Staff Technical Product Manager, AI

webAI, Inc.•Austin, TX

31d

About The Position

The Staff Technical Product Manager is a senior-level leader responsible for driving strategy, execution, and delivery of webAI's most complex and high-impact product initiatives. This role sits at the intersection of AI research, distributed systems engineering, and enterprise product delivery. You will define long-term product direction, lead cross-functional teams, and ensure that webAI's distributed AI platform, LLM capabilities, and on-device inference stack evolve with precision and speed. As a senior individual contributor, you will own technical decision-making, influence architecture, and act as a thought partner to engineering leadership across the company. This role is ideal for someone who thrives in ambiguity, enjoys solving deeply technical problems, and can translate complex AI systems into scalable, intuitive, customer-ready products.

Requirements

5+ years of technical product management, ML engineering, or technical program management experience
Strong understanding of AI and ML technologies including LLMs, generative AI, inference frameworks, and ML training workflows
Proven ability to lead high-impact product initiatives requiring deep technical judgment
Experience working closely with engineering teams on architecture, scaling, or infrastructure products
Knowledge of distributed systems, API design, compute infrastructure, or edge-based workloads
Strong communication skills with the ability to simplify complex technical topics
Track record of delivering products in fast-paced, high-growth, or ambiguous environments
Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field

Nice To Haves

Have shipped a widely adapted AI product
Experience with on-device machine learning, model quantization, or edge inference
Hands-on ML or AI engineering background
Familiarity with data pipelines, MLOps, and AI model performance evaluation
Ability to design technical metrics, benchmarks, and reliability frameworks
Ability to influence technical direction across engineering and research teams

Responsibilities

Develop and own long-term product strategy for core platform components including distributed inference, model execution, APIs, and enterprise integrations
Work closely with Engineering, Research, and Applied AI leadership to define technical requirements and drive architectural decisions
Lead product planning and prioritization ensuring alignment across teams and with company objectives
Translate mission-critical customer requirements into actionable product specifications
Build detailed product documentation, product briefs, roadmaps, and success metrics for high-complexity initiatives
Partner with Go-to-Market, Customer Success, and Solutions teams to ensure smooth deployments and strong adoption
Break down ambiguous challenges into clear workstreams and drive execution across the full product lifecycle
Identify technical risks, interdependencies, and bottlenecks, recommending data-supported mitigation strategies
Define and maintain product standards including documentation, release processes, and cross-functional communication
Stay current with advancements in AI, LLMs, distributed systems, and emerging technologies
Mentor junior and mid-level product managers and elevate technical product thinking across the team