Senior Software Engineer

Recruiting From Scratch•San Francisco, CA
•Hybrid

About The Position

The Senior Software Engineer will design, build, deploy, and operate significant systems and features for an AI-powered, end-to-end go-to-market platform used by more than 500,000 companies. The role focuses on large-scale distributed systems and AI-native product capabilities, including agent-driven customer workflows. Engineers own systems throughout their lifecycle and are accountable for reliability, correctness, performance, scalability, and cost. The position involves solving ambiguous technical problems, making architectural decisions, and selecting technologies suited to each challenge. The engineer will collaborate with engineering, product, design, and leadership, and use AI-assisted development tools in everyday work. The company is profitable, fast-growing, and rebuilding its platform around AI and agent-driven workflows. This is a full-time hybrid role based in San Francisco, California, with three days per week in the office. The stated base salary range is $170,000–$311,000, with a 15% target bonus and competitive equity. Compensation within the range depends on leveling during the interview process.

Requirements

  • 5–8 years of professional experience in backend or full-stack software engineering.
  • Demonstrated experience building and operating large-scale distributed systems.
  • Strong software engineering fundamentals and sound architectural judgment.
  • Experience owning significant systems or features from design through production and ongoing operation.
  • Ability to select and combine technologies to solve complex engineering problems.
  • Strong problem-solving skills and comfort with ambiguous requirements.
  • Track record of delivering reliable, performant, and maintainable production software.
  • Experience collaborating across engineering and product teams.
  • Interest in building AI-native products and agent-driven systems.
  • Willingness to work hybrid, including three days per week in the San Francisco office.

Nice To Haves

  • Experience operating distributed systems at significant scale.
  • Experience building backend platforms or complex full-stack products.
  • Experience with event-driven architecture, messaging systems, or Kafka.
  • Experience with databases, search infrastructure, and data-intensive applications.
  • Experience deploying and operating services using containers and cloud infrastructure.
  • Experience with AI-powered applications, agentic systems, or AI-native product development.
  • Experience using AI coding assistants or agents in everyday engineering workflows.
  • Experience owning complex systems with accountability for reliability, performance, and cost.
  • Familiarity with Ruby, Ruby on Rails, Python, React, MongoDB, Elasticsearch, Kubernetes, Docker, Terraform, Google Cloud Platform, or Kafka.

Responsibilities

  • Design, build, deploy, and operate significant systems and features, taking accountability for performance, reliability, correctness, and cost.
  • Develop and operate distributed systems that support hundreds of thousands of companies.
  • Break down ambiguous technical challenges, make architectural decisions, and drive solutions through production.
  • Build AI-powered capabilities and agent-driven workflows.
  • Select and combine appropriate technologies for complex engineering problems.
  • Collaborate with engineering, product, design, and leadership to deliver high-impact features.
  • Use AI coding tools and agents to accelerate design, investigation, and implementation.
  • Continuously improve system architecture, scalability, reliability, and performance.
  • Take ownership of important engineering initiatives while working independently and collaboratively.

Benefits

  • 15% target bonus.
  • Competitive equity.
  • Budget and autonomy to use AI development tools such as Copilot and Cursor.
  • Opportunity to own significant systems and high-priority engineering initiatives.
  • Opportunity for senior individual contributors to collaborate with senior engineering leaders and executives.
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