About the role
We’re hiring a Senior Business Intelligence Analyst to figure out what internal tools our team needs across investing, fundraising, and finance and to build and ship them, using modern AI tooling to move fast. The hard part isn’t writing the code; it’s talking to the people who’ll use these tools, deciding what’s actually worth building, and steering the build so it’s secure, scalable, and genuinely adopted. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A track record of shipping products people use: You’ve taken software from “what do people actually need?” to “they use it every day,” and can point to specific things you’ve shipped. This is the bar that matters most
- You have 4+ years of experience building and shipping software or products in a fast-paced environment. Working at a venture capital or equivalent financial institution is not required but helpful
- Bachelor’s degree in Computer Science, Information Systems, Business, a comparable discipline, or equivalent practical experience
- Strong stakeholder and communication skills: You draw out real needs (often different from what people ask for), align competing priorities, and keep non-technical partners with you
- A software-engineering foundation: Enough hands-on background to make sound architectural calls, direct AI build tools well, and ensure things are built securely and at scale. You don’t need to be a full-time engineer
- Fluent with modern AI tooling, with good judgment about where it helps and where it doesn’t
More about this role
Playground Global is a venture capital firm backing the most technically ambitious founders working at the edge of engineering and science. With over $1.7 billion under management, Playground invests in early-stage companies defining the future of next-generation compute, industrial transformation, and engineered biology.
We’re hiring a Senior Business Intelligence Analyst to figure out what internal tools our team needs across investing, fundraising, and finance and to build and ship them, using modern AI tooling to move fast. The hard part isn’t writing the code; it’s talking to the people who’ll use these tools, deciding what’s actually worth building, and steering the build so it’s secure, scalable, and genuinely adopted.
The position requires strong product judgment, stakeholder communication, and a software-engineering foundation.
- Work with the investment, fundraising, and finance teams to learn how each group actually operates and where software and AI can remove friction.
- Turn competing needs into a clear, prioritized roadmap that addresses everyone’s core concerns.
- Ship internal tools end to end, from idea to daily use, mostly by orchestrating AI and existing...
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