Senior Solutions Engineer, Google Cloud & Maps Platform

Sanborn Map CompanyBoston, MA
Remote

About The Position

The Senior Solutions Engineer, Google Cloud & Maps Platform supports the Spatial Intelligence sales organization as a trusted technical advisor, solution architect, and partner facing expert for Google Cloud Platform (GCP) and Google Maps Platform solutions. The position will collaborate with new and existing high-value clients to document and comprehend use case requirements, devising custom solutions which leverage the full capabilities of Sanborn Geospatial and partner solutions. This role is sales aligned and revenue focused, operating within a Google Partner / Reseller motion. Works closely with Account Executives, Google partner teams, and customers to drive solution adoption, accelerate deal cycles, and articulate differentiated business value using cloud and geospatial technologies. The position requires in-depth knowledge to co-sell with Google, position partner led solutions, and translate technical capabilities into commercial outcomes.

Requirements

  • Google Cloud in front of customers.
  • Hands-on, customer-facing experience with Google Cloud Platform, plus working familiarity with Google Maps Platform APIs or a comparable location and mapping platform.
  • A demonstrable record of building and delivering a working demonstration or proof of concept, not just presenting one somebody else built, and connecting it to a commercial outcome.
  • Working SQL and comfort in BigQuery or an equivalent cloud data warehouse.
  • Enough scripting in Python or JavaScript to stand up a prototype.
  • A record of influencing or closing technical deals alongside sellers, and the ability to translate architecture into revenue, cost, and risk language an executive buyer uses.
  • 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.

Nice To Haves

  • 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.
  • A degree in Computer Science, Geographic Information Science, Engineering, Data Science, Business, or a related field is preferred.

Responsibilities

  • 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.
  • Handle the technical objections that stall deals: architecture fit, data residency, terms of service limits, integration effort, and total cost at volume.
  • Lead technical execution in Google Cloud and Google Maps Platform co-sell motions – joint customer calls, solution workshops, and partner-led demos.
  • Position Sanborn's services, IP, and managed offerings alongside Google technologies to articulate differentiated partner value.
  • Stay current on Google partner programs, solution playbooks, pricing models, and incentive structures that impact deal strategy.
  • Design solutions on Google Maps Platform APIs covering mapping, places, routing, geocoding, and the BigQuery-native insights products.
  • Design the supporting Google Cloud footprint, with emphasis on BigQuery, data pipelines, and Gemini or Vertex AI where the use case calls for it.
  • Model consumption and unit economics so the architecture the customer buys is one they can afford at scale and one Sanborn can deliver at margin.
  • Build and deliver working demonstrations on Google Cloud and Google Maps Platform that connect a technical capability to a dollar outcome the customer recognizes.
  • Run proofs of concept and pilots against real customer data, scoped to close a decision rather than to explore.
  • Create and maintain a reusable demonstration and reference-architecture library so the motion is repeatable by others and does not live in one person’s head.
  • Author technical content for proposals, statements of work, and responses to RFPs, RFIs, and sources-sought notices, including public sector solicitations.
  • Supply the technical assumptions and usage drivers that pricing depends on.
  • Partner with delivery to confirm feasibility and risk before commitments are made.

Benefits

  • medical
  • dental
  • vision
  • 401k
  • holiday
  • PTO
  • EAP
  • disability
  • life insurance
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service