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 AI Engineer on a builder track.

This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.

You’ll work with both classical ML and generative AI (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.

Your responsibilities

• Build AI products that ship
  • Design and implement AI-powered features and internal tools.
  • Integrate models into real systems (APIs, workflows, dashboards, and operational processes).
• Work with LLMs in a production-ready way
  • Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.
  • Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).
• Own evaluation and quality
  • Define what “good” means: success metrics, offline tests, and human-in-the-loop review.
  • Set up evaluations for quality, safety, latency, and cost.
• Make AI reliable and safe
  • Add observability: logging, tracing, and monitoring for quality regressions.
  • Implement privacy and security controls (PII handling, access control, redaction where needed).
  • Participate in incident response and postmortems when AI systems misbehave.
• Partner across teams
  • Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.
  • Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.
• Use AI tools thoughtfully
  • Use AI assistants for prototyping, debugging, and documentation.
  • 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 backend services.
• Strong foundations in:
  • Software engineering basics (APIs, testing, reliability)
  • Data handling (SQL and/or dataframes)
  • ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)
• Clear communication and a collaborative approach.

Nice to have

• Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).
• Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).
• Exposure to MLOps concepts (experiment tracking, model registry, monitoring).
• Familiarity with vector databases, search, or information retrieval.
• Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).
• Experience using AI assistants responsibly for coding and analysis.

What success looks like

• You ship at least one AI feature or internal tool that is used by real users.
• You set up a simple evaluation and monitoring loop so the system improves over time.
• Your solutions balance quality, latency, and cost, with clear tradeoffs.
• When the AI output is wrong or risky, you can debug, mitigate, and explain why.

All qualified individuals are encouraged to apply.

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 KSA, UAE and Kuwait, and partners with leading global and regional brands such as SHEIN, Jarir, noon, Amazon, IKEA, eXtra and Farfetch as well as small and medium businesses. 

Tamara is Saudi’s first fintech unicorn and is backed by Sanabil Investments, SNB Capital, Checkout.com, amongst others, operating out of its headquarters in Riyadh, Saudi Arabia with other regional and global support offices.

Your Role 

We're seeking an Engineering Manager I for one of our core engineering teams. As an Engineering Manager I, you will be crucial in leading a team to develop and enhance our payment solutions. You will guide your team in building and owning a meaningful segment of our platform, ensuring the delivery of high-quality features that create the unique experiences only Tamara can offer.

Drawing on your proficiency in software development and team leadership, you will be responsible for providing technical direction for your team, fostering a culture of quality, and driving the execution of your team's roadmap. You will lead a focused team of 4-6 engineers (Backend, Frontend, QA) and collaborate closely with designers, analysts, and product experts. Your responsibilities will center on guiding technical decisions, ensuring on-time delivery of the team's roadmap, and fostering the career growth of your engineers.

You are a driven, determined, curious team player, knowing that collective strength means we all win. With a positive outlook, you are solution-oriented–persevering regardless of circumstances, always finding a way through, no matter the challenges. You will effectively find a way to work with everyone through empathy and respect. You will be driven and comfortable with responding quickly with urgency, with the ability to change course without losing momentum and energy, resulting in great success.

Your Responsibilities

• Leadership: Inspire and motivate a team of 4-6 engineers within a single squad. Provide clear direction for the team, aligning their goals with the company vision and strategy. Build a healthy environment of trust, feedback, and a strong sense of ownership.
• People Development: Develop talent through ongoing coaching, mentoring, and providing challenging growth opportunities. Give candid and constructive feedback frequently. Run effective 1:1s, assess performance, and play a key role in helping us attract, develop, and retain great engineering talent for your team.
• Technical Contribution & Ownership: As a significant technical contributor, you will maintain a strong understanding of your team's software architecture. You will provide technical direction, facilitate technical decision-making in collaboration with senior engineers, and drive quality practices like code reviews and testing. You will support the adoption of engineering best practices such as CI/CD and observability.
• Execution & Delivery: Plan and manage your team's execution to deliver on roadmap commitments. Help the team break down complex topics into smaller, manageable tasks in collaboration with Product and UX. Identify risks early, communicate them to stakeholders, and work actively to mitigate them.
• Team Performance: You are accountable for your team's on-time delivery. You will help define and refine team-level processes to improve effectiveness and ensure alignment with broader organizational goals.
• Collaboration: Partner with Product and business leadership to influence product strategy and drive alignment between technical goals and product priorities. Work closely with other Engineering Managers and the architecture board to ensure consistency and shared learning.

Your Expertise

• You have 1-3 years of experience in an engineering leadership role (e.g., Team Lead, Tech Lead, or Engineering Manager), guiding a team of at least 4 engineers.
• You have a strong technical background in software development (e.g., Java, Go, Kubernetes, CI/CD, Messaging Queues, Cloud Services).
• You are motivated by working in a fast-paced, high-growth startup environment.
• You have a good understanding of Agile methodologies (Scrum/Kanban).
• Fintech/eCommerce experience is a plus.

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

We are looking for a flexible and highly motivated Content Producer with expertise in videography and editing to create compelling video content in collaboration with internal teams and clients. You should thrive in a fast-paced environment and be capable of working independently, with small teams, or with freelancers to produce exciting audiovisual content for both traditional and digital platforms.

As part of a newly developed content and digital hub, you will manage requests and briefs from a team of over 100 people across the region, serving more than 50 clients, and coordinating with a network of freelancers and agencies. Strong communication skills are essential, as you will be client-facing, managing multiple projects, tight deadlines, and providing constructive feedback when necessary.

You will also be responsible for setting up and managing our post-production pipeline and backend systems, as well as helping to build and improve our production infrastructure. Your expertise will be key in advising on how to grow and refine the department to best serve our clients' needs.

Key Responsibilities:

• Produce, Film, and Edit: Independently handle the production, filming, and editing of content, or collaborate with a network of freelancers and suppliers based on project scale and timeline.
• Develop Storyboards: Create storyboards for various formats and platforms to align with creative concepts and client requirements.
• Collaborate with Creative & Client-Service Teams: Support and work closely with the creative team and client service team to ensure cohesive project execution.
• Lead/Participate in Brainstorms: Attend and run brainstorming sessions to generate fresh ideas and innovative solutions for projects.
• Take Briefs and Gather Feedback: Collect briefs from clients or colleagues and incorporate feedback to refine creative outputs.
• Liaise with/Brief Suppliers: Coordinate with suppliers and brief them on project requirements to ensure deliverables meet expectations.
• Client & Pitch Presentations: Prepare and present audiovisual concepts and pitches to clients, showcasing creative solutions and project plans.
• Ensure Timely and On-Budget Delivery: Work with the client-service team to track progress, ensuring projects are delivered on time and within budget.
• Consult on Audiovisual Challenges: Provide expert advice to clients on audiovisual representation and overcome any challenges related to production.
• Manage Outsourced Projects: Oversee and manage outsourced audiovisual projects on behalf of project teams, ensuring quality and deadlines are met.
• Create and Manage Project Timelines: Develop clear project timelines, monitoring each phase of production and ensuring deadlines are met.
• Coach and Train Junior Team Members: Provide coaching and training to junior team members, supporting their growth in digital and content practices.

What We Are Looking For:

• Curious, creative and up for a challenge
• Smart and a clear communicator
• Friendly and positive with team
• Confident in client facing situations
• Passionate and knowledgeable about video and audio visual
• Obsessive about attention to detail
• Happy to work hard and travel at short notice

Background

• Relevant video / creative qualifications (or an amazing portfolio)
• Previous experience in fast-paced agency or production environment

#LI-RS31 

Job Summary

Design, develop, and maintain backend services and APIs that power Hala services web and mobile platforms.
Build and optimize scalable, secure, and high-performance systems to support growing user and data demands.

Key Responsibilities

• Design, develop, and maintain backend services and APIs that power Hala services web and mobile platforms.

• Build and optimize scalable, secure, and high-performance systems to support growing user and data demands.

• Collaborate closely with product managers, frontend engineers, and other teams to define technical requirements and deliver end-to-end solutions.

• Integrate with third-party systems, internal APIs, and external services to enable seamless functionality.

• Write clean, maintainable, and testable code following best practices and team standards.

• Implement authentication, authorization, and data protection mechanisms to ensure system security and integrity.

• Contribute to architecture discussions and technical design reviews to ensure scalable and future-proof backend solutions.

• Monitor system performance, identify bottlenecks, and implement performance improvements.

• Participate in code reviews, mentoring, and continuous improvement of engineering processes.

• Collaborate in deploying and maintaining services in staging and production environments (e.g., via CI/CD pipelines).

• Support troubleshooting, debugging, and resolving production issues in a timely manner.

Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

• Experience: 1+ years of backend development experience in a production environment.

• Strong proficiency in one or more backend languages (.NET, Node.js, Python, Go, or Java).

• Experience with RESTful APIs and/or GraphQL design and development.

• Solid understanding of microservices architecture and event-driven systems.

• Familiarity with databases (SQL and NoSQL), such as PostgreSQL, MySQL, MongoDB, or Redis.

• Hands-on experience with cloud platforms (OCI, AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

• Knowledge of CI/CD pipelines, automated testing, and modern DevOps practices.

• Understanding of security principles, authentication (OAuth2, JWT), and data privacy best practices.

• Excellent problem-solving skills, teamwork, and communication abilities.

• Strong focus on performance, scalability, and reliability.