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Hex Technologies is seeking a Senior Partnerships Engineer to drive the technical enablement for its SI/consulting partners in a ground‑floor role. You will design training curricula, build a robust demo library, and lead onboarding to accelerate partner competency.
You will deliver live and recorded trainings, support high‑value deals, and create technical collateral while collaborating with Product and Engineering to close gaps in integrations and capabilities.
This is a ground floor opportunity to build the next generation of our partner function at Hex. Our partnerships team is a mission critical aspect of our GTM strategy. This role represents all things technical in Hex partnerships: demos, storyboards, integrations, training, enablement, certifications, and more.
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market‑benched salary & equity, comprehensive health benefits, and flexible paid time off.
The on‑target‑earnings (OTE) for this role is: $177,000 - $236,500.
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
Hex Technologies uses AI‑assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI‑generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool’s output.