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Growth Protocol

Enterprise reasoning platform for auditable decisions

Enterprise Account Executive - Insurance

Account ExecutiveConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • At least 7 years of enterprise SaaS sales experience, including substantial sales to insurance carriers, managing general agents (MGAs), 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 knowledge of how AI fits alongside them.
  • Understanding of enterprise data architecture, particularly in unclean client data environments.
  • Familiarity with life, property and casualty, and health insurance providers.
  • A history of multi-threading large, complex carrier accounts.
  • Ability to discuss AI and machine learning, data architecture, and model explainability without a script.
  • Ability to work in the New York City area and come to the office 2–3 times per week.

Responsibilities

  • Own full enterprise sales cycles into carriers, MGAs, and reinsurers, typically lasting 3–9+ 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 demos based on actual property and casualty, specialty, and commercial-lines use cases.
  • Support information security and regulatory validation as deals progress toward close.
  • Convert pilots into multi-year agreements across lines of business.
  • Build pipeline using a personal network, with business development representative support available.
  • Partner with the Head of Business Development and Insurance Head on major carrier and MGA pursuits.
  • Lead deal orchestration and maintain a consistent sales narrative across underwriting, claims, actuarial, data, and IT.
  • Carry deals from the first executive conversation through rollout across lines of business.
  • Build relationships across carrier, MGA, and reinsurer C-suites, Chief Actuary offices, and boards.
  • Identify internal champions in underwriting, claims, and data teams.
  • Connect technical stakeholders, including data science, IT, and information security, with business stakeholders in underwriting, distribution, and product.
  • Adapt discussions to IT, finance and C-suite, underwriting and claims, and compliance audiences, addressing their relevant technical and business concerns.
  • Explain how neural networks extract signal from unstructured submission, claims, and loss data; how symbolic reasoning encodes underwriting rules, appetite, and regulatory logic; and how the combined approach supports auditable underwriting and pricing decisions.
  • Explain how forecasts are validated against actuarial standards and how data moves between carrier data lakes, rating engines, and core systems.
  • Address security and data governance in regulated insurance environments.

Desired Qualifications

  • Ability to whiteboard architecture or underwriting logic for a chief underwriting officer or Chief Actuary.
  • Fluency in insurance executives’ discussions of growth, loss ratios, and regulatory risk.
  • Ability to plan strategic accounts and navigate carrier organizational structures.
  • Ability to turn executive interest into a structured initiative.
  • Enjoyment of technical and actuarial complexity.
  • Comfort co-selling with senior leadership and partners.
  • Steadiness under pressure in a market with high expectations and long sales cycles.

About the Company

Growth Protocol

Enterprise reasoning platform for auditable decisions

Growth Protocol builds an enterprise reasoning platform that provides a governed surface for decision-making using a neuro-symbolic AI engine to turn data into explainable, auditable recommendations. The platform blends neural outputs with symbolic constraints, business rules and an ontology, connecting models, agents, workflows, apps and enterprise data, and records evidence and rationale so each decision has provenance and outcome history. Decisions move through review, escalation, approval and audit paths and are executed inside the customer’s governed data environment. The goal is to help large enterprises, including Fortune 500 companies, make profitable commercial growth decisions at scale with clear, auditable guidance instead of relying on opaque models or dashboards.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2024

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