Senior Product Manager

Embedding VC; Palo Alto (CA); Presencial; USD 160 000 - 260 000; Tempo integral

Resumo da oferta

LiveX AI in Palo Alto is seeking a Senior Product Manager to own the end-to-end customer experience across hardware and software. You will drive quality standards, identify gaps, and push design and engineering toward polished launches while coordinating with the CEO and founders.

The role requires 4–8 years of product management experience, startup background, and hands-on use of AI tools. On-site work in the SF Bay Area is expected.

Qualificações

• 4-8 years of product management experience with hardware-plus-software products (devices, kiosks, robotics, consumer electronics, in-venue technology).
• Early-stage startup experience owning a product end-to-end without a product team behind you.
• Proven track record of taking products from working to polished, where quality mattered more than scope.
• Product judgment for walk-up physical experiences using touch, voice, and large screens in public spaces.
• Experience with AI or conversational products and a method for measuring quality in probabilistic systems.
• Writes clear specs, acceptance criteria, and readiness checklists; uses logs, metrics, and dashboards.
• Field orientation: personally run site acceptance in stores, lobbies, or stadiums.
• Credibility with engineers and designers: able to debate tradeoffs and judge finished work.
• Hands-on use of AI tools in your own work (analysis, prototyping, writing).
• Proactive – spots gaps before others report them and drives fixes forward.
• Ownership and a clear point of view on what the product should be.
• Able to work on-site in Palo Alto; lives in or will relocate to the SF Bay Area.

Responsabilidades

• Own the end-to-end experience across hardware (screen, camera, microphones, speakers, mounting, installation) and software (character, conversation, touch/voice interface, 3D content, enterprise AI agent, admin portal) as one product.
• Set experience quality standards for each journey step (approach, greeting, conversation, product display, handoff, error recovery) with measurable targets.
• Identify gaps by visiting live deployments, running walk-up tests, reviewing conversation logs and customer feedback, auditing new builds; maintain a ranked list of what is broken, rough, or missing.
• Prioritize fixes: build a sequenced roadmap and decide between fixes, polish, and new features, backed by field evidence.
• Drive design and engineering to delivery: write specs and acceptance criteria, run the product review cadence, remove blockers, hold the team to a high bar.
• Drive launch readiness for every release and customer go-live: readiness checklists, go/no-go decisions, on-site or remote acceptance, day-one monitoring, fast post-launch fixes.
• Close the loop with customers: work with sales, deployment, and customer success to turn field issues into product fixes and fixes into customer updates.
• Represent the user across all five layers of the stack.

Conhecimentos

Hardware products

AI tools usage

Field experience

Site acceptance

Technical credibility

Formação académica

Startup experience

Ferramentas

Telemetry dashboards

Descrição da oferta de emprego

LiveX AI · Senior Product Manager
Palo Alto, CA · Full-time, in-person · Department: Product · Reports to: CEO

About LiveX AI

LiveX AI builds human-AI interfaces for physical spaces (stores, hotels, hospitals, airports, stadiums). Its 4K full-body AI agents speak 140 languages, show products in 3D, and run on-prem or in the cloud. Developed with NVIDIA on the AI City initiative; live with Walmart, PUMA, and the NFL Super Bowl. LiveX builds every layer in-house (IP design, hardware, interaction, enterprise AI agent, deployment) with two form factors: Gateway (freestanding, life-size) and Portal (wall-mounted, shelf edge). Early-stage startup in Palo Alto.

About the Role

Own the end-to-end customer experience across LiveX's hardware and software, from a passerby noticing a device to the customer leaving with their question answered. Set quality standards, find gaps between what ships and what should ship, prioritize fixes, and drive design and engineering to polished launches. The product is already live with customers; the job is to improve it and make each launch succeed. Works directly with the CEO (who owns product) and the founders leading AI and engineering.

Responsibilities

• Own the end-to-end experience across hardware (screen, camera, microphones, speakers, mounting, installation) and software (character, conversation, touch/voice interface, 3D content, enterprise AI agent, admin portal) as one product.

• Set experience quality standards for each journey step (approach, greeting, conversation, product display, handoff, error recovery) with measurable targets: response latency, recognition accuracy, conversation completion, uptime, time to install.

• Identify gaps by visiting live deployments, running walk-up tests, reviewing conversation logs and customer feedback, auditing new builds; maintain a ranked list of what is broken, rough, or missing.

• Prioritize fixes: build a sequenced roadmap and decide between fixes, polish, and new features, backed by field evidence.

• Drive design and engineering to delivery: write specs and acceptance criteria, run the product review cadence, remove blockers, hold the team to a high bar.

• Drive launch readiness for every release and customer go-live: readiness checklists, go/no-go decisions, on-site or remote acceptance, day-one monitoring, fast post-launch fixes. No release reaches a customer floor without your sign-off.

• Close the loop with customers: work with sales, deployment, and customer success to turn field issues into product fixes and fixes into customer updates.

• Represent the user across all five layers of the stack.

Requirements

• 4-8 years of product management experience, including several years on hardware-plus-software products (devices, kiosks, robotics, consumer electronics, in-venue technology).

• Early-stage startup experience (seed to Series B, under ~50 people), owning a product end to end without a product team behind you.

• Track record of taking products from working to polished, where quality rather than scope was the deliverable.

• Product judgment for walk-up physical experiences using touch, voice, and large screens in public spaces.

• Experience with AI or conversational products and a clear method for measuring quality in probabilistic systems.

• Writes clear specs, acceptance criteria, and readiness checklists; works from logs, metrics, and dashboards.

• Field orientation: has personally run site acceptance in stores, lobbies, or stadiums.

• Credibility with engineers and designers: technical enough to debate tradeoffs, design-literate enough to judge finished work.

• Required: hands-on use of AI tools in your own work (analysis, prototyping, writing).

• Required: proactive - spots gaps before others report them, proposes fixes, drives them forward unasked.

• Ownership and a clear point of view on what the product should be.

• Able to work on-site in Palo Alto; lives in or will relocate to the SF Bay Area.

Product judgment and a high quality bar are the most important hiring criteria.

Nice-to-Haves

• Strongly preferred: launch or quality ownership for a hardware-plus-software product deployed at scale in retail, hospitality, healthcare, or venues, especially across many sites.

• Digital human, avatar, voice assistant, or conversational AI products.

• Hardware programs: build validation, manufacturing partners, installation, field service.

• End-to-end product ownership in a startup or small team.

Compensation

Not listed.