About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Staffing and Recruiting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Position Overview

Confidential client is hiring a Software Engineer - Growth Infrastructure to build the core systems that power expert acquisition, assessment, onboarding, and automated matching at scale. This role focuses on platform and tooling (not traditional marketing growth): outreach tooling, an AI-powered interviewer, assessment pipelines, onboarding flows, and the staffing pipeline that dispatches experts to projects. You will own systems end-to-end with strong operational ownership and a path to contributing to ML-driven recommendation systems.

• Location: San Francisco, CA
• Employment type: Full-time
• Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship.

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Responsibilities

• Build and maintain the expert marketplace infrastructure: outreach, interviewing (including AI interviewer), assessments, and onboarding tooling.
• Design and implement the hiring and staffing platform where experts are onboarded, managed, and matched to projects.
• Replace manual workflows with automations and internal tools that increase operational throughput for the growth team.
• Partner closely with growth and operations associates to identify bottlenecks, instrument funnels, and ship high-leverage improvements quickly.
• Evolve platform capabilities toward ML-driven recommendation systems that predict expert needs for new projects and help automate staffing.
• Own components end-to-end: design, implementation, testing, deployment, monitoring, and iterative improvement.

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Required Qualifications

• 2–5 years of professional experience as a Full-Stack Software Engineer (or equivalent experience building production systems).
• Proven track record of building features or systems end-to-end with a strong bias for ownership and operational excellence.
• Proficient in Node.js or Python in production environments.
• Experience with Kubernetes and deploying/operating containerized services.
• Practical experience building internal tools, automation, or production pipelines that replaced manual processes.
• Comfortable working directly with non-engineering stakeholders (growth/operators) to define and measure success.
• Bachelor’s degree or equivalent practical experience. Demonstrable alternatives (significant relevant experience, portfolio, or internships) will be considered.

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Preferred Skills

• Prior experience at a high-growth VC-backed startup, a marketplace, or growth infrastructure team.
• Experience building or operating marketplace systems, staffing platforms, or recommendation pipelines.
• Familiarity with Kafka, Redis, Elasticsearch (or similar streaming, caching, and search technologies).
• Experience working on human-data / AI operational products (e.g., data collection, interviews, human-in-the-loop systems).
• Demonstrated experience building or shipping ML-driven or data-driven product features is a plus.

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Compensation & Benefits

• Base salary range: $250,000 - $300,000 / Year (range provided for transparency in accordance with state law).
• Competitive benefits and equity may be offered by the confidential client; final package depends on experience and location.
• Additional benefits (health, retirement, paid time off) are administered by the hiring organization and will be discussed during the interview process.

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Location & Hiring Details

• Work location: San Francisco, CA (onsite or hybrid arrangements are determined by the confidential client).
• Applicants must be legally authorized to work in the U.S. without sponsorship.
• The confidential client is committed to an inclusive hiring process; reasonable accommodations are available upon request.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.