This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.

This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams

Hiring Company: Plaud

One-liner: Plaud is a rapidly scaling AI hardware company with $180M ARR, 10× YoY growth, and 1M+ users worldwide.

Why Join Us:

Role Responsibilities

Own the end-to-end design and delivery of AI-first workflows for complex knowledge work (e.g. preparation, collaboration, and follow-up around key meetings and decisions)
Design and iterate multi-step LLM / agent systems, including intent understanding, planning, tool/skill invocation, memory usage, and refinement loops
Build and evolve reusable AI capabilities (skills, prompts, templates, evaluation pipelines) that can be composed into multiple product experiences
Define clear success metrics for AI behavior, run experiments, and use data and examples from real interactions to continuously improve reliability and usefulness
Work closely with Engineering and ML to make pragmatic trade-offs and ship fast, while keeping a strong bar for product quality and user experience

Qualifications

Required

Solid experience building and shipping AI or ML-powered products end to end, ideally as a Product Manager, AI Engineer, or similar hybrid role
Strong working understanding of LLM-based systems: prompting, tool calling / APIs, retrieval / context construction, evaluation of model outputs, and common failure modes
Ability to translate messy user needs into clear specs and flows, including example prompts, edge cases, and expected behaviors for the AI system
Comfortable working with data and real interaction logs to debug, compare variants, and make decisions (not afraid of digging into dashboards or raw examples)
Excellent written and verbal communication in English, and proven ability to work with engineers and researchers on technically deep topics
Hands-on experience designing or implementing agent-like workflows (multi-step plans, calling multiple tools/skills, self-correction or refinement)
Experience shipping AI assistants, copilots, or productivity tools that are used frequently in users' daily workflows
Ability to read basic code or notebooks (e.g. Python) well enough to collaborate closely with ML/engineering and reason about system behavior
Track record of working in fast-moving, high-ambiguity environments, taking ideas from 0 → 1 with tight feedback loops

How can I join Jobright TNT:

If this is your first time applying to a Jobright TNT role, the process works as follows:

1. Apply to your first Jobright TNT role

2. We review your background to determine if you meet the TNT quality bar

3. If qualified, your application is directly recommended to the employer

4. Once accepted into TNT, you may be:

- Invited to apply for other exclusive TNT-only roles

- Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.

AI Applied Engineer