Sr. Solution Architect

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 in a related field (e.g., Computer Science, Engineering, Geography related field or equivalent experience)
• Experience and or familiarity with spatial data and spatial data analysis
• Minimum 5+ years experience in a pre-sales and post-sales technical support role
• Strong understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Excellent communication and presentation skills with the ability to articulate complex ideas and concepts to both technical and non-technical stakeholders
• Strong skills in databases, data warehouses, and data processing
• Problem-solving and analytical abilities
• Customer-focused with a commitment to client satisfaction
• Fosters a collaborative and supportive team dynamic
• Apache Spark
• Lakehouse Database technology (e.g. Iceberg, Glue, PostgreSQL)

Preferred Qualifications:

• Apache Sedona
• Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills in identifying key stakeholders, winning value propositions and compelling events
• Data Science/AI experience across a variety of platforms and industries
• Extensive knowledge of and experience with large-scale database technology
• Familiarity and experience with downstream consumption patterns (e.g. BI tools, customer access patterns, etc.)
• Proven success at enterprise software start-ups

Compensation and benefits

Wherobots offers competitive compensation, equity, and benefits.

Although we aim to establish a primary engineering presence in the San Francisco Bay Area, we provide flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, seniority, skills, and experience of the candidate.

Wherobots provides a competitive benefits package to all full-time employees, including 100% coverage of medical, dental, and vision insurance, access to a 401(k) plan, and unlimited PTO.