Code and Theory Logo

Code and Theory

Enterprise Account Executive – Agentic AI (US)

Posted 3 Days Ago
In-Office or Remote
Hiring Remotely in New York, NY
150K-200K Annually
Senior level
In-Office or Remote
Hiring Remotely in New York, NY
150K-200K Annually
Senior level
Full-cycle enterprise seller responsible for prospecting, discovery, demos, building business cases, negotiating and closing 6- to 7-figure deals for an agentic AI product. Manage pipeline, forecast in CRM, engage multi-stakeholder buying committees, collaborate with product/marketing/delivery, and ensure clean post-sale handoffs while staying current on AI market trends.
The summary above was generated by AI

We are seeking an Enterprise Account Executive to drive revenue growth for Stagwell’s agentic AI product business.

This is a quota-carrying, full-cycle sales role for a hands-on enterprise seller. You will own opportunities from pipeline generation through close — running discovery, delivering product demos, building the business case, and driving multi-stakeholder deals across the finish line. The ideal candidate combines a proven track record in enterprise AI, SaaS, or data product sales with the technical fluency to engage credibly with both business buyers and technical evaluators. Because our engagements pair a software product with enterprise implementation, we are specifically looking for sellers who have sold both pure SaaS and software implementations — not one to the exclusion of the other.

This is an individual contributor role, not a management position. Success is measured by pipeline generated, deals closed, and revenue delivered.

WHAT YOU'LL DO

  • 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

WHAT YOU'LL NEED

  • 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 (e.g., a Salesforce-style ecosystem background), not implementations-only
  • 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 — able to run technical qualification without leaning on a sales engineer for every conversation
  • 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

NICE TO HAVE

  • Experience selling agentic AI, machine learning, or GenAI products into the enterprise
  • Familiarity with a structured sales methodology (e.g., MEDDICC, Challenger, value selling)
  • Background in sales engineering or solution consulting that evolved into a closing role
  • Background at a platform company such as Salesforce, Adobe, or a major data/cloud vendor where deals combined subscription software with implementation scope
  • Exposure to marketing, media, audience, or customer experience technology environments

ABOUT US

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.

The target range of base compensation for this role is $150,000 - $200,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

Similar Jobs

32 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
54K-70K Annually
Junior
54K-70K Annually
Junior
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.
Top Skills: Edi 834Edi 837File Transformation/MappingFlat FilesPgpSftp
33 Minutes Ago
In-Office or Remote
Site of Old Bullion, NV, USA
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The PCOA Director leads the development of patient-centered strategies in clinical trials to support registration and access, collaborating with various departments for evidence generation and alignment with regulatory standards.
Top Skills: EcoaEpro
34 Minutes Ago
In-Office or Remote
6 Locations
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead strategic account planning and execution with major health systems to expand market and brand opportunities. Build executive relationships, manage prioritized accounts and integrated account teams, co-develop projects with customers, deliver mutually beneficial business plans, and provide market insights to regional and national teams. Drive cross-functional collaboration, coach colleagues, and ensure compliant delivery of Pfizer initiatives across the assigned territory.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account