Sales Engineer

Posted 2 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
Senior level
Artificial Intelligence • Machine Learning • Database
The Role
Own new and existing accounts, services revenue, forecasting, technical discovery, engagement scoping, pricing, proposals, and statements of work. Build architectures, demos, proofs of concept, and the first delivery sprint for sold engagements. Develop Snowflake and Databricks partner channels, support co-selling, and refine service offerings and pricing based on client feedback.
Summary Generated by Built In

Company overview:

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.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Position overview:
You have spent the last few years as a Solutions Architect or Sales Engineer at a data platform company. You know the pattern. You run discovery, you map the architecture, you earn the technical win, and then you hand the customer to an SI who builds something you would not have built. Six months later you get the escalation.We are hiring the person who stops doing that. At Blue Orange Digital, the person who scopes the engagement is the person who stands up the first sprint. You own the client from first call throughproduction, and you carry a number for it.

What you will do

  • 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

What you bring

  • 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 have

  • 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

How we run the process

  1. Screen, 30 minutes
    Your number, your deals, and the last thing you built. Specifics, not narrative.

  2. Technical working session, 60 minutes
    A real client data problem. You scope it, architect it, and tell us what you would build in the first two weeks.

  3. Commercial session, 60 minutes
    You price the engagement you just scoped and defend the estimate against pushback.

  4. Leadership conversation, 45 minutes
    How you work, what you want next, and where this role fits it.

  5. References and offer
    We call people who watched you sell and people who watched you build.

What we offer

  • 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

Blue Orange Digital is an equal opportunity employer. We evaluate every applicant on what they have built and what they have sold.

Skills Required

  • Five or more years in a client-facing technical role at a data platform, analytics, or AI company
  • Experience as a Solutions Architect, Solutions Engineer, Sales Engineer, or technical Account Executive
  • Direct revenue ownership, including carrying a quota or serving as the named technical owner on sized and described deals
  • Hands-on engineering experience within the last three years
  • Ability to write SQL and Python
  • Experience shipping pipelines with dbt, Airflow, or an equivalent technology
  • Experience debugging production systems
  • Working depth in Snowflake or Databricks, with fluency in the other
  • Ability to communicate credibly with C-level data executives and staff engineers
  • Experience selling scope and outcomes rather than licenses and features
  • Consultancy, systems integrator, or Big Four experience
  • Experience selling to private equity portfolio companies or a PE value creation team
  • Production experience with RAG, agentic systems, or ML platforms
  • An active Snowflake or Databricks partner network

Blue Orange Digital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Orange Digital and has not been reviewed or approved by Blue Orange Digital.

  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, and vision in current job postings, with some descriptions indicating particularly strong plan generosity. This points to a solid core insurance foundation for U.S.-based roles.
  • Retirement Support Current role descriptions consistently include a 401(k) with company match. This adds long‑term financial value to the overall package.
  • Leave & Time Off Breadth Certain postings specify unlimited PTO along with paid parental and bereavement leave. This breadth of time‑off options supports flexibility for varied life events.

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The Company
HQ: New York, NY
75 Employees
Year Founded: 2015

What We Do

Blue Orange is a data science and machine learning consulting and development firm. We build modern data warehousing to support machine learning and AI. We help companies integrate these insights to drive data-driven decision making.

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