Technical Program Manager ( AI)

Tasks

Technical Program Manager – AI Enablement

Location: Remote (Mexico)

We are looking for a Technical Program Manager – AI Enablement to lead the planning, coordination, and execution of our company-wide AI initiatives. This is a highly visible role that will partner with Engineering, Product, Security, and Business stakeholders to identify opportunities, evaluate solutions, and deliver impactful AI integrations.

Role Summary

As the Technical Program Manager – AI Enablement, you will lead multiple AI-related programs across the organization. These programs may include AI for code generation, CI/CD pipeline enhancement, intelligent meeting note-takers, conversational AI in Slack, and other innovative use cases. Your mission is to operationalize and scale AI capabilities in a secure, responsible, and efficient manner.

Responsibilities

• Program Ownership: Lead cross-functional programs focused on the evaluation, piloting, and rollout of AI tools across engineering, operations, and business teams.
• Vendor Evaluation: Collaborate with internal teams to assess third-party AI tools (e.g., code assistants, Slack AI bots, automated note-takers) and make informed recommendations.
• Implementation Planning: Develop roadmaps, success metrics, and rollout strategies for each AI initiative.
• Technical Coordination: Partner with engineering, Engineering Operations, and security teams to ensure safe, effective, and compliant integration of AI technologies.
• Change Management: Facilitate adoption and change initiatives, including training plans, documentation, and user feedback loops.
• Governance and Compliance: Collaborate with SecOps and Legal to ensure all AI solutions comply with data privacy, security, and usage standards.
• Metrics & Reporting: Define and track KPIs to evaluate the impact of AI solutions and provide regular updates to leadership.
• Innovation Leadership: Stay up-to-date on AI trends, tools, and best practices; bring fresh ideas to drive continuous improvement and innovation.

Key Use Cases You’ll Help Drive

• AI-assisted coding tools (e.g., GitHub Copilot, Tabnine)
• Generative AI in CI/CD pipelines
• Intelligent meeting assistants (e.g., , Fireflies)
• Slack AI integrations for summarization, Q&A, and workflows
• AI-powered internal knowledge bases
• Document generation and summarization tools

Requirements

Qualifications Required:

• 5+ years of experience in technical program management, product management, or engineering leadership.
• Hands-on experience managing or integrating AI, ML, or automation tools.
• Strong understanding of modern software development practices (CI/CD, GitOps, DevSecOps, etc.)
• Excellent communication and stakeholder management skills across technical and non-technical audiences.
• Proven track record of managing cross-functional programs in fast-paced environments.

Preferred:

• Familiarity with large language models (LLMs), GenAI applications, or natural language processing (NLP) concepts.
• Prior experience working with AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI, Hugging Face).
• Background in security, data governance, or ethical AI practices is a plus.
• Experience in a cloud-native environment (e.g., GCP, Kubernetes, serverless platforms).