Ahmedabad Gujarat Qa engineer automation Jobs – 101 Open Jobs Today

Product Manager
E2M SOLUTIONS PRIVATE LIMITED —Ahmedabad, Gujarat
- Azure
- Computer Science
- System design
Mechanical Design Engineer
Endlos Innovations —Ahmedabad, Gujarat
- ₹30,000 - ₹35,000 a month
- Full-time
- AutoCAD
- CAD
- Master's degree
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Technical Lead – MERN Stack & Cloud
mobio solutions —Ahmedabad, Gujarat
- Full-time
- Azure
- System design
- SQL
Front-End Developer - UI/UX Developer
Financial Edge —Ahmedabad, Gujarat
- From ₹3,00,000 a year
- Full-time
- English
- JavaScript
- APIs
Quick apply
9d
Digital Lead – PMO
AECOM —Gandhinagar, Gujarat
- Full-time
- Engineering
- Master's degree
- Project management
- Health insurance
- Paid time off
Senior Manager - Product Development
Milacron —Ahmedabad, Gujarat
- Full-time
- Computer Science
- Software troubleshooting
- Master's degree
Quick apply
6d
SSE/TL Fullstack Developer
Crest Data Systems —Ahmedabad, Gujarat
- System design
- Databases
- APIs
DevOps Team Lead
Uffizio —Ahmedabad, Gujarat
- Azure
- DevOps
- AWS
Quick apply
Senior Data Engineer (Azure)
Sculpsoft —Ahmedabad, Gujarat
- Full-time
- Azure
- DevOps
- Business development
- Health insurance
- Flexible schedule
Tech Lead- Java
VasyERP Solutions —Ahmedabad, Gujarat
- Azure
- Java
- Databases
Quick apply
Software Support Team Lead
Mantra Softech India Pvt Ltd —Ahmedabad, Gujarat
- From ₹30,000 a month
- Full-time
- Computer Science
- Software troubleshooting
- Windows
- Health insurance
- Paid sick time
Quick apply
12d
BDM – Process Instrumentation
Lubi Electronics —Ahmedabad, Gujarat
- Full-time
- Master's degree
- Business development
- Bachelor's degree
Sr. Frontend Developer
Sculpsoft —Ahmedabad, Gujarat
- Full-time
- Azure
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Xamarin Developer
Sculpsoft —Ahmedabad, Gujarat
- Full-time
- Azure
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QC Inspector – Incoming Inspection
Cair Euromatic Automation Pvt Ltd —Narol, Ahmedabad, Gujarat
- ₹12,000 - ₹15,000 a month
- Full-time
- Quality control
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Senior .Net Developer
Sculpsoft —Ahmedabad, Gujarat
- Full-time
- Azure
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Business Development Associate
Sculpsoft —Ahmedabad, Gujarat
- Full-time
- Azure
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- Health insurance
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Content Writer
Sculpsoft —Ahmedabad, Gujarat
- Full-time
- Azure
- DevOps
- Business development
- Health insurance
- Flexible schedule

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Product Manager

E2M SOLUTIONS PRIVATE LIMITED
Ahmedabad, Gujarat

Apply Now

Job details

Qualifications

Jira
BCS
Azure
Law
Computer Science
System design
Master's degree
SQL
AWS
Analysis skills
Bachelor's degree
Continuous improvement
Confluence
Product management
Scrum
B2B
Software development
Product demos
APIs
Agile
SaaS
AI
Figma
MBA
Communication skills
Information Technology

Full job description

Position: AI Product Manager

Department: AI Division

Experience: 4-8 Years

Location: Onsite (Ahmedabad)

About the Role:

We are seeking an AI Product Manager who can lead the development of GenAI-powered products, internal AI tools, automation platforms, and client-facing AI solutions.

This role is ideal for someone who understands how modern AI products are built using LLMs, agents, automation workflows, APIs, data sources, and secure system design. The person should be able to convert business problems into clear AI product requirements, work closely with engineering teams, and ensure products are practical, secure, scalable, and valuable for end users.

As an AI Product Manager, you will bridge the gap between business needs, client expectations, and technical execution. You will work with AI Engineers, Automation Engineers, Designers, and stakeholders to define product strategy, create clear requirements, manage delivery, and ensure strong product outcomes.

Key Responsibilities:

Product Strategy & Vision

Define and own the product vision, roadmap, and strategic direction for AI-powered products.
Translate business goals into clear AI product initiatives.
Identify business problems, manual workflows, and operational gaps that can be solved using GenAI, automation, and intelligent assistants.
Prioritize product ideas based on business value, feasibility, user impact, security, and scalability.

GenAI Product Development

Work closely with AI Engineers and Automation Engineers to design, build, and launch GenAI-based products.
Define product requirements for AI assistants, workflow automation, document intelligence, chat interfaces, knowledge systems, and agent-based solutions.
Collaborate with technical teams on LLM selection, prompt workflows, RAG-based systems, APIs, integrations, and data flows.
Define success metrics such as accuracy, response quality, latency, reliability, user adoption, cost, and business impact.
Review AI outputs and help define acceptance criteria for quality, safety, and usability.

Security, Governance & Responsible AI

Ensure AI products follow proper security, privacy, and data-handling practices.
Work with teams to define guardrails for sensitive data, client data, access control, and user permissions.
Help evaluate risks related to hallucination, incorrect outputs, data leakage, prompt injection, and misuse of AI systems.
Ensure AI features include proper human review, fallback handling, auditability, and responsible AI principles where required.
Collaborate with engineering teams to design secure workflows for third-party tools, APIs, cloud platforms, and LLM providers.

Technical Product Leadership

Participate in technical discussions with engineering teams and challenge assumptions where needed.
Understand the practical implementation of GenAI products, including prompts, embeddings, vector databases, APIs, integrations, and automation workflows.
Act as the bridge between technical teams, business stakeholders, and clients.
Convert complex technical topics into simple explanations for non-technical stakeholders.

Agile Product Delivery

Own backlog prioritization, sprint planning, roadmap execution, and Agile ceremonies.
Create clear PRDs, user stories, acceptance criteria, release plans, and product documentation.
Ensure timely delivery of features while maintaining product quality, security, and business alignment.
Coordinate with design, development, QA, and client-facing teams to move products from idea to launch.

Stakeholder Management

Work directly with clients, business leaders, and internal teams to gather requirements and define product goals.
Present product updates, roadmap plans, demos, progress reports, and performance insights.
Manage expectations around AI capabilities, limitations, timelines, and risks.
Support discovery calls, requirement workshops, and product demos when needed.

Data-Driven Decision Making

Define KPIs and success metrics for AI products.
Analyze user feedback, product usage, AI response quality, and business outcomes.
Use data and feedback to improve AI workflows, prompts, product experience, and feature prioritization.
Drive continuous improvement after launch.

Required Skills & Qualifications:

Experience

4–8 years of total experience.
2+ years of hands-on AI/ML Engineering or AI Software Development experience.
2+ years of Product Management experience in an Agile environment.
Experience working on AI, GenAI, SaaS, automation, or technology products.
Prior experience working closely with AI/engineering teams is required.

GenAI & Technical Understanding

Strong understanding of:

Generative AI and Large Language Models.
AI agents and workflow automation.
Prompt engineering and prompt evaluation.
RAG-based systems and knowledge bases.
APIs, webhooks, integrations, and data flows.
Vector databases and embeddings at a conceptual/product level.
AI quality evaluation, hallucination control, and human-in-the-loop workflows.
Basic cloud and deployment concepts.
Security, privacy, access control, and data governance for AI products.

Product Management Skills

Strong experience with Agile/Scrum methodologies.
Ability to write detailed PRDs, user stories, acceptance criteria, and product documentation.
Experience managing product roadmaps and end-to-end product lifecycle.
Ability to balance business priorities, technical feasibility, user experience, cost, and security.
Strong problem-solving and prioritization skills.

Communication & Leadership

Excellent stakeholder management and client-facing communication skills.
Ability to explain AI concepts clearly to non-technical users.
Strong analytical thinking and structured decision-making.
Ability to influence cross-functional teams without direct authority.
Comfortable working with engineering, design, QA, leadership, and client teams.

Tools

Jira, Confluence, Figma, Notion, Postman, SQL
ChatGPT / Claude / Gemini or similar GenAI tools
Basic understanding of automation tools such as n8n, Zapier, Make, or similar platforms is a plus

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, or a related field.
MBA or Product Management certification is a plus.

Preferred Qualifications

Experience building or managing GenAI products in production.
Exposure to OpenAI, Anthropic, Gemini, Claude, OpenRouter, or similar LLM ecosystems.
Experience working on AI assistants, automation tools, internal productivity tools, or SaaS platforms.
Understanding of AI governance, responsible AI, security reviews, and data privacy.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience working in B2B, SaaS, agency, or AI-first product environments.
Ability to evaluate AI product risks such as hallucination, data exposure, unreliable outputs, and user trust issues.

Apply Now

Refine Your Search

qa engineer automation jobs in ahmedabad gujarat

Product Manager

Mechanical Design Engineer

Technical Lead – MERN Stack & Cloud

Front-End Developer - UI/UX Developer

Digital Lead – PMO

Senior Manager - Product Development

SSE/TL Fullstack Developer

DevOps Team Lead

Senior Data Engineer (Azure)

Tech Lead- Java

Software Support Team Lead

BDM – Process Instrumentation

Sr. Frontend Developer

Xamarin Developer

QC Inspector – Incoming Inspection

Senior .Net Developer

Business Development Associate

Content Writer

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