Senior Solutions Engineer, Google Cloud & Maps Platform
$110,000–$135,000 year
RemoteUnited States
Job Summary
Own the technical sale alongside account executives, from first discovery call through technical close and clean handoff to delivery. Serve as lead technical advisor to commercial and government customers on new business, expansion, and upsell, handling objections around architecture fit, data residency, and total cost. Lead technical execution in Google Cloud and Google Maps Platform co-sell motions, including joint customer calls, solution workshops, and partner-led demos. Design solutions covering mapping, places, routing, geocoding, and BigQuery-native insights, modeling consumption and unit economics to ensure affordability at scale. Build working demonstrations and proofs of concept against real customer data to connect technical capabilities to dollar outcomes, creating a reusable reference-architecture library. Author technical content for proposals, statements of work, and responses to RFPs and public sector solicitations.
Required Qualifications
- Minimum of seven years in customer-facing technical roles
- Qualifying backgrounds include pre-sales or solutions engineering, sales engineering, technical account management, solution consulting, technical product management, and technical selling roles
- Experience in cloud, geospatial, data, or SaaS is preferred
- Google Cloud in front of customers
- Hands-on, customer-facing experience with Google Cloud Platform
- Working familiarity with Google Maps Platform APIs or a comparable location and mapping platform
- Built the demo
- A demonstrable record of building and delivering a working demonstration or proof of concept
- Connecting it to a commercial outcome
- Data fluency
- Working SQL
- Comfort in BigQuery or an equivalent cloud data warehouse
- Enough scripting in Python or JavaScript to stand up a prototype
- Commercial instinct
- A record of influencing or closing technical deals alongside sellers
- The ability to translate architecture into revenue, cost, and risk language an executive buyer uses
- Bachelor's degree or higher from an accredited college or university or equivalent experience
- A degree in Computer Science, Geographic Information Science, Engineering, Data Science, Business, or a related field is preferred
- Applicant must live in the U.S.
- Applicant must be authorized to work in the U.S.
Desired Qualifications
- Google Cloud certification at Associate or Professional level, or the Generative AI Leader credential
- Gemini or Vertex AI applied in a customer-facing setting
- Geospatial background of any kind: GIS, Esri, imagery, LiDAR, remote sensing, surveying, or location data products
- Experience inside a partner, reseller, distributor, or channel model
- Consumption or usage-based pricing, and usage forecasting
- Selling to state, local, or federal government, including cooperative contract vehicles
- Experience supporting ISVs, SaaS providers, or enterprise platform customers
- Google Cloud certifications (Associate or Professional levels) preferred
- Experience in cloud, geospatial, data, or SaaS is preferred
- A degree in Computer Science, Geographic Information Science, Engineering, Data Science, Business, or a related field is preferred
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