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Requirements:
Required Experience & Skills
3+ years of Product Management experience, preferably in iLottery, iGaming, or supervised digital products
Proven understanding of online lottery products and player behavior
Experience working in agile development environments
Data-driven attitude with strong prioritization and partner management skills
Nice to Have
Experience with instant win, draw-based, or hybrid iLottery games
Familiarity with multi-jurisdictional regulatory environments

Requirements:
In this role, you will join a highly strategic and central product area that is currently scaling rapidly.
At least 3 years of hands-on experience in Product Management including B2B products.
Highly analytical and methodical approach to problem solving.
Great communicator who is able to clearly convey messages in written and oral form (in English).
Proactive, highly motivated, and a team player who takes full ownership on projects.
Working experience with customers based in the US/EU.
BA/BSc in computer science or other STEM fields.
Experience with products that include computer vision and Machine/Deep Learning technology.
Huge advantage - previous experience working algorithms developers team.

Nice to have:
Previous experience working as a software / algorithms developer.

Requirements:
6+ years of experience as a product manager in a fast-paced, growth-focused environment
Deep expertise in growth methodologies, including A/B testing, conversion optimization, and engagement strategies
A data-first mindset, with strong analytical skills and experience leveraging insights to inform decisions
End-to-end product execution skills, from strategy and ideation to implementation and optimization
Exceptional communication and storytelling skills, with the ability to influence stakeholders at all levels
A hands-on, proactive mindset - youre not afraid to dive in and make things happen
Ready to work in an office environment most days of the week.

Requirements:
At least 5 years experience working as a product manager in a successful startup / fast-growing company - a must
Hands on experience with building GenAI applications - a must
Capable of understanding complex processes, and identifying areas calling for improvement
Experience with automating manual processes - a big plus
Self-organized, process driven
Data-driven and analytical thinker
Fully fluent in English, with top-notch communication skills
Experience leading small, agile teams
Self-learning individual who reads constantly and loves to pass on their knowledge to others
Ready to work in an office environment most days of the week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture.

Requirements:
7+ years in product management, ideally at a startup or product-led company
A track record of owning strategy end to end, finding the opportunity, aligning leadership, and shipping to production
Deep growth experience across acquisition, activation, engagement, and monetization
Strong analytical instincts and the ability to turn messy data into clear decisions, working hand in hand with data analytics
The communication and influence to align stakeholders across an entire organization
A hands-on, execution-focused mindset that stays close to the work through launch and beyond
Real enthusiasm for building with AI, it's core to how we work, not a side project
Ready to work in an office environment most days of the week.

Requirements:
8+ years of product management experience building platform products at scale, with a track record of thinking architecturally and owning products from 0 to 1
Proven ability to define product vision, build roadmaps from scratch, and make the hard calls on what to build and why
Hands-on with AI tools - you don't just follow trends, you actively use AI to move faster and make better product decisions
Experience taking products from 1 to a billion, with a track record of overseeing complex adoption and integration efforts
Cross-team leadership experience with a history of aligning stakeholders and driving complex, multi-team initiatives forward
A computer science degree or substantial hands-on development experience
Ready to work in an office environment most days of the week.

Requirements:
10+ years of product management experience in a successful startup or fast-growing company
Hands-on experience building and deploying GenAI applications and working with LLMs at scale
A proven track record of automating complex, manual processes and scaling foundational workflows
Strong ability to deconstruct and optimize intricate, multi-step systems and data-heavy user journeys
A data-driven, analytical approach - someone who turns platform metrics into meaningful product decisions
Fluent English with sharp communication skills across technical and non-technical audiences
A self-organized, process-driven approach to managing competing priorities and leading cross-functional agile teams
A genuine curiosity for new technology - you read constantly, experiment often, and love sharing what you learn
Ready to work in an office environment most days of the week.

Requirements:
3-5 years managing consumer-facing (B2C or B2B2C) products, with a track record of driving real business results - e-commerce experience is a strong plus.
Experience building for the US market, with a feel for what American users expect.
Comfortable working in short, iterative cycles (agile).
Strong sense for good user experience.
A proven knack for getting cross-functional teams aligned and moving - even when no one reports to you.
Clear, confident communication, both written and spoken.
Fluent English and Hebrew; knowledge of Russian is a plus.
Self-starter who takes on more, acts independently, weighs risks, and goes after opportunities.
Equally at home on the creative side and the analytical side, you let data guide your decisions.
Sharp attention to detail while juggling several projects, staying steady under pressure, and hitting deadlines.
Hands-on with AI tools like Gemini and Claude for product discovery and idea generation - ideally using them to solve real problems, not just experiment.
A natural leader inside the company.
Positive, organized, creative, and driven.

Requirements:
3 - 6 years total product management experience, with a track record of shipping impactful, customer-facing features at a B2B or B2C SaaS company.
PLG / Self-serve product experience [Must Have] - 2+ years as PM on a self-serve SaaS product with a PLG motion (freemium, free trial, or usage-based). You have owned activation and retention funnels, not just features.
Martech / Ad-tech / Advertising platform knowledge [Must Have] - Deep familiarity with Google Ads and/or Meta Ads: campaign structure, conversion tracking, pixel setup, audience targeting, and the day-to-day workflow of a PPC advertiser. You speak the advertiser's language.
Experimentation discipline - Experience designing, running, and correctly interpreting A/B tests. You treat every roadmap decision as a hypothesis waiting to be validated.
SMB market empathy - Deep understanding of small and mid-sized business constraints: budget sensitivity, speed of decision-making, and the outsized value of simplicity in a product.
Strong analytical skills - Comfortable with product analytics tools (Mixpanel or similar) and SQL basics. You question the data before acting on it.
Relevant pricing & packaging experience - You have worked on subscription tier design, trial mechanics, upgrade flows, or usage-based pricing in a self-serve context.
NICE TO HAVE
Experience in click fraud prevention, invalid traffic detection, or digital ad verification.
Background in security-adjacent SaaS - bot detection, traffic quality scoring, or ad verification platforms such as DoubleVerify or IAS.
Experience owning products with third-party API integrations - ad platforms, CRMs, analytics tools, and the technical complexity they bring.

Requirements:
4+ years of product management experience with a track record of leading strategic initiatives.

Deep industry knowledge in martech platforms, advertising networks, or marketing analytics.

Experience with major advertising and analytics platforms (Google Ads, Facebook Ads, AppLovin, Google Analytics, Adobe Marketing).

Previous experience at high-performing product management teams with proven ability to scale product organizations.

Strong technical background with ability to engage deeply with engineering teams and understand complex technical concepts.

Exceptional leadership and communication skills with experience coordinating large, cross-functional teams.

Data-driven decision making with strong analytical capabilities.

Experience in SaaS, preferably in the marketing technology space.

Excellent written and verbal communication in English.

Requirements:
5+ years of experience as a Product Manager, with a track record of owning and delivering complex product initiatives.

Strong security domain knowledge - deep understanding of how security teams operate, the challenges they face, and the tools and architectures they rely on (e.g., SIEM, SOAR, CSPM, EDR, IAM).
Proven ability to operate at both the strategic and tactical levels - capable of setting a long-term vision while also managing the nitty-gritty details of execution.
Proven ability to lead complex technical product initiatives end-to-end, from discovery to launch, including full GTM execution.
Experience planning and executing product launches in close partnership with GTM teams - including positioning, enablement, and cross-functional coordination.
AI-first mindset - you actively use AI tools to accelerate your own PM workflow (research, synthesis, spec writing, prototyping)
Experience working with automation platforms, workflow engines, APIs, and integrations.
Strong cross-functional collaboration skills, working effectively with Engineering, Design, GTM, and Customer Success.
Experience working with large enterprise customers in fast-paced, dynamic environments.
Security Domain Knowledge.

Requirements:
Have 5+ years experience as a product manager, with a proven background in SaaS products .
Experience shipping agentic AI products to end-users at scale.
Passionate about creating and building new products.
Experience working in established SaaS companies with significant operations that include Sales, Marketing, CS, Support, and internal tools.
Comfortable working on platform-like capabilities, workflow systems, automation, integrations, permissions, AI-powered products, or other technically complex domains.
You enjoy taking responsibility and ownership over the products you create.
You have technical understanding, ideally with experience building user management and permissions for enterprise customers.
Fluent or very proficient in English.
Enjoy working as part of a high-performing team.

Requirements:
5+ years of demonstrated experience working as a data or product analyst, preferably at a growing tech company.
Degree in Industrial Engineering, Statistics, Economics or another quantitative field
Confirmed ability to surface key insights that subsequently drove business changes with measurable lift in performance.
Fluency in common statistical analysis methods; and specifically, the ability to quickly separate data from noise.
Proficiency using SQL and Excel for data querying and manipulation; comfortable using additional data access and analysis tools.
Experience with product analytics methodologies.
Passionate about producing high-quality accurate analytics deliverables.
Ideally, you are experienced in creating and maintaining dashboards using data visualization tools such as Tableau, Looker, or similar.
Self-motivation, proactively going beyond the call of duty.
Creativity and strategic thinking.
The ability to work comfortably in a constantly evolving environment.

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:
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