AI Engineering Tech Lead - AI Foundations

Reposted 18 Days Ago
Be an Early Applicant
Hiring Remotely in Tel Aviv, ISR
Remote or Hybrid
5-5 Annually
Senior level
Artificial Intelligence • Productivity • Sales • Software
Shaping the way the world works.
The Role
In this role, you will design and build systems transforming data into insights, develop full-stack products, integrate AI agents, and lead technical decisions.
Summary Generated by Built In
Description

monday.com is seeking an experienced, versatile AI Engineering Tech Lead to join the Big Brain group. Our mission is to builds products, AI agents, and workflows that empower monday.com employees to make better, data-driven decisions. Our customers are our employees. We design systems that transform customer signals into insights and actions, and we build AI agents that observe, reason, and enable teams to operate with clarity and confidence. This is a senior role with pivotal, company-wide impact and high visibility.

About the team:

You will be part of a dynamic BigBrain group, where collaboration and innovation are at the forefront of our culture. Our team is structured to work closely with various stakeholders, including Sales, Customer Success, R&D, and Operations, ensuring that we are aligned with the needs of our internal customers. We foster an environment that encourages open communication, creativity, and a shared commitment to excellence.

About The Role

As an AI Engineering Tech Lead on the AI Foundations Team, you will play a crucial role in shaping how we leverage data to drive decision-making across the organization. Your key responsibilities will include:

- Design and develop scalable AI infrastructure that supports various AI products.

- Collaborate with cross-functional teams to integrate AI solutions into existing systems.

- Tackle complex engineering challenges and contribute to the evolution of our AI capabilities.

- Mentor junior engineers and share best practices to foster a culture of continuous learning.

- Designing, building, and owning systems that transform customer and business data into actionable insights.

- Building full-stack products and platforms that teams rely on for decision-making.

- Owning systems from data ingestion to user-facing experiences.

Our Stack - React.js, Node.js, Ruby on Rails, AWS, ElasticSearch, Redis, MySQL, Kafka, Langchain, n8n.

Requirements

To be successful in this role, you should possess the following qualifications and skills:

- Strong technical skills and a passion for developing features end-to-end (client and server).

- 5+ years in Software Engineering roles.

- Strong experience building and owning production-grade, full-stack systems.

- Proven ability to design scalable systems and make sound architectural tradeoffs.

- Hands-on experience building or integrating AI agents and workflows.

- Comfort operating in ambiguous problem spaces with high business impact.

- Strong collaboration and communication skills when working with cross-functional teams.

- High ownership, accountability, and engineering standards.

- Degree in Computer Science (not a must; we're always looking for super talented people).

What the Team is Saying

Ruchita
Nate
Kyle
Brad Wisselman
Brad Wisselman
Bianca Collado
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The Company
HQ: New York, NY
3,049 Employees
Year Founded: 2012

What We Do

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model!

Typical time on-site: 3 days a week
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