Company Description
Clairvolex is an AI-native intellectual property company built on a simple conviction: in IP, machines accelerate and experts decide. Everything we build runs on the Clair Data Lake (CDL), one unified IP data foundation from which we have built a growing family of products, Clair IDS, Clair Docket Assist, Clair Drafter, and Clair Decision Intelligence. Same architecture, same data, each product compounding the last. You will not be shipping a single AI feature; you will be building on a platform, working on multi-agent orchestration, RAG, and knowledge graphs against some of the hardest document reasoning problems in enterprise AI.
The work is also graded. Our patent attorneys and IP experts sit in the loop on every output, which holds our models to a standard most GenAI products never face: a US attorney has to sign the result. Engineers here work alongside IP experts, not downstream of them. If you want to build AI where correctness genuinely matters, this is where to do it. www.clairvolex.com.
Role Description:
Clairvolex is an AI-native IP solutions company. The Clair AI Platform, spanning Clair IDS, Clair Docket Assist, Clair Response Drafter, and Clair Insights, is built on the Clair Data Lake of 27M+ enriched prosecution records and applies large language models and agentic workflows to the most demanding tasks in patent and trademark prosecution.
As Clair continues to expand its AI Platform, we are looking for a highly technical Product Manager to join our growing Product Management team. This role is ideal for someone who has evolved from software engineering into product management and enjoys building AI-first enterprise products. You will work closely with Product, Engineering, AI/ML teams, patent domain experts, and business stakeholders to translate customer needs into scalable product capabilities for patent and IP professionals across the US and Europe.
This is a hands-on role requiring strong technical depth, product thinking, and execution focus. You should be comfortable partnering closely with engineering teams, understanding technical architecture, and driving AI-enabled products from concept through continuous improvement.
Because our products generate legal work product, correctness is not negotiable. You will help define product requirements, validation approaches, and quality measures for AI systems where accuracy, explainability, and expert validation matter as much as innovation.
Job Responsibilities:
Product Planning & Roadmap
- Work with Product Leadership, Engineering, business stakeholders, customers, and subject matter experts to shape product roadmaps and translate strategic priorities into executable product plans.
- Conduct customer discovery, market research, and competitive analysis to identify and size product opportunities.
- Translate customer needs into clear product requirements and prioritise initiatives based on customer value, business impact, and technical feasibility.
Product Management
- Drive product features through the complete lifecycle—from discovery and requirements through launch and continuous improvement.
- Define detailed product requirements, user stories, acceptance criteria, and measurable success metrics.
- Work with AI and engineering teams building products using LLMs, Retrieval Augmented Generation (RAG), agentic workflows, document intelligence, and automation technologies.
- Help define evaluation criteria, quality benchmarks, guardrails, human-in-the-loop validation, and acceptable failure modes for AI-powered features.
- Partner with engineering on evaluation frameworks and quality metrics so model behaviour is measured, monitored, and continuously improved.
SME Validation & Quality
- Work closely with patent subject matter experts and QA teams to validate AI-generated outputs.
- Translate expert feedback into structured product requirements, evaluation datasets, test scenarios, and continuous product improvements.
- Help build robust validation processes that ensure enterprise-grade quality and trust in AI-generated outputs.
Engineering Collaboration
- Partner closely with software engineers, AI engineers, architects, UX teams, and Product Leadership throughout the product development lifecycle.
- Participate confidently in technical discussions involving APIs, system architecture, AI workflows, data pipelines, and product implementation decisions.
- Translate complex customer and business problems into well-defined engineering requirements and product specifications.
- Support sprint planning, backlog refinement, release planning, and Agile ceremonies.
- Proactively identify risks, dependencies, and delivery roadblocks.
Customer & Market
- Partner with Product Leadership and customer-facing teams to understand enterprise customer workflows and evolving business needs.
- Monitor market trends, emerging AI technologies, and competitor offerings to identify new product opportunities.
- Track product adoption, customer satisfaction, usage metrics, and business outcomes to drive continuous improvement.
Stakeholder Management
- Collaborate effectively across Product, Engineering, AI/ML, Design, QA, Business Units, and domain experts to ensure successful product delivery.
- Communicate product priorities, feature progress, trade-offs, and outcomes clearly to stakeholders.
Competencies
Technical
- Comfortable participating in detailed technical discussions with engineering teams and making informed product decisions involving architecture and implementation trade-offs.
- Strong understanding of AI product development including LLMs, RAG, AI agents, prompt engineering, evaluation methodologies, AI guardrails, and human-in-the-loop validation.
- Experience with Jira, Confluence, Figma, Product board (or equivalent), SQL, analytics platforms, and Agile product development practices.
- Ability to write detailed user stories, acceptance criteria, product specifications, and release plans with sufficient technical depth.
Behavioural
- Curious, hands-on, and intellectually rigorous, with a genuine passion for technology, AI, and solving complex customer problems.
- Excellent analytical and structured problem-solving skills with the ability to simplify complex technical and business challenges.
- Strong communication and stakeholder management skills with the ability to collaborate effectively across Product, Engineering, AI/ML, Design, Sales, QA, and domain experts.
- Comfortable working with ambiguity, making data-informed decisions, and iterating rapidly based on customer feedback and product learnings.
Experience:
- 6–8 years of overall experience, including Product Management experience, with a prior foundation in software engineering.
- Experience building or managing AI/ML-powered SaaS products in a product company or AI-first startup serving international customers.
- Demonstrated experience working closely with engineering teams to deliver technically sophisticated software products. Ability to understand software architecture, APIs, AI workflows, and technical trade-offs is essential.
- Strong understanding of modern AI technologies including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI agents, prompt engineering, evaluation frameworks, and AI guardrails.
- Experience building products for enterprise customers in North America and/or Europe is strongly preferred.
- Proven experience working in B2B SaaS product organisations.
- Experience taking one or more products or major product capabilities from concept through successful release.
- Domain knowledge in LegalTech, Intellectual Property, enterprise workflow automation, document intelligence, or knowledge management platforms will be an advantage.
Education:
- Bachelor's degree in Computer Science or Computer Engineering (B.Tech./B.E.) from a reputed institution is mandatory. Candidates should have started their careers as software developers or engineers before transitioning into Product Management.
Location - Bangalore / Gurgaon, India
Work Mode - Hybrid (3 days in office). In-person presence required during Review Week and Leadership meetings.
