Senior Software Engineer (Hybrid, San Francisco)

TL;DR

Senior Software Engineer (Hybrid, San Francisco) (AI and scalable SaaS systems): Designing, building, and scaling significant systems and features for an AI-powered go-to-market platform with an accent on end-to-end ownership, system reliability, performance, and cost efficiency. Focus on solving ambiguous high-scope problems, making system design tradeoffs, and using AI-assisted development to deliver reliable production systems.

Location: Hybrid in San Francisco, United States

Salary: $195,400–$358,300 USD annually, including base salary and applicable annual bonus.

Company

AI-powered SaaS platform providing contact data, engagement tools, and end-to-end go-to-market solutions for revenue teams.

What you will do

• Own significant systems and features from design through production operation.
• Break down ambiguous, high-scope technical problems and drive them to shipped outcomes.
• Ensure the reliability, performance, correctness, and cost efficiency of owned systems.
• Collaborate with product, design, and engineering partners on cross-team initiatives.
• Establish engineering patterns and quality standards that improve team effectiveness.
• Use AI agents and AI-assisted development for design, investigation, and implementation.

Requirements

• Strong track record of owning and shipping systems at scale.
• Command of system design, data modeling, and reliability and cost tradeoffs.
• Ability to lead ambiguous work to clear outcomes.
• Current fluency with AI-assisted development.
• High standards for quality and strong ownership.
• Ability to work in a hybrid setup in San Francisco, United States.

Culture & Benefits

• AI-native culture with AI tooling and budget for development work.
• Equity and company bonus opportunities.
• 401(k), medical, dental, vision, FSA/HSA, and insurance benefits.
• Flex PTO, paid holidays, parental leave, and wellbeing support.
• Global travel coverage and employee assistance programs.
• Focus on ownership, continuous learning, collaboration, and autonomy.