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

Solution Consultant – Enterprise Accounts 

At Anaplan, we believe the most powerful business transformations are led by people who are relentlessly curious and brave enough to challenge the status quo.  We are looking for a highly experienced technical strategist and innovator who enjoys solving business problems with enterprise AI solutions. This isn't about demoing software; it's about architecting a new future for how the world's leading companies plan, decide and act. 

Job Description 

As a core Solution Consultant, you will join our presales team supporting some of our largest enterprise customers.  You will be responsible for all aspects of the technical sales process by working directly with customers and collaborating with sales, domain specialists, business value consultants, product managers, customer success, and partners. Fundamentally, a core understanding of FP&A or Financial Transformation, Supply Chain domain or Workforce planning will make you stand out to the Anaplan hiring team. 

Why this Role Matters 

• Decision Making is moving fast in the AI era. Business leaders are no longer looking for just cost control—they need forecasting automation, cross-functional alignment, and real-time insights. You’ll help them get there. 
• You’ll work with decision-makers at leading enterprise organisations, influencing outcomes that impact thousands of employees and billions in revenue.
• You’ll be working on the cutting edge of innovation to bring to life our vision of AI-driven scenario planning and analysis across a connected enterprise. 

Your Responsibilities and Impact 

• Partner with account executives on technical strategy and sales process for accounts in your territory. 

• Be the technical solution expert across platform capabilities, including AI, data modelling and planning applications. 

• Lead discovery sessions that move beyond features and functions to uncover critical business needs. 

• Design and deliver tailored, narrative-driven demos that directly address customer pain points and showcase a clear vision for their future. 

• Execute proof-of-concept workshops that prove Anaplan's value in the customer’s own context. 

• Serve as the voice of the customer to our product management teams, ensuring your insights from the field shape the future of the Anaplan platform. 

• Coordinate and align specialist and product teams to help position multi-product solutions and mature complex opportunities to close. 

• Develop a multi-year technology vision and roadmap with your customers in cooperation with the Anaplan Customer Success team. 

Your Qualifications 

• Experience in a presales, FP&A or FCR, Supply Chain or Workforce Planning solution consulting, or business transformation role (SaaS/enterprise software preferred). 

• Know how to collaborate with account executives and own the technical sales process, including account strategy, discovery, demos, solution roadmaps and other technical validation steps. 

• Strong grasp of value-based selling and storytelling, not just showing features and functions. 

• Skilled with problem solving at the intersection of technology and business. 

• Proven ability to make complex ideas sound simple, clear, and persuasive with experience in public speaking. 

• Knowledge of enterprise AI platforms, GenAI, Agentic frameworks, machine learning, and data integration. 

• Hands-on experience with enterprise planning processes and solutions (e.g. Finance, Supply Chain, Workforce, Sales Performance) preferred 

• Familiarity with EPM, CPM, BI, or ERP systems is a strong asset 

• Prior industry experience with aligned accounts a plus 

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.

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

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 Team

You’ll work across the domains of Platform and Rides—two high-impact product domains at Careem—collaborating with cross-functional peers in Product, Engineering, Design, Research, and Data to shape the end-to-end customer journey. This is a unique opportunity to impact both vertical-specific and platform-wide experiences at Careem.

About the Role

As a Senior Product Manager, you’ll lead critical customer journeys that define how users interact with Careem—from booking a ride to tracking an order. Depending on business needs, you will either:

• Own the in-ride experience (Rides) including booking creation, captain discovery, and live tracking; or
  
  
• Own the multi-vertical Activities layer (Platform) which powers shared experiences like order tracking and cross-device interactions.
  
  

You’ll work at scale, balancing deep customer empathy with product intuition and technical fluency.

What You’ll Do

• Lead product strategy and execution for customer journey experiences across verticals.
  
  
• Define and continuously improve flows such as ride creation, order tracking, and delivery visibility.
  
  
• Work hands-on with designers, engineers, analysts, and researchers to craft seamless experiences.
  
  
• Own product KPIs related to engagement, retention, and journey completion.
  
  
• Drive decision-making using insights from experiments, dashboards, and qualitative feedback.
  
  
• Prioritize ruthlessly, navigate trade-offs, and deliver high-quality outcomes in a fast-moving environment.
  
  

What You’ll Need

• 9–12 years total experience, including senior-level product management experience in B2C tech.
  
  
• Exceptional communication skills—able to structure ambiguity, write clearly, and lead discussions.
  
  
• Strong product thinking with a sharp user focus.
  
  
• Ability to collaborate with engineers, interpret data, and drive complex feature sets end-to-end.
  
  
• Fluency in SQL or data analysis tools to work autonomously on performance insights.
  
  

Nice to Have

• Background in UX design or UX research.
  
  
• Experience working across multiple verticals (e.g., rides, food, groceries).
  
  
• Exposure to platform layers or shared user experiences across services.
  
  
• Interest or experience with AI/ML product use cases, though not required.
  
  

Preferred Background

We’re looking for experienced consumer product managers with a track record of building user-centric experiences in large-scale, multi-vertical platforms. Candidates should have deep experience working in high-scale B2C environments and delivering customer-facing products across complex operational domains.

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.

Calling senior technology leaders to shape the future of engineering in the Middle East!

Are you a senior tech leader with deep roots in the Middle East, looking for a way to bring your global experience back to the region? Have you been considering a move, driven by a desire to make a lasting impact?

At Careem, our journey started with a simple purpose: to simplify and improve the lives of people in the Greater Middle East. From our beginnings as a ride-hailing service, we’ve grown into the region’s first Everything App, but our mission remains the same. We’re not just a tech company; we’re a team of builders, dreamers, and doers, working to create a better future for our region.

We’re looking to connect with senior tech professionals like you. If you’ve built and scaled complex engineering systems, platforms, or infrastructure in high-growth tech environments, we want to hear from you. Your expertise is exactly what’s needed to shape the future of engineering culture and technical foundations in the region.

We’re particularly interested in leaders who:

• Lead Internal Engineering Initiatives: Design and build scalable, secure, and maintainable systems that accelerate engineering productivity and reliability across Careem.

• Architect Scalable Solutions: Define system architecture for complex backend systems with a focus on performance, modularity, and extensibility, leveraging deep expertise in Java, Golang, and modern platforms.

• Drive Impact in Data & AI: Apply machine learning, platformization, and agentic AI innovation to unlock new capabilities and improve customer experiences at scale.

• Product Mindset & Strategic Influence: Shape roadmaps and drive technical decisions with a product-centric mindset, ensuring solutions directly impact customer and business outcomes.

• Technical Excellence & Culture: Uphold high standards in code quality, system design, testing, and operational excellence while nurturing a strong engineering culture across MENA.

• Mentorship and Knowledge Sharing: Mentor engineers across teams, foster continuous learning, and grow technical leadership capacity within the organization.

• Efficiency and Automation: Streamline workflows and reduce toil through automation in CI/CD, observability, and configuration management.

• Cross-functional Collaboration: Partner with platform, infrastructure, product, and security teams to deliver robust and aligned solutions.

• Long-term Vision & Purpose: Contribute to Careem’s mission of shaping the future of mobility, fintech, and everyday services in the region by building lasting technical foundations

This is your chance to use your skills and experience to truly make a difference. We are creating an Everything App that will have a massive positive impact on our communities. We're creating income opportunities for our Captains and simplifying daily life for our customers.

This is more than a job. It's an opportunity to lead a mission that matters.

Ready to shape the future of the Middle East?

Position Overview: The Technical Client Account Manager will be responsible for ensuring that our clients achieve their desired outcomes and realize the full value of our solutions and services. This role combines customer advocacy, technical expertise to enhance customer engagement and retention in a competitive market and also has a sales mindset for revenue expansion in the region.

Key Responsibilities:

• Customer Onboarding: Own the onboarding process, ensuring that customers are effectively integrated and trained on our solutions.
• Relationship Management: Foster strong relationships with key customer stakeholders, acting as a trusted advisor to understand their needs and challenges.
• Proactive Engagement: Monitor customer health metrics and proactively address issues, providing guidance on best practices and optimization strategies.
• Conduct Business Reviews: Quarterly Business Reviews (QBRs) and Annual Business Reviews (ABRs) to assess and enhance customer engagement.
• Internal Collaboration: Work closely with sales, product, and technical teams to ensure a seamless customer experience and to gather feedback for product improvement.
• Technical Expertise: Demonstrate value - Triage customer portals on a regular basis and share critical threats reports.
• Customer Advocacy: Serve as the voice of the customer within the organization, advocating for their needs and ensuring alignment with our business objectives.
• Reporting and Metrics: Establish and track key performance indicators (KPIs) to measure the success of customer success initiatives and report on customer health and satisfaction. Lead and conduct business reviews.
• Revenue target: Ensure timely renewals and carry targets for regional NRR achievement and expansion quota. Identify and drive upsell and cross-sell opportunities through consultative engagement and by demonstrating the ROI of CloudSEK’s solutions.
• Maintain partner relationships: Collaborate with the partners for smooth renewal and develop a winning strategy for revenue expansion.
• Customer Engagement: Organize customer engagement events in collaboration with the marketing team.

Qualifications:

• Proven experience in customer success and client account management in the cybersecurity industry.
• Strong understanding of cybersecurity concepts, technologies, and market trends.
• Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
• Strong negotiation skills
• Analytical mindset with the ability to derive insights from data to drive decisions and improvements.
• Strong problem-solving skills and the ability to manage multiple priorities in a fast-paced environment.
• 5+ years experience in cybersecurity, client facing roles
• Bachelor’s degree in Cybersecurity, Technology is preferred