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we are looking for a Product Manager- Data & ML.
As a Product Lead - Data & ML, you will be responsible for defining and delivering data-management and AI/MLOps capabilities within a data-intensive platform. You will work with cross-functional engineering, architecture, and external partner teams to drive advanced data and machine learning solutions that power enterprise-grade products.
You will:
Lead the full product lifecycle- from ideation and prioritization to design, planning, and delivery of AI/ML and data platform capabilities
Define requirements and translate complex business needs into scalable product features in collaboration with engineering and architecture teams
Drive MLOps and data platform initiatives, ensuring high-quality, production-ready solutions
Collaborate with external clients and partners to deliver best-in-class solutions and align on product vision

We are seeking a highly effective Supply Chain Planner to manage a semiconductor supply chain with multiple products in close collaboration with internal and external cross-functional teams. This role encompasses both production planning and New Product Introduction (NPI) planning responsibilities.
This dynamic role requires interaction with suppliers and internal stakeholders to manage production planning, NPI launches, material movements, supplier coordination, and support for engineering/pre-production builds. The successful candidate will communicate product status and open issues, report available-to-promise, prioritize demand management, and provide strategic direction for supply chain optimization.

Key job responsibilities
Own production plans of multi production lines.
Suppliers management with daily communications providing direction.
Direct communication with customers over demand forecasts and own timely delivery commitments.
Manage NPI from concept to production - Strategic supplier selection, Balance capacity across NPI and volume production.
Plan qualifications and NPI timelines, pilot builds, BOM material availability.
Analyze constraints and present mitigation plans and status to leadership.
Develop long-term supply strategies and contingency plans.
Collect and analyze supply chain data; maintain KPIs and dashboards
Release procurement of the BOM components.
Manage materials across foundries, assembly/test houses, and contract manufacturers, Track WIP, inventory, shortages.

Were looking for a passionate and impact-driven Product Manager to join HR Planning group and lead our Workforce Planning module. Workforce Planning is a key part of vision to deliver a seamless, strategic, and data-driven HR platform. This role will be central to shaping how organizations plan their workforce, manage positions and headcount, align people plans with business priorities, and make better decisions through clear, reliable data.
As the Product Manager for Workforce Planning, youll lead high-impact initiatives that connect across platform and empower HR leaders, finance teams, workforce planners, and managers to collaborate more effectively. Youll own the product strategy, delivery, adoption, and measurable business outcomes, helping customers build scalable, transparent, and efficient workforce planning processes.


Job requirements
What you should have:
4+ years of experience as a Product Manager, with a track record of owning and delivering product roadmaps in B2B SaaS environments.
Strong strategic thinking and analytical skills, with the ability to define KPIs, connect features to business impact, and drive prioritization decisions based on data and user feedback.
Excellent cross-functional collaboration and leadership skills - able to align across R&D, Design, Product Marketing, and GTM teams.
Proven ability to lead execution, resolve ambiguity, and deliver impactful outcomes in complex and fast-paced environments.
Exceptional communication and storytelling abilities, with a talent for clearly articulating product decisions and value to a wide range of stakeholders.
A proactive and customer-obsessed mindset, with hands-on experience conducting user research and analyzing behavioral data.
Experience working in HRTech, FinTech, or data-intensive products is a strong advantage.
Full professional proficiency in Hebrew and English - required.

We are looking for a junior Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment. Working for Annapurna Labs is thrilling and a constant learning experience. As an embedded SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customers needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As a SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.

Key job responsibilities
We will be conducting a unique onboarding training program, where you will be studying the following with our technical experts and team leaders:
* Embedded systems basics.
* Annapurna technologies in EC2.
* Cloud compute development.
* Networking 101.

We are looking for a talented Integrations Specialist to join our team and be part of our efforts to become one of the top global Fintech brands in the world. As an Integrations Specialist at our company, you will work closely with members of Customer Success, Product Management, Sales, QA, Engineering, and Operations teams on integrating Customers Business Systems (ERP, HRIS, and SSO) with the company Platform. The ideal candidate is passionate about delivering a great customer experience to our users and is well-versed in handling technical delivery.

What will you do?
Work closely with our customers to ensure they are onboarded successfully with their ERP integrations and are on track to having a positive experience with the company spend management platform.
Demonstrate and train the customers team members on new product features and how to successfully position those features for maximum impact.
Support the sales team with demos that are specific to the prospects needs, goals and unique scenarios.
Understand the customers business needs and challenges and how to set up their company Integrations to accomplish their goals.
Work with Cross departments such as Sales, Customer Success, Support, Product, and Engineering teams to ensure quality service to our customers.
Record the customers product feedback and provide that feedback to our internal team.
Act as the technical manager for helping existing accounts with questions or problems, work with internal technical resources to reflect on the problem and make sure a resolution from a technical perspective is provided.

Join us as a Tech Lead - Full Stack on our Software Engineering team in Glil Yam to do the best work of your career and make a profound social impact.
What you'll achieve
As a Tech Lead - Full Stack, you will be responsible for leading the design, development, and evolution of data orchestration modules and AI-driven applications. You will work closely with engineering, data, ML, and GenAI teams to build scalable, reliable, and high-performing systems that drive business impact and innovation.
You will:
Lead the technical design and implementation of data-intensive, AI-powered applications and platform capabilities.
Own end-to-end development across the technology stack, driving architecture, code quality, and engineering best practices.
Collaborate with software engineers, data scientists, and ML engineers to deliver scalable and reliable solutions.
Troubleshoot and resolve complex production issues across multiple domains and services.
Drive technical excellence through hands-on development, code reviews, mentoring, and continuous improvement initiatives.

As a Senior Platform Engineer you will help deliver a smooth and consistent developer experience to our product/AI teams. This enables them to iterate quickly and deliver products faster to the market. The team aims to streamline development processes, reduce friction and provide developers with the right tools and infrastructure to build high-quality software efficiently which effectively aligns technical execution with our business objectives. Our techstack includes AWS, Python, RDS, EKS, ECS, RMQ and Redis.

You will:
You will have a direct impact on devs' daily smile :) , by focusing on their Devex and velocity through implementing and providing easy and intuitive self serve tools

Lead the design and implementation of infrastructure of complex, time-critical microservices systems, collaborating with AI, data, and product teams to ensure high-quality code using latest technologies while maintaining high developer velocity.

Drive improvements to backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers, including implementing intuitive self-serve tools.

Contribute to defining and realizing the technology vision of the company, evaluating and integrating new technologies to enhance platform capabilities including Gen AI, and troubleshooting complex issues to ensure platform performance and availability. Proactively establish and maintain CI/CD practices and processes including hybrid envs.

Enhance system scalability, performance, and reliability.
What success looks like:

Leading the design and implementation of infrastructure for complex microservices systems, ensuring high-quality code, and maintaining a high pace of development while collaborating effectively with other teams.

Driving improvements to the backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers.

Contributing to the company's technology vision by evaluating and integrating new technologies, including Gen AI, and troubleshooting complex issues to ensure platform performance and availability.

Working closely with development teams to support architecture best practices and enhance system scalability, performance, and reliability.

Mentoring and advising other team members in code review, performance, scalability, and more.

Demonstrating excellent communication and collaboration skills, and being a team player with a highly motivated, can-do approach.

We are looking for a visionary, strategic, and growth-oriented Head of Marketing to lead our global brand, communication, and lifecycle marketing efforts. In this role, you will shape how over a billion users worldwide perceive and engage with our company, with a special focus on scaling our organic reach, maximizing user retention, and accelerating user adoption and conversion within our subscription tiers.

As the Head of Marketing, you will oversee high-level marketing strategy, global brand management, PR, social media, product marketing and go-to-market strategies. You will complement our performance marketing and SEO efforts by building a powerful, cohesive brand identity, optimizing lifecycle funnels, and driving impactful global campaigns. The ideal candidate is a seasoned marketing leader with a sharp creative eye, a commercial mindset, and a proven track record of scaling global consumer brands.

Responsibilities
Global Marketing Strategy: Own and execute our comprehensive global marketing strategy to drive organic growth, brand awareness, and user affinity at a massive scale.
Subscription & Lifecycle Growth: Lead the marketing lifecycle for our subscription services, focusing on user journeys, conversion funnels (freemium-to-paid), and retention strategies to boost engagement and user lifetime value (LTV).
PR & Social Media Management: Oversee our global corporate communications, PR, and social media presence (including LinkedIn and B2C channels). Direct, challenge, and refine the output of external agencies to ensure maximum impact and alignment with our brand voice.
Product Marketing: Lead high-level Product Marketing initiatives, driving messaging, positioning, and go-to-market (GTM) strategies for major feature launches, in focused regions.
Campaign & Creative Direction: Champion the brands creative direction. Ensure top-notch storytelling, campaign concept execution, and high-converting copy across all user touchpoints.
Lifecycle Marketing Operations: Leverage advanced CRM and lifecycle marketing platforms (specifically Braze) to build sophisticated engagement loops, push notifications, and in-app messaging flows.
Cross-Functional Collaboration: Partner closely with Product, Data, Growth (Paid UA & SEO), Sales and Partnerships teams to align organic brand equity activities with high-performance growth tactics.

We are looking for an Assistant Controller who is eager to take on meaningful responsibilities and make an impact. As part of the Finance team, you will be involved in a wide range of accounting and financial activities, including financial reporting, accounting operations, corporate governance, and process optimization. Youll have the opportunity to work closely with experienced professionals and gain broad exposure across the finance function.

What Will You Do
Building and reviewing our yearly budget and analyzing it with actuals.
Monthly/ quarterly forecasting
Financial reconciliation and analysis for customers funds
Work closely with customer-facing teams with regard to SaaS revenue
Building and validating Sales and Marketing KPIs
Customer profitability analysis (monthly and Ad Hoc)
Monthly closing process
Ad hoc tasks in the department.

We are looking for a Senior Algorithm Developer with experience in NLP and LLMs, who is highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong can-do attitude, excellent problem-solving skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.

As part of the AI team you will:

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows tailored to real-world challenges in clinical settings.

Prepare, process, and analyze complex medical data to support algorithm development and validation.

Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.

Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.

Research, develop and integrate cutting-edge text based alogirthms on medical text.

Apply NLP and Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.

Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.

Organize and actively participate in seminars, book clubs, and conferences.

Main Technical Stack:

NLP/LLMs: Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock

Infrastructure: AWS, Docker

Programming Languages: Python

Deep Learning Frameworks: TensorFlow, Keras, Pytorch

We are looking for exceptional engineers to join the top-tier team developing the next generation semiconductor platform based on a revolutionary architecture. You will participate in design activities, working on the next generation of our products.

As a Chip Design Engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

Key job responsibilities:
* Full ownership of one or more IPs within the product:
-Micro-architecture.
-RTL coding and debug.
-Synthesis and timing closure.
-Sign-off.
* Supporting the Verification and Emulation teams: Test plan, Coverage review.
* Ensuring that the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design.

We're looking for exceptional engineers to join our Pre-Silicon Verification team - the team that sits at the very center of the chip development lifecycle. Verification at Annapurna Labs isn't a downstream checkpoint - it's the connective tissue that spans the entire product journey:
It starts at product definition - we engage from day one, shaping requirements and translating product intent into verification strategies before a single line of RTL is written.
It extends into software - we work side-by-side with SW teams, verifying hardware-software interfaces and ensuring seamless integration across the stack.
It reaches into physical design - we verify physical design aspects within functional verification, bridging the gap between logical correctness and silicon reality.
It closes the loop - from spec to silicon, our verification touches every team and every stage of chip development.

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

our company is seeking an entrepreneurial, commercially minded, and proactive Media Account Manager to own, optimize, and scale our global premium advertising operations. In this role, you will act as a strategic growth partner to our clients, identifying monetization opportunities and building complex multi-format campaigns from the ground up. You will serve as the critical bridge between external global clients and our internal Ad Ops, Product, and Data Analytics teams, translating data and operational insights into high-impact business outcomes. If you are a self-starter who is passionate about revenue growth, data-driven optimization, and taking meaningful ownership of impactful projects, this role is for you.

Responsibilities
Strategic Account Partnership & Growth: Openly manage and scale relationships with assigned global channels and Sales Houses, fostering Net Revenue Retention and identifying upsell opportunities by proposing innovative media concepts and compliant First-Party Data solutions in alignment with global privacy regulations.
Campaign Lifecycle Management: Take complex briefs from global clients and autonomously design, launch, optimize, and manage the full delivery lifecycle of sophisticated multi-format media campaigns on our .
Cross-Functional Partner: Work seamlessly and collaboratively with internal Ad Ops and Data Analytics teams to streamline workflows, resolve operational bottlenecks, and maintain precise campaign pacing.
Data-Driven Strategic Consulting: Analyze campaign performance metrics, turn raw data into actionable insights, and translate technical or operational anomalies into clear, client-facing business solutions.
Process Optimization: Establish clear, friction-free internal alignment by managing precise task workflows inside project management platforms.
Client facing: Educate and guide partners on how to effectively leverage our unique First-Party Data, advanced Geo-Location capabilities (Geofencing), and Native vs. Display advertising formats.