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Syft Data
Syft Data cover picture
Founded :
2023
Type :
Product
Size :
0-20
Stage :
Raised funding

About

Identify prospects who are signaling purchase intent on your website in real time, engage them with personalized outreach at scale, and book more meetings.
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Jobs at Syft Data

Syft Data
at Syft Data
Nageswara Mannem
Posted by Nageswara Mannem
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
5 - 10 yrs
₹20L - ₹30L / yr (ESOP available)
skill iconJavascript
Technical support
Prompt engineering

As a Product Quality Analyst, you will play a critical role in ensuring that our platform delivers a polished, intuitive, and dependable experience. You will work closely with product and engineering to investigate issues, validate new functionality, and identify opportunities for improvement across the product. You will also contribute to evaluation dataset improvements when relevant to product performance. This role is ideal for someone who enjoys understanding how systems behave, digging into root causes, and shaping a high-quality product through thoughtful testing and analysis.

Requirements

  • Strong written and verbal communication skills.
  • 5+ years of experience in QA, product operations, or a related role.
  • Demonstrated product intuition: ability to understand user workflows, diagnose root causes, and propose improvements.
  • Detail-oriented, analytical, and comfortable navigating ambiguous or incomplete information.
  • Familiarity with LLMs, AI workflows, or evaluation datasets is a plus.

Responsibilities

  • Perform structured QA activities, including exploratory testing, regression testing, and release validation.
  • Analyze product behavior and real user interactions to identify bugs, UX issues, and improvement opportunities.
  • Write clear, well-scoped engineering tasks with reproduction steps, expected behavior, and impact assessments.
  • Collaborate closely with product and engineering teams to prioritize issues and confirm fixes.
  • Maintain feedback loops that align observed product behavior with roadmap decisions and customer needs.
  • Contribute as needed to evaluation dataset improvements that support product accuracy and reliability.
  • Help refine internal QA workflows and product discovery processes.


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