Danielle Rosenthal

About

Danielle Rosenthal, outdoors on a tree-lined path.

Danielle Rosenthal

What I do

  • Products that improve human outcomes

    Software, something you can hold, a service or a whole business. People use it because it helps, and their days are better as a result.

  • Organizational design

    Everyone can excel in the seat they’re in.

  • Team capacity

    The team has room for change, for ambiguity, for hard things and for more good.

  • Systems design

    The whole workflow is mapped end to end, across every product line.

  • Design leadership

    The team can make the design call without me in the room.

  • Alignment

    Everyone describes the work the same way, inside the company and outside it.

  • Operational efficiency through AI

    Work that took an afternoon takes a few minutes.

Toolbox

  • Behavioral psychology
  • Systems thinking
  • Product discovery
  • Workflow mapping
  • Real-data prototypes
  • Rapid prototyping
  • Design systems
  • AI-native practice
  • Prioritization and judgment
  • Workshops and training
  • Executive storytelling

Record

  1. 2024–2026
    Head of ProductReliant RM · New York

    Owned product and client narrative for a low-code, AI-native platform for regulated teams. Mapped workflows, compliance requirements, operational constraints and AI interactions end to end, and connected separate product systems into one experience. Carried the prioritization and judgment from working prototype through to engineering.

  2. 2022–2023
    Head of ProductTradeLanes · San Francisco

    Repositioned the company from sales-led to product-led and realigned the organization behind it. Shipped AI-driven demand and supply planning. Built and coached the product managers, establishing the company’s product discipline through structured training in product theory and strategy.

  3. 2017–2022
    Head of ProductKountable · San Francisco

    Led the fintech portfolio and its product team, then launched an AI-enhanced multi-sided trade marketplace. Ran the counterparty risk and fraud program that decided whether a trade got financed, covering beneficial ownership, sanctions and PEP screening, adverse media and physical verification across every entity a transaction touched. Added behavioral and social engineering signals, captured by the verification team’s own app, to the same decision. Created the standard profile of how a counterparty performs, which became the language enterprise buyers used to evaluate the market.

  4. 2016–2017
    AnalystOrigin · London

    A platform for issuing bonds digitally, connecting the banks and companies that issue debt with the market infrastructure that processes it.

    Supported the CEO and CTO across the two-sided marketplace, from MVP through enterprise sales.

  5. 2013–2016
    Director of DevelopmentSunflower House · Kansas City

    Built proactive risk detection for child safety online in 2013, before platforms had Trust & Safety teams. The work moved from reactive case review to behavioral and social engineering signals surfaced ahead of an incident report. Designed new intervention and escalation pathways from detection to law enforcement referral. Led the development team that carried programs with grant funding from concept through deployment. Grew recurring funding and launched planned giving to sustain child protection programs.

Earlier

  • 2011–2013Program ManagerCrohn’s & Colitis Foundation of America
  • 2009–2011Product Marketing AssociateGlaxoSmithKline
  • 2008Territory Sales AnalystAltria
  • 2007Product Marketing AnalystFasone & Partners

Education

  • MBA in Finance, Avila University
  • BA in Marketing, University of Missouri – Columbia
  • Computer Science Apprenticeship, Hackbright AcademyFull-stack engineering and systems thinking.
  • Fintech Regulations Certificate, Fintech Academy AfricaCross-border payments, know-your-customer and anti-money-laundering rules, and the licensing that governs lending across borders.

Let’s work together

What are you working on?

Let’s talk LinkedIn
  • BuyersShowing a cautious buyer where the product fits in the work they already do
  • FeedbackTurning a pile of feedback into a plan the team can explain
  • DecisionsGetting decisions moving when they all wait on one person
  • AIMaking AI hold up when the buyer’s own leadership asks hard questions