Product Leader, Inworld AI
USA
$230-300k
+ Equity + Bonus
2-3 days a week in office (Mountain View, CA)
AI-powered characters for virtual environments
Be an early applicant
AI-powered characters for virtual environments
101-200 employees
Be an early applicant
$230-300k
+ Equity + Bonus
2-3 days a week in office (Mountain View, CA)
101-200 employees
Company mission
To transform static software into living AI systems that autonomously evolve to better serve their users.
Role
Who you are
- BA/BS degree or higher in Computer Science, Engineering, or a similar technical field
- 6+ years of product management experience and an exceptional track record of building 0→1 developer products in high growth environments
- Excitement about building the default infrastructure for real-time AI at consumer scale. This includes the multimodal models, pipelines, and tools needed to power the next generation of AI applications
- Comfort owning outcomes rather than just roadmaps, with strong product judgment in ambiguous problem spaces
- Founder level mindset with the ability to spot gaps, propose solutions, and move work forward without waiting for direction
- A passion for learning and staying up-to-date with the latest advancements in AI and its applications
- A very strong technical foundation with a deep understanding of developer needs and/or hands-on experience in software development
What the job involves
- You will lead the development of Inworld’s products that empower developers to effortlessly build the next generation of consumer scale AI applications
- This role is both strategic and hands on
- You will set direction, make hard prioritization decisions, and personally ensure we ship products developers love and trust
- You will collaborate with AI researchers and engineers to turn cutting-edge AI capabilities into reliable and scalable developer experiences
- Your work will directly shape how the world builds and deploys real-time AI
- Drive product vision and strategy for Inworld’s products to enable the future of consumer scale AI applications
- Translate complex AI capabilities and technical constraints into clear, developer friendly product experiences
- Work closely with C-level executives and industry leaders to align our product vision with business goals
- Partner with AI researchers and engineers to bridge technical innovation with real-world developer needs
- Synthesize partner and ecosystem feedback into clear product requirements and a prioritized roadmap, leading pre- and post-launch execution
Our take
Dialogue writing for video games has traditionally been a matter of branching conversations based on player input, but this is a time-consuming and complicated process. In modern virtual environments which can contain thousands of characters, the need to save on costs means that conversations with many characters can be shallow and repetitive. Inworld AI's solution allows for the creation of unique and flexible interactions for even the most minor characters, based on just a few descriptive sentences.
Since launching, Inworld has quickly grown from an AI-character startup into one of the key players powering consumer AI. Its early work with companies like Xbox, Disney, and NBCUniversal helped provide the value of real-time AI experiences, and now a wide range of media companies, game studios, and fast-growing startups are building on its platform.
Now, with the recent release of Inworld Runtime, the company is taking an even bigger step. By opening up the internal system they originally built to handle huge, real-time consumer workloads, Inworld is positioning Runtime as the go-to backend for any team looking to scale from an idea to millions of users. Its adaptive graphs, automated MLOps, and one-click experiments remove most of the painful engineering work that usually slows teams now. And for Inworld, this turns Runtime into more than just a product, it becomes the core of the company's future.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Aug 2023
$50m
SERIES A
Aug 2022
$50m
SERIES A
Total funding: $117m
Company HQ
Mountain View, CA
Leadership
Ilya Gelfenbeyn
(Co-Founder & Executive Chairman)Previously co-founded API.AI (now known as Google Dialogflow), a developer platform for building conversational experiences, and served as its CEO before Google acquired the company in 2016. The company also built Assistant.ai, the highest-rated independent voice assistant in the world with 40M+ users. Ilya was also the Founding Head of the Google Assistant Investments program at Google.
Michael Ermolenko
(Co-Founder & CTO)Michael has extensive experience in leading AI teams and led Machine Learning Development at API.ai and the Dialogflow NLU/AI team at Google.
Kylan Gibbs
(Co-Founder & CEO)Kylan has a background in turning advanced AI into products that naturally interact with humans. They came from DeepMind, where they led products for Conversational AI and Generative Models. Prior, Kylan worked on enterprise Machine Learning projects at Bain & Company.
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