Über diese Senior Data Product Manager Stelle bei FastSpring
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.
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.
