Staff Product Manager - San Francisco

Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection. To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube.

Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.

• Plaud is a bootstrapped, skyrocketing, profitable company with a $300M revenue run rate achieved in just three years.

• Define the next-gen paradigm for human-AI interaction.

• Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.

• Work with passionate teammates who value innovation, collaboration, and customer success.

• Grow your career in a culture that champions continuous learning and fast career development.

• Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

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  Own user and product discovery for next-generation Plaud AI devices, deeply understanding professional workflows, unmet needs, user behavior, and market opportunities.

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  Define the complete product experience from first principles: start with user value, define the required AI and software experience, then derive the device capabilities and hardware requirements needed to make that experience possible.

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  Develop product theses, target users, key scenarios, value propositions, interaction models, product concepts, and success metrics for new AI devices and major product iterations.

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  Work closely with AI, Software, HCI, Industrial Design, Hardware Engineering, and Shenzhen Hardware Product teams to turn experience requirements into coherent system-level product definitions.

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  Continuously validate product assumptions through users, prototypes, AI tools, experiments, usage data, and post-launch feedback, and use those insights to guide future products and portfolio strategy.

• Proven ownership of at least one successful 0-to-1 consumer technology, connected-device, wearable, audio, smart hardware, or similar product.

• Exceptional product sense and user insight; able to explain not only what was built, but why the product should exist and which user problem it solved.

• Strong understanding of software and AI products, including how AI capabilities, software workflows, services, and subscriptions affect the value proposition of a physical device.

• Sufficient hardware systems knowledge to work effectively with engineering and reason about trade-offs across form factor, sensors, audio, connectivity, compute, battery, latency, reliability, and cost.

• Strong ownership, structured thinking, communication, and ability to make high-quality decisions under ambiguity.

   

• Experience building products that combine device + app/software + AI/cloud service + recurring revenue or subscription.

• Strong track record serving North American professional or consumer users.

• Experience in AI-native interaction, voice interfaces, agents, wearables, audio, ambient computing, or next-generation HCI.

• Founder, early startup team, or zero-to-one product-team experience is highly valued.

• Demonstrated AI-native working style, including active use of LLMs for research, prototyping, specification, analysis, and product exploration.
  

• Product / AI:

  User research and product discovery

  AI product and workflow understanding

  End-to-end experience definition

  Strong product prioritization and trade-off judgment

  Data-informed product decision making

• Hardware:

  Working understanding of electronics, mechanics, firmware, sensors, audio, connectivity, battery, compute, manufacturing, and reliability

  Ability to translate product experience into device capabilities and system requirements

• Soft skills:

  First-principles thinking

  High ownership and low ego

  Excellent communication and storytelling

  Strong cross-functional influence without authority

  Bias toward action and rapid validation