Agtonomy

Machine Learning Engineer

• Develop real-time perception models for open-world obstacle and terrain understanding.
• Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions, sensor degradation, and GNSS outages.
• Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance.
• Design auto-labeling pipelines that leverage foundation models and teacher-student distillation to scale labeling and close the loop from real-world field interventions.
• Design data and evaluation pipelines that curate large multi-sensor datasets and surface failures fast, with strong visualization and debugging tooling.
• Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems.

Senior/Staff Machine Learning Engineer, Perception

Account Manager

• Spend significant time in the field with customers, supporting live demos, pilots, and on-site deployments of Agtonomy’s solutions.
• Act as the primary customer-facing representative during trials, capturing feedback on usability, performance, and operational fit.
• Build trusted relationships with farmers, growers, and enterprise operators by understanding their workflows, pain points, and success metrics.
• Partner closely with Field Operations to coordinate demos, troubleshoot issues, and ensure a strong customer experience.
• Translate field learnings into clear, actionable insights for Product, Engineering, and Sales leadership.
• Own follow-up conversations post-demo to progress opportunities toward commercial agreements.
• Manage a portfolio of strategic accounts, driving revenue through pilots, expansions, and long-term customer adoption.
• Maintain detailed notes, feedback, and opportunity tracking in HubSpot and Google Suites.
• Participate in account planning, forecasting, and pipeline reviews with sales leadership.
• Represent Agtonomy at field days, customer sites, grower meetings, and industry events.

Strategic Account Manager

General

• Lead mobile and web applications used by operators, customers, support teams, and internal users to plan work, monitor progress, manage fleets, and resolve issues in the field.
• Own the application experience across customer-facing products and internal tools, ensuring workflows are intuitive, consistent, secure, performant, and reliable.
• Scale user interfaces for autonomous machine operations, including fleet monitoring, mission planning, telemetry visualization, geospatial workflows, alerts, diagnostics, and operational reporting.
• Partner closely with the Cloud/Backend/Infrastructure team on API design, data contracts, service boundaries, reliability expectations, and integration patterns needed to support great application experiences.
• Partner with Autonomy and Platform Software teams to ensure robotic system capabilities are surfaced clearly and safely through web and mobile products.
• Raise the bar on interaction design, information architecture, workflow design, and UX polish, treating the app experience as a core competitive advantage.
• Build and lead a high-performing applications organization across mobile, web, and internal tools; set technical direction, establish quality standards, and consistently ship.

Head of Mobile, Web

Data Engineer

• Own the analytics data layer. Design and operate the ClickHouse-backed warehouse that powers operational, business, and autonomy reliability metrics, partnering with the Platform team that owns ingestion.
• Define the metrics that matter. Partner with operations, product, engineering, and finance to turn fuzzy questions into trustworthy metrics: autonomy uptime, intervention rates and classifications, release-over-release reliability, mission success, fleet utilization, customer ROI.
• Ship customer-facing data experiences. Build React dashboards inside our web and mobile customer analytics portals, partnering with the Applications & Connected Services team.
• Power internal decision-making. Build the Grafana boards, custom React dashboards, and self-serve tooling that let teams answer their own questions and catch problems before customers do.
• Be accountable for accuracy. Establish the data quality, validation, lineage, and documentation that make every number defensible. When someone asks where a metric came from, you have an answer.
• Share ownership of data contracts with the Platform and Cloud software teams.

Senior/Staff Machine Learning Engineer, Perception

Strategic Account Manager

Head of Mobile, Web

Lead Data Engineer, Analytics & Insights