Forward Deployed Engineer

Cavendish Professionals

San Francisco (CA)

On-site

USD 140,000 - 190,000

Full time

10 hours ago
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Job summary

Cavendish Professionals is seeking a Forward Deployed Engineer who loves building and enjoys working directly with customers. You’ll sit at the intersection of engineering and the customer, building backend integrations and data pipelines to make the product work inside enterprise environments.

You’ll collaborate with technical stakeholders before and after the sale, bringing SWE experience and strong Python/SQL skills to bear in a fast-growing startup setting in San Francisco.

Qualifications

  • 2–6 years’ experience, ideally at an enterprise AI company.
  • Background as a Software Engineer, FDE, or technical founder with SWE experience.
  • Strong Python and SQL, with a track record building integrations and data pipelines.
  • Experience in B2B SaaS supporting technical customer relationships (pre- or post-sale).
  • Experience at an early-stage startup, high-growth scale-up or enterprise tech.
  • A solid run of roles with real depth, ideally 1+ year in each.
  • CS degree from a top programme is a plus.

Responsibilities

  • Build backend integrations and data pipelines that get the product working inside enterprise environments.
  • Work hands‑on with technical stakeholders before and after the sale.

Skills

Python
SQL
Integrations
Data pipelines
Customer-facing tech
Software engineering experience

Education

CS degree

Job description

I’m partnering with a fast-growing enterprise AI startup to hire a Forward Deployed Engineer who loves building and enjoys working directly with customers.

The role in a nutshell:

You’ll sit at the intersection of engineering and the customer. You’ll build backend integrations and data pipelines that get the product working inside enterprise environments, working hands‑on with technical stakeholders before and after the sale.

What you’ll bring:
  • Background as a Software Engineer, FDE, or technical founder with prior SWE experience
  • 2–6 years’ experience, ideally at an enterprise AI company
  • Strong Python and SQL, with a track record building integrations and data pipelines
  • Experience in B2B SaaS supporting technical customer relationships (pre- or post-sale)
  • Experience at an early-stage startup, high-growth scale-up (think Scale AI, Rippling) or enterprise tech (Palantir, Databricks, Snowflake)
  • A solid run of roles with real depth, ideally 1+ year in each
  • CS degree from a top programme is a plus
The details:
  • On-site in San Francisco (must be based there or willing to relocate)
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