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anyone can ship an ai agent. shipping one thats right ~98% of the time, with no human checking its work, takes different engineering. thats what this team builds.
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 at the company: 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
what you'll need
6+ years building production-grade backend systems that real users depend on
hands-on experience shipping llm-powered features to production, including honest reckoning with non-determinism, hallucination, and cost
an evaluation mindset - you don't call a change "better" without a measurement, and you're comfortable with the statistics that back that claim
a track record of debugging distributed systems in production, and the discipline to find root cause across service boundaries
fluency with agentic coding tools like claude code or cursor, including the habit of treating ai-generated code with a senior reviewer's skepticism
the ability to pull your own numbers, design your own experiments, and measure your own impact
ready to work in an office environment most days of the week

senior BI engineer
location: givatayim, israel experience: 5+ years work model: hybrid
we are
at the company, were revolutionizing how businesses understand the digital world by showing them everything that happens online. our unique data and solutions empower over 13,000 customers worldwide -including google, ebay, and adidas - to make game-changing decisions that drive their digital strategies. we went public on the new york stock exchange in 2021, and were still reaching new heights! come join our teammates across the globe who are bright, curious, practical, and genuinely good people.
we are looking for
we are looking for an experienced talented BI engineer to join our data team in givatayim. you will take end-to-end ownership of our data modeling, serving as the architect of the "source of truth" that powers our company's most critical strategic decisions. this is a hands-on engineering role: you will ship production code (sql, dbt, Python ) through a git-based ci/cd workflow, use ai coding tools to move faster, build and implement ai based solutionsto turn the data into a critical part of decision making.
what youll do
define the source of truth: take raw, complex data and transform it into clean, well-structured tables that product analysts and business leads can use for high-stakes decision-making. you know how to build a table that is intuitive and easy for other analysts to query.
translate strategy into logic: work with product, marketing, gtm analysts to turn abstract concepts into precise sql definitions and automated datasets.
maintain data integrity: act as the guardian of our metrics. you will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.
enable high-tech initiatives: partner with our ai and data service specialists to ensure they have the structured data foundations they need to build models and external data products.
build scalable models: design, build, and maintain production-grade data models using dbt, ensuring code is modular, tested, and documented.
engineer with ci/cd discipline: treat analytics code like software. work through pull requests, automated tests and deployments (github/gitlab), code reviews, and version-controlled environments, so every change to the source of truth is tested before it ships. build with ai: use ai coding assistants (cursor, claude code) in your daily workflow to speed up modeling, testing, documentation, and code review, and help the team define how we use them responsibly. make data ai-ready: build well-documented models with clear definitions and a consistent metrics layer, so analysts, ai agents, and data products can rely on the same trusted data.
take part in building agentic solutions to support 24x7 solutions
this is a perfect job for someone who has:
experience of 5+ years of prior experience in a relevant analytics/technical role (analytics engineer, BI engineer, BI Developer or data engineer).
sql mastery: expert-level sql skills. you can write complex queries, optimize performance, and debug legacy code with ease.
dbt expertise: proven hands-on experience with dbt. you are comfortable with jinja templating, incremental models, and package management.
data modeling: experience with ETL processes and strong understanding of data warehousing concepts (amazon redshift/ snowflake) and modeling methodologies.
product & business acumen: you understand saas metrics (arr, funnels, activation, etc.) and how data logic impacts product growth and strategy.
ci/cd & git workflows: hands-on experience with git and ci processes for data projects: pull-request reviews, automated tests on every change, and automated deployments of dbt projects. ai-assisted development: practical, day-to-day experience using ai coding tools (cursor, claude code) to build faster, and the judgment to review and validate ai-generated code before it ships.

Product Manager - ai transformation
were looking for an exceptional Product Manager to join our ai transformation team and help reshape how the company operates in the ai era.
this is not a traditional product role focused on managing a feature backlog.
youll work across the organization to identify high-impact business problems and processes, understand how they work today, and determine how ai, agents, automation, data, and software can fundamentally improve them.
youll take opportunities from problem discovery prototype pilot production adoption measurable business impact.
what you'll do
identify high-impact opportunities for ai transformation across business functions such as sales, customer success, marketing, operations, finance, and product.
deeply understand existing workflows, user pain points, bottlenecks, and manual processes.
redesign workflows around ai rather than simply adding ai features to existing processes.
rapidly prototype solutions using llms, agents, apis, automation platforms, and ai-assisted development tools.
work closely with engineering, data, business stakeholders, and leadership to turn successful prototypes into scalable products and systems.
define clear success metrics and measure business impact, including productivity, automation, conversion, quality, cost savings, and revenue impact.
run pilots with real users, learn quickly, and iterate based on data and feedback.
evaluate when we should build, buy, integrate, or automate rather than defaulting to building software internally.
drive adoption and organizational change - not just product delivery.
stay close to developments in ai and continuously identify new capabilities that can create meaningful business value.

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 the company. 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 the company: 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

we're looking for a senior backend engineer to help build and scale the Machine Learning platform that powers how the company uses 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 at the company: 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 user communication product leader to own and evolve how the company communicates with customers - across every product surface, channel, and ai-powered experience we ship.
this isn't a traditional writing role. the company puts the written word at the core of everything, and you get to lead it. you'll own our internal system that enables humans and ai to explain complex insurance moments simply, consistently, and at scale. you'll set the bar for what "the company's style" means in practice, and work through the most advanced and nuanced communication challenges we face.
we believe three things matter for every role at the company: 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 product voice and communication quality through our internal system, setting the bar for clear, concise copy that reduces friction and turns confusing moments into intuitive ones - getting to the mind and heart of our users to drive real outcomes
define how we use and scale UX copy, support macros, and ai-generated product communication across human and automated channels
continuously improve output quality through training, evaluation, and feedback loops, and monitor copy quality across all product surfaces
maintain and evolve communication guidelines in collaboration with stakeholders, positioning automation and scalable systems that enable teams to produce the company-quality communication efficiently
act as the subject-matter expert on what makes communication "the company's style," ensuring alignment between human and automated experiences so customers receive a consistent voice regardless of channel
define and promote best practices for integrating ai into customer-facing experiences while maintaining clarity, trust, and brand consistency
bridge product and customer-facing teams to ensure consistent, clear explanations across support macros, partner comms, inside sales, and agents
partner with support to identify recurring confusion points and address them at the source through copy, flows, automation, and education.

we're looking for a strategy & ops senior lead, to drive profitability and growth while leading strategic initiatives that move the company forward.
you'll work as a "mini-coo" for our product lines, tackling the biggest business challenges while collaborating on cross-functional projects that take ideas from 0 to 1. this role sits at the intersection of strategy, operations, and execution - where data meets decision-making and where your leadership directly impacts our mission to transform insurance.
we believe three things matter for every role at the company: 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
drive profitability and growth strategies for our business as a strategic business partner
lead cross-functional initiatives that span product, insurance, finance, and customer operations teams
take strategic projects from concept to execution, working across multiple stakeholder groups
analyze complex business challenges and translate insights into actionable recommendations
influence decision-making at the leadership level while building alignment across diverse teams
navigate rapidly changing priorities and guide teams through strategic pivots
partner with product, actuarial, finance, and revenue teams to optimize business performance

we're looking for a senior backend engineer to help build and scale the Machine Learning platform that powers how the company uses 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 at the company: 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 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 the company'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 the company: 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 a data warehouse tech lead to drive the technical vision and execution of our data infrastructure that powers decision-making across all of the company.
you'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. this role combines deep technical leadership with strategic business partnership as we build the company's next-generation data stack.
we believe three things matter for every role at the company: 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 technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
manage the technical roadmap - set strategy and guide execution for the data warehouse team, ensuring our platform evolves with business requirements
drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with r&d, analytics, and external data providers
establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL /elt processes for our semantic layer
establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
lead cross-team collaboration - work directly with data engineers, ml platform engineers, data scientists, analysts, and product managers to align technical solutions with business goals

we are looking for a Product Marketing leader with deep strategic thinking and a passion for translating product value into clear, compelling customer narratives.
in this role, you will sit at the intersection of Product Strategy, customer insight, and marketing execution, owning the storytelling behind our most important initiatives and ensuring consistency across every customer touchpoint.
you will lead product value articulation end to end, from market and customer research, through defining core usps and shaping launch narratives, to execution across landing pages, email, and full funnel marketing experiences.
we believe three things matter for every role at the company: 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 positioning and messaging for new products, major features, and strategic initiatives, defining what is new, why it matters, and why now
translate Product Strategy and capabilities into clear, differentiated customer value that resonates across segments
shape launch narratives end to end, from early go-to-market alignment with product teams through post-launch optimization
lead qualitative and quantitative customer research to uncover real motivations, needs, and objections, and use those insights to sharpen messaging
guide copy and narrative direction across landing pages, lifecycle emails, and marketing funnels to ensure consistent and compelling product storytelling
improve conversion and feature adoption by continuously testing, measuring, and refining how we communicate value
reduce go-to-market friction by embedding messaging strategy early in the product development process
partner closely with leadership and cross-functional teams to shape go-to-market strategy, align on product narratives, and strengthen customer-facing communication across channels