Sales Engineer

Blue Orange Digital • New York, NY

19d • Remote

About The Position

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight. We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

This role is for someone who has spent the last few years as a Solutions Architect or Sales Engineer at a data platform company and is looking for a more integrated role. At Blue Orange Digital, the person who scopes the engagement is the person who stands up the first sprint. You will own the client from the first call through production and carry a number for it.

Requirements

• 5 or more years in a client-facing technical role at a data platform, analytics, or AI company, as a Solutions Architect, Solutions Engineer, Sales Engineer, or technical Account Executive
• Direct evidence of revenue ownership. You have carried a quota, or you have been the named technical owner on deals you can size and describe
• Hands-on engineering within the last three years. You can write SQL and Python, you have shipped pipelines with dbt, Airflow, or an equivalent, and you have debugged something in production at an inconvenient hour
• Working depth on Snowflake or Databricks, and enough fluency in the other to be useful in a bake-off
• The ability to hold a room with a CDO and a staff engineer at the same time, and to be credible to both
• Comfort selling scope and outcomes rather than licenses and features

Nice To Haves

• Time inside a consultancy, SI, or Big 4 practice, so you have already lived with utilization and margin
• Experience selling into private equity portfolio companies or a PE value creation team
• Production work on RAG, agentic systems, or ML platforms that survived contact with real users
• A partner network at Snowflake or Databricks that you can activate

Responsibilities

• Own a book of new and existing accounts, carry a services number against it, and forecast it accurately
• Run technical discovery yourself, without waiting for an engineer to join the call
• Scope engagements and price them, including the parts of the estimate that will hurt if you get them wrong
• Write the proposal and the SOW, then defend the scope when the client wants twice the work for the same number
• Stand up the first sprint on the engagements you sell, hands on the keyboard, before handing to a delivery lead
• Build reference architectures, demos, and proofs of concept that reflect what we will actually deploy
• Work our partner channels at Snowflake and Databricks, where co-sell is a real motion and not a logo on a slide
• Feed what you learn in the field back into our service line definitions and pricing

Benefits

• Base salary plus variable tied to what you sell and what reaches production
• A book you actually own, including the PE channel and existing accounts with room to expand
• Engagements across industries and stacks rather than one platform for the next three years
• A builder culture where the people closest to the work make the calls
• Certification support across Snowflake, Databricks, AWS, GCP, and Azure
• Remote-first, with client travel when the engagement justifies it

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed