About the role
## About Clairvolex Clairvolex is an AI-native intellectual property company built on a simple conviction: in IP, machines accelerate and experts decide. Everything it builds runs on the Clair Data Lake (CDL), one unified IP data foundation from which it has 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. Patent attorneys and IP experts sit in the loop on every output, which holds the models to a standard most GenAI products never face: a US attorney has to sign the result. Engineers work alongside IP experts, not downstream of them. ## About the role 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 the platform expands, Clairvolex is looking for a highly technical Product Manager to join its growing product team. The role suits someone who has moved 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 turn customer needs into scalable product capabilities for patent and IP professionals across the US and Europe. This is a hands-on role that needs real technical depth, product thinking and execution focus. Because the 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. **Business unit:** Clair AI Platform · **Reports to:** Product function lead · **Domain:** Intellectual property · **Location:** Bengaluru, India — hybrid, 3 days a week in office; in person for Review Week and leadership meetings ## What you will do ### Product planning & roadmap - Work with Product Leadership, Engineering, business stakeholders, customers and subject-matter experts to shape product roadmaps and turn 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 by customer value, business impact and technical feasibility. ### Product development - Drive product features through the full 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 with LLMs, retrieval-augmented generation (RAG), agentic workflows, document intelligence and automation. - 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. - Take part confidently in technical discussions about APIs, system architecture, AI workflows, data pipelines and 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 find new product opportunities. - Track adoption, customer satisfaction, usage metrics and business outcomes to drive continuous improvement. ### Stakeholder management - Collaborate across Product, Engineering, AI/ML, Design, QA, business units and domain experts to deliver successfully. - Communicate product priorities, feature progress, trade-offs and outcomes clearly to stakeholders. ## Qualifications & experience - A 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 moving into product management. - 3–6 years of overall experience (seven is the practical upper limit), including product management, 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. The ability to understand software architecture, APIs, AI workflows and technical trade-offs is essential. - Strong understanding of modern AI: large language models, retrieval-augmented generation, 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 in B2B SaaS product organisations. - Has taken one or more products or major product capabilities from concept through successful release. - Domain knowledge in legal tech, intellectual property, enterprise workflow automation, document intelligence or knowledge management is an advantage. ## Technical competencies - Comfortable in detailed technical discussions with engineering, making informed product decisions on architecture and implementation trade-offs. - Strong understanding of AI product development: LLMs, RAG, AI agents, prompt engineering, evaluation methodologies, AI guardrails and human-in-the-loop validation. - Experience with Jira, Confluence, Figma, Productboard (or equivalent), SQL, analytics platforms and Agile product development. - Able to write detailed user stories, acceptance criteria, product specifications and release plans with real technical depth. ## Behavioural competencies - Curious, hands-on and intellectually rigorous, with a genuine passion for technology, AI and hard customer problems. - Excellent analytical and structured problem-solving, with the ability to simplify complex technical and business challenges. - Strong communication and stakeholder management across Product, Engineering, AI/ML, Design, Sales, QA and domain experts. - Comfortable with ambiguity, making data-informed decisions and iterating quickly on customer feedback and product learnings.
Skills: Product Management, AI Products, LLMs, RAG, AI Agents, AI Evaluation, Guardrails, Human-in-the-loop, B2B SaaS, Product Roadmap, User Stories, Agile, Jira, Confluence, Figma, SQL, Document Intelligence, LegalTech