Opportunity DetailsQRR-4826
Product Manager, Qnect IQ / Quanta (Semantic AI Layer)United States - Remote
Product Manager - Qnect IQ/Quanta Location: Houston, Texas (preferred) or United States - Remote Model of Work: Hybrid if located in Houston, TX or Remote with Travel if the work location is United States - Remote Overview We're looking for a Product Lead to shape and bring to market Qnect IQ / Quanta, the contextual and semantic AI layer within Quorum's ecosystem. The product brings together documents, events, and data from our data platform, connects information to the business entities and concepts it describes, and makes that context useful to people, applications, and AI agents.
You will own product direction, customer discovery, priorities, and go-to-market execution in partnership with engineering and commercial teams. You will turn an existing product and a broad set of capabilities into focused customer experiences that solve valuable problems. You will decide where to start, what to deliver next, and how to measure whether customers find it useful and worth paying for.
This is a hands-on role in a small team. You will talk with customers, explore workflows, build demonstrations and prototypes, write clear requirements, test what ships, and help customers get value from it. We're looking for someone who has worked in a startup or similarly small product team and is comfortable moving between product strategy and the details of delivery.
Responsibilities - Own product direction and the roadmap, balancing customer value, commercial opportunity, engineering capacity, and dependencies across Quorum's ecosystem.
- Work directly with customers, users, and internal product teams to understand their workflows, validate problems, and identify where connected information and AI can improve their work.
- Select focused use cases for pilots and early releases, define success criteria, and use feedback and observed usage to decide what to expand, change, or stop.
- Define product requirements, user journeys, and acceptance criteria, and work with engineering to prioritize and deliver features that meet customer needs.
- Shape capabilities across ingestion, document extraction, contextual relationships, search, cited answers, and knowledge access for applications and agents.
- Build prototypes and demonstrations, review delivered features, and coordinate customer onboarding and feedback with engineering, QA, and Customer Success.
- Lead product positioning and go-to-market planning with Sales, Marketing, and Customer Success, including target use cases, value propositions, demonstrations, and launch materials.
- Work with commercial and platform teams on packaging, pricing, and AI-credit usage, balancing customer value with the cost of delivering AI capabilities.
- Define and track product outcomes, including activation, successful task completion, repeat usage, customer value, consumption, and willingness to pay. Use the evidence to guide priorities.
- Coordinate dependencies and launch readiness with platform, data, security, and operations teams, including access permissions and customer-data handling.
- Communicate priorities, progress, decisions, and risks clearly to customers and internal stakeholders.
- Product Lead, Qnect IQ / Quanta 2
- And other duties as assigned.
Requirements - Experience owning a B2B software product or significant product area from discovery through delivery, launch, and customer adoption.
- Experience in a startup or small product team, with direct responsibility for both defining the product and helping bring it to market.
- Strong customer discovery skills, including turning interviews, workflow observations, and usage evidence into clear product decisions.
- Ability to work closely with engineers on APIs, integrations, data flows, and technical tradeoffs, and translate those details into customer-facing outcomes.
- Practical understanding of AI-enabled products, including how data quality, context, retrieval, model limitations, permissions, and cost affect the user experience.
- Experience defining requirements and acceptance criteria, prioritizing a backlog, and validating delivered functionality with users.
- Experience developing product positioning, supporting demonstrations and launches, and working with commercial teams to validate demand.
- Ability to select meaningful metrics, interpret results, and adjust direction when evidence challenges an assumption.
- Hands-on use of AI tools for product research, analysis, prototyping, or delivery, with judgment about how to validate their output.
- Clear written and verbal communication, independent judgment, and the ability to work through ambiguity across a distributed team.
Preferred Skills - Experience with enterprise search, document intelligence, knowledge management, semantic data, or AI agents.
- Experience with event-driven products, data platforms, APIs, or shared capabilities used by multiple applications.
- Experience with consumption-based pricing, AI credits, or the economics of AI-enabled services.
- Experience building functional prototypes using AI coding tools or working directly with APIs and data.
- Familiarity with energy-sector workflows or enterprise software for the energy industry.
Additional Details - Salary commensurate with experience ($100,000 - $176,900 US Dollars) with bi-weekly pay via direct deposit. Posted salary ranges are made in good faith. Quorum Software reserves the right to adjust ranges depending on the qualifications, experience, training, work history, and geographic location of the selected candidate.
- Background Check : The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver's License Verification and passport/ID validation.
- Visa Sponsorship : Employment eligibility to work with Quorum Software in the United States is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.
