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(Senior) Product Manager, Data Platform
(Senior) Product Manager, Data Platform
This job is no longer open
The Petal mission
Petal’s mission is to expand access to opportunity by making responsible, modern financial services available to everyone. Founded in 2016, Petal provides technology-enabled credit cards to consumers who are historically underserved by mainstream providers.
Petal pioneered automated cash flow underwriting, a transformative new approach to assessing consumer creditworthiness with the potential to expand access to tens of millions of U.S. consumers without credit history, or for whom traditional credit scores do not tell the whole story. Petal pairs this groundbreaking, data-driven underwriting technology with a mobile-first, digitally native product experience designed to help users manage and build credit responsibly. For Petal, it’s a mission as much as it is a business—with a goal to reimagine finance for the next generation of consumers.
At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
The Product Manager, Data Platform Role
Petal uses data and technology in new ways to gain a full picture of an applicant’s financial profile and an accurate view of their creditworthiness. In doing so, Petal is able to achieve our mission of building credit among the 70+ million people who don’t have access.
This Data Product Manager role drives the vision, roadmap and priorities of the team that enables the data infrastructure and tools that handle all of that data from ingestion and replication to transformation, querying, and reporting. A data-focused company needs the best data technology stack and this team delivers on that. As a Product Manager, you will work with the Engineering team to create the vision for our data stack, outline a roadmap to get there, write out specs that detail how it all works and help project manage it to completion.
As a member of a team that is still growing within Petal, you will have the opportunity to help shape the Data Infrastructure team’s identity and footprint. The ideal candidate possesses strong technical skills, is comfortable working on ever-changing problems, works well cross-functionally, has a sharp eye for details, proactively owns and solves problems, and is always excited to learn.
Key responsibilities:
- Define the long-term vision and strategy for Data Infrastructure at Petal. Develop and maintain a product roadmap with the highest impact initiatives.
- Collaborate with Data Science, Analytics, and application Engineering teams to identify data platform user needs, pain points and areas for improvements.
- Align with the product development team and stakeholders across the company to prioritize the most important opportunities and share the team’s long-term vision and strategy.
- Work alongside a top-notch Data Engineering team to drive and execute the highest priority initiatives. Keep the project moving forward on the right path. See around corners to identify potential problems early and address them quickly.
- Create organizational alignment around the best ways to work with data company-wide. Articulate and evangelize improvements to processes and ownership around how data flows throughout our systems.
- Focus on results. Define metrics to measure the impact of initiatives. Analyze outcomes post-launch to identify how the changes perform compared to expectations. Celebrate the wins and learn from the misses to drive further iteration.
- Manage technology vendors to advocate for Petal’s needs.
Characteristics of a successful candidate:
- 2-4 years of Product Management experience (or 5+ years for Senior Product Manager). You’ve launched many software development projects of increasing complexity and learned from each of them. You have a deep understanding of the techniques and methods of modern product discovery and product delivery.
- Experience solving difficult problems with many constraints. You gather expert input, analyze risks, make good decisions and communicate your thinking clearly.
- Excellent collaboration skills. You foster an environment where your peers feel comfortable sharing information freely and working jointly on solutions. Your clear articulation of the needed context helps team members see how their work fits into the bigger picture. Seek out others input, listen closely to stakeholders and draw out key points.
- Strong data technology skills. Experience managing a data warehouse and working on data infrastructure and developer products. You are very familiar with database systems and querying languages. Proficient in SQL
- Strong technical fluency. You are comfortable with technical conversations around data, 3rd party integrations and technical architectures. You serve as a thought partner to engineering around technical tradeoffs.
- Strong interest in improving developer productivity and optimizing developer workflows.
- BA/BS or greater in Computer Science or a related field
- Strong interest in the Petal mission and culture!
Nice to haves:
- Experience as an advanced data user (e.g., data engineer, data scientist, data analyst)
- Experience with Big Data technologies (e.g., Apache Spark, Presto)
- Experience with workflow schedulers (e.g., Argo, Airflow)
- Experience with data creation products (e.g., dbt)
- Familiarity with the tools we use: postgres, Redshift, Looker, dbt.
- Familiarity with credit cards or lending
Petal is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.
For our California employment information privacy statement, please click here.
This job is no longer open