As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Description
The Cloud team at Lucid Motors is currently seeking a Senior Site Reliability Engineering (SRE) Manager for leading the reliability, scalability, and
operational excellence of Lucid Motors’ cloud infrastructure and production services. This role combines hands-on technical leadership with people
management, ensuring systems are highly available while developing and empowering a team of SRE engineers.

Responsibilities
• SRE Leadership & Reliability Ownership
o Own the availability, performance, and reliability of cloud services deployed and operated in KSA.
o Define, implement, and track SRE best practices, including SLIs, SLOs, SLAs, and error budgets.
o Lead the architecture and governance of highly available and disaster-resilient systems, ensuring DR strategies are tested and
maintained.
o Drive capacity planning, auto-scaling, and performance tuning across Kubernetes-based platforms.
o Own monitoring, observability, and alerting using Prometheus, Grafana, and logging platforms.
o Lead incident response, impact assessment, and root-cause analysis for complex production issues.
• Team Management, Mentorship & Growth
o Manage a team of SRE engineers, providing technical direction, career coaching, and performance feedback.
o Review and approve infrastructure code, deployment configurations, automation scripts, and SRE tooling.
o Foster a culture of ownership, learning, blameless postmortems, and continuous improvement.
o Lead hiring, onboarding, and skill development initiatives for the SRE function.
o Ensure fair, sustainable, and well-documented on-call rotations.
• Cloud Platforms & Automation
o Oversee production environments on Oracle Cloud Infrastructure (OCI) and AWS.
o Govern Infrastructure-as-Code practices using Terraform and configuration management tools.
o Lead CI/CD strategy and implementation using ArgoCD, Jenkins, Maven, Docker, and GitLab.
o Ensure secure and reliable deployment of microservices and data pipelines on Kubernetes using Helm.
• Platform Services & Data Systems
o Collaborate closely with Product Owners, Engineering Managers, Security, and Architecture teams.
o Oversee the reliability and scaling of platform services such as Kafka, Spark, Trino, Airflow, MQTT, and microservices ecosystems.
o Ensure stable operations of NoSQL and RDBMS systems including ElasticSearch, MongoDB, PostgreSQL, and MySQL.
o Support distributed data processing and messaging systems, addressing performance and scalability challenges.

Requirements and Skills

• B.S. or M.S. degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering.
• 2–4 years of experience managing or leading SRE/DevOps engineers.
• Strong hands-on experience with OCI and AWS cloud platforms.
• Solid expertise in Kubernetes, Terraform, CI/CD pipelines, and cloud-native architectures.
• Proficiency in Python, Go, Bash/Shell, or similar languages.
• Strong Experience with incident management, observability, and performance optimization.
• Fluent in English, with experience collaborating across regions and time zones.
• Experience scaling SRE practices across multiple teams or services.
• Familiarity with compliance, security, and regulated cloud environments.

Summary:

The Cloud team at Lucid is currently seeking a Senior Site Reliability Engineering role. In this position, the individual will be responsible for providing
reliability to the cloud infrastructure that enabled Lucid Motors' cloud-based services and internal systems.

Responsibilities:

• Provide Reliability Engineering to cloud services deployed and managed in the region of KSA.
• Continuous delivery (CI/CD) using ArgoCD, Jenkins, Maven, and Docker.
• Architect cloud systems in highly available design, ensuring Disaster Recovery (DR) measures are in place.
• Containerization and deployment of microservices and data pipeline on Kubernetes using Helm installation.
• Advocate for a DevOps culture of automation and engineering best practices to enable development teams.
• Auto-scale and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools.
• Performing SRE activities such as availability and reliability monitoring and reports.
• Deploy, configure and maintain tools such as Kafka, Spark, Trino, Airflow, MQTT, and Microservices.
• Setting up infrastructure as a service using Terraform.
• Work and deploy using the codebase repositories in GitLab, along with participation in the peer review activities.
• Support No-SQL databases such as Elastic Search, Mongo, Cassandra, and other open sources services.
• Setup and monitor various applications and services. Continuously enhance the alerts and automate the recovery process.
• Articipate in the on-call rotation to keep up the service SLA per the business needs.
• Work with Product Owners, engineering managers, and other team members in Agile Scrum and Kanban mode.
• Take appropriate actions by doing impact analysis during the incidents.

Requirements and Skills:

• B.S. or M.S. degree in Computer Science, Engineering, or equivalent field.
• Can speak English fluently to communicate with teams across geographical regions.
• +6 years of experience in SRE or DevOps Engineering.
• +5 years of experience deploying and maintaining systems on Oracle cloud (OCI), and Amazon web services (AWS).
• +3 years of experience in Terraform.
• +3 years of experience in Kubernetes.
• +3 years of experience with tools such as Jenkins, ArgoCD, etc. to build automation and CI/CD pipelines.
• Professional experience in Programing or scripting languages using Python, Go, Bash/Shell, or others.
• Experience in administrative operations knowledge in RDBMS (e.g. PostgreSQL, MySQL), and NoSQL databases (e.g. MongoDB).
• Moderate experience in distributed computing for running data systems using Spark, Hive, Zookeeper, and Kafka.
• Moderate experience in debugging tools and troubleshooting performance bottlenecks at the infrastructure or at the application tier.
• Good to have experience with Config Management using Ansible, Chef, Puppet, or others.

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

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

SHOULD YOU ACCEPT THIS CHALLENGE…

As a Technical Design Architect (Active Cluster & Cloud) (TDA-ACC), you will utilize your strong technical competencies in the field of replication, clustering, cloud offerings as well as data migrations, to provide the highest level of implementation capability and technical consultation to both customers and Pure sales teams to support sales goals. You will work on cross-functional teams including Sales, Product Marketing, Business Development Managers, Services and engineering to scope and help sell Professional Services solutions for homogeneous and heterogeneous solutions to customers/partners. You will become intimately acquainted with the customer’s/partner’s business requirements, technical needs, systems, environment and service history, enabling you to present targeted solutions to our customer base. You will build replication, clustering and migration solutions for our customers and will be expected to be a member of the hands-on team delivering these services across EMEA. The role covers pre-sales and delivery functions, and you will be comfortable with performing either role as demand dictates.You will possess a thorough understanding of IT architecture, designing solutions, networking and implementation of these solutions and must have significant experience across different replication technologies, clustering, cloud and data migration solutions. You will also be experienced in delivering large scale and complex projects utilising all the mentioned offerings and will also be skilled in scripting to enable automation of these processes where appropriate.

THE ROLE...

TDAs work with customers, sales teams, engineering and Everpure partners to:

• To understand prospect’s technical needs related to a specific market or specific product (i.e. block, virtualized, file solutions, clustering, replication best practice, disaster recovery, business contingency).
• In a post-sales consultative role to support the implementation of the professional services solution that was scoped and subsequently sold.
• To provide technical consultation/education to the sales teams and keep them apprised on new replication offerings and data migrations solutions.
• Participate in customer evaluations and proof of concepts on Pure systems
• Advise and consult on engineering developments and strategies for replication, clustering and data migrations, ensuring these solutions meet and integrate into our clients DR and BCP best practices.
• Plan, conduct and direct projects to support sales efforts and address future customer needs
• Evaluate partner proposals for migration services to ensure they deliver quality and value for money to Pure.
• Deliver replication, clustering and migration solutions to our customers, either as a sole resource or member of a team.
• Develop scripts for both integration of Pure storage into a customer’s operational environment and the automation of replication, clustering, cloud and data migrations.

WHAT YOU’LL BRING…

• Flash Array experience / Replication technologies (Active Cluster or similar)
• Amazon AWS, Microsoft Azure and other cloud-based offerings.
• Data Center Migrations/Consolidations/Toolsets
• Networking concepts and high-level designs
• Cirrus Data Solutions Appliance (or Appliance based solutions for migrating block data)
• Virtualisation Tools - Cisco/Microsoft/VMWare (Cloud solutions)
• Proven experience of scripting languages such as Perl, Shell, Powershell, Visual Basic, Python.
• Networking infrastructure (Nexus / ACI / Broadcom / Brocade) 
• Security/Firewalls
• Other technical platform or infrastructure migration tools such as Logical Volume Manager (LVM), Datadobi, StorageX, Open Replicator.
• Data Center Migration Implementations for block and file.
• Multi-vendor server and storage platforms and performance tuning experience.
• Windows, AIX and Linux Operating systems
• Hyper-V and VMWare ESX (vRA / SRM)
• Amazon AWS, Microsoft Azure and other cloud-based offerings.
• Disaster Recovery, Replication, Backup technologies (Zerto / Veeam / Rubrik / Veritas NBU)
• Preparation and delivery of technical and architecture solution
• Contribute significant portions for data migration solutions to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• UNIX OS, NFS file systems and UNIX distributed network environment
• Knowledge of Local Area Networking, Ethernet, TCP/IP and general networking
• Excellent verbal and written communication skills, any languages are a definite benefit (Arabic)
• Team leadership skills
• BS in CS, EE or other technical degree and/or equivalent experience.

#LI-ONSITE

The Position 

We are seeking a highly skilled and customer-focused Technical Account Manager (TAM) to join our growing cybersecurity team. In this role, you will act as a trusted technical advisor to our enterprise customers, owning the post-sales relationship, supporting deployments, and ensuring successful integration and operation of our cybersecurity solutions. 

You will bridge the gap between customer needs and our product capabilities, working closely with our Sales Engineering, Support, Product, and Customer Success teams.

What You Will Be Doing 

• Serve as the primary technical point of contact for assigned enterprise clients. 

• Lead and support the hands-on deployment, configuration, and optimization of cybersecurity solutions on client environments (cloud, hybrid, and on-premises). 

• Conduct on-site visits to assess environments, guide implementation, and deliver technical workshops or training sessions. 

• Proactively manage customer technical health – monitor performance, troubleshoot issues, and ensure ongoing operational excellence. 

• Develop a deep understanding of customer infrastructure, use cases, and security posture to provide strategic guidance and best practices. 

• Collaborate with internal engineering and product teams to relay customer feedback and advocate for feature requests or enhancements. 

• Participate in incident response and post-mortem activities when escalations occur. 

• Create and maintain technical documentation, runbooks, and environment overviews. 

What We Need From You 

• 5+ years of experience in a customer-facing technical role (e.g., TAM, Sales Engineer, Solutions Architect, Security Consultant). 

• Strong technical background in cybersecurity tools and principles, including areas like endpoint protection, SIEM/SOAR, firewalls, identity & access management, or cloud security. 

• Hands-on experience with system integration, scripting (Python, PowerShell, Bash), and working in Linux/Windows environments. 

• Comfortable leading deployments and technical troubleshooting on customer sites. 

• Knowledge of cloud platforms (AWS, Azure, GCP) and their security ecosystems. 

• Hands-on experience with system integration, scripting (Python, PowerShell, Bash), and working in Linux/Windows environments. 

• Excellent communication skills – able to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. 

• Ability to manage multiple client accounts and prioritize competing demands. 

• Strong documentation skills and a disciplined approach to knowledge sharing. 

It Would Be Nice If You Had  

• Industry certifications such as CISSP, CISM, CEH, OSCP, or vendor-specific certs (AWS Security Specialty, Microsoft SC-200, etc.). 

• Experience with modern DevSecOps tools and CI/CD pipelines. 

• Familiarity with data privacy and compliance frameworks (e.g., GDPR, HIPAA, NIST, ISO 27001). 

• Experience working in high-availability or mission-critical environments. 

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 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 Machine Learning Engineer on a builder track.

This role is for someone who wants to take ML from “cool idea” to “running in production”. You will work across data, modeling, and software engineering to build, deploy, and operate models that improve customer experience, reduce risk, and unlock operational efficiency.

With the advancement of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, safety, privacy, and performance.

Your responsibilities

• Build and ship ML systems
  • Develop and deploy ML models and services that solve real business problems.
  • Write production-quality code, tests, and documentation.
• Own the full model lifecycle
  • Help with data understanding, feature creation, training, evaluation, and iteration.
  • Set up offline and online evaluation, and monitor performance after release.
• Make ML reliable in production
  • Improve model serving reliability, latency, and cost.
  • Implement monitoring for data drift, model drift, and key quality metrics.
  • Participate in incident response and postmortems when needed.
• Work with data and platform teams
  • Partner with data engineers and platform engineers on pipelines, event-driven signals, and data quality.
  • Use event streaming patterns when appropriate (near-real-time features, online scoring, CDC signals).
• Build tools that help others move faster
  • Contribute to reusable training and serving components (templates, libraries, CI/CD, feature pipelines).
  • Help enable safe self-serve ML and AI usage across teams.
• Use AI tools thoughtfully
  • Use AI to accelerate prototyping, debugging, documentation, and test generation.
  • Validate outputs, document assumptions, and protect sensitive data.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships and projects count).
• Solid programming fundamentals in Python (preferred) or another language used for ML systems.
• Strong fundamentals in:
  • Data structures and algorithms (enough to write efficient, reliable code)
  • Probability and statistics basics
  • ML fundamentals (supervised learning, overfitting, validation, metrics)
• Comfort working with data using SQL and/or Python.
• A problem-solving mindset and curiosity to learn quickly.
• Clear communication and a collaborative approach.

Nice to have

• Experience with common ML libraries (scikit-learn, PyTorch, TensorFlow) through coursework or projects.
• Familiarity with model deployment patterns (APIs, batch scoring, streaming/online scoring).
• Exposure to MLOps concepts (experiment tracking, model registry, CI/CD, monitoring).
• Familiarity with cloud (GCP/AWS) and containers (Docker) is a plus.
• Understanding of responsible AI and privacy (PII handling, access control, evaluation).
• Experience using AI assistants responsibly for coding and analysis.

What success looks like

• You ship at least one end-to-end ML improvement (model, feature, or service) that runs reliably.
• You can explain model performance clearly: what improved, what did not, and why.
• Monitoring is in place for your models, and you react quickly when metrics drift.
• You reduce manual effort for the team by adding a reusable component, template, or automation.

Job Summary:

We are seeking a Purple Teaming Engineer with hands-on experience in both offensive and defensive security, with a focus on embedded systems. 

The ideal candidate will have practical experience with SOC operations, adversary simulation, detection engineering, and security testing across embedded or cloud-connected systems.

You will play a key role in executing threat emulation, automating adversary TTPs, and enhancing detection capabilities in collaboration with Red and SOC team.

Experience with vehicle SOC and security operations is a plus.

Key Responsibilities:

• Operationalize Purple Team and Attack Simulation exercises across embedded and cloud-connected systems.

• Develop and execute adversary simulation plans that align with threat intelligence.

• Collaborate with Red and Blue teams to identify detection gaps and improve SOC effectiveness.

• Identify relevant log sources across assets, ECUs, and infrastructure; document the type, location, and format of logs required for effective cybersecurity anomaly detection.

• Regularly review the availability, completeness, and integrity of logs; highlight gaps and work with asset/ECU owners to ensure alignment with best security logging practices.

• Share recommendations with system and asset owners on required logging improvements, event visibility, and adherence to secure logging practices.

• Support offensive testing across RTOS, Linux, Android, and MCU-based systems. 

• Draft and present technical reports and summaries of Purple Team activities to technical and management stakeholders.

• Communicate findings, detecting weaknesses, meeting the logging requirements and prioritized remediation strategies. Collaborative Objectives:

• Work closely with SOC & Red teams to convert threat intel into actionable TTPs and test cases.

• Support SOC operations and help validate detection logic with real-world simulations.

• Assist in control validation, SIEM optimization, and threat modeling automation.

• Provide mentorship to junior team members on simulation workflows and embedded systems.

• Contribute to the ongoing development of the team’s offensive and defensive testing capabilities.

Required Qualifications:

• Bachelor's Degree in Cybersecurity, Information Security, Computer Science, or Information Technology and at least 5 years of professional experience.

3–6 years of combined experience in Red Teaming, SOC, detection engineering, or embedded security testing.

• Strong knowledge of MITRE ATT&CK, threat simulation tools, and detection principles.

• Experience working with embedded Linux, Android systems, RTOS, or MCU platforms.

• Familiarity with SIEM systems (e.g., Splunk, ELK), log analysis.

• Proficiency in scripting/automation using Python.

• Exposure to network security, including packet analysis and custom protocol fuzzing.

• Exposure with vehicle communications (CAN, UDS, DoIP, BLE, MQTT, etc.).

• Strong technical writing and communication skills for documentation and stakeholder engagement. Preferred Qualifications:

• Experience in vehicle cybersecurity/SOC or embedded threat detection.

• Familiar with tools like Burp Suite, Ghidra, Binwalk, or custom fuzzers.

• Experience simulating or detecting low-level attacks, including firmware tampering, memory corruption, and secure boot bypasses.

• Understanding of cloud security architecture related to embedded platforms.

• Working knowledge of SIEM solutions, telemetry pipelines, and threat hunting frameworks.

At Black Duck, we redefine software security by equipping businesses with robust solutions to protect their applications. Our approach goes beyond traditional testing, offering tailored services and tools that enable enterprises to identify, remediate, and prevent vulnerabilities effectively.

We are looking for a Sales Engineer based in Riyadh who thrives in Pre-Sales and sales support, helping drive customer adoption and successfully close opportunities. Fluency in both Arabic and English is essential for this role.

Your Impact in Pre-Sales & Sales Support

• Strategic Opportunity Qualification – Collaborate with account executives to assess prospects, understand business challenges, and identify high-potential opportunities for Black Duck solutions.
• Engagement & Relationship Building – Build trusted relationships with technical stakeholders and decision-makers to position Black Duck as the preferred security provider
• Value-Based Selling & Competitive Positioning – Communicate the unique advantages of Black Duck’s offerings through compelling narratives that address customer pain points and demonstrate ROI.
• Product Demonstrations & Proof-of-Concepts – Deliver tailored technical presentations, live demos, and hands-on proof-of-concept sessions to showcase solution fit.
• Technical Objection Handling – Address concerns proactively, validate technical feasibility, and offer alternative solutions that reinforce our value proposition.
• Proposal & Solution Development – Work with internal teams to develop technical proposals, architecture recommendations, and security strategies aligned with customer needs.
• Pilot Programs & Evaluation Support – Guide customers through trials and proof-of-concept initiatives to ensure they experience the full value of our technology.
• Sales Enablement & Deal Acceleration – Provide pre-sales insights that drive urgency, reinforce technical fit, and accelerate deal closure.
• Thought Leadership & Industry Engagement – Represent Black Duck at conferences, webinars, and community forums, showcasing expertise in application security.

What You Bring to the Role

• Proven experience in Pre-Sales, Sales Engineering, or Technical Consulting
• Strong background in software development (e.g., C/C++, Java, Python, C#, JavaScript, etc.)
• Solid understanding of software security tools and methodologies (certifications like CEH, CISSP, or CSSLP are a plus)
• Excellent communication and presentation skills in both Arabic and English
• Customer-focused, results-driven, and passionate about solving security challenges
• Willingness to travel occasionally within Saudi Arabia

Key Responsibilities

• Develop and deploy AI, machine learning, and generative AI solutions.
• Build AI-powered tools such as chatbots, copilots, and workflow automation.
• Prepare and process data for model training, testing, and deployment.
• Integrate AI models into products and internal systems through APIs.
• Fine-tune, evaluate, and monitor model performance.
• Work closely with Product, Engineering, Data, and business teams to identify AI use cases.
• Ensure AI solutions follow data privacy, security, and governance standards.
• Document AI models, workflows, and technical designs.

Requirements

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field.
• 2–5 years of experience in AI, machine learning, data science, or software engineering.
• Strong Python programming skills.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of LLMs, NLP, embeddings, vector databases, and RAG.
• Experience with APIs, cloud platforms, and production deployment.
• Strong problem-solving and collaboration skills.

Preferred

• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience with LangChain, LlamaIndex, Pinecone, FAISS, or similar tools.
• Experience in fintech, banking, payments, or regulated environments.

About the Role

The Enterprise Architect is responsible for designing, documenting, and leading the implementation of technical solutions for customers following the sale of Veeam products. This role bridges customer business requirements with Veeam’s technology, ensuring solutions are scalable, secure, and aligned with best practices, while also supporting partner-driven implementations.

The position involves technical leadership, customer consultation, and collaboration with internal teams to deliver successful outcomes—particularly for large enterprise customers undergoing digital transformation.
Beyond direct design and delivery, the Enterprise Architect develops reference architectures and design guidelines that standardize deployments across both customer-led and partner-led projects. Additionally, they collaborate with pre-sales teams to ensure a smooth transition from initial solution design to implementation.

What You’ll Do

Technical Discovery & Analysis

• Conduct technical discovery sessions with customers to assess their existing IT landscape and requirements.
• Identify opportunities for improvement and architecture enhancements based on Veeam solutions.

Solution Design, Documentation & Reference Architectures

• Design both high-level and detailed solution architectures tailored to customer environments.
• Create low-level design documents and detailed technical specifications to guide implementation teams.
• Develop and maintain reference architectures to standardize solution deployments across both direct customer implementations and partner-led projects.
• Prepare comprehensive technical documentation, including architecture diagrams, design specifications, and implementation plans
• Ensure solution designs adhere to security, compliance, and scalability best practices.

Project Definition & Estimation

• Work with Project Managers and stakeholders to define project scope, deliverable, timelines, and resource requirements.
• Provide level-of-effort estimations to support project planning and resource allocation.

Implementation Support & Technical Leadership

• Provide technical oversight during solution deployment and post-sales implementation.
• Assist in proof-of-concept (PoC) projects and technical workshops to validate solution architectures.
• Support and guide partner-driven deployments, ensuring they follow Veeam’s best practices and technical standards.
• Support troubleshooting efforts and resolve complex implementation challenges.

Collaboration & Stakeholder Engagement

• Work closely with Pre-Sales, Sales, and Customer Success teams to ensure a smooth handover from pre-sales engagements to deployment.
• Engage with customers, partners, and internal teams to ensure successful solution adoption.
• Serve as a trusted technical advisor, translating business objectives into effective technical strategies.
• Communicate technical details effectively with both technical and non-technical stakeholders

Continuous Improvement & Technology Innovation

• Evaluate emerging technologies (especially in containers, security, and hybrid cloud) to enhance solution architectures.
• Contribute to the development and update of internal best practices and technical standards. improving delivery efficiency and partner enablement.

What You’ll Bring

• IT experience, including in a solution architecture or technical leadership role.
• Deep expertise in data protection, backup & recovery, disaster recovery (DR), and cybersecurity.
• Hands-on experience with containers (Docker, Kubernetes) and container security in enterprise environments.
• Strong technical knowledge of virtualization (VMware, Hyper-V), cloud platforms (AWS, Azure, GCP), and storage systems.
• A record of leading transformation projects for large enterprise customers, ensuring technical solutions support business-wide digital evolution.
• Strong understanding of networking, security, compliance frameworks (ISO 27001, NIST, etc.), and IT governance.
• Excellent problem-solving, analytical, and communication skills with a strong ability to work with both technical and non-technical stakeholders.
• Experience working in a post-sales consulting, professional services, or solution delivery role with direct customer engagement
• Frequent collaboration with internal teams (Professional Services, Pre-Sales, Sales, Partners).
• Customer and partner engagement, ensuring alignment between business objectives and technical solutions.
• Potential travel to support global enterprise deployments (up to 50%)

Bonus Skills

• Experience with automation & scripting (PowerShell, Python).
• Familiarity with large-scale IT infrastructure deployments.
• Proven ability to work autonomously and drive innovation.
• TOGAF (or equivalent enterprise architecture certification) – preferred.
• Veeam VMCE – preferred.
• Relevant certifications in cloud, security, or virtualization, such as:
  • AWS/Azure Solutions Architect
  • VMware VCP
  • CISSP (Cybersecurity Certification)

Please note: If an applicant is permanently located outside of Saudi, Veeam reserves the right to decline the application for this position.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Role Summary

We are seeking a Lead SOC Validation & Adversary Simulation Engineer to strengthen the effectiveness of our Security Operations Center (SOC / VSOC) by continuously validating detections, response workflows, and telemetry using adversary-informed testing techniques.

This role is SOC-owned and SOC-driven. The primary objective is to improve detection fidelity, reduce blind spots, and increase SOC readiness across vehicle, cloud, and other environments. Adversary simulation and Purple Team techniques are used as methods to harden SOC operations not as standalone Red Team activities.

Key Responsibilities

1. SOC Detection Validation & Assurance (Primary Focus)

• Own continuous validation of SOC detections across:
• Vehicle telemetry and in-vehicle IDS
• Telematics and backend services
• Cloud APIs, and other supporting systems
• Validate alerts against realistic attacker behavior, not synthetic rules
• Identify:
• Detection gaps
• Signal quality issues
• Excessive false positives or low-value alerts
• Partner with SOC engineers to improve alert logic, correlation, and response playbooks
1. Adversary Simulation in Support of SOC
• Design controlled adversary simulations to test SOC capabilities:
• API misuse and abuse
• Lateral movement
• Unauthorized diagnostics or ECU access
• Align scenarios to MITRE ATT&CK (Cloud API + Automotive)
• Coordinate with Red Team only when advanced exploitation is required
2. SOC Telemetry & Signal Engineering
• Work with platform and product teams to:
• Improve log coverage and quality
• Define high-value security signals
• Reduce noisy or redundant telemetry
• Influence what gets logged, where, and why—from ECUs to cloud services
• Help SOC prioritize telemetry based on risk and detection value
3. Incident Readiness & Response Validation
• Validate SOC incident response workflows through:
• Detection-driven exercises
• Tabletop scenarios informed by real attack paths
• Measure and improve:
• Mean Time to Detect (MTTD)
• Mean Time to Triage (MTTT)
• Mean Time to Respond (MTTR)
• Ensure SOC procedures align with real attack timelines
4. Threat Modeling & Risk Alignment
• Leverage TARA / threat-modeling outputs to prioritize SOC coverage
• Ensure SOC monitoring aligns with:
• ISO/SAE 21434
• UNECE R155/R156
• Translate detection gaps into risk-based narratives for leadership and auditors
• Support audit evidence by demonstrating validated monitoring effectiveness
5. Automation & Continuous SOC Validation
• Build or enhance SOC validation automation, including:
• Detection testing frameworks
• Alert replay and validation pipelines
• Coverage and maturity dashboards
• Integrate validation workflows into:
• SIEM
• SOAR
• CI/CD where applicable
• Reduce manual SOC testing and increase repeatability
6. Metrics, Reporting & Leadership Communication
• Define SOC-focused KPIs such as:
• ATT&CK coverage by detection
• Detection efficacy over time
• Reduction in blind spots
• Produce clear SOC maturity and readiness reports
• Communicate findings to:
• SOC leadership
• Product security
• Engineering stakeholders

Required Qualifications

Technical Experience

• Cybersecurity with strong SOC, detection engineering, or incident response experience
• Deep understanding of:
• SOC operations and alert lifecycle
• Detection engineering and signal tuning
• Adversary techniques and kill chains
• Experience working with:
• SIEM and SOC tooling
• Cloud and API monitoring
• Network and system telemetry
• Strong scripting or automation skills (Python, Go, C)

Leadership & Collaboration

• Proven experience leading SOC improvement initiatives
• Ability to influence detection priorities across teams
• Strong written and verbal communication skills
• Comfortable presenting to leadership and auditors

About the Role:
This role interfaces with the client directly and is responsible for planning, scoping, and implementing the Dragos Platform in customer environments. Be part of a hands-on and onsite team at power plants, substations, manufacturing floors, and refineries (to name a few), while performing installations and assisting our customer partners in monitoring and safeguarding their infrastructure. 

*This is an onsite role located in Dammam, Saudi Arabia*

Responsibilities: 

• Collaborate with Dragos Sales and Solution Architect teams to understand customer use cases and success criteria 
• Works closely with client’s teams on network architecture, sensor placement, and integrations for the deployment of new sensors; coordinate and conduct deployments 
• Partner with client’s teams to refine applicable use cases and Dragos platform objectives 
• Tune and optimize Dragos platform to meet defined customer objectives 
• Develop content and build foundational workflows based on client use cases and value proposition 
• Monitor the health of the Platform solution to ensure continuous Platform availability and continuously tune and optimize the Dragos Platform 
• Coordinate upgrades, patches, and other configuration changes to the Platform solution 
• Provide knowledge transfer and training to enable key stakeholders, document processes 
• Provide troubleshooting and break/fix support for the Platform, manage escalations 
• Communicate roadmap of upcoming features and content with the client and conduct new release feature walkthroughs as needed 
• Continually solicit client feedback on feature requests and improvements 
• Coordinate and collaborate with other Dragos teams/services (Intel, Threat Hunting) 
• Identify opportunities for other Dragos products and services 

Qualifications: 

• 3+ years of ICS/OT experience, Cybersecurity experience a plus 
• Networking experience – Strong knowledge of IP networks, OSI model, Purdue model, and ICS protocols 
• Experience with Linux (command line), Docker, scripting languages (python, shell, etc.), SIEMs 
• Experience in on-premise and cloud software solutions for Enterprise while managing multiple stakeholders and projects 
• Customer-oriented and attentive to client needs, with strong interpersonal and communication skills 
• Willingness to travel up to 25% 

Compensation: 

• Salary: SAR 600,000
• Competitive Equity Package  
• Comprehensive Benefits Plan 

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