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webAI

Senior AI Product Manager, Product SKUs

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In-Office
Austin, TX, USA
In-Office
Austin, TX, USA

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About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role

We are looking for a Senior AI Product Manager to lead our Product SKUs vertical. Your mandate is Productization at Scale: transforming custom field work into a robust, versioned, and standardized product library.

As a Senior lead, you will help us move from "custom solutions" to "standard products.". You will decide how we package our technology—defining the taxonomy of our SKUs. You will build the rigorous evaluation harnesses that allow us to guarantee performance, and you will equip our Go-To-Market teams with the deep technical context needed to sell value, not just hype.

Responsibilities

  • Productize Patterns: Convert proven field implementations into repeatable SKUs. Manage the lifecycle to ensure high reuse rather than a sprawling catalog of custom fixes.

  • Define SKU Taxonomy: Categorize products based on use-case intent, constraints, and required outputs—not just technology labels.

  • Build Evaluation Harnesses: Create the "definition of done" for each SKU: datasets, labeling standards, metrics, thresholds, and regression suites.

  • Sales Enablement: Create documentation and reference implementations (e.g., "When to use SKU Z," "Known limitations") so Business Development can recommend the right solution for specific customer constraints.

  • Manage Lifecycle: oversee versioning, deprecation, and the discipline to not proliferate SKUs with minor differentiation.

Qualifications

  • 5+ years of Product Management, Platform PM, or Technical Product Management experience.

  • 2+ years in AI/ML or Developer Platform products (e.g., APIs, SDKs, Cloud Infrastructure).

  • Systems Thinking: Demonstrated ability to abstract complex, one-off solutions into generalizable platforms or frameworks.

  • Rigorous Documentation: You treat documentation as a product. You have experience writing technical specs that engineers love and sales guides that actually get used.

  • Evaluation/QA Background: Experience with MLOps, model evaluation, or automated testing frameworks is critical.

  • Analytical Discipline: Ability to analyze usage data to make deprecation decisions or identify high-leverage product opportunities.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.

  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.

  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.

  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

  • Competitive salary and performance-based incentives.

  • Comprehensive health, dental, and vision benefits package.

  • 401k Match (US-based only)

  • $200/mos Health and Wellness Stipend

  • $400/year Continuing Education Credit

  • $500/year Function Health subscription (US-based only)

  • Free parking, for in-office employees

  • Unlimited Approved PTO

  • Parental Leave for Eligible Employees

  • Supplemental Life Insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

HQ

webAI Austin, Texas, USA Office

515 Congress Ave, Austin, Texas, United States, 78701

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
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  • 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
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