---
title: 'Senior SDET at BackOps-AI'
canonical: 'https://feeny.ai/job/senior-sdet-backops-ai-san-francisco-typgqf2n9es2'
type: 'job'
last_seen: '2026-10-18'
---

# Senior SDET at BackOps-AI

- **Company:** BackOps-AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-20
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.gem.com/backops-ai/am9icG9zdDqW1fPgZBs17P4YyWligbTM

## Job description

## About BackOps AI

BackOps AI is transforming supply chain operations with agentic AI solutions that automate complex workflows, freeing operations teams to focus on what matters most. Headquartered in the San Francisco Bay Area with flexible remote-friendly options, we foster a culture of innovation, ownership, and measurable impact.

## Role Overview

We are looking for a Senior SDET to join our growing QA team. In this role, you will be responsible for building, and maintaining scalable test automation solutions that cover UI, API, and end-to-end workflows. You will work closely with developers, designers, and fellow QA engineers to uphold high standards of software quality throughout the development lifecycle.

The ideal candidate has strong experience with test automation frameworks, API testing, and modern CI/CD environments, along with the ability to drive improvements in testing strategy and tooling. Experience exploring AI-assisted testing or intelligent test automation approaches is considered a plus.

## What You'll Do

- Design and build robust test automation frameworks for UI, API, and end-to-end testing
- Standardize patterns, conventions, and best practices across automation projects
- Create and execute automated regression, functional, performance, and API tests
- Integrate automated tests into CI/CD pipelines for continuous testing
- Improve automation reliability through better error handling, retries, logging, and diagnostics
- Enhance test coverage by identifying critical scenarios and edge cases
- Participate in code reviews, architecture discussions, and quality improvements
- Stay up to date with emerging automation tools, frameworks, and testing methodologies

## What We're Looking For

- 6+ years of experience in software engineering, SDET, or test automation engineering roles
- Strong Java and/or Python skills and experience writing clean, maintainable, reusable code
- Proficiency in test automation frameworks (e.g., Selenium, Playwright)
- Proven experience building or evolving automation frameworks and shared libraries
- Experience with automation execution models such as scheduling, orchestration, retries, and monitoring
- Experience with test management tools (TestRail, Zephyr)
- Strong communication skills and the ability to work effectively with cross-functional teams
- Strong understanding of software testing principles, SDLC, and agile methodologies
- Knowledge of performance and load testing tools (JMeter, Gatling) is a plus
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

## What We Offer

- Equity & Ownership: Generous equity packages so you grow alongside the company and share in our upside
- Impact & Visibility: Direct access to co-founders and the ability to see your work drive real business results
- Collaborative Culture: A small, tight-knit team of seasoned operators and AI experts
- Flexible Work: Hybrid model with core Bay Area presence and remote flexibility

## 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

- [AI/ML Engineer](https://feeny.ai/job/ai-ml-engineer-backops-ai-san-francisco-tyxgw1w8m2q2) — San Francisco, CA
- [Product Manager, Agent Platform](https://feeny.ai/job/product-manager-agent-platform-backops-ai-san-francisco-nzdmr6d526et) — San Francisco, CA
- [Product Manager, AI Agents](https://feeny.ai/job/product-manager-ai-agents-backops-ai-san-francisco-85gwkqvw6apn) — San Francisco, CA
- [AI GTM Strategy Manager](https://feeny.ai/job/ai-gtm-strategy-manager-backops-ai-san-francisco-a4hrkkk6s97r) — 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