Role Overview :

We are looking for an AI-Enabled Task Manager with 4 - 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.

3.

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.
- Market-competitive salary and comprehensive benefits package.
- Free healthcare coverage for employees and dependents.

📌 AI Enabled Task Manager (India)
🏢 Code Vyasa
📍 India