Technical Product Lead - AI Platform

Lumenci • Austin, TX

2d • $135,000 - $275,000 • Remote

About The Position

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.

About Lumenci
Founded in 2018, Lumenci is a premier intellectual property consulting firm specializing in patent litigation, expert witness testimony, and patent monetization for leading corporations and global law firms operating across the software, telecommunications, semiconductors, and emerging technology sectors.
A key part of Lumenci’s model is the integration of deep technical expertise with litigation strategy. Our teams support high-stakes disputes by developing technical narratives, performing rigorous analysis, and partnering with world-class expert witnesses whose testimony shapes case outcomes in courts and arbitration forums worldwide.

Headquartered in Austin, Texas, with offices in San Francisco, New York, and Gurugram, India, Lumenci delivers end-to-end support spanning technical analysis, expert strategy, valuation, and monetization execution. Our differentiated approach, which includes combining engineering depth, litigation experience, and operational rigor, has resulted in long-term partnerships with leading law firms and technology companies navigating complex IP disputes. Lumenci is backed by VSS Capital Partners (“VSS”) and Century Equity Partners (“CEP”). VSS is a private equity firm dedicated to investing in tech-enabled business services, healthcare, and education companies. Since 1987, VSS has managed eight private capital funds with aggregate committed capital of nearly $4 billion across 103 platform companies and over 600 add-on acquisitions.

VSS’s investment in Lumenci was from VSS Structured Capital IV, L.P. (“VSS SC IV”), a $530 million fund that had its final closing in December 2022. CEP is a private equity firm headquartered in Boston, MA, that partners with companies seeking investments to support growth or fund acquisitions, partial buyouts, or recapitalization opportunities.

Requirements

• 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.
• USPTO registered patent agent (registration number required), or 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
• 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
• 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)
• 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

Nice To Haves

• A rare combination of patent domain expert and AI practitioner
• Comfortable owning outcomes with minimal process, at any career stage from early-career to seasoned senior
• Someone who has worked with attorneys or IP teams and understands the real stakes of inaccurate legal AI output
• A builder with taste — you write specs engineers can implement and hold the bar on what ships to clients
• Collaborative and decisive; low-ego but confident enough to disagree with an attorney on claim scope and be right

Responsibilities

• 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
• 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
• 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
• 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

Benefits

• Comprehensive Health & Well-being: robust medical, dental, and vision insurance options that include significant company contributions toward employee premiums
• Retirement Strategy: 401(k) program with a competitive employer-matching contribution
• Performance-Based Incentives: variable pay component designed to reward both individual achievements (KRAs) and overall company success
• Time Off & Leaves: accrued Paid Time Off (PTO), designated company holidays, and additional "floating" holidays
• Holistic Wellness Support: dedicated Wellness Leave, paid leave for bereavement and parental bonding
• Culture of Autonomy & Growth: flexible, remote-first work environment, structured support for ongoing professional development and career advancement

What This Job Offers

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