---
title: 'AI GTM Strategy Manager at BackOps-AI'
canonical: 'https://feeny.ai/job/ai-gtm-strategy-manager-backops-ai-san-francisco-a4hrkkk6s97r'
type: 'job'
last_seen: '2026-09-13'
---

# AI GTM Strategy Manager at BackOps-AI

- **Company:** BackOps-AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.gem.com/backops-ai/am9icG9zdDryi7Jhzrig8wpAIJOQaIzK

## 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 supply chain teams have always had to do by hand: investigating exceptions, coordinating across systems and stakeholders, and driving work through resolution, 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 AI GTM Strategy Manager to build the systems, automation, and data foundation that make our go-to-market organization more effective as we scale.

You’ll sit at the intersection of Sales, Customer Success, and our product and data systems, turning complex GTM workflows into tools that help the team understand accounts faster, identify the right customer problems to solve, move opportunities forward, and clearly demonstrate the value BackOps delivers.

That challenge is particularly interesting at BackOps. We sell into large enterprises with multiple sites, stakeholders, systems, and workflows, where traditional CRM structures and off-the-shelf RevOps playbooks break down quickly. You’ll help us design the infrastructure behind that motion while also building practical, field-facing tools that make the team better today.

One of your first priorities will be building what we call the value ledger: a reliable, continuously updated view of the value BackOps creates for each customer and workflow: from hours saved to claims filed, exceptions resolved, and response times improved. Done well, it becomes a shared source of truth for customer outcomes, renewals, expansion, and storytelling.

This is a hands-on builder role. You’ll work directly with GTM leaders and the field to identify bottlenecks, structure ambiguous problems, prototype solutions, ship quickly, measure adoption and impact, and evolve what works into durable systems.

## What You’ll Do

Build leverage for the field

- Build tools that give AEs, Solutions Engineers, and CSMs the context they need to act quickly, including account structure, locations, systems, stakeholders, workflows, pilots, and recommended next actions.
- Create a workflow discovery system that can turn discovery calls, customer SOPs, ticket exports, and other inputs into a structured, ROI-ranked view of automation opportunities.
- Instrument pilots and POVs so the team can quickly understand progress, adoption, conversion risk, customer value, and what needs attention.
- Build AI-enabled workflows that reduce administrative work after customer interactions: drafting follow-ups, extracting next steps and product feedback, and proposing CRM updates for review.
- Surface expansion opportunities by connecting product usage, customer outcomes, account context, and workflow-level signals so the field knows where to go deeper and why.

Build the infrastructure behind it

- Design the GTM data model for complex enterprise customers, including parent/account/site relationships, buying groups, workflows, pilots, ownership, and stage logic.
- Build and maintain the value ledger, connecting product activity and operational outcomes to a defensible view of value realized at the account and workflow level.
- Create a reusable context layer that powers GTM tooling with trusted information about accounts, stakeholders, product usage, workflows, and recommended actions.
- Establish data-quality observability across the GTM stack, including completeness, freshness, duplicates, orphaned records, stale ownership, and broken integrations.
- Partner with GTM leadership on where systems, automation, process, or operating-model changes can unlock greater productivity and scale, not simply where another tool should be added.

At this stage, we expect the role to spend more time building the underlying GTM data and systems foundation, with an increasing portion of time focused on field-facing tooling as that foundation matures.

## What You’ll Bring

- 5+ years of experience across GTM systems, Revenue Operations, technical operations, growth, automation, business operations, or another applied technical role supporting a complex B2B organization.
- A track record of building things people actually use. You can point to systems, tools, automations, or workflows you shipped, how users adopted them, and how you improved them after launch.
- Strong technical fluency with SQL, APIs, data models, automation/orchestration tooling, and modern AI-enabled development tools. You don’t need to be a full-time software engineer, but you should be comfortable building rather than only configuring.
- Strong GTM and commercial judgment. You understand how sellers and customer teams operate, what information changes behavior, and the difference between a technically interesting system and one that actually helps move revenue.
- The ability to structure ambiguous business problems and translate them into systems, processes, and operating models, not simply execute against a predefined requirements document.
- Comfort reasoning about complex enterprise data models, including organizations with multiple sites, stakeholders, systems, and workflows.
- High agency and comfort operating in ambiguity. There is no large RevOps or data organization to hand requirements to; you’ll work directly with the field, form a point of view, build, test, and iterate.

## Nice to Have

- Experience working in an early-stage or high-growth environment where you helped establish systems before the organization scaled.
- Experience in supply chain, logistics, manufacturing, or another complex, multi-site enterprise vertical.
- Familiarity with a modern GTM stack spanning CRM, cloud data infrastructure, enrichment/orchestration, BI, and related tooling.
- Experience building with or alongside AI agents, copilots, and LLM-enabled workflows rather than only using them as end-user tools.
- Experience in strategy, consulting, or business operations that strengthened your ability to structure ambiguous GTM problems, paired with demonstrated technical building depth.

This May Not Be the Role for You If

- You primarily want to administer a CRM or manage a collection of SaaS tools rather than build systems and workflows yourself.
- You enjoy data infrastructure but have little interest in how Sales and Customer Success actually operate or make decisions.
- You prefer long build cycles and highly specified requirements over shipping, testing with users, and iterating quickly.
- Your default response to a new GTM problem is to buy another tool before understanding whether we can solve it more simply or effectively ourselves.
- You want a clearly bounded function with established processes, dedicated supporting teams, and a predefined roadmap.

## Why BackOps

- Be our first AI GTM Strategy Manager and shape the systems, automation, and data foundation behind a rapidly scaling enterprise GTM motion
- Work directly with GTM leadership and the field to turn real customer and seller bottlenecks into tools that create meaningful leverage
- 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