23 Aug
|
CodeVyasa
|
Noida
Role Overview
We are looking for an
AI-Enabled Task Manager
with
3–6 years of experience
who can convert product requirements, PRDs, feature discussions, and stakeholder inputs into well-structured, actionable engineering work items.
The primary focus of this role is
task decomposition, backlog hygiene, ticket quality, and AI-assisted documentation
. The candidate will work closely with Product, Leadership, Design, Architecture, and Engineering teams to ensure that development teams receive clear, complete, and execution-ready tickets.
This is not a Project Manager or Delivery Manager role.
Experience:
3–6 Years
Location:
Noida / Hybrid WFO
Employment Type:
Full-Time
About Us
CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as
McKinsey, Walmart, RazorPay, Swiggy
, and others. We are a team of
550+ engineers
, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.
Mandatory Skills
- 3–6 years of experience in
Product Operations,
Business Analysis, Technical Writing, or Agile Delivery Support
- Solid ability to understand
product requirements, PRDs, user stories, and feature discussions
- Ability to break down product features into
clear, granular, and executable engineering tasks
- Strong hands-on experience with
Linear – mandatory
- Strong experience with
Notion
- Experience writing clear
user stories and acceptance criteria
- Ability to define:
Objectives
Scope
Acceptance Criteria
Dependencies
Relevant links and documentation
Hands-on experience with AI tools such as:
Linear AI
Notion AI
ChatGPT
Claude
Cursor
- Ability to leverage AI for
task generation, requirement summarization, documentation, ticket refinement, and workflow automation
- Strong analytical, problem decomposition, and organizational skills
- Excellent written communication and documentation skills
- Strong attention to detail and ability to id
📌 AI Enabled task manager (Noida)
🏢 CodeVyasa
📍 Noida