PETEROLSON

Senior technology leader who turns AI and cloud complexity into measurable business outcomes — across strategy, product, and enterprise execution.

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Career Footprint

20+ years across six Fortune 500 enterprises

Amazon Web Services
Amazon
American Express
Wells Fargo
Fidelity Investments
Fannie Mae
Career at a Glance
20+
Years Experience
Full Career

From infrastructure engineering at American Express to product leadership at Amazon and customer solutions at AWS — spanning the full stack of enterprise technology.

$23.5M
ARR Influenced
AWS

Driving revenue growth through cloud-native modernization and strategic AI adoption programs across Fortune 500 financial services enterprises.

650K+
Users Served
Amazon

Owned product roadmap for internal cloud infrastructure tooling as a Senior PM at Amazon, scaling platforms to support a 650K+ global user base.

6
Fortune 500 Employers
Full Career

Built deep enterprise expertise across AWS, Amazon, Wells Fargo, Fidelity Investments, American Express, and Fannie Mae — spanning cloud, fintech, payments, and housing finance.

6
AI Systems in Production
Not Notebooks

Every AI project shipped to production with real users, measurable outcomes, and full observability — RAG systems, multi-agent pipelines, LLM evaluation frameworks, and workflow orchestration engines.

Career History

EXPERIENCE & OUTCOMES

Each role below includes the key outcomes delivered — click any outcome to see the full situation, what was asked, what I did, and the measurable result.

Amazon Web Services (AWS)

Senior Customer Solutions Manager

Amazon Web Services (AWS)

Jan 2024 — Feb 2026
  • Primary technical advisor for a Fortune 20 financial services enterprise on a $91.7M renewal portfolio
  • Led AI/ML adoption programs across all Unit CIOs deploying Amazon Bedrock and SageMaker at scale
  • Orchestrated cross-functional teams (SA, ProServe, TAM) to accelerate cloud transformation

Peter is one of the most effective CSMs I've worked alongside. He doesn't just manage accounts — he architects outcomes. When a major financial services client was stalling on their Bedrock migration, Peter built a custom ROI model that moved the decision from the technical team all the way to the CFO's desk. That's rare.

Solutions Architect, Amazon Web Services

What separates Peter from most customer-facing leaders is his technical depth. He can sit in a whiteboarding session with a principal engineer and hold his own, then walk into an executive QBR and translate that same conversation into business value. He drove more pipeline movement in one quarter than most CSMs do in a year.

Technical Account Manager, Amazon Web Services

Key Outcomes — click to expand
Amazon

Senior Product Manager — Tech

Amazon

Jun 2022 — Jan 2024
  • Owned full product roadmap for Remote Identity Verification (RIV) serving 650K+ corporate employees
  • Integrated AI/ML verification across IT portal, chatbot, and case management channels
  • Built automated workflows for 1.5K IT engineers managing $1B in hardware and software assets

Peter joined our team mid-sprint and had a measurable impact within weeks. He cut through ambiguity on a platform initiative that had been blocked for months, aligned engineering and design around a clear north star, and got us to ship. His ability to hold both the customer lens and the technical constraints at the same time is genuinely uncommon.

Senior Product Manager, Amazon

Key Outcomes — click to expand
Wells Fargo

Senior Product Management Lead

Wells Fargo

Jul 2021 — Jun 2022
  • Led product strategy for the refreshed Wells Fargo mobile app for millions of customers
  • Drove quantitative feedback-driven prioritization across engineering, design, and business teams
  • Managed cross-functional dependencies to influence scoping and launch timing

Peter came in during a critical period for our mobile platform and immediately changed how we operated. He built a feedback loop that actually shifted our prioritization decisions, and the NPS lift within six months was real and measurable. He kept engineering, design, and the business aligned in a way that's genuinely rare on a platform this size.

Engineering Manager, Wells Fargo

Key Outcomes — click to expand
Fidelity Investments

Director of Product Management

Fidelity Investments

Jan 2021 — Jul 2021
  • Led agile squad building HSA payment solutions for large health expense management clients
  • Applied advanced analytics (Tableau, SQL) to drive hypothesis-based product decisions
  • Designed and prototyped 12+ product workflows from discovery through delivery

Peter brought real analytical discipline to our squad — using data to validate hypotheses before we committed to a build rather than after. That approach made our releases faster and our decisions defensible. He was the most prepared PM I've worked with on a payment product.

Senior Engineer, Fidelity Investments

Key Outcomes — click to expand
American Express

Senior Product Manager

American Express

Aug 2018 — Dec 2020
  • Delivered digital payment features for the J.D. Power top-ranked financial services mobile app
  • Defined product strategy and annual roadmaps using real-time analytics aligned to OKRs
  • Rebuilt core payment, transaction, and card balance workflows end-to-end

Rarely do you meet a PM who actually understands what's happening in the codebase. Peter does. He came to our API architecture reviews prepared, asked the right questions, and never once handed us a spec that was technically incoherent. Working with him made our team faster because we weren't cleaning up requirements — we were building.

Staff Software Engineer, American Express

Key Outcomes — click to expand
American Express

Senior Infrastructure Engineer

American Express

Oct 2013 — Aug 2018
  • Led enterprise mobility management platforms within Digital Workplace
  • Architected mobile infrastructure strategy across the organization
  • Developed custom Salesforce and Tableau applications deployed company-wide

Peter owned the BYOD initiative from architecture to enterprise rollout and delivered something most teams take years to ship. He understood both the technical requirements and the business case clearly enough to move it through approval fast. The $2.5M in savings wasn't a projection — we tracked it.

Director of Infrastructure, American Express

Key Outcomes — click to expand
Capabilities & Operating Model

WHAT I BRING & HOW I WORK

20 years of enterprise experience distilled into five core capabilities and five operating principles.

Core Competencies
cloud

Cloud & Infrastructure

Multi-account AWS governance, serverless architecture, EKS, and FinOps cost optimization at enterprise scale.

AWS ArchitectureCloud MigrationFinOpsDevOpsPlatform Modernization
strategy

Product & Strategy

Translating complex technical roadmaps into business outcomes and driving high-growth product visions across Fortune 500 enterprises.

Product RoadmappingAgile/ScrumExecutive EngagementProgram Management
psychology

AI & Data

Generative AI implementation, LLM strategy, RAG architectures, and data-driven decision frameworks deployed in production.

GenAI / LLM StrategyAmazon BedrockRAG ArchitecturesMLOpsSageMaker
handshake

Customer Success

Strategic account management and executive relationship building for complex enterprise cloud and AI journeys.

Account StrategyTechnical EnablementExecutive Business ReviewsNPS Optimization
hub

AI Systems Integration

Wiring AI agents, LLMs, and automation into existing enterprise infrastructure — connecting CRM, ERP, data warehouses, and internal tools into cohesive, production-grade systems.

Agent OrchestrationEnterprise API IntegrationWorkflow AutomationLangGraphSolutions Engineering
Operating Principles
01Discovery & Definition

Clarity Before Code

The most expensive systems I've seen were built before anyone agreed on what problem they were solving. I invest time upfront in definition — customer journey mapping, constraint identification, success metrics — so teams build the right thing, not just a thing.

02Systems Thinking

Architecture Is a Product Decision

Technical choices have business consequences. I hold both lenses simultaneously — evaluating build vs. buy, managed vs. self-hosted, monolith vs. microservices — through the lens of team capability, delivery speed, and long-term cost. No abstraction exists in a vacuum.

03Delivery Velocity

Ship to Learn, Not to Finish

Production is the only environment that tells the truth. I push for early releases, real user feedback loops, and instrumented systems that surface signal fast. A feature that's 80% done and in front of users beats a perfect spec that's still in review.

04Executive Communication

Make the Complex Legible

The gap between a technical team and a business stakeholder is usually a communication failure, not a knowledge gap. I translate fluently in both directions — from architecture review to exec QBR — because alignment is what actually moves initiatives forward.

05AI Operating Model

AI Is Leverage, Not Headcount

I treat AI agents the way a senior engineer treats junior staff: I define scope precisely, review output critically, catch errors before they propagate, and ship the result. The leverage is real — but only if someone with deep judgment is holding the rope. That's the role I play.

Verified Credentials

CERTIFICATIONS & SKILLS

Verify on Credlyopen_in_new
Active Expertise
Amazon Bedrock
SageMaker
LangChain / LangGraph
RAG Architectures
Claude / OpenAI APIs
Kubernetes / EKS
Terraform & IaC
Python
TypeScript / Next.js
Docker / ECS Fargate
Snowflake
PostgreSQL
Supabase
CI/CD Pipelines
LangSmith / Evals
n8n / Automation
Side Projects

PERSONAL VENTURES

A portfolio of live and in-development products built independently alongside a 20-year enterprise career — spanning AI tooling, automation, and financial intelligence platforms.

psychology

AI & Automation

candlestick_chart

Trading & Finance