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AI Content Product Lead Job at Udacity in Mountain View

Udacity
Udacity Salary
Mountain View, CA Full Time
POSTED ON 1/14/2025
AVAILABLE BEFORE 4/9/2025

We are seeking an experienced and visionary AI Product Lead to join our team. This role will be responsible for setting the vision and strategy for Udacity's AI training catalog, driving thought leadership, forming strategic partnerships, and supporting our sales team in closing deals. The ideal candidate will have 10-15 years of experience across AI / ML, a strong engineering background, and a proven track record in online training and developer advocacy.

Responsibilities :

Strategy and Vision :

  • Develop and execute the vision and strategy for Udacity's AI training catalog.
  • Identify emerging trends in AI / ML and ensure Udacity remains at the forefront of AI education.
  • Collaborate with cross-functional teams to align product strategy with company goals.

Thought Leadership :

  • Represent Udacity as a thought leader in the AI industry.
  • Speak at conferences, webinars, and industry events to promote Udacity's AI offerings.
  • Publish articles, whitepapers, and blog posts to share insights and advancements in AI.
  • Strategic Partnerships :

  • Establish and maintain strategic partnerships with leading tech companies such as Amazon AWS, Microsoft Azure, Google Cloud, OpenAI, NVIDIA, and others.
  • Work closely with partners to co-develop training programs and certifications.
  • Leverage partnerships to enhance Udacity's AI curriculum and reach.
  • Client-Facing Engagement :

  • Engage with clients to understand their AI training needs and tailor solutions accordingly.
  • Support the sales team by participating in client meetings and presentations.
  • Help close deals by demonstrating Udacity's expertise and value in AI education.
  • Product Development :

  • Lead the development and continuous improvement of AI training programs.
  • Collaborate with instructional designers, subject matter experts, and developers to create high-quality, industry-relevant content.
  • Ensure the AI training catalog addresses the needs of both individual learners and enterprise clients.
  • Qualifications :

  • 10-15 years of experience in AI / ML, with a strong engineering background.
  • Proven experience in online training or developer advocacy.
  • Established network with big tech companies such as Amazon AWS, Microsoft Azure, Google Cloud, OpenAI, NVIDIA, or similar.
  • Demonstrated thought leadership through speaking engagements, publications, and industry involvement.
  • Strong strategic thinking and vision-setting capabilities.
  • Excellent communication and interpersonal skills.
  • Ability to work collaboratively in a fast-paced, remote environment.
  • Passion for education and a commitment to Udacity's mission.
  • Location : While this is a remote role, applicants must be currently authorized to work in the United States of America on a full-time basis.

    Compensation : The maximum base pay for this position is $185,000, depending on experience and location. This role is also eligible for a discretionary bonus, participation in Udacity’s equity plan, and generous benefits.

    Benefits :

    Experience a rewarding work environment with Udacity's perks and benefits!

  • At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai, and Noida and continue to build opportunities for team members to connect in person.
  • Flexible working hours.
  • Paid time off.
  • Comprehensive medical insurance coverage for you and your dependents.
  • Employee wellness resources and initiatives (access to wellness platforms like Headspace, Modern Health).
  • Quarterly wellness day off.
  • Personalized career development.
  • Unlimited access to Udacity Nanodegrees.
  • We are an equal-opportunity employer and value diversity at our company. Women, people of color, members of the LGBTQ community, individuals with disabilities, and veterans are strongly encouraged to apply.

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    Salary : $185,000

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