Apply on Employer Site

Neuberger Berman · 11 hours ago

Technical Product Manager - Investment Technology

New York, NY

Full-time

Onsite

Mid Level

$115K/yr - $130K/yr

4+ years exp

Neuberger Berman is seeking a technically strong, self-directed Technical Product Manager for their Investment Technology team. The role involves building and scaling products for portfolio managers and research analysts, translating workflows into data-driven solutions, and managing the product lifecycle from discovery to delivery.

BankingBusiness DevelopmentFinanceFinancial Services

Culture & Values

No H1B

Responsibilities

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

Qualification

Product managementData fluencySQLSnowflakePythonTableauPortfolio management workflowsModern SDLCDevOpsGenerative AI exposureBachelor's degree

Required

4+ 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

Preferred

Exposure to generative AI/agentic frameworks and their practical application in research and investment workflows is a plus (prompt engineering, RAG, orchestration, evaluation)