Product Manager; Simulation

The Fourth Law/ TFL/ Четвертий Закон is an autonomous robotics company focused on solving massively scalable autonomy for defensive FPV drones. The company has offices in the US, EU and Ukraine and is on a mission to increase the defensive capabilities of the Free World. Its name is a reference to Isaac Asimov’s three laws of robotics, and the search for an enigmatic Fourth Law.

Mission: Own the simulation and evaluation stack that helps us design, test, and iterate autonomy faster—with confidence before field validation.

• Lead customer discovery with internal users (autonomy engineers, QA, field test team) and external partners to define what “good simulation” means for real deployment constraints.
• Define product vision for simulation: scenario library, physics/world modeling, sensor modeling, tooling, and evaluation workflows.
• Own the simulation roadmap across multiple tracks (e.g., scenario generation, reproducible testing, analytics, CI/regression).
• Specify requirements for:
  • scenario authoring (tools + data formats)
  • dataset ingest/replay
  • ground-truth and metrics
  • pass/fail gating for releases
• Drive cross-functional execution with autonomy, ML, infra, and QA teams; ensure simulation results are trustworthy and comparable over time.
• Establish performance dashboards and quality standards (coverage, determinism, regression detection, time-to-signal).
• Post-launch: improve developer/user experience, shorten feedback loops, and reduce “unknown unknowns” in-field behavior.

• 3–5+ years in product management for developer tools, ML platforms, robotics software, or complex technical products.
• Strong analytical mindset: can define metrics and evaluation protocols, not just features.
• Comfortable collaborating deeply with engineering teams on architecture tradeoffs and iterative delivery.
• Proven ability to turn ambiguous R&D needs into a crisp roadmap and specs.
• Strong communication skills across technical and non-technical stakeholders.
• Fluent in Ukrainian, English B2+.

• Experience with robotics simulation, autonomy evaluation, computer vision pipelines, or test infrastructure.
• Background in QA/verification, safety-critical systems, or performance engineering.