Top AI Jobs in Los Angeles, CA

Reviews abuse and safety reports, conducts complex investigations, applies policies, identifies emerging risks, and escalates issues. Partners with Legal, Policy, Engineering, vendors, and law enforcement; provides training and feedback; supports policy development; manages data and drives workflow improvements. The role requires handling disturbing content and working a full-time weekend shift, including holidays as needed.

Leads financial statement audits for digital assets and financial services clients, evaluating regulatory compliance, governance, risk management, and internal controls. Applies advanced auditing and technical accounting expertise to identify material misstatements and issue audit reports. Directs complex engagements, coaches diverse teams, manages client relationships, communicates findings, and reinforces professional, independence, and ethical standards. The role also involves data analysis and exploring AI and machine learning platforms to improve processes.

Own Snapchat’s Search Platform strategy, roadmap, and end-to-end product development across search, discovery, recommendations, navigation, trending content, commerce, and system integrations. Define goals and success metrics, improve query understanding and ranking, and collaborate with Engineering, Design, Data Science, Legal, Policy, Ads, and Commerce teams to deliver and measure impactful experiences.

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.

Leads Boeing’s Space Systems Verification and Test capability across multiple sites. Responsibilities include capability strategy, laboratory test operations, asset and capacity management, test approaches using Model Based Engineering and systems engineering, cross-enterprise issue resolution, stakeholder partnerships, quality and safety culture, and employee engagement. Requires significant engineering or test leadership experience, with satellite, space hardware, laboratory operations, and security clearance experience preferred.

Leads client-facing AI engineering and intelligent automation engagements for health services clients. Manages project planning, budgets, timelines, deliverables, and risks while guiding teams developing machine learning models, algorithms, and cognitive solutions. Reviews Python code and data analysis, validates model performance, coaches team members, identifies automation opportunities, and translates business needs into technical solutions. Promotes responsible AI practices and supports stakeholder collaboration across multiple client workstreams.

Supports payer operations modernization and transformation initiatives for health services clients. Analyzes operational challenges, performance metrics, and business data; develops process improvement deliverables and operating model recommendations; coordinates project workstreams; manages timelines and issue logs; presents client recommendations; and mentors junior team members. The role applies consulting methods, digital tooling, AI collaboration, and analytical thinking to improve workflows and service delivery.

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.

Leads frontier research and engineering for AI-powered cybersecurity systems. Defines research direction, designs agentic and autonomous security applications, builds evaluation environments, improves systems through feedback and adversarial simulation, and transitions prototypes into scalable production capabilities. Provides technical leadership across teams, mentors senior researchers and engineers, and contributes to research publications, open source, and the broader AI and cybersecurity communities.

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.

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.

The Corporate Sales Engineer supports pre-sales activities for CrowdStrike’s endpoint security platform. Responsibilities include partnering with Account Executives, demonstrating solutions, conducting proof-of-value engagements, explaining security concepts to technical and executive audiences, and serving as a technical bridge between prospects and internal teams. The role requires knowledge of endpoint security, operating systems, cloud platforms, Active Directory, malware analysis, scripting, virtualization, and customer-facing presentations. It is fully remote for U.S.-based employees with minimal travel.

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 technology strategy and pre-sales services engagement for executive clients. Advises on cloud, AI/ML, automation, security, infrastructure, DevOps, and SaaS transformation; develops technology roadmaps, reusable intellectual property, thought leadership, and financial impact models. Oversees architectural alignment across multi-practice solutions, facilitates executive workshops, identifies emerging technology opportunities, and coordinates solution scaling with sales, engineering, delivery, and research teams.

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.

Manage customer renewals, retention, and account expansion across direct and channel relationships. Lead customer review calls, assess usage and churn risk, prepare renewal quotes, process orders, maintain CRM records, collaborate with distributors and resellers, and meet sales quotas. The role requires technology inside sales experience, strong communication, CRM proficiency, organization, and a self-motivated, customer-focused approach.

Deliver strategic technical guidance for Atlassian customers, create solution content and prescriptive guidance, align product capabilities with business outcomes, showcase customer successes, expand technology use cases, and advocate for customer needs across Atlassian.

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.

Lead clinical product strategy for a digital mental healthcare platform. Embed behavioral health expertise into product design, AI governance, patient safety, clinical quality, and measurable outcomes. Translate clinical workflows into product requirements, guide safe AI-enabled features, monitor provider and patient outcomes, and align product, design, data, and engineering teams. The role requires a licensed psychiatrist or psychologist with substantial clinical experience and prior collaboration with product and engineering teams.

Leads Monte Carlo’s Enterprise Americas sales team, overseeing forecasts, pipeline coverage, new-logo bookings, outbound prospecting, deal inspection, and enterprise sales coaching. The role requires developing a repeatable sales process, coaching reps through complex executive-level deals, recruiting enterprise account executives, and partnering with sales engineering, SDR, marketing, and customer success teams. Candidates should have prior enterprise SaaS sales leadership experience and expertise in disciplined methodologies such as MEDDPICC and value-based selling.

Manage DraftKings Rewards loyalty program operations by monitoring KPIs, analyzing player behavior and program economics, validating data, and recommending improvements. Coordinate testing, launches, and issue resolution for program enhancements while partnering with Analytics, Finance, and Loyalty Operations. Build data-backed business cases, improve reporting and workflows through AI and automation, and communicate recommendations to leadership.

Leads internal communications for a rapidly scaling, distributed technology company. Builds communication systems, channels, and cadences; partners with executives on employee messaging; translates complex business and technical information; supports culture, employee experience, company narrative, and major company moments; and uses data and AI to improve communication effectiveness.

Manage and mentor Product Managers while guiding product strategy, prioritization, roadmap execution, and lifecycle management for Rapid7’s cybersecurity platform. Partner with Product, Engineering, UX, executives, customers, and cloud ecosystem partners to define requirements, launch features, analyze usage and feedback, and drive market impact. The role also promotes AI-enabled product management practices, customer-centric decision-making, cross-functional alignment, and development of high-performing global teams.