• Lead and develop a multidisciplinary engineering team, fostering a culture of technical excellence, ownership, and continuous improvement. • Mentor engineers at all levels, supporting their growth through coaching, feedback, and clear expectations. • Own the full lifecycle of integrations with PSPs, acquirers, and gateways, from technical design to deployment and production monitoring. • Drive hands-on technical contribution through architecture design, code reviews, and complex troubleshooting, setting the technical bar for your team. • Set and enforce best practices across coding standards, testing, observability, and documentation. • Ensure the team follows secure software development practices, including OWASP standards, data privacy, and compliance requirements. • Guide architectural decisions for low-latency, high-availability backend systems and microservices. • Champion an AI-first engineering culture, setting standards for AI-assisted development, code generation, and automated testing, ensuring your team leverages these tools as a default, not an afterthought. • Collaborate closely with Product, Compliance, and Business teams in an agile environment to deliver against a fast-moving roadmap. • Drive the evolution of APIs and integration frameworks that scale across countries and providers.

• Lead and manage the development team setting development standards while remaining deeply hands-on in coding and architecture • Own the end-to-end development lifecycle, from design through delivery and iteration • Drive execution of product roadmap items, ensuring timely and high-quality releases • Oversee ongoing system maintenance, stability, and performance, including: Bug fixes and issue resolution, Continuous improvements and enhancements, Proactive monitoring and technical debt management • Define and enforce engineering best practices, coding standards, and development processes • Architect scalable, reliable, and secure systems • Collaborate cross-functionally with product, leadership, and stakeholders • Mentor and grow engineers, fostering a culture of ownership and technical excellence • Partner with customers and internal stakeholders to support: Proof of Concepts (POCs), Proofs of Technology (POTs), Technical validation and solution design efforts • Identify and implement opportunities to leverage AI in: Development productivity (e.g., tooling, automation), Product capabilities and innovation

• Lead, coach, and develop a team of 6 engineers spanning streaming, data lakehouse, serving layer, and platform infrastructure — with genuine curiosity about each domain • Serve the team by removing obstacles, shielding them from organizational noise, and ensuring they have what they need to ship • Own the quarterly plan and sprint-level execution: translate OKRs into milestones with clear owners, timelines, and success criteria — and keep them updated without being asked • Coach each engineer toward their next level, with specific plans, timely feedback, and active promotion sponsorship when the work is done • Champion engineering best practices: design reviews before major changes, ADRs for architectural decisions, blameless post-mortems, automated testing, and data quality as a first-class citizen in every pipeline • Manage the on-call rotation and incident response process so that reactive work doesn't consume the team's capacity to build • Build an understanding of the data cloud architecture — not to design it, but to ask better questions, anticipate risks, and have credible conversations with stakeholders • Foster a culture of curiosity and continuous learning, where engineers explore new technologies, share knowledge, and question assumptions • Hire exceptional talent to grow the team with a focus on diversity, raising the bar, and complementing existing strengths • Drive AI adoption across the team's engineering workflows — the team has a mandate for AI adoption, and you'll be expected to be a role model, to champion this, remove friction, and help engineers integrate AI tools into their daily development, code review, documentation, and debugging practices •

At Edmunds we’re driven to make car buying easier. Ever since we began publishing printed car guides in the 60’s, the company has been in the business of trust, innovating ways to empower and support car shoppers. When Edmunds launched the car industry’s first Internet site in 1994, we established a leadership position online and have never looked back. Now, as one of the most trusted review sites on the Internet, millions of visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car. For consumers, we bring peace of mind. For dealers, we make tools to help them solve their problems and sell more cars. How do we do it, you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting-edge technology. Want to join the team? Read on to find out how! What You’re Applying For: We are seeking a highly skilled Senior Staff Engineer/Director, Statistical Engineering to lead AI/Machine Learning innovation, statistical innovation, and advanced analytics for the New Vehicles domain. This role is accountable for delivering measurable business impact through advanced modeling, data driven insights, and strategic technical leadership, directly shaping our pricing and valuation products. What You’ll Do: - Set the technical vision and roadmap for new-vehicle analytics, ensuring alignment with overall Pricing and Statistical Engineering strategies. - Identify and incorporate modern statistical techniques, machine learning, and generative AI into valuation, pricing, and forecasting systems. - Architect, develop, and validate statistical and machine learning models for new-vehicle pricing, TMV/valuation systems, and time-series forecasting, ensuring accuracy, scalability, and robustness. - Guide the design of rigorous experiments, calibration frameworks, and evaluation methodologies. - Lead end-to-end execution of strategic, complex initiatives, overseeing timelines, prioritization, and resourcing. - Communicate results, recommendations, and technical concepts clearly and impactfully to executive leadership and business partners. - Collaborate closely with the internal Stats group to maintain technical alignment and shared documentations. - Partner with Product, Engineering, Data, and Business stakeholders to integrate models and insights into downstream systems. What You Need: - Core Qualifications: PhD in a quantitative field (Statistics, Econometrics, Data Science, or related). - 8+ years (Senior Staff) / 10+ years (Director) of applied analytics and statistical modeling experience. - Technical Expertise: Deep expertise in Machine Learning, time-series forecasting, and advanced statistical methods. Strong proficiency in Python, SQL, and cloud-based data environments. Proven track record leading complex, high-impact analytical initiatives. - Leadership & Communication: Excellent communication skills, strategic thinker, and collaborative leader focused on owning and innovating the new-vehicles analytics space. - Plus: Automotive pricing or valuation experience. The compensation range for this position is $184,000 - $254,000 per year. The base pay will take into account internal equity as well as job-related knowledge, skills, and experience among other factors. In addition, Edmunds offers full-time employees a comprehensive total rewards package including the benefits listed below. Edmunds Perks: - Flexible time off - 13 Paid Holidays - Comprehensive Health Benefits (medical, dental, vision, life and disability) - Flexible Spending Accounts (Employees) and Health Savings Accounts (Employee and Employer Contributions) - 401K Plan with company matching at 100%, up to 6% of eligible salary with immediate vesting - Stock purchase program - CarMax vehicle discount - Up to 4 months Paid Parental Leave - HeartCash matches employee donations to the causes that are important to them - 2 Days of Paid Time Off for time to dedicate to social impact causes - FitCash covers a portion of gym or fitness activity fees - Well-being sessions - Employee Recognition Program - On-going career development opportunities - Pet insurance - Sabbatical leave - Education Reimbursement - Pre-tax spending accounts for qualified transportation expenses Working @ Edmunds.com: Employees think it’s a pretty great place to work and some pretty impressive publications think it is too: we have been recognized as one of the best places to work by Fortune Magazine, Great Places to Work, LA Business Journal, Newsweek, Computerworld, Built in LA, Inc. Magazine, The Wall Street Journal, Business Week Magazine, and Architectural Record. We've also been identified as one of the best workplaces specifically in Technology, for Diversity and Asian Americans, and as a Newsweek Most Loved Workplace for LGBTQ+ employees. If you’re interested in learning more and joining our mission, we’d love to hear from you! Edmunds will consider for employment qualified candidates with criminal histories in a manner consistent with the requirements of all applicable laws. #LI-Remote #BI-Remote