---
title: 'Enterprise Account Executive at BackOps-AI'
canonical: 'https://feeny.ai/job/enterprise-account-executive-backops-ai-los-angeles-6x74mdhyy05s'
type: 'job'
last_seen: '2026-09-05'
---

# Enterprise Account Executive at BackOps-AI

- **Company:** BackOps-AI
- **Location:** Los Angeles, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/backops-ai/am9icG9zdDqBMpYUjg-0jp_W7PCQIMnS

## Job description

## About BackOps AI

BackOps is redefining how modern operations teams run their businesses.

We are experiencing monumental growth, expanding into new enterprise verticals, and building several major capabilities that have not yet been publicly announced. This is one of the most exciting moments in our company’s history and we are looking for an Enterprise Account Executive who wants to help shape what comes next.

If you are a high-agency, quota-crushing enterprise seller who wants to sell something truly differentiated, this role is for you. These foundational go-to-market hires are the future leaders within our org.

## The Role

As an Enterprise Account Executive, you will own the full sales cycle for large and strategic accounts. You will work directly with the founders and executive team to shape GTM strategy, refine positioning, and close high-value deals.

You will be selling into operations, supply chain, customer service, IT, and C-suite stakeholders at complex organizations. This is not a transactional sales role. This is consultative, strategic selling with real business impact.

## What You'll Do

- Own full-cycle sales from prospecting to close
- Drive outbound and inbound pipeline development
- Close mid-market and enterprise deals
- Sell to Directors, VPs, and C-level executives
- Navigate multi-threaded enterprise buying processes
- Lead discovery around operational inefficiencies and automation opportunities
- Partner with Solutions and Engineering during technical validation
- Ensure stable handoffs to post-sale teams
- Negotiate MSAs and commercial terms
- Accurately forecast and manage pipeline
- Contribute to messaging, positioning, and vertical expansion strategy

## What We're Looking For

- 5+ years of B2B SaaS sales experience
- Proven track record of exceeding quota (enterprise preferred)
- Comfortable with outbound prospecting and experimenting with messaging as needed
- Experience selling into operations, supply chain, logistics, or complex workflow environments is a strong plus
- Comfortable selling six-figure+ ACV deals
- Strong executive presence and ability to command a room
- High ownership mentality, you run toward ambiguity, not away from it
- Exceptional discovery and consultative selling skills
- Experience negotiating complex contracts

Why Join Now?

- Monumental growth trajectory
- Several major product expansions launching soon
- Direct access to founders and leadership
- Real influence on go-to-market strategy
- Clear path to leadership and career growth opportunities
- Competitive base + variable + accelerators

## About BackOps-AI

## Company Overview
- **One-liner**: BackOps builds an AI-native operating system for supply chain and logistics operations, turning complex manual workflows into structured, always-on execution across systems and teams.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2024
- **Founders**: Sean McCarthy (CEO) and Henry Ou (CTO)

## Core Business
- **Primary industry**: Supply Chain & Logistics Technology / AI Operations
- **Target customers**: B2B, Enterprise (automotive manufacturers, global retailers, grocery chains, machinery suppliers, and other logistics-heavy industries)
- **Mission statement**: To build the AI-native operating layer for modern operations, turning complex, manual workflows into structured, always-on execution across systems and teams.

## Products & Services
- **AI Process Center**: Captures institutional knowledge by recording how employees complete logistics workflows, identifies inefficiencies, and converts those processes into automated actions. Includes a Workflow Recorder and historical ticket mining.
- **Relay**: An agentic automation engine that runs continuously across communication channels (email, Slack, portals, etc.) to detect issues and resolve them automatically. Capabilities include order management, claims & disputes, shipping & logistics tracking, accounts payable, data & document processing, and customer support triage.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $34M raised
- **Last Round**: $26M Series A (led by Theory Ventures, with participation from Gradient, Construct Capital, and 10VC) — raised in April 2026
- **Notable Investors/Partners**: Theory Ventures, Gradient Ventures (Google's AI fund), Construct Capital, 10VC
- **Growth Signals**: 
  - Raised $26M Series A just 6 months ago (as of Sept 2026)
  - Customers report 93% faster response times and 100% automatic filing of eligible carrier claims
  - Clients include one of the world's largest automobile manufacturers, a major global retailer, leading grocery chains, and major U.S. machinery suppliers
  - Headcount of 25 employees, actively scaling team

## Competitive Advantages
- **AI-native architecture**: Not a chatbot bolted onto existing workflows, but a purpose-built "operations OS" that learns processes from SOPs and executes across fragmented systems (web portals, carrier APIs, ERPs, email, Slack)
- **Forward-deployed team model**: Works alongside customer operations from day one, mapping processes and tuning decision logic — a hands-on approach that reduces implementation friction
- **Founding team depth**: CEO Sean McCarthy was an early hire at Amazon Shipping (global sales); CTO Henry Ou led applied ML teams at Apple and ByteDance and ran an ERP integration business — a rare blend of operational and technical expertise
- **Full lineage capture**: All decisions and exceptions are logged with complete context, creating a living system of record for how teams actually work

## Strategic Focus
- Scaling the team and accelerating product roadmap to meet growing demand for AI-driven logistics automation
- Expanding the platform's ability to handle more complex, multi-departmental workflows (CS, Ops, Finance, Sales)
- Deepening integrations with legacy systems, carrier portals, and enterprise tools

## Why Work Here
- **Culture**: Emphasizes a "human + machine" philosophy — building tools that augment operators, not replace them. Described as a place for "operators, engineers, or builders who believe that the future of work is human + machine and not human versus machine."
- **Remote/Hybrid**: Based in San Francisco with two offices; specific remote policy not detailed publicly, but likely hybrid given the forward-deployed team model.
- **Notable perks**: Opportunity to work on a category-defining product in a space ripe for transformation. Small, nimble team (~25 employees) means high impact and ownership. Backed by top-tier investors with deep AI and logistics expertise.
- **Engineering culture**: CTO with strong ML background from Apple and ByteDance suggests a high bar for technical excellence. Work involves cutting-edge AI applied to real-world operational problems.

## Sources
1. [backops.ai](https://www.backops.ai/) — Official product and company description
2. [backops.ai/careers](https://www.backops.ai/careers) — Careers page and mission
3. [backops.ai/about-us](https://www.backops.ai/about-us) — Founding story and team
4. [builtin.com](https://builtin.com/company/backops-ai) — Company profile with headcount and founding year
5. [cbinsights.com](https://www.cbinsights.com/company/backops-ai) — Funding data, news, and Expert Collections

## Other roles at BackOps-AI

- [Product Manager](https://feeny.ai/job/product-manager-backops-ai-san-francisco-1m1bz26j9x55) — San Francisco, CA
- [Engineering Manager, Infrastructure and Security](https://feeny.ai/job/engineering-manager-infrastructure-and-security-backops-ai-san-francisco-e4cky54xn1np) — San Francisco, CA
- [Engineering Manager, Core Product Engineering](https://feeny.ai/job/engineering-manager-core-product-engineering-backops-ai-san-francisco-h95knyk3tvwm) — San Francisco, CA
- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-backops-ai-san-francisco-5t082nnrpj11) — San Francisco, CA
- [Product Security Engineer](https://feeny.ai/job/product-security-engineer-backops-ai-san-francisco-5f1syczeyyn6) — San Francisco, CA
- [Founding GTM Recruiter](https://feeny.ai/job/founding-gtm-recruiter-backops-ai-san-francisco-trwn25fwpbnn) — San Francisco, CA
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-backops-ai-chicago-vkd5te1sf1mq) — Chicago, IL
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-backops-ai-new-york-4z4fkmv7pbqj) — New York, NY
- [Founding Finance & Accounting Lead](https://feeny.ai/job/founding-finance-accounting-lead-backops-ai-san-francisco-byv3mcb1cq7t) — San Francisco, CA
- [Founding Technical Recruiter](https://feeny.ai/job/founding-technical-recruiter-backops-ai-san-francisco-dxm77c6jpmhx) — San Francisco, CA