AI Software Engineering Manager, Standard Bots
$250-300k
Offers Equity
AI-powered robots
Be an early applicant
AI-powered robots
21-100 employees
Be an early applicant
$250-300k
Offers Equity
21-100 employees
Company mission
To propel human productivity through the world’s most accessible robots.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
In recent years, the field of robotics has brought to life ideas that once belonged to the world of sci-fi. But, robots are still extremely complex to program, making the automations they facilitate out of reach for many businesses.
Standard Bots is setting out to change this, with AI-powered robots and a complementary robotics platform that means they can be programmed through simple demonstrations. This approach should broaden the accessibility of robots to businesses of all sizes, enabling them to employ automations that can give them a competitive edge.
It's an intriguing proposition, and investors clearly agree, with the company raising substantial funding to support its mission. Standard Bots plans to use these funds to expand its engineering team and speed up the development of its robots, as well as further improve its robotics platform.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jul 2024
$63m
SERIES B
Oct 2022
$24m
SERIES A
Total funding: $87m
Company HQ
Glen Cove, NY
Leadership
Evan Beard
(Co-Founder & CEO)Previously Co-Founder and CEO at A Plus. Also co-founded Gridtech and Etacts, and was a Senior Member of the Technical Staff in Software Engineering at Salesforce.
David Golden
(Co-Founder)Co-founder and Chairman at Miralinc Pharma, and Co-founder at Bowery Farming. Previously co-founded and was CEO at LeapPay, and has also worked in Investment at several businesses.
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