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Required Account Management Team Lead
Ready for a challenge?
Then this might be the place for you. Were a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether its a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About this role:
As Team Lead for the Account Management team, you will manage the activity, results, and development. In this dynamic role, were looking for someone who can:
Lead and mentor Account Managers to achieve qualitative and quantitative metrics.
Identify opportunities for process improvement and implement effective strategies.
Monitor team and restaurant partner KPIs to enhance satisfaction and performance.
Oversee daily operations, ensuring team members are equipped to provide optimal recommendations to our partners.
Collaborate with other managers to enhance best practices and align communication strategies.
Analyze market trends and competitor activities to optimize restaurant and customer experiences.
Support the Head of Account Management in strategic initiatives and operational tasks.
Coach and develop the team to excel in their roles.

Required B2B Marketing Manager
About this role:
As a B2B Marketing Manager for our brand in Tel Aviv, you will play a pivotal role in shaping and executing our brand strategy to drive sustainable and profitable growth. Your primary responsibility will be to develop and implement multi-channel marketing campaigns that align with our brand positioning and resonate with our target audience.
Leveraging your deep understanding of market insights, you will transform data into impactful campaigns that support our business objectives. Your expertise in analysis and strategic thinking will be key in identifying local growth opportunities and mitigating potential risks.
From planning and executing marketing initiatives to evaluating their success, you will ensure that every activity-whether local campaigns, customer activations, or PR efforts-is optimized to strengthen our B2B presence and effectively engage customers across Israel.
Responsibilities:
Competitive analysis of the B2B landscape and changing dynamics- conducting in-market surveys, round tables, participation in conferences, and relevant forums.
Drive new potential consumers in-bounds and SDR via B2B communication tools (Linkedin campaigns, Meta, Google, Taboola)
Drive existing customer success and retention efforts- Build and execute creative communication plan (newsletters, notifications, presentations, leaflets, etc.) to existing corporate admins and end users via (writing and communicating new product features, special events, unique benefits and propositions, etc.)
Budget Ownership & media planning:
Brief agencies, plan, execute, and evaluate winning marketing activities, ensure they are consistent with brand positioning across all touchpoints, and drive 10bis corporate users base growth.
Build strong relationships with internal and external stakeholders- acting as a contact point and B2B landscape expert
Own and maintain our B2B social media assets, driving brand presence, engagement, and content strategy across relevant platforms.
Reports to the Head of B2B Sales.

Were at a super exciting inflection point. Our product is scaling, our customers are pushing the boundaries of whats possible, and were re-architecting our platform to keep up with that pace.
Were looking for a Full Stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.
What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience our company, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

Were at a super exciting inflection point. Our product is scaling, our customers are pushing the boundaries of whats possible, and were re-architecting our platform to keep up with that pace.
Were looking for a Senior full stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.
What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience our company, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)
Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives.
The Specialized Portfolio Manager Opportunity:
Transparent and formula-based compensation
Opportunities to contribute to other research and strategy initiatives
Access to our alpha pool, portfolio management tools and innovative technology platforms
Access to a deep and broad menu of datasets supported by a dedicated data team
Cross-asset execution led by a multi-regional trading team
Participation in internal research conferences and forums
Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
Access to AI and Machine Learning opportunities applied to financial markets.

As a Senior Site Reliability Engineer at our company 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure - work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates.
What You'll Do
Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt)
Architect and scale AWS environments
Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy
Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset).
Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform
Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling)
Build self-service internal developer platforms that empower teams to ship faster.
Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes.
Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning.
Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency
Document work and provide cross-training to peers.
Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring.

Required Senior Python Software Engineer
The Role:
Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

We are looking for an exceptionally strong software engineer to join our Technology organization. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow - from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice.
Design and build data pipelines and the data layer.
Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.
Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows.
Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

we are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.
What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.
Why is This Role Unique?
Core software engineering - The role is centered on software architecture, implementation quality, algorithms, performance, scalability, robustness, and maintainability. UI, database-heavy work, and DevOps are minimal to non-existent.
Algorithmic depth - Solve complex computational and mathematically intensive engineering problems, not just standard backend challenges.
Quantum computing focus - Work on emerging quantum computing technology. Prior quantum experience is an advantage, but is not required.
Research-to-production collaboration - Work directly with quantum physicists and researchers and turn research ideas into reliable production software.

As a quantum researcher, your main role will be to develop algorithmic and error-reduction tools to help our partners and customers achieve quantum advantage for their applications. You will develop our companys error reduction methods, including mitigation and correction, and apply them to different use cases by optimizing existing methods, developing new algorithms, and adapting these tools to the realities of running on quantum hardware. This includes taking into account application requirements, noise characteristics, device constraints, and performance on real quantum devices.
Responsibilities
Developing new error reduction methods, including mitigation and correction, for quantum algorithms.
Optimizing error reduction methods for different algorithms, applications, and hardware settings.
Developing new quantum algorithms to enhance performance on real quantum hardware with error mitigation.
Conducting research on applications of quantum computing with our companys partners, including implementing and running proof-of-concept demonstrations of these applications on real quantum hardware. 

Required Staff AI Research Scientist
Our research is driving the future of AI, from edge to cloud. We are building the foundations of tomorrow's intelligent systems, spanning next-generation processors and accelerators, innovative machine learning models, and advanced AI tools. As a Research Scientist, you will join a distributed team pushing the boundaries of what is possible at the intersection of AI, computer architecture, and compute. We seek curious, collaborative researchers who are passionate about turning research ideas into top-tier publications and real-world impact. We are looking for Research Scientists interested in foundational advances in machine learning, efficient inference, and physical AI. Research areas can include, but are not limited to:
Generative Modeling: Research into generative techniques for inverse problems, such as image denoising, super-resolution, reconstruction, and related tasks.
Efficient Inference: Research into including quantization, pruning, low-rank, and hardware-aware optimization.
Physical AI: Research into AI systems that perceive, reason, and act in the physical world.
Responsibilities:
This role involves conducting research across a wide range of AI topics, collaborating with researchers to advance the state of the art, publishing at top conferences, and translating research into real-world impact.