Associate, Sales Enablement (US)

The Associate, Sales Enablement supports seller productivity across The Machine by giving client-facing teams the demos, content, and proof they need to win. Sitting at the intersection of sales and enablement, this hands-on role builds client-specific proof-of-concepts, maintains the demo and sales-content libraries, keeps CRM and competitive materials sharp, and preps account leads for pitches. It’s a build-oriented role for someone early in their career who is equal parts technical, organized, and genuinely curious about how sophisticated enterprise buyers make decisions. You’ll work across sales, delivery, and creative teams, and see your work land directly in live client conversations.

WHAT YOU’LL DO

Translate enterprise client business problems into working proof-of-concepts (built in v0/Vercel or Claude Code), scoped tight enough to move fast but real enough to land with sophisticated buyers

Source and integrate real client data and assets (brand fonts, live API integrations, actual client datasets) rather than generic placeholders

Maintain and organize the demo repository, keeping builds accessible

Run through demos with presenters and account leads before client meetings to flag where the build might not hold up to questions

Diagnose which demo format a stakeholder needs based on previous builds

Help to maintain the central sales content library (decks, one-pagers, case studies, and battlecards) keeping everything current, versioned, and easy for account teams to find

Turn delivered work and client wins into reusable proof, capturing outcomes and context into short, sales-ready case studies

Support and maintain the Sales Motion Playbook and competitive positioning materials, editing under the direction of Sales Engineering

Build onboarding materials and documentation for new hires joining the Machine team, and maintain a document index/repo for them to review

WHAT YOU’LL NEED

1-3 years of experience (internships included) in agency new business, sales enablement, or a technical-creative hybrid role

Hands-on comfort building in low-code and AI tools (v0, Vercel, Claude). You will need to know enough to stand up a working demo

Strong prompt engineering skills

Strong organizational instincts

Ability translate technical capability into plain language for sales teams and clients

Comfort with CRM tools (HubSpot, Airtable)

Comfort working across sales, delivery, and creative teams

Genuine curiosity about AI, marketing technology and how enterprise buyers evaluate it

Agility and ability to switch priorities as projects shift

Comfort in fast-paced environments

NICE TO HAVE

Agency experience

Exposure to enterprise or agency sales cycles, new business motions, or client-facing work

Familiarity with the modern martech and adtech stack

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 compensation for this role is $85,000 – $90,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.