Senior Product Manager, Chief Accounting Office

Adobe

Confirmed live today High trust

Quick summary

Work type: On-site
Location: San Jose, CALehi, UT
Salary: $111,700–$215,750 / yr
Employment: Full-time
Posted: 28 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k

This role $164k

$98k $244k

below market most similar roles pay here above market

This role pays less than 81% of similar roles. Most pay $174,275–$216,000 — the blue band above. At the midpoint, this role pays about $164k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Senior Product Manager, Chief Accounting Office

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The Senior Product Manager, Chief Accounting Office leads the strategy, delivery, and evolution of the SAP S/4HANA Core Finance platform. This role involves managing the end-to-end product lifecycle for critical finance components, including General Ledger, Accounts Payable/Receivable, FICA, Treasury, and Revenue Accounting. You will build and deploy AI-intensive solutions, such as generative AI copilots, intelligent document processing, and predictive analytics, to automate workflows and enhance financial visibility. Key responsibilities include writing functional specifications, managing agile ceremonies, and overseeing integrations with tools like Kyriba, Blackline, Databricks, and GEP. Success requires deep expertise in SAP S/4HANA, experience with LLMs like Azure OpenAI or Google Vertex AI, and a strong understanding of GAAP and IFRS 15 standards to solve complex enterprise finance problems.

Skills

SAP S/4HANA Generative AI LLMs Databricks Azure OpenAI Google Vertex AI AWS SageMaker SAP BTP LangChain RAG Agile SAP Analytics Cloud Kyriba Blackline GEP Ariba Coupa SAP Activate

What you'll do

Serve as the primary product owner for S/4HANA Finance components including General Ledger, Payables, Receivables, and Treasury.
Drive configuration, extension build, and integration architecture decisions for core finance systems and third-party tools.
Own and evolve the multi-year product roadmap by prioritizing AI-first capabilities and foundational ERP improvements.
Lead the delivery of AI-powered features such as automated journal entry validation, predictive forecasting, and anomaly detection.
Write detailed product requirements, AI model cards, functional specifications, and user stories for engineering and design teams.
Manage agile ceremonies including sprint planning and backlog grooming to move AI experiments into production.
Define responsible AI guardrails, bias mitigation frameworks, and explainable standards for all embedded finance models.
Partner with data scientists to design model training datasets and evaluate performance for continuous improvement.

What we're looking for

8+ years of experience in enterprise finance IT.
At least 7 years of hands-on experience with SAP S/4HANA or ECC Finance implementations.
Expert-level knowledge of S/4HANA Finance modules including GL, AP, AR, FICA, RAR, Treasury, and Asset Accounting.
Demonstrable experience delivering AI/ML-powered features within ERP or finance platforms.
Proven product management or IT delivery leadership track record for complex, multi-stakeholder programs.
Strong grasp of GAAP, IFRS 15, ASC 606, and subscription business financial models.
Experience in a high-growth SaaS or technology company with a solid understanding of SAP Order to Cash processes.
Experience integrating SAP S/4HANA analytics, procurement systems (Ariba, GEP, or Coupa), and cloud data platforms.
Experience with SAP BTP, SAP Build, or SAP Extension Suite for custom AI development (preferred).
Familiarity with timely engineering, RAG, and agentic AI frameworks like LangChain or AutoGen (preferred).
Knowledge of AI governance frameworks, responsible AI principles, and GDPR/CCPA compliance (preferred).
Hands-on familiarity with AI/ML toolchains such as Azure OpenAI, Google Vertex AI, or AWS SageMaker (preferred).
SAP S/4HANA Finance certification or SAP Activate methodology training (preferred).