לוח משרות דרושים ניהול ביניים בתל אביב יפו, לחיפוש זה נמצאו 562 משרות

We're looking for a Staff Growth Product Manager to own and scale a central growth domain inside our Car product team - the fastest-growing engine at Lemonade. Car is in hyper-growth with aggressive targets, and this role sits at the frontline of hitting them. You'll take on the biggest, hardest problems in car insurance and, by cracking them, ignite the next stage of our growth.
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:
Own a core growth domain within Car end to end, from spotting the opportunity to shipping the solution and optimizing it live
Take on the biggest, hardest problems in car insurance, and turn solving them into the spark for our hyper-growth
Surface the strategy that gets us to our targets, then align leadership around it - you set the direction, not the other way around
Form the vision and roadmap, and drive execution across Car's teams until it's real in production
Connect the full picture of growth: user experience, pricing, marketing, regulation, driving and car data, data science models, segmentation, and market trends
Build AI-native experiences that give our customers a genuinely better service, including how we lead on autonomous-car insurance
Partner closely with our data analytics team, plus engineers, designers, data scientists, actuaries, marketers, and senior leaders to solve hard problems and move fast

Were looking for a Senior Product Manager whos experienced in planning, designing, and scaling world-class products. If you love tackling complex problems, cherish the power of automation and self-service, enjoy exploring the latest GenAI models, and are passionate about designing amazing customer experiences at scale, this ones for you.
We believe three things matter for every role: 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 youll:
In your day-to-day, youll be responsible to drive our automation efforts to the next level, to allow us to reach infinite scale. Our efforts are focused on automating all of the touch points we have with our customers- including handling their claims, replying to their questions to customer support, and reviewing risk factors. By doing so, we optimize our operational efficiency and drive delightful customer experience.
As part of your work youll get to use the latest GenAI tools and LLMs powered by our home grown internal tools.
Youll collaborate closely with designers, engineers, data analysts, and stakeholders within our Customer Ops team.
With an in-depth knowledge of our customer-facing teams, products, and brand, youll create product strategies consistent with the companys vision, and translate them into detailed requirements and prototypes.
Youll prioritize tasks as needed, and come up with creative new ideas to expand our product functions, and improve scalability and automation efforts.

Were looking for a Senior Growth Product Manager with a passion for experimentation, data-driven decision-making, and creating seamless user experiences. Youll join one of our high-impact growth teams, helping drive user acquisition, engagement, retention, and cross-sell opportunities.
This role has the potential to unlock massive revenue growth - scaling from millions to billions. Youll define and implement strategies that drive measurable impact, using deep customer insights, A/B testing, and iterative experimentation to fuel sustainable growth.
As a strategic leader, youll set the vision for where we need to go and craft the roadmap to get us there - balancing business goals with customer needs.
We believe three things matter for every role: 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:
Own and execute key parts of our growth strategy, from research to launch, focusing on user acquisition, retention, and monetization
Understand customer behavior and pain points, leveraging data, user research, and experimentation to uncover opportunities
Define and track key performance indicators (KPIs) to measure success and continuously optimize for impact
Lead continuous A/B testing and experimentation, using insights to drive iterative improvements
Work cross-functionally with Design, Engineering, Data Science, and Marketing to bring growth ideas to life
Challenge assumptions and rethink the status quo, pushing for bold, innovative approaches to growth.

As a Senior AI Product Manager at our company you thrive at the intersection of product innovation and execution velocity: someone who deeply understands customer problems, forms an opinionated view of what to build, and then drives it all the way to shipped, adopted product that moves business metrics.
This is a single-threaded ownership role. You won't be handed a roadmap. You'll build one, grounded in customer evidence and strategic judgment, then own every step from problem framing through launch and measurement. You'll work directly with leadership, engineering, and GTM in a fast-moving, resource-constrained environment where every decision carries real weight. The right person for this role has built products from ambiguity before, has the conviction to say no to 90% of requests, and has a track record of shipping things that customers didn't know they needed but can't live without
Responsibilities
Own product strategy and execution for a core domain end to end, from identifying the right problems through shipped, adopted product
Go deep on customers, competitors, and market dynamics; translate what you learn into product bets backed by evidence, not opinion
Make the hard prioritization calls and build a transparent system the whole company trusts for deciding what gets built and what doesn't
Drive delivery with speed and precision: tight specs, aggressive scoping, fast cycles, zero ambiguity
Validate before you build; design fast research cycles and kill your own ideas when the data says so
Tie every initiative to a business metric with a measurement plan before development begins; own the full loop through post-launch impact
Keep the CEO, R&D, and GTM aligned with clear communication and crisp decisions
Build repeatable systems for customer research, competitive intelligence, and internal feedback loops.

As a Senior Product Designer at our company, you'll transform raw product concepts into shipped, high-quality designs that directly accelerate product velocity. This isn't a traditional design seat - it sits at the intersection of product strategy and visual execution, where speed of design determines speed of delivery. You'll receive rough ideas - sometimes just a sentence from a stakeholder - and turn them in to fully realized, shippable interfaces within days. Working closely with product and engineering, you'll own design slices end-to-end, operate with high autonomy, and leverage AI-native workflows to iterate at a pace that compounds the entire team's output.
Responsibilities
Design for complex systems including data-dense interfaces, edge cases, scalable UI patterns, and real-world engineering constraints
Make product decisions, not just visual ones, understanding why something should exist before deciding how it looks
Partner tightly with Product and Engineering to ship realistic, buildable designs without waiting for detailed specs
Communicate design decisions clearly, receive feedback without ego, and keep stakeholders aligned without excessive process
Use AI tools as core workflow infrastructure, including generative AI, AI-assisted prototyping, and rapid asset creation.

Were looking for a Data Analyst who combines analytical rigor, strong business judgment, and the ability to turn complex data into clear, actionable insights.
This role spans three core areas: marketing analytics for our clients, product analytics for our company, and modeling consumer behavior in AI chats using panel data.
Youll help clients understand marketing effectiveness through attribution, marketing mix modeling, and incrementally analysis. Internally, youll analyze product clickstream data to understand how customers use our company and identify opportunities to improve adoption, engagement, and retention. Alongside this, youll analyze panel and conversational data to understand how people discover brands, explore options, and progress through decision-making journeys in AI chats.
Youll own analytical projects end to end from defining the question and preparing the data to developing analytical models, validating findings, and influencing decisions. This is a hands-on role for someone who can move between business questions, event-level data, and statistical analysis and take ownership before every requirement has been defined.
Responsibilities
Own analytical quality and communication.
Marketing Analyst - Analyze marketing performance on behalf of clients, own attribution and marketing effectiveness analyses, turning measurement into client decisions.
our company Product Analytics - Understand how customers use our product, Guiding product decisions through evidence while Building a reliable foundation for product measurement.
Panel Data & AI-Chat Behavioral Modeling - Analyze how people use AI chats, modeling it using intent taxonomies, behavioral segments, etc. Produce robust, representative insights.

Were looking for a Core Full-Stack Engineer who combines strong product instincts, deep engineering skills, and the ability to move fast without compromising on execution quality.
Youll be a primary technical driver, taking significant product modules from concept through design, architecture, implementation, and production. You wont just implement finished specifications, youll partner with product and design to shape the solution, make technical decisions, and own delivery across the entire stack.
Your work will turn complex, large-scale data into fast, intuitive products for Fortune 500 marketing teams. Youll build across the entire data and application stack-from data ingestion and ETL pipelines to scalable backend services, polished interfaces, and responsive visualizations. This role combines full-stack development with hands-on data engineering, owning how data is collected, transformed, stored, and served to make exploring datasets with billions of records feel effortless.
This is a hands-on role for someone who has driven meaningful product development in a fast-growing startup and is comfortable taking ownership before every requirement has been defined.
Responsibilities
Own complete product modules from concept to production.
Build and own production data pipelines.
Design scalable data models and APIs.
Build fast, polished, data-intensive interfaces.
Drive performance across the entire stack.
Ensure data quality and reliability.
Create reusable product foundations.
Own production reliability and safe delivery.
Lead through hands-on execution.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how we use AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role: 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:
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how we use AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role: 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:
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We are looking for a Senior Product Manager to join our Business Intelligence and Reporting team in Tel Aviv.

This role will define, shape, and drive reporting capabilities that help regional finance, FP&A, publisher operations, and sales operations make better decisions. You will own the roadmap and day-to-day prioritization for initiatives within your domain, while working with the VP of Product Management and other product managers to secure broader sprint prioritization. You will take work from discovery through rollout, translating business questions into clear requirements, user stories, reporting pipelines, data models, and actionable insights.

This role is well suited to a product manager who is curious, technically fluent, and highly accountable. You will need to step into active conversations quickly, arrange the right meetings, ask direct questions, create clarity from ambiguity, and keep stakeholders and engineering moving toward delivery.

What You Will Do

Partner with regional finance, FP&A, publisher operations, and sales operations to understand business needs, workflows, pain points, and decision requirements.

Own and maintain the BI and reporting roadmap for your domain, balancing business value, technical feasibility, dependencies, and delivery capacity.

Prioritize tasks and initiatives within your area, then advocate for their inclusion in team sprints alongside the VP of Product Management and other PMs.

Drive initiatives end to end, from discovery and definition through development, release, adoption, and continuous improvement.

Translate stakeholder needs into clear product requirements, user stories, acceptance criteria, success measures, and delivery plans.

Work with data and engineering teams to build and improve reporting pipelines, data models, BI reports, and supporting data infrastructure.

Lead agile product practices for your initiatives, including backlog refinement, sprint planning, prioritization, demos, and release coordination.

Manage stakeholders across functions and geographies, communicate trade-offs, surface risks, and drive decisions without formal authority.

Validate that reporting is accurate, understandable, usable, and aligned to the business questions it is intended to answer.

Create clear documentation, release communications, and enablement materials to support adoption.

We're looking for a Senior Backend Engineer to help push our AI customer-service agents closer to fully autonomous insurance service. You'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and SMS - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. This isn't a demo or a copilot. Real customers, real money, real stakes, every day.
We believe three things matter for every role: 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:
Design, build, and own production LLM agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely
Work on our real-time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast
Shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows
Ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production
Track cost per conversation across millions of LLM calls and find the wins that cut spend without cutting quality
Own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense
Build and operate scalable backend services in TypeScript/Node on Kubernetes/AWS with deep observability - if you ship it, you own it.

Were looking for a senior-level backend engineer to join our growing Engineering team in TLV.
This role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the Product, QA, Data, and Machine Learning teams-all with the goal of delivering a seamless, joyful experience for our customers.
We believe three things matter for every role: 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 youll:
Help build our products using microservices written in Typescript (using NestJS).
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Collaborate closely with the Product team, in a self-sufficient squad to achieve the squads OKRs
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Coach and mentor other developers and help them elevate their skills.

As a Senior DevOps Engineer, youll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIAs AI infrastructure.


What You'll Be Doing:
Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations.
Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints.
Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory.
Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity.
Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations.
Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows.
Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening.
Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes.

We're looking for a Staff Product Designer to help shape the future of how we design- not just by doing great work, but by raising the bar for everyone around you.
This role sits within our Product Design team, based in Tel Aviv. You'll take on the broadest, most complex design challenges we have - owning them end-to-end, driving decisions across teams and disciplines, and influencing how we think about product and design at a company level.
We believe three things matter for every role: 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.
We don't expect designers to know every tool or model. We do expect genuine curiosity - using AI in your process, designing experiences that couldn't exist without it, and staying open to rethinking the work, not just accelerating it.
In this role you'll:
Lead the design of our most complex, high-impact product areas - owning scope end-to-end from problem definition through delivery
Drive decisions across Product, Engineering, Data, and leadership, bringing design perspective into the room early and often
Mentor and elevate designers across the team - through feedback, collaboration, and raising the standard of what great work looks like
Communicate clearly and confidently to all audiences - from teammates to senior leadership, internally and externally
Shape how we approach AI-powered experiences, and help the wider team think bigger about what AI makes possible
Contribute to the strategic direction of our design systems and set the quality bar for craft across the team
Spot gaps in how we work and take ownership of fixing them - whether that's process, tooling, or how design shows up in the product org.

Were looking for a Senior Backend Engineer to help build the core systems powering our company- the infrastructure, APIs, data pipelines, and AI-driven engines behind the product.
Youll own major parts of the backend, work closely with Product, AI, and Frontend, and ship features that are scalable, observable, and secure.
What you will do
What Youll Do
● Build scalable, production-grade backend systems that power our companys core product and AI capabilities
● Own features end-to-end: clarify requirements, design architecture, implement, test, ship, monitor, iterate
● Design and build services that support complex workflows (including AI-driven flows)
● Improve system reliability: observability, monitoring, incident readiness, performance tuning, and cost awareness
● Collaborate tightly with Frontend, Product, and AI/ML to deliver fast iterations with high quality.