About
Full-Time | Hybrid (4–5 days onsite)
Compensation:
$250,000 – $350,000 OTE
Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.
The Opportunity We are recruiting on behalf of a premier global technology investment firm with a 26-year track record of delivering market-leading returns. With over 200 employees across San Francisco, New York, and London, our client operates with a flat, entrepreneurial culture. This is a rare opportunity to join a small, high-impact data organization as a core member. You will work directly with the Head of Data to build the firm’s foundational data infrastructure from the ground up, transitioning fragmented data into a sophisticated, AI-driven investment engine. This is not a "maintenance" role; you will be building production-oriented systems that directly influence investment decisions. Note: This role does not support sponsorships Key Responsibilities Architect & Build:
Design and maintain robust data pipelines from diverse structured and unstructured sources (CRM, emails, IC materials, third-party vendor data, etc.). Infrastructure Ownership:
Implement and manage a modern data stack centered around Snowflake and AWS. AI Integration:
Develop scalable systems that support downstream analytics and "agentic" AI workflows to automate complex investment processes. Engineering Judgment:
Use AI-assisted coding tools (e.g., Claude Code) to accelerate development while applying high-level engineering judgment to evaluate and refine output. Cross-Functional Collaboration:
Act as a technical partner to the CTO, Operating Team, and Investment Professionals, translating complex technical concepts into actionable insights. Candidate Profile We are looking for an entrepreneurial engineer who thrives in "Series A through C" startup environments—someone who enjoys building from 0 to 1 rather than maintaining legacy systems. Must-Haves: Experience:
2–4+ years in Data Engineering or Analytics Engineering with a focus on production-grade pipelines. Technical Mastery:
Strong proficiency in
Python
and
SQL . Architectural Intuition:
Solid understanding of cloud data platforms (Snowflake/AWS) and data modeling. Communication:
Ability to engage actively with senior partners; you are a consultant and collaborator, not a "ticket taker." Nice-to-Haves: Exposure to AI/ML workflows or building feature pipelines. Familiarity with financial datasets (EBITDA, market data) or vendors (Bloomberg, S&P). Experience in a fast-paced startup or internal platform team. Culture & Environment In-Person Collaboration:
There is a strong preference for onsite work (4–5 days per week) to facilitate mentorship and idea sharing, particularly during the first phase of the build. Autonomy:
The firm operates on a "trust-based" model—no rigid 9-5, but you must be comfortable interfacing with PST/SF HQ and flexing hours for urgent partner requests. Compensation & Benefits Total Cash:
$250,000 – $350,000 (comprising a high $100K base + significant performance-based bonus). Benefits:
Comprehensive medical/dental/vision (Cigna), family planning, and wellness/gym subscriptions. Time Off:
Unlimited PTO policy (standard usage is ~3 weeks). xywuqvp Retirement:
401(k) enrollment.
Languages
- English
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