Requirements:
We expect you to have:

5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.

Requirements:
4+ years in product management across at least two companies or roles, with a track record of shipping products that developers or technical users rely on.
Shipped an AI-powered product.You know what it takes to get an AI product or feature into production at a quality bar that users trust.
Technically grounded. You've experimented with APIs, MCP, CLI, and similar surfaces. You can think like the engineer you're building for and hold your own in technical conversations.
Obsessed with experience. You care deeply about how something feels to use, not just what it does. Whether it's a UI, API, chat, or CLI interface, you've worked closely with designers and engineers to make each surface right, and pushed back when something wasn't good enough.
Analytical. You work with both qualitative and quantitative data to drive decisions. You define success metrics before you ship and use them to decide what to do next.
Hands-on with AI. AI tools are part of your daily workflow. You have a real thesis on where AI for developers is heading, and you can articulate why.
Strong communicator. You explain product decisions clearly, inspire the team around a direction, and can tell the story of what you're building to customers and executives alike.
Collaborative by default. You share credit, ask for input, and make the people around you better. You've pulled a team forward on something hard, not just contributed to it.

Requirements:
What You Bring
5+ years of Product Management experience delivering successful, high-impact B2B software products.
Proven domain expertise in insurance, ideally in insurtech and specifically claims management, with a track record of shipping products for the industry.
Hands-on experience with AI-driven products, ideally involving LLMs, agentic workflows, or decision-support & automation.
A proven record of owning full product lifecycle development and driving complex features from concept to live production.
Experience collaborating with UX/UI designers on user journeys, product flows, and polished experiences.
Excellent collaboration and leadership skills, with the ability to influence and drive execution across teams.
Outstanding written and verbal communication skills in English (Hebrew a strong advantage, but optional depending on your preference).
Fast learner - highly curious, autonomous, proactive, and capable of thriving in a fast-moving environment.
Strong process management, organization, and attention to detail.
Creative thinker with strong problem-solving skills and a bias toward delivering impact.
You'll Excel If You Have
Experience spanning both core platform and AI products, and comfort moving between them.
Experience working in a growth-stage startup, especially one experiencing rapid scale.
Exposure to regulated industries where trust, safety, and reliability matter.

Requirements:
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What Were Looking for (Minimum Qualifications)

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain

3-5 years of Product Management experience with SaaS BI and analytics products

Proven experience delivering complex dashboarding, reporting, and semantic data capabilities spanning UI/UX as well as deep technical backend drivers

Proven experience working with multiple engineering teams across geographies within a global tech company

What Will Make You Stand Out (Preferred Qualifications)

Experience defining product requirements for AI-driven insights, natural language querying (NLQ), or automated data synthesis within security analytics platforms

Previous experience as a hands-on analyst in the security space or an adjacent domain, working with analytics and BI solutions to provide stakeholder KPI reporting

Prior product management experience at top industry security operations solutions

Requirements:
What we're looking for
4+ years in product management at a SaaS company, with a track record of shipping products people actually use.
A builder's instinct - you move fast, prototype your ideas, and turn ambiguity into a plan without waiting to be told how.
AI is already in your bloodstream: you use it daily to work faster, and you've shipped AI-powered features with a strong point of view on where it creates real value versus hype.
Strong strategic and analytical thinking with a growth mindset - you make decisions from data and customer insight, not opinion.
Excellent communication and the ability to align cross-functional teams and stakeholders.
Comfort with technical depth and platform-scale products.
Experience with marketing automation, email, CRM, or growth/engagement metrics is a strong plus.

Requirements:
5+ years of experience as a Product Manager demonstrating the ability to oversee the delivery of products from start to finish.
Proven experience working with SaaS B2B products and with complex systems.
Hands-on experience working with generative AI tools in day-to-day product management work (e.g., research, prototyping, spec writing, and data analysis).
Experience in balancing deep empathy for customer needs, frustrations, and aspirations with strong analytical skills and being able to make informed decisions.
Excellent communication skills ability to effectively engage with multidisciplinary teams and accommodate the diverse needs from various disciplines and teams.
Quick learner who can swiftly grasp new information, whether technical or business-related, and apply it effectively.
Possesses the ability not only to work but to thrive in a fast pacing and always changing environment.
Background in finance accounting or economics with Advanced skill level in excel - an Advantage.
Proven experience implementing AI within the product, having shipped AI-powered features to users - an Advantage.
Deep knowledge of data, analytics, and data analysis tools, such as: SQL, R or Python - An advantage

Requirements:
5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.

Requirements:
4+ years in product role in cybersecurity.
Real depth with data. Either discipline: the building side (modeling, pipelines, warehousing, analytics) or the product side (owning a data platform, defining schemas, shaping what a data layer exposes). What matters is that you've worked with data as a system, not as a dashboard.
You turn data into value. You look at a schema and see what it unlocks - which questions become answerable, which decisions become automatable. You're not satisfied with a correct model that nobody can use.
You're comfortable in the details. You're able to understand entity relationships decisions engineers make , sit in integration design reviews, and write requirements precise enough to build from.
Nice to Have:
Background in IAM, IGA, or PAM - you know what an entitlement, a group, and a joiner-mover-leaver process actually are
Product management experience, especially owning a platform or infrastructure component that other teams build on
Experience with agentic AI or LLM-based systems - particularly how context and knowledge get structured for a model to act on reliably
Experience working with customer-facing or POC teams, turning field signal into roadmap.

Requirements:
8+ years of hands-on product management experience. Youve shipped products that mattered and can point to the impact.
Youve owned a product at a meaningful revenue scale and know what it takes to keep a mature product moving forward through real complexity.
Strong product and UX sense. You see the line between what users ask for and what actually drives long-term value, and youre obsessed with intuitive user experience.
Resourceful and relentless. You break through walls, work outside formal boundaries, and find a way when there isnt an obvious one.
Effective leadership. You build trust fast and are able to rally individuals and teams around a joint mission.
Analytical and data-driven mindset. Youre comfortable working with metrics, usage patterns, and qualitative insights.
Excellent English communication. You can walk a room through a hard trade-off and leave everyone aligned, whether theyre technical or not.
Robust technical background. Youre comfortable engaging with engineers across hardware, firmware, AI, data pipelines, web, and mobile. You dont need experience in all of these, but you need the depth to lead product decisions across a complex stack.
Curious and adaptive. You dont cling to playbooks, youre always looking for better ways to build products, especially as AI reshapes whats possible.

Requirements:
The Ideal Candidate:
3-5 years of experience as a product manager on SaaS products, OR 2+ years in PM following an engineering role.
Strong product sense for UX and UI. You understand user pain and can shape an experience that fits it.
Genuine interest in AI products. You're curious about how they behave, how they fail, and how they earn user trust.
Enough technical fluency to work closely with engineering and reason about how the product is built and consumed.
Data-driven, with the ability to ask the right questions.
Excellent interpersonal skills, able to drive teams and interfaces without direct authority.
Strong communication. You can move between a customer conversation, a design review, and an engineering spec without dropping the thread.
Computer Science degree or equivalent technical background.

Nice to Have:
Experience with AI/LLM products or agent-based interfaces.
Experience evaluating and improving product quality with metrics and experimentation.
Background in security, DevOps, or automation platforms.
Experience partnering tightly with Design on visual, interaction-rich products.