Senior Manager, AI Engineering, Amazon Leo, D2D Software

Amazon Leo is building a low Earth orbit satellite constellation to bring fast, affordable connectivity to customers around the world. Direct to Device (D2D) extends Leo to standard mobile phones and devices: a fully regenerative fifth-generation (5G) mobile base station on each satellite, delivering service to standard handsets through mobile network operators (MNOs). D2D Software builds the embedded software that flies, the cloud and ground software that runs the service, and the platform that connects them. Our target is under a day from a defect being found to the fix deployed across the entire constellation, achieved by automating everything that a person would otherwise do by hand. This role leads AI engineering in DevOps & Release, reporting to the Director, DevOps & Release. It owns triage, test generation and selection, and campaign monitoring across the platform. Before anything is handed on, the bar is: each AI stage meets its acceptance criterion, with a manual fallback. It hands off to its customers as follows: triage, test generation, and selection to every team. What the team needs to achieve • Each AI stage meets its acceptance criterion, with a manual fallback. • Hand-offs that meet their service level: triage, test generation, and selection to every team. • Measured, rising capability and efficiency of the team, with manual work falling release over release. How the team is measured • Each AI stage meeting its acceptance criterion. • Gap between the serial loop budget and the pipelined loop time. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities • Own triage, test generation and selection, and campaign monitoring across the platform. • Meet the bar before every hand-off: each AI stage meets its acceptance criterion, with a manual fallback. • Work directly with engineers in the boundary teams as partners, through agreed contracts and service levels. • Automate everything a person would otherwise do twice. • Hire, coach, and grow the team, with clear expectations and career development for every engineer. • Define the team's metrics and service levels, and improve them release over release. • Make the team's decisions data-driven and its quality measurable, and escalate early when risks cross team boundaries. • Set the team's roadmap and the structure and mechanisms that deliver it, and negotiate the boundaries of the area with peer teams. • Build the mechanisms and best practices that make the team's work repeatable, measurable, and improving. A day in the life About the team D2D Software is an evolving organization of many teams: Software Architecture & Specifications; Software Delivery & Business Ops; Software Integration, Verification & Reliability; DevOps & Release; Satellite Software Development; Ground Software Development; and Customer Software Engineering & Support. Each Director owns business outcomes: delivering the commitments, and the capability and efficiency of their teams. Teams work as internal customers and suppliers with agreed service levels, interfaces are agreed centrally while designs stay local, and engineers are expected to work directly with engineers across every boundary. Milestones are committed deadlines for delivery with quality, not gates to wait on, and every team runs on one toolchain and one system of record. Every measure is derived from the systems of record, never self-reported, and we improve release over release with a target of perfection. Minimum qualifications - Bachelor's degree in computer science, computer engineering, or related technical field - 5+ years of software development experience - Experience in management: developing engineers into managers and building teams - Experience hiring and developing engineers, setting clear goals, and giving regular feedback and coaching - Experience establishing workflows, metrics, and service levels for a team, and making data-driven trade-offs between short- and long-term needs - Experience leading a team where the problem and strategy are not yet fully defined, working backwards from the customer - Experience building applied machine learning or AI systems for engineering workflows - Experience measuring model quality with clear acceptance criteria - Experience across the full software development lifecycle, having shipped software and maintained it in production Preferred qualifications - Experience managing managers or leading several teams - Experience with AI for test generation or defect triage - Experience with AI assurance - Experience setting a multi-year direction for an area, designing the team structure and mechanisms to deliver it, and aligning several teams around it - Experience setting strategy where the problem, opportunity, and strategy are not defined, telling one-way from two-way doors, and presenting decisions and strategy narratives to senior leaders across the organization - A record of writing clear narratives and running data-driven reviews Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Redmond - 220,100.00 - 297,700.00 USD annually