Senior Tech Program Manager, AWS Worldwide Public Sector Engineering (WWPSE)
Amazon Web Services Australia Pty Ltd · Sydney, NSW, Australia · Technical Program Management
Full-timeSenior
About the role
What if your job was to prove that an AI-powered idea actually works - in weeks, not years - for the organisations that serve millions of people every day? We're looking for a Technical Program Manager who thrives at the intersection of generative AI, agentic systems, and real-world public sector challenges across Australia and New Zealand. You'll own the delivery of rapid engineering prototypes - most leveraging AI capabilities - that de-risk major technology investments for government agencies, healthcare systems, research institutions, and critical infrastructure providers.
This is a hands-on delivery role, not a coordination one. You will work side by side with software engineers and solutions architects to scope, plan, build, and ship AI-driven solutions that directly influence multi-million-dollar customer decisions. If you enjoy moving fast, applying generative AI and machine learning to real problems, making architecture and trade-off decisions alongside engineers, and seeing your work in production within weeks - not months - keep reading.
Key job responsibilities
Engagement Ownership
- Own delivery of 2–4 concurrent engagements from qualification through build to customer handoff
- Translate business problems into prototyping charters with defined outcomes, timelines, and exit criteria • Make architecture and design trade-offs alongside engineers - own the technical outcome, not just the schedule
- Lead sprint planning, backlog prioritization, and execution across short build cycles
Pipeline & Qualification
- Partner with sales and solutions architects to qualify opportunities against impact and feasibility
- Lead Working Backwards workshops to define scope and success metrics
Reuse, Scale & Handover
- Architect for reuse across customers, verticals, and geographies; plan handover with transfer artefacts and code drops
- Collaborate globally (NAMER, UKGI) to share patterns and adapt solutions across regions
Regulated Environments
- Navigate data sovereignty, health privacy, and government security requirements; clear compliance blockers for co-builds involving customer data
Stakeholder Navigation & Impact
- Primary interface between customer, account team, and engineering - aligning sales priorities with technical feasibility
- Connect prototype outcomes to investment decisions; surface reusable patterns for service teams
Technical Depth
- Stay current on AWS AI/ML (Bedrock, SageMaker, agentic frameworks), serverless, and app modernization
- Evaluate emerging GenAI, edge AI, and AI-assisted development patterns for public sector applicability
A day in the life
- You ship working software - not slide decks. Engagements end with a prototype answering real customer questions.
- Variety and pace - AI health assistants one month, legacy modernization the next, in weeks-long cycles.
- Technical ownership - design trade-offs alongside engineers; you own the outcome.
- Direct impact - prototypes inform multi-million-dollar decisions for organizations serving millions.
- Small team, outsized reach - high-autonomy work visible to senior leadership.
- Build once, amplify many - solutions reused across countries and showcased at AWS events.
- Global team - collaborating across time zones to share patterns and raise the bar.
About the team
A field-deployed AWS engineering team accelerating public sector outcomes through prototyping - with AI at the core. We build working systems that de-risk transformation programs and unlock cloud adoption for government organizations across Australia and New Zealand.
Work spans agentic AI, application modernization, edge AI, and AI-assisted development. Small teams on 1-6 week cycles demand sharp scoping and tight engineering-sales-SA collaboration. Solutions built to transfer, not maintain - co-built with customers, architected for reuse, handover designed from day one.
Aligned to health, transport, education, defence, and research, you build domain expertise across diverse technical problems.
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with AI/ML technologies
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience implementing scalable compliance solutions (technology, procedures, processes, etc.) in a regulated environment
- Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations
- Experience with technology transformation initiatives
- • Background in public sector, government, healthcare, defence, or regulated industries
- • Experience with rapid prototyping, proof-of-concept delivery, or innovation lab environments
- • Demonstrated ability to design for reuse — building solutions that scale across multiple customers or use cases rather than single-purpose deliverables
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
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.
This is a hands-on delivery role, not a coordination one. You will work side by side with software engineers and solutions architects to scope, plan, build, and ship AI-driven solutions that directly influence multi-million-dollar customer decisions. If you enjoy moving fast, applying generative AI and machine learning to real problems, making architecture and trade-off decisions alongside engineers, and seeing your work in production within weeks - not months - keep reading.
Key job responsibilities
Engagement Ownership
- Own delivery of 2–4 concurrent engagements from qualification through build to customer handoff
- Translate business problems into prototyping charters with defined outcomes, timelines, and exit criteria • Make architecture and design trade-offs alongside engineers - own the technical outcome, not just the schedule
- Lead sprint planning, backlog prioritization, and execution across short build cycles
Pipeline & Qualification
- Partner with sales and solutions architects to qualify opportunities against impact and feasibility
- Lead Working Backwards workshops to define scope and success metrics
Reuse, Scale & Handover
- Architect for reuse across customers, verticals, and geographies; plan handover with transfer artefacts and code drops
- Collaborate globally (NAMER, UKGI) to share patterns and adapt solutions across regions
Regulated Environments
- Navigate data sovereignty, health privacy, and government security requirements; clear compliance blockers for co-builds involving customer data
Stakeholder Navigation & Impact
- Primary interface between customer, account team, and engineering - aligning sales priorities with technical feasibility
- Connect prototype outcomes to investment decisions; surface reusable patterns for service teams
Technical Depth
- Stay current on AWS AI/ML (Bedrock, SageMaker, agentic frameworks), serverless, and app modernization
- Evaluate emerging GenAI, edge AI, and AI-assisted development patterns for public sector applicability
A day in the life
- You ship working software - not slide decks. Engagements end with a prototype answering real customer questions.
- Variety and pace - AI health assistants one month, legacy modernization the next, in weeks-long cycles.
- Technical ownership - design trade-offs alongside engineers; you own the outcome.
- Direct impact - prototypes inform multi-million-dollar decisions for organizations serving millions.
- Small team, outsized reach - high-autonomy work visible to senior leadership.
- Build once, amplify many - solutions reused across countries and showcased at AWS events.
- Global team - collaborating across time zones to share patterns and raise the bar.
About the team
A field-deployed AWS engineering team accelerating public sector outcomes through prototyping - with AI at the core. We build working systems that de-risk transformation programs and unlock cloud adoption for government organizations across Australia and New Zealand.
Work spans agentic AI, application modernization, edge AI, and AI-assisted development. Small teams on 1-6 week cycles demand sharp scoping and tight engineering-sales-SA collaboration. Solutions built to transfer, not maintain - co-built with customers, architected for reuse, handover designed from day one.
Aligned to health, transport, education, defence, and research, you build domain expertise across diverse technical problems.
Basic qualifications
- 5+ years of technical product or program management experience- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with AI/ML technologies
Preferred qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience implementing scalable compliance solutions (technology, procedures, processes, etc.) in a regulated environment
- Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations
- Experience with technology transformation initiatives
- • Background in public sector, government, healthcare, defence, or regulated industries
- • Experience with rapid prototyping, proof-of-concept delivery, or innovation lab environments
- • Demonstrated ability to design for reuse — building solutions that scale across multiple customers or use cases rather than single-purpose deliverables
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
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.