Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.

Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely.

To support our team, we offer:

• Commuter benefits to ease your travel

• Lunches and snacks to keep you fueled

• A collaborative, high-growth environment where you’ll work closely with talented teammates across the company

Expectations (In this role, you will):

• Define the strategy and roadmap for risk infrastructure and technologies used at Mudflap

• Partner with Engineering and Data Science to develop and execute a test-driven Machine Learning (ML) strategy for risk mitigation

• Act as the voice of the customer when it comes to risk tools and design, gathering direct feedback from customers

• Collaborate with cross-functional teams and stakeholders to understand and define the risk strategy and optimize risk operations

• Understand customer and external partner risk needs, and work with internal product owners to deliver effective risk tools across all product areas (mobile/web apps, APIs, etc)

• Be the subject matter expert on both external and internal platforms and tools when it comes to KYB, identity, and fraud

• Synthesize complex information and strategic inputs, write clear requirements, and communicate effectively to technical and non-technical business partners

• Own the end-to-end product lifecycle from ideation to launch, and be accountable for ongoing success criteria and metrics

Experience (What we look for):

• A proven track record of building and scaling successful products

• An understanding of what it takes to drive product development for both mobile app and web products in a fast-paced environment

• Enthusiasm for solving difficult technical challenges and delivering outcomes that improve customers’ lives

• A data-savvy mindset with the SQL skills to complement it

• An understanding of fraud patterns in eCommerce & FinTech products

• A detail-oriented approach to conducting deep dives into emerging fraud trends and recommending appropriate mitigation strategies

Perks and Benefits (What we offer):

• Competitive salary and equity in a high-growth startup

• Multiple health benefit options

• Responsible Time Off

• 401(k) matching

• Opportunities and support for major career growth

• Annual Company offsite event (Mudfest!)

The salary range for this role is $195,000–$215,000 + equity. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation.

Company Overview (Who we are):

Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.

Here are the core values that we believe in and look for in new teammates:

• Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do

• Make it Count: Act like an owner by focusing on the impact of your work

• Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates

• Sweat the Details: We keep our standards high and achieve them by paying attention to every detail

• Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible