Product Manager - Emerging Technologies - 1071

Lightcast is a global leader in labor market insights with headquarters in Moscow, ID (US) and offices in the United Kingdom, Europe, and India.

About the role

This role is responsible for executing and delivering AI product capabilities that enable Lightcast data and services to be securely consumed and used by AI platforms, agents, and emerging AI ecosystems. Working closely with Product Leadership, Engineering, Data Science, and Security, the Product Manager translates Lightcast's AI strategy into shipped products and capabilities, with an initial focus on Model Context Protocol (MCP) and other emerging approaches for delivering Lightcast data into AI-driven experiences. The role owns the day-to-day product execution required to move AI initiatives from defined strategy through development, launch, adoption, and continuous improvement.

The ideal candidate enjoys working with highly technical teams, is comfortable navigating emerging AI technologies, and excels at translating strategy into action. They bring strong product judgment, disciplined execution, and the ability to turn complex technical concepts into products and experiences that customers can understand and use.

Responsibilities

• Execute the product roadmap for AI data delivery capabilities, with an initial focus on MCP and evolving opportunities across agents, LLMs, and other AI-enabled experiences.
• Translate product strategy into clear requirements, user stories, acceptance criteria, and release plans that support effective delivery.
• Own and prioritize the product backlog, making day-to-day product decisions based on customer value, technical feasibility, business priorities, and delivery constraints within the defined AI strategy.
• Partner closely with Engineering throughout development, testing, and release cycles.
• Deliver secure, scalable capabilities that enable AI platforms, agents, and AI-enabled products to consume and use Lightcast data.
• Define functional requirements for MCP capabilities, AI data access, orchestration workflows, agent interactions, and related AI data delivery experiences.
• Evaluate emerging AI technologies, standards, and delivery approaches and recommend practical applications within the established AI strategy.
• Partner with Security, Legal, Data, and Product Leadership to ensure AI delivery capabilities protect Lightcast data and intellectual property and align with security, governance, licensing, customer usage rights, and responsible AI requirements.
• Gather customer and partner feedback to understand AI data delivery needs and translate those insights into actionable product enhancements.
• Work with Customer Success, Sales, and Solution Engineering to validate product requirements and support customer adoption.
• Define success metrics and monitor usage, adoption, customer feedback, and post-launch performance to identify opportunities for improvement.
• Coordinate cross-functional dependencies across Product, Engineering, Security, and Data Science.
• Identify product delivery risks, manage tradeoffs and dependencies, and escalate blockers when needed.

Requirements

• 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 in partnership with Product Marketing.
• Excellent communication and organizational skills, with the ability to collaborate effectively across highly technical and business-facing teams.
• Strong analytical and problem-solving abilities.

Preferred 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.