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LaunchDarkly

Director, Internal AI Operations at LaunchDarkly

Remote, United States Remote Full-time

$229,000–$370,480 / year

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Role overview

An at-a-glance view of the facts included with this Director, Internal AI Operations at LaunchDarkly listing.

Company
LaunchDarkly
Location
Remote, United States
Work arrangement
Remote
Employment type
Full-time
Compensation
$229,000–$370,480 / year

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Role overview

This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.

LaunchDarkly is hiring a full-time, remote Director of Internal AI Operations in the United States. The role will turn the company’s AI direction into an operating model, with measurable objectives, clear processes, and coordinated work plans that support responsible adoption and growth across functions.

The director will maintain company-wide visibility into AI tools, initiatives, usage, costs, risks, and progress. They will run internal AI feature reviews, support policy and control operations, track roadmap execution, and coordinate communications and enablement. The position partners with functional, technical, and executive leaders while distributed teams retain ownership of their technical and domain work.

Success is measured by practical business outcomes, including improved team capacity or delivery, demonstrated value from priority use cases, more efficient reviews, reduced duplication and cost, and reliable governance. The listed annual pay range is $229,000–$370,480, depending on geographic zone, and all zones include a 15% bonus target. The role is remote within the United States.

Role at a glance: Remote U.S. Director of Internal AI Operations at LaunchDarkly, with annual pay of $229,000–$370,480 and a 15% bonus target.

Responsibilities mentioned in the listing

  • Report on AI usage, adoption, efficiency, costs, tool overlap, and risks; support Finance with forecasts, budget tracking, anomaly detection, and vendor or model-cost optimization.
  • Maintain an accurate inventory of AI tools, initiatives, agents, vendors, integrations, owners, status, spending, risks, and dependencies.
  • Manage internal AI feature reviews from intake to decision, coordinating Security, Legal, IT, and business stakeholders; participate in reviews of new AI vendor requests.
  • Develop and maintain the Internal AI Policy and supporting resources with Legal, Security, and the executive team, and operationalize approved policy changes.
  • Track AI roadmaps, migrations, platform dependencies, adoption milestones, resourcing, risks, and executive decisions.
  • Work with technology teams on AI product initiatives and help product teams identify and deliver value.
  • Define and audit standards for access, ownership, configuration, data controls, logging, retention, vendor settings, and offboarding.

Qualifications stated in the listing

  • 15+ years of progressively responsible experience in AI or technology operations, enterprise systems, data and analytics, FinOps, governance, transformation, or a related area, including 5+ years leading teams or complex cross-functional programs.
  • Demonstrated experience designing, implementing, or scaling a multi-function operating model with defined ownership, policies, processes, metrics, governance, and measurable results.
  • Experience managing an enterprise portfolio of AI or technology tools, vendors, integrations, or platforms, including lifecycle management, access, administration, risk, controls, contracts, usage, and spending.
  • Financial and analytical capability, including experience with Snowflake, Excel, Python, or equivalent tools, and the ability to develop adoption, efficiency, unit economics, ROI, and business-value measures and turn data into executive recommendations.
  • Experience creating spending visibility, forecasts, budget controls, vendor or model-cost optimization, cost avoidance, waste reduction, and value-improvement plans.
  • Strong written and verbal communication skills, including explaining complex topics, presenting recommendations to senior and executive leaders, and influencing varied stakeholders.
  • Ability to influence functional and technical leaders without direct authority, clarify shared accountability, benchmark performance, challenge tradeoffs, and drive follow-through across global, remote, cross-functional teams.
  • Curiosity about AI and ability to learn emerging capabilities, experiment pragmatically, identify valuable use cases, and exercise judgment about appropriate uses.
Full details from the source listing

About the Job:

LaunchDarkly is looking for a strategic, execution-oriented Director of Internal AI Operations to run and continuously improve how our company adopts and scales AI, establish the operational objectives, processes, and work plans that turn AI from a collection of tools into a measurable business capability and work with leaders across several functions to put the company’s AI direction into practice.

Responsibilities:

  • Reporting: Build and maintain visibility into AI spend and usage. Develop adoption, efficiency, and cost metrics and report on tool overlap, cost drivers, and open risks. Support Finance with forecasting, budget tracking, anomaly detection, and vendor and model-cost optimization. Functional and technical leaders own efficiency, waste, cost, usage, and ROI within their portfolios; AI Operations prepares regular reporting and flags performance gaps for follow-up.
  • Portfolio management: Maintain the inventory of AI tools, initiatives, agents, vendors, integrations, owners, status, spend, risks, and dependencies. Establish the processes and standards that keep it accurate across teams.
  • Reviews: 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.
  • Policy operations: Develop and maintain the company’s Internal AI Policy supporting resources with Legal and Security, and the Executive team, along with supporting resources. Recommend policy changes and put approved changes into operation.
  • Transformation and migration: Track the AI roadmap, migrations, platform dependencies, adoption milestones, resourcing, risks, and executive decisions.
  • Partnership with our technology teams: Collaborate on new AI product initiatives, empowering our product teams with how they identify and deliver value around AI.
  • Administration and audit: Define and audit standards for access, ownership, configuration, data controls, logging, retention, vendor settings, and offboarding.
  • Communications and enablement: Own the Internal AI communications calendar, stakeholder updates, FAQs, launch materials, training coordination, and policy-change communications.
  • CoE coordination: Establish a common cadence and minimum artifacts across distributed AI CoEs without centralizing their technical or domain ownership.

Qualifications:

  • 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, ROI, 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 a willingness to lean into AI: able to learn emerging 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.

What Success Looks Like:

  • Accelerate teams’ work through measurable improvements in cycle time, throughput, or capacity unlocked by AI.
  • Partner with functional leaders to demonstrate business value from priority AI use cases—not just increased usage.
  • Reduce friction from idea to responsible launch, measured by faster reviews, clearer decisions, and fewer stalled initiatives.
  • Improve AI portfolio efficiency through stronger utilization, reduced duplication, and better cost per user or workflow.
  • Establish trusted, scalable governance, with clear ownership, timely reviews, and consistent execution of required controls.

Pay:

Target pay ranges based on Geographic Zones* for Level M4:

  • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - 370,480*
  • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - 333,410**
  • Zone 3: All other US locations - $229,000 - 314,930*
  • All Zones inclusive of 15% Bonus Target

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

  • Improving the velocity and stability of software releases, without the fear of end customer outages
  • Delivering targeted experiences by easily personalizing features to customer cohorts
  • Maximizing the business impact of every feature through the ability to experiment and optimize
  • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
  • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at [email protected].

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance.

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to [email protected].

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