Backend Engineer (Database / OLAP Focus) - Member of Technical Staff

🚀 Backend Engineer (Database / OLAP Focus) — Member of Technical Staff

📍 San Francisco (In‑person) | 💰 $150K–$200K + Equity | 🛂 Visa sponsorship (limited) + H‑1B transfers OK

We’re partnered with a YC-backed company helping enterprise brands win in the shift from traditional search to AI search. Their platform powers monitoring + analytics + an action center that helps teams see what’s changing and take the right actions quickly.

They’re hiring a Backend Engineer with a strong spike in databases + data-intensive systems to own the data foundation and scale core workflows.

• Build core backend platform features that serve enterprise customers and fast-growing tech companies
• Design clean data models and write high-performance SQL for large datasets (millions+ of rows)
• Own data architecture decisions across Postgres + OLAP storage/processing
• Improve latency and reliability through indexing, partitioning, query tuning, and caching strategies
• Build durable business logic for long-running processes (monitoring → detection → action → audit trail) using workflow orchestration (Temporal-style)
• Partner with product/GTMs to translate messy business problems into scalable technical implementations
• Contribute to architectural and tech choices as the system scales

• 2–10 years backend engineering experience with a strong database focus
• Excellent SQL skills and intuition for performance tradeoffs (query plans, indexing, schema design)
• Strong problem-solving and analytical ability
• High agency: you take ownership, move fast, and thrive in ambiguity
• Comfort building robust systems that scale (observability, retries, idempotency, failure modes)

• Experience with OLAP databases (or analytics-heavy data systems)
• Temporal / durable workflow orchestration experience
• Familiarity with marketing tech / CMS / analytics domains
• Comfort collaborating across the stack (TypeScript / Next.js familiarity is a plus)
• Distributed systems knowledge: queues, backpressure, caching, consistency tradeoffs

• Own the data foundation for a product riding a major platform shift (AI search)
• High-impact work with tight feedback loops: performance wins and better workflows are immediately visible
• A role with real architectural ownership in a fast-scaling team

TL;DR: If you love SQL, data architecture, and building durable backend systems that stay fast at scale, this role is for you.