Our hosting team delivers InterSystems’ solutions as hosted or managed services, anywhere in the world.  As more and more clients change to hosted solutions, we are looking for junior and senior systems engineers to join the team and help us with delivering the high levels of availability, performance and security that our clients have come to rely on.

The role offers a fantastic opportunity to gain experience across a range of technologies, to solve interesting problems, to be allowed to make improvements, and to be recognized for making a difference.

Responsibilities - Deployment

• Work with our co-location partners to design appropriate cage, rack and server layouts and to ensure the ongoing provision of space, power and cooling in support of existing and forecasted solutions.
• Work with the engineering/architecture teams to design solutions so as to maximize performance, efficiency and operability of hosted solutions.
• Lead and/or participate in the provisioning and deployment of server, network and other hosting-related equipment, including hands-on build and configuration as/when required
• Participate in the deployment of new applications and/or changes, ensuring that all service components are documented and monitored and integrated into the company’s operational processes.
• Perform hardware qualification testing on new hardware platforms and certify them for production deployments.
• Work with stakeholders across the solutions lifecycle to ensure that pre-operational sign-offs are obtained, so as to ensure that solutions can be operated in a way that meets or exceeds performance targets e.g. security, availability and response times.
• Assist with the troubleshooting of integration issues.
• Consulting with technical stakeholders (including customers) on the delivery of hosted solutions.

Responsibilities – Operations

• Hands-on administration and maintenance of hosted solutions and related infrastructure (firewalls, switches, servers, storage, etc.) including pro-active identification and fixing of potential incidents, backup management, etc.
• Participate in the definition, documentation, operation and continuous improvement of operational processes e.g. ITIL-based processes such as incident, change, problem and configuration management, and the smooth integration of these with wider company processes and systems.
• Define, implement, monitor and report on metrics that are required for the delivery of highly-available hosted services, as well as to meet the needs of the wider organization e.g. management, engineering, customer services and our customers.
• Provide technical support for all areas of hosted services, including participation on a 24x7 on-call rota; ensure the timely resolution of incidents and/or problems affecting hosted solutions and deploy approved changes and/or updates as required.
• Further enhance the automation of hosting-related processes e.g. deployment of changes, deployment of new services, inventory management, security scanning, service level reporting, etc.

Experience & Qualifications

• Strong hands-on experience with server hosting (e.g. data center) infrastructure and (ideally) management with Cisco UCS blades
• Hands-on storage/SAN deployment and (ideally) management experience with EMC Unity, Data Domain, Avamar. Dell D?
• Hands-on Cisco and F5 networking deployment and management experience with Cisco Nexus 7000/9000, ASA Firewalls, F5 LTM and DNS load balancers, route domains and contexts. Active Directory/Windows – More Linux > Windows
• Hands-on VMware deployment and management experience with VMware 6.x/7.x 8
• Hands-on Linux deployment and management experience with RHEL 7.x
• Hands-on Windows domain and AD management experience
• Strong troubleshooting skills
• Strong scripting skills
• Enthusiasm and talent for acquiring complex technical skills
• Good customer service attitude
• Knowledge of service monitoring and alerting (Nagios, Cacti preferred)
• Knowledge of configuration management (Puppet and/or Red Hat Satellite preferred)
• Scripting for automation using technologies (e.g. Powershell, Puppet, Ansible, Python)
• ITIL knowledge – principles and application
• Ability to support and develop junior colleague

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Dubai for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273390803

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!

About the Program: 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role:

We're looking for a fresh graduate or early-career Data Analyst on an analytical engineering path.

This role blends the best of data analysis and data engineering. You will help turn raw data into trustworthy, well-modeled datasets that:

• make definitions consistent (so "the number" means the same thing everywhere)
• improve data quality and reliability
• enable self-serve analytics and AI-assisted insights across teams (not just dashboards)

You will also help make Tamara’s data AI-ready by building well-defined datasets, metrics, and documentation that can be safely used by AI tools (and people) across the company.

With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data structures, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, data quality, and interpretation.

You will collaborate with a diverse ecosystem of engineers, product experts, and business to solve real problems that impact our customers and business outcomes.

Your responsibilities

• Model and transform data for analysis
  • Build and maintain clean, reusable datasets (fact and dimension tables) that power reporting and self-serve analytics.
  • Contribute to a scalable metrics layer: define, document, and align business definitions (for example, "active user", "approval rate", "default rate").
• Support analytics and decision making
  • Answer ad-hoc questions with clear analysis and explainable methodology.
  • Turn common questions into reusable, self-serve assets: dashboards and AI-enabled workflows (a curated dataset + definitions that an AI assistant can query correctly, plus validated example analyses).
  • Create AI-friendly data products (well-defined datasets, metrics, and documentation) that teams can query through AI tools.
• Enable AI-ready analytics
  • Package datasets and metrics so they can be reliably used by AI tools (clear grain, business definitions, data contracts, examples).
  • Write AI-friendly documentation: glossary, metric definitions, common queries, and pitfalls.
  • Partner with AI and platform teams to ensure critical tables are discoverable, permissioned correctly, and safe to use.
• Ensure data quality and reliability
  • Write basic tests, checks, and monitoring for key datasets and critical metrics.
  • Troubleshoot data issues and improve reliability from source to reporting.
• Work effectively with engineering and product
  • Collaborate with data engineers on schema changes, event tracking, and pipeline improvements.
  • Translate ambiguous business questions into measurable analyses, and communicate findings clearly.
• Use AI tools thoughtfully
  • Use AI to accelerate SQL drafting, code scaffolding, and documentation.
  • Validate AI outputs, document assumptions, and protect sensitive data.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships, projects, or part-time roles count).
• Solid SQL fundamentals (joins, aggregations, basic window functions).
• One programming language for analysis (preferably Python) with basic skills in:
  • Data manipulation (tables/dataframes)
  • Basic statistics (distributions, sampling intuition, confidence basics)
• Strong analytical thinking:
  • Ability to define a problem, form hypotheses, validate data, and explain results.
• Strong attention to detail and commitment to accurate, reliable outputs.
• Ability to work effectively in a team-oriented environment.

Nice to have

• Exposure to data modeling concepts (star schema, slowly changing dimensions, metrics definition).
• Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects.
• Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and evaluation or sanity-check checklists) is a plus.
• Experience using AI assistants responsibly to accelerate analysis or analytics engineering work (for example, SQL drafting, code scaffolding, documentation).
• Experience with version control (Git) or basic software engineering practices.
• Understanding of event tracking and product analytics (funnels, cohorts, retention).
• Knowledge of responsible data handling (PII basics, access controls, safe sharing).

What success looks like

• You can independently produce a well-structured analysis with clear assumptions and validation steps.
• You contribute at least one reliable dataset or transformation that becomes a shared building block for analytics.
• Stakeholders can answer more questions with self-serve and AI-assisted exploration, with less back-and-forth.
• A key dataset or metric you built becomes usable through AI tools with consistent answers (validated against a source-of-truth definition).
• You can spot when results look off, debug quickly, and explain the root cause.

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.

Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.

If this sounds like you: curious, driven, and ready to build, we’d love to meet you

Apply now and join the next generation of Builders!

About Tamara's Builders Program 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role

We’re looking for a fresh graduate or early-career Associate Data Scientist on a builder path.

This role blends product thinking, applied statistics, and production-minded analytics. You will:

• turn ambiguous problems into measurable questions
• build reliable measurement (metrics and experimentation)
• create lightweight models and decision tools that teams can use in real workflows
• partner closely with engineering, product, and risk to improve customer outcomes and business performance
• build AI-assisted decision workflows (for example, LLM-powered analysis copilots backed by a curated metrics layer, with clear guardrails and validation)

With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data generation, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, robustness, and interpretation.

Your responsibilities

• Define problems and measurement
  • Translate product or business questions into testable hypotheses and clear success metrics.
  • Build and maintain metric definitions and analysis templates so decisions are consistent and repeatable.
• Experimentation and causal thinking
  • Design, analyze, and interpret A/B tests (and quasi-experiments when randomization is not possible).
  • Partner with product and engineering to ensure correct tracking, guardrails, and experiment quality.
• Modeling for decisions (practical ML)
  • Build baseline predictive and segmentation models (for example, churn propensity, risk signals, customer clustering) with clear evaluation and limitations.
  • Focus on models that are actionable: who will use them, when, and what decision they change.
• Applied AI (LLMs) for analytics and decisioning
  • Prototype small, safe LLM use cases that improve how teams explore data (for example, natural-language Q&A over a curated dataset, summarizing experiment results, or generating investigation checklists).
  • Help define evaluation and validation approaches for AI-assisted outputs (sanity checks, golden queries, offline test sets, and human review loops).
  • Partner with platform and security stakeholders to ensure AI workflows are permissioned correctly and avoid leaking sensitive data.
• Analytics that ships
  • Create reusable, well-documented analysis assets: datasets, feature tables, notebooks, dashboards, and simple services or jobs.
  • Collaborate with data engineering to productionize reliable pipelines where needed.
• Data quality and reliability
  • Validate data inputs, monitor key metrics, and investigate anomalies.
  • Document assumptions and build sanity checks so analyses and models are trustworthy.
• Responsible use of AI tools
  • Use AI to accelerate coding, documentation, and exploration.
  • Validate AI outputs, protect sensitive data, and follow safe data handling practices.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships, capstone projects, or part-time roles count).
• Strong SQL fundamentals (joins, aggregations, window functions).
• One programming language for data (preferably Python) with basic skills in:
  • Data manipulation (tables/dataframes)
  • Statistics fundamentals (distributions, sampling intuition, confidence basics)
  • Basic modeling (regression/classification basics and evaluation intuition)
• Strong analytical thinking:
  • Ability to define a problem, validate data, and explain results clearly.
• Strong attention to detail and commitment to accurate, reliable outputs.
• Ability to work effectively in a team-oriented environment.

Nice to have

• Exposure to experimentation platforms or frameworks (for example Statsig, Optimizely, internal experimentation tooling).
• Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects.
• Exposure to ML tooling (scikit-learn, notebooks, basic MLOps concepts) and version control (Git).
• Familiarity with LLM concepts (prompting basics, retrieval/RAG intuition, and evaluation approaches) through coursework or side projects.
• Understanding of product analytics concepts (funnels, cohorts, retention) and causal pitfalls (selection bias, confounding).
• Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and sanity-check checklists).
• Knowledge of responsible data handling (PII basics, access controls, safe sharing).

What success looks like

• You can independently deliver an end-to-end analysis with clear assumptions, validation steps, and a concrete recommendation.
• You help ship at least one decision tool (experiment, metric framework, or lightweight model) that changes a product or business decision.
• Stakeholders can run repeatable analyses with less back-and-forth, and your work reduces ambiguity in key metrics.
• You can spot when results look off, debug quickly, and explain the root cause.

About Us

Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.

Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.

Your Role

We are looking for a Senior Machine Learning Engineer (MLE) to join our Risk Data Science team. You will play a key role in designing, building, deploying, and scaling ML models that drive credit risk, fraud prevention, behavioral scoring, and other risk-related decision systems across our business.

You will work closely with data scientists, risk analysts, and engineering teams to transform research prototypes into high-performance, production-grade solutions that operate at scale in real-time decisioning environments.

Your Responsibilities

Model Deployment & Scaling

• Productionise risk and fraud models developed by the DS team using robust, efficient, and maintainable architectures
• Design low-latency, high-availability APIs and pipelines for real-time model inference.
• Implement batch scoring systems for periodic risk assessments.=

MLOps & Infrastructure

• Build and maintain CI/CD pipelines for model deployment and monitoring.
• Set up automated feature engineering pipelines, leveraging feature stores.
• Ensure model governance: reproducibility, versioning, auditability, and compliance with regulatory requirements.

Model Monitoring & Maintenance

• Implement real-time and batch monitoring for data drift, concept drift, and model performance.
• Build automated retraining workflows and model rollback mechanisms.

Collaboration with Risk DS

• Work closely with risk data scientists to translate experimental code (Python, notebooks) into production-grade services.
• Advise DS on efficient model architectures for operational environments.
• Optimize feature computation for speed and scalability.

System Design & Integration

• Integrate models with credit underwriting, fraud detection, collections, and merchant risk systems.
• Collaborate with backend engineering to align on API contracts and system interfaces.

Your Expertise

• 6+ years of experience as an MLE, ML Engineer, Mlops Developer.
• Strong Python skills (including Pandas, NumPy, scikit-learn, PySpark, FastAPI/Flask).
• Proficiency in distributed computing frameworks (Spark, Ray) and workflow orchestration tools (Airflow, Prefect).
• Experience with MLOps tools (MLflow, SageMaker, Vertex AI, or similar).
• Strong understanding of model deployment in cloud environments (AWS/GCP/Azure).
• Solid knowledge of microservice architecture, containerization (Docker), and orchestration (Kubernetes).
• Proven track record of deploying and maintaining ML models in production at scale.
• Experience in building and integrating with real-time streaming systems (Kafka, Kinesis, Pub/Sub).

All qualified individuals are encouraged to apply.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.

Responsibilities:

• Primary owner of P&L in one or multiple areas of energy business
• Build and maintain fundamental and quantitative trading models
• Work with risk to ensure compliance with agreed upon risk management metrics and sizing
• Liase side by side with senior energy traders to share best practices / learnings where applicable
• Learn proprietary methodologies and trading systems that support an established trading business
• Grow existing trades and P&L while identifying and pursue new opportunities
• Further responsibilities may be driven by the individual’s interests and specific skills

Requirements:

• Energy trading experience required
• Self-starter with entrepreneurial spirit
• Able to learn quickly in a fast paced, high pressure environment
• Targeted ISO experience and knowledge of fundamental grid
• Detail oriented, organized, diligent
• Maintain composure and communicate clearly when under pressure
• Ability to succeed working as part of a diversified team
• Strong understanding of math, probability, and statistics
• High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus
• Advanced aptitude for problem solving and multitasking
• Proven track record with historical P&L preferred

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.

Responsibilities:

• Primary owner of P&L in one or multiple areas of energy business
• Build and maintain fundamental and quantitative trading models
• Work with risk to ensure compliance with agreed upon risk management metrics and sizing
• Liase side by side with senior energy traders to share best practices / learnings where applicable
• Learn proprietary methodologies and trading systems that support an established trading business
• Grow existing trades and P&L while identifying and pursue new opportunities
• Further responsibilities may be driven by the individual’s interests and specific skills

Requirements:

• Energy trading experience required
• Self-starter with entrepreneurial spirit
• Able to learn quickly in a fast paced, high pressure environment
• Targeted ISO experience and knowledge of fundamental grid
• Detail oriented, organized, diligent
• Maintain composure and communicate clearly when under pressure
• Ability to succeed working as part of a diversified team
• Strong understanding of math, probability, and statistics
• High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus
• Advanced aptitude for problem solving and multitasking
• Proven track record with historical P&L preferred

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.

Responsibilities:

• Primary owner of P&L in one or multiple areas of energy business
• Build and maintain fundamental and quantitative trading models
• Work with risk to ensure compliance with agreed upon risk management metrics and sizing
• Liase side by side with senior energy traders to share best practices / learnings where applicable
• Learn proprietary methodologies and trading systems that support an established trading business
• Grow existing trades and P&L while identifying and pursue new opportunities
• Further responsibilities may be driven by the individual’s interests and specific skills

Requirements:

• Energy trading experience required
• Self-starter with entrepreneurial spirit
• Able to learn quickly in a fast paced, high pressure environment
• Targeted ISO experience and knowledge of fundamental grid
• Detail oriented, organized, diligent
• Maintain composure and communicate clearly when under pressure
• Ability to succeed working as part of a diversified team
• Strong understanding of math, probability, and statistics
• High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus
• Advanced aptitude for problem solving and multitasking
• Proven track record with historical P&L preferred

Benefits:

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across the UAE and the broader region. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from the UAE.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the MEA market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the MEA market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in Arabic and English preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This role is based in Saudi Arabia or Dubai, UAE, and requires candidates to be locally based in one of these locations.
Travel: 20% travel domestically and globally
Job ID: 1374

The Role

We are seeking an exceptionally talented individual to join our Cross-Asset Derivatives Risk Management team as a Risk Manager. This role will focus on risk management and portfolio oversight of the firm’s Equity Derivatives, Macro EM and Delta One strategies, which include Equity vol, Fixed Income, Index Rebalance & Special situations strategies amongst others.

What you’ll do 

As a Risk Manager, you will:

• Report to the Head of Cross-Asset Derivatives Risk and partner daily with Portfolio Managers, Strats, and developers to monitor portfolios and design solutions that reduce concentration and stress risks.
• Build, implement and validate models that power both risk management and the investment process.
• Partner with our Technology organisation to enhance data infrastructure, automate risk-limit monitoring and streamline raw-data ingestion.
• Work with Portfolio Managers, providing regular and ad-hoc analytics on strategy performance, risk profiles and tail-risk scenarios.
• Collaborate with strategy COO, fellow risk managers and tech teams to build and maintain the modelling, pricing and analytics toolkit that powers our multi-strategy platform.

What you’ll bring
What you need:

• A minimum of 5 years’ relevant experience in a PM-facing role
• Strong knowledge of equity derivatives and portfolio risk management
• Knowledge of quantitative finance including risk-neutral options pricing and cross-sectional factor models
• Experience analyzing and modeling large data sets
• Strong coding skills in one or more languages such as R, Python or C++
• Experience working with relational databases such as MySQL
• Strong communication skills

We’d love if you had:

• Direct experience in Macro, Delta one and Equity Derivatives Strategy

Who we are

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

#LI-DK1

Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.

In this role, you'll help the team:

• Co-develop production-level data science projects with our customers

• Analyse and investigate various kinds of data and machine learning applications across industries and use cases

• Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support

• Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams

• Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

You might be a good fit for the role if you have:

• English - fluent, Arabics - fluent/native will be a big plus

• Curiosity and a desire to learn new topics and skills

• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public

• The ability to clearly explain complex topics to technical as well as non-technical audiences

• 2 - 10 years of experience with Python and SQL

• 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)

• Familiarity with data visualisation in Python and R

• Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Technical skills that may help you in the role:

• Experience with Consulting and/or Customer-facing Data Science roles

• Experience with Data Engineering or MLOps

• Experience developing WebApps in JavaScript, RShiny, or Dash

• Experience building APIs

• Experience using enterprise data science tools

• Passion for teaching or public speaking

#LI-AS2

Available Locations: Dubai

What you’ll do

The Pre-Sales Solutions Engineering organisation is responsible for the technical sale of the Cloudflare solution portfolio for the Digital Native Business, ensuring maximal business value, fit-for-purpose solution design and efficient adoption roadmaps for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, curious and collaborative team.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support to do so. Your goal of customer success should drive you through the entire organisation as you seek out and create scalable solutions for your customer’s needs.

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare. 

All the resources and training required to be effective for the role, will be provided. 

Examples of desirable skills, knowledge and experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below:

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent English (written & spoken)
• experience with Oracle, AWS, MS or leading cybersecurity solution
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
  • Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
  • Can explain the difference between authoritative DNS & recursive DNS?;
  • You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some travel (10-15 days per quarter): we expect to travel to customer offices, conferences and/or do talks.

Bonus!

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends in Security such as Zero Trust.

The Role:

Ziina is looking for a Senior Data Platform Engineer to join our team. This role is an exciting opportunity to build the foundations of our data platform from the ground up — the pipelines, warehouse, and tooling that will power decision-making, analytics, and future ML/AI capabilities across the company. We're at a major inflection point in our growth, and we're looking for the right person to shape how data is ingested, modeled, and consumed at Ziina as we scale.

As part of a small, agile team, our ideal candidate is a creative problem-solver with the vision to build from the ground up and the skill to own systems end-to-end. You'll thrive in our fast-paced environment by making sound tradeoffs and focusing on high-impact solutions. We're looking for someone who is as ambitious as we are to deliver high-quality products to our users. In short, we want owners who are ready to build big things with us.

As a Senior Data Platform Engineer at Ziina you will:

• Build and maintain scalable data pipelines and processing systems that ingest data from transactional databases, object storage, and external APIs
• Design and evolve our data warehouse architecture and data models to support analytics, reporting, and ML/AI use cases
• Improve the reliability, observability, and performance of our data systems
• Implement data quality checks and monitoring to ensure trusted, accurate data across the company
• Enable self-service data access and analytics so product, engineering, and business teams can make data-driven decisions independently
• Support the foundational capabilities that will power our ML and AI use cases as they grow

To succeed in this role, you likely:

• Bring 5+ years of experience in Data Engineering, Data Platform, or Analytics Engineering
• Have strong expertise building and maintaining data pipelines with orchestration tools like Dagster, Airflow, or Prefect, and writing ETL/ELT workflows in Python
• Are proficient with modern data warehouses (Snowflake, BigQuery, or Redshift) and transformation frameworks like dbt
• Have hands-on experience ingesting data from a mix of sources — PostgreSQL, S3, external APIs — supporting both transactional and event-driven use cases
• Are familiar with data quality, observability, and monitoring practices for production data systems
• Use the latest AI tools and technologies to boost your productivity
• Are based in, or open to relocating to, the UAE

What would amaze us

• Proven experience building data platforms at fintech or other high-scale, high-reliability companies
• A track record of designing data warehouse architectures and models that scaled cleanly as the company grew
• History of building self-service analytics tooling that meaningfully expanded who in the company could work with data
• Experience enabling ML/AI workloads on top of a data platform — feature stores, ML pipelines, or serving infrastructure
• Active engagement in the data community through open source contributions, conference speaking, or technical writing

Our tech stack:

The data platform is a core investment area at Ziina. Our current stack is:

• Snowflake as our data warehouse, with dbt for data transformation and modeling
• Dagster for orchestrating data pipelines, with Python for building ETL/ELT workflows
• Data ingestion from PostgreSQL, S3, and external APIs, supporting both transactional and event-driven use cases
• Metabase for analytics and internal reporting

The broader Ziina engineering stack that the data platform integrates with:

• Typescript, Node.js and Nest.js for our main application's backend
• GraphQL Federation for our client-facing APIs and Kafka for our inter-service communication
• PostgresSQL for consistent and durable storage, Redis for quick fetching, Elasticsearch for quick searching
• AWS for hosting our cloud infrastructure and Kubernetes for orchestrating our workloads
• Terraform for IaC, GitHub Actions for CI/CD

• Tip of the Spear: Lead the deployment of WorkOS in the field. You will be responsible for understanding a customer's operational "chaos" and architecting an AI-driven solution that fixes it in weeks, not months.
• Rapid-Fire Execution: Build, iterate, and ship. You will write high-quality, full-stack code to create bespoke integrations and augment our platform’s core capabilities and create custom agents. This goes beyond context engineering; you’ll build the connective tissue - integrating bespoke APIs, setting up RAGs and Evals, tuning the E2E system and performance, and architecting multi-agent handoffs.
• Feedback Loop Mastery: You are the eyes and ears of the product team. You will translate field-tested insights into core product requirements, ensuring WorkOS remains grounded in real-world utility.
• Winning Stakeholders: Act as the technical face of WorkOS. You’ll need to win the trust of stakeholders, navigate complex enterprise hierarchies, and persuade skeptics by shipping results that speak for themselves.
• Technical Versatility: One day you’re setting up a RAG pipeline; the next, you’re debugging a legacy enterprise API or designing a custom dashboard. You do whatever is necessary to make the solution land.

• 5–8+ years of high-octane engineering experience. You are likely a senior-level engineer who is "hungrier" than your peers and bored by traditional, slow-moving dev cycles.
• The FDE Pedigree: Experience in forward-deployed, mission-driven environments (e.g., Palantir, high-growth startups, or specialized consultancy) where you worked directly with customers.
• Full-Stack Polyglot: Mastery of the modern stack (React/TS, Python/Node) with the ability to jump into any codebase and be productive on day one.
• AI Fluidity: Strong working knowledge of LLMs, prompt engineering, and agentic frameworks. You don't just know the theory; you know how to make AI work in production.
• Excellent Communication: You are a "social engineer." You can explain complex AI logic to a CEO and then pivot to a deep-dive session with an infrastructure lead without missing a beat.
• Relentless Bias for Action: You are a builder who values shipping over perfection. You have a "founder-level" sense of ownership and aren't afraid to get your hands dirty.
• Willingness to work on-site full time in UAE, with occasional travel to be embedded with regional partners.

• A Blank Canvas and Live Ammunition: The rare opportunity to build a "0-to-1" product while immediately deploying it into the real-world operations of a regional giant. No "sandbox" projects here, you’ll be shipping code that moves people and goods on day one. This is a huge opportunity to create impact in our region.
• A Special Ops Mission: We’re a lean, impact-obsessed team operating with total autonomy. You’ll be free from corporate bureaucracy and legacy baggage, focused entirely on winning the customer and solving "unsolvable" problems.
• Direct Collaboration with Leadership: Direct engagement with Careem and enterprise client leadership, in addition to working side-by-side with the WorkOS founding team including Magnus Olsson (Careem’s original Co-founder).

The role

We are looking for a Middle Software Engineer (C++) who has experience with high-load applications. You will be working on developing and optimizing trading systems, algorithms, and connections to cryptocurrency exchanges. If you have worked with systems where every microsecond counts and everything needs to run fast and smoothly, you might be a good candidate for this role. 

Responsibilities

• Develop and maintain connections to cryptocurrency exchanges and data providers, troubleshoot market data issues.
• Develop new features.
• Work together with different teams to ensure the correct behaviour of algorithms and improve trading systems.
• Helping with fixing small bugs. 

Required Skills & Experience

• Minimum 3 years of experience in software development.
• Extensive experience in C++
• Experience working with high load applications. 
• Good understanding of design patterns, data structures, and algorithms.
• Good understanding of networking concepts.
• Knowledge in financial markets and low latency/high-frequency systems and/or distributed systems.

Bonus points:

• Experience with Python, Kafka.
• Experience with networking protocols REST/Websockets/FIX.
• Experience with AWS, Kibana, Grafana, and Prometheus.

What we offer

• Flexible working hours and a healthy work-life balance.
• Remote-first team.
• Ability to work in a thriving, multicultural, and fun environment in one of the fastest-growing industries in the world.
• Corporate workations: we regularly go on corporate trips to cool places all over the world to get to know each other better, work, and explore the local culture (covid pandemics allowing). 

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Excellence in Hiring & Teamwork
• Lifelong Learning Through Continuous Reflection
• Independent Thinking Through a Meritocracy of Ideas
• Winning

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Support traders within your designated market team to develop and refine trading strategies
• Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
• Build and maintain forecasting models to support short term or long term market views
• Prepare clear market summaries, dashboards and presentations for internal stakeholders
• Monitor real time news, fundamentals and data to inform daily trading decisions
• Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
• Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
• Collaborate with trading, risk and analytics teams to support commercial objectives
• Contribute to research on trading and hedging opportunities within your market
• Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams

Your background:

• Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
• Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
• Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
• A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
• Understanding of basic concepts in data structures, algorithms and computational thinking
• Personal values aligned with Cobblestone’s culture and long-term vision
• Strong sense of ownership and responsibility
• Desire to grow within a high-performance, intellectually demanding environment
• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles
• Experience working with time-series data, machine learning libraries, or cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

1. Application Review
2. Online Assessments: Psychometric and logical reasoning tests
3. Case Study: Research-oriented project to showcase your analytical approach
4. Remote Interviews: Three rounds with members of our Analytics and Trading teams
5. Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

About Us

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX and other top-tier investors.

Role Overview

We are seeking a talented Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.

Key Responsibilities:

• Data Infrastructure & Governance:
  
  
• Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
• Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.

• Business Intelligence & Insights:
  
  
• Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
• Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
• Analyze user behavior and transaction patterns to drive growth strategies.

• Risk & Financial Analytics:
  
  
• Build analytics models for pricing optimization and financial planning.
• Create risk monitoring systems and fraud detection analytics to ensure platform security.

• Strategic Partnership & Team Leadership:
  
  
• Partner with leadership to provide data-driven insights for strategic decision-making.
• Build, manage, and mentor a high-performing team of analysts as the organization scales.

What we are looking for

Must-haves:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 6+ years of experience in analytics or data science roles.
• Strong programming skills in Python and SQL.
• Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
• Proven experience building and maintaining large-scale data pipelines.
• Excellent communication skills with the ability to present complex data to non-technical stakeholders.
• Strong problem-solving skills and meticulous attention to detail.

What helps you stand out:

• A Master's degree in a relevant field.
• Experience in a fintech or financial services environment.
• Direct experience with crypto/blockchain analytics.
• Startup experience is highly preferred.
• Expertise with data visualization tools like Tableau or Looker.

What We Offer

• Competitive salary and benefits package.
• Equity in a rapidly growing company.
• Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
• Opportunity to make a significant impact on global financial infrastructure
• Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

• Conduct original quantitative alpha signal research
• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Prior experience in the financial services industry is not required. 
• A commitment to the highest ethical standards. 

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework.

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE/RESPONSIBILITIES:

• Building components for both live trading and simulation of global equities portfolios
• Building tools for simulation, portfolio construction, dashboards, and the research framework
• Designing and deploying new features to improve portfolio construction methodology and process
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Identifying deficiencies in the trading platform and deploying solutions
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems related issues and handling the release of code fixes and enhancements

REQUIREMENTS:

• Master’s degree or higher in mathematics, statistics, computer science, or other quantitative discipline
• 2+ years of experience designing and developing research tools at a tech firm or quant hedge fund
• Experience with systematic portfolio construction for equities a plus
• Strong programming skills in Python
• Experience with kdb, database design, and large datasets
• Willing to take ownership of his/her work, working both independently and within a small team
• Commitment to the highest ethical standards

Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States. 

We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

• Developing custom AI applications
• Building custom LLMs
• Providing high-quality training data for research and government institutions building LLMs
• Developing partnerships to foster regional talent growth and AI adoption

We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.

You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well. 

Responsibilities: 

• Lead design workshops with the client to define custom AI solutions 
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications: 

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products 
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
• Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

About Rondo Energy 

We are transforming industrial decarbonization with our innovative Rondo Heat Battery technology. Rondo is deploying low-cost, zero-carbon Rondo Heat Batteries to accelerate the deployment of renewable energy and to significantly decarbonize industrial processes that are commonly thought of as "difficult-to-decarbonize". Our heat batteries charge from intermittent renewables to provide high temperature, continuous heat for customers safely, reliably, at an unprecedented 98% efficiency - and at a cost point that is lower than any other method.   

Our technology is designed to replace fossil-fired boilers. By enabling industries to adopt renewable energy without costly factory changes, we are accelerating the transition to a sustainable future. With over $160 million in funding and partnerships across critical industrial sectors, Rondo is scaling rapidly to meet global demand.  
 
Rondo Energy is looking for a customer-centric Application Engineer to join our team and help us repower industrial heat at a scale. In this role, you will work closely with the Rondo Mechanical Engineering team, external partners, and prospective customers to define complete system solutions which deliver zero carbon, reliable heat for customer projects. You will conduct thermo-economic analyses to identify configurations which maximize the value created by Rondo’s technology and develop the technical information critical to developing a robust pipeline of project opportunities.   

Together we can reduce world CO₂ emissions by 10% in 10 years, and by 15% in 15 years!   

What You Will Do (key responsibilities for this role include but are not limited to):   

• Lead and own technical discussions with customers and external partners to identify opportunities and define project requirements, driving project success. 
• Conduct comprehensive site evaluations, process integrations, techno-economic simulations, and feasibility studies to determine project viability and maximize customer value generation. 
• Develop creative solutions and strategies to generate customer value through customized system configurations, tailored to the unique needs of each client.
• Collaborate closely with the Product, Engineering and Energy Markets teams to perform in-depth product analyses, market studies and technical evaluations ensuring that Rondo’s solutions are competitive and meet market demands. 
• Provide technical expertise and support during customer presentations and meetings, effectively communicating the benefits and value proposition of our solutions.  
• Stay informed on industry trends, technological innovations, and regulatory changes to keep Rondo’s offerings competitive and aligned with market needs.  

What You Will Bring:   

• A passion for contributing to sustainable energy transition  
• An education base in Mechanical, Chemical, Electrical Engineering or equivalent Engineering work experience   
• +5 yrs work experience in a related role  
• Basic proficiency in coding (Python, Visual Basic)  
• Ability to operate autonomously and self-direct toward the highest priority  
• Excellent communication and teamwork abilities  
• Innovative and results-oriented thinking  
• Outstanding presentation and oratory skills  
• Ability to connect and build trust with a wide variety of customers or potential customers  
• The ability to travel occasionally as needed for customer or investor meetings   

Bonus Points:   

• Expertise developing and deploying energy system dispatch and analysis tools in Python 
• Experience in an Applications Engineering role   
• Experience with industrial processes which use heat    
• Knowledge of energy market economic principles  
• Prior background working in an EPC or an engineering firm/industry  

The role will be remote and ideally based in Dubai, or Abu Dhabi. Applicants must be entitled to work in those locations - VISA sponsorships or relocation costs cannot be supported at this time.

Rondo Energy is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities.

Rondo is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the interview process, please let our recruiting team know.

We proactively work to design hiring processes that promote equity and inclusion while mitigating bias.

Note to Recruitment Agencies: Rondo does not accept unsolicited agency resumes. Furthermore, Rondo Energy does not pay placement fees for candidates submitted by any agency other than its approved partners.

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution.

You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning.

Responsibilities

• Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.
• Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance.
• Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.
• Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.
• Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.
• Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale.
• Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews.

Qualifications

Technical

• Proven experience building and shipping LLM-powered products in production environments.
• Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.
• Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements.
• Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.

Product & Pedagogy

• Strong product instincts—able to connect model behavior to user experience and outcomes.
• Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that.
• Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions.

Character & Collaboration

• High ownership and bias for action—you move things forward without waiting for perfect clarity.
• Comfortable operating in fast-moving environments with evolving constraints.
• Clear communicator who contributes to a strong, low-ego engineering culture.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution.

You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning.

Responsibilities

• Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.
• Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance.
• Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.
• Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.
• Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.
• Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale.
• Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews.

Qualifications

Technical

• Proven experience building and shipping LLM-powered products in production environments.
• Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.
• Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements.
• Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.

Product & Pedagogy

• Strong product instincts—able to connect model behavior to user experience and outcomes.
• Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that.
• Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions.

Character & Collaboration

• High ownership and bias for action—you move things forward without waiting for perfect clarity.
• Comfortable operating in fast-moving environments with evolving constraints.
• Clear communicator who contributes to a strong, low-ego engineering culture.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution.

You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning.

Responsibilities

• Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.
• Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance.
• Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.
• Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.
• Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.
• Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale.
• Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews.

Qualifications

Technical

• Proven experience building and shipping LLM-powered products in production environments.
• Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.
• Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements.
• Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.

Product & Pedagogy

• Strong product instincts—able to connect model behavior to user experience and outcomes.
• Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that.
• Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions.

Character & Collaboration

• High ownership and bias for action—you move things forward without waiting for perfect clarity.
• Comfortable operating in fast-moving environments with evolving constraints.
• Clear communicator who contributes to a strong, low-ego engineering culture.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution.

You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning.

Responsibilities

• Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.
• Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance.
• Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.
• Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.
• Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.
• Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale.
• Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews.

Qualifications

Technical

• Proven experience building and shipping LLM-powered products in production environments.
• Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.
• Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements.
• Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.

Product & Pedagogy

• Strong product instincts—able to connect model behavior to user experience and outcomes.
• Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that.
• Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions.

Character & Collaboration

• High ownership and bias for action—you move things forward without waiting for perfect clarity.
• Comfortable operating in fast-moving environments with evolving constraints.
• Clear communicator who contributes to a strong, low-ego engineering culture.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution.

You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning.

Responsibilities

• Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.
• Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance.
• Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.
• Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.
• Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.
• Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale.
• Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews.

Qualifications

Technical

• Proven experience building and shipping LLM-powered products in production environments.
• Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.
• Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements.
• Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.

Product & Pedagogy

• Strong product instincts—able to connect model behavior to user experience and outcomes.
• Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that.
• Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions.

Character & Collaboration

• High ownership and bias for action—you move things forward without waiting for perfect clarity.
• Comfortable operating in fast-moving environments with evolving constraints.
• Clear communicator who contributes to a strong, low-ego engineering culture.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
• Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
• Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
• Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
• Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical

• 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
• Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
• Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
• Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy

• Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
• Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
• Familiarity with learning science or a desire to develop expertise.

Character & Collaboration

• Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
• Preference for elegance and simplicity in system design.
• Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About the team

The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region’s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.

What you'll do

• Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
• Drive exploratory analysis to understand the ecosystem, user behavior, and identify new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
• Help define and track the appropriate key metrics for specific projects. 
• Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
• Build and deploy retrieval augmented generation systems and other applications of large language models.

What you'll need

• 7-9 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
• Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
• 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
• Strong problem-solving and coding skills.
• Solid knowledge of AB testing, classic ML, and DL
• Solid understanding of recommendations, ranking, and retrieval. 
• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
• Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.

About the Role

We’re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won’t just be building models, you’ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer’s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.

What You'll Do

• Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
• Inventory & Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
• Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
• Dynamic Pricing & Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
• Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
• End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.

What You'll Need

• Academic Background & Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
• Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
• Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
• Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
• Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.

What We’ll Provide You

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the Role

As a Staff Data Scientist I – ETA, you will own the end-to-end ETA prediction systems for Careem’s Food and Groceries verticals. This is a highly technical Individual Contributor role with full domain ownership across architecture, modeling strategy, experimentation, production deployment, and operational excellence.

You will define the long-term vision for ETA systems in high-load, latency-sensitive marketplace environments. You will design and implement multi-stage stochastic pipelines that model preparation time, assignment delay, pickup time, travel time, batching, and pooling effects delivering reliable, calibrated predictions at scale. This role requires deep expertise in time-series forecasting, deep learning, and operations research combined with strong production experience in distributed and real-time systems. You will collaborate closely with Product, Engineering, Marketplace, and Operations leaders, ensuring ETA becomes a core competitive advantage in Careem’s Everything App.

What You'll Do

1. ETA Vision & Architecture Ownership

• Define and own the long-term technical vision for ETA systems across Food and Groceries.
• Architect scalable, multi-stage pipelines.
• Design probabilistic and stochastic modeling approaches with uncertainty calibration and reliability guarantees.
• Establish modeling standards and best practices for ETA across the organization.

2. Advanced Modeling & Algorithm Development

• Develop and deploy production-grade ML systems leveraging:
• Deep learning architectures
• Time-series forecasting
• Graph-based and routing-aware models
• Operations research techniques
• Build models robust to marketplace volatility and supply-demand shifts.
• Optimize for both point accuracy and distributional correctness (confidence intervals, tail control).
• Continuously improve system performance under high traffic and low-latency constraints.

3. Production Systems & Real-Time Inference

• Design and deploy scalable real-time inference pipelines.
• Ensure model reliability, monitoring, alerting, and graceful degradation under load.
• Collaborate with Data Platform and ML Ops teams to productionize models using Spark, Trino, Python, and distributed frameworks.
• Lead model lifecycle management, retraining strategies, and performance tracking in live environments.

4. Experimentation & Marketplace Impact

• Define clear evaluation frameworks aligned with business metrics (conversion, cancellations, fulfillment efficiency, customer trust).
• Design and run controlled experiments to measure ETA improvements and marketplace impact.
• Drive measurable improvements in operational efficiency and user experience through data-driven insights.

5. Technical Leadership & Cross-Team Influence

• Lead cross-team architectural discussions.
• Conduct design reviews and raise the technical bar for modeling quality and system robustness.
• Mentor senior data scientists and engineers in advanced ML and modeling techniques.
• Contribute to Careem’s applied AI community through technical talks, documentation, and research initiatives.
  
  

What You'll Need

• 8+ years of experience in Applied Machine Learning or Data Science, with significant experience building large-scale production systems.
• Advanced degree in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field.
• Proven expertise in:
• Time-series forecasting
• Deep learning
• Stochastic modeling
• Operations research and optimization
• Strong experience building and deploying high-load, low-latency ML systems.
• Hands-on proficiency in Python, Spark and ML frameworks.
• Experience with real-time inference systems and model monitoring in production.
• Strong understanding of experimentation, A/B testing, and causal inference.
• Demonstrated ability to drive architectural decisions across teams.
• Excellent communication skills and ability to translate complex modeling trade-offs into business impact.
  
  

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the Role

As a Staff Data Scientist I – Matching, you will own the end-to-end matching and dispatch architecture for Careem’s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.

This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.

What You'll Do

1. Matching & Dispatch Architecture Ownership

• Design and own the end-to-end matching and dispatch systems for Food & Groceries.
• Architect scalable assignment frameworks incorporating:
• Static and dynamic assignment
• Online matching under uncertainty
• Batch and pooling optimization
• Continuous re-optimization with dynamic events
• Establish robust optimization standards and best practices across the organization.

2. Multi-Objective Optimization & Algorithm Development

• Formulate and implement multi-objective optimization models balancing:
• Cost minimization
• SLA compliance
• Marketplace efficiency
• Develop and deploy:
• Min-cost flow and assignment models
• Graph-based optimization frameworks
• Custom solvers and OR-Tools based solutions
• Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
• Continuously refine matching quality under high-scale marketplace conditions.

3. Real-Time Systems & Production Delivery

• Build production-grade real-time matching systems using Python, Spark, and Trino.
• Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
• Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
• Lead performance monitoring, diagnostics, and system optimization.

4. Experimentation & Impact Measurement

• Define evaluation metrics aligned with marketplace and operational objectives.
• Design and run controlled experiments to quantify matching improvements.
• Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
• Ensure decisions translate into measurable improvements in efficiency and SLA performance.

What You'll Need

• 6–8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
• Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
• Strong expertise in:
• Optimization and assignment algorithms
• Graph modeling and min-cost flow problems
• Multi-objective optimization
• Dynamic and online decision systems
• Hands-on experience with OR-Tools or custom optimization solvers.
• Proficiency in Python, SQL, Spark, and distributed data systems.
• Experience building real-time or near-real-time decision systems.
• Strong understanding of experimentation and performance evaluation in marketplace systems.
• Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

The Mission
We believe the transformative potential of AI is significantly under-realised in our region. To bridge this gap, we are incubating a new division within Careem dedicated to Enterprise AI Transformation. 
We are reimagining and building the future of work to simplify and improve how businesses function in the era of GenAI with WorkOS: a next-generation ‘operating system’ designed to deploy, orchestrate, and improve AI agents across every customer and operational journey (and increasingly autonomously). This isn’t just automation; it’s about creating a hybrid workforce where self-learning AI agents handle the heavy lifting, empowering our people to focus on the highest-value, most creative work.

The Team
This group operates as a startup within Careem with a distinct mandate: move fast, build boldly, and deliver production-grade AI systems that fundamentally change how the region leverages technology. 

The Opportunity
We are looking for an exceptional founding Backend Engineer to build the WorkOS platform. This is a role for a systems-thinker who wants to work at the intersection of high-scale distributed systems and AI orchestration. You will be responsible for building the "brain" of WorkOS, the engine that deploys and manages autonomous agents across the region’s most complex operational journeys at massive scale.

As one of the first engineers in WorkOS, you will have a disproportionate impact on our technical foundation, culture, and the speed at which we move from 0 to 1.

What You’ll Do

• Architect and Build the WorkOS Engine: Design and build the scalable backend services and architectures required to orchestrate complex AI workflows and real-time data streaming. Leverage novel technologies to build cutting-edge capabilities. 
• Set the Engineering Gold Standard: As a founding member, you will establish our backend best practices, from CI/CD and observability to security and system integrity, ensuring a high-velocity but rigorous engineering culture.
• Solve for Distributed Complexity: Navigate the unique challenges of integrating AI agents into legacy enterprise stacks, ensuring low-latency communication and robust data consistency.
• Database design: Build our data infrastructure, leveraging relational, schemaless, and vector stores to power the platform and create persistent brains for our Agents. 
• Full-Cycle Ownership: Own the lifecycle of the platform, from rapid prototyping of new agent capabilities to maintaining production-grade systems at enterprise scale.
• Drive AI-Accelerated Engineering: Constantly experiment with AI-assisted development to move faster than traditional teams, while maintaining a bar for superb technical quality and craft.
• Lead Pioneer Deployments: While building the core platform, you will occasionally lead the charge on first-of-their-kind implementations for strategic partners, ensuring our tech solves real-world operational complexity.
• Operate with High Agency: In this lean, startup-style environment, you will be responsible for outcomes over inputs, rolling your sleeves up to code and balancing investments in the long-term technical roadmap with the need to ship value quickly.

What You’ll Need: 

• 8–12+ years of professional backend engineering experience, with significant tenure acting as a Staff Engineer or Technical Lead for complex, high-scale distributed systems.
• Mastery of Backend Systems: Deep expertise in languages like Python, Go, or Node.js, with a proven track record of architecting concurrency, microservices, and high-throughput data pipelines.
• AI-Native Infrastructure Depth: Hands-on experience with LLM orchestration (LangChain, etc.), vector databases (Pinecone, Milvus), and RAG architectures at a production-grade level.
• Systems-Level Visionary: The ability to design "platform-first", thinking in terms of APIs, modularity, and extensibility so that the WorkOS core can support infinite customer use cases.
• Obsession with Performance: A specialist's focus on latency and system observability; you believe that AI interactions must feel "instant" and "bulletproof" to be valuable.
• Startup-level Autonomy: Comfortable navigating a "0-to-1" environment where you define the technical roadmap and ship high-quality code without a playbook.
• Willingness to work on-site full time in UAE, to foster the high-intensity collaboration required for this incubation phase.
• Experience with enterprise software transformation or legacy system integration is a significant plus.

What You’ll Receive:

• A Blank Canvas and Live Ammunition: The rare opportunity to build a "0-to-1" product while immediately deploying it into the real-world operations of a regional giant. No "sandbox" projects here, you’ll be shipping code that moves people and goods on day one. This is a huge opportunity to create impact in our region. 
• Architecting the Engine: We’re a lean, impact-obsessed team operating with total autonomy. You’ll be free from corporate bureaucracy and legacy baggage, focused entirely on building the core orchestration layer and agentic frameworks that will serve as the "brain" of the region’s enterprises.
• Direct Collaboration with Leadership: Direct engagement with Careem and enterprise client leadership, in addition to working side-by-side with the WorkOS founding team including Magnus Olsson (Careem’s original Co-founder). 
• Competitive Compensation: Including direct equity in this new division. Our philosophy is meritocratic: we want you to own a meaningful stake in the value you create.