Sales Engineer - APAC

EarthDaily Analytics

IndiaremotePosted 13 days ago

Skill Required

Sales-EngineerSolutions-EngineerPre-Sales-EngineerTechnical-Sales-EngineerGeospatial-Solutions-EngineerAPAC-Sales-EngineerAPAC-Sales-EngineeringRegional-Sales-EngineerSenior-Sales-EngineerInternational-Sales-EngineerMachine LearningData WarehousingEngineeringR ProgrammingObservabilityanalyticswrittenPythondesign.NETJavaAPIsandGoFulltime

Key highlights

5–8+ years in Sales Engineering or Pre‑Sales for GIS and/or geospatial products and analytics tools
Bachelor’s degree in geomatics, GIS, computer science, or related field
Basic knowledge of a modern programming language (Python, Java, Go, .NET)
Ability to create solution architectures and run end‑to‑end POCs
Excellent English communication skills and ability to build rapport
Experience with geospatial data APIs and custom data modelling

Role overview

The Sales Engineer is a customer-facing technical expert who partners with Account Executives to drive revenue across the Asia- Pacific sales region, including Australia and New Zealand. Translates complex geospatial, remote‑sensing, and data‑analytics capabilities into clear business value, design solution architectures, and guides prospects through validation and discovery of EarthDaily’s product offerings. This role is critical in accelerating enterprise adoption of earth‑observation monitoring platforms for a variety of use cases including, but not limited to, environmental intelligence, infrastructure monitoring, ESG compliance, and risk management. Reporting to the Senior Sales Director, APAC, this role is a senior pre‑sales technical partner to Account Executives, to shape deals, demonstrate product value, and influence enterprise adoption of the EarthDaily Constellation’s data and analytics solutions across APAC.

Responsibilities

Provide pre‑sales technical leadership supporting lead discovery, requirements analysis, and solution scoping with enterprise prospects across APAC
Influence sales strategy — Shape deal strategy with AEs by identifying blockers, mapping customer decision criteria and aligning value to commercial outcomes
Partner with Account Executives (AEs) on opportunities and site visits
Collaborate with cross-functional teams, including engineering, data science, sales, marketing, and operations, to ensure successful product communication and customer engagement
Develop a deep technical knowledge of our products on an on-going basis to understand strengths, limitations, value, cost-drivers and understand a customer’s technical requirements to find product fit and offer viable solutions
Lead or support responses to EOIs, RFPs and RFIs including appropriate technical response, solution narrative, and architecture diagrams for procurement processes
Test new product features and deliver compelling product demos of EarthDaily’s suite of products tailored to customer use cases including relevant geospatial analytics, change‑detection workflows, dashboards, and integrations
Work with EDA’s APIs to expand demonstration content
Produce technical content for the product sales and marketing teams
Create sales engineering presentations that effectively communicate the value of EDA's products and services to potential customers
Enable customers, channel partners, resellers, and system integrators with technology deployment aligned with use
Technical solution design — Architect end‑to‑end solutions using EO data pipelines, analytics modules, and platform capabilities
Proof‑of‑concept ownership — Plan, execute, and evaluate POCs to validate feasibility, performance, and ROI
Work with Product Teams to add prospective feature requests based on opportunity size
Educate customers by training prospects on EDC concepts, data quality, monitoring methodologies and platform best practices
Surface customer insights to Analytics’ Product/Engineering teams to influence roadmap priorities
Other duties as assigned

Requirements

Bachelor’s degree in geomatics, surveying, remote sensing, geographic information systems (GIS), computer science, mathematics, physics, geography, resource management, or equivalent (Advanced degree is an asset)
5–8+ years in Sales Engineering or Pre‑Sales for GIS and/or geospatial products and analytics tools (additional experience with SaaS-based, enterprise data platforms an asset)
Experience supporting enterprise sales cycles with governments, infrastructure operators, insurers, or ESG‑focused industries
Basic knowledge of at least one modern programming language (python, java, go, .net) so that you can perform demonstrations with our products and services
Ability to create solution architectures, demo complex platforms, and run POCs end‑to‑end.
Excellent interpersonal skills with an understanding and ability to effectively communicate with a diverse customer base (e.g. culturally aware with the ability to overcome introversion)
Self-starter and self-learner attitude with the ability to prioritize workloads in order of importance
Passionate about teamwork and collaboration and enjoy evangelizing a suite of products internally and externally
Feel comfortable working with customers and negotiating meaningful response on the spot
Ability to continuously learn new things (from product complexities and intricate use cases to language and industry jargon)
Experience conducting research and literature reviews on earth observation data use cases and applications
Experience working with geospatial data APIs and performing custom geospatial data modelling and/or statistical analysis and interpretations with support from domain experts
Experience with proposal or grant application processes including writing technical proposals
Excellent communication skills (English verbal and written), with a demonstrated ability to build rapport and credibility as a confident subject matter expect
Demonstrated ability to adapt communication styles to cater to diverse customers, ranging from individuals with a high-level understanding to technical experts deeply versed in the domain

Nice to have

Knowledge of earth observation platforms, remote sensing, environmental monitoring, GIS, data science, change detection, geospatial analytics, land-use classification, monitoring workflows, data, and related, value-added products and machine learning an asset