---
title: 'Founding Technical Recruiter at BackOps-AI'
canonical: 'https://feeny.ai/job/founding-technical-recruiter-backops-ai-san-francisco-dxm77c6jpmhx'
type: 'job'
last_seen: '2026-09-05'
---

# Founding Technical Recruiter at BackOps-AI

- **Company:** BackOps-AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-02
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/backops-ai/am9icG9zdDrPaCaKpcnr_IvV9vs2ra5K

## Job description

## About BackOps

Supply chain operations are some of the most complex, high-stakes workflows in any business — and for too long, the teams running them have had to hold it together manually. Missed shipments, cascading exceptions, hours of coordination that pulls people away from the work that actually moves the business forward. The infrastructure hasn't kept up with the complexity.

BackOps is changing that. We build agentic AI that automates the operational work that supply chain teams have always had to do by hand — not by wrapping AI around legacy tools, but by rethinking the infrastructure from the ground up.

We're ~50 people, headquartered in San Francisco, and backed by investors who support category-defining companies early and with conviction: our Series A was led by Theory Ventures, with participation from Gradient, Construct Capital, and 10VC. The problem is real, the timing is right, and we're building the team that will define how this space evolves.

If you want to do work that matters, with people who take ownership seriously, at a company where what you build becomes the foundation — keep reading.

## The Role

We're hiring our first in-house recruiter — someone who finds real satisfaction in the hunt: sourcing relentlessly, running a tight process, and closing candidates who weren't actively looking. This is a high-volume, full-cycle role built for someone who loves the craft and wants to go deep on it.

Technical hiring is where we need you most. Our engineering and product teams are growing fast, and the competition for this talent means inbound alone won't get it done.

You'll report to the Head of People & Talent and own full-cycle execution across your own reqs — with real input into how you source, sell, and close. You'll have the support and context to do it well, and the trust to run your searches your way.

## What You'll Do

- Own full-cycle technical recruiting — from kickoff through close — across engineering, product, and adjacent technical roles
- Build and run sourcing strategies that consistently surface high-caliber, often passive candidates
- Partner with hiring managers to calibrate the bar and run structured, high-signal interview loops
- Track and improve your own funnel metrics — time-to-fill, offer-accept rate, source quality
- Represent BackOps authentically to candidates — tell the story, build trust, close with conviction
- Manage multiple technical searches simultaneously without compromising quality or candidate experience

## What We're Looking For

- 4–7 years of full-cycle recruiting experience, with meaningful time at early-stage or high-growth startups
- Proven track record hiring technical talent — engineers, infrastructure, product — with a high, well-calibrated bar
- A relentless sourcer who hunts passive candidates rather than waiting on inbound
- Strong closer with a track record of winning candidates against competing offers
- Clear, compelling communicator who can represent a company's mission and culture with authenticity
- Motivated by being the best in the market at full-cycle technical recruiting
- Based in or willing to relocate to San Francisco

## Why BackOps

- Be the first in-house recruiter at a company redefining supply chain infrastructure with AI
- Real input in how we build our technical team — with the strategic support to do it well
- Backed by Theory Ventures, Gradient, Construct Capital, and 10VC
- Competitive salary, meaningful equity, and comprehensive benefits

## 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-los-angeles-6x74mdhyy05s) — Los Angeles, 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