דרושים » AI » Product Manager - Agentic AI

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:
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

Requirements:
5+ years of product management experience in B2B, B2B2C, or B2G SaaS environments, preferably in cybersecurity or threat intelligence domains.
Proven experience building and executing product roadmaps in startup or high-growth environments.
Strong user empathy with a customer-centric approach to UX/UI, specifically focused on improving the user experience and workflows, reducing cognitive load in complex security workflows and dashboards.
Excellent collaboration skills with the ability to work cross-functionally across engineering, research, and go-to-market teams.
Full professional proficiency in English and Hebrew, with strong communication skills and experience presenting to clients, conducting webinars, and leading feedback sessions.
Proven experience leading data-rich product initiatives (e.g., threat intel feeds, dashboards, analytics), with a strong analytical mindset. Must be highly analytical and comfortable working hands-on with databases, queries, scripting, and data visualization tools to explore data, validate hypotheses, and support decision-making in a fast-paced threat environment.
Great advantage:
Familiarity with cyber threat intelligence (CTI), threat research, and related standards and frameworks (e.g., MITRE ATT&CK, STIX/TAXII), including hands-on experience with CTI platforms or attack surface monitoring tools.
Experience with integrations into SOC/SIEM/SOAR platforms.
Familiarity with agentic AI concepts or AI assistants for cyber operations.

Requirements:
3+ years of Product Management experience, preferably in cybersecurity, AI, SaaS, developer tools, or enterprise software
Proven track record of leading products from concept to launch
Strong customer-facing skills and experience conducting customer discovery
High ownership, accountability and leadership skills
Ability to navigate ambiguity and make decisions in fast-moving startup environments
Excellent communication and stakeholder management skills
Strong analytical thinking and product prioritization capabilities
Experience working closely with technical teams and translating technical concepts into customer value
Entrepreneurial mindset, self-driven, curious, and eager to define the next frontier of enterprise security
Nice to Have:
Experience in cybersecurity, application security, cloud security, or AI products
Experience building platform products or workflow-driven enterprise software
Experience working in high-growth startups
BSc. in Computer Science, or technical background in software engineering, security, or data products

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:
8-15 years in data, analytics, or BI with at least 4 years in a VP or senior leadership role.
Deep expertise in modern data stack: Snowflake/Redshift/BigQuery, dbt, Looker/Tableau/Power BI.
Hands-on experience with semantic layer design and metric governance at scale.
Strong SQL fundamentals; Python is a plus.
Demonstrated ability to build and transform teams. Hands-on and not just a manager.
Experience working in PLG or GTM-heavy SaaS environments.
Proven experience with AI/LLM applications and agentic workflows development. You understand how data feeds into models and agents.
Track record of cross-functional influence without authority.

Requirements:
3+ years of product management experience, ideally in a startup environment
Technical background - either through a software engineering background, hands-on development experience, or meaningful experience working on technical products such as developer tools, infrastructure, or APIs
Deep customer orientation - youve spent real time with customers, you know how to uncover pain points, and you can turn those conversations into product direction
Proven ability to own a product end-to-end: not just writing specs, but driving the full cycle from idea to launch to adoption
Strong technical foundation - you can read code, understand system architecture, and have meaningful conversations with engineers without needing a translator
AI Mindset, youre comfortable adopting AI tools and being in the bleeding edge, youre constantly looking for ways to become more productive with AI
Data-driven mindset - you know how to instrument a product, design experiments, and use data to sharpen decisions
Exceptional communication skills - you can write clearly, run tight meetings, and influence without authority
Startup DNA - comfortable with fast iteration, shifting priorities, and wearing multiple hats
Bonus Points
Experience working on B2B or enterprise products
Experience with AI/ML products is a strong plus - especially familiarity with LLMs, code generation, or developer productivity tooling
Youve shipped products that integrate with IDEs, CI/CD pipelines, or code review workflows
You have experience with PLG (product-led growth) motion
Background in software engineering or experience as a technical lead.

Requirements:
6+ years of product management experience in B2B SaaS or platform-oriented environments

Experience working on AI-powered products, preferably including GenAI

Good technical understanding and ability to work closely with engineers on complex systems

Familiarity with concepts such as LLMs, retrieval, or data-driven systems (hands-on experience is a plus)

Strong product thinking, ability to balance user needs, business goals, and technical constraints

Experience working with data, metrics, and experimentation

Ability to work across teams and drive alignment in ambiguous environments

Strong communication skills and ability to clearly articulate product decisions

Requirements:
At least 5 years of B2B Product Management experience in enterprise software or cybersecurity companies.
Proven experience building and delivering security products.
Strong domain expertise in cybersecurity, including cloud security, data protection, application security, threat detection, security operations, or related areas.
Experience working on AI-powered products, Generative AI solutions, AI platforms, or AI-driven user experiences.
Strong understanding of modern AI technologies, including Large Language Models (LLMs), AI agents, orchestration frameworks, tools, and AI application architectures.
Demonstrated ability to lead complex product initiatives from concept to launch in fast-paced environments.
Strong technical aptitude and ability to work closely with highly technical engineering and research teams.
Excellent communication, prioritization, and stakeholder management skills.
Proven ability to influence and drive alignment across cross-functional teams.
Technical background as a software engineer, security engineer, security researcher, solutions engineer, or similar technical role.

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.