לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,309 משרות

We're looking for a Head of R&D, Piano to join us and help scale our teams, technologies, and processes to the next stage of growth. In this role, youll play a key part in building and scaling a high-performing engineering team, ensuring alignment between technology and business goals, and fostering a strong development culture. This is a unique opportunity to combine technical leadership, people management, and organizational influence - all within a fast-paced, high-impact environment.
What Youll Be Doing:
Lead and scale high-performing engineering teams, driving execution, delivery, and growth.
Partner closely with product, design, data, and business stakeholders to shape roadmap and priorities.
Bridge product vision and engineering execution, making strategy actionable.
Own key architectural and technical choices that enable scale and continuous product evolution.
Identify bottlenecks, streamline processes, and boost team velocity through org and workflow changes.
Coach and mentor engineers, fostering growth, ownership, and impact.
Uphold high standards of code quality, collaboration, and engineering culture.

As a Senior Full-Stack Engineer, youll be at the forefront of building and scaling our product from the ground up. Youll work closely with your team, as well as a product and product designer, to design and implement both the front-end user experience and back-end logic that powers our platform.

Youll play a key role in creating modern UI components, building API services, and contributing to core architectural decisions in a high-impact, low-ego team environment.

What youll do:

Design and implement scalable Senior Full Stack Engineer features and components using NodeJS and React.

Build and maintain robust APIs and data pipelines to support the platform.

Collaborate closely with product, design, and engineering leadership on architecture and UX.

Participate in code reviews, testing, CI/CD, and overall platform improvements.

Bring creativity, curiosity, and best practices to everything you build.

we are looking for a Senior Software Engineer.
In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners.
All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.

Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.

Optimize model performance, inference time, and cost efficiency within AWS infrastructure.

We are looking for entrepreneurs with deep finance, fintech and ERP experience who bring strong product judgment.

This role is for people who have lived finance systems complexity firsthand and want to use that experience to build product. You might come from finance transformation, ERP, consulting, operations, or fintech. What matters is that you understand where workflows fall short, where controls matter, how better systems should work, and how product decisions create business value.

We are an AI-native tools are part of how we build. This role is a chance to turn finance and ERP insight into product faster, with more context and better judgment than traditional product development allows. Youll collaborate closely with teams across the Bay Area and Israel.


What You Will Do
Find high-value opportunities in fintech and ERP workflows that should be redesigned, not just improved.
Shape those opportunities into clear product direction with strong user and business value.
Define workflow logic, edge cases, controls, exceptions, and handoffs.
Decide what should be automated and what should remain human-driven.
Work with engineering, design, data and marketing to build and ship new capabilities.
Test ideas with customers, learn quickly, and refine fast.
Own the path from problem identification to customer value and business impact.

Were hiring a Senior Full Stack Engineer to help evolve our AI-first AP Automation platform.

Youll be a key player in building a unified system that gives companies full control and visibility over spending, from invoices to AP credit cards to payments.

This is a high-impact role in a fast-growing startup where AI is not just a feature but a foundation.

Youll architect and deliver scalable, intuitive web experiences that drive efficiency, transparency, and collaboration across the finance workflow.

What You Will Do
End-to-End Development: Build and enhance our platform using Java and React, delivering seamless, performant user experiences across web applications.
AI-Enhanced Feature Delivery: Work closely with AI and product teams to integrate smart automations, faster approval workflows, and contextual user assistance throughout the application- MUST.
Performance Optimization: Ensure responsiveness and scalability of the application, handling large data sets and user volumes efficiently.
Collaborative Problem Solving: Partner with designers, PMs, and fellow engineers to transform business needs into elegant technical solutions.
Clean Code & Best Practices: Write robust, maintainable, and testable code. Participate in code reviews and contribute to engineering excellence.
Continuous Improvement: Keep up with new trends and technologies-especially in AI/ML-and look for opportunities to evolve our systems and architecture.

We are looking for an experienced DevOps Manager to lead and grow our DevOps function. This role combines people leadership, technical direction, and ownership of the infrastructure, tooling, automation, and operational practices that power Stamplis production environment.

You will manage DevOps Engineers, hire and onboard an additional team member, and drive the strategy, execution, and evolution of Stamplis internal DevOps platform. You will work closely with Engineering, Data, AI, Product, and Security teams to improve developer experience, enable fast and safe delivery, and keep production stable.

This role requires a strong hands-on DevOps / Platform Engineering background, combined with proven leadership capabilities. If you believe DevOps should operate as a self-service platform, love automation, and think in systems and end-to-end flows, keep reading.


What You Will Do
Lead, mentor, and manage a DevOps team, fostering ownership, excellence, collaboration, and continuous improvement.
Own the DevOps roadmap, priorities, execution, and delivery, aligned with Engineering, Data, AI, Security, and business goals.
Provide technical and architectural guidance across infrastructure, CI/CD, cloud operations, automation, observability, security, and platform engineering initiatives.
Build and evolve our internal DevOps platform, creating self-service capabilities, internal services, and golden paths that scale across teams.
Own CI/CD end-to-end, including Jenkins, GitHub, and GitHub Actions pipelines from commit to production.
Oversee and evolve our AWS stack, including ECS, EKS, Lambda, DynamoDB, Redshift, S3, DocumentDB, networking, IAM, observability, and deployment patterns.
Enable MLOps and data workflows using tools such as Airflow, MLflow, and Jupyter Notebooks.
Drive an automation-first mindset through Infrastructure-as-Code, scripting, internal tooling, and reusable components.
Lead cost optimization efforts with a FinOps mindset, including visibility, budgets, rightsizing, and workload efficiency.
Ensure security is embedded into DevOps practices, including least privilege, secrets management, vulnerability scanning, secure SDLC, and incident readiness.
Leverage AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, and ChatGPT Enterprise to improve team productivity and delivery speed.
Collaborate closely with cross-functional stakeholders to unblock delivery, improve developer experience, and maintain production stability.

We are looking for an experienced Data Science Manager to lead and grow our Data Science team. This is a managerial role focused on leading a team of Data Scientists while driving the strategy, execution, and delivery of impactful AI and ML initiatives across our SaaS platform.

You will be responsible for both people leadership and technical direction - ensuring high standards of execution, mentoring team members, and aligning data science efforts with product and business goals. This role requires a strong hands-on background combined with proven team management experience.

What You Will Do
Lead, mentor, and manage a team of 7-10 Data Scientists, fostering a culture of ownership, excellence, and continuous learning.
Own the teams roadmap, prioritization, and delivery of AI initiatives.
Provide technical and architectural guidance across projects.
Drive end-to-end execution of data science solutions - from problem definition and research to modeling, evaluation, deployment, monitoring and enhancement cycles.
Collaborate closely with Product, Engineering, and Business stakeholders to translate business needs into scalable AI solutions.
Ensure production-grade standards, model performance monitoring, and continuous improvement.
Stay up to date with advances in machine learning, GenAI, and LLM technologies, and translate them into business impact.
Take responsibility for hiring, onboarding, and developing top data science talent.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across Stamplis B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.

This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.

What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across Stamplis products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

We're looking for a Staff Product Manager to help architect the scalable platforms that solve our most complex systemic challenges. You'll sit at the intersection of automation, AI, and infrastructure - owning the strategy and execution for core capabilities that move Lemonade's platform forward. This role lives within our Product team and carries real visibility across the organization.
We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead zero-to-one strategy and execution for critical automation platforms - building the scalable infrastructure that powers seamless workflows and measurable efficiency gains
Map and untangle complex, multi-step logic to identify where self-service and AI can replace manual effort, then drive those initiatives through to scale
Build with the latest GenAI tools and LLMs, alongside our homegrown internal tooling, to create capabilities that intelligently manage high-stakes touchpoints
Partner closely with engineers, designers, data analysts, and internal stakeholders to shape product strategy, then translate it into detailed requirements and working prototypes
Own the roadmap for foundational infrastructure, prioritizing solutions that expand capabilities and reduce friction for internal teams and end-users alike
Mentor across the organization, championing rigorous problem-solving, systems thinking, and a culture of continuous learning

We're looking for an SVP of Engineering to scale our AI-powered platform and deliver products that protect millions of customers worldwide.
You'll lead our global engineering and data science organization as we build the future of insurance, where cutting-edge AI meets human-centered design. This role sits on our executive team and reports directly to our Chief Product Officer, driving technology decisions that create real customer value.
We believe two things matter for every leadership role leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
In this role you'll
Build and execute a technology strategy that turns vision into scalable, secure platforms customers love
Lead and mentor senior engineering leaders while fostering a culture where speed meets quality
Translate product roadmaps into multi-year engineering plans that balance innovation, reliability, and cost
Oversee complex delivery across software, data, AI/ML, and infrastructure - always with product outcomes in mind
Drive talent strategy for engineering teams, from hiring plans to performance management and retention
Represent engineering in executive discussions, communicating progress and trade-offs to drive smart decisions