Remote Data Solutions Engineer Jobs in Massachusetts

Technical Sales Ownership

• 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.

Google Partner Co-Sell

• 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.

Solution Architecture & Design

• 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.

Demonstrations & Proofs of Concept

• 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.

Proposals, RFPs & Deal Support

• 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.

QUALIFICATIONS

• 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.
• Built the demo. 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.
• Data fluency. Working SQL and 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, and the ability to translate architecture into revenue, cost, and risk language an executive buyer uses.

PREFERRED 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.

CERTIFICATIONS

• Google Cloud certifications (Associate or Professional levels) preferred.

EDUCATION:

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.

EXPERIENCE:

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.

Salary Range: 110K - 135K annual

Applicant must live in the U.S. and be authorized to work in the U.S.

Sanborn offers a comprehensive health and wellness program which includes medical, dental, vision, 401k, holiday, PTO, EAP, disability and life insurance benefits.

TO APPLY: Visit our website: www.Sanborn.com under the Careers menu option to apply. We are accepting applications for this position until September 15, 2026. Sanborn is an AA/Veteran/Disability Equal Opportunity Employer.