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Were looking for an enthusiastic and highly motivated Technical Support Engineer to identify, diagnose and resolve customers issues. The Technical Support Engineer will be a part of our Professional Services team.

This is an exciting opportunity to work in a challenging, fast-paced environment in a high-performance team. Here we truly put our people first. We strongly believe in teamwork, and we encourage and trust our people to reach higher, learn more, and live up to their potential.


Job Description
Taking ownership of customer issues reported by customers and prioritizing them based on urgency and importance.
Researching, diagnosing, troubleshooting issues and identifying solutions to resolve system issues.
Coordinating support case resolution with the appropriate internal teams: Sales, Professional Services, Product.
Following standard procedures for proper escalation of critical or unresolved issues.

We're looking for a technical PM early in their product journey. The role spans involvement in wide product initiatives alongside ownership of requirements analysis, user stories, and execution of specific product capabilities. A strong candidate brings soft skills together with sharp analytical instincts, critical thinking, and a real drive to learn fast inside a structured team.

What you'll do
Research features, competitors, integrated technologies, and standards, turning findings into clear insights and product recommendations.
Own requirements and execution for specific product components, while contributing to broader product domains and initiatives.
Write detailed user stories and specifications that translate technical concepts and customer needs into clear, executable requirements for engineering.
Partner closely with engineering across the full product lifecycle, from definition to delivery.
Grow into a subject-matter expert for your product components.
Process customer feedback and requests, and support product documentation, enablement, and marketing.

We're looking for an energetic, hands-on Operations & Employee Experience Specialist to be the beating heart of our office and the go-to person who makes sure everything - and everyone - runs smoothly. This role blends day-to-day office management with a genuine passion for creating a great workplace culture. You'll be the person employees turn to, the one who anticipates needs before they arise, and the driving force behind a warm, organized, and fun work environment.

Responsibilities

Employee Experience
Own the full employee experience: company events, gifts, celebrations, employee onboarding.
Strengthen employees' connection to the company through thoughtful initiatives and touchpoints.
Plan and execute company events, holidays, birthdays, and milestone celebrations.
Build and maintain a warm, inclusive company culture.

Office Management
Manage the day-to-day running of the office: supplies, groceries/kitchen stock, parking, cleaning services, and maintenance as needed.
Serve as the main point of contact for vendors and service providers related to office operations.
Ensure the office is always a pleasant, functional, and welcoming space.

Travel & Executive Support
Book and coordinate flights and travel arrangements for employees and management.
Manage the CEO's calendar, including scheduling, prioritizing, and coordinating meetings.

The Macro Center for Political Economics is looking for a sharp, independent, highly organized and people-oriented Program Coordinator for our Leaders at Work program.

A great fit for candidates with a background in project management, international programs, academia, NGOs, international relations, or event coordination.

The role combines program management, student and lecturer coordination, events and delegations, and ongoing collaboration with partners in Israel and Germany.

Responsibilities:
Manages the development of legal strategies for senior management at one or more units of a large global or regional business; or leads complex commercial transactions; or provides specialized legal expertise in one or more areas of strategic importance or having significant impact on revenue, risk, or policy for client base.
Develops and recommends innovative process improvements to effectively address business needs.
Identifies and resolves highly complex legal, regulatory, and business issues.
Manages legal responsibilities for multiple client organizations with divergent priorities and needs.
Leads complex, multidimensional projects or transactions.
Takes full accountability for clients' legal needs by networking effectively to achieve resolution of matters outside of direct subject matter expertise or responsibility.


This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from our office.

We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers our data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.

This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make our data and AI platforms scalable, reproducible, secure, compliant, and easier to use.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architectural Leadership: Own and evolve the technical roadmap for our data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.

We are looking for an ML Infra Engineer to play a central role in evaluating, and deploying our AI models. You will own and evolve our benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

This is NOT a core algorithmic research role - but rather, a role focused on building out the ML engineering infrastructure for the evaluation and deployment of models.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.