About monday.com
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.
About the Team
BigBrain is monday.com's Data Platform group and the home of the company's AI innovation.
AI Foundations is a senior team. We give every monday.com employee and AI agent safe access to the company's data at scale. We own:
BigBrain Studio: a generative AI product that turns any employee's idea into a live, hosted app or dashboard, safely running on sensitive data through our built-in governance layer.
Events pipeline: streams billions of production events into Snowflake for company-wide analytics.
The tool layer: the BigBrain MCP Gateway exposes 100+ internal and external tools (Salesforce, NetSuite, Tableau, Datadog, Sentry, and more) to Claude Code, Cursor, n8n, and our own agents.
The agent stack: our LangChain/LangGraph-based agent framework powering production agents, plus ATP (Agent Tool Protocol), our open-source protocol for agents to run code in a secure, isolated environment.
Identity and governance: authentication, authorization, and entitlements for employees and AI agents, so every action is tied to a real identity and real permissions.
Secure data access: per-user permission enforcement on every query to the company's most sensitive data.
We work AI-first: our knowledge base is written for Claude, our workflows are automated with agents, and we expect engineers to push what AI-assisted engineering can do.
We're looking for a Senior Software Engineer to take end-to-end ownership of core parts of this platform: shipping product, setting technical direction, and raising the bar for the team.
The role is based at our Tel Aviv headquarters.
About the role:
Build generative AI products people love.
Build and evolve our agent stack.
Scale our MCP Gateway.
Secure AI agents end-to-end.
Own BigBrain Identity.
Guard sensitive data.
Own production.
Lead and mentor.
Requirements:
6+ years of backend or full-stack engineering, owning cloud-native production systems at scale (AWS, Kubernetes, Docker, CI/CD).
Hands-on with LLMs and agents: agent frameworks (LangChain/LangGraph or similar), tool calling, prompt and context engineering, evals, and LLM observability.
Strong system design: APIs, SDKs, and platforms that many teams consume, evolved without breaking anyone.
Solid auth knowledge (OAuth2/OIDC, JWT, service-to-service, least privilege) and a security-first mindset with sensitive data and credentials.
Strong ownership: you take ambiguous problems from idea to production and keep them healthy.
Strong communicator and collaborator, with experience leading technical initiatives or mentoring.
Heavy daily user of AI coding tools (Claude Code, Cursor, or similar).
Advantages
MCP: building servers or gateways, OAuth for MCP, and tool governance.
Policy and entitlements: OPA/Rego, SCIM, RBAC/ABAC, or identity governance platforms.
Agent security: sandboxed code execution, agent identity and delegation, human-in-the-loop approvals, and audit trails.
Data platforms: Snowflake, data-access governance (Satori or similar), and Kafka/CDC.
Internal platforms and SDKs: owning release and versioning across many consumers.
Skills Required
- 6+ years of backend or full-stack engineering experience
- Experience owning cloud-native production systems at scale using AWS, Kubernetes, Docker, and CI/CD
- Hands-on experience with LLMs and AI agents, including agent frameworks, tool calling, prompt and context engineering, evaluations, and LLM observability
- Strong system design experience with APIs, SDKs, and platforms consumed by multiple teams
- Knowledge of OAuth2/OIDC, JWT, service-to-service authentication, and least-privilege security
- Experience taking ambiguous problems from idea through production and maintaining operational health
- Strong communication and collaboration skills
- Experience leading technical initiatives or mentoring engineers
- Heavy daily use of AI coding tools such as Claude Code or Cursor
- Experience building MCP servers or gateways, OAuth for MCP, and tool governance
- Experience with OPA/Rego, SCIM, RBAC/ABAC, or identity governance platforms
- Experience with sandboxed code execution, agent identity and delegation, human-in-the-loop approvals, or audit trails
- Experience with Snowflake, data-access governance, Kafka, or CDC
- Experience owning internal platforms and SDK release and versioning across multiple consumers
What the Team is Saying
monday.com Compensation & Benefits Highlights
-
Healthcare Strength — Comprehensive medical, dental, and vision coverage is highlighted, with multiple plan options and HSA availability. In some cases the employer covers a large share of premiums.
-
Retirement Support — Employer 401(k) contributions are explicitly advertised, with automatic contributions described in U.S. postings. This creates a clear baseline of retirement support.
-
Parental & Family Support — Fully paid parental leave is prominently featured, with substantial paid time available to both primary and secondary caregivers. This sits alongside paid sick leave and broader time-off provisions.
monday.com Insights
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!
Gallery
monday.com Teams
monday.com Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
monday.com embraces a flexible work environment with our hybrid model.
