Neuberger Berman-posted 4 days ago
$140,000 - $170,000/Yr
Full-time • Mid Level
Hybrid • New York, NY
1,001-5,000 employees

Neuberger Berman’s Investment Technology team is seeking a technically strong, self-directed Technical Product Manager to build and scale products that serve portfolio managers and research analysts. You will translate investment workflows into robust, data-driven solutions, partnering closely with engineers, data teams, and strategic vendors. You’ll drive the product lifecycle end-to-end, from discovery and design through delivery and adoption, grounded in measurable impact for the investment platform.

  • Serve as the principal liaison between investment stakeholders (PMs, analysts, risk, trading) and engineering, translating needs into clear product requirements and roadmaps.
  • Run structured discovery (interviews, journey mapping, prototyping) to validate problems, scope solutions, and de-risk delivery.
  • Manage key vendors, prioritize deliverables, and handle escalations.
  • Lead solution architecture in partnership with engineering and data, producing high-quality PRDs, sequence diagrams, data contracts, and acceptance criteria.
  • Oversee product timelines, dependencies, and tradeoffs; escalate and resolve blockers proactively.
  • Support live platforms: triage issues and drive continuous improvement.
  • Monitor and measure the success of implemented solutions, using data-driven insights to iterate and improve the platform.
  • Prioritize backlogs and manage releases; drive ceremonies across the SDLC with modern DevOps practices.
  • 7+ years of experience in product management, business analysis, and solution design.
  • Proven experience in product management or equivalent, particularly in financial services
  • Strong data fluency: data modeling concepts, market/reference/pricing data, and integration patterns (files, APIs, streaming).
  • Hands-on with SQL and Snowflake; proficiency with Python for analysis/prototyping and Tableau (or similar BI) for visualization.
  • Familiarity with portfolio management workflows (e.g., idea generation, research management, PM workflows, portfolio construction, performance/attribution, risk, compliance) and how data flows across them.
  • Experience with modern SDLC and DevOps (agile practices, CI/CD, testing strategies, observability).
  • Bachelor’s degree in a technical or quantitative field (CS, Engineering, Finance, or related) or equivalent experience.
  • Exposure to generative AI/agentic frameworks and their practical application in research and investment workflows is a plus (prompt engineering, RAG, orchestration, evaluation).
  • We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.
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