Partner Solutions Engineer

(north America), United StatesRemote

Responsibilities

Influence technical personas at ISV and SI partners:
Build durable relationships with partner SEs, partner engineering, and partner sales leaders at Snowflake, Databricks, and BigQuery, The Trade Desk and act as the SE counterpart to our partner sales managers in joint opportunities.
Support the partner sales team with demo environments, partner enablement, architecture reviews, and deal-level technical support across ISV and SI motions.
Run technical evangelism inside partner orgs (joint demos, reference architectures, joint field activity) so Hightouch is positioned as their default CDP and Agentic Marketing partner.
Drive partner-informed product with key ISVs:
Project-manage the partner-driven product items end to end, from problem statement to shipped change, working alongside Product, Engineering, and Partner Marketing.
Identify integration gaps and joint-solution opportunities with Snowflake, Databricks, and BigQuery, The Trade Desk, then drive them to a shipped outcome that the partner field can sell.
Track record of influencing deals, adoption, or product direction through partners, not just through direct sales cycles.

Teams move faster, stay on brand, and get AI marketing that actually works.
Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart.
At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses.
Most of your time is spent in the field, influencing SEs and technical GTM leaders at our top ISV partners (Snowflake, Databricks, BigQuery, The Trade Desk). The remaining 25% of the role is related to product: project-managing partner product builds that tighten joint positioning and open new co-sell opportunities with key ISVs. What you'll do
Technical proficiency on par with a Solutions Engineer at Hightouch: comfortable owning technical conversations end-to-end with customer and partner technical audiences.
Deep familiarity with the modern data stack: SQL fluency and hands-on
experience with at least one of Snowflake, Databricks, or BigQuery.