The Role
Build the Context Management API and semantic modeling infrastructure for AI systems: design retrieval and data-access patterns, orchestrate LLMs and multi-agent systems, implement self-healing data models and evolving knowledge graphs, and integrate enterprise data sources for reliable AI-driven GTM execution.
Summary Generated by Built In
New York City | In person | Full time
Deepline is hiring a Founding Full-Stack Engineer to build the product surfaces and systems that make bespoke GTM software practical. You will work directly with founders and customers across the stack, turning ambitious product ideas into reliable software people use every day.
Deepline is the agent-first platform for teams to build bespoke GTM software.
Agents are making it possible for anyone to build custom software around how a company sells. But turning a good idea into a production system still requires a fragmented stack of data providers, internal and external data, APIs, permissions, integrations, monitoring, and operational infrastructure.
Deepline makes that layer practical. We give power users and agents the primitives to build and run the exact systems their company needs.
We're already used by thousands of power users at several T1 companies and have grown extremely quickly since we launched in the last six months. We are a lean, deeply technical team moving quickly to build the infrastructure for agent-built software.
Software has never been built solely for agents. Come help shape what that looks like.
Build product end to end: the interfaces, APIs, workflows, and integrations that let power users create and run bespoke GTM systems. You will work across product, data, and infrastructure, moving quickly from customer insight to software in production.
• Product experiences that let users create, understand, and vibe code their own GTM systems.
• APIs, data models, and integrations across CRMs, warehouses, enrichment providers, and other systems customers already rely on.
• Run evals, identify inefficiencies in how agents currently use Deepline, and build new primitives that give them better capabilities.
• Reusable primitives from customer work that make the next system faster to build.
• Creativity in engineering is the single most important quality.
• You have worked on a fast-moving team and care about speed, intensity, and craft.
• You can turn messy customer reality into the right primitives.
• You have worked on real production software, internal tools, CLIs, or devtools.
• You are comfortable moving across TypeScript/JavaScript, Python, SQL, Rust, frontend, backend, and data systems. The boundaries are real; the ownership is yours.
• You have product judgment: you know what to build, what to cut, and when a simple solution is better than a sophisticated one.
• Experience with AI products, data infrastructure, CRMs, data warehouses, or enterprise integrations is useful, but not required.
• Shape an entirely new category of software, with a real role in defining both the product and the company.
• Work in person in New York with experienced founders and a deeply technical, talent-dense team.
• Build at the frontier of AI, on problems that change how products are created, shipped, and brought to market.
• Work somewhere truth-seeking and creatively opinionated: we question inherited assumptions and choose fast learning over false certainty.
• Competitive salary and meaningful equity.
Early teams compound. We are looking for people who raise the ambition, clarity, and quality of the work around them.
The base pay range for this role is $140,000 – $260,000 per year.
Skills Required
- 3+ years building production systems
- Experience with retrieval systems, embeddings, vector databases, LLMs or knowledge graphs
- Production ML experience: monitoring, versioning, evaluation frameworks
- Experience with LLM orchestration (LangChain, LlamaIndex) and multi-agent systems
- Familiarity with semantic layers (dbt), data warehouses (Snowflake, BigQuery), enterprise data systems
- Core tech stack: Python, TypeScript/JavaScript, SQL
- Enterprise data systems (Snowflake, BigQuery, Salesforce, Segment, Gong)
- Multi-agent systems (LangGraph, CrewAI) or workflow orchestration (Airflow, Prefect)
- Knowledge graphs, graph databases, semantic layer tools (dbt, Cube)
- Real-time data pipelines and streaming architectures (Kafka, Pulsar)
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The Company
What We Do
Deepline is a GTM (Go-to-Market) data infrastructure platform that provides a unified CLI and API for waterfall enrichment, lead discovery, signal detection, and campaign activation. It helps revenue teams automate their go-to-market stack by integrating with tools like Claude Code, Cursor, and Codex, allowing users to turn data into actionable insights without needing new technical resources.
