Senior AI Product Manager, webAI
Product SKUs
Offers performance-based incentives
Enterprise grade local AI applications
Be an early applicant
Enterprise grade local AI applications
101-200 employees
Be an early applicant
Offers performance-based incentives
101-200 employees
Company mission
To revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
On a mission to democratize artificial intelligence, WebAI has built a decentralized development platform that minimizes the amount of data required to build AI models. This directly challenges the assumption that big data is intrinsic to AI, and enables for local, ownable and customizable models to be made.
The company's unified execution layer helps to streamline the training and deployment of models in a way which is both scalable and flexible. Enterprises can use their existing infrastructure to run powerful models while ensuring their data never leaves their devices. Plus, they can tailor each model to their needs with no coding needed.
WebAI believes that off-the-shelf AI models lack the flexibility and control required to be used in real-world tasks, which is what its platform helps to combat. This approach has attracted impressive investment that will be used to grow its development efforts and elevate its mission to democratize AI.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2024
$60m
SERIES A
Dec 2022
$17m
SEED
Total funding: $77m
Company benefits
- Grow with us: Equity options so you share in our growth. Build your future as we build ours.
- Family first: Parental leave and fertility support for every stage of life. Your family matters here.
- Plan your future: A 401(k) to help you save and invest. Secure what's ahead with confidence.
- Stay well: Comprehensive health coverage for body and mind. Because balance fuels great work.
- Keep learning: A stipend to explore, study, and sharpen your skills. Growth never stops.
- Work anywhere: Remote-first with flexible time off to recharge. Find balance wherever you are.
Company HQ
Congress Avenue Historic District, Austin, TX
Leadership
David Stout
(Co-Founder & CEO)Alongside WebAI, David is the Founder of Ghost House Technology.
Ethan Baird
(Co-Founder & Chief Research Officer)Previously, Ethan was a Software Programmer at Ghost House Technology and a Web Technician at Revision Marketing and Design.
Tyler Mauer
(Co-Founder & Chief Innovation Officer)Tyler is also a Director of Product & Market at Ghost House Technology, Previously he held Consultant roles at YETi CGI, RANDY'S House, and Shinola.
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