Product Manager

Blue Data Consulting And It Services·India·Onsite

Product ManagerSaaSAIEnterprise

Experience

3–6 years

Employment

Full Time

Work mode

Onsite

Level

Product Manager

Location

India

Posted

2 days ago

Listed compensation: ₹4L–9L/yr

About the role

Job Description

Job Role: Product Manager

Overview:

As a Product Manager, you will be responsible for defining the product vision, strategy, roadmap, and execution for product. You will work closely with customers, AI engineers, software developers, designers, QA, and business stakeholders to continuously improve the product and deliver exceptional user experiences.

The ideal candidate is someone who enjoys solving customer problems, has strong product thinking, understands AI-powered software products, and can translate business needs into impactful product features.

Key

What you'll do

Own the product vision, roadmap, and long-term strategy for product.
Identify customer pain points and translate them into valuable product solutions.
Prioritize features based on customer impact, business value, and technical feasibility.
Drive end-to-end product lifecycle from ideation to launch and continuous improvement.
Define success metrics and monitor product performance.
Conduct customer interviews and gather product feedback from recruiters, hiring managers, and enterprise clients.
Analyze customer workflows to identify opportunities for automation and improved user experience.
Research industry trends, emerging AI technologies, and competitor products within HRTech and Recruitment Technology.
Validate new feature ideas before development.
Collaborate with AI/ML engineers to improve AI-powered features.
Evaluate AI outputs and identify opportunities to improve prompts, workflows, scoring logic, and overall product quality.
Ensure AI recommendations align with customer expectations and business objectives.

Nice to have

Experience working on AI-powered, SaaS, or B2B software products.
Understanding of Large Language Models (LLMs), Generative AI, and AI-driven applications.
Basic understanding of Prompt Engineering and AI evaluation methodologies.
Familiarity with REST APIs, databases, and software architecture.
Knowledge of analytics platforms such as Mixpanel, Amplitude, Google Analytics, or PostHog.
Familiarity with Jira, Confluence, Figma, Notion, or similar product management tools.
Knowledge of HRTech, Recruitment Technology, ATS, or Talent Intelligence platforms is highly preferred.
Understanding of UX principles, user journey mapping, and design thinking.