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Salary: USD 230,000 - 275,000 / annual
Profound is a marketing platform built for the age of AI search, helping brands understand, measure, and win in a world where AI models like ChatGPT and Perplexity are primary customer touchpoints. The company has grown from 0 to $1B valuation in 18 months with 100x revenue growth, serving customers including Ramp, Figma, Spotify, Nike, Apple, AWS, Reddit, and JPMC. Backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures.
You will lead the Context team, which owns everything Profound knows about a customer and everything its agents access when performing work. This includes the integration service (OAuth flows, API key management, MCP servers/clients, credential storage, webhook ingestion, rate limiting), the integration catalog (CMS, analytics, CRMs, document stores, commerce systems), knowledge base storage and retrieval (ingestion, embeddings, hybrid search, reranking, freshness, tenant isolation), data synchronization (incremental sync, backfills, deduplication, conflict resolution), and context management (knowledge graphs resolving brands/products/competitors, long-term memory for agents).
You'll spend roughly half your time on technical leadership and architecture, half on people management. Responsibilities include: leading the Context roadmap with the CTO and product leadership; hiring and developing 4-8 engineers; driving technical decisions on retrieval quality, graph schemas, sync architectures, and integration frameworks; owning retrieval quality as a measurable product surface with evals; shipping code on highest-leverage system parts; serving as engineering point of contact for customer integration issues; representing Context in conversations with product, sales engineering, and executives on data access and security; and partnering closely with agent product teams.
Required: 7+ years backend engineering, 2+ years managing or tech-leading; strong Python; hands-on production search/retrieval systems experience (embeddings, vector stores, hybrid search, reranking, chunking); third-party API integration at scale (OAuth, token refresh, rate limits); data synchronization and pipeline correctness experience; strong Postgres skills (indexes, query plans, multi-tenant models, migrations); experience hiring senior ICs and giving feedback; comfortable as IC contributor on your own team.
Preferred: knowledge graphs or entity resolution at scale; memory systems or context management for LLM agents; MCP implementation experience; high-volume event ingestion and streaming; B2B SaaS enterprise background with security compliance (SOC 2, ISO 27001, CMEK); evaluation harnesses for non-deterministic systems. Rust is strongly preferred for performance-sensitive parts of the system.
