About Tilda Research, Inc.
About Tilda
Tilda Research is reimagining how clinical trials are run by bringing AI-native tools and AI teammates into clinical research operations. Our technology works alongside sponsor, CRO, and research teams to simplify study management, improve data quality, support real-time oversight, and help accelerate trial timelines.
We are building the future of clinical trial execution: one where research teams can spend less time on administrative bottlenecks and more time focused on patients, sites, and the work that moves new treatments forward. Tilda’s mission is rooted in the belief that clinical research should be faster, more efficient, more scalable, and more accessible — without losing the human judgment and care that patients and research teams deserve.
At Tilda, we are a team of builders, operators, researchers, and problem-solvers working at the intersection of healthcare, technology, and AI. We move quickly, think deeply, and care about building products and systems that create meaningful impact in the clinical research industry.
**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
