Product Development Manager — Life Sciences

Job description

About the Role

Deep Knowledge Group is seeking a universal Product Development Manager to turn its Life Sciences, Longevity and human-performance research and intellectual property into practical, testable and commercially usable products.

This is deliberately not structured as a conventional BioTech product-manager role.

The successful candidate may come from Product Management, technology, operations, consulting, entrepreneurship, FinTech, consumer products or another execution-focused environment. What matters is the ability to enter a difficult subject, understand it rapidly, challenge assumptions, structure an MVP and coordinate multiple specialist teams toward deployment.

Product Environment

The role may support products and project families including:

- mLongevity — https://www.longevity.group/modular-longevity

- Dubai Longevity Constellation — https://www.longevity.group/constellation

- Longevity Club — https://www.longevity.group/club

- Longevity Banking Card — https://www.longevity.group/card

- Gulf Longevity Intelligence Group — https://www.longevity.group/glig

- diagnostics and biomarkers intelligence;

- Longevity and HealthTech analytics;

- Longevity Blueprints and LBams/API-AMS;

- breathing, hypoxia and human-performance projects;

- other practical Longevity Medicine products.

Core Mandate

Take ideas, research, protocols, datasets, blueprints and existing technical assets and convert them into:

clear product definition → MVP → validated user/commercial proposition → working deployment → iteration.

Key Responsibilities

- Define product objectives, users, problems, scope and success criteria.

- Translate scientific or technical research into practical product requirements.

- Create product roadmaps, MVP scopes, user journeys and structured implementation plans.

- Separate what is essential for deployment from what can wait.

- Coordinate Data Science, IT, scientific specialists, designers, MarTech, BD and external providers.

- Ensure product-development work progresses even when not every underlying research question is fully resolved.

- Define product features and acceptance criteria.

- Evaluate competitor products and alternative solutions.

- Develop business-model and commercialization hypotheses together with BD.

- Build or improve pricing, packaging and positioning logic.

- Coordinate scientific/technical validation where necessary without allowing validation processes to become an excuse for indefinite non-deployment.

- Identify external technologies, vendors and partners that can accelerate the product.

- Track product readiness, blockers and decisions.

- Conduct practical user, partner or customer validation.

- Manage launch and post-launch iteration.

Candidate Profile

DKG's current Life Sciences hiring direction intentionally prioritizes universal operators and strong project/product managers over default recruitment from conventional medical and biotechnology career tracks.

A medical or BioTech degree is therefore not required.

We are particularly interested in candidates who are personally engaged with areas such as longevity, self-quantification, biohacking, human performance or evidence-based health optimization — including candidates whose careers were built outside conventional medicine.

The important combination is:

open-minded + skeptical + evidence-disciplined + execution-oriented.

The person should be capable of challenging both mainstream assumptions and unsubstantiated longevity hype.

Requirements

- 3+ years in product management, product development, project leadership, operations, entrepreneurship or a comparable execution role.

- Demonstrated history of moving a product or complex project from concept toward deployment.

- Ability to rapidly learn scientific and technical domains.

- Strong analytical and systems thinking.

- Excellent project structuring and prioritization.

- Strong cross-functional coordination.

- Practical AI fluency.

- Excellent English.

- Ability to work independently in ambiguity.

Strong Advantages

- Personal or professional experience with Longevity, quantified self, biohacking, human performance or preventive-health technologies.

- Experience with IHHT/hypoxia, wearable data, diagnostics or consumer health products.

- Digital-health, FinTech, marketplace, real-estate technology or membership-product experience.

- Experience with physical products/facilities as well as software.

- Startup or 0-to-1 product background.

What Success Looks Like

Success is not a longer roadmap.

Success is a sequence of better-defined products, smaller and faster MVPs, real external validation, resolved blockers and products moving into practical use or commercialization.