The Petal mission

Petal’s mission is to bring financial opportunity and innovation to everyone. 

We're pioneering a new approach to credit, by analyzing an applicant’s banking history, in addition to credit history, to determine their creditworthiness. We call this technology a Cash Score — and it takes into account income, spending, and savings. It’s currently helping thousands of people qualify for credit at better rates, even if they’ve never had it before. 

We bring the same ingenuity to our credit card products. Our simple and intuitive app gives members access to credit score tracking, budgeting tools, subscription management, and automated payment options—everything they need to make financial progress. 

Now more than ever, Americans need help improving their credit safely, responsibly, and affordably. If this sounds like something you’d like to be a part of, apply now, and let’s change this trillion-dollar industry together. 

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 Engineering Manager, Data role

We're looking for a leader on our Data Engineering team to work closely with Product Managers, Analysts, Data Scientists and Software Engineers to support new product roadmaps and our existing operations by building the data architecture that informs and drives insights for Petal. Ideally, you have a deep understanding of data engineering best practices and you’re excited about organizing complex data sets and making them useful across the organization. As an Engineering Manager you’ll manage project goals, contribute to product strategy and help develop your team. As the technical leader of a growing team, you'll also be responsible for the technology choices, data architecture, and scalability of our data infrastructure.

Key responsibilities

• Grow and develop a team of hardworking and motivated engineers with high expectations around individual ownership and impact.
• Drive and contribute to technical projects and provide leadership in an innovative and fast-paced environment. 
• Responsible for the overall planning, execution and success of complex technical projects.
• Proactively drive the vision for BI and Data Warehousing and define and execute on a plan to achieve that vision.
• Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
• Build cross-functional relationships with Analysts, Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
• Define and manage SLOs for the data sets (e.g., data quality) and processes running in production.
• Recruit, interview, and onboard new team members.

Characteristics of a successful candidate

• 5+ years of experience designing, developing, testing, shipping, and scaling data infrastructure.
• Experience leading a team of engineers and holding your team, peers, and manager to high standards.
• A tendency to hold strong positions in team meetings.
• Being very approachable and naturally communicative.
• Displays inclusivity, kindness, and humility. Our inclusive and collaborative culture is what makes Petal a great place to work. We need diverse people who embody our core values to make it even greater.
• Strong self-management, sense of ownership, and organization. Petal’s open and collaborative environment enables proactive and organized employees to really shine.
• Collaborative, empathetic, listens with intent. Communication of complex, ever-changing business and technology concepts is hard. Creating a shared understanding and path forward via an open discussion is commonplace at Petal. 
• Passionate about systems design and robust software. Our platform changes often as we work and experiment to bring credit to as many people as we can. We are passionate about software architecture and fault tolerant production systems. 
• Detail-oriented; a strong focus on testing frameworks. Petal’s data engineering systems are complex and mission-critical. We rely on strong testing frameworks and a focus on the details of requirements to deliver features correctly. 
• Weighs trade-offs and focuses on value delivery. A fast-paced startup demands making trade-offs that balance the near term and long term value add of solutions. At Petal, we design robust systems, but try not to let the perfect be the enemy of the good.

Nice-to-haves

• Demonstrated experience with production Python
• Experience in a highly regulated industry such as finance or healthcare

For our California employment information privacy statement, please click here.