ABOUT FLOX
Flox builds adaptive intelligence that interprets and responds to wildlife in real time. Our autonomous edge systems observe, infer, and act in the physical world.
Role Overview
You will architect the product systems that govern autonomy across edge and platform. This means shaping how humans interact with, guide, and supervise distributed AI systems in real environments. The role sits at the intersection of design, system behavior, and product strategy. You will drive coherence across hardware, inference models, workflows, and user outcomes. As the system scales, this role transitions into Product Lead for the autonomy and experience layer.
What You’ll Do
- Define and own the product experience framework for autonomous systems. Focus on behavior, confidence, intent, and oversight.
- Design systems for intent capture, ambiguity resolution, explainability, and human-in-the-loop control in real-time edge deployments.
- Define autonomy levels, intervention thresholds, and supervision models across deployments.
- Work closely with hardware, embedded, cloud, and ML teams to align system behavior with human supervision needs.
- Establish standards for uncertainty communication, policy configuration, and override mechanisms across devices and dashboards.
- Prototype and validate experience models in real contexts including low connectivity and high stakes environments.
- Translate field and customer feedback into structured product requirements and measurable outcomes.
- Drive roadmap definition for the system experience and autonomy layer in close collaboration with leadership.
- Own experience quality metrics across autonomous system performance, operator trust, and intervention frequency.
- Define and maintain core product invariants across autonomy, policy, and supervision.
Who You Are
- You think in systems, not screens.
- Experience shaping complex systems where behavior is the primary interface.
- Strong intuition for how autonomous systems interact with human goals and decision-making.
- You read system logs, model outputs, and telemetry, and translate them into structured, trustworthy supervision models.
- Comfort working with probabilistic systems and edge constraints such as latency, bandwidth, and power.
- Background in product design, systems design, or AI-related interaction or supervision models.
- Clear written and verbal communication across engineering and leadership.
- Comfort with ambiguity and responsibility in an early stage environment.
- Willing to spend time in the field observing deployments and operator workflows.
- Fluent in English.
Role Impact
You will define how humans supervise and collaborate with autonomous systems in the physical world. This is not screen optimization. It is system design across edge hardware, AI inference, and cloud orchestration. Your work will shape how trust is built, how decisions are understood, and how policies are executed at scale. You will shape how autonomy is expressed as product.
Environment
High autonomy. High responsibility. Close collaboration with AI, embedded, and field operations. Direct exposure to real-world deployments. Product decisions have real-world consequences.
Compensation
Competitive salary and meaningful equity. This role is foundational to our long term product direction.
Location & Flexibility
Stockholm based with hybrid flexibility. Remote candidates within plus or minus six hours CET will be considered.
When you apply, in your cover letter, include a short paragraph on each of these:
- A system-level design you defined where interaction and autonomous behavior intersect.
- A product decision you made that changed the trajectory of a project.
- What about human interaction with autonomous systems motivates you.
