Engineering Manager Runtime Team at webAI

webAI logo
webAI

Engineering Manager Runtime Team

us flag
United States

On-site

Full Time

#Technology

#Golang

#Python

#Rust

#MQTT

#Kafka

#NATS

#CI CD

#Agile

#Machine Learning

#Neural Networks

webAI is looking for a Engineering Manager Runtime Team

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Engineering Manager- Runtime Team

About Us:

webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI.  webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. 
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

What’s the Job?

At WebAI, we’re scaling rapidly and are seeking an Engineering Manager who is passionate about leading high-performance teams that build distributed systems. If you’ve led teams working at scale — supporting millions of users, optimizing system performance in real time, and enabling company growth from 50 to 200+ employees — we want you to help shape our future.

What You’ll Be Doing:

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.

We’re Looking For:

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.

Key Responsibilities:

  • 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.



Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 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.

Benefits:

  • Competitive salary and 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


webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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