Product & Customer Success Lead

Role Overview

We are looking for an experienced Product Specialist &Customer Success Manager Patent Search & Analytics with strong prior experience in Intellectual Property, patent search, patent analytics, and commercial patent intelligence platforms.

The ideal candidate should have approximately 10-15 years of relevant professional experience, with substantial hands-on exposure to patent search and analytics products used by patent professionals, R&D teams, legal teams, and corporate IP departments

Experience: 1015 years

Core domain: Patent Search / Patent Analytics / IP Intelligence

Customer-facing: Yes

Product/platform exposure: Mandatory

Product/AI evaluation: Strongly preferred

Travel: 30%40%

This person will act as the company's Subject Matter Expert and Key Opinion Leader for patent search and analytics and will work at the intersection of:

Patent Search & AnalyticsProduct ManagementAI/Search QualityBenchmark Dataset DevelopmentCustomer SuccessProduct Adoption

The candidate should bring knowledge and methodologies developed through previous experience with patent search and analytics platforms and use those insights to help design, benchmark, validate, and continuously improve our AI-native patent search and analytics product.

In addition, the individual will own important Customer Success responsibilities, working directly with customers to drive adoption, understand workflows, gather structured feedback, and translate customer requirements into product improvements.

Key Responsibilities Area:

Act as the organization's Subject Matter Expert and Key Opinion Leader forpatent search, patent analytics, and IP intelligence.

Based on prior professional experience, the candidate should be capable of independently developing, executing, evaluating, and reviewing complex patent search methodologies.

The candidate should have hands-on experience with:

Patentability / Novelty searchesPrior-art searchesFreedom-to-Operate searchesInvalidity / Validity searchesState-of-the-Art searchesTechnology landscape studiesCompetitor intelligencePortfolio analyticsWhite-space analysisTechnology trend analysisPatent monitoringClaim-focused searchingAssignee and inventor intelligence

The individual should be highly proficient in:

Boolean searchProximity operatorsTruncation and wildcard strategiesSynonym and concept expansionIPC/CPC/USPC classification searchingCitation searchingPatent-family searchingAssignee/inventor searchingClaims searchingSemantic searchingAI-assisted search methodologies

The candidate should understand where traditional search techniques perform better and were semantic, AI, vector-based, or hybrid search techniques can improve patent discovery.

Apply Previous Product Experience to Product Development

A key expectation of this role is that the candidate will bring practical knowledge gained from previously using or working with established patent search and analytics products.

The candidate will use this experience to:

Identify best practices used by leading patent search platforms.

Identify limitations and workflow gaps in existing patent search products.

Recommend functionality that improves researcher efficiency.

Compare different approaches to patent search and analytics workflows.

Help Product Management define differentiated product capabilities.

Identify features that professional patent researchers consider essential.

Evaluate whether new product capabilities meet professional search standards.

Identify unnecessary workflow complexity and opportunities for automation.

Recommend approaches for improving search-result relevance and usability.

The individual should be capable of explaining:

What established patent search platforms do well

Where current tools create friction for professional users

Which workflows can be significantly improved using AI

Which workflows still require expert human review

What capabilities are required for professional IP teams to trust an AI-enabled patent search platform

Product Management & Product Engineering Support

Work closely with Product Management, Engineering, AI/Data Science, UX, and Patent Data teams to translate professional patent-search workflows into product capabilities.

Responsibilities may include:

Define functional requirements for patent search and analytics capabilities.

Translate real-world patent researcher workflows into product requirements.

Participate in product discovery and requirement-definition sessions.

Review product specifications from an IP-domain perspective.

Participate in feature prioritization discussions.

Conduct acceptance testing of new features.

Validate search and analytics workflows before production release.

Identify edge cases based on prior professional experience.

Evaluate whether product workflows meet the needs of professional patent researchers.

Review AI-generated outputs for technical and IP-domain accuracy.

Provide domain .