Wherobots

Senior Solutions Architect

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Geospatial Technology, Artificial Intelligence, Cloud Computing, Data & AnalyticsIndustries

Sales Engineer / Solutions Architect

Employment Type: Full-Time Location Type: Remote Salary: [Salary details not provided]

Position Overview

Wherobots is seeking a passionate, skilled, and experienced Sales Engineer / Solutions Architect to join our dynamic team in building the Spatial Intelligence Cloud – the data and AI platform for the physical world. This role is crucial to our company's success, requiring you to provide technical expertise and support to clients throughout the pre-sales and post-sales phases. You will be responsible for understanding customer technical needs, demonstrating how our products and services meet those needs, and ensuring a smooth transition from sales to implementation and support.

Key Responsibilities

Pre-Sales Responsibilities

  • Partner with sales and marketing teams to identify key business challenges across verticals and design compelling, scalable geospatial data solutions leveraging the Wherobots platform.
  • Own technical discovery sessions to deeply understand customer workflows, data infrastructure, and AI/analytics needs, translating those into actionable architectures and demonstrations.
  • Design and present high-quality architecture diagrams, integration flows, and solution blueprints tailored to customer requirements.
  • Deliver impactful product demonstrations, tailored proof-of-concepts, and performance benchmarks to showcase the value and differentiation of Wherobots in customer environments.
  • Create and maintain reusable field enablement assets, including reference architectures, decision matrices, implementation guides, and best practice playbooks.
  • Act as a technical thought partner in strategic account planning, opportunity qualification, and deal structuring, aligned with value-based outcomes.
  • Engage with industry-specific data, toolchains, and partner technologies to integrate Wherobots into complex enterprise ecosystems (e.g., Databricks, Snowflake, AWS, Google Earth Engine).

Post-Sales Responsibilities

  • Lead architectural onboarding sessions with new customers, ensuring long-term success and a seamless transition from sales to production.
  • Collaborate with customer engineering and analytics teams to design optimal data pipelines, model inference workflows, and scalable storage/query strategies on Wherobots.
  • Support customers in deploying best practices for geospatial data lifecycle management (ingestion, enrichment, inference, visualization, governance).
  • Troubleshoot advanced technical issues, serving as an escalation point and collaborating with product and support engineering teams for resolution.
  • Collect customer feedback to inform roadmap prioritization and influence the evolution of Wherobots platform capabilities and APIs.

Architecture and Solution Design Deliverables

  • Develop technical collateral for internal and external use, including:
    • Solution architecture templates
    • Integration patterns and connector documentation
    • Cloud deployment diagrams (e.g., VPC reference architectures, security/compliance overlays)
  • Maintain a library of industry-specific use cases and workload examples (e.g., mobility data pipelines, satellite image inference, retail site selection, disaster response).

Public-Facing Content & Community Engagement

  • Author high-quality, shareable technical content, including:
    • Jupyter notebooks demonstrating geospatial workflows, ML inference, and spatial joins at scale.
    • Blog posts showcasing innovative use cases, performance gains, and technical how-tos.
    • Co-branded customer success stories and solution spotlight pages for the Wherobots website.
  • Contribute to technical documentation, tutorials, and GitHub repos used by open-source and enterprise users of Apache Sedona and Wherobots.
  • Represent Wherobots at technical events, webinars, and meetups, serving as a credible evangelist of our platform to developers, data scientists, and enterprise architects.
  • Engage in online communities (Apache Sedona Discord, GitHub, LinkedIn, and other forums) to support users and share expertise in spatial data engineering.

Requirements

  • Bachelor's degree

Company Information

  • Company: Wherobots
  • Mission: Building the Spatial Intelligence Cloud, the data and AI platform for the physical world.

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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