TL;DR
Forward Deployed Product Manager (AI): Driving customer success by translating complex technical requirements into scalable Generative AI infrastructure solutions with an accent on model inference, fine-tuning, and API integration. Focus on bridging the gap between customer feedback and the technical product roadmap to ensure successful implementation of cutting-edge AI technologies.
Location: Must be based in or able to work from San Mateo, CA, USA
Salary: $170,000–$240,000 USD
Company
hirify.global is a Series C generative AI infrastructure startup building high-performance model inference platforms for developers and enterprises.
What you will do
- Engage directly with startups and enterprises to identify AI use cases and drive platform adoption.
- Define and deliver tailored proof-of-concepts (POCs) for customer environments.
- Lead onboarding efforts, including latency benchmarks and infrastructure alignment.
- Translate customer insights into structured product definitions and feature requests.
- Collaborate with engineering and applied ML teams to align the product roadmap with market needs.
- Act as a technical advisor to customers on GenAI strategy and implementation.
Requirements
- Strong technical background (CS/EECE) or equivalent technical product management experience.
- Deep familiarity with LLMs, fine-tuning, and model inference workflows.
- 2-5+ years of product management experience focused on software engineering products.
- Ability to communicate complex AI concepts to diverse technical and non-technical audiences.
- Proven focus on driving tangible outcomes rather than just technical milestones.
- Must be authorized to work in the USA.
Nice to have
- Prior experience in high-interaction technical product management roles.
- Early-stage startup or founding experience.
- Technical leadership background.
Culture & Benefits
- Meaningful equity in a fast-growing, Series C startup.
- Competitive salary and comprehensive benefits package.
- Opportunity to solve hard problems at the forefront of AI infrastructure.
- Collaborative, fast-paced environment with minimal bureaucracy.
- Work with bleeding-edge technology alongside world-class AI researchers and engineers.
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