Staff Technical Program Manager, AI
TLDR
Leads cross-functional AI programs spanning infrastructure and AI workflows to deliver scalable, production-ready systems with strong governance and executive visibility.
You will lead the end-to-end execution of highly complex, cross-functional AI and technical programs, ensuring alignment across engineering, product, and operations teams. You will also define structure, governance, and delivery frameworks for emerging AI-native workflows.
- Drive large-scale AI and technical programs from planning through delivery, coordinating multiple engineering and product teams across time zones.
- Support the transition toward agentic and AI-first SDLC practices across development, testing, deployment, and operations.
- Design and manage cross-system integrations and AI workflows, ensuring reliability and interoperability across platforms and services.
- Partner with AI/ML and engineering teams to define operational readiness standards, escalation paths, and incident response procedures.
- Establish program tracking, metrics, and reporting frameworks to monitor delivery health, risk, and performance.
- Identify risks, dependencies, and bottlenecks early and communicate mitigation strategies clearly to stakeholders and executives.
- Drive continuous improvement in technical program management practices, tooling, and delivery processes.
- Enable AI-enabled execution by embedding automation, agent workflows, and intelligent tooling into program operations.
- 5+ years of experience in Technical Program Management, Engineering Management, or similar roles in high-growth tech environments.
- Strong understanding of AI/ML concepts, including model lifecycle, data pipelines, and agentic or LLM-based systems.
- Experience delivering large-scale, cross-functional technical programs spanning multiple engineering teams.
- Familiarity with AI-powered workflows and tools that improve engineering velocity, automation, or operational efficiency.
- Strong technical fluency with software development tools (e.g., GitHub, CI/CD systems) and cloud platforms (AWS, Azure, or GCP).
- Proven ability to manage risk, dependencies, and program complexity in distributed, fast-paced environments.
- Excellent communication skills with the ability to translate technical complexity into clear executive-level narratives.
- Strong systems thinking, execution discipline, and a builder mindset focused on scalable, reliable solutions.
- Experience working with AI-driven systems or production ML environments is highly preferred.
- Competitive base salary with performance-based bonus eligibility
- Equity package included in total compensation
- Fully remote work environment within the United States
- Flexible vacation and work scheduling
- Comprehensive healthcare coverage (medical, dental, vision, life insurance)
- 401(k) retirement savings plan
- Learning and development support, including training and upskilling opportunities
- Opportunity to work on cutting-edge AI and agentic systems at scale
- Inclusive, high-ownership culture focused on impact and innovation.
Requirements
The ideal candidate brings deep technical program management experience combined with strong familiarity in AI/ML systems and modern software delivery environments. You are comfortable operating in ambiguity and influencing across technical and business teams.
Benefits
Benefits
Equity Compensation
Equity package included in total compensation
Flexible Work Hours
Flexible vacation and work scheduling
Health Insurance
Comprehensive healthcare coverage (medical, dental, vision, life insurance)
Learning Budget
Learning and development support, including training and upskilling opportunities
Company culture and values
Inclusive, high-ownership culture focused on impact and innovation.
Remote-Friendly
Fully remote work environment within the United States
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services