---
title: 'Deployment Architect at monday.com'
canonical: 'https://feeny.ai/job/deployment-architect-monday-com-new-york-ce90sckks9nj'
type: 'job'
last_seen: '2026-09-03'
---

# Deployment Architect at monday.com

- **Company:** [monday.com](https://feeny.ai/companies/monday-com)
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-03
- **Apply:** https://jobs.ashbyhq.com/monday.com/fffac67a-fdfb-482c-9187-dc1c5328db39

## Job description

monday.com http://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 ROLE

Our team is growing and we are looking for a Deployment Architect to join our Professional Services team! In this role, you will be the technical depth behind our most complex AI deployments, shaping how enterprise customers move from an ambition for AI to an architecture that runs their business. You will lead technical discovery, design the solution, estimate the work, and support the sale of technical services, then carry that design into the forward-deployed engineering team that builds it. You will also own the architecture, standards, and reference patterns our delivery organization works to, so the quality of a deployment never depends on who happened to be in the room when it was scoped.

Please note that this is a hybrid position with three days/week in our New York office.

## RESPONSIBILITIES

- Lead technical discovery for the Deployment Strategists scoping new work and for Account Owners qualifying opportunities inside existing accounts, surfacing AI, integration, and data requirements before scope and price are committed.
- Design advanced AI architecture on the monday AI work platform, spanning the agents, context, and data layers that intelligent workflows run on in an enterprise environment.
- Architect the technical scope that exceeds native platform capabilities, spanning integrations, data mobility and migrations, custom applications, and the interfaces between them.
- Estimate the effort and the consumption impact of the technical work you scope, since an incorrect estimate spends capacity the customer expected to use elsewhere.
- Partner with the Account Owner and the Deployment Strategist to sell forward-deployed engineering services, establishing credibility with enterprise architects, security reviewers, and the executives funding the work.
- Produce the solution design documents, architecture diagrams, and workflow artifacts the delivery team builds from, and the technical content behind proposals and statements of work.
- Carry your design into delivery on the most complex engagements, briefing forward-deployed consultants and engineers on the intent and providing technical oversight for early-stage execution.
- Own the technical delivery standards our consultants and engineers build to, covering architecture, security, governance, scalability, and the reference patterns behind each.
- Build the estimation models, discovery questionnaires, and reusable skill libraries that encode how work gets delivered, so most scoping happens accurately without an architect in the room.
- Serve as the technical authority the delivery team relies on, raising capability through mentoring and knowledge sharing, and advocating with Product where customer needs outpace the platform today.

## REQUIREMENTS

- Minimum 7 years as a solutions architect or forward-deployed engineer in enterprise software, with recent experience designing AI solutions for external customers.
- Demonstrated depth in AI architecture, covering agentic systems, LLM-based workflows, tool use, and context and retrieval design, with the judgment to know when an AI approach outperforms a deterministic one.
- Experience defining how AI quality is measured and maintained in production, spanning evaluation, guardrails, human review, and observability.
- Enterprise data architecture experience across complex technology landscapes, including data mobility work such as ETL, migrations, and conversions, and a read on what makes a customer's data ready for AI to act on.
- Fluency across integration approaches — API and event-driven integration, iPaaS and low-code platforms, and custom middleware — and command of the standards behind them, including REST, GraphQL, webhooks, SCIM, SAML 2.0/OAuth 2.0, and MCP.
- Working proficiency in Python or TypeScript and regular use of AI-assisted editors such as Cursor or Claude Code, sufficient to prototype a design and to evaluate the approach an engineer proposes for building it.
- Working knowledge of enterprise security, compliance, and governance requirements, including how AI systems handle customer data, and the ability to hold a design to them under review.
- Experience estimating delivery effort and creating statements of work for AI builds, data migrations, integrations, and custom application development, and building the models that let other people estimate consistently.
- Commercial acumen sufficient to run technical discovery in front of a customer and support the sale of technical services rather than just deliver them.
- Strong customer-facing and presentation skills, with superb written and verbal communication, able to establish credibility with technical stakeholders and executives and to articulate technical topics to a non-technical audience.
- Detail-oriented with strong problem-solving and documentation skills, able to work across simultaneous engagements at different stages, with a positive attitude, empathy, and the ability to take initiative and adapt.
- BA or BS degree preferred.

The estimated annual base salary range for this role is $140,000-$170,000. Actual compensation will be determined based on factors including education, training, experience, business needs, and work location. In addition to base salary, employees are eligible for either an annual discretionary bonus or a role-based, sales incentive plan. Certain roles may also include equity in the form of RSUs. Full compensation details, including any applicable bonus or incentive plan, will be provided in the hiring process.

monday.com http://monday.com offers a competitive benefits package, including comprehensive medical/dental/vision insurance, generous paid time off (vacation, holidays, personal leave and sick leave), fully paid parental leave, automatic 401(k) contributions, the opportunity to purchase company stock at a discount (ESPP), and more. Full benefits details are available upon request. Applications are accepted on a rolling basis with no set deadline.

## About monday.com

## Company Overview
- **One-liner**: monday.com is a global software company that develops a browser-based AI work platform to help teams manage their work, automate processes, and achieve more together.
- **Entity Type**: Public (Nasdaq: MNDY)
- **Headquarters**: Tel Aviv, Israel (with major offices in New York, London, Warsaw, Tokyo, Singapore, Melbourne, and Munich)
- **Founded**: February 2012 (originally as dapulse, rebranded to monday.com in 2017)
- **Founders**: Roy Mann and Eran Zinman

## Core Business
- **Primary industry/industries**: Process management, project management software, productivity software, team management, customer relationship management (CRM), collaborative software
- **Target customers**: B2B - serving over 250,000 customers globally, including over 60% of the Fortune 500
- **Mission or purpose statement**: "Shape how the world works" - helping teams get more work done with AI-powered tools that automate, build, and scale impact end-to-end.

## Products & Services
- **monday.com Work OS**: The core platform, a customizable, no-code work operating system for managing projects, workflows, and processes across teams and departments.
- **monday AI Platform**: An enterprise-grade AI infrastructure that allows users to build and deploy AI agents to automate tasks, with features like simulation mode, full user control, and a guarantee that customer data is never used to train AI models.
- **monday CRM**: A customer relationship management solution built on the Work OS.
- **monday Dev**: A product management tool tailored for software development teams.
- **monday Sales CRM**: A dedicated CRM for sales teams.
- **monday Marketer**: A work management solution for marketing teams.
- **Open API & Integrations**: An open platform allowing third-party developers to build custom views, dashboard widgets, automations, and integrations with other work apps.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap fluctuates. During its last private round in 2019, it was valued at $1.9 billion. The company went public in June 2021.
- **Key Metric**: Over $1.232 billion in annual revenue (2025), with over $1 billion in ARR.
- **Notable Investors/Partners**: Insight Partners, Sapphire Ventures, Hamilton Lane, HarbourVest Partners, ION Crossover Partners, and Vintage Investment Partners were key investors in its growth rounds.
- **Growth Signals**: The company has grown to over 3,155 employees (2025), serves over 250,000 customers, and is trusted by over 60% of the Fortune 500. It is aggressively expanding its AI capabilities with its new AI work platform and agent features.

## Competitive Advantages
- **Platform Stickiness**: monday.com is a highly customizable, no-code platform that becomes deeply embedded in a customer's daily workflows, creating high switching costs.
- **Data Privacy & Trust**: The company explicitly states that customer data is never used to train AI models, a major differentiator for enterprise clients concerned with data security.
- **Enterprise-Grade Security**: Offers robust security, governance, permissions, and compliance features, making it a trusted partner for large organizations.
- **Strong Brand & Scale**: With over 1 billion in ARR and a massive customer base, the company has significant resources for R&D and market expansion.

## Strategic Focus
- **AI-First Platform**: monday.com is pivoting heavily to become "The AI Work Platform for People & Agents," allowing users to build, validate, and deploy AI agents to automate work. This is the company's primary growth vector.
- **Expanding Enterprise Footprint**: Deepening its penetration into large enterprises by offering a secure, scalable, and customizable platform.
- **Product Ecosystem Growth**: Continuously expanding its suite of specialized products (CRM, Dev, Marketer) to capture more of the enterprise software market.

## Why Work Here
- **Product-First Culture**: The company is deeply committed to building intuitive, powerful, and easy-to-use products that solve real customer problems.
- **Impact & Ownership**: Employees are given significant ownership over their work from start to finish, fostering a culture of personal investment and high impact.
- **Hybrid Work Model**: monday.com offers a hybrid work environment, with most teams spending three days a week in the office for collaboration and the rest working remotely.
- **Career Growth**: The company provides learning programs, mentorship, development opportunities, and an internal mobility process to support diverse career paths.
- **Global & Diverse Team**: With 3,000+ employees across 15+ locations and 17 teams, the company offers a truly international and diverse work environment. It is an equal opportunity employer committed to inclusion.
- **Strong Financial Health**: As a profitable, publicly-traded company with over $1B in ARR, monday.com offers stability and long-term growth potential for its employees.

## Sources
1. [monday.com Careers Page](https://monday.com/careers)
2. [monday.com Official Website](https://www.monday.com/)
3. [Built In - monday.com Company Profile](https://builtin.com/company/mondaycom)
4. [Wikipedia - Monday.com](https://en.wikipedia.org/wiki/monday.com)
5. [LinkedIn - monday.com](https://uk.linkedin.com/company/mondaydotcom)

## Other roles at monday.com

- [Forward Deployed Consultant](https://feeny.ai/job/forward-deployed-consultant-monday-com-paris-ck6fcbrzbfra) — Paris, France
- [Customer Enablement AI Builder](https://feeny.ai/job/customer-enablement-ai-builder-monday-com-tel-aviv-961326ps1vsd) — Tel Aviv, Israel
- [Maintenance & Operations Technician](https://feeny.ai/job/maintenance-operations-technician-monday-com-tel-aviv-517xgz434kf4) — Tel Aviv, Israel
- [Forward Deployed Consultant](https://feeny.ai/job/forward-deployed-consultant-monday-com-london-r9nvq7eqmtzd) — London, United Kingdom
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-atlanta-y2b7ry5x9ef5) — Atlanta, GA
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-new-york-98p6fket7szp) — New York, NY
- [Forward Deployed Consultant](https://feeny.ai/job/forward-deployed-consultant-monday-com-tel-aviv-jg0kc3723ddt) — Tel Aviv, Israel
- [Executive Assistant - CEO's office](https://feeny.ai/job/executive-assistant-ceo-s-office-monday-com-tel-aviv-qfd8js7dz0vx) — Tel Aviv, Israel
- [Senior Engineering Manager (Resilience)](https://feeny.ai/job/senior-engineering-manager-resilience-monday-com-warsaw-dk1wwzzzdv99) — Warsaw, Poland
- [AI Research Scientist (Harmony)](https://feeny.ai/job/ai-research-scientist-harmony-monday-com-tel-aviv-98wb26hnbj01) — Tel Aviv, Israel