Cyngn

Revenue Operations

• Build and maintain top-of-funnel architecture, including lead scoring, segmentation, conversion benchmarks, and pipeline health dashboards.
• Institute stage-by-stage analytics, win/loss modeling, and probability-weighted forecasting to improve forecast accuracy and deal velocity.
• Establish and lead weekly/monthly growth reviews, funnel retrospectives, and KPI forums that drive accountability across Sales and Marketing.
• Define CRM data schema, drive CRM hygiene standards, and implement analytics tooling to extract actionable insights.
• Partner with Sales Leadership, Marketing, Product, and Finance to align on ICP definition, lead generation strategy, and growth priorities.
• Define success metrics and attribution models for lead sources, campaigns, sales activities, and revenue outcomes.

Head of Revenue Operations

DevOps Engineer

• Lead end-to-end deployment of autonomous robotic systems at customer facilities.
• Conduct site surveys and assess automation readiness, infrastructure constraints, and ODD requirements.
• Generate 3D and semantic maps and validate localization and navigation performance.
• Install, configure, calibrate, and commission robotic systems in live production environments.
• Train customer operators, maintenance teams, and site stakeholders; manage handoff to support.
• Work directly with the Customer Solutions Engineering team to take their designs in a handoff and perform a full implementation and betterment of these designs.
• User Acceptance Testing (UAT): Define and lead the final testing phase during the implementation, proving to the customer that the system meets all safety and throughput Key Performance Indicators (KPIs).
• Perform the handoff and orientation of the vehicle with the customer as well as part of the handoff.
• Act as the primary technical point of contact during deployments and early operations.
• Work directly with customer IT teams to configure networks, resolve firewall/port issues, and ensure reliable connectivity.
• Run regular performance reviews with customers, using data to drive operational improvements and adoption.
• Head the deployment of the routes on site, and coordinate with the customer to make sure these routes remain optimized overtime.
• Analyze robot logs, sensor data, and system metrics using tools such as Foxglove, RViz, RQT_Bag, and PlotJuggler.
• Diagnose hardware, software, perception, and infrastructure issues in the field.
• Own incident resolution across Tier 1–3 support, ensuring fast MTTR and clear root-cause documentation.
• Monitor fleet health and KPIs using Grafana and internal dashboards.
• Provide structured feedback from the field to Product, Engineering, QA, and Perception teams.
• Support validation activities including FoV studies, data collection, and perception audits.
• Collaborate with OEM partners to integrate robotics hardware and software into new vehicle platforms.
• Build and maintain scalable deployment playbooks, checklists, and Jira-based workflows.

Head of Revenue Operations

Deployment Engineer