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
- Strong ability to understand product requirements, PRDs, user stories, and feature discussions
- Ability to break down product features into clear, granular, and executable engineering tasks
- Robust 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 identify gaps or ambiguities in requirements

Preferred Qualifications

- Experience working with SaaS or product development teams
- Familiarity with Agile methodologies
- Exposure to Software Development Lifecycle (SDLC)
- Experience with Jira and Confluence
- Basic understanding of frontend, backend, APIs, and integrations
- Experience creating engineering-ready user stories
- Experience working in or understanding the FinTech domain is a plus
- Demonstrated ability to use AI tools extensively for productivity and documentation

Key Responsibilities

- Understand product requirements, user stories, PRDs, and feature discussions
- Convert product requirements into clear, granular, and executable engineering tasks
- Create, organize, and maintain high-quality tickets in Linear
- Use AI-assisted workflows to accelerate ticket creation, refinement, and documentation
- Ensure every ticket contains a clear objective, scope, acceptance criteria, dependencies, and relevant documentation
- Organize and maintain epics, initiatives, milestones, and backlog structures
- Keep the backlog updated as requirements evolve
- Collaborate with Leadership, Product Owners, Designers, Architects, and Engineering teams to clarify requirements
- Identify gaps, dependencies, and ambiguities before tasks reach engineering teams
- Maintain consistency in ticket quality and documentation standards
- Use AI tools to automate repetitive documentation and task-management activities
- Support engineering teams by ensuring work items are complete, structured, and execution-ready

Why Join Us?

- Work on innovative, high-impact projects with leading global clients.
- Exposure to large-scale Data Science, AI, and Analytics initiatives.
- Continuous learning and upskilling opportunities through internal and external programs.
- Supportive and collaborative work culture with flexible policies.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage for employees and dependents.

📌 AI Enabled task manager (Noida)
🏢 CodeVyasa
📍 Noida