Product Manager - SaaS

**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

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.