Own BI product management for Quote-to-Cash and Order-to-Cash processes. Partner with finance, sales, legal, product, FinSys, and engineering teams to identify operational pain points and translate them into BI, AI, and ML opportunities. Define PRDs, roadmaps, business requirements, and process documentation while ensuring quoting, contracting, billing, and revenue recognition data is accurately represented in downstream data products.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior BI Product Manager to act as the subject-matter expert across Quote-to-Cash and Order-to-Cash processes, connecting financial data to real business decisions. This person turns operational friction into data, analytics, and AI/ML opportunities, working with Sales, Legal, Accounting, and Product. Comfort with ERP and CPQ systems matters.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 5+ years of Product Management experience within Financial Systems, FinSys BI, Order-to-Cash, or Revenue Operations in SaaS or tech environments.
- Solid grasp of core accounting terminology, the contract lifecycle, billing, entitlement, and downstream revenue recognition (including ASC 606 impacts).
- Exceptional communication skills and high energy, with genuine comfort proactively reaching out to busy product managers, finance, and legal leaders to map processes and drive alignment.
- Proven ability to validate pricing, order, and contract data for troubleshooting, reporting, and building operational dashboards.
- Strong analytical, process mapping, and documentation skills, including experience defining non-technical functional specs for technical teams to execute.
- General understanding of ERPs (Workday, NetSuite, SAP) and CPQ/CLM tools (Salesforce CPQ, Zuora, Conga, Icertis, DocuSign CLM, Ironclad) and how their data flows into BI platforms.
- Upper-intermediate English level.
NICE TO HAVES
- Conceptual comfort with modern data stacks and the business applications of GenAI, LLMs, or predictive ML models within corporate finance.
- Prior experience in a high-volume marketplace or enterprise sales environment with complex deal structures.
- Background in contract analytics, obligation tracking, or process improvement methodologies (Lean, Six Sigma) applied to financial systems.
WHAT YOU WILL DO
- Build relationships across internal FinSys teams (Orders, Invoicing, Billing) and finance leadership to surface operational friction points.
- Connect operational pain points to BI, Machine Learning, and AI opportunities, uncovering the "what" and "why" behind financial data needs.
- Author clean PRDs, roadmaps, and non-technical business requirements, partnering closely with Technical Delivery Managers (TDMs) and engineering teams who architect the technical solutions.
- Ensure complex commercial and financial processes (quoting, deal structuring, billing, and revenue recognition) are accurately captured in downstream data products.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Similar Jobs
Events • Food • Travel • Hospitality • Hotels & Resorts
Prepares banquet menu items according to recipes and quality standards, manages cooking stations, coordinates timing and plating, inspects finished dishes, maintains sanitation and food safety, supports inventory and ordering, and directs cooks during shifts. The role serves large-scale hotel events while ensuring consistent food quality, presentation, operational efficiency, and compliance with health and safety regulations.
Events • Food • Travel • Hospitality • Hotels & Resorts
Operate, maintain, inspect, and repair hotel boiler systems and related equipment, including condensate and feed-water systems, air compressors, dryers, wastewater pumps, and heat recovery systems. Respond to emergency service requests, complete work orders, document maintenance activities, and identify issues requiring follow-up.
Top Skills:
Air CompressorsBoiler SystemsCondensate SystemsDryersFeed-Water SystemsHeat Recovery SystemsWastewater Pumps
Fintech • Mobile • Payments • Software • Financial Services
Provides technical support for Wise Platform enterprise API partners across multiple channels. Troubleshoots REST APIs, logs, databases, and production incidents; supports Wise API and SWIFT products; coordinates high-severity incident response with engineering and commercial teams; and shares partner issue trends to improve platform reliability and integration success.
Top Skills:
Api DocumentationBashGrafanaIdesJavaScriptJSONKibanaMicroservicesPythonRest ApisSwiftVersion ControlWeb AuthenticationZsh
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
