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Key skills for this role
Lead the Context roadmap, partnering with the CTO, Head of Engineering, and product leadership on priorities
Hire and develop a team of 4 to 8 engineers, including running interview loops, calibrating performance, and setting expectations clearly
Drive technical decisions on hard problems: retrieval quality and how we measure it, graph and memory schemas that survive contact with real customer data, sync architectures that stay correct under partial failure, and an integration framework that makes the tenth connector cheaper to build than the first
Own retrieval quality as a measurable product surface, with evals that catch regressions before customers do
Ship code yourself on the highest-leverage parts of the system
Be the engineering point of contact when a customer's integration breaks, their data goes stale, or an agent retrieves the wrong thing
Represent Context in conversations with product, sales engineering, and the executive team when data access, freshness, or security commitments are on the line
Partner closely with the teams building our agent products, who are your primary internal customers
7+ years of backend engineering experience, with at least 2 years managing or tech-leading a team
Strong Python. This is the language the team lives in
Rust is strongly preferred. Parts of this system are performance and cost sensitive enough to justify it, and we expect that surface to grow
Hands-on experience building search or retrieval systems in production: embeddings, vector stores, hybrid search, reranking, and chunking strategies, along with an honest view of where each one stops helping
Experience integrating with third-party APIs at scale, including OAuth, token refresh, rate limits, and the operational reality of connectors that break on someone else's schedule
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New York City, USA
New York City, USA
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New York City, USA
New York City, USA
New York City, USA
New York City, USA
New York City, USA
Experience with data synchronization and pipeline correctness: incremental sync, idempotency, backfills, and reconciliation
Strong Postgres skills; you can reason about indexes, query plans, multi-tenant data models, and migrations without reaching for a tutorial
Experience hiring senior ICs and giving direct, useful feedback
Comfortable being an IC contributor on the team you manage; we don't want a manager who has stopped writing code
Nice to have:
Experience with knowledge graphs or entity resolution at scale
Experience building memory systems or context management for LLM agents, including context budgeting and retrieval tuning against real workloads
Familiarity with MCP as both a server and a client implementer
Experience with high-volume event ingestion and streaming systems
Background at a B2B SaaS company that sold to enterprise, where customer data handling passed a real security review (SOC 2, ISO 27001, CMEK, private networking)
A track record of building evaluation harnesses for non-deterministic systems
AI-search marketing technology company helping enterprise brands optimize visibility across ChatGPT, Perplexity, and AI platforms.
Visit company websiteJobs and hiring trendsUSD 230000-275000 yearly / year
Full-time
Senior · 7+ years experience
Hybrid
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