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 rapid-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 Check out our Founder: Ram. https://www.linkedin.com/in/ramyala/

📌 Product Manager (India)
🏢 Tilda Research
📍 India