Top AI Jobs in Los Angeles, CA

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 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.

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.

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.

Manages unit leaders overseeing Short Term Disability and absence claims teams. Establishes performance expectations, removes barriers, develops team capabilities, and drives customer service, expense management, claim accuracy, and operational efficiency. Uses performance data, claim reviews, call monitoring, automation, and AI strategies to address root causes and improve outcomes. Partners with internal and external customers, supports team accountability, and escalates issues with recommended solutions.

Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, pipeline management, and operational cadence across the customer lifecycle. Partners with executive leadership, Finance, Sales, Marketing, Product, and Customer teams to drive predictable growth, AI adoption, productivity, and transformation while building a high-performing Revenue Operations organization.

Own end-to-end sales operations workstreams supporting Enterprise Account Executives. Analyze sales data, build dashboards and KPIs, improve intake and pipeline processes, and recommend solutions that increase seller effectiveness, revenue, and profitability. Collaborate with Sales Operations, Deal Desk, Finance, Legal, Sales Strategy, and GTM Systems stakeholders. Use AI and automation to streamline workflows and present findings to senior leaders.

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 People Analytics enablement and BI strategy, overseeing semantic models, certified data products, metric governance, data foundations, advanced analytics enablement, demand prioritization, and adoption. Partners with People Analytics, IT, and HR Strategy teams to create trusted workforce data, reusable semantic assets, and decision-ready insights. Manages teams and operating models while driving data quality, governance, certification, self-service analytics, AI access, and scalable insight delivery across the enterprise.

Owns platform product operations for Billing, Org & Auth, and Security teams. The role identifies enterprise-readiness gaps, connects platform investments to ARR, analyzes structured and unstructured data, and builds internal data and AI products. Responsibilities include roadmap prioritization, revenue-impact analysis, repeatable workflows, executive recommendations, and end-to-end ownership of tools and projects. Candidates need 8+ years of relevant experience, strong analytical and product judgment, and a record of shipping useful solutions tied to business outcomes.

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.

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Lead and scale Customer Success for Webflow’s Source AI platform. Manage strategic enterprise accounts, drive renewals and expansion, guide AI agents from pilot to production, define customer outcomes and ROI, and build playbooks, health metrics, enablement, and AI-powered workflows. Hire and coach the growing team while partnering with Sales, Solutions Architects, and Forward Deployed Engineers to improve adoption, retention, and customer value.

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.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.