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This is a rare opportunity for a high-caliber operator to take true end-to-end ownership of the operational engine behind a fast-growing health-tech company. We're looking for someone who has consistently excelled in demanding, high-stakes environments - and is ready to bring that same bar for excellence to a role with real autonomy and direct visibility to leadership. Reporting to the Chief Strategy Officer, you will manage the operational backbone of the company - overseeing finance and administrative processes, HR and hiring logistics, budget management, vendor and client contract organization, compliance, and day-to-day office operations.
Key Responsibilities
Own the day-to-day financial transaction process, ensuring the company's accounting records (QuickBooks) stay accurate and organized
Manage invoicing and accounts receivable - receivables in this business are not for the faint of heart
Monitor tax obligations and filings
Create and oversee the budget process, manage budget requests from colleagues, and route approvals to Leadership
Manage payroll coordination with the outside vendor to process payroll
Vendor management - payments, contracts, and organization
CRM management - tracking contract key business terms and renewals, and maintaining client contract folders and documentation
Own the hiring process end-to-end - funneling, CV scanning, job postings, and offer coordination - and partner with managers on hiring, termination, promotion, and salary decisions
Own HR policy and performance management, including policy documentation, a Performance Review practice, and office culture initiatives like socials and team events
Serve as point of contact for insurance renewal, and oversee compliance management, required documentation, and the Business Continuity Plan
Oversee day-to-day office operations.

we are looking for a Senior Full Stack Engineer.
What you'll do:
Own features end to end: design, build, ship, and run them in production.
Work closely with product on what to build, with a say in scope and priorities.
Own the operational side: DevOps, automation, and tooling sit with the engineers who build the product, not a separate team.
Build AI capabilities into the product and own how they behave in production.
Orchestrate coding agents across the SDLC and in daily work, and raise the velocity and quality of what the team ships.
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Were looking for a Product Thinker who can lead E2E processes- from working closely with customers and defining the right problems, to prioritizing what matters most.
The role requires strong market awareness, a deep understanding of customer needs, and the ability to lead meetings that drive engagement and align with business goals.
The ideal candidate is Product Manager with proven impact on product roadmaps, who understands how to build, prioritize, and manage them effectively. The ideal candidate is comfortable working in a fast-paced environment and is excited to build and shape product processes and infrastructure from the ground up.
Data-driven, makes decisions based on KPIs, and can translate strategy into clear, actionable tasks for execution across teams.

As a Software Engineer at our company, youll truly work across the full stack. Youll design and deliver front-end experiences (we dont rely on pre-set designs), and depending on your team, youll also build high-scale, high-availability services in Go and manage infrastructure setup.
Key Responsibilities
As a Senior Software Engineer, youll take full ownership of products and features - from concept to delivery.
Youll engage with users, align with our strategic direction, and identify what you and the team should build next.
Youll have the opportunity to test MVPs directly in production with real users, iterate quickly based on feedback, and ensure the long-term success of your work.
And yes -youll also jump in as a Support Hero, helping customers and making sure they enjoy an exceptional experience.

As a Project Manager at our company, you will be responsible for managing the successful execution of large scale pilot launches and ongoing relationships with our clients worldwide.
You will work closely with internal cross-functional teams, including Sales, Field Engineering, Support, Product, and R&D to ensure that all pilot milestones are achieved on time, in accordance with our contractual obligations, and to the clients satisfaction.
This is an excellent opportunity for a highly motivated, business-oriented, individual looking to continue their career in project management at a global growing startup thats revolutionizing the restaurant industry.
This is a hybrid position - our offices are based in Tel Aviv.
Key Responsibilities:
Get things done: Be the internal lead for successful pilot execution. Liaise with all internal stakeholders, technical, sales and operations to get things done, on time and within budget.
Lead our pilots to success: Serve as the main point of contact and escalation point for external corporate clients, providing regular updates on progress, addressing concerns, setting timelines, and managing realistic expectations and deliverables.
Be the face of our company: Lead all internal and external meetings. You will represent our company to our external corporate clients.
Continuous Improvement: Contribute to process improvement initiatives, sharing insights and suggestions to enhance project management practices within the company. Identify organizational learning opportunities for continuous improvements.
Manage a remote team: Lead, mentor, and motivate a remote customer success team, fostering a culture of collaboration, accountability, and exceptional customer focus.
Build relationships: Build lasting professional relationships with customers to create the right trusted environment for a successful joint project execution and business expansion.

Were seeking a Solutions Engineer who thrives in fast-paced, customer-facing environments and enjoys building and shipping complex enterprise integrations, solving production challenges, and turning scoped technical projects into reliable, scalable solutions.
As our customers turn more enterprise and more global, our delivery org is where deals become live production systems. As a Solutions Engineer, you're the person who makes integrations real - you take a scoped project and ship it: fast, high-quality, and on the timeline you committed to.
You'll build and test the two-way integrations that connect our company's agents to our customers' enterprise systems, debug issues in production, and clearly communicate impact and plans back to the team and the customer. You're a hands-on integrator at heart, but you can hold your own in a room - explaining what you built, why it behaves the way it does, and what happens next to both engineers and business stakeholders on the customer side.
You'll work inside a delivery pod alongside Technical Project Managers, Solutions Architects, and your Solutions Engineer Manager, on both presale POCs and long-running production deployments.
* This is a Tel-Aviv based role with some travel to the USA office and to global customers expected.
What You'll Do
Implement customer integrations quickly and at sufficient quality - from POC scope through production
Match committed timelines, and surface risks and rejections early where relevant
Debug production issues and communicate impact & remediation plans effectively
Participate in POC and production implementation work alongside customer ICs, and lead technical working sessions with them
Build integrations that hold up under real enterprise load - queues, retries, rate limits, race conditions
Contribute to reproducible playbooks so each integration is faster and more predictable than the last.

we are expanding exponentially. This role owns the design, implementation, and governance of the companys core operating processes: identifying inefficiencies, closing ownership gaps, and building the playbooks, benchmarks, and metrics that keep the business running. The role also owns customer quality and account expansion tracking, and reports directly to the CEO on operational and strategic performance.
Key Responsibilities
Process diagnosis: Identify operational inefficiencies, bottlenecks, duplicated effort, and unclear ownership before they escalate.
Process design: Build and maintain the playbooks and SOPs the company uses, and retire those that are obsolete.
Operational strategy & benchmarking: Research industry and competitor practices, and translate findings into strategy recommendations for the CEO.
Customer quality & expansion: Own the metrics for customer satisfaction and service quality, and the process for converting healthy accounts into upsell and expansion revenue.
Change management & audits: Run operational audits, drive fixes to closure, and lead adoption of new processes with function leads.
Metrics & reporting: Track the operational, customer, and growth metrics that matter, and report on business health directly to the CEO.
Process Scope
Process ownership spans the operating model end to end: customer lifecycle and expansion, cross-org handoffs (e.g., Product-Sales, Sales-Marketing), people lifecycle (onboarding, reviews, leveling), OKR cadence, communication and knowledge management, feedback and continuous improvement, vendor and compliance operations, and domain ownership mapping.

We're looking for a Senior Software Engineer to own real parts of it.
What you'll actually do?
Own entire pieces of the product- from "here's a vague problem" to "it's running for enterprise customers".
Design systems that survive real scale: multi-tenant, high-volume, real-time, always-on.
Move fast with AI agents, and stay completely responsible for what lands in production.
Make the team better: your tooling, your workflows, whatever you figured out last weekend.

Were now looking for a world-class Senior Software Engineer to help architect and build the core systems behind our AI security engine.
As part of our AI Cybersecurity team, youll design and build the infrastructure and agent workflows that power security platform. This is a full-lifecycle engineering role, covering backend systems, AI agent development, and product integration, with a focus on building workflows that are reliable, scalable, and production-ready.
What Youll Do:
Architect and build backend infrastructure powering secure, scalable AI workflows.
Develop core systems for multi-agent reasoning, retrieval pipelines, and tool execution.
Productionize AI models and agent workflows with strong reliability and performance guarantees.
Integrate AI services across the product stack, from backend APIs to user-facing workflows.
Own systems end-to-end: design, implementation, deployment, monitoring, and iteration.
Apply secure engineering principles across everything you build, from APIs and data flows to infrastructure and deployment.

A full-time Software Engineer role where you will take ownership of core features across the stack - mainly from backend to frontend - and contribute to the architecture, scalability, and performance of our company's AI-driven healthcare platform.
Key Responsibilities
Own core features end-to-end, from backend to frontend
Contribute to architecture, scalability, and performance of our AI platform
Work closely with R&D, Product, Clinical, and Data teams
Design and implement intelligent, production-grade systems leveraging LLMs, serverless infrastructure, and real-time data.

If you're ready for the next big step in your software development career, read on.
You'll work across the frontend and backend systems that form the backbone of the platform: responsive, scalable interfaces on one side, and reliable backend services and APIs on the other. Our stack is Python, React, TypeScript, FastAPI, and several more database types running on Kubernetes, with an emphasis on performant, secure, and reliable systems.
You'll work directly with product, design, and the rest of engineering, on a team small enough that you'll shape the architecture and the roadmap, not just execute against them.
Responsibilities:
Develop and maintain the core architecture of our AI agent platform, across both frontend and backend
Design and deploy scalable APIs, microservices, and backend systems in Python (FastAPI, Flask, or Django)
Build high-quality, responsive UIs in React and TypeScript: reusable components, optimized for performance and accessibility
Build with coding agents as a primary mode of work, and help define how our team does it well, including tooling, review standards, and the guardrails that keep quality high
Own features end to end, from architecture through production deployment. Yes, this means brand new pillars in the platform
Maintain high code quality through testing, code review, and clear standards, which matters even more given how much code we generate

If youre ready for the next big step in your software development career - read on.
In this role, youll focus on building robust, scalable, and efficient backend
solutions that enable developers to create production-grade AI Agents. You will design and optimize the platforms architecture, implement new features, and ensure seamless integration with APIs, making it easier to build reliable and capable AI Agents for any use-case. This is a hands-on role that combines backend engineering with shaping the future of AI-driven development, involving both research and navigating ambiguity.
Responsibilities:
Design, develop, and maintain the core backend architecture of our AI-driven platform.
Take ownership of end-to-end development processes, from design to deployment. Yes, this means brand new pillars in the platform.
Build and deploy scalable APIs, micro-services, and systems that enable seamless AI Agent workflows.
Research and integrate advanced technologies to improve system scalability and reliability.
Ensure code quality through testing, code reviews, and best practices.

We're looking for a Machine Learning Team Lead to own real parts of it.
What you'll actually do?
Lead, mentor, and grow a multidisciplinary team composed of Data Scientists, Data Analysts, and DLP Analysts.
Define and lead the team's technical vision and execution strategy, driving technical excellence and ensuring alignment with business priorities and product objectives.
Oversee the design, development, validation, and deployment of advanced machine learning solutions for customer-facing products.
Hands-on ownership of current AI services.
Establish and enforce best practices for model development, experimentation, evaluation, documentation, and code quality.
Collaborate closely with Product Managers, Data Engineers, Software Engineers, and domain experts to translate business challenges into scalable ML solutions.
Drive execution and delivery, balancing innovation, technical quality, and time-to-market considerations.
Promote operational excellence by improving the reliability, scalability, and maintainability of production machine learning systems.
Establish scalable engineering processes, workflows, and best practices.
Lead the team transformation from an early-stage organisation into a mature, production-grade AI engineering team.

As an Ethernet Validation Engineer, you'll own the validation strategy for high-speed Ethernet (400G/800G+) on our next-generation ASICs, ensuring they perform flawlessly before reaching millions of customers.

In this role you will set the validation strategy for HS-Ethernet, ensure the design worked well, and drive complex system debugs involving HW, FW and SW components. You will provide leadership, by driving the teams around you to raise the bar and deliver higher quality products on behalf of Amazon customers. You will set high standards for yourself and everyone you work with, and will be constantly looking for ways to improve the performance, quality, cost and reliability of AWS products and services. We are transforming an industry, and we are looking for individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities
- Own new products validation strategies for high-speed Ethernet interfaces and leading their execution.
- Support ongoing validation and integration of new products.
- Provide Annapurna Labs ASIC design, SW development, QA and architecture teams information and requirements from validation perspectives.