Product Manager (SaaS / Software Products)

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Infosec Ventures

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Azure Mixpanel Amplitude Analytics AWS

Job Description

Role Overview

We are looking for a Product Manager who has worked in SaaS or software product-based companies, understands cloud environments, and actively uses AI tools to improve product decisions and execution.


This role requires someone who can own the product end-to-end, from idea to launch and continuous improvement.


Key Responsibilities
  • Own the product lifecycle: planning, development, launch, and iteration
  • Define product requirements (PRDs) and clear user stories
  • Work closely with engineering, design, and business teams
  • Understand customer needs and translate them into product features
  • Manage and prioritize the product roadmap
  • Track product performance using data and analytics
  • Drive feature releases and improvements based on feedback
  • Ensure smooth coordination between tech and business teams
  • Work with cloud-based systems and understand product architecture basics
  • Use AI tools for research, documentation, analysis, and productivity


Required Skills
  • Experience in SaaS or software product companies (must)
  • Strong understanding of cloud platforms (AWS / GCP / Azure basics)
  • Hands-on usage of AI tools (ChatGPT, Claude, Notion AI, etc.)
  • Ability to write clear PRDs and user stories
  • Strong problem-solving and decision-making skills
  • Good communication and stakeholder management
  • Basic understanding of APIs, integrations, and product workflows
  • Data-driven thinking (metrics, dashboards, user behavior)


Must Have
  • Experience with B2B SaaS products
  • Exposure to analytics tools (Mixpanel, GA, Amplitude)
  • Understanding of Agile/Scrum methodologies


Candidate Profile
  • 2โ€“5 years of relevant product management experience
  • Has worked in fast-paced product environments
  • Self-driven and able to take ownership without constant guidance
  • Comfortable working with ambiguity and solving real problems


Key Outcome Expectations
  • Deliver features on time with clear impact
  • Improve user experience and product adoption
  • Make data-backed product decisions
  • Drive measurable product growth



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