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Senior Software Engineer - New Products

Monday.com

Senior Software Engineer - New Products

Monday.com

Tel-Aviv, Israel

·

On-site

·

Full-time

·

6d ago

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.

Work Canvas.com— part of monday.com — is expanding into new, AI-native product areas, and we’re looking for a Senior Software Engineer to join our fast-moving, high-impact team. You will help shape and build new products from the ground up, working across the stack in a dynamic environment that blends startup velocity with monday.com scale.

As part of a small, exceptionally talented engineering group, you'll own key product areas, influence architectural decisions, and ship user-facing features rapidly. This is a rare opportunity to help define the future of monday.com’s next wave of products.

Join a tight-knit team building the next generation of collaborative, AI-powered products. We experiment quickly, validate ideas fast, and ship frequently. You’ll collaborate with senior engineers, designers, and product managers to design, build, and scale features end-to-end.

In this role, you will:

  • Build new AI-native products and features from 0→1, iterating rapidly based on user feedback
  • Work across the stack using modern technologies to create delightful user experiences
  • Lead and participate in architectural decisions as we scale multiple new product lines
  • Take full ownership of features from design to implementation, deployment, and monitoring
  • Partner closely with product and design to shape user workflows and accelerate delivery
  • Drive engineering excellence, reliability, and performance across fast-moving codebases
  • Help define best practices for AI-powered product development at monday.com

Our Tech Stack

React (Next.js), Node.js, TypeScript, PostgreSQL, Google Cloud Platform (GCP), Cloudflare, and modern AI/LLM tooling.

  • Demonstrated strong technical skills and experience building full-stack applications end-to-end
  • Deep knowledge of React (Next.js), Node.js, and TypeScript
  • Experience building features that integrate LLMs or other AI technologies (e.g., OpenAI, Gemini, Claude, Llama)
  • Experience with testing frameworks (Jest, Playwright, Cypress, etc.)
  • Experience working with cloud infrastructure (GCP/AWS), CI/CD, deployments, and monitoring
  • Familiarity with performance optimization and scalability across frontend and backend
  • Strong communication skills, team mindset, and empathy
  • Passion for creating user-centered products that customers rely on daily

Advantages

  • Experience building AI-native products

  • Experience with vector embeddings, RAG architectures, or AI inference pipelines

  • Experience with real-time collaboration, WebSockets, or state-sync frameworks

  • Familiarity with product discovery, rapid prototyping, or startup environments

  • Senior Software Engineer

  • New Products

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About Monday.com

Monday.com

A platform built for a new way of working.

1,001-5,000

Employees

Tel Aviv

Headquarters

$7.8B

Valuation

Reviews

3.6

4 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.0

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Works well for remote team management

Functional from technical perspective

Integrates into team management stack

Cons

Overly demanding implementation requirements

Excessive training requirements (50+ minute sessions)

Creates redundancy with existing tools like Jira

Salary Ranges

2 data points

Junior/L3

Junior/L3 · Data Analyst

0 reports

$83,650

total / year

Base

-

Stock

-

Bonus

-

$71,103

$96,197

Interview Experience

2 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Take-home Assignment

5

Final Presentation Round

6

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Case Study

Culture Fit