Varun Sridhar

Varun Sridhar

New York, NY

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varunssridhar@gmail.comlinkedin.com/in/varunsridharvarunsridhar.com

Product leader with 10+ years building lending, credit and payments products, from zero-to-one at a startup to scale at a global bank. Hands-on builder of production AI agents and the financial workflows around them.

Experience

  • VP of Product2022 – Present
    Gynger Inc.New York, NY
    • 0→1 & Scale: Joined as employee #3 to lead the end-to-end product lifecycle for an AI-powered financing and payments platform, scaling it from initial launch to nearing 8-figures in revenue. Lead a team of 3.
    • AI Agents: Architected Gynger's first AI agents, turning offer creation, underwriting and collections into multi-step autonomous workflows. Designed a defined routing hierarchy with human escalation for exceptions, and let vendors set underwriting policy in natural language. Wrote the specs and eval framework end to end; went from prototype to GA in 3 months.
    • Financing Suite: Launched embedded financing in early 2023, built on an advanced underwriting model composed of many sub-policies; has facilitated $200M+ in originations.
    • Revenue Automation: Led the mid-2024 launch of a suite that unifies AR workflows through deep ERP and CRM integrations across quote-to-cash, and lets tech vendors offer flexible payment options to their customers.
  • Vice President and Lead PM2021 – 2022
    Morgan StanleyNew York, NY
    • Scaled the Tailored Lending platform to support high 9-figure annual revenue, driving a 26% CAGR by optimizing credit workflows and digital borrower experiences.
    • Led a multi-platform global initiative to transition the multi-billion dollar loan book to Fed-mandated Alternative Reference Rates (SOFR), ensuring regulatory compliance and mitigating systemic risk.
  • Product Manager2015 – 2020
    Morgan StanleyNew York, NY / Montreal, QC
    • Owned the end-to-end lifecycle of loan origination and servicing, managing initiatives across distributed teams in the US, India and Canada and a range of stakeholders.
    • Launched a multi-collateral loan product, growing revenue $5M+ annually.
    • Deployed a new loan origination system, driving 40% YoY loan volume growth.
    • Automated servicing workflows and integrated APIs, cutting loan booking time 60%.
  • Tech and Data Business Analyst, InternSummer 2014
    Morgan StanleyNew York, NY

Skills and Expertise

AI Product: LLM evals & prompt design, agent workflow architecture, LangSmith, Claude Code & Cowork, rapid prototyping

Technical: Python, SQL, Figma, GraphQL, API tools, Retool, JIRA

Leadership: Strategy & roadmapping, 0→1 launch, team management, stakeholder alignment, risk & compliance

Education

  • University of Pennsylvania2013 – 2015

    M.S. in Systems Engineering, GPA: 3.94/4.0

    • Wharton research assistant: built machine learning models predicting TV viewership from social network data.
  • Netaji Subhas Institute of Technology, University of Delhi2009 – 2013

    B.E. in Electronics and Communication Engineering, First Division with Distinction

    • Summer research intern at Carnegie Mellon University (2012): developed a feature extraction algorithm with 96% classification accuracy on low-resolution images.