---
title: 'AI Deployment Strategist at BackOps-AI'
canonical: 'https://feeny.ai/job/ai-deployment-strategist-backops-ai-san-francisco-n6bzmetj36pp'
type: 'job'
last_seen: '2026-09-05'
---

# AI Deployment Strategist at BackOps-AI

- **Company:** BackOps-AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-20
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/backops-ai/am9icG9zdDqFZbplUuRuCSgWdyltBBgm

## Job description

BackOps is building AI-native automation for supply chain and back-office operations at the world's largest enterprises. Our products: Relay (exception detection and resolution) and the AI Process Center (workflow knowledge capture and automation), replace manual firefighting and tribal knowledge with systems that scale.

## THE ROLE

We're hiring an AI Deployment Strategist to own the strategic deployment and adoption of BackOps across our largest, most strategic customers. You'll act as an embedded strategy partner inside the customer's organization, mapping how AI can reshape their operations, building internal coalitions, and driving enterprise-wide transformation. You'll design and execute deployment strategies end-to-end, architect change management approaches, and serve as the operational and strategic bridge between our AI platform and their business outcomes.

This role exists because deploying AI into legacy operations isn't about implementation, it's about strategy. Our biggest customers need a partner who can diagnose where AI creates the most value, design rollout sequences that build internal buy-in, help teams rethink how they work, and orchestrate adoption at scale. You'll be that partner.

## WHAT YOU'LL DO

- Own the deployment strategy for our largest enterprise customers, from pre-implementation planning through org-wide AI adoption and optimization
- Act as an embedded strategy advisor, diagnosing operational bottlenecks, designing AI-driven workflow redesigns, and helping customers reimagine their operating models
- Build and execute multi-phase deployment roadmaps tailored to organizational readiness, stakeholder priorities, and business impact sequencing
- Design and deliver training programs, enablement curricula, and change management frameworks tailored to different stakeholder groups (ops teams, managers, executives, digital transformation offices)
- Partner with customer engineering, IT, and data teams on integration architecture, data governance, and technical deployment decisions
- Translate customer business requirements and feedback into product strategy recommendations; work directly with engineering and product to shape the roadmap
- Define and track adoption KPIs, business impact metrics, and expansion opportunities; own the strategic case for renewal and expansion alongside the founders
- Design and lead POC strategy, success criteria, and graduation paths into production deployments
- Identify adjacent use cases and value creation opportunities across the customer's organization

## WHAT WE'RE LOOKING FOR

- 5-8 years of experience in AI/ML implementation, digital transformation, technical strategy, or consulting. Ideally at a top-tier strategy consulting firm (BCG, McKinsey, Bain, Deloitte, Accenture) or enterprise SaaS company scaling AI products into large organizations
- Strong technical foundation: you understand APIs, data architectures, integrations, and system constraints well enough to scope deployment challenges and architect solutions with engineers. You should be able to read and reason about workflows, data flows, and technical tradeoffs
- Demonstrated ability to design and execute large-scale change management programs and drive adoption within complex, risk-averse organizations
- Exceptional written and verbal communication. You can run a technical working session with ops teams one hour and present AI deployment strategy to a CIO the next
- Proven experience building deployment playbooks, training curricula, or organizational enablement at scale
- Bias toward strategic ownership: you treat customer outcomes and AI adoption success as your own responsibility and take initiative to remove obstacles
- Comfort with ambiguity and ability to move quickly in a fast-moving startup environment

## NICE TO HAVE

- Background in supply chain, logistics, distribution, or back-office operations
- Prior experience designing AI/ML product implementations or digital transformation programs
- Prior startup or scale-up experience
- Strategy consulting background (operations, digital transformation, or AI)
- Experience with workflow automation, RPA, or process mining
- Familiarity with enterprise change management frameworks (ADKAR, 7S model, etc.)

## COMPENSATION & BENEFITS

- Competitive base salary + meaningful equity
- Full health, dental, and vision
- Unlimited FTO
- Lunch + Dinner
- Monthly team events

## 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