Senior Solutions Architect

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.