Senior Software Engineer

Founding Forward Deployed Engineer | NYC

Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.

I’m working with an exciting AI startup that is building autonomous revenue teams using AI agents, and they’re looking for their first Founding Forward Deployed Engineer.

This is a highly hands-on role where you’ll own customer deployments end-to-end, working directly with customer data and helping turn complex business requirements into working AI solutions.

What you’ll be doing:

• Own end-to-end customer deployments, from data access and schema mapping through to proving value

• Work closely with customers and stakeholders to understand their data and business requirements

• Build and deploy production data pipelines and systems

• Work extensively with SQL, data warehouses and dbt

• Help deploy and customise AI agents and LLM-powered workflows

• Contribute to the development of the wider platform and deployment processes

• Troubleshoot messy, undocumented data environments and turn them into actionable insights

What they’re looking for:

• 2–5 years’ experience in FDE, Data Science, Solutions Engineering, Customer Engineering or a similar technical role

• Strong SQL and data warehouse experience

• Solid Python and applied data science fundamentals

• Experience working with production systems and/or data pipelines

• Customer-facing experience and the ability to manage technical conversations with stakeholders

• AI-native mindset, with hands-on experience using AI coding tools and/or building agent-driven workflows

• Comfortable working with complex, xhqgsiq messy data and doing detailed data validation

Tech stack includes:

SQL | Python | dbt | Data Warehousing | LLMs | AI Agents | Eval Frameworks

Tribeca, New York City – 5 days onsite

$180K–$250K base + competitive equity

Relocation support available

Full-time | Founding team

Open to visa transfers, including OPT and H1B transfers

If you’re interested in getting in early at an AI company and having a direct impact on customer deployments and the product itself, get in touch.