[All remote jobs](https://jobicy.com/jobs.md)Open role[![FastSpring logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2024/04/76c6c41f-221.jpeg)](https://jobicy.com/company/fastspring.md)Remote opportunity at[FastSpring](https://jobicy.com/company/fastspring.md) # Senior Data Product Manager Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/fastspring.md)Share26 Aug 2026Published27Listing views2Application actions25 Sep 2026Apply before Opportunity details ## About this role. AI SummaryFastSpring is seeking a Senior Data Product Manager to own strategy and delivery for data products that provide actionable seller insights and strengthen trust in its subscription-billing platform. The role combines product discovery, roadmap leadership, customer research, analytics, and close partnership with data engineering on a next-generation data warehouse. The successful candidate will translate data use cases into prioritized features, user stories, measurable success criteria, and go-to-market plans. This is a senior, cross-functional role reporting to the VP of Product and operating in a fast-paced SaaS and payments environment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires senior product judgment across technical data architecture, customer needs, and commercial outcomes. It also demands alignment among executives, engineering, internal teams, and external stakeholders while managing several high-priority initiatives. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$169,000US market range$145k–$205k0$226k AI insightThe disclosed US yearly base-pay range is $150,000 to $188,000 USD, with a midpoint of $169,000. A typical US market base-salary range for a senior data product manager in SaaS/payments is approximately $145,000 to $205,000 yearly; total compensation may be higher when bonus and equity are included. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data Product Management](https://jobicy.com/jobs?search_keywords=Data%20Product%20Management.md)[Product Strategy](https://jobicy.com/jobs?search_keywords=Product%20Strategy.md)[Product Roadmapping](https://jobicy.com/jobs?search_keywords=Product%20Roadmapping.md)[Data Warehousing](https://jobicy.com/jobs?search_keywords=Data%20Warehousing.md)[Data Pipelines](https://jobicy.com/jobs?search_keywords=Data%20Pipelines.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Data APIs](https://jobicy.com/jobs?search_keywords=Data%20APIs.md)[SaaS](https://jobicy.com/jobs?search_keywords=SaaS.md)[Payments](https://jobicy.com/jobs?search_keywords=Payments.md) Sample interview questionsHow would you develop a data product roadmap for FastSpring's sellers?I would begin with seller interviews, support themes, product-usage data, and internal stakeholder input to identify high-value decisions sellers need to make. I would segment use cases by customer impact, revenue potential, feasibility, data quality, and strategic fit, then sequence initiatives into a roadmap with explicit outcomes, adoption targets, and leading metrics. Describe how you would partner with data engineering on a next-generation data warehouse. I would define the customer and business use cases first, including required metrics, data freshness, access patterns, governance needs, and expected scale. From there, I would work with engineering to convert those needs into a phased technical plan, balancing foundational schema and pipeline work with incremental user-facing value. How do you validate a proposed analytics feature before committing significant engineering resources? I use a combination of customer interviews, prototype testing, analysis of existing behavioral data, and a clearly stated hypothesis. I define success measures in advance, such as activation, repeat usage, decision time saved, retention, or revenue impact, and use a limited release to validate assumptions before scaling. How would you prioritize competing requests from executives, sellers, and internal teams? I would create a transparent prioritization framework that considers customer value, strategic alignment, business impact, confidence, effort, risk, and dependencies. I would communicate trade-offs openly, use evidence rather than stakeholder seniority alone, and revisit priorities as new customer or market signals emerge. What data and payments considerations are important when building seller-facing analytics? I would ensure metric definitions are consistent and traceable across payment processors, gateways, authorizations, settlements, refunds, and subscription events. I would also prioritize data quality, reconciliation, permissions, privacy, latency expectations, and clear explanations so sellers can trust the insights and act on them confidently. About FastSpring: FastSpring is how AI, SaaS, gaming, software, and digital product companies sell online in more places around the world. We handle all payment needs from checkout to taxes so you can go farther faster. Founded in 2005, we are a privately owned company headquartered in Santa Barbara with offices in Amsterdam, Austin, Belfast, Dublin, Halifax, and Singapore. The Position: FastSpring is looking for a Senior Data Product Manager who has operated as a product innovator and data steward to drive both product innovation in analytics and trust for our sellers. FastSpring is a SaaS leader in subscription billing. This person will be responsible for executing the product strategy by discovering and delivering winning solutions that solve unmet needs, delights customers, and drive business growth. You will work cross-functionality with various teams and executives to identify market growth opportunities, prioritize features, and execute go-to-market strategies. This role will report to the VP of Product who reports to the CPTO. Responsibilities: * Define, evangelize, and execute a data product roadmap that services our sellers needs by providing actionable insights in and out of the FastSpring ecosystem. * Gather data use cases for both external and internal customers to craft a next generation data warehouse for improved efficiency and performance and partner with data engineering to implement it. * Identify and prioritize new product opportunities based on internal and external research and deep understanding of customer challenges and market trends. * Work closely with a dedicated agile development team to define user stories, research appropriate technical solutions, coordinate delivery, and drive adoption. * Gather and synthesize user feedback from various inputs to identify, prioritize, and champion new product opportunities to drive business outcomes. * Collaborate with internal and external stakeholders to develop business cases for new product development ideas, lead the prioritization of these ideas, and work to gain alignment across the business. * Develop a deep understanding of the market and our users by interviewing customers and stakeholders, conducting competitive analysis, and keeping abreast of industry news and trends. * Rigorously test and validate new ideas, present fact-based rationale for product prioritization initiatives, and establish and measure success metrics. * Define and measure product feature success based on objective and observable criteria. Qualifications: * 5+ years of product management experience in a SaaS environment. * Understanding of data pipelines, schemas, and the tools that enable them. * Proficiency in SQL, Python, R, or equivalent analytical tools. * Experience with Data APIs. * Exceptional communicator (written, verbal and presentation); able to quickly synthesize and communicate complex concepts to a wide range of audiences. * Problem solving and get-stuff-done attitude. * Experience leading cross-functional teams to deliver measurable impact. * Ability to excel in a fast-paced environment, juggling multiple high priority tasks at once. * Experience with some aspects of payments including payment processors and gateways, acquiring banks, card networks, authorizations, and settlements is preferred. Consistent with FastSpring’s values and applicable law, we provide the following information to promote pay transparency and equity. The base pay range below represents a good faith estimate of the low and high end base pay range for the listed position. This role may be eligible for the corporate bonus plan (or, if a sales role, a commission plan as defined in the sales incentive plan document). In addition, FastSpring provides a variety of benefits to employees. Estimated Base Pay Range $150,000—$188,000 USD About the Company: FastSpring is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION employer. Candidates are considered for employment with FastSpring without regard to their race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, veteran status (specifically status as a disabled veteran, special disabled veteran, Vietnam Era veteran, recently separated veteran, armed forces service medal veteran, or other protected veteran) or other classification protected by applicable federal, state or local law. AI Transparency Statement: FastSpring may utilize artificial intelligence (AI) or automated tools during portions of the recruitment process to assist with operational and administrative activities, including candidate communications, scheduling, application organization, and interview documentation. These tools are designed to support efficiency and consistency within the hiring process. AI systems are not used as the sole determinant of hiring outcomes, and all employment decisions are made by qualified human reviewers. We are committed to responsible and fair hiring practices and continue to evaluate our use of technology accordingly. 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