Technical Program Manager

BackOps-AI•San Francisco, CA

11d•Onsite

About The Position

BackOps AI transforms supply-chain operations with agentic AI that automates complex workflows, freeing teams to focus on what matters most. Headquartered in the San Francisco Bay Area, we foster a culture of innovation, ownership, and measurable impact. The Role Engineering is at the size where the hardest problems stop being technical and start being cross-cutting. Work arrives from everywhere. Dependencies between teams get discovered late. Decisions that touch three teams wait on one person's calendar. You would be our first Technical Program Manager, and you would own that layer. Not by adding process, but by building the smallest set of mechanisms that make the org self-coordinating, and then getting out of the way. This role reports to the VP of Engineering with direct exposure to the CTO and the Head of Product. You will not be assembling status reports for a hierarchy. You will be deciding which programs exist and making them land.

Requirements

10+ years in technical program management, engineering, or a blend, including time at a startup where the process did not exist yet and you built it.
You have owned an operating system, not just programs. Planning, intake, and prioritization as a system that keeps working after you stop pushing on it.
Technical credibility with senior engineers and architects. You can hold architecture and delivery risk in the same conversation, read a design doc, ask the question that changes the design, and push back on an estimate with reasons. You do not need to write production code. You do need engineers to want you in the room.
A track record of landing an organization's most important programs across teams that do not report to you.
Experience growing other program managers, and shaping how an engineering organization works rather than only working inside it.
Clear, compressed written communication. You can put a complicated delivery risk in front of an executive in a paragraph and have them make the right call.
Comfort with genuine ambiguity. Several of the programs above do not exist yet and are yours to define.

Nice To Haves

AI/ML or agentic systems experience, especially the reliability and evaluation problems that come with non-deterministic software.
You have built a planning or intake system from scratch and seen it survive a year.
Enterprise or regulated-customer delivery experience.
Incident and escalation program design.

Responsibilities

Own the operating system this organization runs on: the planning cadence, how work arrives, and how it gets prioritized. Programs are the output. The system is the job.
Set the program agenda with the VP of Engineering. Decide which programs exist and which do not.
Own our top strategic programs end to end, from framing the problem through to the thing being live and working.
Build the dependency and risk picture across engineering, product, and customer delivery, and surface problems early enough that they are still cheap to fix.
Fix how work arrives. Reducing unplanned work is one of the highest-leverage things anyone can do here.
Own the operational programs that cross every team: incident and escalation design, cloud cost, and how we adopt AI tooling internally.
Define the metrics that show whether a program is working, and give leadership a trustworthy read on delivery risk without anyone having to chase it.
Grow other program managers as the function scales.