Software Engineer

DevExplore; San Francisco (CA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Health & Wellness

In-Office Perks

Flexible vacation

Diversity & Inclusion

Job summary

Roadrunner is replacing legacy CPQ software with a new AI-enabled stack called PQA (Prompt, Quote, Approve). The team operates fully in-person in San Francisco, collaborating with engineers from top tech firms.

You will own the product end-to-end, design proactive AI agents for quoting and approvals, and build high-performance engines for multi-billion-dollar deals while maintaining close customer feedback loops with AEs.

Qualifications

• Proven track record shipping end-to-end software products.
• Clear tradeoffs between speed and code quality.
• High autonomy with a builder's mindset.
• Clear, direct communication across technical and business audiences.
• Location: based in San Francisco, CA or willing to relocate.

Responsibilities

• End-to-End Product Ownership: Build production-grade, fast, and reliable systems across Roadrunner’s core platform for Account Executives (AEs).
• Agentic AI Deployment: Design and ship proactive AI agents that automate quoting, complex deal modeling, and multi-step enterprise workflows.
• Enterprise-Scale Engineering: Build high-performance workflow engines that power approval flows for multibillion-dollar transactions with sub-millisecond response times.
• Direct Customer Feedback Loops: Work directly with AEs in the field to understand pain points, iterate rapidly, and continuously ship improvements.

Skills

Proven Track Record

Engineering Fundamentals

Autonomy

Communication

Job description

About Roadrunner

Roadrunner is replacing broken legacy CPQ (Configure, Price, Quote) software with a new agentic stack called PQA (Prompt, Quote, Approve), built on a data model designed for modern enterprise pricing. As Kleiner Perkins' first incubation since Glean, Roadrunner is led by second-time founders with successful exits and a team of engineers from Snowflake, Databricks, Citadel, Meta, Robinhood, and Brex. The team operates fully in-person in San Francisco.

What You’ll Do

• End-to-End Product Ownership: Build production-grade, fast, and reliable systems across Roadrunner’s core platform for Account Executives (AEs).
• Agentic AI Deployment: Design and ship proactive AI agents that automate quoting, complex deal modeling, and multi-step enterprise workflows.
• Enterprise-Scale Engineering: Build high-performance workflow engines that power approval flows for multibillion-dollar transactions with sub-millisecond response times.
• Direct Customer Feedback Loops: Work directly with AEs in the field to understand pain points, iterate rapidly, and continuously ship improvements.

Example Projects

• Rapid Feature Sprints: Taking new features from concept to production in two-week sprints, iterating directly with active field users.
• Proactive Quoting Agents: Building AI agents that surface pricing recommendations and model complex deal structures before an AE requests them.
• High-Throughput Approval Engines: Designing sub-millisecond approval workflow engines capable of handling enterprise-scale, multibillion-dollar deals.

What You’ll Bring

Requirements

• Proven Track Record: Experience building and shipping high-quality software products end-to-end.
• Engineering Fundamentals: Clear understanding of technical tradeoffs between speed and code quality, and when to optimize for each.
• High Autonomy: A strong builder's mindset with the ability to identify high-value problems and execute independently.
• Communication: Clear, direct communication across both technical and business audiences.
• Location: Based in San Francisco, CA (or excited to relocate) for an in-person team environment.

Bonus Points

• Hands-on experience building or deploying AI/LLM systems in production.
• Familiarity with agentic tooling, LLM evaluation frameworks, or RAG pipelines.
• Background as a founder or early-stage startup engineer with true end-to-end ownership.
• Experience engaging directly with enterprise customers or external technical stakeholders.

Benefits & Culture

• Health & Wellness: Comprehensive medical, dental, and vision benefits for employees and their families.
• In-Office Perks: Daily lunch, dinner, snacks, and coffee.
• Time Off: Flexible "take-what-you-need" vacation policy.
• Equal Opportunity: Committed to diversity and inclusion across all identities and backgrounds.