Sales Engineer

Estuary unifies change data capture, batch pipelines, and streaming into one platform. Instead of managing separate ETL tools, replication systems, and streaming infrastructure, teams use Estuary to move and transform data across their stack in real time.

We work with modern data and platform teams who need reliable pipelines, predictable costs, and flexible deployment options — whether in the cloud or in their own environment.

Your Opportunity

Estuary sells to technical teams who care about architecture, reliability, and performance. As a Sales Engineer, you’ll work directly with data engineers and platform teams to understand their systems, identify gaps, and show how Estuary fits into their stack.

You’ll own the technical side of the sales cycle — from deep discovery through proof of concept — and play a key role in turning complex requirements into successful deployments.

This is a high-impact role for someone who enjoys solving real infrastructure problems and partnering closely with both Sales and Engineering.

What you’ll do

• Own technical discovery: understand the customer’s data architecture, constraints, and success criteria
• Design solution approaches that map Estuary to their existing stack (warehouses, databases, APIs, streaming systems)
• Deliver live demos that address real-world use cases — not generic feature walkthroughs
• Run and support POCs, troubleshooting issues and ensuring clear technical validation
• Act as the internal voice of the customer, surfacing product gaps and feature requests
• Support post-close technical alignment when needed to ensure smooth handoff

What You’ll Bring

• Experience running technical discovery, demos, and POCs in a B2B pre-sales environment
• A solid understanding of modern cloud data infrastructure (AWS, Azure, or GCP)
• Familiarity with data warehouses, databases, APIs, and streaming systems
• The ability to explain architectural tradeoffs clearly to technical stakeholders
• Strong written and verbal communication skills
• Comfort managing multiple deals and technical evaluations at once
• A bias toward ownership and follow-through

What we’re looking for

• 2–5 years of experience in technical pre-sales or data engineering
• Hands-on experience with cloud-based data platforms (AWS, Azure, or GCP)
• Familiarity with modern warehouses such as Snowflake, BigQuery, or Redshift
• Understanding of ETL/ELT pipelines, APIs, and streaming architectures
• Ability to whiteboard and reason through distributed data system design

Nice to have:

• Experience with CDC or replication technologies
• Exposure to tools in the broader ecosystem (e.g., Fivetran, Airbyte, or Confluent)

Work Location & Travel

While Estuary operates as a remote-first company, we are prioritizing candidates based in the New York City area for this role.

Travel is estimated at ~15% for customer meetings and company events.