Deep Knowledge Group

About the Role

Deep Knowledge Group is seeking a Business Development Manager — QuantumTech & UltraTech Projects to drive commercial development, strategic partnerships and institutional engagement across Quantum Tech Industry and Ultra Technology Industry Analytics.

Quantum Tech Industry provides advanced quantum technology analytics, benchmarking and forecasting for investors, corporations and governments.

Ultra Technology Industry Analytics focuses on ultra-next-generation technologies and uses AI-driven smart matching to connect companies, investors, scientists, engineers, R&D organizations and strategic collaborators.

The role combines business development, enterprise sales, strategic partnerships and ecosystem development.

Key Responsibilities

• Build commercial pipelines for QuantumTech and UltraTech projects.
• Identify and engage corporations, investors, governments, research institutions and technology companies.
• Conduct targeted outbound prospecting and develop relationships with senior decision-makers.
• Identify enterprise customers, strategic partners, investors and commercialization opportunities.
• Present complex technology and analytical products in clear commercial terms.
• Develop proposals, presentations and partnership materials.
• Manage opportunities from initial contact through negotiation and commercial agreement.
• Develop commercial models including subscriptions, licensing, bespoke analytics, partnerships and sponsorships.
• Identify high-value matches between companies, investors, scientists, engineers and R&D organizations.
• Work with Product Development and MarTech to improve products, positioning and customer acquisition.
• Maintain accurate CRM pipelines, opportunity stages and next actions.
• Provide weekly reporting on pipeline progress, opportunities, blockers and revenue potential.

Requirements

• 4+ years in B2B business development, enterprise sales or strategic partnerships.
• Proven experience generating revenue or closing commercial partnerships.
• Experience with technology, SaaS, analytics, intelligence, research or other complex B2B products.
• Strong outbound prospecting, negotiation and relationship-building skills.
• Ability to quickly understand sophisticated technologies and explain their commercial value.
• Experience managing complete sales or partnership cycles.
• Strong proposal-writing and presentation skills.
• Experience using CRM systems.
• Strong analytical and market research skills.
• Practical experience using AI tools for research and business development.
• Excellent English.

Strong Advantages

• Experience in QuantumTech, DeepTech, AI or advanced technologies.
• Experience with investors, corporations, governments or R&D institutions.
• Experience selling enterprise analytics, market intelligence, subscriptions or licensing.
• Existing network within DeepTech, investment or innovation ecosystems.
• Experience with GCC/UAE, European, UK, US or Asian markets.

What We Will Evaluate

We will place much more weight on evidence of actual commercial execution than on sales terminology.

Strong candidates should be able to explain:

• what they personally sold;
• who bought it and why;
• how they created or entered the opportunity;
• how long the sales cycle took;
• what objections occurred;
• what they personally did to close it;
• and what revenue or commercial value resulted.

About the Role

Deep Knowledge Group (www.dkv.global) is seeking a hands-on Business Development Manager to commercialize its growing portfolio of technology, analytics, intelligence and platform products.

This is a product-revenue role.

Where the Head of Business Development owns the overall commercial architecture, this position is focused on converting specific products into customers, pilots, subscriptions, licensing agreements, distribution relationships and recurring revenue.

DKG's portfolio includes commercial intelligence and analytics platforms, thematic investment dashboards, regional ecosystem platforms, white-label intelligence solutions, institutional analytics, commercial partnership packages and selected products from the wider Longevity.Group ecosystem.

Several of these products are already technically developed or substantially prepared but require stronger market validation, pricing, packaging, customer acquisition and commercial execution.
 

What You Will Own

You will be assigned a defined portfolio of priority commercial products and expected to understand each one sufficiently well to sell it intelligently.

Your responsibilities will include:

• defining the most likely customer segments and decision-makers for each assigned product;
• creating target-account lists based on actual commercial logic rather than generic lead generation;
• approaching and qualifying potential customers;
• explaining complex products clearly and credibly;
• identifying the appropriate commercial model—subscription, enterprise access, licensing, white-label, bespoke analytics, sponsorship or another structure;
• developing proposals and negotiating toward paid engagement;
• maintaining a disciplined product-by-product pipeline.
   

Key Responsibilities

• Develop commercial pipelines for assigned DKG products.
• Research and prioritize companies, institutions, governments, investors and other relevant customers.
• Conduct targeted outbound prospecting and direct relationship development.
• Qualify leads based on genuine need, purchasing capability and product fit.
• Run discovery discussions to determine customer objectives and translate them into appropriate DKG solutions.
• Prepare concise commercial proposals, presentations, one-pagers and follow-up materials.
• Manage opportunities from first contact to paid pilot, subscription, contract or other agreed commercial outcome.
• Work with Product Development to translate customer feedback into product changes, features or packaging.
• Work with MarTech to identify which campaigns and audiences are producing qualified demand.
• Maintain accurate CRM data, opportunity stages, next actions, expected values and probability of closure.
• Test pricing and packaging assumptions in real customer conversations.
• Identify opportunities for cross-selling between DKG products.
• Produce concise weekly reporting focused on pipeline movement, blockers, customer feedback and revenue potential.
   

Product Context

Assignments may include products such as:

• regional and thematic market-intelligence platforms;
• HealthTech and Longevity investment analytics;
• advanced analytical dashboards;
• ecosystem platforms;
• white-label intelligence systems;
• commercial indices and benchmarking products;
• institutional analytics and bespoke intelligence;
• sponsorship and strategic commercial packages;
• selected DKG technology or Longevity.Group products where appropriate.

The portfolio will change as projects mature. The ability to learn a new product quickly is therefore more important than having sold one exact product category before.
 

Requirements

• 4+ years in B2B business development, enterprise sales or commercial product development.
• Demonstrable history of acquiring customers and generating revenue.
• Experience selling software, SaaS, data, analytics, research, intelligence, consulting or another complex B2B product.
• Ability to learn sophisticated products quickly and explain them in simple commercial terms.
• Strong outbound prospecting and relationship-building ability.
• Experience managing a complete sales cycle.
• Strong proposal-writing and presentation skills.
• Experience using CRM systems and maintaining disciplined pipeline data.
• Strong negotiation and follow-up capability.
• Good analytical skills and comfort working with market and company data.
• Practical AI literacy and ability to use modern AI tools to accelerate research, targeting and commercial preparation.
• Excellent English.
   

Strong Advantages

• Experience selling market intelligence, investment intelligence, enterprise data or analytics.
• Experience with FinTech, AI, DeepTech, HealthTech or investment-related customers.
• Experience selling subscriptions, licensing, white-label solutions or custom enterprise products.
• Experience with GCC/UAE, European or Asian markets.
• Existing network among institutional customers, investors, corporations or innovation organizations.
   

What We Will Evaluate

We will place much more weight on evidence of actual commercial execution than on sales terminology.

Strong candidates should be able to explain:

• what they personally sold;
• who bought it and why;
• how they created or entered the opportunity;
• how long the sales cycle took;
• what objections occurred;
• what they personally did to close it;
• and what revenue or commercial value resulted.

About Deep Knowledge Group

Deep Knowledge Group (https://www.dkv.global/) builds large-scale analytical databases, investment-intelligence systems, industry ecosystem platforms, competitiveness indices and interactive dashboards across frontier industries including AI, Longevity, HealthTech, DeepTech and QuantumTech.

The Data Science department builds and maintains the industry intelligence databases behind those products — organisations, people, products and the relationships between them, across multiple sectors and regions. Every one of them starts as messy public data and has to end up as a clean, deduplicated, verifiable dataset that analysts and downstream products can rely on.
 

About the Role

We currently build each database the way the last one was built. Collectors are source-specific scripts, scheduling is manual, quality is whatever the person who built it checked, and nothing links one database to another. That works at our current size and will not work at the next one.

We are looking for a Senior Data Engineer to own the shared platform that replaces this: one collection and enrichment framework that every database runs on, with orchestration, monitoring, provenance and entity resolution as properties of the system rather than as things individual engineers remember to do.

This is an ownership role. You will work directly with the Head of Data Science on architecture, and you will be the person other engineers bring design decisions to. We are not looking for an extra pair of hands; we are looking for a second point of technical decision-making in the department.
 

Key Responsibilities

• Design and own the shared collection and enrichment framework: what is reusable, what stays source-specific, and where the line between them sits.
• Own orchestration end to end — scheduling, dependencies, retries, backfills, incremental and idempotent re-runs.
• Make entity resolution a permanent service rather than a per-project effort: blocking, matching, thresholds, and a defensible account of why a merge was made.
• Design the provenance model: every value traceable to its source, its retrieval date and the logic that transformed it, six months after the fact.
• Establish the staging-and-promotion rule and enforce it: nothing writes to production tables directly.
• Build monitoring and observability for data, not only for jobs — freshness, coverage, null rates, distribution drift, source schema changes.
• Define the quality standard: accuracy, completeness, duplicate rate, freshness, provenance — and the instrument that measures it.
• Set the schemas, conventions and review standards that the rest of the department works to.
• Design the deterministic backbone of our agent network, and decide where an agent is warranted and where plain code is cheaper, faster and testable.
• Migrate existing databases onto the shared framework alongside the engineers who built them.
• Mentor and unblock other engineers; take architectural decisions off the Head of Department's desk.
   

Required Skills

• Strong Python — you write services and pipelines, not notebooks.
• You have owned a data platform, not just tasks on one — orchestration, scheduling, monitoring, backfills.
• Airflow, Dagster or Prefect in production, with a considered view on why that one.
• SQL and PostgreSQL in depth — indexing, query plans, schema design, migrations.
• Entity resolution or record linkage across sources that disagree with each other, including how you measured whether it worked.
• You have set the standards other people then worked to: schemas, conventions, review.
• Docker, CI/CD, and comfort running production systems on plain infrastructure rather than a managed platform.
• Practical experience with LLM APIs and with validating non-deterministic output before it reaches a production table.
• Data quality discipline: you can state a dataset's duplicate rate or field staleness with evidence, not by inspection.
• The ability to write a design down clearly enough that someone can argue with it.
   

Strong Advantages

• Production collection from public web sources: anti-bot, JS-rendered pages, undocumented APIs, source drift.
• Knowledge graphs, ontologies and canonical entity models across multiple domains.
• Data lineage and governance tooling in production, used by people other than its author.
• Agent orchestration frameworks, and a clear view of their limits.
• Vector search and RAG pipelines.
• Experience turning a team's ad-hoc scripts into a framework that team then adopted.
• OSINT methodology and source verification.
   

What We Will Evaluate

Two things, mostly.

You question your own data. The engineers who work out well here are the ones who notice that a source silently changed its schema, that a 97% match rate is hiding a systematic bias, that a field is populated but wrong. Volume without verification is worth nothing to us.

You explain your reasoning. Much of this work involves judgment calls that nobody can check quickly — which record wins a merge, what confidence threshold to use, when to stop enriching. We need those decisions written down and defensible, not buried in a script.

The hiring process is an intro call, a short practical task on real data, a technical review of your solution, and an offer. We evaluate the task on judgment, not polish: reproducibility, honest handling of edge cases, and clear reasoning about what you chose not to do count for more than a clever one-liner.

About the Role

We are looking for a Product Development Specialist in IT to lead the development of digital products, software platforms, dashboards, internal systems, mobile apps, AI tools, automation workflows, and data-driven technology products.

The ideal candidate should be able to translate business ideas into clear technical requirements, product roadmaps, user stories, MVP specifications, wireframes, delivery plans, and documentation for developers, designers, QA, DevOps, cybersecurity, and business teams.

This role is ideal for someone who understands both product strategy and technical execution.

Key Responsibilities

1. Develop and manage IT product concepts from idea to MVP and launch.
2. Translate business needs into product requirements, technical specifications, user stories, and development tasks.
3. Create product roadmaps, MVP scopes, feature lists, acceptance criteria, and release plans.
4. Work with developers, UI/UX designers, QA testers, DevOps, cybersecurity specialists, AI specialists, and data teams.
5. Manage product backlogs and prioritize features based on business value, technical complexity, user needs, and delivery timelines.
6. Prepare product requirement documents, technical briefs, workflow diagrams, wireframes, user journeys, and implementation plans.
7. Support development of web platforms, mobile apps, dashboards, client portals, admin panels, databases, AI tools, automation systems, and SaaS products.
8. Coordinate API integrations, third-party tools, CRM systems, analytics tools, payment systems, data sources, and AI platforms.
9. Ensure products are scalable, secure, user-friendly, and aligned with company goals.
10. Test product features, review QA results, validate user flows, and approve releases.
11. Track product performance, user feedback, bugs, and improvement requests.
12. Maintain clear documentation for product architecture, user flows, features, dependencies, and release history.

Product Areas

This role may support products such as:

1. Analytics dashboards
2. AI-powered research platforms
3. Mobile apps
4. Web platforms
5. Investment intelligence systems
6. Longevity and HealthTech products
7. Fintech and banking card products
8. CRM and internal workflow systems
9. Data platforms and databases
10. Automation tools
11. Client portals
12. Partner ecosystem platforms
13. Admin panels and reporting systems

Required Skills & Experience

1. Experience in IT product development, product management, technical product ownership, software delivery, or business analysis.
2. Strong understanding of software development processes and digital product lifecycle.
3. Ability to write clear product requirements, user stories, acceptance criteria, and technical documentation.
4. Experience working with developers, designers, QA teams, DevOps, and business stakeholders.
5. Understanding of APIs, databases, dashboards, cloud systems, integrations, user authentication, and basic software architecture.
6. Experience with Agile, Scrum, Kanban, sprint planning, backlog management, and release coordination.
7. Ability to create MVP plans, roadmaps, product specifications, and feature prioritization frameworks.
8. Experience with tools such as Jira, Trello, Asana, ClickUp, Notion, Confluence, Figma, Miro, GitHub, Google Workspace, Airtable, or similar.
9. Strong analytical thinking and problem-solving skills.
10. Excellent communication and documentation skills.
11. Ability to manage multiple IT products or development streams simultaneously.

Nice to Have

1. Experience with AI products, data platforms, dashboards, analytics products, fintech, HealthTech, longevity, SaaS, or investment intelligence platforms.
2. Experience with mobile app development projects.
3. Experience with cybersecurity, GDPR, data privacy, user permissions, role-based access, and secure product design.
4. Experience with no-code/low-code tools, automation platforms, APIs, Zapier, Make, n8n, or Airtable.
5. Understanding of cloud platforms such as AWS, Google Cloud, Azure, Firebase, or Supabase.
6. Experience preparing technical documentation for developers and business documentation for management or investors.
7. Experience managing remote development teams.
8. Basic understanding of SQL, Python, JavaScript, or technical architecture is a plus.

About the Role

We are looking for a skilled and practical Cybersecurity Specialist to protect our company's digital infrastructure, internal systems, data assets, cloud tools, websites, email accounts, and operational workflows.

The ideal candidate should be able to assess risks, identify vulnerabilities, secure accounts and systems, improve access controls, monitor threats, support compliance, and create clear cybersecurity processes for a growing analytics and technology-driven organization.
 

Key Responsibilities

• Assess the company's cybersecurity risks across internal systems, websites, cloud platforms, email, file storage, databases, and third-party tools.
• Implement and manage security best practices for Google Workspace, Microsoft 365, cloud services, websites, CRM systems, databases, automation tools, and internal dashboards.
• Set up and maintain strong access control, role-based permissions, password policies, MFA, account recovery procedures, and offboarding processes.
• Conduct vulnerability assessments, security audits, and risk reviews.
• Monitor potential threats, suspicious activity, unauthorized access attempts, phishing risks, malware, and data exposure.
• Support website, application, and infrastructure security, including SSL, DNS security, firewall settings, backups, and server hardening.
• Review and improve security for AI tools, automation workflows, API connections, shared documents, and data pipelines.
• Create cybersecurity policies, incident response procedures, security checklists, and internal documentation.
• Train team members on cybersecurity basics, phishing prevention, password security, data handling, and secure use of AI tools.
• Investigate security incidents and prepare remediation plans.
• Coordinate with IT, development, operations, legal, compliance, and management teams.
• Support compliance with relevant standards such as GDPR, ISO 27001, SOC 2, NIST, CIS Controls, or other applicable frameworks.
   

Required Skills & Experience

• Experience in cybersecurity, information security, IT security, cloud security, security operations, or similar role.
• Experience with Microsoft Azure cloud security is required (e.g., Azure AD/Entra ID, Azure Security Center, role-based access control, network security groups, Azure compliance tools).
• Strong understanding of cybersecurity fundamentals, including access control, MFA, phishing prevention, endpoint security, network security, vulnerability management, and incident response.
• Experience securing business systems such as Google Workspace, Microsoft 365, Slack, Notion, Airtable, CRM platforms, cloud storage, and collaboration tools.
• Knowledge of website and application security, including OWASP risks, SSL/TLS, DNS, firewalls, backups, and secure configuration.
• Experience with vulnerability scanning, risk assessment, security audits, and remediation planning.
• Ability to review user permissions, shared drives, admin access, API keys, integrations, and third-party apps.
• Understanding of data protection, privacy, and secure handling of confidential business information.
• Ability to write clear security documentation, policies, checklists, and incident reports.
• Strong attention to detail and ability to work independently.
   

Nice to Have

• Experience with ISO 27001, SOC 2, GDPR, NIST, CIS Controls, or other security/compliance frameworks.
• Experience with endpoint detection and response tools, SIEM platforms, VPNs, firewalls, password managers, MDM tools, and cloud security platforms.
• Experience with AWS, Google Cloud, Cloudflare, GitHub, Docker, databases, APIs, and automation platforms.
• Experience with penetration testing, red-team/blue-team exercises, phishing simulations, or social engineering defense.
• Experience securing AI workflows, LLM tools, automation systems, data pipelines, and research platforms.
• Relevant certifications such as Security+, CySA+, CISSP, CISM, CEH, OSCP, ISO 27001 Lead Implementer, Azure Security Engineer Associate (AZ-500), or similar.
• Experience with remote teams and international organizations.
   

Ideal Candidate Profile

The ideal candidate is practical, proactive, and security-minded without being overly bureaucratic. They can quickly identify the biggest risks, prioritize fixes, and implement realistic cybersecurity improvements.

They should be able to protect sensitive data, secure internal operations, educate the team, and build a strong cybersecurity foundation for a company working with analytics, research, AI tools, financial information, and strategic business intelligence.

About the Role

Deep Knowledge Group is seeking a Product Development Manager to transform Gulf Longevity Intelligence Group from a collection of data, content and relationships into a coherent portfolio of usable intelligence products.

GLIG is intended to combine Gulf-focused ecosystem intelligence, databases, stakeholder mapping, recurring publications, rankings, analytics and commercial/institutional products.

The Product Development Manager will own the path from concept to usable product to commercial or institutional adoption.
 

Key Responsibilities

• Define the architecture and roadmap of GLIG's product portfolio.
• Structure the GLIG intelligence platform and its major user journeys.
• Translate research databases and analytical capabilities into practical user-facing products.
• Develop product requirements for dashboards, databases, rankings, trackers and intelligence tools.
• Productize recurring publications and flagship analytical outputs.
• Develop subscription and membership propositions.
• Support commercialization of Gulf HealthTech and Longevity analytics.
• Define institutional use cases for governments, investors, corporations, healthcare organizations and innovation ecosystems.
• Coordinate CRM/relationship-intelligence requirements with the wider GLIG operating model.
• Work with Data Science and IT on product development.
• Work with Chief Editor on integration between editorial and analytical products.
• Work with BD and Partnerships on external validation and commercialization.
• Develop MVPs and test them with real prospective users.
• Define pricing, packaging and access tiers together with commercial teams.
• Maintain product roadmap, priorities, dependencies and release criteria.
• Use data on actual usage and external feedback to determine what should be developed next.
   

Candidate Profile

The strongest candidate is not somebody who only writes requirements documents.

We are looking for an operator who can look at a large strategic concept, identify what people will actually use or buy, reduce it to a practical first version and coordinate the work necessary to get it live.
 

Requirements

• 4+ years in Product Management, product development, strategy/innovation or comparable work.
• Professional English and Arabic.
• Experience developing digital, data, media or intelligence products.
• Strong understanding of product requirements, user journeys, MVPs and roadmaps.
• Strong commercial and analytical judgment.
• Experience working with technical and non-technical teams.
• Ability to work across data, content, BD and external stakeholders.
• Strong project ownership and delivery discipline.
• Practical AI literacy.
   

Strong Advantages

• Gulf/GCC product experience.
• Market-intelligence or information-product background.
• HealthTech, investment, finance or innovation-ecosystem experience.
• Subscription or membership-product experience.
• Experience with government or institutional users.
   

What Success Looks Like

GLIG should have an increasingly clear and usable portfolio of products, not an indefinitely expanding collection of concepts and internal materials.

About the Role

The Gulf Longevity Intelligence Group is being developed as a specialized Gulf-focused intelligence, media and stakeholder platform around Longevity, HealthTech, healthcare innovation, investment and ecosystem development.

Deep Knowledge Group is seeking a bilingual Chief Editor to turn GLIG's underlying analytics, databases, expert network and strategic activity into a continuous stream of authoritative Gulf-focused intelligence and media outputs.

This is substantially more than a content-marketing role.
 

Core Mandate

Make GLIG a source that senior regional stakeholders actually watch.

The editorial programme should connect:

data + research + expert insight + regional developments + rankings + interviews + strategic commentary + media distribution.
 

Key Responsibilities

• Own the English- and Arabic-language editorial agenda.
• Establish a dependable weekly publication cadence.
• Develop recurring intelligence publications, rankings, trackers and thematic features.
• Lead editorial development around the Gulf Longevity and HealthTech ecosystem.
• Coordinate the planned Gulf Longevity Competitiveness and related flagship intelligence outputs.
• Convert GLIG datasets and analytical findings into readable, authoritative publications.
• Identify important regional developments before they become generic international stories.
• Commission and conduct interviews with investors, executives, healthcare leaders, scientists, government stakeholders and ecosystem builders.
• Build a contributor and expert network across the Gulf.
• Develop newsletters, articles, executive briefs, interviews and other editorial formats.
• Coordinate with analysts so editorial claims remain supported by underlying data.
• Coordinate with MarTech and media outreach to maximize reach among relevant audiences.
• Maintain publication calendars and editorial workflows.
• Protect GLIG from exaggerated health claims or weak sourcing.
• Use AI for research, monitoring and drafting support while maintaining rigorous editorial review.

The current GLIG operating plan envisages recurring publications, rankings and trackers, government/industry/capital engagement, media and press activity and eventual subscription/membership infrastructure.
 

Requirements

• 5+ years in journalism, editorial leadership, research publications, intelligence media or comparable work.
• Excellent professional English and Arabic.
• Strong editorial judgment.
• Ability to turn technical, scientific, financial and policy material into clear executive communication.
• Strong research and fact-checking discipline.
• Experience coordinating contributors and external experts.
• Strong understanding of Gulf news, institutions and business environment.
• Ability to run a recurring editorial operation independently.
   

Strong Advantages

• Gulf healthcare, investment, technology or policy journalism.
• Existing GCC media and stakeholder network.
• Experience with rankings, indices or data journalism.
• Longevity, HealthTech or DeepTech exposure.
• Experience building a publication or media product rather than only writing individual articles.
   

What Success Looks Like

GLIG should become progressively more authoritative, timely and difficult to ignore within the Gulf Longevity ecosystem, with a regular output cadence and growing engagement from the institutions and people that matter.

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.

About the Role

Deep Knowledge Group is seeking a Business Development Manager focused specifically on commercializing the growing portfolio of practical Life Sciences and Longevity products developed through Longevity.Group.

This is not a conventional pharmaceutical or BioTech sales position.

The portfolio combines physical, digital, analytical and commercial products: Longevity Club and Banking Card, Gulf and regional HealthTech intelligence, diagnostics and biomarker intelligence, mLongevity, the Dubai Longevity Constellation, Longevity Blueprints, LBams/API-AMS and other practical longevity and human-performance projects.

Relevant examples:

• Longevity Club: https://www.longevity.group/club
• Longevity Banking Card: https://www.longevity.group/card
• Gulf Longevity Intelligence Group: https://www.longevity.group/glig
• mLongevity: https://www.longevity.group/modular-longevity
• Dubai Longevity Constellation: https://www.longevity.group/constellation

The role is to convert selected parts of this portfolio into customers, paid pilots, commercial partners, licensing agreements, subscriptions, white-label relationships and other measurable commercial outcomes.

Key Responsibilities

• Build product-specific commercial pipelines across assigned Life Sciences/Longevity products.
• Identify the customers, decision-makers and partners with the highest probability of genuine demand.
• Develop clear commercial propositions around technically complex products.
• Approach corporations, investors, healthcare and wellness operators, clinics, developers, governments, financial institutions and other relevant counterparties.
• Lead discovery conversations and understand the operational/commercial problem the counterparty is trying to solve.
• Develop paid pilot, subscription, licensing, white-label, distribution or partnership structures.
• Prepare concise proposals, presentations and commercial follow-ups.
• Work with Product Development to improve products based on real customer feedback.
• Work with MarTech to create campaigns around specific commercial hypotheses.
• Maintain disciplined CRM and opportunity tracking.
• Identify cross-selling opportunities across the Longevity.Group ecosystem.
• Help distinguish products with near-term commercial potential from concepts that require further development.
• Support international commercialization, particularly in strategic markets such as the GCC.
   

Candidate Profile

A conventional BioTech or medical career is not required and is not automatically preferred.

We are primarily looking for a commercially strong, intellectually agile operator who can learn sophisticated Life Sciences and Longevity products rapidly without becoming constrained by established industry assumptions.

Candidates with direct experience in Longevity, HealthTech, quantified self, biohacking, human performance, IHHT/hypoxic training or adjacent practical-health ecosystems are particularly interesting where that experience is combined with real commercial execution.
 

Requirements

• 4+ years of B2B Business Development, partnerships, enterprise sales or commercialization experience.
• Demonstrable history of creating pipeline and closing real commercial opportunities.
• Ability to learn technically complex products quickly.
• Strong relationship-building and negotiation skills.
• Ability to create a commercial proposition rather than simply repeat marketing materials.
• Experience with CRM and full sales-cycle management.
• Strong written proposals and presentation skills.
• Strong practical AI literacy.
• Excellent English.
• High degree of autonomy.
   

Strong Advantages

• Longevity, HealthTech, wellness, human-performance or biohacking industry exposure.
• Experience with subscriptions, licensing, marketplaces, white-label or platform products.
• GCC/UAE network.
• Experience selling to clinics, corporate wellness programmes, investors, governments or HNW-focused services.
• Exposure to FinTech or consumer membership products.
   

What Success Looks Like

Within the first months the role should produce qualified conversations and concrete commercial outcomes against named products, not only a generic Life Sciences contact database.

About the Role

Deep Knowledge Group is seeking a Business Intelligence Analyst to convert operational, commercial and project data into clear management intelligence.

This role is distinct from Market Intelligence.

The Market Intelligence Analyst primarily examines external markets and competitors. The Business Intelligence Analyst primarily asks:

What is happening inside our projects, products and commercial pipelines, why is it happening, and what should management do next?
 

Key Responsibilities

• Build structured reporting around business and project KPIs.
• Analyze revenue, commercial pipeline, conversion, project progress, product usage, costs and operational performance.
• Consolidate information from CRM systems, project trackers, spreadsheets, dashboards and other internal sources.
• Develop management dashboards and recurring executive reporting.
• Identify performance trends, bottlenecks, anomalies and underperforming areas.
• Build simple business cases, financial scenarios and commercial models.
• Analyze funnel performance across marketing, Business Development and partnerships.
• Track product or project performance against plans, milestones and expected outcomes.
• Support management with scenario analysis and decision-ready comparisons.
• Develop forecasts where the underlying data supports them.
• Improve definitions and consistency of business KPIs across teams.
• Coordinate with Data Science where more sophisticated analytical models are required.
• Use external research where necessary to benchmark internal performance.
• Automate recurring data collection and reporting where practical.
• Use AI tools for synthesis, analysis and workflow acceleration while maintaining control over underlying data and calculations.
• Present conclusions succinctly to senior management.
   

Requirements

• 2+ years in Business Intelligence, analytics, strategy, finance, operations analytics or a comparable role.
• Advanced Excel and/or Google Sheets capability.
• Experience building dashboards and management reporting.
• Ability to work with data from multiple imperfect sources.
• Strong analytical reasoning and ability to identify the business implication behind a number.
• Understanding of business KPIs, commercial funnels and operating metrics.
• Strong written and spoken English.
• High attention to detail.
• Ability to work independently and challenge inconsistent data.
   

Strong Advantages

• SQL experience.
• Power BI, Tableau, Looker or similar BI experience.
• Python or other analytical-programming experience.
• Experience with CRM and sales-pipeline data.
• Experience in technology, investment, SaaS, professional services or multi-project environments.
• Financial-modelling or econometrics background.
   

What Success Looks Like

Management should not need to spend hours reconstructing what is happening from separate spreadsheets and messages.

The Business Intelligence Analyst should make the current state, major changes, risks, bottlenecks and decision points visible quickly and reliably.

About the Role

Deep Knowledge Group is seeking Market Intelligence Analysts to research complex technology and innovation markets and translate fragmented external information into clear, decision-ready intelligence.

DKG is a data-driven consortium active across DeepTech and Frontier Technologies, including AI, Longevity, BioTech, FinTech, GovTech, SpaceTech and other advanced industries. Its analytical work supports market intelligence, investment analysis, product development, business development and strategic decision-making.

This role focuses specifically on what is happening outside the organization: markets, competitors, companies, investors, customers, technologies, geographies and emerging opportunities.
 

Key Responsibilities

• Define and structure markets, sectors and analytical categories.
• Conduct market sizing, segmentation and growth analysis.
• Identify major companies, investors, products, technologies and ecosystem participants.
• Conduct competitor benchmarking and comparative analysis.
• Analyze business models, pricing, positioning and market-entry strategies.
• Track market developments, funding, M&A, partnerships, product launches and regulatory or technological changes.
• Build and maintain structured company, investor and ecosystem databases.
• Use OSINT methods to identify and validate relevant information from public sources.
• Analyze specific target companies or accounts for strategic and commercial purposes.
• Identify market gaps, underserved segments and emerging commercial opportunities.
• Produce concise market-intelligence reports, executive summaries, dashboards and presentations.
• Support Product Development with evidence on customer needs and competitive positioning.
• Support Business Development and MarTech with target-segment and account intelligence.
• Maintain transparent source tracking for important facts, figures and assumptions.
• Use AI tools to accelerate research, classification, comparison and synthesis while independently checking important conclusions.
   

Requirements

• 2+ years of experience in market intelligence, competitive intelligence, consulting, research, investment analysis or a comparable analytical function.
• Strong desk-research and OSINT capability.
• Strong analytical and critical-thinking skills.
• Experience working with structured datasets and spreadsheets.
• Ability to distinguish meaningful market signals from promotional noise.
• Ability to present complex information clearly and concisely.
• Strong English writing and presentation skills.
• High level of accuracy and source discipline.
• Ability to rapidly learn unfamiliar technology sectors.
   

Strong Advantages

• Experience with technology, investment, AI, DeepTech, FinTech, HealthTech or comparable innovation markets.
• Experience producing industry databases or ecosystem maps.
• Familiarity with SQL, Python, BI tools or advanced spreadsheet analysis.
• Experience with investor/company databases.
• Experience building market sizing or forecasting models.
   

What Success Looks Like

A strong Market Intelligence Analyst should be able to enter an unfamiliar market and rapidly create a reliable picture of: what the market is, who matters, where value is concentrated, what is changing, where DKG or its counterparties could have an advantage, and what evidence supports that conclusion.

About the Role

Deep Knowledge Group is seeking a Head of Scientific Publications to build and operate a repeatable system for producing high-quality scientific and strategic publications across DKG's research agenda.

This is not simply a scientific-writing or copy-editing position.

The successful candidate will manage the full publication lifecycle: selecting and structuring topics, coordinating evidence and literature, identifying and engaging external co-authors, managing multi-author inputs, maintaining scientific and reference discipline, preparing manuscripts for submission, coordinating peer review and ensuring that each publication moves from initial concept to completed external output.

DKG works across areas including Longevity, Life Sciences, Space Medicine, human performance, AI and data-driven science. The role therefore requires strong scientific literacy, but not necessarily narrow specialization in one field.
 

Core Mandate

Build a functioning Scientific Publication Engine that can repeatedly transform DKG research, datasets and scientific initiatives into credible peer-reviewed publications and related high-quality outputs.
 

Key Responsibilities

• Maintain a prioritized pipeline and calendar of scientific papers and publication opportunities.
• Convert approved research themes into clear article theses, outlines, evidence requirements, figure plans and publication roadmaps.
• Identify suitable journals and publication routes based on scope, scientific relevance, audience and credibility.
• Build and manage target lists of external scientists and subject-matter experts for multi-author papers.
• Prepare concise co-author briefing materials and personalized outreach.
• Coordinate contributions from internal and external authors without allowing the manuscript to fragment into inconsistent sections.
• Manage literature review, references, figures, tables, scientific claims and supporting source materials.
• Coordinate manuscript drafting, revision, author approval and final consistency checks.
• Manage author affiliations, contribution statements, conflicts of interest, ethics documentation and other submission requirements.
• Prepare journal submissions, cover letters and supporting documentation.
• Coordinate responses to reviewers and revision rounds.
• Maintain rigorous authorship and publication-integrity standards.
• Identify selected publication topics that can also support longer strategic or stakeholder-facing reports while clearly separating scientific content from commercial messaging.
• Build reusable templates, trackers, checklists and workflows so publication management becomes a repeatable institutional capability.
   

Candidate Profile

We are looking for somebody who combines the discipline of a scientific editor with the execution ability of a strong project manager.

The candidate does not need to be the world's leading technical specialist in every subject. They do need to understand sophisticated scientific material sufficiently well to identify weak claims, ask intelligent questions, coordinate experts and know when specialist review is required.
 

Requirements

• 4+ years of experience in scientific publishing, academic editorial work, research programme coordination, scientific communications or comparable work.
• Direct experience with academic manuscripts and journal submission processes.
• Demonstrated experience coordinating multiple authors or contributors.
• Strong understanding of scientific referencing and evidence standards.
• Ability to read biomedical, Life Sciences or other technical literature critically.
• Excellent English writing and editing.
• Strong project-management skills and ability to maintain multiple publication streams simultaneously.
• Strong source-management and version-control discipline.
• Ability to communicate professionally with senior scientists and external experts.
• Practical use of AI for literature organization, source mapping, editorial workflow or drafting support, combined with rigorous human verification.
   

Strong Advantages

• Experience with Longevity, Space Medicine, radiation biology, human performance, preventive medicine, AI in science or related areas.
• Experience recruiting external co-authors.
• Experience managing revisions after peer review.
• Experience with grants, institutional research language or policy-facing scientific materials.
• Existing scientific or academic network.
   

First 90-Day Outcomes

The person should establish a live publication pipeline, functioning author/co-author tracking, repeatable submission and quality-control workflows, and materially advance priority manuscripts toward submission.

Success is measured by completed scientific outputs and functioning publication infrastructure, not by the volume of internal documentation produced.

About the Role

Deep Knowledge Group (www.dkv.global) is seeking a Social Media & Demand Generation Specialist to build high-quality visibility and qualified engagement around DKG, its leadership and its portfolio of projects.

The role is LinkedIn-first, reflecting the concentration of DKG's institutional, technology, investment and partnership audiences there, but may expand into X and other channels where they produce real value.

This is not a conventional social-media/community-management position.

You will work with complex topics spanning AI, DeepTech, Longevity, HealthTech, FinTech, investment analytics and advanced technologies. The objective is not simply to increase posting frequency. It is to make DKG consistently visible to the right people, create intelligent engagement around its work and convert that attention into relevant traffic, relationships, leads, event participation, partnership interest and recruitment interest.
 

Key Responsibilities

• Develop and execute a LinkedIn-first social strategy aligned with DKG's commercial and strategic priorities.
• Manage content and targeted engagement for DKG corporate channels and selected senior-management profiles.
• Write original posts, commentary, reposts and executive thought-leadership content in a credible and appropriate voice.
• Translate sophisticated technical, scientific, analytical and commercial materials into concise social content without distorting or oversimplifying them.
• Research relevant conversations, companies, decision-makers, investors, institutions and experts.
• Build DKG management networks through selective, high-value connection and engagement strategies.
• Engage intelligently with relevant external posts and conversations to increase visibility among target audiences.
• Support major DKG launches, reports, indices, events, product releases, recruitment campaigns and partnership initiatives.
• Create campaign-specific social content around commercial products and priority initiatives.
• Work with MarTech and Business Development to connect social engagement with landing pages, lead capture and CRM.
• Track which content and engagements produce meaningful traffic, conversations and leads.
• Test formats, messages, hooks and posting patterns and optimize based on results.
• Maintain editorial and campaign calendars without allowing process to slow reactive opportunities.
• Use AI tools to accelerate research, drafting, repurposing and analysis while preserving factual accuracy and authentic executive voice.
• Maintain high standards of accuracy when communicating scientific, financial or technical subjects.
   

What We Are Looking For

The strongest candidate combines excellent English writing with commercial instinct.

They should be capable of reading a technical DKG document, understanding why it matters, identifying which part is interesting to a specific external audience and turning that into a concise piece of content that somebody intelligent would actually want to read.

We do not want social activity for its own sake.

A smaller number of interactions with the right investors, executives, institutional decision-makers, scientists, entrepreneurs or partners is more valuable than large volumes of low-quality engagement.
 

Requirements

• 3+ years in B2B social media, content marketing, demand generation, executive communications or related work.
• Excellent English copywriting and editing skills.
• Demonstrated experience growing LinkedIn visibility and engagement for companies or senior executives.
• Strong understanding of LinkedIn distribution, content formats and professional audience behaviour.
• Strong research skills and ability to rapidly understand unfamiliar technical subjects.
• Ability to write naturally in several different executive or corporate voices.
• Ability to distinguish meaningful engagement from vanity metrics.
• Experience using social analytics and performance data.
• Ability to work independently and maintain a demanding publishing cadence.
• Practical familiarity with AI-assisted research and content workflows.
   

Strong Advantages

• Experience with technology, AI, finance, investment, healthcare, Longevity or DeepTech.
• Experience with executive ghostwriting.
• Experience generating B2B leads from content and social engagement.
• Experience supporting product launches, reports, conferences or high-profile announcements.
• Familiarity with X and other specialist technology/investment communities.
• Experience coordinating social campaigns with CRM, email and landing-page funnels.
   

Success Metrics

Success will be judged primarily on:

• growth of the relevant audience rather than follower count alone;
• engagement from target organizations and decision-makers;
• quality and consistency of DKG's executive and corporate voice;
• qualified traffic generated to DKG platforms;
• leads, conversations, registrations and introductions attributable to social activity;
• performance of priority launches and campaigns;
• and the ability to make DKG's complex portfolio intelligible and compelling without reducing it to generic promotional language.

About the Role

Deep Knowledge Group is (www.dkv.global) seeking a Head of MarTech & Marketing to build a data-driven commercial marketing engine across a complex portfolio of technology, analytics, Longevity and DeepTech initiatives.

This is not primarily a brand-management or corporate-communications position.

DKG already produces large volumes of intellectual property, analytical content, databases, dashboards, reports, indices, websites, product materials and strategic initiatives. The challenge is to turn those assets into systematic visibility, qualified audiences, product demand, commercial leads and measurable conversion.

The successful candidate must therefore combine marketing strategy, marketing technology, demand generation, digital infrastructure, analytics and hands-on execution.
 

The Core Problem to Solve

DKG operates across many specialized projects and audiences.

A campaign may be targeting institutional buyers for an investment-intelligence platform, partners for a UAE ecosystem product, users for Longevity Club, a financial partner for the Longevity Banking Card, decision-makers for a white-label analytics solution, or stakeholders around a major index or industry launch.

The Head of MarTech must create an infrastructure that makes these campaigns repeatable rather than reinvented each time.

The ideal operating model is:

Audience & data → segmentation → message → content/assets → distribution → landing page → CRM → nurture → qualified lead → commercial conversion → measurement → optimization

Key Responsibilities

MarTech Infrastructure

• Design and operate DKG's end-to-end marketing technology stack.
• Own CRM architecture from a marketing and lead-generation perspective.
• Build reliable lead capture from websites, landing pages, forms, events and campaigns.
• Improve contact segmentation, enrichment, tagging and audience profiling.
• Implement email automation, nurture sequences and lifecycle workflows.
• Build attribution and analytics sufficient to understand what actually creates valuable leads.
• Integrate websites, CRM, email systems, analytics, social channels and campaign tools.
• Work with IT on technical implementation without turning marketing into an IT-dependent process.
• Use AI and automation aggressively where they materially improve speed, personalization and quality.
   

Demand Generation

• Develop product-specific demand-generation strategies across DKG's commercial portfolio.
• Convert existing databases and audiences into intelligently segmented outreach rather than indiscriminate mass messaging.
• Design multi-channel campaigns spanning email, social, landing pages, content, events, partnerships, SEO and selective paid promotion.
• Develop acquisition and nurture funnels appropriate to very different audiences, from enterprise executives to investors, partners and individual longevity consumers.
• Continuously test messaging, offers, CTAs, pages and distribution channels.
   

Product Marketing

• Work with Product Development and Business Development to understand each priority product deeply enough to position it credibly.
• Convert sophisticated technical and analytical products into clear value propositions.
• Develop messaging frameworks, customer personas, use cases and commercial narratives.
• Ensure sales materials, websites, landing pages, decks and campaigns tell the same story.
• Support commercial launches for new products and major DKG initiatives.
• Feed campaign and customer-response data back into product and commercial strategy.
   

Marketing Operations

• Build a reusable launch and campaign system for DKG.
• Manage the Social Media / Demand Generation Specialist and coordinate relevant designers, content creators and contractors.
• Maintain marketing dashboards and concise performance reporting.
• Establish practical KPIs tied to business outcomes rather than vanity metrics.
   

Current Product Environment

The role will support a portfolio that can include:

• commercial analytics and investment-intelligence platforms;
• UAE/GCC and other regional ecosystem platforms;
• Longevity Club and associated membership/product infrastructure;
• Longevity Banking Card and marketplace products;
• HealthTech and diagnostics products;
• LBams and API-AMS;
• Dubai Longevity Constellation and related partner/replication propositions;
• white-label analytics and intelligence;
• DKG indices, reports and flagship launches;
• strategic partnerships, recruitment and other high-value Group campaigns.

The portfolio is broad by design. The successful candidate must enjoy learning difficult subject matter and turning it into understandable, attractive and actionable communication.
 

Requirements

• 6+ years in MarTech, growth marketing, demand generation, digital marketing or related roles.
• Demonstrated experience designing and operating end-to-end marketing funnels.
• Strong CRM and marketing-automation experience.
• Experience with email marketing, audience segmentation, lifecycle/nurture systems and database-driven campaigns.
• Strong understanding of landing-page optimization, web conversion and digital analytics.
• Proven history of making marketing decisions using data and experiments.
• Experience supporting B2B or technology products with complex value propositions.
• Ability to work directly with Product and Business Development.
• Strong project-management and cross-functional coordination ability.
• Advanced practical use of AI for content, analysis, personalization, research and workflow automation.
• Excellent written and spoken English.
• Ability to work independently in a fast-moving environment with incomplete information.
   

Strong Advantages

• Experience in AI, FinTech, HealthTech, Longevity, DeepTech, SaaS, data or analytics businesses.
• Experience marketing both B2B and B2C products.
• Experience with international campaigns and multiple geographies.
• Experience building or restructuring a MarTech stack.
• Strong understanding of SEO, paid acquisition, retargeting and attribution.
• Experience with product launches, research-driven marketing or executive thought leadership.
• Hands-on experience with HubSpot or comparable CRM/automation platforms.
   

What Success Looks Like

The objective is to move DKG from project-by-project marketing toward a repeatable demand-generation and commercialization engine.

Marketing should become measurable in terms of:

• qualified audience growth;
• relevant leads generated;
• cost and efficiency of acquisition;
• landing-page and funnel conversion;
• meetings or opportunities generated for BD;
• partner/customer pipeline influenced;
• product adoption;
• and ultimately commercial conversion.

About the Role

Deep Knowledge Group (https://www.dkv.global/) is seeking a senior specialist in graph intelligence, knowledge graphs and advanced network visualization to help turn large entity datasets into usable relationship intelligence.

Across DKG's analytical platforms, the important question is often not merely “what entities exist?” but:

How are they connected? Which relationships matter? Where are the clusters, central actors, hidden dependencies, emerging ecosystems and strategic gaps?

DKG maintains and develops complex datasets covering companies, investors, technologies, industries, experts, institutions, partnerships, geographical ecosystems and other interconnected entities. The objective of this role is to transform these relationships into scalable analytical systems and interactive intelligence products.
 

Key Responsibilities

• Design graph data models for complex multi-entity analytical datasets.
• Develop knowledge graphs and network-intelligence systems connecting companies, investors, technologies, people, institutions, projects, geographies and other entity types.
• Build pipelines for transforming structured and semi-structured datasets into graph-ready data.
• Work on entity normalization, relationship definitions and graph-schema design.
• Apply network-analysis methods including centrality, clustering, community detection, connectivity analysis and relationship mapping.
• Identify strategically relevant patterns and relationships that conventional tables and dashboards may not reveal.
• Develop interactive graph interfaces that allow users to explore networks without producing unreadable “hairball” visualizations.
• Create layered views, filters, drilldowns and contextual information that make large graphs operationally useful.
• Integrate graph analytics into DKG dashboards, ecosystem platforms and intelligence products.
• Work with data engineers and analysts to ensure graph outputs are analytically valid.
• Build reusable graph components and analytical frameworks for application across different DKG industries.
• Explore graph machine learning or predictive relationship analytics where these provide genuine practical value.
• Document graph schemas, relationships and analytical methodology.
   

Required Skills

• Strong practical experience with graph analytics, network science, knowledge graphs or closely related work.
• Strong Python skills.
• Experience with NetworkX, igraph or comparable graph-analysis libraries.
• Experience with graph databases such as Neo4j, Memgraph, ArangoDB or equivalent.
• Strong understanding of graph schemas, nodes, edges, properties and relationship modelling.
• Experience with advanced graph visualization tools or frameworks such as D3.js, Sigma.js, Graphistry, Gephi or similar.
• Experience cleaning and structuring complex real-world datasets.
• Ability to convert analytical requirements into appropriate graph structures and algorithms.
• Strong understanding of visual usability for large and complex networks.
• Ability to explain graph-derived findings in practical strategic terms.
• Strong English communication skills.
   

Strong Advantages

• Experience with graph machine learning, embeddings or link-prediction techniques.
• Experience with PyTorch Geometric, DGL or comparable graph-ML frameworks.
• Experience building market-intelligence, investment-intelligence, OSINT or ecosystem-mapping products.
• Experience with entity resolution and ontology/taxonomy design.
• Experience integrating graphs into production web applications.
• Familiarity with AI-assisted coding and analytical workflows.
• Exposure to investment analytics, AI, DeepTech, Life Sciences or other complex knowledge domains.
   

What Makes This Role Different

We are not looking for somebody whose main output is visually impressive network diagrams.

The purpose of graph intelligence at DKG is to expose relationships that improve actual analysis and decision-making—for example:

• identifying important companies or investors inside an ecosystem;
• mapping technology-to-company-to-investor relationships;
• identifying clusters and emerging technological concentrations;
• visualizing stakeholder and partnership ecosystems;
• tracing relationships between projects, organizations, markets and strategic opportunities.

The successful candidate must therefore combine graph engineering, analytical reasoning and visual-product design.
 

What Success Looks Like

A successful Graph Intelligence Specialist will create graph systems that become reusable infrastructure across DKG's analytical products: technically robust, analytically meaningful and sufficiently intuitive that users can extract useful insights without needing to understand graph theory.