Software Engineering Manager, AI at Standard Bots

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

300000.0

Posted On

24 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI Leadership, Team Building, AI Strategy, Data Ingestion, Model Training, Edge Inference, Quality Assurance, Mentorship, Cross-Functional Collaboration, Python, AWS, Docker, Kubernetes, PyTorch, JAX

Industry

Automation Machinery Manufacturing

Description

About Standard Bots At Standard Bots, we’re revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface, bringing the power of software automation to physical spaces. About the Role 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. 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.

Responsibilities

Lead the AI team and manage the entire AI lifecycle, from data collection to model inference. Drive the architectural evolution and organizational scaling to support rapid product expansion.