- Company Name
- Lemurian Labs
- Job Title
- Product Manager
- Job Description
-
Job title: Product Manager
Role Summary:
Senior technical product manager responsible for defining, designing, and launching AI infrastructure products that enable seamless, scalable model training and deployment across heterogeneous hardware. Works closely with engineering, marketing, sales, and enterprise customers to translate cutting‑edge compiler and runtime technologies into user‑centric features and go‑to‑market strategies.
Expectations:
- Drive product vision and strategy for AI infrastructure solutions.
- Own the product lifecycle from concept to launch, ensuring alignment with market needs and business objectives.
- Operate in a high‑growth, fast‑paced startup environment, delivering high‑impact products from zero to market.
Key Responsibilities:
- Identify and analyze AI workloads across industries, assessing infrastructure requirements for large‑scale model builders and enterprise AI teams.
- Define optimization strategies for AI workloads using a hardware‑agnostic software stack, ensuring seamless integration with existing tools.
- Collaborate with engineering teams to build products that accelerate AI development and deployment, translating customer insights into feature specifications.
- Engage directly with enterprise AI teams, model builders, and developers to gather requirements and validate product hypotheses.
- Work cross‑functionally with marketing, sales, and support to drive product adoption, define go‑to‑market plans, and track success metrics.
- Define and monitor key performance indicators to measure product impact and inform continuous improvement.
- Stay current on AI infrastructure advances, frameworks, and cloud-native technologies to inform product roadmap.
Required Skills:
- 6+ years product management experience in AI, cloud platforms, or developer tools.
- Deep knowledge of AI model development, inference, training platforms, and large‑scale deployment requirements.
- Strong technical foundation in compilers, AI frameworks (TensorFlow, JAX, PyTorch, Triton, XLA), and cloud‑native technologies (Kubernetes, Docker, Terraform).
- Ability to translate customer needs into actionable product features and drive engineering execution.
- Excellent communication, able to articulate complex technical concepts to both technical and non‑technical stakeholders.
- Proven track record of shipping successful products in fast‑paced environments.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, or related technical field (Master’s preferred).
- Certifications in cloud platforms (AWS, GCP, Azure) or container orchestration (CKA, CKS) are a plus.