AI Forward Deployed Engineer

Overview

Stagwell is a global challenger network built to transform marketing through technology, creativity, data, and artificial intelligence.

Enterprise AI Solutions is a strategic growth initiative focused on helping organizations deploy and operationalize AI-powered solutions across marketing, customer experience, data, analytics, and business operations.

As organizations move from AI experimentation to enterprise-wide adoption, Stagwell helps customers integrate data, technology, workflows, and AI capabilities into scalable operating models that deliver measurable business impact.

Responsibilities

We are seeking a highly technical, customer-facing AI Forward Deployed Engineer to work directly with organizations as they deploy and scale AI-powered solutions.

The AI Forward Deployed Engineer serves as a forward-deployed partner to enterprise customers, working directly with stakeholders to understand business challenges, design practical AI solutions, drive implementation, and ensure successful operational adoption.

The ideal candidate combines technical expertise, solution architecture skills, business acumen, and a builder mentality. They enjoy solving complex problems, navigating ambiguity, and working directly with customers to turn AI concepts into deployed solutions that drive measurable outcomes.

Success in this role requires a strong sense of ownership and a willingness to move beyond recommendations into execution. This is a highly hands-on individual contributor role that works closely with enterprise customers, internal sales teams, product teams, and delivery teams to help customers become successful with AI. The initial focus of this role will be supporting Stagwell's enterprise AI application suite, including Stagwell Agentic Targeting System (SATS) Powered by Palantir and Stagwell Pulse Powered by Palantir, working closely with customers to drive successful deployment, adoption, and business outcomes.

Partner With Customers and Sales Teams

• Work directly with enterprise customers to understand business objectives, operational challenges, data environments, and AI transformation priorities.

• Partner closely with sales teams throughout the customer lifecycle, from discovery and demos through deployment and adoption.

• Support customer meetings, technical discovery sessions, solution workshops, and executive presentations.

• Help sales teams tell the AI story through customer-specific scenarios, demonstrations, and solution positioning.

• Serve as a trusted advisor to both customer stakeholders and internal go-to-market teams.

• Support customer onboarding, adoption efforts, and ongoing technical success initiatives.

Design & Deploy AI Solutions

• Architect practical AI-powered solutions that address real business challenges.

• Translate customer requirements into deployable solution designs.

• Build customer-specific use cases, workflows, and AI-powered business scenarios.

• Develop and validate proof-of-concepts, pilot programs, and production-ready solutions.

• Configure, optimize, and operationalize AI solutions within customer environments.

• Partner with technical teams to accelerate implementation and adoption.

• Help customers establish repeatable AI-enabled workflows and operating models.

Lead Enterprise AI Deployments

• Own implementation efforts from discovery through deployment.

• Facilitate technical workshops, solution working sessions, and implementation planning.

• Support customer onboarding, technical validation, testing, and rollout activities.

• Navigate technical, operational, and organizational obstacles to ensure successful execution.

• Drive cross-functional alignment between business stakeholders, technical teams, and implementation partners.

• Ensure successful transition from pilot programs to production deployments.

Work With Customer Data and Business Processes

• Translate customer business requirements into data models, workflows, and AI-enabled use cases.

• Help map customer processes, data flows, audience structures, and operational requirements.

• Work through customer data requests, integrations, and implementation considerations.

• Support Palantir Ontology development, workflow design, and solution mapping activities.

• Identify opportunities to improve customer workflows through AI, automation, analytics, and data-driven decision making.

• Collaborate with customer teams to operationalize solutions within existing business processes.

Solve Complex Problems

• Work directly with customer stakeholders to identify opportunities where AI can create measurable business value.

• Rapidly evaluate new use cases and determine practical implementation approaches.

• Troubleshoot solution gaps, workflow challenges, and adoption barriers.

• Iterate quickly based on customer feedback and evolving business requirements.

• Help customers move from experimentation to enterprise-scale adoption.

• Balance technical constraints, business priorities, and customer goals to drive successful outcomes.

Shape the Future of Enterprise AI Solutions

• Surface emerging customer needs, market trends, and solution opportunities.

• Contribute to reusable frameworks, playbooks, demo environments, and implementation methodologies.

• Influence product strategy and roadmap decisions through direct customer engagement.

• Help establish best practices for enterprise AI deployment across Stagwell.

• Support the development of repeatable deployment and onboarding programs.

• Share learnings that improve how Enterprise AI Solutions engages customers and scales delivery.

What Success Looks Like

• Enterprise AI solutions successfully deployed within customer environments.

• Customers achieve measurable operational and business outcomes through AI adoption.

• AI use cases move from proof-of-concept to production implementation.

• Sales teams are enabled with stronger demonstrations, customer scenarios, and technical support.

• Customer data requirements and business processes are successfully translated into working solutions.

• Strong executive and practitioner relationships are established across customer organizations.

• Repeatable deployment methodologies and implementation frameworks are created and scaled.

• Stagwell becomes a trusted partner for organizations navigating enterprise AI transformation.

Qualifications

Preferred Qualifications

• Experience with AI, machine learning, customer intelligence, marketing technology, customer data platforms, analytics, or enterprise software ecosystems. Familiarity with marketing technology workflows and processes is strongly preferred.

• Experience supporting technical sales motions, customer demonstrations, onboarding programs, and solution adoption efforts.

• Familiarity with Palantir Ontology concepts, customer data models, workflow mapping, audience activation, marketing measurement, and enterprise data architectures.

• Experience supporting Fortune 1000 organizations and large-scale transformation initiatives.

• Understanding of generative AI, agentic AI systems, intelligent automation, and enterprise AI deployment models.

• Experience working with marketing, media, customer experience, analytics, or growth teams.

Compensation

In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in New York City for this role is $160,000 - $200,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. This role includes commission-based incentive compensation.

In addition to medical, dental and vision coverage, we offer a generous PTO plan, 401k program, comprehensive family planning benefits (including paid parental leave), tuition reimbursement, and pre-tax commuter benefits. Benefits/perks may vary depending on the nature of your employment with Stagwell and the location where you work.