Program Director (The Machine)

Build detailed budget and scoping estimates (Gantt timelines, phase summaries, seat-load estimates, shared vs. net-new build ledgers) for enterprise clients

Partner directly with Sales and Sales Enablement on proposal development, RFP responses, and implementation planning materials

Translate sold scope into realistic delivery assumptions before contracts are signed, flagging timeline, staffing, or cost risk in commercial commitments

Maintain reusable estimation and pricing templates so proposals reflect actual delivery capacity and historical build effort

Lead delivery for the Machine Implementation team end to end: onboarding new clients, staffing pods, sequencing build phases, and managing the handoff from Sales into Machine Implementation

Track team operations, to include productivity, blockers, delivery velocity while working to remove obstacles so implementation milestones hit sold timelines

Manage staffing and resourcing reconciliation for implementation work across org chart and our internal staffing-tool sources

Serve as the accountable owner for client satisfaction across active implementations, and the primary point of escalation when delivery experience diverges from expectations

Establish a consistent cadence of client check-ins, health scoring, and satisfaction tracking across the implementation portfolio

Close the loop between what was scoped/sold and what clients experience during onboarding, feeding lessons back into future proposal and budget templates

Partner with account and product leadership on renewal risk and expansion opportunities surfaced through delivery health signals

Significant team leadership experience in a software implementations environment

Track record building commercial/budget artifacts (Gantt charts, staffing plans, cost estimates) that hold up under delivery conditions

Experience managing distributed, cross-regional teams and coordinating across time zones

Direct experience owning client satisfaction outcomes; a proactive, direct communicator who surfaces bad news early

Capability with AI tooling to enable yourself and your team to work more efficiently without generating workslop

Working fluency with delivery/ops tooling (e.g., spreadsheets, Airtable, Workfront/Maconomy or equivalent PSA tools, Jira) and comfort reconciling data across multiple systems of record

Prior experience supporting a sales or proposal process directly (RFPs, SOWs, scoping)

Experience in an agency or consulting environment supporting multiple client implementations in parallel

Experience with AI-enabled products and the staffing/build considerations specific to them

Hands-on experience with recruiting and org-planning tools such as Figma FigJam and Airtable

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 compensation range for this role is $175,000 – $210,000 and spans multiple levels. We're open to hiring at the level that best matches the right candidate's experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.