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