AI GTM Solution Architect
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
This is a unique, dual-impact role. Externally, youâll be the person who turns AI strategy into working demos, templates, and agentic workflows that our NAM sales teams use every day to win enterprise deals. Internally, you will partner directly with AI GTM Leadership to architect and build custom AI-powered operational workflows that transform how our own revenue organization functions.
You will play a critical role in building the infrastructure that makes every rep in NAM better at AI selling, while simultaneously engineering the internal engines that power our AI GTM strategy at scale
What Youâll Do
- Build and maintain AI-powered monday.com templates across industries and use cases
- Design and deploy agentic workflow demos for enterprise sales cycles
- Partner with AEs and SEs on AI qualification strategies, technical discovery, and ROI narratives
- Join strategic customer calls as the AI technical expert, including live builds and workflow demonstrations
- Own and continuously evolve the AI demo environment to ensure it remains current, scalable, and field-ready
- Translate new AI product capabilities into compelling field-facing solutions in partnership with Product and Marketing
- Architect and build internal AI GTM workflows and operational solutions
- Design automations and AI-driven processes that solve complex operational challenges (e.g., pipeline reviews, win/loss analysis, CI workflows)
- Build integrations across the GTM tech stack to enable seamless system connectivity and data flow
- Partner closely with RevAI, RevOps, BI, IT, and internal AI innovation teams to align technical solutions with business needs
Requirements
- 3+ years of relevant experience in solutions architecture, technical GTM, or workflow automation, with deep hands-on expertise in monday.com - including boards, automations, integrations, and AI capabilities
- Experience designing AI-powered or agentic workflows
- Strong technical architecture and workflow automation capabilities
- Experience with APIs, MCP integrations, and automation platforms such as n8n, Make, or Zapier
- Ability to translate technical complexity into clear business value
- Comfort operating in enterprise sales environments and customer-facing engagements
- Strong cross-functional collaboration and communication skills
- A highly proactive builder mentality with a bias toward experimentation and execution
- Deep curiosity about AI, LLMs, and emerging agentic frameworks
Benefits & conditions
3.73.7 out of 5 stars New York, NY Hybrid work $99,000 - $150,000 a year - Full-time, * Opportunity to join an innovative, proven company with big ambitions, competitive salary and benefits, bonus potential, and some roles are eligible to take part in the company equity incentive program
- A team that values transparency and collaboration while having fun while we work
- Monthly stipends for food, wellness, and commuter/remote work
- Fully dedicated learning and development team that provides opportunities for employees to grow, gain new skills, master AI tools, and participate in workshops
- Award winning work environment - named a âBest Place to Workâ by Built In as well as âGreat Place To Workâ certified.
- We foster diversity, inclusion, and belonging through our Employee Resource Groups in addition to providing access to resources and education to support our team, facilitate conversations, and encourage understanding
- A global work environment with employees in New York, Tel Aviv, London, Sydney, SĂŁo Paulo, Tokyo, and more
Please note that this role is on a hybrid model of 3x per week in our NYC office.
Visa sponsorship for this role is currently not available.
For New York City-based hires only: Compensation Range: $99,000-$129,000 base salary, subject to standard withholding and applicable taxes. In addition to base salary, the role includes opportunity to receive and/or earn a discretionary bonus and/or equity based on Companyâs plans and in accordance with Companyâs policies. Compensation finally awarded to the candidate will be commensurate with the candidateâs skills and experience. Compensation ranges for candidates in locations outside of New York City may differ based on the cost of labor and such additional factors for such other locations.
monday.com is proud to be an equal-opportunity employer. We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, military or veteran status, cultural background, religious beliefs, or any other characteristic protected by federal, state, or local laws
LI-Hybrid
Compensation Range: $115K - $150K
About the company
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 doesnât just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where youâre empowered to shape how organizations work and outpace their competition.
Joining our team means youâre architecting how organizations run in the AI era. Youâll turn AI into high-value solutions for 250,000+ customers including 60% of the Fortune 500. Youâll act as a trusted advisor backed by a strong GTM engine and over $1B in ARR. Using our foundational platform and advanced agents, youâll help the worldâs largest brands automate and scale their impact end-to-end.
Weâre looking for a technically elite monday.com expert to sit at the intersection of AI product and field sales. Youâll be the person who turns AI strategy into working demos, templates, and agentic workflows that our NAM sales teams use every day to win deals. You will play a critical role in helping building the infrastructure that makes every rep in NAM better at AI selling
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.indeed.comGood distractions
Talks and stories from around this role â technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
How to Turn Community Events Into a Powerful AI GTM Engine: The Daytona Playbook
MLOps And AI Driven Development
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Stephan Gillich - Bringing AI Everywhere