Perle takes on the heavy lifting of training complex AI models. From expert-in-the-loop data labelling to adversarial attack protection, we offer modular solutions for building the most innovative AI platforms in the world.
We're bringing humanity to artificial intelligence.
The Opportunity:
In this role, you’ll help shape the future of our platform by translating customer needs into clear, detailed product requirements and collaborating closely with engineering, design, and data labeling teams. You’ll focus on integrating LLMs in innovative ways that enhance UX, streamline labeling workflows, and improve data quality—all while honing your product management skills in a fast-paced startup environment.
About the role
Product Strategy & Vision: Partner with stakeholders to define product goals, prioritize features, and maintain a product roadmap for our training data platform.Research & Analysis: Conduct user research, analyze market trends, and gather feedback to inform product decisions—strong analytical and writing skills are a must.LLM-Driven UX: Collaborate with engineers to design and refine UX flows that leverage LLMs, ensuring an intuitive, seamless user journey for data labeling tasks.Cross-Functional Collaboration: Work with design, engineering, and data annotation teams to plan sprints, define acceptance criteria, and ensure timely delivery of features.Documentation & Communication: Create clear, concise product documentation, release notes, and internal knowledge bases that keep teams aligned and informed.Feedback & Iteration: Monitor product performance, gather user feedback, and iterate on features to continually improve user satisfaction and data quality.
What we're looking for:
Strong Research & Writing Skills: Ability to break down complex concepts into concise, actionable insights. You’ll be writing product specs, documentation, and user guides daily.Technical Curiosity: Familiarity with AI/ML concepts, LLMs, or data labeling workflows is highly preferred; a willingness to learn quickly is essential.Early Career or 1–5 Years of Experience: Experience in product management, product operations, or related internships (in tech or AI) is a plus.Collaboration Mindset: Comfortable working closely with engineers, designers, QA, and data scientists in a dynamic environment.Analytical Thinking: Ability to evaluate trade-offs, balance user needs with technical realities, and communicate rationale to diverse teams.Adaptability & Initiative: Thrive in a fast-moving startup, proactively identifying new opportunities to add value and drive product improvements.
