Gather AI

• Own the autonomy software stack for Gather products, including perception, localization, and inventory scanning pipelines running on vehicle-mounted embedded compute • Contribute to the architecture of the product autonomy stack as the product scales to more vehicle types, facility layouts, and customer configurations • Document existing systems • Plan future revisions • Contribute and lead to design improvements and testing • Solve problems across the autonomy stack • Design and implement algorithms that reliably detect, identify, and record inventory locations as forklifts and drones move through warehouse aisles under variable lighting, occlusion, and motion • Improve scan accuracy and coverage through algorithmic improvements, better sensor integration, and tighter coordination with the ML perception models • Build and maintain the software systems that manage scan triggering, location mapping, and data handoff to the cloud platform • Collaborate with hardware and field teams to diagnose and resolve issues on deployed systems, using log data and field observations to drive improvements

• Own the autonomy software stack for Gather products, including perception, localization, and inventory scanning pipelines running on vehicle-mounted embedded compute • Contribute to the architecture of the product autonomy stack as the product scales to more vehicle types, facility layouts, and customer configurations • Document existing systems • Plan future revisions • Contribute and lead to design improvements and testing • Solve problems across the autonomy stack • Design and implement algorithms that reliably detect, identify, and record inventory locations as forklifts and drones move through warehouse aisles under variable lighting, occlusion, and motion • Improve scan accuracy and coverage through algorithmic improvements, better sensor integration, and tighter coordination with the ML perception models • Build and maintain the software systems that manage scan triggering, location mapping, and data handoff to the cloud platform • Collaborate with hardware and field teams to diagnose and resolve issues on deployed systems, using log data and field observations to drive improvements

• Own the ROS2 communications and middleware layer across drone and MHEV platforms, including the Zenoh-based comms layer, behavior trees, and system integration • Maintain and evolve the Docker containers our robotics software runs in, keeping them lean, reliable, and consistently deployable to the field • Build diagnostics and observability tooling that surfaces the health of the communications layer and running services, from low-level logging through dashboard visibility • Define and manage deployment processes for getting software changes out to field hardware reliably and safely • Develop the roadmap for converging our drone and MHEV architectures into a unified platform over time, and drive the execution of that convergence • Support both Autonomy team pods across drone and MHEV, flexing between their needs as priorities shift

• Own day-to-day management of our annotation vendor relationship, including workload planning, throughput monitoring, and SLA management. • Coordinate annotation batches, scheduling, and delivery timelines across multiple production programs. • Monitor annotation quality and continuously improve labeling accuracy through structured QA processes. • Develop, maintain, and improve annotation SOPs, taxonomies, and documentation. • Build and maintain Python-based workflows for annotation data preparation, API integrations, reporting, and validation. • Partner with ML teams to prioritize annotation work that maximizes model performance. • Track work across Jira and communicate project status, risks, and capacity needs to stakeholders. • Drive operational improvements that reduce annotation turnaround time while maintaining high quality.

• Architect a greenfield, multi-layer data warehouse (raw, refined, serving) that separates analytical workloads from production OLTP traffic. • Deliver a governed, self-service data-access layer for internal consumers first (Product, CSM, Deployment/Operations, and Leadership) as Phase 1, ahead of customer-facing conversational analytics. • Build a semantic and metrics layer so every metric, such as "scan accuracy by site," is defined once in code and stays identical across every dashboard and product, making self-service safe from metric drift. • Own the quality bar: 99%+ availability SLA with freshness guarantees, 100% traceability, zero cross-tenant leakage, 99.5%+ pipeline success, and no data loss.  • Design tenant isolation, per-tenant cost attribution, and schema and row-level RBAC to scale toward hundreds of tenants (300+ target), not today's fleet size. • Own data-ingestion correctness at the boundary with the integration/backend team, covering data contracts, schema validation, and pipeline quality, so WMS data lands in the right place, shape, and time across WMS versions. • Stand up a data catalog and lineage layer (Purview as the Azure-native fit, DataHub as the open-source alternative) so every consumer can find data, see ownership, and trace lineage when a metric looks wrong. • Prove the foundation end to end on Gather's drone product, then generalize it so each new product extends the model instead of rebuilding it • Act as the connective tissue between product and ML (3DCC, damage detection). Link structured records to unstructured drone imagery and video with full traceability, and stand up the data-infra readiness for feature stores and annotation pipelines on one trusted foundation.

• Design and roll out a program-tracking system • Build a prioritization framework • Map cross-team dependencies across hardware, ML, and software • Establish a standard escalation and post-mortem rhythm for go-lives • Drive deployment-efficiency and configuration-management improvements

• Own UX design for the MHEV operator app: ramp fast, ship a v2 concept by month 3, and take full design ownership of the product line from there • Design for real operational conditions: tablet interfaces used by warehouse associates mid-shift, in noisy environments and under time pressure, where clarity isn’t a nice-to-have, it’s the whole job • Travel to customer sites to observe how people actually use our products in the field, and bring that context back into every design decision you make • Take on the Sage dashboard, our AI-driven insights layer, as your second product surface, shaping a product that’s still early enough that your decisions will define its direction • Work directly in Figma with engineering and product, prototyping quickly and handing off designs that remove ambiguity rather than create it • Use Claude and other AI tools to move from concept to functioning prototype, not just static mockups, on a team that moves fast and expects its designers to as well

• Responsible for bringing Gather AI technology to supply chain industry clients • Lead visits to client sites to automate their inventory management • Prepare for deployments and provide continued customer support, including ticket management and issue troubleshooting • Coordinate with the Research & Development team to ensure a smooth deployment process • Handle every aspect of the implementation including warehouse mapping, hardware calibration and testing, documentation, client training, and continued support • Ensure client satisfaction with the product and support provided

• Drive high growth sales while expanding our market presence across the US. • Support strategic sales plans to achieve revenue targets and drive market penetration in key sectors and geographic markets. • Support sales in identifying and pursuing new business opportunities, including strategic partnerships, alliances, and enterprise sales opportunities. • Build and maintain strong relationships with clients, understanding their business challenges and objectives to provide tailored AI solutions that deliver measurable value. • Track technical sales metrics and trends to ensure continued growth • Support sales in developing business cases and gaining alignment from technical and operational decision makers • Develop technical objection handling guidelines to support the sales team in effectively articulating the value proposition of Gather AI's solutions and overcoming customer objections. • Stay abreast of industry trends, competitive dynamics, and customer needs to inform sales strategies and tactics effectively. • Collaborate closely with product management, marketing, and other internal teams to align sales efforts with product development, marketing campaigns, and business objectives

• Lead visits to client sites to automate inventory management through drones. • Prepare for deployments and provide continued customer support. • Manage tickets and troubleshoot issues. • Coordinate with the Development team for smooth drone deployments. • Handle warehouse mapping, drone calibration and testing, documentation, and client training.