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, Human Resources.

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

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Overview

Confidential Client is seeking a talented Full Stack Engineer to work at the intersection of software engineering, venture capital, and AI. This mid-senior, full-time engineering role will design and ship internal platforms that power investment decisions, technical diligence, and portfolio support. You will partner with investors, founders, and operators to build production-grade tools that create operational advantages and accelerate deal-making.

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What You’ll Do

• Design and build internal platforms — proprietary sourcing tools, CRM systems, portfolio management apps, and AI-driven workflows.
• Partner with investment professionals to evaluate emerging technologies and perform technical diligence on prospective investments.
• Rapidly prototype and deploy features that improve how teams source opportunities, assess companies, and support portfolio businesses.
• Build AI-driven tools and automation to improve decision-making and operational efficiency.
• Collaborate directly with founders and engineering leaders to solve technical challenges and surface exceptional talent.
• Maintain production systems using modern cloud infrastructure and best practices for reliability and security.

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Qualifications

• 2–5 years of professional full-stack software engineering experience.
• Strong proficiency in Python and TypeScript.
• Experience building production-grade applications on modern cloud platforms (GCP preferred).
• Solid engineering fundamentals: APIs, data modeling, testing, CI/CD, and observability.
• Exceptional problem-solving skills and a bias toward action.
• Excellent written and verbal communication; comfortable engaging technical founders and senior business leaders.
• Bachelor's or Master's degree in Computer Science or a related technical discipline, or equivalent demonstrated technical excellence.

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Preferred Qualifications

• Experience building AI-powered products, developer tools, or internal platforms.
• Public GitHub projects, open-source contributions, or a portfolio of personal software projects.
• Familiarity with machine learning tooling, MLOps patterns, or generative AI integrations.
• Interest or experience in startups, venture capital, and early-stage technology evaluation.

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Why This Opportunity?

Few engineering roles combine software development, AI, and direct exposure to investment decisions. You’ll work alongside experienced investors and founders while building technology that meaningfully influences where capital is deployed and how portfolio companies scale. This role is an excellent fit if you want high ownership, fast learning, and frequent exposure to cutting-edge technologies.

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Location & Employment

• Work location: On-site — San Francisco Bay Area or New York City office (candidates should expect to work from the listed office location).
• Employment type: Full-time, Mid–Senior level.

Pay transparency / state compliance note:

• Compensation is competitive and commensurate with experience. In accordance with applicable pay-transparency laws, applicants in California and New York may request the pay scale and compensation details for this role. Careertakes and our client will provide pay scale information upon request or during the interview process.

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What We Value

• Product-minded engineers who move quickly from idea to production.
• Curiosity about emerging technology, AI, and startup ecosystems.
• Clear communicators who can translate technical tradeoffs for non-technical stakeholders.
• High ownership, pragmatic decision-making, and strong collaboration skills.

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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.