Chami Rupasinghe  ·  Engineering Project Manager · Apple Hardware 1 / 10

 Apple Hardware Engineering · EPM Interview Presentation

Chami
Rupasinghe

A product leader who builds teams, ships products at scale, and turns complexity into clarity.

15+Years Leading
6Products Launched
$148MAnnual Revenue
Chami Rupasinghe
Part 1 — Introduction
Background

Where engineering
meets strategy.

As a data and AI native product leader, I've spent 15+ years at the intersection of business ambition and technical execution. From incubating enterprise grade data platforms at Microsoft, to five ancillary revenue products at American Airlines, I turn high-stakes ambiguity into measurable outcomes.

Microsoft · 2015–Present

Azure

Principal PM Manager

2019 – Present

Incubating a product that transforms data structures using GenAI.

Microsoft Research

Principal Product Manager

2019 – 2021

Led Azure Health Data Services from Research to GA at HIMSS 2021. 7B+ monthly API requests in Year 1.

Azure Health Data Services

Azure

Sr. Data & Applied Scientist

2016 – 2019

Analyzed Azure consumption patterns to devise share shift strategies. Azure churn model (F1: 0.904); partner ranking algorithm for ~3,000 Azure sellers.

Sales

Technical Sales Professional

2015 – 2016

Attained 104% of target on a $36M portfolio of 82 enterprise accounts.

American Airlines · 2005–2013

Ancillary Revenue Products

Sr. Product Manager

2010 – 2013

Incubated 4 products with $41M ARR.

Extended Hold Reserve Entree Pre-Order Duty Free Fare Bundles

AAdvantage Loyalty

Sr. Marketing Manager

2007 – 2010

Launched AA's most exclusive elite tier and revenue driving loyalty products.

Mileage Multiplier

Field Operations Planning

Financial Analyst

2005 – 2007

Developed staffing analysis and optimization tool, saving $4M annually.

Education

Duke University, Durham NC

MBA — Fuqua School of Business

Austin College, Sherman TX

B.S. Economics & Finance

Why Apple

What I bring.
What I'm here to learn.

What I Can Bring

Platform experience building tools for engineers

At Microsoft I build systems used by enterprise developers, which aligns closely with building internal platforms that support hardware engineering teams.

Software development excellence at scale

Experience operating in large engineering organizations with complex dependencies, structured planning, and disciplined delivery.

Thriving in ambiguity

Experience incubating new platforms and navigating unclear problem spaces while bringing structure and alignment.

What I'm Excited to Learn

Closer proximity to hardware innovation

The opportunity to enable the engineering systems that support the design and development of Apple's hardware products.

Hardware–software co-design

Learning how tightly integrated engineering teams collaborate to deliver Apple's product experience.

Apple's culture of product craftsmanship

How deep technical work across hardware and software translates into simple, elegant products.

Part 2 — Project Deep Dive
The Situation

Launching Azure Health Data Services
at HIMSS 2021.

"Ship to the world's largest healthcare conference — or miss a once-a-year market window."

The Product — Azure Health Data Services

A cloud-native healthcare data platform that exchanges clinical, imaging, and device data and exposes it through standards-based APIs — powering the Microsoft ecosystem and customer-built applications as systems of engagement.

  • Clinical Data — FHIR API for interoperability
  • Imaging Data — DICOM API for interoperability
  • Device Data — Proprietary standards transformation
  • Compliant & secure — HIPAA, ISO 27001; 99.9% uptime

Customer Segments

Hospital systems · Insurers · Medical Device Manufacturers

Use Cases

Patient Intelligence · Clinical Research · Remote Monitoring

Me + My Team

Responsibilities: Product strategy + Program Execution.

Drove clarity for internal and external teams, established repeatable processes that scaled across six engineering teams, eliminated overhead by sourcing all tracking directly from DevOps, and continuously surfaced risks early so leadership could make decisions — not be surprised by them.

  • Release Manager — Program execution: QPR (set OKRs), MBRs, Release Management, T-minus tracking
  • Two Data Engineers — Product Market Fit through product telemetry and business metrics
  • Technical Writer — Technical documentation
  • Program Manager — User Interface

Internal Stakeholders

  • Product
    • Engineers x56 (across 6 engineering teams)
    • Technical Program Managers x10
    • Executives x3
    • Privacy, Compliance, Legal

External Stakeholders

  • Price - Business planning, Finance, Commerce
  • Placement - Sales (training and enablement)
  • Promotion - Marketing (PR content, Launch plan)
The Obstacles

Three fires.
Simultaneously.

Engineering Risk

New Azure Mandate Redefines Product Scope at T-Minus 6 Months

A company-wide security edict ensuring security consistency across all services forced a complete redefinition of GA scope. Smaller, less mature teams lacked spare capacity to absorb the new requirements without cutting committed features entirely.

01
Marketing Risk

Last-Minute Name Change Cascades Across Every Asset

"Health Data Platform" was rejected by Marketing LT — "platform" was reserved for Azure. Rippled through: all docs, press release, domain naming, landing page, and all customer decks — weeks from launch.

02
Commercial Risk

Billing Not Finalized by Launch Readiness Date

Resource constraints impacts if the billing engineering would be ready for launch, creating high commercial risk: sellers could not confidently quote, buyer conversations would stall, and event-day messaging risked customer confusion.

03
Risk Management

Every risk tracked.
Every mitigation owned.

Risk Impact Mitigation Path Level Status
Unplanned Security Features
Engineering Risk
Change the product or move launch date ① Reprioritize backlogs via updated Pugh Chart weights
② Borrow capacity from sister teams
③ Negotiate APEX deferrals for immature services
High Resolved
Hero Features at Wire
Marketing Risk
Marketing BOM built on uncertain foundation Each team got at least one hero feature and development went down to the wire; parallel BOM track with pre-agreed 48hr publication cycle triggered on feature confirmation High Resolved
Product Name Change
Marketing Risk
Cascades: all docs, web, press, domain Asset inventory → single source of truth → sequenced updates: domain → docs → marketing. Tracked as DevOps work items. Med Resolved
Missing Billing
Commercial Risk
Sellers can't quote; customer confusion at HIMSS No pricing announced at launch, and customers use the product for free. Private disclosure of future pricing enabled sales. Billing / pricing was announced three months post GA. Med Accepted
Leadership Philosophy

I move an organization
by pulling, not pushing.

I

Clear Strategy

Semester-level LT strategy design. Every team knew the destination, their lane, and the definition of done — before the first sprint started. Ambiguity is the enemy of velocity.

II

Minimal Overhead Process

QPR designs the quarterly engineering plan. MBR reviews its progress. All output flows directly from DevOps — no duplicate tracking, no separate spreadsheets, no wasted cycles.

III

Over-Communicate

T-minus weekly dashboards. End-of-sprint check-ins. Release notes. A newsletter. R/Y/G status always visible — no one is ever surprised, especially not senior leadership.

Planning & Execution

A battle plan for every
level of the org.

Quarterly

QPR

Engineering plan design; OKR setting; resource & dependency mapping across all 6 teams

Monthly

MBR

Progress review with exec leadership; trade-off discussions; risk escalation with recommended decisions

Per Sprint

Prioritize + Demo + Release

End-of-sprint demos; release notes published; backlog refined with CAB customer feedback

Weekly

T-Minus Update & OKR review

R/Y/G dashboard all workstreams; blocker triage; milestone countdown for major releases; OKR progress review

Results 7B+

Monthly API requests — in the first year of general availability

✓ On Time

Shipped at HIMSS 2021
Hard deadline met

6

Engineering Teams
Coordinated to GA

→ Azure

Graduated from
Microsoft Research

Azure Health Data Services shipped on schedule at HIMSS 2021, exceeded all adoption projections in Year 1, and successfully transitioned from Microsoft Research into Azure — validating both the product strategy and the operating model used to build it.

Thank You

Ready to build something
extraordinary at Apple.

I bring the technical depth, stakeholder fluency, and relentless execution mindset this EPM role demands — and I'm excited to bring that to Apple Hardware Engineering.

Name

Chami Rupasinghe

Location

Austin, TX

Phone

903-744-6200

Email

crupasinghe@gmail.com

LinkedIn

linkedin.com/in/rupasinghe

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