Your Responsibilities

• Strategic Advising: Act as a key advisor to leadership on AI strategy, translating emerging research into actionable product roadmaps and long-term technical advantages.
• Architectural Evolution: Drive the transition from experimental codebases to a robust, scalable AI architecture, across data ingestion with hardware variants, training, and inference.
• Organizational Scaling: Architect and execute the hiring strategy to grow the current team into a structured, multi-disciplinary organization capable of supporting rapid product expansion.
• E2E Pipeline Oversight: Own the full AI lifecycle, including high-bandwidth data collection methods, internal review tools, model training, and low-latency edge inference.
• Quality & Reliability: Establish rigorous evaluation benchmarks and testing protocols to ensure AI-driven robot behaviors are safe, predictable, and production-ready.
• Leadership & Mentorship: Manage two TLMs and a team of ICs, providing technical oversight, fostering engineering excellence, and building tailored career growth plans.
• Cross-Functional Alignment: Partner with Hardware, Core Platform, and Product teams to seamlessly integrate AI capabilities into the physical user experience.

You Might Thrive in This Role If You:

• Have 8+ years of software engineering experience, with at least 3+ years in a formal management role.
• Have a proven track record in AI/ML leadership, specifically managing teams that ship production-grade models (experience with computer vision, imitation learning, or robotics is a massive plus).
• Are a "Builder" of Teams: You have experience hiring and structuring teams in high-growth environments, moving from a flat structure to a specialized sub-team model.
• Understand the "Full Stack" of AI: You are comfortable discussing data labeling workflows, GPU orchestration, and the nuances of model quantization for the edge.
• Navigate Ambiguity: You can take high-level business objectives, derive the technical goals needed to achieve them, and break it down into a multi-quarter technical roadmap.
• Communicate with Impact: You can translate complex AI research into clear business outcomes for stakeholders and leadership.

Tech Stack

• Languages: Python (Primary), TypeScript/Node.js (Internal Tools)
• Infrastructure: AWS/GCP, Docker, Kubernetes
• ML Frameworks: PyTorch, JAX
• Data/Deployment: High-bandwidth sensor data streaming, GPU clusters, Edge computing

Compensation And Benefits The salary range for this role is $250,000 to $300,000, depending on experience. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

Compensation Range: $250K - $300K