Jobs in the United States

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Added 8 mins ago
Senior Staff Engineer - Agentic Identity
Cisco Systems, Inc.
Remote, United States
Deliver Developer Tooling & APIs: Build reusable APIs, SDKs, CLI tools, and integration patterns (including Model Context Protocol/MCP-based access) to enable seamless adoption across…
Added 9 mins ago
Principal Software Engineer, AI Defense (Hybrid)
Cisco Systems, Inc.
Milpitas, CA
…that safeguard foundation models, multi-agent frameworks, and Model Context Protocol (MCP) tool execution from emerging cyber threats. In this role, you will balance strategic…
Added 11 mins ago
Inside Account Executive - SLED
Cisco Systems, Inc.
Remote, United States
…assigned territory using a channel go to market distribution model. You will target market opportunities by segment and use available resources to aggressively pursue opportunities while…
Added 25 mins ago
Sr. Specialist, AI CRM Engineering
E.R. Squibb & Sons,L.L.C.
Princeton, NJ
…connected to CRM data pipelines, including next-best-action (NBA) model outputs, call planning tools, and sentiment analysis features for field rep…
Added 25 mins ago
Senior Manager, CRM Engineering, Administration & Development - Field Enablement
E.R. Squibb & Sons,L.L.C.
Princeton, NJ
Added 25 mins ago
Associate Engineer, Analytical AI Engineering
E.R. Squibb & Sons,L.L.C.
Princeton, NJ
- Familiarity with ML concepts and workflows (model training, feature engineering, data preparation); MLOps experience a plus.
Added 26 mins ago
Lead Kubernetes Architect (AKS and GKE)
Humana Inc.
Remote, United States
Partner with cross-functional teams to onboard applications and build platform capabilities that improve developer experience, security, and operational consistency.
Added 32 mins ago
Senior Software Engineer - Java, AWS, & Distributed Systems
BOK Financial
OR
Data & Storage: Model schemas and access patterns for SQL Server, PostgreSQL, MongoDB, and Redis; optimize for correctness, performance, and cost.
Added 35 mins ago
Senior Vice President, Managed Services
Jobgether
Remote, United States
…help shape the evolution of an AI-enabled managed services model, leveraging automation and platform capabilities to improve efficiency and customer value. The opportunity offers…
Added 35 mins ago
Co-Simulation Engineer III
Jobgether
Remote, United States
Establish simulation assumptions, initial conditions, coupling strategies, and model boundaries across 1D hydraulic networks, 3D CFD models, and control systems.
Added 35 mins ago
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AI/ML Modeling Team Lead
Jobgether
Remote, United States
- $140,000 to $170,000 USD / year
Champion disciplined version control, technical documentation, model validation, and consistent development standards.
Added 52 mins ago
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Staff Software Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
- Design durable workflows and systems that support AI agents, long-running jobs, model routing, and inference workloads.
Added 59 mins ago
Director of Finance
Rocket Lawyer
United States
Model and monitor AI cost of sales, incorporating inference and compute consumption as key variable drivers; collaborate with leadership to optimize cost-to-serve metrics and refine unit…
Added 1 hour ago
Senior Data & Business Intelligence Analyst
Jobgether
Remote, United States
Use DAX, Power Query, SQL, and related tools to prepare, model, validate, and present data from enterprise sources.
Added 1 hour ago
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HRIS Business Operations Manager
Jobgether
Remote, United States
- $135,000 to $150,000 USD / year
Lead HR technology support through the Business Operations service model, ensuring requests and issues are prioritized, routed, resolved, and communicated effectively.
Added 1 hour ago
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Member of Technical Staff, ML Systems
True Talent Solutions Partners
Menlo Park, CA
- $180,000 to $260,000 USD / year
Join an AI/ML team building and improving the training and inference stack for image, video, and world-model workloads. You will own performance across GPU kernels, distributed systems, and…
Added 1 hour ago
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Head of Startups and Venture Capital, Sales
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San Francisco, CA
- $360,000 to $400,000 USD / year
- 5+ years in startup partnerships, venture capital, business development, or GTM roles at a cloud, developer, or AI infrastructure company.
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Physics AI Internship (Summer 2027)
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AI Strategy Director
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Concord, NH
- $160,000 to $256,600 USD / year
Establish frameworks for model lifecycle management, performance monitoring, and risk mitigation.
Added 1 hour ago
Senior Data Architect
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Remote, United States
Implement automated testing, including unit tests, data quality and contract tests, schema-drift detection, and semantic model regression testing.
Added 1 hour ago
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Sales Manager (Part Time)
Carter's Retail Inc.
San Bernardino, CA
- $18.75 to $22.75 USD / hour
- Part-time
Consistently model service standards and omni-channel experience while coaching others to success
Added 1 hour ago
SAP - OTC - Manager - Consulting - Location OPEN
EY
Honolulu, HI
Added 1 hour ago
Enterprise Architect (5686)
SMX
Honolulu, HI
…expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and…
Added 1 hour ago
Data Engineer (5626)
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Honolulu, HI
…expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and…

LaunchDarkly

Director, Internal AI Operations

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

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 hr@launchdarkly.com.

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 careers@launchdarkly.com.

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