Product Manager-Tech III, Finance Automation

We are looking for a Sr. Product Manager- Tech to join us on our Finance Automation team.

As a Senior Product owner, you will have end-to-end ownership of the customer experience, from defining the product vision through building and launching the product in partnership with front-end and back-end technical teams. In this role, you will work with a team of technical and non-technical stakeholders ranging from engineers, technical program managers and designers to product managers and marketers.

• Key job responsibilities
• Product Leadership:
• Listen to and advocate for the customer
• Define and prioritize the product roadmap (goals, customer use cases, requirements, features)
• Contribute to product discovery via user research, customer interviews, and data analysis
• Write press releases, FAQs, and business goals
• Ensure business alignment across all teams

• Technical Engagement:
• Define both functional and non-functional technical requirements
• Use technical expertise to contribute to development discussions on product solution design and construction
• Engage deeply on technical decisions with engineering teams (internal and/or external)

Basic qualifications

• - 7+ years of product or program management, product marketing, business development or technology experience
• - Bachelor's degree
• - Experience with feature delivery and tradeoffs of a product
• - Experience contributing to engineering discussions around technology decisions and strategy related to a product
• - Experience managing technical products or online services
• - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred qualifications

• - Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time
• - Experience in building and driving adoption of new tools
• - Experience performing statistical analysis of data using SQL, Excel and other tools
• - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

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