Product Manager, AI Data Delivery & Emerging Tech

Lightcast; Moscow (ID); On-site; USD 110,000 - 170,000; Full time

Job summary

Lightcast is seeking a Product Manager, Emerging Technologies, to execute AI product capabilities enabling Lightcast data and services for AI platforms, agents, and emerging ecosystems. You will translate AI strategy into shipped products, owning MCP-focused delivery, and collaborating with engineering, data science, and security.

You will drive requirements, backlogs, and release plans while partnering with Security, Legal, and Product Leadership to ensure secure, scalable solutions.

Qualifications

• 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.

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.
• 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.
• 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 elevate blockers when needed.

Skills

Product management

AI integrations

Agile development

Requirements definition

Cross-functional collaboration

Job description

Lightcast is seeking a Product Manager, Emerging Technologies, to execute AI product capabilities enabling Lightcast data and services for AI platforms, agents, and emerging ecosystems. You will translate AI strategy into shipped products, owning MCP-focused delivery, and collaborating with engineering, data science, and security.

You will drive requirements, backlogs, and release plans while partnering with Security, Legal, and Product Leadership to ensure secure, scalable solutions.