Responsibilities

Define the cross-company technical vision and roadmap for the pricing platform across Pricing, Personal Loans, Auto, HELOC, ML, and Product organizations.
Lead the architectural evolution toward modular, reusable platform capabilities across loan products.
Design and improve Tier 0 and Tier 1 services with critical latency, throughput, availability, and financial-correctness requirements.
Partner with machine-learning scientists and engineers to create scalable boundaries between models and production pricing systems.
Clarify service, API, configuration, and ownership boundaries across multiple platform teams.
Evaluate runtime and language choices, including Python, Kotlin, Rust, and Go.
Improve testing, observability, failure isolation, incident learning, and blast-radius reduction.
Lead company-wide technical discussions, communicate trade-offs, and build alignment across technical and business stakeholders.
Stay involved through design reviews, prototypes, debugging, and critical code while mentoring senior technical leaders.
Prioritize technical debt and platform investments based on business value, risk reduction, and long-term return.

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience, plus 8 or more years of software engineering experience.
Track record of setting architecture and technical direction for large, complex distributed systems used across multiple teams or products.
Deep backend engineering experience and production proficiency in at least one of Python, Kotlin, or Java, with the ability to work in a predominantly Python environment.
Experience designing or operating Tier 0 or Tier 1 services with demanding latency, throughput, availability, and correctness requirements.
Strong understanding of APIs, service-oriented or modular architectures, containerization, cloud infrastructure such as AWS, and maintainable software design.
Hands-on ability to translate strategy and architecture into concrete designs, prototypes, debugging, and implementation decisions.
Strong communication skills for explaining complex systems, constraints, and trade-offs to technical and nontechnical audiences.
Demonstrated success leading cross-organization technical decisions and influencing without direct authority.
Experience mentoring senior engineers and expanding the effectiveness and scope of technical leaders.
Strong product and business judgment involving delivery, reliability, technical debt, risk, and long-term investment.
Preferred experience with real-time decisioning, pricing, marketplace, risk, fraud, payments, trading, auction, or advertising systems.
Preferred experience partnering with machine-learning teams or productionizing models at scale.
Preferred experience modernizing mature or tightly coupled platforms through staged migration.
Preferred experience with AWS, Kubernetes, microservices, event-driven systems, and production observability.
Additional production experience with Rust or another performance-oriented language and exposure to quantitative domains are preferred.

Benefits

Remote, digital-first work arrangement with employees generally able to work anywhere in the United States and regular team onsites, typically once or twice per quarter for 2–4 consecutive days.
Base salary range of $195,300–$270,400 USD, plus target bonuses and equity compensation.
Medical, dental, vision, wellness resources, health savings account contributions, life insurance, and disability coverage.
401(k) or Canadian Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually.
Employee Stock Purchase Plan with discounted stock purchase options for eligible US employees.
Paid time off, sick leave, company holidays, and paid family and parental leave.
Family-centered fertility, parenthood, and caregiving benefits plus an Employee Assistance Program.
Annual wellness and productivity allowances, financial wellness resources, team events, company updates, and employee resource groups.
Catered lunches and stocked micro-kitchens at company offices in the Bay Area, Austin, Columbus, and New York City.

Principal Software Engineer, Pricing Platform

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