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Product Manager - SaaS

Tilda Research India

Biotechnology Research · 51-200 employees

Sep 22
product-manager Mid (2-5 yrs) Full-time India
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About the role

You will partner with engineering, design, and clinical teams to define product strategy and ship scalable, AI-driven features. This involves conducting user research, writing detailed product requirements, and managing the product roadmap to improve user efficiency.

What they look for

Product Management Software Engineering SaaS AI Product Strategy Product Discovery User Stories Agile Scrum API Data Analysis SQL Workflow Automation Technical Architecture Requirement Gathering Problem Solving

Requirements

The role requires 3-5 years of product management experience in a SaaS or AI environment and 1-2 years of prior software engineering experience. Candidates must possess strong technical depth, familiarity with the software development lifecycle, and the ability to bridge product goals with machine learning capabilities.

Full description

**Experience: 3-5 years in Product Management, along with 1–2 years prior Software Engineering experience**

We are looking for a "Mid-Level Product Manager" who brings both product thinking and technical depth — someone who started their career as a software engineer and now wants to build meaningful AI-driven products in a high-impact domain.

Role Overview

We are seeking a Product Manager with 3–5 years of experience in a product-based, SaaS, or AI-driven company, and 1–2 years of prior experience as a Software Engineer.

This is a hands-on product role ideal for someone who:

  • Understands how software is built
  • Can translate customer needs into clear product requirements
  • Is comfortable working with engineering teams at a technical level
  • Is excited about AI-enabled workflows and automation
  • Thrives in fast-moving startup environments

You will partner closely with Engineering, Design, and Clinical/Operations stakeholders to ship scalable, intelligent features that improve user efficiency and compliance.

What You’ll Do

Product Discovery & Strategy

  • Partner with leadership to define product priorities and roadmap
  • Conduct user interviews and gather feedback from clinical and operations teams
  • Translate ambiguous problems into clear product opportunities
  • Identify areas where AI and automation can meaningfully improve workflows

Product Execution

  • Write clear, structured Product Requirement Documents (PRDs)
  • Create user stories and acceptance criteria
  • Work closely with engineering during sprint cycles
  • Participate in backlog grooming, sprint planning, and retros
  • Ensure on-time, high-quality feature delivery

Technical Collaboration

  • Engage deeply in architecture discussions
  • Evaluate trade-offs with engineering teams
  • Use your prior engineering experience to anticipate implementation challenges
  • Review APIs, workflows, and system dependencies at a conceptual level

AI & Automation

  • Collaborate on AI-driven feature design (e.g., document classification, metadata extraction, workflow automation)
  • Help define model evaluation metrics and product success criteria
  • Bridge product goals with ML/AI capabilities

Metrics & Optimization

  • Define success metrics (adoption, usage, efficiency gains)
  • Analyze user behavior and iterate based on data
  • Continuously refine the roadmap based on measurable impact

Required Experience

  • 3–5 years of Product Management experience in a product-based, SaaS, or AI company
  • 1–2 years of prior experience as a Software Engineer (first job preferred)
  • Utilization of AI Tools for faster / automated workflows, i.e., ChatGPT, Gemini etc
  • Strong understanding of modern software development lifecycle (Agile/Scrum)
  • Experience writing detailed user stories and working in tools like Jira, Linear, or similar
  • Ability to communicate clearly with both technical and non-technical stakeholders
  • Analytical mindset with strong problem-solving skills

Preferred Qualifications

  • Experience working in AI/ML-enabled products
  • Exposure to healthcare, life sciences, or regulated industries
  • Experience with APIs, backend systems, or cloud-native environments
  • Familiarity with SQL or basic data analysis tools
  • Startup experience

What Makes You a Strong Fit

  • You started as an engineer and think technically
  • You are comfortable challenging assumptions
  • You care about shipping real product, not just writing strategy docs
  • You thrive in environments with ownership and autonomy
  • You’re excited about building AI-driven products with real-world impact

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