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About the Role

Drive revenue growth for Stagwell’s agentic AI product business in a quota-carrying, full-cycle sales role. Own opportunities from pipeline generation through close, including discovery, product demos, business case development, and multi-stakeholder deal management. Requires a proven track record in enterprise AI, SaaS, or data product sales with technical fluency. Experience selling both SaaS and software implementations is essential.

Responsibilities

Own and drive full-cycle enterprise sales opportunities from prospecting and qualification through negotiation and close
Build and maintain a healthy pipeline through outbound prospecting, inbound qualification, and partner-sourced opportunities
Lead discovery sessions and technical qualification, mapping customer business challenges, data requirements, and success criteria to product capabilities
Deliver compelling product demonstrations and configure tailored demos that connect agentic AI capabilities to measurable business outcomes
Translate customer needs into product-led use cases, articulating clear ROI and value narratives
Navigate complex, multi-stakeholder buying committees, engaging economic buyers, technical evaluators, and executive sponsors
Develop high-quality sales assets including presentations, business cases, and pitch content
Maintain accurate forecasting and pipeline hygiene in CRM; drive consistent deal momentum through structured follow-up
Partner with product, marketing, and delivery teams to sharpen positioning, inform the roadmap with customer feedback, and ensure clean post-sale handoffs
Stay current on the agentic AI landscape, competitive platforms, and enterprise adoption trends

Requirements

Proven track record in enterprise product sales (AI, SaaS, data, or analytics platforms) with a history of quota attainment
Experience selling both SaaS subscriptions and software implementations, comfortable structuring deals that combine product licensing with implementation and services scope
Experience owning full-cycle sales, including prospecting, discovery, demo, business case, negotiation, and close
Demonstrated success navigating complex, multi-stakeholder enterprise sales cycles with 6– to 7-figure deal sizes
Strong command of product demos and value-based selling
Technical fluency in AI, data, analytics, or platform architecture sufficient to engage engineers and architects credibly
Excellent presentation, communication, and executive storytelling skills
Self-directed pipeline builder who thrives with autonomy while collaborating in a team-based go-to-market motion
Experience selling agentic AI, machine learning, or GenAI products into the enterprise (Nice to have)
Familiarity with a structured sales methodology (e.g., MEDDICC, Challenger, value selling) (Nice to have)
Background in sales engineering or solution consulting that evolved into a closing role (Nice to have)
Background at a platform company such as Salesforce, Adobe, or a major data/cloud vendor where deals combined subscription software with implementation scope (Nice to have)
Exposure to marketing, media, audience, or customer experience technology environments (Nice to have)

Skills

Enterprise AI
SaaS
Data product sales
Technical fluency
Full-cycle sales
Prospecting
Discovery
Product demos
Business case development
Multi-stakeholder deal management
Value-based selling
Executive storytelling
CRM
Agentic AI
Machine learning
GenAI
Sales methodology

Work Type

Full-cycle sales role
Individual contributor role

Experience Level

Enterprise

Salary/Compensations

$150,000 - $200,000

About the Company

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology.
We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients.
With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve.
We have teams distributed across North America, South America, Europe, and Asia.
The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing.
We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent.
We’re always on the lookout for smart, driven, and forward-thinking people to join our team.