BackOps AI · 10 hours ago
Customer Success Engineer
San Francisco Bay Area
Full-time
Hybrid
Mid Level
3+ years expBackOps AI is at the forefront of supply chain intelligence, leveraging advanced AI to optimize logistics processes. They are seeking a Customer Success Engineer to act as the architect of customer success, ensuring that complex workflows are translated into powerful, automated realities while managing customer relationships and technical solutions.
Artificial Intelligence (AI)SoftwareSupply Chain Management
Responsibilities
Forensic Workflow Analysis: Customers don’t always tell us the whole story. You will dig deep into their provided workflows to spot gaps, missing edge cases, and hidden dependencies, effectively "derisking" the deliverable before a single line of code is written
Technical R&D & Solution Scoping: Take ambiguous customer requirements and translate them into technical reality. If a customer uses a niche tool, you will research the documentation, investigate mappable APIs, and propose concrete solutions or workarounds to the Forward Deployed team
Resource Management & Prioritization: You will act as the gatekeeper for our Forward Deployed resources. You must balance aggressive customer timelines with engineering capacity, making smart prioritization decisions to deliver the highest impact
Executive-Level Communication: Lead high-stakes onboarding sessions and Business Reviews. You must be able to command a room, manage expectations, and negotiate "win-win" scenarios that satisfy the customer while protecting BackOps’ interests
Drive Adoption & Growth: Own the long-term health of the account. Proactively identify areas where our AI agents can take on more work, and partner with Sales to expand the commercial relationship
Qualification
Required
3–5 years in a Technical Post-Sales role (TAM, Implementation Manager, or Forward Deployed Strategist)
Hyper-Observant & Analytical: You have an uncanny ability to read between the lines. You don't just accept a process flowchart at face value; you ask 'What happens if this fails?' and 'Where does this data actually come from?'
Strong Technical Research Skills: You are comfortable diving into API documentation for unfamiliar apps to determine feasibility. You can translate 'We need this to talk to that' into a JSON payload example or an API endpoint suggestion for the engineers
Resource Management: Experience acting as a project lead, managing the bandwidth of technical teams, and having the backbone to push back or reprioritize when necessary
Master Communicator: You possess excellent presentation skills and emotional intelligence. You can explain technical constraints to non-technical stakeholders without losing their trust
Preferred
Experience working with Forward Deployed Engineering models (e.g., Palantir, C3 AI, or similar high-touch SaaS)
Experience in logistics, supply chain, or automation technology
Benefits
Competitive salary and performance-based incentives
401(k) plan
Comprehensive health, dental, and vision coverage
Daily meals and snacks provided in-office
Hybrid schedule
FTO
Regular team bonding events, off-sites, and learning opportunities
Company
BackOps AI
BackOps AI revolutionize supply chain management with AI-Driven autonomous business solutions
11-50 employees
H1B Sponsorship
BackOps AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
Funding
Current Stage
Early StageTotal Funding
$10MKey Investors
Construct CapitalGradient
2025-06-24Seed· $8M
2024-10-16Pre Seed· $2M
Leadership Team
Sean McCarthy
Co-Founder and CEO
Henry Ou
Co-Founder and CTO
Company data provided by crunchbase