Innovation Product Specialist

About the Role We are seeking a Product Specialist to accelerate the delivery, quality, and adoption of a GenAI‑native platform for the financial services industry. This is a hands‑on, high‑ownership opportunity where you’ll help bring a 0‑to‑1 product vision to life—turning new capabilities into real workflows that teams can trust and adopt. You’ll work day‑to‑day with product management, engineering, data, and customer teams to turn prioritized use‑cases into clear requirements, shippable increments, and production‑ready capabilities—balancing speed, trust, and operational rigor. Responsibilities Own and govern a prioritized feature portfolio—making tradeoffs explicit and keeping delivery focused. Translate problem statements into crisp requirements (user stories, acceptance criteria, edge cases) for design and engineering. Partner with product leadership to continuously refine prioritization based on customer feedback, delivery learnings, and risk. Maintain and communicate the roadmap, ensuring dependencies, milestones, and release readiness are visible. Drive sprint planning, backlog refinement, and release readiness to keep teams shipping predictably. Act as the day‑to‑day point of clarity for engineers and designers—answering questions, resolving edge cases, and documenting decisions. Coordinate UAT and rollout validation, ensuring what we ship meets user expectations and operational constraints. Support user and client onboarding, ensuring teams reach value quickly and consistently. Contribute to training materials, release notes, and documentation that scale product understanding. Build and maintain a living knowledge base (workflows, FAQs, decisions) that reduces friction for users and internal teams. Support data creation and preparation activities that improve model performance and product reliability. Create and curate structured knowledge assets that power GenAI experiences (taxonomy, reference data, examples). Requirements 3+ years in product operations, business analysis, or delivery support within financial services operations and/or data operations (e.g., ETL, reconciliations, data quality, file‑based processing). Hands‑on experience in agile delivery (sprint planning, backlog refinement, demos, retrospectives). Excellent written communication and documentation skills (requirements, workflows, test artifacts). Comfort collaborating with both technical and non‑technical stakeholders; able to translate between business outcomes and implementation details. Analytical mindset and strong attention to detail; able to spot gaps, risks, and inconsistencies before they become defects. Strong stakeholder management—you can say “no” (or “not yet”) diplomatically while maintaining trust and momentum. Comfort with ambiguity—requirements evolve; you create clarity rather than wait for it. Customer empathy—genuine curiosity about user needs and workflows, not just managing a backlog. Nice to Have Exposure to AI, analytics, or data‑driven products (GenAI use cases, ML features, dashboards, experimentation). Understanding of financial messaging and data exchange patterns (e.g., SWIFT, file transfers via FTP/SFTP). Familiarity with capital markets data domains and platforms (e.g., ABOR/IBOR). Exposure to testing/QA practices (test cases, UAT support, defect triage). Benefits Category‑defining work – AI‑native data integration and transformation for financial services. Enterprise backing, startup speed – the credibility, domain expertise, and runway of an established enterprise combined with the pace of a startup. Foundational team – you’ll be among the first in‑house hires, setting architecture, culture, and standards. Competitive package – market‑rate salary and comprehensive benefits. Equity is available for select roles. Poland‑based team members receive private healthcare (Medicover or Luxmed), Multisport card, home office setup budget, and professional development budget. Salary Range $100,000 – $150,000 base salary + annual target bonus. We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn’t followed a traditional path, includes alternative experiences, or doesn’t meet every qualification or skill listed in the job description, please do go ahead and apply. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law. #J-18808-Ljbffr