Top Tech Jobs & Startup Jobs

Build Watney’s finance function from the ground up, including financial planning, budgeting, reporting, cash management, forecasting, and spend-approval processes. The Finance Manager will guide leadership decisions, model cash and capital needs through manufacturing or hardware scale-up, and support site leases, manufacturer builds, and vendor contract negotiations.

Own end-to-end physical operations for Watney’s autonomous robot fleet, including allocation, readiness, deployment, and customer-site launches. Establish sites through construction, security, network, and vendor coordination; manage production pilots to completion; build scheduling processes; and coordinate escalations among technicians, engineering, and site logistics. The role requires hands-on work with live hardware and construction environments, including shift-based or 24/7 operations.

Own 0-to-1 hardware programs that teach autonomous robots new tasks. Responsibilities include developing schedules and budgets, coordinating engineers and cross-functional teams, taking hardware from initial build through validation, and establishing processes where none exist. The role may expand to include robot build and manufacturing programs.

Source technical, go-to-market, operational, and leadership candidates across multiple searches. Develop sourcing strategies, engage passive candidates through outreach, referrals, and communities, and collaborate with founders and hiring managers on complex technical roles. Maintain organized, candidate-friendly recruiting processes and help establish operational recruiting excellence as the talent function scales.

The Recruiter will manage the candidate experience from outreach to offer, support sourcing efforts, coordinate interviews, and maintain accurate records in the ATS.

Deployment Strategists at Watney implement robotics for major enterprises by managing deployments, aligning customer needs with engineering solutions, and presenting strategies to executives.

Design and build off-robot full-stack systems including video annotation platforms, VR teleoperation interfaces, secure customer portals, and cloud infrastructure for ingesting and processing petabyte-scale telemetry in real time.

Design, own, and scale training and inference infrastructure for a robotic fleet. Build data pipelines, optimize distributed training and GPU utilization, speed experiment launch and reproducibility, and contribute to core training code.

Build and own end-to-end off-robot systems: develop video-heavy annotation and VR teleoperation platforms, architect cloud infrastructure and high-throughput telemetry pipelines, maintain live systems with integration testing and OpenTelemetry, and scale production deployments for autonomous robotics.

Build and scale the perception data engine and infrastructure: petabyte-scale multimodal ingestion pipelines, automated annotation and feature extraction, continuous evaluation and deterministic regression testing, and telemetry/observability to monitor model performance and data drift for autonomous robots.