[Hiring] Technical Product Lead @Lumenci

Role Description

Lumenci is seeking a Technical Product Lead to own the full lifecycle of its AI-powered patent intelligence platform, iLumos.ai. This is a rare opportunity for a patent domain expert with deep AI fluency to sit at the intersection of patent law, enterprise AI, and product strategy at a fast-scaling IP technology company.

Key Responsibilities

• Product Strategy & Roadmap
  • Own the product roadmap for iLumos.ai
  • Prioritize features based on client ROI, competitive gaps, and engineering feasibility
  • Define quarterly OKRs and report delivery progress to leadership using AI-generated metrics
  • Identify underserved segments — boutique firms, solo practitioners, mid-market in-house teams priced out of premium platforms
  • Drive API-first and integration strategy
• LLM Workflow Design
  • Write system prompts, tool definitions, and structured output specs for every LLM workflow
  • Design agentic, multi-step workflow architecture for patent analysis pipelines
  • Define evaluation rubrics for LLM-as-judge pipelines; LLM Ops wires them into CI/CD
  • Iterate on prompts using Braintrust eval data, attorney feedback, and hallucination reports — prompt changes ship like code
  • Maintain a versioned prompt library with eval scores and rollback capability
• Patent Domain Authority & Quality Gate
  • Serve as the final go/no-go quality gate on all AI-generated outputs before they reach clients
  • Validate output accuracy against professional standards expected by Am Law firms and Fortune 500 IP teams
  • Curate the gold evaluation dataset — attorney-reviewed ground truth used to benchmark every workflow
  • Liaise directly with law firm and corporate IP clients to convert feedback into prompt and pipeline improvements
  • Flag and escalate legal accuracy risks; one hallucinated citation in active litigation can cost a client millions
• Delivery Cadence & Team Coordination
  • Run async-first, output-oriented continuous delivery — measured by what ships
  • Replace standups with AI-generated daily digests from commits and deployment events
  • Coordinate across Full-Stack and Platform/Security engineering on dependencies without adding process overhead
  • Own the enterprise client relationship: demo new capabilities, manage expectations, translate feedback into engineering constraints
  • Manage budget, vendor relationships (Anthropic, AWS, data providers), and toolchain discipline
• Patent Domain Requirements
  • Claim structure and construction (independent/dependent claims, means-plus-function, PHOSITA standards)
  • Claim charting and "reads on" infringement/invalidity mapping
  • Prior art analysis under §102/§103, including motivation-to-combine arguments
  • Office action review and prosecution history/estoppel strategy
  • Invalidity contentions and §112 written description/enablement issues
  • Patent portfolio strategy (citation analysis, continuations, FTO)
  • USPTO Patent Center, EPO OPS, WIPO PCT, and prior art tools (Derwent, Orbit)
• AI & LLM Requirements
  • LLM architecture fundamentals: context windows, temperature, sampling, and their impact on legal output quality
  • Prompt engineering: chain-of-thought, few-shot examples, structured JSON schemas, hallucination-prevention constraints
  • Tool use / function calling for patent database queries, prior art retrieval, and citation lookup
  • Multi-step agent design (LangGraph or equivalent) for stateful patent analysis pipelines
  • LLM evaluation: golden datasets, LLM-as-judge patterns, legal accuracy metrics, Braintrust or equivalent
  • Hallucination mitigation in legal contexts: citation fabrication, claim scope inflation, jurisdictional drift
  • Cost/latency tradeoffs: prompt caching, token economics, batching at enterprise scale
• Daily tools:
  • Anthropic Claude API
  • LangSmith
  • LangGraph (or equivalent)
  • GitHub
  • JIRA

Qualifications

• 3–10 years combined across patent domain work and B2B SaaS product management, with a preference for 5+ years in B2B SaaS product management, including at least 2 years at a company competing in a domain with significant legal or regulatory accuracy requirements.
• Patent Domain Credentials (at least one required):
  • USPTO registered patent agent (registration number required)
  • JD with substantial patent prosecution or litigation experience
  • 3+ years hands-on experience with claim charts, invalidity contentions, FTO analyses, or office action responses
  • Familiarity with at least one patent analytics platform (Patlytics, Derwent Innovation, Orbit Intelligence, PatSnap, or Google Patents Advanced)
  • Technical undergraduate degree preferred (engineering, chemistry, CS, or biology)
  • Direct experience working with patent attorneys, Am Law firms, or in-house IP teams
• Product & AI Leadership:
  • Track record shipping AI-powered features to enterprise legal or IP clients
  • Comfort operating without a Scrum Master or dedicated QA team — async-first, high-ownership delivery
  • Ability to write LLM workflow specs precise enough for engineers to implement without clarification sessions
  • Strong client-facing skills: able to demo a half-built product and field hard technical/legal questions
  • Ability to make technical tradeoff calls with engineering (latency vs. accuracy, caching vs. freshness, context window vs. cost)
  • Sharp prioritization instincts in resource-constrained, high-leverage environments

Benefits

• Comprehensive Health & Well-being: Robust medical, dental, and vision insurance options with significant company contributions toward employee premiums.
• Retirement Strategy: 401(k) program with a competitive employer-matching contribution.
• Performance-Based Incentives: Total cash compensation includes a variable pay component designed to reward individual achievements and overall company success.
• Time Off & Leaves: Balanced leave policy including accrued Paid Time Off (PTO), designated company holidays, and additional "floating" holidays.
• Holistic Wellness Support: Dedicated Wellness Leave for physical health and emotional well-being, along with paid leave for significant life events.
• Culture of Autonomy & Growth: Flexible, remote-first work environment that favors autonomy and provides structured support for ongoing professional development.

Compensation and Pay Transparency

The expected total annual compensation range for this role is $135,000–$275,000, which may include base compensation and other eligible incentive components. This range reflects national market data for the role and is intended as a general guide; actual pay will vary based on the candidate's location, cost of labor in that geographic market, patent domain credentials, AI/LLM production experience, and overall seniority.

Equal Opportunity Employer

Lumenci is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Accommodation

If you require a reasonable accommodation to complete this application or participate in the interview process, please let your recruiter know.

Employment Relationship

Nothing in this job description creates or is intended to create a contract of employment for any specific period of time. Employment with Lumenci, if offered, is on an at-will basis and may be terminated by either the employee or Lumenci at any time, with or without cause and with or without notice, subject to applicable law.