Associate Product Manager - Platform & Data

What You’ll Do Shape products from idea to impact: Own initiatives across the full lifecycle, from discovery and requirements gathering through testing, release, and post-launch evaluation. Translate needs into clear direction: Turn business needs and client feedback into crisp product requirements, user stories, acceptance criteria, process flows, and technical documentation that engineering can build from. Help build what’s next in AI: Partner with engineering and data science to identify and prioritize AI use cases and bring them to life through semantic search, large language models, retrieval-augmented generation, agentic workflows, and Model Context Protocol integrations. Raise the bar on AI quality: Define what “good” looks like for AI-powered features, evaluating output quality, retrieval relevance, accuracy, hallucination risk, latency, cost, security, and real user feedback. Be the connective tissue across teams: Collaborate daily with engineering, data, data science, QA, operations, and client-facing teams to keep initiatives moving and aligned. Champion data you can trust: Dig into the details with strong analytical rigor, keeping a close eye on data accuracy, consistency, and completeness across the platform. Get hands-on with the data: Work directly with SQL, databases, data pipelines, APIs, and other data-delivery tools to understand and improve how data moves through the platform. Juggle priorities like a pro: Manage multiple workstreams at once, spot dependencies and risks early, and drive initiatives to the finish line. Make the complex simple: Communicate clearly across audiences, explaining technical and AI-related concepts in ways that resonate with nontechnical stakeholders and clients alike. What We’re Looking For Experience & education: 2–3 years of experience in product management, business analysis, data, financial services, software development, or a related field, plus a bachelor’s degree or equivalent practical experience. We welcome candidates with more technical backgrounds: Including developers or engineers looking to transition into product — who bring strong analytical instincts and a genuine interest in product work. Product fundamentals: Some experience translating business needs and client feedback into clear requirements and documentation, and helping guide a project from idea through launch. Curiosity about AI: Familiarity with or interest in AI, machine learning, or generative AI concepts (semantic search, LLMs, RAG, agentic workflows) and enthusiasm for learning how to evaluate and improve AI-powered features. Critical thinking & technical comfort: Strong analytical and problem-solving instincts, along with working knowledge of SQL and a willingness to get comfortable with databases, data pipelines, and APIs. Cross-team collaboration: A collaborative mindset and interest in working closely with engineering, data, data science, QA, operations, and client-facing teams while juggling multiple priorities. Communication: Strong written and verbal skills, with the ability to explain technical and AI-related concepts to nontechnical stakeholders. Nice to have: Experience with commercial real estate, CMBS, or structured finance; cloud and data platforms such as AWS, Snowflake, or vector databases; tools like Jira, Confluence, GitHub, or Postman; or experience evaluating AI/ML models and datasets. Salary Range: Base salary of $120,000 plus bonus eligible Benefits and Perks Base + target bonus compensation structure 401K (with employer match) Life insurance, long term disability, short term disability all covered by the company Flexible paid time off (PTO) Sixteen (16) weeks paid primary caregiver leave (Biological, adoptive, and foster parents are all eligible) Four (4) weeks paid parental leave Laptop + WFH equipment Pre-tax commuter benefit with company subsidy (For NYC-office based employees only) Involvement in Diversity and Inclusion programs Fun company events and volunteering opportunities Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). Workplace Policy NYC, PA, and London office-based positions: Trepp’s offices follow a 3-2 hybrid-working policy with the expectation of in-office work on Tuesday-Thursday and the option to work from home on Monday and Friday. Trepp maintains a drug-free workplace. About Trepp Trepp, Inc. founded in 1979, is the leading provider of information, analytics and technology to the CMBS, commercial real estate and banking markets. Trepp provides primary and secondary market participants with the web-based tools and insight they need to increase their operational efficiencies, information transparency and investment performance. Trepp serves its clients with products and services to support trading, research, risk management, surveillance and portfolio management. Trepp is wholly-owned by DMG Information, a division of the Daily Mail and General Trust (DMGT). #J-18808-Ljbffr Trepp, Inc.