Product Manager

About the Job

We’re looking for a Product Manager who will own the end-to-end lifecycle of our offerings—from ideation, user validation, prototyping, development, and launch—while building demos and POCs.  You’ll partner with sales and customer-success to enable compelling product demos, conduct market research to define requirements and go-to-market strategies, and rigorously evaluate both new and existing product lines against competitive and technical benchmarks.

Key Responsibilities:

• Product Lifecycle Management:

  Drive the complete product lifecycle from ideation, user vetting, and PRD creation, through prototyping, greenlighting, development, and market launch.

• Agentic AI Platform Expertise:

  Build demos and Proofs of Concept (POCs) for Agentic AI implementation within the platform, highlighting their unique capabilities and approaches.

• Sales & Customer Enablement:

  Empower sales and customer success teams to effectively demo and sell the product to clients.

• Market Research & Strategy:

  Identify product opportunities, conduct thorough market research, define product requirements, and develop comprehensive marketing, production, pricing, and launch strategies.

• Thought Leadership:

  Serve as an internal thought leader on Agentic Generative AI platforms and tools, continuously researching and informing stakeholders on new technology trends in this domain.

• User Acceptance Testing (UAT):

  Act as a hands-on UAT tester, representing user perspectives for building agents and workflows powered by enterprise knowledge sources.

• Agile & Scrum Management:

  Lead and facilitate scrum meetings, including weekly and daily standups, to ensure timely and high-quality delivery of features and product capabilities.

• Cross-Platform Product Strategy:

  Collaborate with other Product Managers to develop a cohesive cross-platform product strategy.

Required Qualifications:

• Experience:

  3-6 years in product management, with a preference for B2B SaaS, MarTech, or Conversational AI.

• AI/ML Experience:

  2+ years working with AI/ML teams, including experience with NLP, NLU, or Generative AI applications.

• Problem-Solving:

  Strong problem-solving skills, capable of translating complex workflows into scalable, productized solutions.

• Analytical Acumen:

  An analytical mindset with the ability to extract actionable insights from data.

• Collaboration:

  Proven experience collaborating across design, engineering, and customer success teams in a fast-paced environment.

• Communication:

  Excellent written and verbal communication skills, with the ability to clearly convey product ideas through slides, visuals, and documentation.