AI Product Manager

OPTIVEUM sp. z o.o. • Capon Bridge, WV

5d • $4,500 - $5,500 • Hybrid

About The Position

Our client is an AI-native enterprise solutions company with purpose-built technology for public & private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four global offices, they are supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, our client enables organizations to scale operational excellence and generate alpha across complex enterprise environments.

Requirements

• Product management experience building and shipping AI-powered/LLM-based products in production, ideally in data, analytics, automation, or developer/platform environments.
• Understanding of embeddings, evals, tool calling, MCP, and AI product limitations.
• Proven ability to drive work forward and truly own the roadmap and execution of their product.
• Solid understanding of Agile/Scrum methodologies and familiarity with Jira or similar project management tools.
• Passionate about working closely with engineering/design/QA teams.
• Strong communication and interpersonal skills, with the ability to convey ideas effectively to technical and non-technical stakeholders across the business.
• Strong analytical and problem-solving skills, with the ability to articulate and justify product and prioritization decisions clearly and logically.
• Bachelor's degree in Economics, Business, Computer Science, or a related field.

Nice To Haves

• Understands how LLM products work in production, including embeddings, document retrieval, evals, tool/function calling, MCP, orchestration, and reliability.

Responsibilities

• Product Vision/Roadmapping for AI-powered experiences across the platform.
• Manage the end-to-end product lifecycle, from concept to release.
• Cross-Functional Collaboration - Work with stakeholders across the company, including engineering, design, QA, and marketing, to manage successful product launches.
• Production AI Quality & Reliability - Define how AI features should behave in production, including quality standards, evaluation criteria, permissions, latency expectations, and failure states.
• AI Product Judgment - Make strong product decisions about when to use AI, when to use traditional UX, and how to combine both effectively.
• Day-to-day Project Management - Support process improvements and the implementation of best practices in product development, including Agile methodologies. Collaborate with team members to ensure efficient and effective product delivery.
• Product Strategy and Customer Research - Conduct market research to identify customer needs and industry trends. Gather and analyze user data to support product decisions and feature prioritization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level