Director, Implementation (US)

twentysix; Austin (TX); On-site; USD 150,000 - 225,000; Full time

Job summary

twentysix in Austin seeks a Director of Implementation to own end‑to‑end machine deployment across customer and agency environments, including scoping, deployment, and adoption. You will lead implementation engineers and solution architects, ensuring quality and timely delivery while aligning with the roadmap.

You will translate requirements into deployment plans, design integrations with customer stacks like Figma, Slack, Teams, and Adobe, and drive adoption beyond go‑live through enablement

Qualifications

• Experience leading technical implementations for software or platforms, ideally with enterprise customers.
• Strong fluency in cloud, integrations, and APIs to architect deployments and earn engineers' trust.
• Excellent verbal communications and presentation skills for customer-facing delivery and managing scope.
• People leadership experience in matrixed or cross-functional structures.
• Bias toward adoption and measurable outcomes for deployments.
• Experience with AI-enabled development tools and workflows to accelerate engineering.
• Experience orchestrating AI or agent-driven workflows, selecting models, tools, and execution patterns.
• Strong judgment to review AI outputs for security, scalability, maintainability, and fit.
• Experience building prompts, evaluation frameworks, or OT docs to improve velocity.
• Familiarity with automated evaluation and feedback loops for AI systems.

Responsibilities

• Own end-to-end implementation of the Machine across environments from scoping to deployment and adoption.
• Lead a team of implementation engineers and solution architects, setting delivery standards and pace.
• Translate customer requirements into deployment plans with platform engineering to surface gaps.
• Design integrations with tools in the customer stack (Figma, Slack, Teams, Adobe).
• Drive adoption beyond go-live with enablement, instrumentation, and follow-up.
• Coordinate with engineering, account, and customer stakeholders to align delivery.

Skills

Team leadership

Implementation delivery

Cloud & API integrations

Stakeholder management

AI-enabled development tools

Customer relationships

Tools

Figma

Slack

Teams

Adobe

Job description

We’re looking for a Director of Implementation to own how the Machine lands inside customer and agency environments. This is the role that turns a powerful platform into working systems for real teams: scoping engagements, leading deployment, integrating with existing tooling, and driving adoption through to measurable outcomes. You’ll lead a team of implementation engineers and solution architects, and you’ll be the connective tissue between the platform’s capabilities and what each customer needs from it.

WHAT YOU'LL DO

• Own end-to-end implementation of the Machine across customer and agency environments, from technical scoping through deployment, integration, and adoption – you will write code and lots of it – daily
• Stand up and lead a team of implementation engineers and solution architects, setting delivery standards and accountable for the quality and pace of every engagement
• Translate customer requirements into deployment plans, working closely with the platform engineering team to surface gaps, prioritize integrations, and feed real‑world needs back into the roadmap
• Design integrations against the tools customers already run, making the Machine work alongside Figma, Slack, Teams, Adobe, performance dashboards, and the rest of a customer’s stack
• Drive adoption past go‑live, defining what success looks like for each engagement and steering teams toward it with the right enablement, instrumentation, and follow‑through
• Partner across engineering, account, and customer stakeholders, coordinating reporting lines and expectations so delivery holds together as one effort

WHAT YOU'LL NEED

• A track record of leading technical implementations or professional‑services delivery for a software or platform product, ideally in environments with demanding enterprise customers
• Strong technical fluency across cloud, integrations, and APIs — enough to architect a deployment, debug an integration, and earn the trust of the engineers you lead
• Fantastic verbal communications and presentation skills, since this is a customer‑facing role and you must have experience owning customer relationships through delivery, including the hard conversations about scope, timelines, and tradeoffs
• People leadership experience, including in matrixed or cross‑functional structures where influence matters as much as authority
• A bias toward adoption and outcomes, with conviction about what separates a deployed tool from one a team actually uses
• Comfort leveraging AI‑enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks
• Experience orchestrating multi‑step AI or agent‑driven workflows, including selecting appropriate models, tools, and execution patterns for different use cases
• Strong judgment reviewing and hardening AI‑assisted output for security, scalability, maintainability, and architectural fit
• Experience building or maintaining prompts, evaluation frameworks, documentation, or operational context systems that improve engineering velocity and reliability
• Familiarity with automated evaluation and feedback loops for AI‑enabled systems and workflows

Base compensation range: $150,000 – $225,000.