Inception
Description
We're looking for an experienced Product Marketing Manager who can bridge the gap between our cutting‑edge AI technology and market needs. As a founding member of our marketing team, you'll have the opportunity to shape our product positioning and go‑to‑market strategy.
Key Responsibilities
Define and execute product positioning, messaging, and value propositions for our diffusion LLMs
Create compelling product narratives and enablement materials for sales, partners, and customers
Conduct market research and competitive analysis to inform our product roadmap and positioning
Lead customer segmentation and persona development, with a focus on SMB and Enterprise AI adopters
Develop use case documentation, case studies, and ROI frameworks for our diffusion LLM technology
What We're Looking For
7+ years of product marketing experience, with at least 3 years in B2B technology
Deep experience marketing technical products to developers and enterprise buyers
Strong understanding of the AI/ML landscape, particularly LLMs and their applications
Track record working in early‑stage, fast‑moving, and high‑growth environments
Perks & Benefits
Competitive salary and equity in a rapidly growing startup.
Flexible vacation and paid time off (PTO).
Health, dental, and vision insurance.
Professional development opportunities (conferences, courses, etc.).
About Us Inception is a generative AI startup. Leveraging breakthrough AI research, we have developed a platform for training next‑generation large language models (LLMs) powered by diffusion. Unlike existing auto‑regressive models, which only output one token at a time, diffusion LLMs can output many tokens in parallel. This means that they are several times faster and can leverage their additional test‑time compute to improve quality. They also enable fine‑grained control over their outputs to adhere to specific schema and semantic constraints, and they provide a unified paradigm for combining language with other data modalities, including audio, images, and videos.
Our team is led by Stefano Ermon (co‑inventor of diffusion models, flash attention, and DPO; faculty at Stanford), Aditya Grover (co‑inventor of node2vec and decision transformers; faculty at UCLA), and Volodymyr Kuleshov (prev. co‑founder and CTO at Afresh Technologies; faculty at Cornell), and includes engineers from Google Deepmind, Meta AI, Microsoft AI, and OpenAI. We are currently deploying our large‑scale diffusion LLMs at Fortune 500 companies.
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Key Responsibilities
Define and execute product positioning, messaging, and value propositions for our diffusion LLMs
Create compelling product narratives and enablement materials for sales, partners, and customers
Conduct market research and competitive analysis to inform our product roadmap and positioning
Lead customer segmentation and persona development, with a focus on SMB and Enterprise AI adopters
Develop use case documentation, case studies, and ROI frameworks for our diffusion LLM technology
What We're Looking For
7+ years of product marketing experience, with at least 3 years in B2B technology
Deep experience marketing technical products to developers and enterprise buyers
Strong understanding of the AI/ML landscape, particularly LLMs and their applications
Track record working in early‑stage, fast‑moving, and high‑growth environments
Perks & Benefits
Competitive salary and equity in a rapidly growing startup.
Flexible vacation and paid time off (PTO).
Health, dental, and vision insurance.
Professional development opportunities (conferences, courses, etc.).
About Us Inception is a generative AI startup. Leveraging breakthrough AI research, we have developed a platform for training next‑generation large language models (LLMs) powered by diffusion. Unlike existing auto‑regressive models, which only output one token at a time, diffusion LLMs can output many tokens in parallel. This means that they are several times faster and can leverage their additional test‑time compute to improve quality. They also enable fine‑grained control over their outputs to adhere to specific schema and semantic constraints, and they provide a unified paradigm for combining language with other data modalities, including audio, images, and videos.
Our team is led by Stefano Ermon (co‑inventor of diffusion models, flash attention, and DPO; faculty at Stanford), Aditya Grover (co‑inventor of node2vec and decision transformers; faculty at UCLA), and Volodymyr Kuleshov (prev. co‑founder and CTO at Afresh Technologies; faculty at Cornell), and includes engineers from Google Deepmind, Meta AI, Microsoft AI, and OpenAI. We are currently deploying our large‑scale diffusion LLMs at Fortune 500 companies.
#J-18808-Ljbffr