2 days ago
Responsibilities
- Rotate across product, platform, and infrastructure teams to address the organization’s highest-leverage engineering problems.
- Investigate and resolve migrations, reliability and on-call issues, slow CI pipelines, AI quality gaps, and other complex technical challenges.
- Design, build, review, and ship production code.
- Lead cross-team technical designs involving shared APIs, data contracts, and product-platform handoffs.
- Improve engineering standards through testing, observability, runbooks, code review, and evaluation pipelines.
- Develop an end-to-end understanding of Plaud’s device, capture, transcription, AI notes, AI agent, and service systems to guide architecture decisions.
- Mentor senior engineers in the US and Asia and help develop future technical leads.
- Drive AI-native engineering practices and demonstrate effective use of AI-assisted development tools.
Requirements
- 10+ years of software engineering experience, including 3+ years at Staff level or equivalent scope.
- Deep expertise in more than one area, such as backend distributed systems, mobile or client engineering, data pipelines, or ML/LLM systems.
- Demonstrated experience leading cross-team technical work, including design documents and migrations adopted by other engineers.
- Strong proficiency in Go or Python plus at least one client stack: iOS, Android, React, or Electron.
- Cloud-native experience with AWS or GCP and Kubernetes.
- Experience shipping production LLM features involving retrieval, prompt pipelines, evaluations, latency, and cost management.
- Excellent written communication and ability to work across time zones and cultures.
- High ownership, low-ego collaboration, and willingness to prioritize team outcomes.
- Open-source contributions, highly starred GitHub repositories, conference talks, or technical publications are preferred.
- Regular use of AI tools in daily engineering work and ability to demonstrate recent usage.
Benefits
- Employee Stock Ownership Plan providing an ownership stake in Plaud’s long-term success.
- Access to AI productivity tools including Gemini, Claude Code, and other frontier AI systems.
- Choice of top-spec laptops, high-performance workstation setups, and Plaud devices.
- Annual company offsites and team events.
- Fast-moving, product-driven environment with global exposure and opportunities for career development.
Tech Stack
Categories
About Plaud
Plaud builds AI-powered hardware devices and companion apps that capture, transcribe, and summarize meetings and other conversations for professionals. The company sells its consumer electronics and meeting software directly, with subscription services layered on its devices and cloud platform. Founded in 2021 and headquartered in San Francisco, Plaud is privately held and lists SOC 2, HIPAA, GDPR, and ISO 27001/27701 compliance.