Senior Program Manager, AI Ops – GTM

Motive

. Serve as the connective link between the Revenue organization and Enterprise Systems technical engineers for AI-related builds and deployments .

Posted 9/17/2026full-timeRemote • United StatesSenior💰 $140,000 - $157,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI product strategy, agile development, and cross-functional collaboration, with a strong focus on translating business needs into technical requirements and managing AI-related projects effectively.

Highest-signal resume keywords

Product/Program ManagementGenAI FundamentalsAgile MethodologyCross-Functional DeliveryBusiness Case Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringRAG PipelinesMulti-Agent OrchestrationLLM Operating Cost ModelingBacklog TriageSprintsA/B TestingPost-Release Monitoring

Soft Skills

CommunicationCollaborationTraining

Tools & Technologies

AI ToolsInternal Tools

Industry Keywords

U.S. Export Administration RegulationsAI Usage ProcessesAI Product StrategyTechnical RequirementsData Quality Management

About the role

Key responsibilities & impact

Serve as the connective link between the Revenue organization and Enterprise Systems technical engineers for AI-related builds and deployments
Translate business use cases into technical requirements and user stories
Align timelines, project plans, and scope across technical and business teams
Establish and maintain AI usage processes and policies with IT leaders
Partner with business and data teams to identify, prepare, and maintain high-quality data sources
Own the internal roadmap for AI agents, applications, and prompts
Guide agile development through intake, sizing, development, QA, release, and ongoing support
Collaborate with Revenue Developers on agent, application, and prompt engineering
Size ongoing agentic-use-case consumption costs based on usage, token consumption, and model selection
Create business cases for AI investment priorities and roadmap prioritization
Coordinate GTM AI vendor evaluations, including vetting, trial criteria, procurement, infosec, legal, and internal-tool comparisons
Provide executive and business-leader updates, explaining technical concepts in business terms and focusing on impact
Establish internal AI product strategy and development practices for solutions serving 2,000+ sellers
Train organization members on AI tools and measure and improve adoption

Requirements

What you’ll need

Mixed business and technical background
5+ years of product/program management experience
At least 2 years of experience working directly with engineering resources
2+ years of hands-on proficiency with GenAI fundamentals, including prompt engineering, RAG pipelines, and multi-agent orchestration
Ability to model LLM operating costs, including token burn, model choice, and usage forecasts
Experience creating business cases to justify internal tool investments
Fluency in Agile for AI, including backlog triage, sprints, rapid A/B experiments, and post-release monitoring
Track record steering cross-functional delivery across business, technical, and procurement teams
Must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations
Employees must be authorized to receive access to Motive products and technology

Benefits

Comp & perks

Health, pharmacy, optical, and dental care benefits
Paid time off
Sick time off
Short-term and long-term disability coverage
Life insurance
401(k) contribution
Some roles may include restricted stock units
Some interviews or new-hire training sessions may be held in person at one of Motive's global offices