AI Systems Configurator

Tallwave•Phoenix, AZ

4d•$110,000 - $160,000•Remote

About The Position

Tallwave is seeking an AI Systems Configurator to help make the company an AI-native firm. The role identifies high-impact opportunities across delivery, operations, and growth, then turns them into practical, connected systems and workflows that improve business performance. The person in this role learns how Tallwave operates, connects business strategy to AI opportunities, challenges existing ways of working, and experiments with approaches that improve effectiveness. The position is hands-on and collaborative, focused on business outcomes rather than technology for its own sake, and on helping teams adopt new ways of working rather than simply introducing tools. Success is measured by business results, including reducing the cost to deliver each program, improving early visibility into client risk and expansion, making business intelligence more reliable, and increasing revenue per person. The role does not require being a traditional software engineer, but does require technical fluency, systems thinking, and resourcefulness to build useful solutions. The AI Systems Configurator partners with delivery and operations teams, tests builds on live client work before rollout, and presents builds and opportunities for leadership review. They help teams adopt AI-native practices through practical training and measure outcomes such as hours returned, program delivery cost, and adoption. The position follows Tallwave’s AI guardrails, including human review of client-facing outputs and compliance with data-retention requirements and data/AI clauses in client contracts before using client data. Tallwave offers remote work and office-hours flexibility. Employees are expected to work in a professional home-office environment and use standard office equipment. The position is open only to applicants legally authorized to work in the United States and living in the 48 contiguous states, Alaska, or Hawaii; visa sponsorship is not available.

Requirements

At least 5 years of relevant experience, including hands-on experience building AI or automation workflows used in production.
Background in operations, solutions engineering, RevOps or GTM engineering, technical program management, or a role translating business needs into systems and solutions used by others.
Demonstrated success translating ambiguous problems or opportunities into practical solutions that teams adopted and continued using.
Strong strategic thinking and business acumen, including the ability to understand business goals, evaluate tradeoffs, and identify where AI can deliver the greatest impact.
Genuine curiosity about AI and a track record of experimenting with emerging tools, learning quickly, and applying new capabilities creatively.
Hands-on fluency with Claude or similar LLMs, Claude Code, MCP, APIs, and automation platforms such as Zapier, Make, n8n, or Asana AI Studio.
Track record of getting teams to adopt solutions built without formal authority.
Excellent written communication and systems documentation skills, and ability to work with non-technical teams.

Nice To Haves

Professional services or agency experience.

Responsibilities

Understand Tallwave’s business strategy and identify opportunities to use AI to improve selling, delivery, and operations, beyond automating existing tasks.
Map current delivery, operations, marketing, and account-management workflows and redesign them around connected systems and agents.
Help build and maintain the company database as a reliable, connected foundation for information about clients, engagements, delivery, and business performance.
Build and maintain agentic workflows across tools including Asana, HubSpot, Claude, Granola, Google Workspace, Slack, Vercel, and Collective 54 Co-founder, using MCP connections, APIs, and automation platforms.
Automate status reporting, hours against estimation sheets, meeting capture, intake, and leadership rollups.
Surface expansion signals and early signs of client friction to account management, and client wins to marketing.
Own and continuously improve Tallwave’s AI tooling, including prompts, skills, context, and accuracy, and keep it current.
Partner with project management, operations, and program owners; test each build on live client work before rollout.
Bring builds and new opportunities to quarterly AI reviews with leadership and program owners, demonstrate impact, and help prioritize future work.
Help teams adopt AI-native ways of working through practical training focused on how work gets done.
Measure impact in business terms, including hours returned, cost to deliver per program, and adoption; retire solutions people do not use.
Uphold AI guardrails, including human review of client-facing work and compliance with data-retention rules and client contract data/AI clauses before building on client data.