D

Datasite

M&A data rooms and deal management

Investment Banking Product Strategy Senior Associate

Product ManagementPosted on Nov 12
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • At least two years of hands-on front-office investment banking experience, including direct involvement in origination and live transaction execution, with personal contributions spanning several deals.
  • Strong understanding of investment banking workflows, including company and market research, pitches, valuation, diligence processes, and coordination, as well as how responsibilities, information needs, and decisions vary by seniority.
  • Hands-on experience using generative AI tools in financial research, analysis, deal workflows, or self-directed experimentation, with the ability to discuss testing, value, and limitations.
  • Ability to exercise judgment about source quality, accuracy, confidentiality, and where professional review is needed when using AI.
  • Ability to run impromptu whiteboard sessions and polished presentations and demonstrations for financial professionals, explain complex financial processes to colleagues without a banking background, and translate client needs into clear requirements.
  • Ability to engage senior stakeholders, navigate financial institution hierarchies, and build long-term relationships with key decision-makers.
  • Ability to take initiative, organize ambiguous work into concrete next steps, follow through, own a workstream with guidance, seek feedback, and work across product, engineering, sales, and client success.
  • Client and commercial judgment to ask useful questions, listen closely, and connect workflow improvements to measurable client outcomes.

Responsibilities

  • Collaborate with product teams to develop a library of AI-powered solutions tailored to financial institutions, turning recurring deal tasks into repeatable AI workflows and defining required data, steps to automate, and expected outputs.
  • Identify how data rooms, diligence tools, and market data can use AI to deliver agentic financial workflows; prioritize use cases and sequence delivery across products according to client value, dependencies, and feasibility.
  • Define standards for usable AI answers, build test cases from real deal scenarios, and flag outputs requiring source checks or professional review.
  • Run discovery sessions, demonstrations, and pilots with investment banks and private equity firms; explain AI capabilities and adapt workflows to client processes.
  • Gather and document client feedback, synthesize recommendations for product teams, and work with marketing to develop content reflecting financial professionals’ language and priorities.
  • Partner with sales and client success teams on workflow guides and onboarding; maintain regular client check-ins and track adoption, return on investment, and output quality to identify improvements.
  • Research AI in financial services, assess competing solutions, and identify opportunities for Datasite AI to address unmet client needs.

About the Company

Datasite

M&A data rooms and deal management

Datasite provides a subscription-based platform of secure data rooms and workflow tools for M&A deals. It supports all deal stages: diligence (sell-side), prepare, outreach, acquire (buy-side), pipeline, archive, and an AI-powered intelligence engine, plus extra apps. Secure data rooms streamline sharing and organization of sensitive deal information, with Project Pros offering hands-on setup, permissions, and dashboards, and a self-help library available. The company differentiates itself with end-to-end M&A workflows, proactive expert support, and AI-driven insights at scale, serving corporations, banks, law firms, private equity, and other industries worldwide, with the goal of helping clients close deals faster and more securely.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
St Paul, MN
Founded
1968

Recently Posted Jobs

Explore more opportunities at Datasite

See more jobs