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webAI · 1 month ago

Staff Technical Product Manager, AI

Austin, TX

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. The Staff Technical Product Manager is responsible for driving strategy, execution, and delivery of complex product initiatives, leading cross-functional teams, and influencing technical decision-making.

Computer Software

H1B Sponsor Likely

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

Qualification

Technical product managementAIML technologiesDistributed systemsAPI designOn-device machine learningMentoring product managersCommunication skillsProblem-solving

Required

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

Preferred

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

Benefits

Competitive salary and performance-based incentives.

Comprehensive health, dental, and vision benefits package.

401k Match (US-based only)

$200/mos Health and Wellness Stipend

$400/year Continuing Education Credit

$500/year Function Health subscription (US-based only)

Free parking, for in-office employees

Unlimited Approved PTO

Parental Leave for Eligible Employees

Supplemental Life Insurance

Company

webAI

webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices.

Founded in 2020

Austin, Texas, US

51-200 employees

https://linktr.ee/thewebai

H1B Sponsorship

webAI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (9)

2024 (2)