Motive is looking to establish its internal AI product strategy and development practices to guide the creation of AI solutions for over 1000 sellers, aiming to revolutionize Go-To-Market (GTM) strategies and drive revenue growth.
Requirements
- 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
Responsibilities
- 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.
- 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.
- 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.
Other
- Guiding the creation of AI solutions for 1000+ sellers.
- 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.
- 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.
