This role pays more than
80%
of similar roles. Most pay
$175,365–$224,300
— the shaded band above.
At the midpoint, this role pays about
$239k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About DoorDash, Inc
DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.
DoorDash, Inc currently has
187 open roles
on FindRole.
Listed pay typically runs
$144,800–$212,950
across 166 roles with salary data.
Product Manager Airspace & Autonomy - DoorDash Air will lead the end-to-end product strategy for safety-critical software, services, and infrastructure required to deploy autonomous drone delivery at scale. Joining the DoorDash Air team, you will manage the integration of order logistics with aircraft systems, autonomy stacks, mission planning, UTM capabilities, and fleet management tools. You will define how orders move from merchant readiness through airspace validation and autonomous flight while ensuring features align with technical roadmaps. Key responsibilities include overseeing autonomy roadmap development, data strategy for aviation, and ensuring compliance with ASTM F3201, F3548, and F3411 standards. You will navigate complex requirements like Part 135 and Part 108 to productize regulatory compliance. The role requires expertise in motion planning, perception, geospatial data, and high-reliability systems within a regulated aviation environment to solve the challenge of scalable drone logistics.
What does a Product Manager earn in California?
Median $223300 from 163 postings across 44 companies.
Own the end-to-end product strategy for safety-critical software, services, and platform infrastructure for drone delivery.
Integrate drone operations into the DoorDash marketplace by aligning order fulfillment with aircraft availability and airspace constraints.
Lead the autonomy roadmap including mission planning, path finding, detect-and-avoid systems, and vehicle health monitoring.
Develop technical capabilities to transition from one-to-one operator supervision to multi-aircraft fleet orchestration.
Define the data strategy for aviation by determining which geospatial, weather, and airspace layers to build or source.
Build UTM and airspace management capabilities to ensure compliance with federal regulations and safety standards.
Translate regulatory requirements into reusable software features and automated workflows for operational auditability.
Make strategic build-versus-partner decisions regarding technology providers, data sources, and infrastructure components.
What we're looking for
10+ years of product management, technical product leadership, systems leadership, or related experience for complex software or cyber-physical platforms.
5+ years of experience in autonomous systems, robotics, UAS, aviation technology, safety-critical systems, or other highly regulated environments.
Proven track record of taking technically complex products from early concept through validation, deployment, and operational scale.
Experience owning multi-layered technology stacks including embedded/vehicle software, cloud services, APIs, data infrastructure, and hardware integration.
Technical fluency in autonomous concepts such as mission planning, path planning, perception, localization, guidance, control, and behavior management.
Experience designing products for distributed, real-time, or mission-critical systems where reliability and safety are fundamental requirements.
Working knowledge of UTM, airspace management, geospatial data, flight-planning services, and various FAA-regulated environments (Part 107, 135, 108, 146).
Experience designing or scaling human-supervised autonomy, remote operations, multi-vehicle systems, and fleet orchestration.
C++
Embedded Systems
Motion Planning
PX4
Dynamics Modeling
Aerodynamics
Trajectory Optimization
A
D
RRT
Robotics Frameworks
Linear Algebra
Nonlinear Optimization
Python
SQL
C++
Git
SIL
HIL
Flight Test Engineering
Aerodynamics
GNC
Electric Propulsion
Battery Modeling
Data Visualization
Root Cause Analysis
Instrumentation
Automation
Systems Architecture
Cloud Platforms
Distributed Systems
APIs
Platform Engineering
Data Platforms
Edge Computing
AI
Scrum
Roadmap Management
Integration Frameworks
Scalability