The setting
's is a set of software tools for defense that covers simulation, hardware and software integration, and mission control. It helps teams build, test and deploy autonomous systems that work together.
Campaign scores lose meaning when the configuration behind them is not comparable.
Program offices need fast vendor comparisons while mission engineers need enough context to trust what changed.
Who you’d be doing this for
“I had three vendors tell me their score moved for different reasons, and I still had to pick tomorrow’s test.”
Emre Demir · Autonomy Program Manager · a character in this brief
Leads a defense program office using multi-vendor test evidence to decide which autonomous systems advance.
What is at stake
Program managers cannot explain why the same mission produces different vendor scores. You must weigh a common comparison workflow against the context each vendor configuration needs.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- common campaign metrics vs mission-specific context
- fast program reviews vs defensible comparisons
- vendor flexibility vs repeatable product behavior
- event delivery vs self-serve adoption
Why Applied Intuition
Digital Proving Grounds depend on Axion Sim results carrying from multi-vendor simulation into later HIL, LVC, and live exercises.
Written with these in mind
Not your kind of problem? 93 more at Applied Intuition, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Applied Intuition. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Product Manager - Digital Proving Grounds (opens in a new tab)
- Work with other Axion product leads so DPGs use common pieces (simulation, campaigns, metrics, jobs) instead of separate versions.
- Run discovery with program offices, test and evaluation organizations, mission engineers, and autonomy vendors.
- Product Manager - DefenseOS (opens in a new tab)
- Communicate product strategy, status, risk, and trade-offs to senior leadership and external stakeholders, and provide product input into program and business decisions.
- As a Product Manager for DefenseOS, you will own the product vision, strategy, and roadmap for a defense operating system derived directly from Applied Intuition's commercial automotive VehicleOS product, as the product peer to a director-level engineering lead.
- Product Manager - Drone Stack (opens in a new tab)
- Now the challenge shifts: we need to move from delivering bespoke solutions for individual programs to building products that scale across customers, platforms, and theaters.
- Our technology — from the Acuity ISR+Strike autonomy stack to the Axle edge compute hardware — is deployed on real platforms with real operators, across multiple airframe vendors and mission sets.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these turns on committing to a deal before it checks out.
Campaign summaries recommend conflicting next moves for machine-credential buyers.
You must decide what AI can recommend and what strategists must verify before a launch.
Named platform accounts are receiving messages that do not match the payment questions they raise in early conversations.
You must decide what AI can recommend and what strategists must judge before a test gets budget.
Enterprise campaign reviews are producing competing next steps from LinkedIn engagement and 6sense account signals.
You have to decide what AI recommends, what evidence it exposes, and where strategist review remains required.
The same setting, from another role
Each is set around Applied Intuition’s Axion, written for a different role. They’re separate briefs, not the same scenario.
Program managers reconstruct mission events from separate views and leave reviews without one agreed follow-up decision.
You have to weigh a fast shared narrative against preserving the uncertainty in the underlying evidence.
Operators cannot tell whether a degraded-link reroute was approved or merely reported.
You must weigh mission continuity against an intervention model operators can trust under pressure.
Operators see an old approval state after reconnecting, even when a vehicle is already executing.
You must weigh immediate task clarity against keeping routine approvals fast.
Other problems with a similar purpose
In each of these, as in this one, the aim is to find the real question hiding behind incomplete evidence and choose a reversible next step instead of guessing.
Product managers read homeowner, pro and metric evidence on urgent repairs separately and reach different conclusions.
You have to decide where the AI's clustering of that evidence stops and a product manager's framing of the problem begins before a test is shaped.
A major advertiser may move $1.5 million after finance disputes whether reported sales were incremental.
You must weigh a compelling cross-format growth case against the evidence each claim can support.
A 4,000-seat business program may not renew because executives dispute what learner progress proves.
You have to weigh a fast commercial save against claims the evidence cannot support.
