Senior Account Executive Ed Research Market
Hayward, Alameda County, California, 94557, USA
Listed on 2025-11-15
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IT/Tech
Data Science Manager, Data Analyst
Location:
San Francisco Bay Area (hybrid; campus travel required)
About Us:
Galaxea - We build embodied‑AI robots and the software/data platform that powers them. Our customers are top universities and R&D labs using our systems for research, teaching, and prototyping.
Mission of the Role:
Win, expand, and retain Bay Area higher‑ed accounts by driving consultative, compliant, outcome‑based sales cycles that turn demos into campus‑wide adoption and published results.
Build and own a territory plan across Stanford, UC campuses, national labs, and nearby private universities.
Map stakeholders (PIs, lab managers, departmental buyers, procurement) and run multi‑threaded deals.
Orchestrate end‑to‑end motions: discovery → demo/POC → budget assembly → RFP or sole‑source path → PO → delivery/acceptance → references/publications → expansion.
Co‑create technical scopes with Application Engineers; capture requirements and route to Product/Data teams.
Navigate vendor registration, insurance/COI, T&Cs, and export/data compliance with Legal/Finance.
Host on‑campus events (seminars, demo days) and maintain a library of case studies and bid responses.
What You’ll Bring5–10+ years closing complex B2B or higher‑ed tech (research equipment/robotics/SaaS). Consistent quota attainment.
Fluency with academic funding rhythms and procurement (competitive bids vs. sole‑source rationale).
Technical literacy in AI/robotics sufficient to discuss experiments, datasets, and evaluation metrics.
Process discipline (CRM hygiene, forecasting, MEDDICC/SPICED or equivalent) and crisp writing.
Success Looks Like (first 6–12 months)$1.5M–$3.0M annual bookings in Bay Area higher‑ed; ≥3–5× pipeline coverage; 1‑3‑month velocity for lab‑level deals.
2–3 campus reference wins with demos → publication/teaching usage → multi‑lab expansion.
RFP/sole‑source kits established; vendor onboarding complete at key campuses.
Compensation:Base $120k–$150k;
OTE $220k–$300k+ (accelerators beyond 100% attainment).
Equity and benefits included. Final offer depends on experience.
Travel:Local campus travel weekly; occasional domestic conferences.
EEO:We’re an equal opportunity employer. Diverse research communities make better robots.
Flexible work from home options available.
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