Senior AI Operations Product Manager (GTM)

As our first Internal AI Operations Product Manager, you will be fundamental in establishing our internal AI product strategy and development practices, guiding the creation of AI solutions for 1000+ sellers.

In this pivotal role, you will wear many hats. As the connective tissue between our Revenue organization’s business needs and our technical teams, you will translate prioritized use cases into clear user stories with actionable development requirements for our Revenue Developers. You will maintain the internal product roadmap, guiding an agile development cycle across user story creation, building a proof-of-concept, full scale development, UAT, and ongoing support. You will also serve as a key member of our vendor evaluation team, researching AI vendors that meet the requirements of tools not already within our tech stack, scoring vendors against those requirements, and working across IT, procurement, and legal to progress vendor evaluations.

As a thought leader on AI within our GTM team, you will be responsible for creating + owning the processes and policies that GTM team members follow when leveraging AI while setting the standard for how the data that feeds our AI models is collated. In partnership with our Sales Enablement team, you will serve as an AI expert in trainings across the organization, measuring and improving the adoption of the AI tools we launch.

You will be equally comfortable diving into the technical details of how chunking will be implemented in a new application with our Revenue Developers as you are explaining your token consumption forecast to an executive. Above all else, you will be a key part of the team revolutionizing GTM at Motive using AI and play a significant role in the next phase of Motive’s revenue growth.

What You'll Do:

• Serve as the connective glue between the Revenue organization and our Enterprise Systems team of technical engineers for all AI related builds and deployments
• Translate prioritized business use cases into technical development requirements and user stories for GTM AI Ops Revenue Developers and Enterprise Systems to execute on. Work across both parties to keep timelines, project plans, and project scope aligned.
• Establish and maintain processes and policies around AI usage at Motive, in partnership with Motive’s IT leaders.
• Partner with business and data teams to identify, prepare, and maintain high-quality data sources, ensuring our AI solutions have a strong foundation to leverage.
• Own the internal development roadmap for AI agents, applications, and prompts. Guide an agile development process inclusive of use case intake, sizing (impact and effort), development, QA, release, and ongoing support.
• Collaborate closely with the Revenue Developers who conduct the tactical agent, application, and prompt engineering work, ensuring that built AI tools meet user requirements and business objectives.
• Size the ongoing consumption costs for agentic use cases based on anticipated usage, token consumption, and model selection.
• Create business cases that support Motive’s AI investment priorities and guide prioritization across the AI ops roadmap
• Coordinate AI related vendor evaluations for the GTM team. This includes initial vetting, defining trial success criteria, navigating procurement / infosec / legal, and ensuring all high priority evaluations have an internally built tool included in the evaluation.
• Provide regular updates to executive sponsors and business leaders, explaining technical concepts using common language and focusing on business impact.

What We're Looking For:

• Mixed business and technical background. You can “speak code” with developers and technical teams just as easily as you can understand nuanced business problems with sales teams.
• 5+ years of product / program management experience, including at least 2 years of experience working directly with engineering resources.
• Hands-on proficiency with GenAI fundamentals — prompt engineering (zero-/few-shot, chain-of-thought), RAG pipelines, and multi-agent orchestration.
• Ability to model LLM operating costs (token burn, model choice, usage forecasts) and keep spend within ROI targets.
• Experience creating business cases to justify internal tool investments
• Fluency in Agile for AI: backlog triage, sprints, rapid A/B experiments, and post-release monitoring.
• Track record steering cross-functional delivery—acting as “connective tissue” between business, technical, and procurement teams
• Prior experience at a top-tier management consulting firm (McKinsey, Bain, or BCG) or Technology Consultants from Deloitte, PWC, Accenture etc. a plus
• Location: Remote USA or Canada (and must already be located in one of these countries)