Engineering Manager - Computer Vision (Remote - US)
About Agot AI:
Agot AI is a computer-vision company that is changing the way the world’s largest brands in the restaurant industry serve their customers. We’ve built the leading order-intervention product that is solving one of the most difficult problems in the food industry -- with many other products in our pipeline to support the unprecedented growth of our company and the leading brands we serve.
The Role:
Agot is seeking a Software Engineering Manager with CV/ML/Algorithm experience to join the Computer Vision Team! The ideal candidate will grasp and drive complex technical topics and lead a hardworking engineering team during its product development phases.
We are looking for an engineering manager with proven leadership experience and a strong software background. The ideal candidate has gone through entire product cycles and has a variety of different experiences. You should have a solid track record of shipping complex new technology and experience in building algorithms. The ideal candidate thrives in a dynamic, constantly changing environment. You will lead teams through the software development cycle from concept to delivery, collaborating with several teams at Agot and driving the definition, schedule, execution and communication of new features. If this sounds like you, please apply!
The ideal candidate:
Solid experience managing complex, cross-functional software projects.
Strong knowledge of software development processes.
Ability to dive into technical details in Machine Learning, Computer Vision and other algorithms.
Comprehends and deals well with rapid changes and remains flexible and calm in the face of uncertainty
Excellent communication, presentation, organizational, and leadership skills
Ability to influence, lead and mitigate risks
Self-motivated and proactive with demonstrated creative and critical thinking capabilities
Has guided architecture design and solve complex technical challenges as a hands-on leader
Serious consideration will be given to qualified candidates from computer vision fields with relevant software product development experience and data science background.
What you’ll do:
In this role, you will drive large, cross-functional efforts to build and deploy advanced computer-vision products across Agot.
Work cross-functionally to plan and track software tools, infrastructure, and user studies to support technology development.
Lead and grow a world-class engineering organization that engineers relish being a part of. Develop our engineering teams by coaching and mentoring our current leaders and inspiring them with a compelling vision & strategy and by recruiting additional top talent
Be a strategic thinker, frame & find solutions to complex engineering and people challenges, measure & drive results, and be able to move fast and maintain focus on the highest impact initiatives while keeping track of trade-offs made along the way.
Use a "Product Management" mindset to engage with internal and external stakeholders to align on engineering vision, strategy and priorities that deliver measurable results. You should be able to present and drive alignment around the vision and strategy to create a clear long range roadmap.
Define and own the Engineering OKRs & roadmap and conduct quarterly roadmap reviews
Drive multiple high profile program work streams spanning our data, computer vision, platform and product engineering teams.
Identify trends and promote solutions across multiple product areas by being an influencer around software architecture best practices, including quality, supportability, scalability, performance, availability, maintainability, extensibility, and security.
Drive transparency and decision making through the engineering organization with blameless postmortems and iterative improvement programs that focus on product scale and quality.
Requirements:
3+ years software engineering management experience, including code reviews, creating timelines, strategic planning, recruiting, etc
5+ years of experience in software development building large scale consumer (web + mobile), SaaS, PaaS, IaaS or Computer Vision products using public or private clouds.
2+ years of experience leading geo-distributed enterprise scale engineering teams.
Experience building platforms (decentralized/microservice-based systems, data analytics/processing, infrastructure-based privacy software or multi-party compute platforms)
Fluency programming in python/linux at least 3 years of python
Exposure to Computer Vision (if not, work experience in CV)
Deep learning experience
1-2 years Machine learning
Agile/Waterfall/Scrum/Sprint proven leadership
Experience with machine learning metrics, data analysis and experiment management
Good team player with great communication skills
Good knowledge of Linux (Ubuntu or RedHat)
Strong ability to inspire and lead others
Deep understanding and commitment to software engineering principles/processes (e.g., Lean, Agile, DevOps, CI/CD, TDD, XP) and continuous improvement through measurement
Experience leading, or working with, data engineering and data science teams
Experience leading, or working with, platform engineering and SRE teams
Ability to operate effectively in both tactical and strategic capacities - You can comfortably adjust your altitude and roll-up your sleeves as needed
Experience with rapid scaling of engineering organization by hiring and retaining exceptional talent
Commitment to product excellence and experience promoting the right balance between best practices and feature delivery
Demonstrated experience of promoting culture and diversity throughout a large engineering organization to achieve transformational change
Excellent communication skills for both horizontal and vertical organizational lines
Degree in Computer Science, Computer Engineering, or equivalent
Nice to have:
Ability to be flexible and adaptable in a startup environment
Knowledge of Git and Atlassian products such as Jira and Confluence
Understanding of camera models, calibration methods, distortion models and rectification methods, image/video segmentation