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Senior Pre-Sales Solution Architect

AI Engineer United States

Job details

Not specified Salary
United States Eligibility
Senior Experience
Not specified Employment

About this role

Role overview This is a seller-doer position that blends technical sales with hands-on consulting delivery. The role owns the full pre-sales motion for a boutique data and AI consultancy, then stays engaged to set architecture and guide the build of the work that was just sold. It is a quota-carrying IC-plus-leadership seat spanning Data Platform Modernization, AI/ML Implementation, Analytics and BI, and Data Strategy engagements across mid-market and enterprise clients in financial services, healthcare, retail, and private equity.

Responsibilities - Run technical discovery with prospects, qualify fit against service lines, and translate vague business problems into reference architectures and phased delivery plans. - Design end-to-end solutions across Snowflake, Databricks, AWS, GCP, and Azure, then partner with sales to produce proposals, SOWs, and executive-level technical narratives. - Carry an individual sales quota, drive pipeline, advance deals through technical validation, and defend a builder-led approach against offshore and Big Four alternatives. - Set the technical direction for engagements after close, guide delivery teams through architecture decisions, and stay hands-on writing production-grade code where it matters. - Land and expand accounts: surface new opportunities, grow engagements, and uphold code review, testing, and documentation standards through clean handoff.

Requirements - Approximately 8+ years of hands-on experience in data engineering, ML, cloud data platforms, or analytics, with real production systems shipped. - Proven seller-doer background carrying a number and delivering the work behind it, ideally as a pre-sales solution architect or consulting delivery lead. - Deep Databricks expertise (Lakehouse, Delta Lake, Unity Catalog, MLflow, Spark) plus working knowledge of Snowflake and at least one cloud (AWS, GCP, or Azure) and modern tooling like dbt, Airflow, Python, and SQL. - Executive and technical fluency: equally credible leading a discovery call with a CTO and a whiteboard session with their engineers. - Experience scoping engagements, writing proposals and SOWs, and presenting solutions that win.

Nice to have - Consulting or agency background with client-embedded delivery experience. - A clear growth trajectory from owning individual deals toward shaping the pre-sales function or leading a practice area.

Benefits and work setup - Base compensation of $150K to $180K plus uncapped commission, with on-target earnings of roughly $260K to $320K and accelerators above quota. - Activity and threshold performance bonuses, medical/dental/vision/life insurance, and a 401(k) with company match. - All conference, event, client visit, and per diem travel expenses covered. - Fully remote within the United States.

Skills detected in the listing

PythonGoSQLSnowflakedbtApache AirflowData EngineeringStakeholder ManagementAWSGCPAzure
Detected Sep 28, 2026
Last verified Sep 28, 2026

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