About Our Client:

Our client is building a next-generation intelligence platform for the private sector, designed to surface deep insights on millions of businesses. While the public markets have robust financial data systems, the private sector has remained fragmented—until now. By leveraging cutting-edge AI and large-scale data processing, our client’s platform makes it possible to access and analyze information that was previously inaccessible.

Their core customers include investment firms, corporate M&A teams, and consulting groups that rely on real-time, structured data to make high-stakes decisions. They’ve experienced strong traction since launching, generating meaningful revenue and gaining rapid adoption among industry leaders. After completing a major accelerator program last year, They’ve positioned themselves for aggressive scaling, backed by high-caliber investors and a strong financial foundation.

About The Role:

Our client is hiring a VP of Engineering to lead and scale their engineering team as they expand. This is a hands-on technical leadership role—while the title reflects seniority, they are looking for someone who thrives as an individual contributor while also playing a key role in growing their engineering organization.

This is an opportunity to build at scale: our client is working toward tracking tens of millions of companies worldwide, requiring robust, high-performance data infrastructure. Their platform involves applied AI, intelligent agents, and sophisticated data ingestion pipelines that extract, structure, and surface high-value insights.

The ideal candidate has deep experience building scalable systems, working with large datasets, and leveraging ML/AI to extract meaning from structured and unstructured data. They’re looking for someone who has hired and developed top-tier engineers, understands data-intensive applications, and thrives in a fast-moving, execution-focused startup environment.

What You’ll Do:

• Architect and scale their core data platform to handle tens of millions of entities while ensuring high availability and reliability.

• Design and implement AI-driven data extraction systems to surface intelligence from vast amounts of structured and unstructured sources.

• Optimize data pipelines for real-time retrieval and processing of information from a wide range of sources, including publicly available but hard-to-access datasets.

• Contribute as a hands-on engineer while also playing a critical role in hiring, mentoring, and growing the technical team.

• Establish best practices for engineering execution, technical decision-making, and system reliability as we scale.

• Collaborate closely with the leadership team to align engineering priorities with business strategy, ensuring technology directly drives company growth.

What Our Client Looks For:

• Experience building and scaling complex data systems—ideally with experience in search, ranking, or applied ML/AI.

• A background in high-performance backend engineering, with expertise in Python, Go, or similar languages used for large-scale systems.

• Familiarity with distributed systems, data indexing, and knowledge graph technologies.

• A track record of hiring and developing top engineering talent, especially in data-focused roles.

• Experience working in fast-moving, high-growth startups, ideally within AI, search, or data-driven industries.

• Strong product intuition and the ability to make data-driven decisions that directly impact customer success.

Our Client’s Culture:

• Execution-focused—they prioritize speed and iteration, moving fast while maintaining technical excellence.

• High transparency—they operate with radical openness in decision-making and communication.

• Customer obsession—they are deeply engaged with their users and build directly for their needs.

• Extreme ownership—every team member is empowered to take full responsibility for their work and impact.

• Data-driven decision-making—they optimize for long-term expected value, prioritizing ruthlessly but executing comprehensively.

Compensation & Benefits:

• Salary up to $250K, with flexibility based on experience.

• Significant equity grant—they are willing to be aggressive with ownership for the right person.

• Full medical, dental, and vision insurance.

• In-office role in NYC (SoHo), with a private office space.

• Hands-on role with high impact, with opportunities for rapid growth as the company scales.

This is a rare opportunity to join a high-growth, revenue-generating startup at an inflection point. If you’re excited about building at scale, working with cutting-edge AI and data systems, and shaping the future of private market intelligence, we’d love to hear from you.