Engineering Manager, webAI
Runtime Team
+ Performance-based incentives
Unified execution layer for AI
Open for applications
Unified execution layer for AI
21-100 employees
Open for applications
+ Performance-based incentives
21-100 employees
Company mission
To revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
Role
Who you are
- A hands-on leader with a deep understanding of building and scaling distributed systems, with a focus on backend engineering
- You’ll use your experience to mentor engineers, guide architecture decisions, and align team efforts with the company’s growth trajectory
- You’ll be involved in technical strategy discussions and contribute to the planning and execution of engineering roadmaps, ensuring the team adapts to evolving needs while maintaining high standards of performance and reliability
- You’ll bring strong communication and collaboration skills, making complex technical concepts accessible to cross-functional teams, including product managers and business stakeholders
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience
- 8+ years of experience in software engineering, with at least 3 years in a leadership or management role. Experience in backend, distributed systems, or platform teams is a plus
- Strong proficiency in backend technologies, with a preference for experience in Golang. Familiarity with Python, Rust, and messaging systems like MQTT, Kafka, or NATS is a plus
- Experience managing engineering teams, overseeing development pipelines, including CI/CD processes, and working within complex system architectures and custom deployment strategies
- You have a proven track record of fostering growth in an engineering organization, both in terms of individual contributors and the team’s ability to deliver high-quality, scalable solutions
- Proven experience in software engineering management, particularly in AI technologies
- Strong understanding of machine learning, neural networks, and data architecture
- Excellent leadership skills with a track record of managing high-performing engineering teams
- Experience with Agile methodologies and software development cycles
- Proficient in programming languages such as Python, Java, or C++
- Exceptional problem-solving abilities and strong analytical skills
- Excellent verbal and written communication skills
What the job involves
- As an Engineering Manager, you’ll lead and mentor a team of engineers, helping them grow their skills while ensuring delivery of complex technical projects
- You’ll provide guidance on the design and implementation of systems for both local air-gapped environments and customer-distributed deployments
- You’ll work closely with technical leads and product teams to drive new features and deliver robust, backwards-compatible updates that impact all of WebAI’s customers and products
- You’ll collaborate with stakeholders to balance technical decisions with product and business goals
- You’ll contribute to the growth and scalability of WebAI by improving the engineering processes, fostering a culture of continuous learning, and making technical decisions accessible to non-technical stakeholders
- Your leadership will directly influence the company’s ability to deliver AI-powered products and services, and you’ll have ownership in shaping a critical area that impacts the company’s future
Our take
On a mission to democratize artificial intelligence, WebAI has built a decentralised development platform that minimises the amount of data required to build AI models. This directly challenges the assumption that big data is intrinsic to AI, and enables for local, ownable and customizable models to be made.
The company's unified execution layer helps to streamline the training and deployment of models in a way which is both scalable and flexible. Enterprises can use their existing infrastructure to run powerful models while ensuring their data never leaves their devices. Plus they can tailor each model to their needs with no coding needed.
WebAI believes that off-the-shelf AI models lack the flexibility and control required to be used in real-world tasks, which is what its platform helps to combat. This approach has attracted impressive investment that will be used to grow its development efforts and elevate its mission to democratise AI.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Sep 2024
$60m
SERIES A
Dec 2022
$17m
SEED
Total funding: $77m
Company benefits
- Performance-based incentives
- Comprehensive health, dental, and vision benefits package
- $200/mos Health and Wellness Stipend
- $400/year Continuing Education Credit
- Flexible work week
- Free parking for in-office employees
- Unlimited PTO
- Parental & Bereavement Leave
- Supplemental Life Insurance
Company HQ
Congress Avenue Historic District, Austin, TX
Articles
Leadership
David Stout
(Co-Founder & CEO)Also Founder at Ghost House Technology.
Ethan Baird
(Co-Founder & Chief Research Officer)Previously Software Programmer at Ghost House Technology and Web Technician at Revision Marketing and Design.
Tyler Mauer
(Co-Founder & Chief Innovation Officer)Previously Director of Product and Market at Ghost House Technology, and consulted at YETi, RANDY'S HOUSE and Shinola.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 8 more jobs at webAI