Senior Solutions Architect
wherobots
We are looking for a passionate, skilled, and experienced Sales Engineer / Solutions Architect to join Wherobots’ dynamic team in building the Spatial Intelligence Cloud, the data and AI platform for the physical world. The Sales Engineer / Solutions Architect plays a crucial role in the success of our company by providing technical expertise and support to our clients during both the pre-sales and post-sales phases. You will be responsible for understanding the technical needs of customers, demonstrating how our products or 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
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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
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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)
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
Experience and or familiarity with spatial data and spatial data analysis
Preferred Qualifications:
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 common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau, etc).
Proven success at enterprise software start-ups
Compensation and benefits
Wherobots offers competitive compensation, equity, and benefits. The base salary range for this position is $150k-$210k per year.
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.
