claims data and employee processes. Partners with business, technology, operations, HR, and customer stakeholders; analyzes and reconciles data; troubleshoots system issues; prepares reports; supports customer implementations; manages communications; trains new analysts; and uses AI to identify business trends.

Improves Global Talent processes, governance, onboarding, localization and translation workflows, information management, and technology-enabled solutions. Analyzes workflows, documents standards, coordinates stakeholders and vendors, monitors adoption and effectiveness, and leads moderate-scope improvements. The role also identifies opportunities for responsible AI and automation while maintaining appropriate human oversight, privacy, security, quality, and compliance.

Leads multiple global travel support teams operating 24/7. Responsibilities include developing standardized processes, improving operational scale, managing escalations, monitoring service levels and customer satisfaction, conducting root-cause analysis, coaching managers, supporting hiring and training, and reporting performance. The role requires contact-center leadership, travel industry systems experience, customer-service expertise, analytical problem solving, and flexibility for nontraditional shifts and potential weekend on-call coverage.

Lead GC AI’s global Customer Success and Support organization through rapid growth. Own post-sale strategy, team structure, staffing, compensation, support operations, customer tiering, onboarding, renewals, expansion, retention, escalations, advisory programs, and customer feedback loops. Build dashboards and health scores, partner with Sales on revenue retention, and collaborate with Product and Engineering to convert customer insights into roadmap priorities.

Serve as the primary legal partner to Procurement, drafting and negotiating high-value buy-side agreements across SaaS, software, marketing, facilities, professional services, and real estate. Provide guidance on complex transactions, risk allocation, data privacy, technology contracting, and vendor risk. Develop scalable contracting processes, playbooks, templates, training, and knowledge resources while leveraging automation and legal technology. Collaborate with cross-functional stakeholders and support broader Legal team initiatives.

Own full-cycle recruiting for technical and G&A roles across Engineering, Product, Data, Finance, Legal, Operations, and other corporate functions. Partner with hiring managers and senior leaders on search strategy, sourcing, candidate evaluation, interview processes, offers, and closing. Build passive-talent pipelines, manage multiple requisitions, deliver strong candidate experiences, maintain Greenhouse data quality, and use recruiting analytics and market intelligence to improve hiring decisions and processes.

Leads a team of 6–9 Strategic Customer Success Managers serving complex enterprise accounts. Owns retention, renewals, upsell and cross-sell targets, account strategy, success planning, forecasting, customer health, executive business reviews, and escalations. Develops customer success playbooks, advocates for client needs internally, builds executive relationships, and partners with Sales, Product, and Marketing to improve outcomes. Also oversees recruiting, career development, team performance, and change management.

Owns the operating model for the Office of the CISO, including planning cadences, governance, executive reporting, metrics, stakeholder forums, budgeting, and tool governance. Prepares leadership and Board-level communications, facilitates cross-functional alignment, manages Office of the CIO deliverables, and oversees the Crowd for Crowd program. The role also drives AI-enabled workflows, reporting standards, process improvements, and program adoption across cybersecurity 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.