Company Overview
Ambiq is on a mission to enable intelligence everywhere — powering the AI edge revolution with the world's lowest-power semiconductor solutions.
Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.
Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.
We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.
At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.
If that's you, join us — the intelligence everywhere revolution starts here.
Artificial intelligence is transforming how organizations innovate, collaborate, and execute. At Ambiq, we believe the greatest opportunity isn’t simply adopting AI tools. It’s using AI to fundamentally improve how work gets done across the enterprise, enabling our people to innovate faster, make better decisions, and create lasting competitive advantage. We’re creating a new leadership role to help make that vision a reality.
At Ambiq, we’ve built our reputation by pushing the boundaries of ultra-low-power semiconductor technology and enabling intelligence at the edge. As AI reshapes the way engineering organizations operate, we’re creating a new leadership role to help Ambiq become one of the industry’s most AI-enabled engineering organizations.
We’re looking for a Director of AI Enablement to lead that journey.
This is not an IT role.
This is not an AI engineering role.
This is a business transformation leadership role focused on applying AI to improve engineering productivity, accelerate product development, optimize business processes, and increase organizational effectiveness across the company.
You’ll partner with leaders across Engineering, Software & Solutions, Sales, Operations, Marketing, IT, HR, and other business functions to identify where AI can create measurable business value and help turn those opportunities into scalable, sustainable improvements.
If you’re excited about helping an innovative semiconductor company compete above its weight class by fundamentally improving how work gets done, we’d love to meet you.
What You’ll DoYou’ll work across the enterprise to:
- Identify high-value opportunities where AI can improve productivity and business performance
- Partner with business and technical leaders to redesign workflows and eliminate organizational friction
- Develop business cases and prioritize AI-enabled initiatives based on measurable business impact
- Lead pilots and enterprise-scale enablement efforts that drive adoption and deliver results
- Establish governance, success metrics, and executive dashboards that measure business value
- Build organizational capability through AI literacy, change leadership, and best practices
- Help create a culture of continuous improvement where AI becomes part of how Ambiq works every day
The Director of AI Enablement is not responsible for building AI products or selecting enterprise AI technologies.
Functional leaders will continue to own the evaluation, selection, implementation, and ongoing management of the technologies that best support their organizations.
Instead, this role partners with those experts to identify opportunities, align initiatives, accelerate adoption, measure business outcomes, and ensure AI investments translate into meaningful improvements in engineering productivity, organizational effectiveness, and competitive advantage.
One team builds AI into our products.
This role helps AI improve how we build those products.
Who You AreYou’re a business transformation leader who understands both technology and organizational change.
You enjoy solving complex business problems, improving workflows, and helping organizations work smarter.
You are equally comfortable discussing AI with engineers, presenting business cases to executives, and leading enterprise-wide change initiatives.
You have a track record of delivering measurable business outcomes through operational excellence, digital transformation, AI enablement, or large-scale business transformation.
Most importantly, you measure success by business impact, not technology adoption.
Why Ambiq?As a smaller, agile company, Ambiq has a unique opportunity to move faster than larger competitors, adopt new ways of working more rapidly, and create advantages that scale alone cannot provide.
This role offers the opportunity to build a new strategic capability from the ground up, work directly with executive leadership, influence every major function of the company, and help shape how one of the industry’s leading semiconductor companies operates in the AI era.
If you’re looking for an opportunity to leave a lasting mark on both an organization and an industry, we’d love to talk with you.
**Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas for this role.
Ambiq Austin, Texas, USA Office
6500 River Place Blvd, Building 7, Suite 200, Austin, Texas, United States, 78730 1119
Similar Jobs at Ambiq
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
