Product Manager - Emerging Technologies - 1071
RemoteUnited States or Moscow, Idaho, United States
Job Summary
Execute the product roadmap for AI data delivery capabilities, focusing on Model Context Protocol and evolving agent interactions. Translate strategy into clear requirements, user stories, and release plans while prioritizing the backlog based on customer value and technical feasibility. Partner with Engineering, Security, and Data Science to deliver secure, scalable capabilities that enable AI platforms to consume Lightcast data. Gather customer feedback to drive actionable enhancements and coordinate cross-functional dependencies to manage delivery risks. Define success metrics to monitor adoption and identify opportunities for continuous improvement.
Required Qualifications
- 5+ years of Product Management experience delivering software products
- Hands-on product experience with AI integrations, agentic technologies, LLMs, MCP, or related emerging AI technologies
- Experience working closely with Engineering teams in Agile development environments
- Strong experience developing product requirements, user stories, acceptance criteria, workflows, and release plans
- Demonstrated ability to manage and prioritize product backlogs across multiple stakeholders and competing priorities
- Experience creating technical product documentation, implementation guidance, integration requirements, and supporting materials for technical and non-technical audiences
- Ability to translate highly technical concepts into clear internal and external product education, training, and sales enablement materials
- Excellent communication and organizational skills, with the ability to collaborate effectively across highly technical and business-facing teams
- Strong analytical and problem-solving abilities
Desired Qualifications
- Experience delivering data products, platform capabilities, enterprise data solutions, or other technically complex software products
- Experience with enterprise data delivery, AI data access, AI tooling, or AI-enabled workflows
- Familiarity with AI governance, data security, privacy, licensing, and responsible AI practices
- Experience using product analytics, adoption metrics, and customer feedback to improve product adoption and performance
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