Product Manager - Emerging Technologies - 1071

Important information before applying:

Location: This position is remote; however, Lightcast can only employ individuals who live and work in states where the company is authorized to operate. At this time, we cannot employ individuals residing or working in the following states: Alaska, Arkansas, California, Delaware, Mississippi, Montana, Nebraska, New Mexico, North Dakota, Rhode Island, South Dakota, Vermont, West Virginia, and Wyoming.

Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.

The Product Manager, Emerging Technologies, 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, this role 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. This role owns the day-to-day product execution required to move AI initiatives from defined strategy through development, launch, adoption, and continuous improvement. The Product Manager partners closely with technical teams to translate product direction and customer needs into clear requirements, prioritize the backlog, manage tradeoffs and dependencies, and ensure delivered capabilities are secure, scalable, reliable, and valuable to customers. 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.

Product Execution 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. AI Product & Data Delivery Partner with Engineering to 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. Customer & Partner Collaboration 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. Product Operations 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.

5+ years of Product Management experience delivering software products required. Hands-on product experience with AI integrations, agentic technologies, LLMs, MCP, or related emerging AI technologies required. Experience working closely with Engineering teams in Agile development environments required. Strong experience developing product requirements, user stories, acceptance criteria, workflows, and release plans required. Demonstrated ability to manage and prioritize product backlogs across multiple stakeholders and competing priorities required. Experience creating technical product documentation, implementation guidance, integration requirements, and supporting materials for technical and non-technical audiences required. Ability to translate highly technical concepts into clear internal and external product education, training, and sales enablement materials in partnership with Product Marketing required. Excellent communication and organizational skills , with the ability to collaborate effectively across highly technical and business-facing teams required. Strong analytical and problem-solving abilities required. Experience delivering data products, platform capabilities, enterprise data solutions, or other technically complex software products preferred. Experience with enterprise data delivery, AI data access, AI tooling, or AI-enabled workflows preferred. Familiarity with AI governance, data security, privacy, licensing, and responsible AI practices preferred. Experience using product analytics, adoption metrics, and customer feedback to improve product adoption and performance preferred.

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