---
title: 'Enterprise Sales Executive at Empirical Security'
canonical: 'https://feeny.ai/job/enterprise-sales-executive-empirical-security-remote-0q231xw13yt2'
type: 'job'
last_seen: '2026-10-15'
---

# Enterprise Sales Executive at Empirical Security

- **Company:** Empirical Security
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-13
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/empirical-security/2fe77378-f8c8-4830-aebf-7c03e03881d9

## Job description

Enterprise Sales Executive Empirical Security is a quantum leap forward in exposure management, building custom models at scale to help organizations predict and prioritize the threats most likely to endanger them. Enterprises can no longer keep up with the flood of potential exploits caused by the AI era; only Empirical gives resource-strapped security teams the predictive capabilities to punch way above their weight class. We're looking for a dedicated, experienced, and basically brilliant Enterprise Sales Executive to bring our category-defining technology to the Fortune 1000. You'll own a named-account territory of the largest banks, insurers, healthcare systems, and industrials, working directly with CISOs and heads of vulnerability management to bring probabilistic prioritization into the biggest security programs in the world. What you'll do:

- Own a book of enterprise accounts end-to-end, from first outreach through close and expansion, carrying a quota that reflects the size of the opportunity.
- Run consultative, data-forward sales cycles with security executives who are tired of the usual pitch deck and want to see the math.
- Partner with sales engineering, data science, and product to run technical proofs of value against a customer's own environment.
- Build multithreaded relationships across security, IT, procurement, and risk functions inside every account.
- Forecast accurately in HubSpot and keep an honest pipeline. Sandbagging and happy ears both get spotted quickly around here.
- Represent Empirical at industry events, analyst briefings, and executive dinners when it helps move a deal.

You would be an excellent candidate if...

- You've closed six- and seven-figure security software deals into large enterprises, and you can describe your last five deals in terms of what actually moved them.
- You are comfortable in the room with a CISO and equally comfortable with a director-level practitioner who will grill you on model performance.
- You have consistently exceeded quota, and you can point to specific years where you cleared it by a wide margin.
- You understand the difference between selling a data feed, a platform, and a model, and you know how each one earns budget.
- You've worked at a smaller startup, or you are genuinely excited about what it takes to help a phenomenal one grow.

Extra credit if:

- You have carried a bag against Wiz, Tenable, Qualys, Rapid7, ServiceNow VR, or Kenna and lived to tell the story.
- You already have relationships with vulnerability management or exposure management buyers at F1000 accounts.
- You have sold through channel partners in the cybersecurity industry.

A Final Word Don't check off every box in the requirements listed above? Please apply anyway! Studies have shown that marginalized communities - such as women, LGBTQ+ and people of color - are less likely to apply to jobs unless they meet every single qualification. Empirical Security is dedicated to building an inclusive, diverse, equitable, and accessible workplace that fosters a sense of belonging – so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!

## About Empirical Security

## Company Overview
- **One-liner**: Empirical Security builds mathematical models for cybersecurity data, predicting which vulnerabilities are likely to be exploited using both global internet-wide telemetry and enterprise-specific local models.
- **Entity Type**: Private (Seed stage, $11.9M total funding)
- **Headquarters**: Chicago, Illinois, USA
- **Founded**: 2024
- **Founders**: Ed Bellis (CEO), Michael Roytman (Co-Founder), Jay Jacobs (Chief Data Scientist)

## Core Business
- Primary industry: Cybersecurity (Risk-Based Vulnerability Management, Threat Intelligence)
- Target customers: B2B, Enterprise security teams
- Mission: "Build data-driven models to prioritize, remediate, and summarize cybersecurity findings." The future of cybersecurity is data-driven.

## Products & Services
- **Empirical Platform**: Ingests scan results, asset metadata, compensating controls, and network topology to train a local model accessible only to the customer. Provides a web interface, API, and AI agent for triage.
- **Global Models**: Predict the probability of exploitation across 17,000+ CVEs using near-real-time internet exploitation telemetry. Trained on ~2 million exploitation events.
- **Local Models**: Enterprise-specific models trained on an organization’s own environment telemetry and controls to determine which vulnerabilities pose real risk to that specific infrastructure.
- **EPSS Model**: Empirical maintains and trains the Exploit Prediction Scoring System (EPSS), a free and open machine learning model used by over 120 vendors.

## Market Standing
- **Valuation**: Not disclosed
- **Total Funding**: $11.9M (Seed round, August 2025, led by Costanoa Ventures)
- **Key Metric**: 20 employees (9 product + tech); monthly headcount growth of 4.3%
- **Notable Investors/Partners**: Costanoa Ventures; co-chairs the EPSS Special Interest Group at FIRST
- **Growth Signals**: Founded by the team behind Kenna Security (acquired by Cisco). The company maintains the widely adopted EPSS model. Demonstrated higher coverage and efficiency compared to traditional vulnerability management approaches.

## Competitive Advantages
- **Data moat**: Monitors exploitation activity over 17,000+ CVEs (12x DHS CISA’s KEV), with hourly telemetry and years of historical depth.
- **Unique modeling approach**: Combines a global internet-scale model with a local enterprise-specific model, enabling context-aware prioritization that generic models cannot match.
- **Team pedigree**: Founders created the Risk-Based Vulnerability Management category at Kenna Security; Jay Jacobs is lead data scientist for EPSS and co-chair of the EPSS SIG at FIRST.
- **Transparency**: Publishes data to prove model performance; EPSS is free and open.

## Strategic Focus
- Continue building a "new kind of security platform" driven by modern AI and real-world telemetry.
- Expand local model capabilities to cover more use cases (threat intelligence, vulnerability management, application security, cloud security).
- Grow the team and customer base while maintaining open standards leadership.

## Why Work Here
- **Culture**: Described as collaborative, hardworking, and focused on solving new problems with data science and engineering excellence.
- **Work Environment**: Headquarters in Chicago (onsite workspace). Some roles are listed as remote (USA). Likely flexible for the right candidates.
- **Team**: Small (~20 people) and growing, offering significant impact and ownership in an early-stage startup.
- **Engineering Culture**: Rigorous model validation, emphasis on statistical learning systems, and a mission to eliminate noise in security operations. The team includes data scientists, software engineers, and security veterans from Kenna/Cisco.

## Sources
1. [empiricalsecurity.com](https://www.empiricalsecurity.com/)
2. [empiricalsecurity.com/about](https://www.empiricalsecurity.com/about)
3. [builtin.com](https://builtin.com/company/empirical-security)
4. [linkedin.com](https://www.linkedin.com/company/empiricalsecurity)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/empirical-security)

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