Ambiq  Logo

Ambiq

Director of AI Enablement

Posted An Hour Ago
Be an Early Applicant
Easy Apply
In-Office
Austin, TX
Senior level
Easy Apply
In-Office
Austin, TX
Senior level
Lead enterprise AI enablement by identifying high-value AI opportunities, redesigning workflows, building business cases, running pilots, driving adoption, establishing governance and metrics, and building organizational AI literacy to improve engineering productivity and business outcomes.
The summary above was generated by AI

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.


Build the Future of Work at Ambiq

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 Do

You’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
What Makes This Role Different

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 Are

You’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.

Similar Jobs at Ambiq

5 Days Ago
Easy Apply
In-Office
Easy Apply
Senior level
Senior level
Hardware • Internet of Things • Software • Wearables • Semiconductor
The Sr. Staff Embedded Software Engineer will lead MCU software development, focusing on Secure Boot and hardware integration, while ensuring high security standards in products.
Top Skills: AesArmBashCC++CryptocellEccGitI2CPythonRsaRtosSpiTrustzoneUart
5 Days Ago
Easy Apply
In-Office
Easy Apply
Senior level
Senior level
Hardware • Internet of Things • Software • Wearables • Semiconductor
Develop and support Ambiq's Trusted Execution Environment and related security implementations for embedded systems, ensuring compliance with security standards and seamless integration with customer builds.
Top Skills: Arm Platform Security ArchitectureArm Trusted FirmwareArm TrustzoneArm V8AssemblyCryptographyEmbedded CRtosSecure Boot
6 Days Ago
Easy Apply
In-Office
Easy Apply
Expert/Leader
Expert/Leader
Hardware • Internet of Things • Software • Wearables • Semiconductor
The Principal Edge AI Firmware Engineer will develop and optimize embedded software for AI applications, focusing on performance and energy efficiency. Responsibilities include enhancing AI runtimes, profiling tools, and ensuring customer integration across embedded environments.
Top Skills: Arm ToolchainsC/C++Cmsis-DspCmsis-NnFreertosGitPythonRustTensorflow LiteZephyr

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account