Deep Knowledge Group

About the work

We build and maintain industry intelligence databases - organizations, people, products and their relationships across sectors such as HealthTech, QuantumTech, LegalTech and wellness, covering multiple 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.

That means the hard problems here are not "write a scraper". They are: how do you know two records are the same organization? How do you prove where a field came from six months later? How do you re-run a collection over a source that changed its markup, without corrupting what you already have?

You will work directly with the Head of Data Science and a team of AI and data engineers.

What you will do
 

• Build and own collection pipelines over public web sources - structured, semi-structured and awkward
• Design the enrichment layer: normalization, deduplication, entity resolution, confidence scoring
• Keep provenance on every field, so any value can be traced back to its source and date
• Use LLMs where they genuinely help - extraction from unstructured text, classification, taxonomy assignment - and know where they don't
• Take datasets from one-off collection to scheduled, monitored, re-runnable pipelines
• Define and enforce quality checks: coverage, freshness, duplicate rate, field completeness

What we're looking for

Both levels
 

• Strong Python - you write services and pipelines, not notebooks
• Real production scraping experience: sessions, rate limits, retries, blocks, anti-bot, JS-rendered pages, APIs that are not documented
• SQL and PostgreSQL beyond CRUD - indexing, query plans, schema design
• Practical experience with LLM APIs for extraction and classification, including how you validate their output
• Data quality instinct: you check what you collected before you hand it over

Additionally for the Senior opening
 

• You have owned a data platform, not just tasks on one - orchestration, scheduling, monitoring, backfills
• Experience with entity resolution or record linkage across sources that disagree with each other
• Airflow, Dagster or Prefect in production
• You have set the standards other people then worked to: schemas, conventions, review

Nice to have
 

• Docker and CI/CD
• Knowledge graphs, ontologies, or taxonomy design
• Vector search and RAG pipelines
• OSINT methodology and source verification
• Experience with data licensing or compliance constraints on public-web collection

How we hire
 

1. Intro call - 30 minutes, mutual fit and what you've actually built
2. Paid proof task - a real, bounded piece of our work. Paid at market rate, roughly 4 hours. We are not asking anyone to work for free
3. Technical review - we go through your solution together: your trade-offs, what you'd do with more time, what you'd do differently at ten times the volume
4. Offer - band determined by the level you land at, not by the title you applied under

We evaluate the proof 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.
What we care about

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.

To apply: send your CV plus one short paragraph on the hardest data collection or deduplication problem you have solved, and what you got wrong on the way.

We are looking for Project / Product Managers to take ownership of commercial, technology and longevity-related projects from concept to execution.

We welcome candidates from different professional backgrounds. Experience in all of the areas below is not required; however, candidates who combine experience across multiple areas will be strongly preferred.

Relevant backgrounds may include
 

• FinTech / Banking — financial products, payments, banking solutions or related commercial projects
• Product Management — developing and launching digital, technology or commercial products
• Project Management — managing complex projects from planning through final delivery
• Procurement / International Sourcing — supplier management, equipment procurement, manufacturing or sourcing, including experience with international markets such as China
• Technology & Digital Platforms — development or management of digital platforms and technology-enabled products
• International Business & Commercial Development — launching and developing products, partnerships or business initiatives across different markets

Experience in longevity is welcome but is not a requirement.

What we are looking for
Depending on your background, you should be able to take ownership of a project or product and drive it toward a concrete result.

This may involve:
 

• Structuring and managing projects end-to-end
• Coordinating internal teams and external partners
• Turning research, data or business requirements into practical products and deliverables
• Managing product development and commercialization
• Working with technology teams, suppliers, manufacturers or business partners
• Developing professional client-facing materials and commercial solutions
• Managing timelines, priorities and final delivery
• Using AI tools to accelerate research, analysis, content development, project management and day-to-day execution

Key requirements
 

• Proven Project Management or Product Management experience
• Strong practical proficiency with AI tools and the ability to integrate AI into everyday workflows
• Strong ownership and ability to work independently
• Practical, execution-oriented approach
• Strong business and commercial understanding
• Ability to coordinate different teams and stakeholders
• Ability to turn ideas, research and requirements into finished deliverables
• Strong English communication skills

Practical AI proficiency is a mandatory requirement. Candidates should be comfortable using modern AI tools independently to improve productivity, conduct research and analysis, structure information, prepare deliverables and support project execution.

We value versatile, execution-oriented professionals who can take a business objective, determine what needs to be done, organize the necessary resources and deliver a complete result.

We are particularly interested in people who can go beyond research and documentation and contribute directly to the development and execution of real commercial, technology and longevity-related products and projects.

About Us

At Deep Knowledge Analytics, we develop innovative technologies and analytical solutions that support the operational infrastructure of high-tech sectors.

As we expand our presence and establish a new office in Dubai, we are seeking a proactive, highly organized and hands-on Admin Manager to support the setup, launch and ongoing administration of the office.

This role is focused on office operations, administration, procurement, vendor coordination and practical local support across Dubai.

Role Description

The Admin Manager Dubai role is a full-time, hybrid position based in Dubai, United Arab Emirates, with a mix of office presence and work-from-home flexibility. The Admin Manager will oversee day-to-day administrative operations, including office management, coordination of schedules, meetings, travel arrangements, and document handling for local and remote teams. Responsibilities include managing vendor relationships, supervising administrative support staff, ensuring compliance with internal policies, and maintaining efficient processes for procurement, facilities, and record-keeping. The role will also support internal reporting, assist with onboarding and offboarding workflows, and coordinate cross-functional communication with global stakeholders. The Admin Manager is expected to implement best practices in administration, proactively resolve operational issues, and contribute to a professional and organized working environment. 

Key Responsibilities

1. Search for suitable office premises in Dubai and coordinate property viewings and lease discussions.
2. Organize office setup, including furniture, equipment, internet and required services.
3. Source and manage local suppliers, vendors, landlords and service providers.
4. Compare quotations, coordinate purchases and monitor deliveries.
5. Support day-to-day office administration and operational requirements.
6. Additional assistance in Office coordination inside/outside the office
7. Strong office administration and operations management skills, including scheduling, document management, and facilities coordination.
8. Experience with process improvement, workflow optimization, and basic project coordination in a fast-paced environment.
9. Proficiency with productivity tools and office software (e.g., Microsoft Office or Google Workspace, digital filing systems, collaboration platforms).
10. Solid organizational, planning, and time-management skills, with the ability to prioritize multiple tasks and meet deadlines.
11. Excellent written and verbal communication skills in English; additional language skills relevant to the region are an advantage.
12. Demonstrated ability to work independently and as part of a multicultural, geographically distributed team.
13. Familiarity with UAE labor and office regulations is beneficial, along with a professional, detail-oriented, and ethical approach to work.

Requirements

1. Higher education.
2. 3–4+ years of experience in Administration Processes, People Operations, Office Management or Administration.
3. Excellent organizational, communication and negotiation skills.
4. Ability to manage multiple Admin/HR and operational tasks independently.
5. Strong problem-solving and results-oriented mindset.
6. English and Russian — required.
7. Based in Dubai 
8. High mobility across Dubai.
9. Category B / UAE-equivalent driving licence strongly preferred.
10. Own car is preferred.

Nice to Have

1. Previous UAE/Dubai work experience.
2. Experience launching or relocating an office.
3. Experience with office leasing, furniture/equipment procurement or vendor management.
4. Experience in startups, technology companies or scaling teams.
5. Understanding of KPIs and performance management.
6. Existing network of Dubai suppliers, property agents or service providers.
7. Valid UAE work visa