About Commcise
Commcise offers independent, cloud-based, fully integrated commission management and research valuation solutions to buy-side and sell-side firms and research providers through its COMMCISEBUY, COMMCISESELL, and COMMCISECS product suite. Its clients include institutional asset managers, hedge funds, brokers, and research providers worldwide. Commcise is part of Euronext, a pan-European exchange in the Eurozone.
Responsibilities
•Own the AI product vision, strategy, and roadmap for the Commcise suite, aligned with commercial and client priorities
•Identify and prioritize high-value AI opportunities, deciding what to build and what not to build
•Translate opportunities into clear requirements, user stories, success metrics, and acceptance criteria, and deliver them through engineering teams
•Validate ideas and direction with clients and stakeholders, then measure adoption and business impact after launch
•Champion AI-assisted ways of working across product and engineering to improve speed and quality
•Drive AI-led improvements to testing and QA to reduce delivery bottlenecks
•Build support for change and spread good practice through influence and evidence
•Communicate persuasively with technical and non-technical audiences, building consensus through evidence and argument
•Stay current with AI developments and identify pragmatic, high-impact opportunities
•Balance ambition with feasibility, working with engineering on cost, risk, effort, and value trade-offs
Requirements
•Approximately 5–8 years in product management, technical product ownership, or a closely related role, with a track record of shipping successful products
•Demonstrable experience defining and delivering AI-powered product features, including understanding the capabilities of LLMs, RAG, and existing model APIs
•Strong product skills in opportunity identification, prioritization, requirements definition, and outcome measurement
•Technical fluency to work credibly with engineers, challenge trade-offs, and make sound decisions without writing code
•Excellent communication and presentation skills; able to influence, persuade, and build consensus through arguments
•Commitment to driving AI adoption across product and delivery
•Bachelor's or Master's degree in a technical, business, or related field, or equivalent practical experience
•Comfortable in a fast-paced, entrepreneurial environment; decisive, commercially minded, and outcome focused
•Strong collaboration, analytical, problem-solving, and critical-thinking skills; able to lead through influence across product, engineering, and business teams
Nice to have
•Experience applying AI to software testing and QA, including test generation, coverage, and automation
•Familiarity with AI-assisted development and product tools
•Experience delivering data or AI-powered products to clients via APIs
•Understanding of AI/LLM evaluation and quality measures
•Exposure to financial services or asset management
Conditions
Not specified in the posting.
