---
title: 'Product Manager at BackOps-AI'
canonical: 'https://feeny.ai/job/product-manager-backops-ai-san-francisco-1m1bz26j9x55'
type: 'job'
last_seen: '2026-09-05'
---

# Product Manager at BackOps-AI

- **Company:** BackOps-AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/backops-ai/am9icG9zdDqZ47ySEyDCfHzu6Wh-sqHg

## Job description

## About BackOps

We build AI-powered software for complex supply chain and logistics workflows used by large enterprises. Our users work in operational environments where decisions have real business consequences, workflows often span multiple systems and stakeholders, and the right product solution is rarely obvious from a feature request alone. 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 introduces AI where it matters.

## About the Role

You will work closely with customers, engineering, design, go-to-market teams, and company leadership to identify important problems, determine where AI can or cannot meaningfully improve workflows, translate product strategy into shippable solutions, and continuously improve those solutions based on evidence. You’ll report to the Head of Product.

Because we are an early-stage company, we are looking for someone who understands that the right product process depends on the stage of the company and the importance of the problem. You should be equally comfortable defining product strategy, conducting customer research, analyzing data, writing a detailed product specification, creating a lightweight prototype, or helping close the gaps needed to get a straightforward feature shipped.

## What You’ll Do

Shape product strategy and priorities

- Help define and communicate the product vision, strategy, and roadmap based on company goals, customer needs, market opportunities, and technical possibilities.
- Build clear product rationale and communicate not just what we are prioritizing, but why.
- Anticipate that priorities will change as we learn and help the team make progress without over-engineering plans around assumptions that may quickly become obsolete.
- Bring stage-appropriate product judgment: know when directional evidence is enough, when to build something lightweight, and when an investment needs to be built for scale.

Build AI-native products

- Determine where AI can genuinely improve the work performed by customers rather than simply adding AI functionality to existing workflows.
- Explore how AI systems should interact with users across areas such as automation, recommendations, decision support, exceptions, approvals, explanations, and human oversight.
- Independently research emerging AI technologies, models, techniques, and product patterns and determine which developments are relevant to our product.
- Work closely with engineering to prototype potential AI-powered solutions.

Turn strategy into shipped product

- Translate product strategy and customer problems into clear, shippable product components, partnering closely with engineering from problem definition through implementation.
- Break ambiguous initiatives into incremental releases that generate customer value and learning, while identifying edge cases, risks, and key decisions early.
- When appropriate, independently complete straightforward product, design, analytical, prototyping, or technical work needed to move initiatives forward.

## What We’re Looking For

- Approximately 4+ years of product management experience.
- Experience building B2B software products.
- Strong experience designing products for non-developer business users, particularly users performing complex business or operational workflows.
- Excellent written and verbal communication, including the ability to explain priorities, tradeoffs, product decisions, and strategy clearly to different audiences.
- Comfort working with data and using quantitative analysis alongside qualitative research.
- Curiosity about AI and the ability to independently learn about rapidly evolving AI technologies and translate technical developments into potential product opportunities.

Optional Valuable Experience

- Experience building products for large enterprises, understanding of enterprise buyers and their requirements.
- Experience navigating complex, multi-stakeholder enterprise purchasing and implementation processes.
- Experience with supply chain or logistics enterprise software.
- Experience with AI-powered products, agents, LLM applications.

## Why BackOps

BackOps is an AI-native company, which means BackOps does not have the constraint of legacy product and revenue. BackOps is still in its early stages, which means you will experience early 0 → 1 product formation, launches, and iteration. You will also be heavily involved with different stakeholder team’s processes as we discover the new way of working in this AI-native age.

## 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

- [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
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- [Founding Finance & Accounting Lead](https://feeny.ai/job/founding-finance-accounting-lead-backops-ai-san-francisco-byv3mcb1cq7t) — San Francisco, CA
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