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LaunchDarkly

Builds controls for software releases and AI agents

Director: Internal AI Operations

Business OperationsConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • 15+ years of progressively responsible experience in AI or technology operations, enterprise systems, data and analytics, FinOps, governance, transformation, or a related field, including 5+ years leading teams or complex cross-functional programs.
  • Demonstrated success designing, implementing, or scaling an operating model across multiple functions, including clear ownership, policies, processes, metrics, governance, and measurable outcomes.
  • Experience managing an enterprise portfolio of AI or technology tools, vendors, integrations, or platforms, including lifecycle management, access and administration, risk and controls, contracts, usage, and spend.
  • Strong financial, analytical, and data-driven mindset, with experience using tools such as Snowflake, Excel, Python, or equivalent; able to define adoption, efficiency, unit economics, return on investment, and business-value metrics and turn complex data into executive-ready recommendations.
  • Strong financial and operational acumen, with experience building spend visibility, forecasts, budget controls, vendor or model-cost optimization, cost avoidance, waste reduction, and value-improvement plans.
  • Strong written and verbal communication skills, including the ability to explain complex topics clearly, present recommendations to senior and executive leaders, and persuade diverse stakeholders.
  • Experience influencing functional and technical leaders without relying on direct authority, clarifying distributed accountability, benchmarking performance, challenging tradeoffs, and driving follow-through across global, remote, and cross-functional teams.
  • Curiosity and willingness to learn emerging AI capabilities quickly, experiment pragmatically, identify high-value use cases, and apply sound judgment about where AI should and should not be used.
  • Practical understanding of responsible AI, data governance, privacy, security, vendor risk, and change management, with the judgment to balance innovation, control, scalability, and business value.
  • Strong systems thinking, program management, prioritization, and change leadership skills; comfortable bringing structure to ambiguous, company-wide problems.
  • Experience hiring, coaching, or developing effective teams and building trusted partnerships across Finance, IT, Security, Legal, Procurement, and business functions.

Responsibilities

  • Build and maintain visibility into AI spend and usage; develop adoption, efficiency, and cost metrics; report on tool overlap, cost drivers, and open risks; and support Finance with forecasting, budget tracking, anomaly detection, and vendor and model-cost optimization. Functional and technical leaders own efficiency, waste, cost, usage, and return on investment within their portfolios; AI Operations prepares regular reporting and flags performance gaps for follow-up.
  • Maintain the inventory of AI tools, initiatives, agents, vendors, integrations, owners, status, spend, risks, and dependencies, and establish processes and standards to keep it accurate across teams.
  • Participate in reviewing new AI vendor requests and own and manage the Internal AI Feature Review process from intake through decision, conditions, approval, exception, or rejection, coordinating inputs from Security, Legal, IT, and business owners.
  • Develop and maintain the company’s Internal AI Policy and supporting resources with Legal, Security, and the Executive team; recommend policy changes and put approved changes into operation.
  • Track the AI roadmap, migrations, platform dependencies, adoption milestones, resourcing, risks, and executive decisions.
  • Collaborate on new AI product initiatives with technology teams, empowering product teams to identify and deliver value around AI.
  • Define and audit standards for access, ownership, configuration, data controls, logging, retention, vendor settings, and offboarding.
  • Own the Internal AI communications calendar, stakeholder updates, frequently asked questions, launch materials, training coordination, and policy-change communications.
  • Establish a common cadence and minimum artifacts across distributed AI Centers of Excellence without centralizing their technical or domain ownership.

About the Company

LaunchDarkly

Builds controls for software releases and AI agents

LaunchDarkly builds software that lets engineering and product teams control released features and AI agents without shipping another version of an application. Its CodeControl product combines feature flags, which switch behavior on or off for selected users, with experimentation and tools for observing errors. AgentControl manages prompts and model settings, evaluates responses, and routes requests between models to improve output and control spending. Customers integrate the platform into their applications and pay through usage-based plans or custom enterprise contracts. Founded in 2014, LaunchDarkly is headquartered in Oakland, California.

Company size
501-1,000
Company stage
Series D
Total funding
$330.3M
Headquarters
Oakland, CA
Founded
2014

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