Staff Engineer

Clera

• $250K — $300K *
San Francisco, CA 94112In-Person
Enterprise Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 10+ years of software engineering experience in large-scale production environments.
  • Hands-on experience with Linux servers in production settings.
  • Familiarity with agent orchestration, LLMs, or web scraping techniques.
  • Experience designing or maintaining APIs and distributed systems.
  • Proven ability to manage ambiguous projects from architecture to deployment with minimal oversight.
  • Degree in computer science or a related field from a reputable institution.
  • Previous experience at high-growth tech companies or startups, with founding experience preferred.
  • Must be based in San Francisco and available for on-site work.

Responsibilities

  • Design and develop core infrastructure for a people-data and agent platform.
  • Architect and maintain high-performance production systems for millions of API requests.
  • Oversee projects from definition through deployment and iterative improvement.
  • Collaborate with senior leadership on technical decisions and architecture.
  • Contribute to various projects including documentation, tools, and experimental builds.

Benefits

  • Equity options available as part of the compensation package.
  • Opportunity to influence the long-term technical direction of a startup.
  • Work in a collaborative and innovative environment with senior leadership.
  • Contribute to cutting-edge technology in the AI and people-data space.
Full Job Description
About the Role

This is a high-ownership Staff Engineer role at a seed-stage AI and people-data company in San Francisco. You will be a foundational technical contributor, shaping core infrastructure and platform architecture at a critical early stage. The work directly influences the company's long-term technical direction.
What You'll Do
  • Design, build, and operate core infrastructure for a people-data and agent platform, including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture.
  • Architect and maintain production-grade systems capable of handling millions of API requests, with a focus on performance, cost efficiency, and reliability across cloud and Linux server environments.
  • Own projects end-to-end, from ambiguous problem definition through deployment and iteration, shipping quickly without compromising system integrity.
  • Collaborate directly with senior leadership on technical decisions, roadmap priorities, and foundational architectural choices.
  • Contribute broadly across the stack, including developer documentation, technical tutorials, internal tooling, and experimental builds that showcase and stress-test APIs.
What We're Looking For
  • 10 or more years of professional software engineering experience shipping code to production at scale.
  • Hands-on experience with Linux servers in a production environment.
  • Experience with agent orchestration, LLMs, or web scraping.
  • Experience designing or operating APIs, distributed systems, cloud infrastructure (AWS or GCP), or high-volume data pipelines.
  • Demonstrated ability to take ambiguous projects from architecture through deployment and iteration with minimal oversight.
  • A degree in computer science or a closely related field from a well-regarded university.
  • Experience at a high-growth tech company or early-stage startup; previous founding experience is a plus.
  • Based in San Francisco and comfortable working on-site.
Compensation & Benefits

Base salary in the range of $250,000 to $300,000 USD annually, plus equity. Visa sponsorship is not available for this role.
Location

On-site in San Francisco, CA, United States.
* Ladders Estimates

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