Description review
Founding Product Lead – GeneEase
Jouster · Egypt, Turkey · back to the listing
HR standards
41/100
poor
Title ↔ description
72/100
solid
Reads as
Product Manager
100% confident
What this role officially is
ICT product manager — ESCO, the EU occupation classification
ICT product managers analyse and define current and target status for ICT products, services or solutions. They estimate the cost effectiveness, points of risk, opportunities, strengths and weaknesses of products or services provided. ICT product managers create structured plans and establish time scales and milestones, ensuring optimisation of activities and resources.
Also known as: IT product manager, IT products manager, ICT product managers, ICT products manager, ICT products managers
How others title the same work
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Startups
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What the listing never says
- 22 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
The listing, marked up
GeneEase is a new kind of biotech company — using AI and gene therapy to treat health issues that medicine has historically ignored: subtle autoimmune dysfunctions, alcohol intolerance, and other subclinical conditions that don’t show up in standard diagnostics, but affect millions.
We’re starting with a precision diagnostic and personalization platform for gene-based therapies — powered by genomic, lifestyle, and phenotypic data. We're looking for a founder-type Product Leader to help us go from whiteboard to MVP and beyond.
This role is for someone who wants to co-create a biotech company at the frontier of personalized medicine and machine learning — not just ship features.
🚀 What You’ll Drive
• Define the vision for our first diagnostic and personalization tools — from user flow to scientific logic
• Lead early product discovery: validate hypotheses with patients, clinicians, scientists, and data partners
• Partner with engineers and researchers to build our first AI-driven prototypes (diagnostic and personalization engine)
• Translate research into product specs — from gene pathway insights to real-world use cases
• Coordinate with external labs, scientists, and data providers to power our AI models
• Help shape data strategy (privacy, ethics, structure), regulatory direction, and GTM experiments
• Make core decisions on product architecture, direction, and culture from day one
🧠 You Might Be a Fit If You…
• Have 5– 10 years1 of experience in product management, technical founding, or leading early product at startups
• Have built and launched AI-driven or healthcare platforms from zero to one
• Think in systems: patient experience ↔ data pipeline ↔ science ↔ ethics ↔ product
• Know how to turn ambiguity into action — and back it with timelines, specs, and aligned teams
• Can talk to AI engineers, scientists, and users in the same day — and make sense to all of them
• Are excited to build a category-defining company, not just a product roadmap
⭐️ Bonus Points
• Background in biotech, systems biology, genomics, or AI in healthcare
• Experience with healthcare data (genomic, EHR, clinical trial, phenotypic, etc.)
• Previously a founder, first PM, or early team member in a high-ambiguity startup
• Experience collaborating with academic researchers, clinical labs, or regulatory advisors
• Familiarity with IRB, HIPAA, GxP, or AI/ethics frameworks in healthcare
🌱 Why Join GeneEase?
• Co-create the company — not just the product. You’ll have real ownership, influence, and a say in how we grow.
• Mission-first: help patients who are overlooked by traditional diagnostics — but ready to benefit from modern science
• AI + Biology at its best: complex systems, cutting-edge ML, and real health impact
• Remote, async, independent — we value deep work, intellectual honesty, and self-direction
Originally posted on Himalayas
We’re starting with a precision diagnostic and personalization platform for gene-based therapies — powered by genomic, lifestyle, and phenotypic data. We're looking for a founder-type Product Leader to help us go from whiteboard to MVP and beyond.
This role is for someone who wants to co-create a biotech company at the frontier of personalized medicine and machine learning — not just ship features.
🚀 What You’ll Drive
• Define the vision for our first diagnostic and personalization tools — from user flow to scientific logic
• Lead early product discovery: validate hypotheses with patients, clinicians, scientists, and data partners
• Partner with engineers and researchers to build our first AI-driven prototypes (diagnostic and personalization engine)
• Translate research into product specs — from gene pathway insights to real-world use cases
• Coordinate with external labs, scientists, and data providers to power our AI models
• Help shape data strategy (privacy, ethics, structure), regulatory direction, and GTM experiments
• Make core decisions on product architecture, direction, and culture from day one
🧠 You Might Be a Fit If You…
• Have 5– 10 years1 of experience in product management, technical founding, or leading early product at startups
• Have built and launched AI-driven or healthcare platforms from zero to one
• Think in systems: patient experience ↔ data pipeline ↔ science ↔ ethics ↔ product
• Know how to turn ambiguity into action — and back it with timelines, specs, and aligned teams
• Can talk to AI engineers, scientists, and users in the same day — and make sense to all of them
• Are excited to build a category-defining company, not just a product roadmap
⭐️ Bonus Points
• Background in biotech, systems biology, genomics, or AI in healthcare
• Experience with healthcare data (genomic, EHR, clinical trial, phenotypic, etc.)
• Previously a founder, first PM, or early team member in a high-ambiguity startup
• Experience collaborating with academic researchers, clinical labs, or regulatory advisors
• Familiarity with IRB, HIPAA, GxP, or AI/ethics frameworks in healthcare
🌱 Why Join GeneEase?
• Co-create the company — not just the product. You’ll have real ownership, influence, and a say in how we grow.
• Mission-first: help patients who are overlooked by traditional diagnostics — but ready to benefit from modern science
• AI + Biology at its best: complex systems, cutting-edge ML, and real health impact
• Remote, async, independent — we value deep work, intellectual honesty, and self-direction
Originally posted on Himalayas