Solutions Engineer

Blue Orange Digital; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Base salary plus variable compensation

Remote-first with client travel

Ownership of a book of business

Certification support across Snowflake

Opportunity to engage across multiple

Partner-driven co-sell motions

Job summary

Blue Orange Digital is seeking a Solutions Engineer in the United States to own the full client lifecycle from discovery through production delivery. You will stand up the first sprint hands-on and defend scope while driving reference architectures and proofs of concept.

The role emphasizes ownership, clear communication, and a builder-led culture. You will manage revenue targets, lead discovery, scope and price engagements, and collaborate with partners to expand engagements across data

Qualifications

• Five or more years in a client-facing technical role at a data platform, analytics, or AI company.
• Demonstrated revenue ownership with carried quota or named technical ownership of sizeable deals.
• Hands-on engineering within the last three years, with SQL and Python, pipelines using dbt, Airflow, or equivalent, and production debugging experience.
• Working depth on Snowflake or Databricks and familiarity with the other for technical bake-offs.
• Credibility with senior data leaders and staff engineers; comfortable selling scope and outcomes, not just licenses.

Responsibilities

• Manage a book of new and existing accounts, carry a services revenue target, and forecast accurately.
• Lead technical discovery independently and map architecture without waiting for others.
• Scope and price engagements, including risk-bearing parts of an estimate.
• Write proposals and statements of work, defend scope for additional scope at the same price.
• Stand up the first sprint on sold engagements with hands-on implementation.
• Build reference architectures, demos, and proofs of concept that mirror deployment.
• Drive co-sell motions through partner channels at major data platform vendors.
• Incorporate field learnings into service line definitions and pricing.

Job description

Role overview

A boutique data and AI consultancy is hiring a Solutions Engineer who owns the full client lifecycle, from the first discovery call through production delivery. Unlike a typical pre-sales architect who hands the engagement off, this role requires the same person who scopes and prices the work to stand up the first sprint hands-on. The position carries a services revenue number and is central to a builder-led culture that values ownership and clear communication.

Responsibilities

• Manage a book of new and existing accounts, carry a services revenue target against it, and forecast accurately
• Lead technical discovery independently, mapping architecture without waiting for additional engineers
• Scope and price engagements, including the risk-bearing parts of an estimate
• Author proposals and statements of work, then defend scope against client pushback for additional scope at the same price
• Stand up the first sprint on sold engagements with hands-on implementation before transitioning to a delivery lead
• Build reference architectures, demos, and proofs of concept that mirror what will actually be deployed
• Drive co-sell motions through partner channels at major data platform vendors
• Feed field learnings back into service line definitions and pricing

Requirements

• Five or more years in a client-facing technical role at a data platform, analytics, or AI company, such as Solutions Architect, Solutions Engineer, Sales Engineer, or technical Account Executive
• Demonstrated revenue ownership, including a carried quota or named technical ownership of sizeable deals
• Hands-on engineering within the last three years, with working SQL and Python, shipped pipelines using dbt, Airflow, or equivalent, and production debugging experience
• Working depth on Snowflake or Databricks plus enough fluency in the other to participate in technical bake-offs
• Credibility with both senior data leaders and staff engineers in the same room
• Comfort selling scope and outcomes rather than licenses and features

Nice to have

• Time inside a consultancy, systems integrator, or Big 4 practice with exposure to utilization and margin
• Experience selling into private equity portfolio companies or value creation teams
• Production work on RAG, agentic systems, or ML platforms that sustained real user traffic
• An active partner network at Snowflake or Databricks

Benefits and work setup

• Base salary plus variable compensation tied to deals sold and work that reaches production
• An owned book of business, including a private equity channel and existing accounts with expansion runway
• Engagement variety across industries and technology stacks rather than a single platform focus
• Certification support across Snowflake, Databricks, AWS, GCP, and Azure
• Remote-first working arrangement with client travel when an engagement requires it