Senior Solutions Architect

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Geospatial Technology, Artificial Intelligence, Cloud Computing, Data & AnalyticsIndustries

Requirements

The ideal candidate should possess a Bachelor's degree, and demonstrate at least 8 years of experience in a technical sales engineering or solutions architect role, with a strong focus on geospatial data and AI/ML technologies. Experience with cloud platforms such as AWS, Google Cloud, or Azure is required, along with familiarity with data integration tools and technologies. Strong understanding of spatial data concepts and workflows is essential, as is the ability to design and present complex technical solutions.

Responsibilities

As a Senior Solutions Architect, you will partner with sales and marketing teams to identify customer needs and design geospatial data solutions leveraging the Wherobots platform. You will conduct technical discovery sessions, create architecture diagrams, deliver product demonstrations, and lead onboarding sessions. Additionally, you will support customers in deploying best practices, troubleshoot technical issues, and contribute to technical content and community engagement, including authoring technical collateral, blog posts, and Jupyter notebooks. You will also engage with industry-specific data, toolchains, and partner technologies to integrate Wherobots into complex enterprise ecosystems.

Skills

Geospatial Data

AI/Analytics

Solution Architecture

Data Infrastructure

Cloud Platforms (AWS, Google Earth Engine)

Integration Flows

Demonstrations

Proof-of-Concepts

Reference Architectures

Enterprise Ecosystems

Wherobots

Geospatial data processing and analytics platform

About Wherobots

Wherobots offers a spatial intelligence cloud platform that helps clients manage and process geospatial data efficiently. Their product utilizes Apache Sedona, an open-source framework, to perform large-scale spatial data operations on cluster computing systems like Apache Spark. What sets Wherobots apart is its unified interface for all spatial data needs, allowing for seamless operations and real-time data engineering. The company's goal is to simplify the handling of spatial datasets from ingestion to delivery through a subscription model.

Phoenix, ArizonaHeadquarters

2022Year Founded

$26.3MTotal Funding

SERIES_ACompany Stage

Data & Analytics, AI & Machine LearningIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Hybrid Work Options

Risks

Emerging startups like Descartes Labs increase competition in geospatial analytics.

Over-reliance on AWS could impact operations during service disruptions.

Data privacy regulations may affect geospatial data processing capabilities.

Differentiation

Wherobots leverages Apache Sedona for large-scale spatial data operations.

The platform offers seamless integration with major spatial analytics tools.

Wherobots provides a single pane of glass for all spatial data needs.

Upsides

Rising demand for real-time geospatial analytics boosts Wherobots' market potential.

Integration of AI with geospatial data opens new opportunities for urban planning.

5G technology enhances geospatial data platforms with faster data transmission.

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