Software Engineering Manager, AI
About The Position
We are looking for an Engineering Manager to lead our AI Team . This is the role responsible for the entire AI lifecycle—from how we collect and curate physical-world data to the training and real-time inference of E2E (end-to-end) models on edge hardware. Currently, the team is in a high-growth phase. You will initially manage a focused group of ICs and Tech Lead Managers (TLMs), with the opportunity to grow and hire your team . You will be the architect of the team’s structure, responsible for building the next generation of AI talent and robotic AI capabilities at Standard Bots.
Requirements
- 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.
Nice To Haves
- experience with computer vision, imitation learning, or robotics is a massive plus
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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
11-50 employees
