Technical Product Lead - AI Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Lead - AI Platform based in United States.

This is a senior, hands-on product leadership opportunity at the intersection of patent intelligence, enterprise software, and generative AI.
You will own the full product lifecycle of an AI-powered platform serving sophisticated legal and intellectual property teams.
The role combines product strategy with deep involvement in LLM workflow design, evaluation, quality, and delivery.
You will translate complex patent-domain requirements into scalable AI workflows that engineers can implement and clients can trust.
A major focus will be ensuring accuracy, reducing hallucinations, and establishing rigorous evaluation standards for legal AI outputs.
You will work directly with engineering teams, attorneys, enterprise clients, and senior stakeholders in a highly autonomous environment.
The position is fully remote in the U.S. and offers substantial ownership over product direction, technical decisions, and innovation.

Accountabilities

• Own the product strategy, roadmap, prioritization, and quarterly objectives for an AI-powered patent intelligence platform, balancing client value, competitive opportunities, engineering feasibility, and available resources.
• Identify underserved customer segments and develop product opportunities that expand the platform's reach across law firms, corporate IP teams, and other professional users.
• Define API-first and integration strategies and coordinate product dependencies across full-stack, platform, security, and other technical teams.
• Design LLM workflows by developing system prompts, tool definitions, structured output specifications, and multi-step agent architectures for complex patent-analysis use cases.
• Establish evaluation frameworks and rubrics for AI workflows, maintain versioned prompt libraries, and continuously improve outputs using evaluation data, expert feedback, and hallucination analysis.
• Act as the final quality gate for AI-generated patent intelligence, ensuring outputs meet the professional accuracy standards expected by sophisticated legal and corporate IP users.
• Build and maintain gold-standard evaluation datasets based on attorney-reviewed ground truth and use them to benchmark and improve AI workflows.
• Investigate and escalate legal accuracy risks, including fabricated citations, incorrect claim interpretation, scope inflation, and jurisdictional inconsistencies.
• Work directly with clients and legal professionals to gather feedback, demonstrate new capabilities, manage expectations, and translate real-world needs into product and engineering requirements.
• Lead an async-first, outcome-oriented delivery model focused on shipping high-value capabilities efficiently, while using automation and AI-generated reporting to reduce unnecessary process overhead.
• Make technical tradeoff decisions involving accuracy, latency, cost, context windows, caching, model selection, and data freshness.
• Manage relevant budgets, vendors, AI providers, data providers, and product tooling while maintaining disciplined technical and operational practices.

Requirements

• 3–10 years of combined experience across patent-domain work and B2B SaaS product management, with a preference for 5+ years in B2B SaaS product management and at least 2 years in a domain with significant legal or regulatory accuracy requirements.
• USPTO-registered patent agent status or a JD with substantial patent prosecution or litigation experience.
• At least 3 years of hands-on experience with claim charts, invalidity contentions, freedom-to-operate analyses, office action responses, or comparable patent-analysis work.
• Strong knowledge of patent concepts including claim construction, infringement and invalidity analysis, prior art under §§102/103, prosecution history, §112 issues, portfolio strategy, and related IP workflows.
• Familiarity with patent analytics and research platforms such as Patlytics, Derwent Innovation, Orbit Intelligence, PatSnap, or Google Patents Advanced.
• Demonstrated experience shipping AI-powered products or features for enterprise legal, IP, or similarly high-accuracy professional environments.
• Strong understanding of LLM architecture, including context windows, temperature, sampling, prompt engineering, structured outputs, tool/function calling, and hallucination mitigation.
• Hands-on knowledge of multi-step agent architectures using technologies such as LangGraph or equivalent frameworks.
• Experience with LLM evaluation methodologies, golden datasets, LLM-as-judge approaches, legal accuracy metrics, and platforms such as Braintrust or equivalent tools.
• Ability to understand and manage AI cost, latency, scalability, and performance tradeoffs, including prompt caching, token economics, batching, and context management.
• Comfort working with tools such as Anthropic Claude API, LangSmith, LangGraph, GitHub, JIRA, or comparable technologies.
• Ability to write precise product and LLM workflow specifications that engineering teams can implement with minimal clarification.
• Strong client-facing communication skills, including the ability to demonstrate products, handle challenging technical and legal questions, and incorporate expert feedback.
• Demonstrated ability to operate independently in an async-first environment without relying on a dedicated Scrum Master or QA team.
• Excellent judgment, prioritization, communication, and stakeholder-management skills, with the confidence to challenge assumptions when necessary.
• A technical undergraduate degree in engineering, computer science, chemistry, biology, or a related field is preferred.
• Direct experience collaborating with patent attorneys, major law firms, or in-house intellectual property teams is strongly valued.

Benefits

• Compensation: Expected total annual compensation of $135,000–$275,000 , potentially including base salary and eligible variable compensation.
• Compensation may vary based on geographic location, market conditions, patent credentials, AI/LLM production experience, and overall seniority.
• Health & well-being: Medical, dental, and vision insurance with significant employer contributions toward employee premiums.
• Retirement: 401(k) program with a competitive employer match.
• Performance incentives: Variable compensation tied to individual performance and overall organizational success.
• Time off: Accrued paid time off, company holidays, and additional floating holidays.
• Wellness: Dedicated wellness leave supporting physical and emotional well-being.
• Life-event support: Paid leave for parental bonding and bereavement.
• Work arrangement: Fully remote, flexible work environment designed around autonomy and ownership.
• Professional growth: Merit-based advancement opportunities, mentorship, professional development, and resources to support career progression.
• Global collaboration: Opportunity to work with a distributed, multicultural team and collaborate with colleagues and clients across regions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.