MongoDB
Senior Lead, Product Management
Palo Alto · Senior
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About the role
- As MongoDB scales, our Finance organization needs systems that scale with it.
- This is a player-coach leadership role at the intersection of Finance, Product, and Engineering.
- This role is based in the US. [Palo Alto/ New York]
Responsibilities
- Drive automation, AI-enabled workflows, and self-service capabilities that reduce manual effort and shorten close, planning, and procurement cycles
- Stay ahead of fintech trends, ERP and finance platform best practices, and emerging technologies, and apply them where they create value
- Lead and mentor a team of Product Managers and Engineers, setting clear goals, quality standards, and delivery expectations
- Build, retain, and develop a high-performing team of Product Managers, NetSuite Engineers, and Engineers
- We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software.
- To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone.
Requirements
- 15+ years of experience in finance systems, fintech, or enterprise application product and engineering, with 4+ years leading teams that include Product Managers and Engineers, including NetSuite developers or engineers
- Deep, hands-on NetSuite expertise, including SuiteScript (1.0, 2.0, 2.1), SuiteFlow, SuiteTalk/REST/SOAP APIs, SQL/SuiteQL, and managing NetSuite implementations, upgrades, and releases at scale
- Strong working knowledge of finance and accounting processes such as record-to-report, procure-to-pay, order-to-cash, treasury operations, and planning and forecasting
- Excellent leadership, communication, and stakeholder management skills, including the ability to influence senior Finance and technology leaders
Nice to have
- NetSuite Administrator, ERP Consultant, or SuiteCloud Developer certification
- Experience in a high-growth SaaS, enterprise technology, or public company environment
- Experience with AI/automation in finance workflows (e.g., intelligent document processing, close automation, forecasting)
- Familiarity with BI and reporting tools (e.g., Tableau, Looker, Power BI, NetSuite Analytics)
- Other relevant certifications (e.g., PMP, CPA) or a CPA-adjacent finance background are a plus
- Business Outcomes: Achieve measurable improvements such as faster financial close, reduced manual effort, improved forecast accuracy, and stronger spend and cash visibility
- MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
- Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
Compensation
- Own the NetSuite release and change management lifecycle, including sandbox strategy, code review, testing, deployment, and management of semi-annual NetSuite releases and feature updates
Benefits
- From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys.
- Lead the NetSuite engineering team responsible for the design, development, and ongoing health of MongoDB's NetSuite environment, which serves as the financial system of record
Company info
- With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software.
- Define and execute a multi-year fintech strategy and roadmap across Tax, Treasury, Accounting, S2P, and FP&A, aligned to Finance priorities and company growth plans
- MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market.
This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.