- Own product strategy and execution for Amazon's global tax compliance and reconciliation platforms, modernizing tax operations for an increasingly complex e-invoicing and digital-reporting environment.
- Define multi-year product vision, UX strategy, and roadmap for global tax reconciliation capabilities spanning compliance, controllership, auditability, and operational scale.
- Drove product discovery that reduced manual reconciliation effort and strengthened data transparency, controls, and auditability across tax, accounting, and finance-technology workflows.
- Develop strategic narratives and executive-ready proposals that align senior tax, finance, and technology leaders around long-term modernization and investment priorities.
- Drove an operations-facing product that lets the tax operations team manage compliance more efficiently, readying Amazon for emerging e-invoicing and digital-reporting obligations.
- Partner across Tax, Accounting, Finance Technology, and Engineering to translate business requirements into product specs, workflows, and mockups — bridging domain experts and engineering.
Gareth Merrifield
Principal Product Manager — Tax & Finance Technology · Applied AI Automation & GenAI Prototyping
Summary
Principal Product Manager with 19 years at Amazon owning tax, finance, and compliance platforms from strategy through launch — reconciliation automation, compliance modernization, and e-invoicing / digital-reporting. Translates complex enterprise financial workflows into scalable products through cross-functional leadership across Tax, Accounting, and Engineering. A highly technical product leader who builds production-grade applied-AI systems hands-on in Python and AWS.
Core skills
- Product & strategy
- Product strategy · Roadmapping · Business requirements · Stakeholder management · Executive communication · Workflow transformation
- Tax, finance & compliance
- Tax technology · Compliance workflows · Financial systems · Reconciliation automation · Controls · Regulatory processes
- AI & automation
- Generative AI · LLM workflows · AI agents · MCP · Claude · OpenAI/ChatGPT · Python · APIs · AWS Lambda · S3 · EventBridge · SQL/SQLite
Professional experience
- Product owner within Amazon's financial-systems product organization (eCFI). Promoted from PM III to Principal Product Manager.
- Owned the end-to-end lifecycle of Checkbook, an automated daily bank-reconciliation platform replacing manual and semi-automated (Oracle) processes across Amazon's 2,900+ bank accounts.
- Defined product vision via PR/FAQ (Amazon's product-strategy narrative) and go-to-market strategy; partnered with stakeholders on requirements and mockups.
- Launched the first production release (minimum lovable product) in December 2021; secured product funding in 2018 and 2021 and led the organization's three-year strategy in both 2021 and 2022.
- Authored the PR/FAQ for an intercompany settlement automation initiative ("Offset"), jointly funded by the Accounting and eCommerce Foundation SVP organizations.
- Progressed from finance-systems integration advisor ("Financial Bar Raisers," 2013–2014) into program and product ownership of Amazon's core finance platforms, supporting launches across Payments, Retail, Global Store, Prime, Advertising, and geo expansions.
- Program lead for major financial-systems launches including new-country and tax restructures, upfront-charge payment methods, Global Installment Lending, and legacy-system deprecations.
- Led the Order-to-Cash (OTC) subledger migration onto Amazon's unified financial subledger (2015–2016).
- Acting product manager, Order-to-Cash (2017): reduced the onboarding process to 0.2 days from 1.04 days.
- Acting product manager, subledger adjustments (2017–2018): launched a non-technical UI letting accountants prepare and approve transaction-level subledger adjustments.
- Acting product/program manager, Disbursement-to-Cash (2019): automated daily reconciliation of seller-disbursement bank accounts and launched the US Amazon Payments entity, covering 60% of worldwide seller-disbursement traffic.
- Progressed across Treasury and Payments accounting: owned month-end journal entries and multi-geography reconciliations; led OTC subledger cleanup and Amazon Currency Converter reconciliation automation.
- Built Excel VBA tooling to streamline 100+ monthly reconciliations; supported geography expansions (ES, IT, Checkout by Amazon-UK), International Disbursement for Merchants, and Amazon Currency Converter launches.
- Prepared month-end journal entries and reconciled bank accounts for Canadian and Australian subsidiaries; performed daily/weekly store-sales variance analysis and documented close procedures.
Applied AI & automation portfolio
Self-directed builds applying LLMs, agentic workflows, and cloud automation to real finance, research, and operational problems. Code at github.com/garethmerrifield83.
AI Investment Research Monitor
- Designed and built an end-to-end portfolio-analysis system that screens ~3,000 equities daily across three risk profiles, then routes a bounded candidate set through a multi-stage LLM pipeline — per-symbol analyst, CIO-style synthesizer, and automated red-team critique — modeled on a real investment team.
- Architected a hybrid deterministic-plus-LLM design: a rules-based screener does the broad, cheap work while LLM calls are reserved for high-value decisions — governed by an MCP data server, provider routing to cost-appropriate models, and hard per-run token budgets.
- Built a closed learning loop that mirrors recommendations to a paper-trading sandbox, scores them against forward outcomes, and feeds results back into tuning, with live execution disabled by default as a safety control.
AI Daily Digest
- Built a serverless research-and-summarization workflow that aggregates multiple data sources and delivers a single mobile-friendly digest on a schedule, running unattended on AWS Lambda and EventBridge.
- Constrained the LLM to a JSON-schema-validated summarizer for predictable, automatable output, and engineered for cost and resilience with per-call token accounting, an S3-backed cache, and a modular design that degrades gracefully if any source fails.
Personal AI / Product Portfolio Platform
- Designed and shipped a public, AWS-hosted portfolio site that reframes technical AI builds as product narratives — architecture diagrams, design decisions, and outcomes per project.
- Establishes a personal brand as a finance and product leader actively building with applied AI.
Education
B.A., Business Administration (Accounting) — Seattle University, Seattle, WA
Graduated August 2006 · Cumulative GPA 3.91 (summa cum laude)
Certifications
- Certified Treasury Professional (CTP)
- AWS Certified Cloud Practitioner (2025–2028)
- AWS Certified AI Practitioner (2025–2028)
- Certified Associate in Python Programming (PCAP), Python Institute