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Lumenci

Associate Product Manager

Lumenci

India · На постоянной основе

Подайте заявку первыми!

Опыт
1–3 года
Зарплата
Открытия
1
Опубликовано
14 часов назад
Режим работы
В офисе
Резюме
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Где вы будете работать

Описание работы

About Lumenci

Lumenci specializes in strategic monetization of legal and technology assets, collaborating with leading technology companies, law firms, inventors, start-ups, and funds. Their expertise spans hardware, software, telecom, networking, and semiconductor technologies, blending domain knowledge with strategic insights to maximize return on investment throughout the lifecycle of inventions and legal assets.

Role Overview

The Associate Product Manager will play a crucial role in advancing Lumenci AI, an agentic AI platform designed for patent analysis and legal workflows. This position focuses on driving disciplined product execution during the transition from proof-of-concept to production, involving interplay between large language models (LLMs), workflow automation, and specialized legal and intellectual property domains.

Key Responsibilities

  • Lead sprint planning and Agile ceremonies (e.g., standups, retrospectives, backlog grooming) as Scrum Master.
  • Convert user stories and technical needs into clear product requirement documents (PRDs), epics, and acceptance criteria.
  • Maintain consistent delivery progress with engineering teams and external collaborators.
  • Collaborate with AI engineers and domain experts to prototype and validate agentic workflows.
  • Evaluate LLM outputs for accuracy, reliability, and relevance to domain-specific tasks like patent claim analysis.
  • Design metrics frameworks to assess agent performance in relation to user expectations.
  • Apply structured problem-solving techniques (such as root cause analysis) to identify and resolve feature gaps and failures.
  • Balance rapid delivery with thorough validation to ensure quality.
  • Monitor key product metrics including user onboarding, feature utilization, and satisfaction.
  • Develop scalable, thorough product documentation such as decision logs, workflow diagrams, and onboarding materials.
  • Align day-to-day activities with strategic objectives (OKRs) and communicate progress and trade-offs transparently to stakeholders.

Required Qualifications and Experience

  • 1 to 3 years of experience in product management or closely related positions.
  • Strong proficiency in Agile and Lean product development methodologies.
  • Demonstrated ability to transform ambiguous challenges into delivered features.
  • Experience crafting precise and actionable requirements for engineering teams.
  • Familiarity with AI and LLM fundamentals, including understanding of common production behaviors such as hallucinations, prompt sensitivity, and latency.
  • Exposure to Retrieval-Augmented Generation (RAG) workflows or vector search methodologies.
  • Hands-on approach with prompt testing, agent output evaluation, and basic coding experimentation.
  • Bonus: Knowledge of evaluation metrics for LLM quality like precision, recall, and human-in-the-loop processes.
  • Adaptability to fast-paced, lean start-up environments with evolving priorities and multi-role responsibilities.
  • Strong communication skills for clear decision rationale and active user feedback integration.
  • Desirable: background in intellectual property, patent law, legal technology, or familiarity with patent invalidation and infringement analysis concepts.

Culture and Values

  • Customer-centric focus aiming for lasting client relationships, including internal stakeholders.
  • Commitment to quality, accountability, and ownership with results-driven mindset.
  • Collaborative approach valuing team success over competition.
  • Growth-oriented mindset encouraging adaptability and skill development.

Who Will Succeed?

  • Enthusiasm for building AI products from inception to maturity.
  • Curiosity about agent system mechanics and failure modes.
  • Value rapid feedback loops between users, engineering, and product teams.
  • Interest in combining advanced AI with expert real-world domain knowledge.
  • Comfort with ambiguity paired with the ability to bring order and structure.

Location

This position is based in Gurugram, India, and requires onsite presence.

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