Director, Software Product Engineering at PLAUD PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

18000.0

Posted On

09 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT PLAUD INC.

Mission: Amplify Your Intelligence.
PLAUD.AI is building the next generation of intelligence infrastructure and interface to enable people capture, extract and utilize intelligence from what they say, hear and see. Our unified infrastructure integrates hardware, software, cloud, and AI capabilities seamlessly. Through three distinct interfaces—prosumer products, enterprise solutions, and an OS-level developer platform—we’re transforming how the world captures, extracts, and utilizes intelligence from real-life interactions.

Responsibilities

ABOUT THE ROLE

We’re looking for a mature Product Leader with a forward-looking vision, system thinking mindset, and a strong belief in AI to build the next generation of AI-native office products from the ground up.
This isn’t your traditional “feature-stacking” product role. It’s about fundamentally redefining how professionals in the AI era use tools, organize information, and collaborate with intelligent agents to get work done. We’re focusing on highly professional users like doctors, lawyers, sales professionals, consultants, and teachers. Through integrated hardware and software, combined with powerful semantic understanding and intelligent generation capabilities, we aim to build truly “work-savvy” AI assistants.
You’ll be fully responsible for the product ideation, roadmap , technical design, and customer segmentation to build the core flywheel for our AI office products.

WHAT YOU WILL DO

  • Define AI Office Product Paradigm: Design human-AI collaboration models and experiences for professional working scenarios.
  • Build Product Flywheel: Create a data-driven “capture-extract-utilize” intelligent evolution loop.
  • Plan Product Capability System: Integrate Knowledge Base, Workspace, and Agent modules to build the product architecture.
  • Manage Product Pace & Resources: Develop roadmaps, drive cross-functional collaboration, and ensure timely product delivery and experience.
  • Lead Global Product Experience: Define the AI assistant’s global language style and interaction for multi-language markets (e.g., US, Europe).
  • Drive AI Capability Productization: Partner with algorithm teams to develop intelligent capabilities like content understanding, generation optimization, and feedback loops.
  • Build & Lead Product Team: Attract, manage, and develop the team, fostering an excellent product culture and decision-making.
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