Lead, AI Builder

InMarket•Austin, TX

9h•$150,000 - $170,000•Hybrid

About The Position

We are seeking a hands-on leader to build and manage a team of AI Builders focused on developing AI-powered internal tools that drive efficiency, automation, and scale. This role sits at the intersection of engineering, operations, and business strategy, combining team leadership with direct involvement in architecture, prioritization, and delivery. You will play a key role in shaping how AI is applied across the organization, with a direct impact on productivity, cost efficiency, and innovation.

Requirements

Strong business acumen; partners with business/ops to diagnose challenges, recommend solutions, and translate technical concepts for non-technical stakeholders
Deep experience with AI-augmented development (e.g., LLMs, modern AI tools)
Strong software engineering foundation (APIs, Git, CI/CD, cloud)
Proven ability to build and scale internal tools, automations, and platforms
Proficiency in Python, Node.js, SQL, and modern data systems
Strong systems thinking with end-to-end solution design capabilities
Experience moving from prototype to production-grade software
Clear judgment on when to use AI vs. traditional engineering approaches
Proven experience leading and developing technical teams
Strong prioritization and decision-making in fast-paced environments
Track record of delivering high-impact, measurable results
Experience working closely with business or operations teams

Nice To Haves

Experience building internal platforms or operational tooling
Familiarity with workflow orchestration, data pipelines, or job scheduling
Exposure to Docker and cloud-native tooling

Responsibilities

Build, lead, and develop a high-performing team of AI Builders
Set vision, priorities, and roadmap for AI-driven internal tooling
Establish best practices for rapid prototyping, development, and deployment
Create a culture of ownership, speed, and continuous improvement
Oversee the end-to-end lifecycle of internal AI tools from ideation to production
Guide the design and development of scalable, AI-enabled systems that automate workflows
Ensure solutions meet standards for reliability, security, and scalability
Drive the modernization of internal tooling and the reduction of technical debt
Partner with business, operations, product, and data teams to identify high-impact opportunities
Translate ambiguous business problems into clear technical solutions
Align AI initiatives with broader company strategy and roadmap
Act as a senior stakeholder partner, influencing leadership and driving adoption
Standardize processes for documentation, deployment, and system ownership
Drive adoption of tools through training, enablement, and change management
Establish metrics to measure impact (efficiency gains, cost savings, productivity)
Continuously evaluate and improve team output, velocity, and effectiveness