G

Growth Protocol

Enterprise reasoning platform for auditable decisions

Enterprise Account Executive - Insurance

Full-Time
No salary listed
Senior
New York, NY, USA
HybridOffice attendance is required 2–3 days per week.
Sales & Account ManagementAccount Executive

About the job

Requirements
  • At least 7 years of enterprise software-as-a-service sales experience, including substantial experience selling to insurance carriers, managing general agents, or reinsurers.
  • A track record of closing six- and seven-figure annual recurring revenue deals in regulated environments.
  • Experience selling to underwriting, claims, actuarial, and C-suite insurance buyers.
  • Knowledge of loss ratios, combined ratios, treaty reinsurance, and differences among lines of business.
  • Familiarity with insurer core systems such as Guidewire, Duck Creek, Sapiens, or similar platforms, and how artificial intelligence fits alongside them.
  • Understanding of enterprise data architecture, especially in unclean client-data environments.
  • Familiarity with Life, Property and Casualty, and Health Insurance providers.
  • A history of multi-threading large, complex carrier accounts.
  • The executive presence to engage effectively with a board.
  • Ability to discuss artificial intelligence, machine learning, data architecture, and model explainability without a script.
  • Ability to whiteboard architecture or underwriting logic for a Chief Underwriting Officer or Chief Actuary.
  • Fluency in insurance executives’ terminology concerning growth, loss ratio, and regulatory risk.
  • Ability to turn executive curiosity into a structured initiative.
  • Comfort with technical and actuarial complexity.
  • Ability to co-sell with senior leadership and partners.
  • Residence in the New York City area and ability to work in the office two to three times per week.
Responsibilities
  • Own full enterprise sales cycles into carriers, managing general agents, and reinsurers, typically lasting three to nine or more months.
  • Drive revenue generated through channel partners.
  • Maintain accurate forecasts and provide leadership with visibility into deals.
  • Orchestrate technical discovery with underwriting, claims, actuarial, and data teams.
  • Deliver demonstrations built around Property and Casualty, specialty, and commercial-lines use cases.
  • Support information security and regulatory validation as deals move toward closing.
  • Convert pilots into multi-year agreements across lines of business.
  • Use a personal network to build pipeline with business development representative support.
  • Partner directly with the Head of Business Development and Insurance Head on major carrier and managing general agent pursuits.
  • Lead deal orchestration across underwriting, claims, actuarial, data, and information technology stakeholders.
  • Carry deals from the first executive conversation through full rollout across lines of business.
  • Build relationships across C-suite leaders, the Chief Actuary’s office, and boards at carriers, managing general agents, and reinsurers.
  • Identify internal champions within underwriting, claims, and data teams.
  • Connect technical stakeholders in data science, information technology, and information security with business stakeholders in underwriting, distribution, and product.
  • Explain architecture, scalability, application programming interface integrations, security, and coexistence with Guidewire, Duck Creek, or Sapiens to information technology stakeholders.
  • Explain loss ratio, combined ratio, capital allocation, reinsurance treaty impact, and growth into new lines to finance and C-suite stakeholders.
  • Explain submission triage, quote-to-bind acceleration, and claims-cost reduction to underwriting and claims stakeholders.
  • Address model explainability, regulatory defensibility, and forecasting accuracy with compliance stakeholders.
  • Explain neural networks’ use of unstructured submission, claims, and loss data.
  • Explain how symbolic reasoning layers encode underwriting rules, appetite, and regulatory logic.
  • Explain how the neuro-symbolic combination produces auditable underwriting and pricing decisions.
  • Explain validation of forecasts against actuarial standards.
  • Explain data movement among carrier data lakes, rating engines, and core systems.
  • Address security and data governance in a regulated insurance environment.

About the company

Growth Protocol builds an enterprise reasoning platform that serves as a governed surface for decision-making. It uses a neuro-symbolic AI engine that combines neural outputs with symbolic business rules and an ontology of commercial logic to generate explainable, auditable recommendations. The system connects models, agents, workflows, and enterprise data, records evidence and rationale as decision memory, and executes actions within the customer’s governed data environment. Its goal is to help large enterprises make profitable commercial decisions with transparent, auditable reasoning, differentiating itself by deterministic, auditable decision-making rather than purely generative outputs.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • March 19, 2026 Databricks partnership opens governed-data workflows across its installed enterprise base.
  • EY and Fortune 500 pilots validate demand for explainable pricing, portfolio, and go-to-market decisions.
  • Hiring in June 2026 and Mexico City expansion show active go-to-market scaling.

What critics are saying

  • Private preview until Q2 2026 delays revenue and invites competitors like Databricks and OpenAI.
  • No disclosed funding signals thin balance-sheet risk if enterprise sales cycles slip in 2026.
  • Heavy consulting-style deployments create services drag; one failed flagship client damages category trust.

What makes Growth Protocol unique

  • Neuro-symbolic AI combines explainable logic with neural models for auditable enterprise decisions.
  • Databricks SDK runs inside customer notebooks, keeping governed data in-place.
  • EY partnership gives Growth Protocol credibility with large consulting-led enterprise rollouts.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Remote Work Options

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

15%

1 year growth

15%

2 year growth

10%
PR Newswire
Mar 19th, 2026
Growth Protocol partners with Databricks to enable explainable AI on enterprise data via Delta Sharing

Growth Protocol has partnered with Databricks to enable enterprises to run its neuro-symbolic AI directly within Databricks Notebooks via a lightweight SDK. The integration allows companies to apply AI-driven decision workflows to sensitive data without moving it outside their existing governance frameworks. The platform uses neuro-symbolic AI to generate explainable, auditable business decisions by combining neural networks with symbolic logic. By leveraging Databricks Delta Sharing, Growth Protocol can securely access governed datasets without replication, whilst executing workflows within customers' compute environments. The SDK is currently in private preview with select enterprise partners, including EY and several Fortune 500 companies, with broader availability planned for Q2 2026. Growth Protocol CEO Miro Dimitrov said the technology enables faster, explainable decisions across pricing, portfolio strategy and go-to-market execution.