Deployment Strategist

monday.com

. Lead discovery with executives and process owners to define AI deployment strategies .

Posted 11/9/2026full-timeDenver • Colorado • United StatesMid-LevelSenior💰 $120,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI deployment strategies, project management, and customer engagement within enterprise environments. Proficient in scoping, pricing, and delivering B2B SaaS software implementations while effectively communicating with stakeholders.

Highest-signal resume keywords

AI Deployment StrategiesB2B SaaS Software ImplementationProject ManagementCustomer EngagementEffort Estimation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Delivery ManagementEngagement ManagementTechnical Program ManagementGenerative AI ToolsAgentic AI ToolsEffort EstimationStatement of Work AuthorshipCommercial ModelsEnterprise System Data ExchangeWork Management Platforms

Soft Skills

Customer-Facing SkillsPresentation SkillsDetail-OrientedAdaptabilityPositive Attitude

Tools & Technologies

Project Management PlatformsCRM Platforms

Industry Keywords

Professional ServicesEnterprise CustomersStrategic OutcomesComplex Enterprise EnvironmentsConsumption-Based Models

About the role

Key responsibilities & impact

Lead discovery with executives and process owners to define AI deployment strategies
Determine departments, workflows, and use cases for intelligent, agent-driven execution on the monday AI work platform
Scope and price services engagements, including packaging, effort and unit estimation
Create proposals and statements of work
Support services sales alongside the Account Owner
Explain the path from customers’ current state to AI in production
Define outcomes, estimates, and solution structure for delivery teams
Bring in forward-deployed consultants and engineers to execute engagements
Own timeline, budget, quality, risk, and commercial administration
Run one-time projects directly and oversee execution of ongoing engagements
Direct assigned resources and define work plans with customers
Decide which AI use cases to build next and in what sequence
Track AI value realization and consumption against agreed plans
Diagnose adoption gaps and unbuilt workflows
Identify and support additional outcome opportunities within accounts
Drive additional services as new use cases and workflows emerge
Communicate status, risk, and progress to stakeholders
Manage escalations to resolution
Surface account risk and expansion signals to the Account Owner
Contribute field patterns, estimation inputs, and playbooks to improve AI deployments

Requirements

What you’ll need

Minimum 5 years of professional services experience in delivery management, engagement management, or technical program management
Significant experience working directly with enterprise customers to deliver strategic outcomes
Experience scoping and delivering B2B SaaS software implementation, transformation, or managed services engagements in complex enterprise environments
Experience working with industry-standard work management, project management, or CRM platforms
Hands-on experience with Generative and Agentic AI tools
Strong understanding of how AI changes the way work gets done
Commercial acumen for scoping, pricing, and supporting the sale of services
Experience with effort estimation and statement of work authorship
Experience with consumption-based or usage-based commercial models is a strong plus
Track record of leading technical and non-technical delivery teams through influence
Technical fluency in enterprise system data exchange and determining when software should be built versus configured
Strong customer-facing and presentation skills
Ability to establish credibility with executives and communicate technical topics to non-technical audiences
Detail-oriented, quick learner able to adopt new concepts, business models, and technologies
Superb written and verbal communication skills
Positive attitude, empathy, initiative, and adaptability
Willingness to travel up to 20% of the time
BA or BS degree preferred
Must be legally authorized to work in the United States; visa sponsorship is not available

Benefits

Comp & perks

Competitive salary
Annual discretionary bonus or role-based sales incentive plan
Equity eligibility, including RSUs for certain roles
Comprehensive medical/dental/vision insurance
Generous paid time off, including vacation, holidays, personal leave and sick leave
Fully paid parental leave
Automatic 401(k) contributions
Opportunity to purchase company stock at a discount through ESPP
Dedicated L&D team
AI workshops
Bootcamps
Internal hackathons
Collaborative global culture
Employee Resource Groups
Workplace teams across global locations