Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
Spotted an issue?
We’ll check it against the original posting.
Qualifications
Required
- 7+ years of engineering team management experience
- 10+ years of software development experience
- Experience in building and operating large-scale distributed systems
- Experience partnering with product and science teams to define and deliver technically complex, multi-year roadmaps
- Experience recruiting, developing, and retaining senior engineering talent across globally distributed teams
Preferred
- Experience building machine learning (ML), large language model (LLM), or agentic AI systems in production at scale
- Experience with multi-agent orchestration frameworks and AWS services including Bedrock and Amazon Q
- Experience in workforce technology, learning management systems (LMS), or employee listening platforms
- Experience designing API-first, multi-tenant platforms intended for external commercialization
- Demonstrated track record of translating causal science or measurement frameworks into engineering systems that drive measurable business outcomes
- Experience operating platforms that serve millions of users across multiple languages and geographies
About the role
Original posting provided by amazon
Amazon's People Experience and Technology (PXT) organization is seeking a Director of Software Development to lead Workforce Intelligence and Skilling — the autonomous workforce intelligence platform in Amazon combining enterprise listening, adaptive learning, behavioral skills measurement, causal evaluation, and agentic intervention at 1.5 million+ employee scale. This leader will own the technical strategy, platform architecture, and engineering execution across five product pillars: Continuous Listening, Skills Intelligence and Workforce Development, Autonomous Learning Operations, Measurement Science and Causal Attribution, and Closed-Loop Intelligence and Autonomous Action.
The successful candidate will scale this platform from a set of connected systems into a fully autonomous closed-loop intelligence engine: one where listening signal drives intervention, intervention drives development, development drives measured outcomes, and outcomes compound intelligence. Every capability ships as a headless agentic primitive — composable, API-first, and multi-tenant-ready — so intelligence finds leaders at the moment of decision rather than waiting to be found.
Key job responsibilities
• Lead Platform and Technical Strategy: Own the technical roadmap for Workforce Intelligence and Skilling, driving the architecture from five connected pillars into a fully autonomous closed-loop intelligence platform serving 1.5 million+ employees across 37 languages.
• Architect Agentic Primitives at Scale: Oversee architectural decisions for headless, composable agentic services — Autonomous Detection, Autonomous Intervention, Signal Fusion, Content Creation, Personalization, and Learning Effectiveness — built API-first and multi-tenant-ready on AI interfaces.
• Scale Autonomous Learning Operations: Drive the transition of Amazon Learn from human-operated administration to system-operated, targeting a 50% reduction in the 24,947 annual admin support tickets and elimination of the 6.14-hour monthly per-associate training burden through autonomous governance agents.
• Drive Causal Measurement Science: Build and scale Amazon Causal Evaluation (ACE), Multi-Level Causal Chain Attribution, and the Intervention Effectiveness Library — delivering the proof infrastructure that answers which programs improve retention, which training changes behavior, and which career pathways produce the best outcomes.
• Build Skills Intelligence and Career Development: Scale the Learn Agent and Career Intelligence experience — fusing Employee 360 context, live labor-market data, and Amazon's funded catalog (Career Choice, AWS Skill Builder, Machine Learning University (MLU), and free AI certifications) — into a single front door across 35+ upskilling programs
• Lead Global Engineering Teams: Direct engineering teams across global locations, fostering rapid experimentation and a culture of autonomous, outcomes-driven delivery.
• Drive Business Impact Through KPIs: Establish and own the platform's definitive scorecard — autonomous interventions per quarter, career transition outcomes, causal return on investment (ROI) per quarter, listening reach, and leader action rate — demonstrating impact on productivity, retention, and workforce readiness.
• Position for Externalization: Architect every primitive to serve any enterprise tomorrow without re-architecture, advancing Amazon's opportunity to externalize the world's only at-scale autonomous workforce intelligence platform through Future Ready 2030.
A day in the life
You will lead strategic discussions with PXT leadership on the platform's autonomous intelligence roadmap while driving rapid experimentation across your engineering teams. Your day spans deep technical architecture reviews on multi-agent orchestration and causal science infrastructure to critical business metrics conversations with senior leaders. You will review agentic workflow designs for autonomous pruning agents, partner with AWS Bedrock and Amazon Q teams on intelligence delivery primitives, and engage with science teams on ACE evaluation frameworks. You will balance shipping headless primitives that deliver immediate value independently against assembling them into closed-loop intelligence cycles that compound over time. You will define the metrics that prove the platform is working — not just adoption counts, but career transitions, training burden reductions, and causal ROI — and hold the organization accountable to them.
• 10+ years of software development experience
• Experience in building and operating large-scale distributed systems
• Experience partnering with product and science teams to define and deliver technically complex, multi-year roadmaps
• Experience recruiting, developing, and retaining senior engineering talent across globally distributed teams
• Experience with multi-agent orchestration frameworks and AWS services including Bedrock and Amazon Q
• Experience in workforce technology, learning management systems (LMS), or employee listening platforms
• Experience designing API-first, multi-tenant platforms intended for external commercialization
• Demonstrated track record of translating causal science or measurement frameworks into engineering systems that drive measurable business outcomes
• Experience operating platforms that serve millions of users across multiple languages and geographies
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.
USA, WA, Seattle - 264,100.00 - 350,000.00 USD annually
The successful candidate will scale this platform from a set of connected systems into a fully autonomous closed-loop intelligence engine: one where listening signal drives intervention, intervention drives development, development drives measured outcomes, and outcomes compound intelligence. Every capability ships as a headless agentic primitive — composable, API-first, and multi-tenant-ready — so intelligence finds leaders at the moment of decision rather than waiting to be found.
Key job responsibilities
• Lead Platform and Technical Strategy: Own the technical roadmap for Workforce Intelligence and Skilling, driving the architecture from five connected pillars into a fully autonomous closed-loop intelligence platform serving 1.5 million+ employees across 37 languages.
• Architect Agentic Primitives at Scale: Oversee architectural decisions for headless, composable agentic services — Autonomous Detection, Autonomous Intervention, Signal Fusion, Content Creation, Personalization, and Learning Effectiveness — built API-first and multi-tenant-ready on AI interfaces.
• Scale Autonomous Learning Operations: Drive the transition of Amazon Learn from human-operated administration to system-operated, targeting a 50% reduction in the 24,947 annual admin support tickets and elimination of the 6.14-hour monthly per-associate training burden through autonomous governance agents.
• Drive Causal Measurement Science: Build and scale Amazon Causal Evaluation (ACE), Multi-Level Causal Chain Attribution, and the Intervention Effectiveness Library — delivering the proof infrastructure that answers which programs improve retention, which training changes behavior, and which career pathways produce the best outcomes.
• Build Skills Intelligence and Career Development: Scale the Learn Agent and Career Intelligence experience — fusing Employee 360 context, live labor-market data, and Amazon's funded catalog (Career Choice, AWS Skill Builder, Machine Learning University (MLU), and free AI certifications) — into a single front door across 35+ upskilling programs
• Lead Global Engineering Teams: Direct engineering teams across global locations, fostering rapid experimentation and a culture of autonomous, outcomes-driven delivery.
• Drive Business Impact Through KPIs: Establish and own the platform's definitive scorecard — autonomous interventions per quarter, career transition outcomes, causal return on investment (ROI) per quarter, listening reach, and leader action rate — demonstrating impact on productivity, retention, and workforce readiness.
• Position for Externalization: Architect every primitive to serve any enterprise tomorrow without re-architecture, advancing Amazon's opportunity to externalize the world's only at-scale autonomous workforce intelligence platform through Future Ready 2030.
A day in the life
You will lead strategic discussions with PXT leadership on the platform's autonomous intelligence roadmap while driving rapid experimentation across your engineering teams. Your day spans deep technical architecture reviews on multi-agent orchestration and causal science infrastructure to critical business metrics conversations with senior leaders. You will review agentic workflow designs for autonomous pruning agents, partner with AWS Bedrock and Amazon Q teams on intelligence delivery primitives, and engage with science teams on ACE evaluation frameworks. You will balance shipping headless primitives that deliver immediate value independently against assembling them into closed-loop intelligence cycles that compound over time. You will define the metrics that prove the platform is working — not just adoption counts, but career transitions, training burden reductions, and causal ROI — and hold the organization accountable to them.
Basic Qualifications
• 7+ years of engineering team management experience• 10+ years of software development experience
• Experience in building and operating large-scale distributed systems
• Experience partnering with product and science teams to define and deliver technically complex, multi-year roadmaps
• Experience recruiting, developing, and retaining senior engineering talent across globally distributed teams
Preferred Qualifications
• Experience building machine learning (ML), large language model (LLM), or agentic AI systems in production at scale• Experience with multi-agent orchestration frameworks and AWS services including Bedrock and Amazon Q
• Experience in workforce technology, learning management systems (LMS), or employee listening platforms
• Experience designing API-first, multi-tenant platforms intended for external commercialization
• Demonstrated track record of translating causal science or measurement frameworks into engineering systems that drive measurable business outcomes
• Experience operating platforms that serve millions of users across multiple languages and geographies
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, Seattle - 264,100.00 - 350,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.