Top AI Jobs in Los Angeles, CA

Lead Circle’s Global Risk Management AI transformation by redesigning processes around intelligent agents, building reusable AI capabilities, applying responsible AI controls, and driving initiatives from vision through delivery and adoption. Partner with risk, compliance, engineering, and enterprise AI teams; manage roadmaps, dependencies, reporting, executive updates, and measurable outcomes while ensuring AI solutions remain safe, explainable, auditable, and human-supervised.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

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.

Deliver strategic cybersecurity advisory engagements, assess and develop security and incident response programs, create exercise scenarios, and present reports and recommendations to customer management. The consultant also contributes to cybersecurity trend analysis, thought leadership, methodology development, and internal programs. Responsibilities require independent strategic analysis, strong communication, management of multiple projects, customer relationship skills, and use of AI technologies to improve decisions and workflows. Travel to client sites may reach 30%.

Manage delivery of a portfolio of AI and data science projects from planning through implementation. Coordinate technical and non-technical teams, dependencies, requirements, budgets, timelines, and stakeholder expectations. Lead Agile ceremonies, drive accountability, translate AI capabilities into actionable requirements, and proactively identify and mitigate risks across complex, concurrent initiatives.

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.

Manage and grow enterprise B2B SaaS customer relationships, driving adoption, measurable outcomes, retention, renewals, and expansion revenue. Develop account and engagement strategies, lead business reviews, enable users, identify risks and opportunities, and manage renewal and expansion pipelines. Act as a strategic advisor and commercial owner while collaborating with Sales, Support, Product, Engineering, and Legal. Represent customer feedback internally and influence the product roadmap.

Leads global data center capacity management across power, cooling, space, availability, and infrastructure. Manages forecasting, utilization optimization, DCIM-based inventory, reporting standards, physical audits, compliance readiness, SLAs, equipment lifecycle planning, and decommissioning. Builds and develops a team while influencing cross-functional partners and suppliers. Requires strong data center infrastructure knowledge, advanced spreadsheet analysis, capacity modeling, and experience using AI to improve workflows and decisions.

Leads Inato’s marketing organization and strategy, including account-based marketing for enterprise sponsors, integrated sales campaigns, product positioning, go-to-market execution, customer marketing, and advocacy programs. Establishes marketing goals and metrics tied to business outcomes while partnering with Sales, Product, Customer Success, Strategy, and executive leadership. Coaches and develops the marketing team, builds internal product marketing capabilities, and drives measurable pipeline creation, customer expansion, and market differentiation.

Leads technical pre-sales and foundational implementation engagements for SailPoint SaaS solutions. Discovers customer requirements, maps them to product capabilities, delivers proof-of-value implementations, explains architecture and best practices, and collaborates with sales, product, services, and customer success teams. Develops AI and agentic technology solutions for demonstrations and customer problems, while serving as a technical and consultative advisor to customers, partners, and colleagues.

Forward Deployed Engineers support sales and customer engagements by discovering requirements, designing and implementing foundational SaaS solutions, delivering proof-of-value implementations, and educating customers on architecture and best practices. They collaborate with sales, product, professional services, and customer success teams; use AI and agentic technologies to solve customer problems; lead technical engagements; document requirements; and develop reusable demonstration solutions. The role may require up to 15% travel.

Forward Deployed Engineers support enterprise sales and customer engagements by discovering requirements, mapping them to SailPoint solutions, and delivering foundational implementations and proof-of-value projects. They provide technical leadership, explain architecture and best practices, collaborate across sales, product, services, and customer success teams, and develop AI- and agentic-technology solutions for demonstrations and customer problems. The role requires strong client communication, software implementation expertise, SaaS architecture knowledge, and familiarity with enterprise infrastructure and identity governance.

Leads a team of Forward Deployed Engineers while supporting sales, customer discovery, solution architecture, foundational implementations, and proof-of-value engagements. The role translates customer requirements into SailPoint solutions, advises on product architecture and best practices, collaborates across sales, product, services, and customer success, and develops AI-powered agentic solutions for demonstrations and customer outcomes. It requires significant enterprise software implementation or presales experience, technical leadership, SaaS architecture knowledge, and client-facing consulting expertise.

Leads enterprise AI tooling and security engineering, designing scalable cloud platforms and secure AI applications. Responsibilities include protecting models, agents, prompts, data, APIs, and outputs; securing the AI/ML lifecycle; implementing identity, encryption, monitoring, threat detection, adversarial testing, and incident response; and establishing engineering standards. The role mentors engineers, influences architecture and technology strategy, and partners with governance, risk, compliance, and business teams to support responsible AI adoption.

Own the full sales cycle for Fieldguide’s AI audit platform across public sector organizations, initially focusing on federal accounts. Build territory and go-to-market strategy, navigate complex government procurement processes, exceed revenue targets, develop executive and practitioner relationships, and manage multithreaded enterprise deals. Collaborate cross-functionally to shape messaging, sales processes, and market expansion into state, local, and higher education sectors. The role is fully remote in the United States with up to 30% travel.

Own the end-to-end integration and automation architecture for the MyCDW platform. Design ServiceNow integrations, APIs, event-driven patterns, middleware, data contracts, AI-agent guardrails, automated workflows, and observability. Establish governance, security, coding standards, testing, documentation, and reusable architecture patterns. Evaluate platforms, lead prototypes, resolve complex issues, manage vendors, influence stakeholders, and align solutions with business strategy, compliance requirements, scalability, resilience, and cost objectives.

Build and lead enablement programs for Customer Success and Implementation teams, including onboarding, product training, continuous learning, playbooks, and AI-enabled workflows. Identify performance gaps, translate product updates into practical training, improve adoption of tools and processes, and establish feedback loops with Product, Support, Customer Education, and Product Marketing. The role supports stronger renewals, expansions, customer outcomes, and operational efficiency in a growing SaaS organization.

Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Lead and operationalize GitLab's Internal Audit function: plan and execute risk-based audits, oversee SOX testing, facilitate enterprise risk management, coach a distributed audit team, implement QA/improvement programs, and report to senior leadership and the Audit Committee.

Design and implement AI systems and scalable ML models (Python, TensorFlow); build/maintain data pipelines and integrations; apply NLP (NLTK) and deep learning for analytics; deploy and optimize models (including open-weight LLMs); collaborate with stakeholders and continuously learn to improve AI solutions and deployment reliability.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

The Software Engineer II will develop AI capabilities, implement workflows, manage integrations with LLM providers, and enhance the TrakSYS platform while ensuring security and reliability.

Lead technical vision for AI and platform infrastructure across the company. Solve ambiguous, high-stakes problems end-to-end, set architecture and paved-road standards, guide AI provider selection, ensure compliance for government environments, mentor engineers, and drive adoption of best practices in DevOps, CI/CD, developer experience, and compute infrastructure.