Product Marketing Manager
Inception Labs
Marketing & Communications, Product
San Francisco, CA, USA
Posted on Aug 7, 2025
Product Marketing Manager
Bay Area
Marketing
In office
Full-time
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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Req ID: R11