Senior Product Manager

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8851452

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30/09/2026

Technical Product Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

our company's product does the work a SecOps engineer does: it investigates coverage gaps against live enterprise security data, authors and tests detection logic, and tunes noisy alerting. That means product decisions here are SecOps engineering decisions, and they need someone who has actually done the job. You'll join our company's product team and own the detection engineering surface of the product - what good coverage analysis looks like, what correct detection content looks like, what a security team should be able to trust the product to do on its own. we are defining a category around Security Operations Resilience, and the fastest way to get that right is to be genuinely credible with the SecOps engineers we're building for.
What you'll be doing
Drive the detection product domain: Bring deep expertise in SecOps engineering across SIEM, data pipelines, and SOAR, and help the product team define where the product should excel. Develop a strong understanding of the day-to-day work of SecOps engineers and the challenges they face.
Turn expertise into product insight: Conduct deep, hands-on research across real security environments, SecOps engineering practices, data, and tooling. Combine customer feedback with your own experience and the knowledge of the broader team to identify meaningful problems, opportunities, and product directions.
Shape and execute the roadmap: Translate product insights into a focused roadmap aligned with company strategy and customer needs. Partner with the product and engineering teams to prioritize initiatives, make tradeoffs, define outcomes, and drive execution from discovery through delivery.
Turn problems into product direction: Translate ambiguous problems into clear product requirements and actionable plans. Work closely with engineering, design, and security experts to ensure complex technical problems are translated into products that are useful, intuitive, and technically sound.
Shape and evaluate AI agent capabilities: Define what our companys AI agent should be capable of doing as a SecOps engineer, what good looks like, and where it must be trusted or constrained. Develop evaluation frameworks, scenarios, and ground truth to measure and continuously improve agent performance.
Own product quality and outcomes: Maintain a deep understanding of how the product is used in real-world security operations. Validate assumptions, identify gaps, and use customer feedback, product data, and operational experience to continuously improve the product and its direction.

Requirements:
Detection engineering depth: 5+ years in detection engineering or security engineering, with detections you personally wrote, tested, tuned, and maintained in production.
SecOps stack fluency: Hands-on experience with SIEM, SOAR, security data pipelines, or security data lakes, including the query languages and data source configuration work that comes with them.
Content and automation experience: Comfortable building detection content, wiring up data sources, and building automated response workflows - and opinionated about where each one breaks.
Product instinct, not necessarily a product title: You can get from "this is broken" to a clear, buildable spec without being handed a template. Prior Product Manager or Technical Product Manager experience is a strong plus.
Communication that lands both ways: You can hold a deeply technical conversation with a SecOps engineer and a clear one with a security leader. Experience working directly with customers or external security teams is a strong advantage.
Curiosity about AI in the loop: Interested in how AI and ML change detection and monitoring, and willing to reason carefully about what an agent should and shouldn't be trusted to do inside a customer's security environment.
0-to-1 judgment: Comfortable in an early-stage environment with an emerging category, limited existing structure, and a high bar for ownership.

This position is open to all candidates.

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8837823

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30/09/2026

Product Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Product Lead to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

You will lead product vision and execution for critical capabilities that help organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will be accountable for turning complex customer problems into scalable product solutions, driving alignment across teams, and ensuring measurable customer and business outcomes.

This is a high-visibility, high-impact role with true ownership, where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform.

What Youll Do:
Own Product Strategy & Vision (End-to-End)
Define and own the product vision, strategy, and long-term roadmap for core AI security domains.
Make clear prioritization decisions based on customer value, business impact, and technical constraints.
Act as the product owner and decision-maker throughout the entire product lifecycle.

Requirements:
What you bring:
5+ years of experience in Product Management or Product Leadership roles, ideally in cybersecurity, AI, or enterprise platforms.
Proven experience owning products end-to-end, from strategy through production and adoption.
Strong technical background (software engineering, data engineering, or equivalent).
Ability to lead complex, ambiguous problem spaces and make confident product decisions.
Experience working directly with enterprise customers and leading evaluations/POCs.
Excellent communication skills visual, verbal, and written with the ability to simplify complexity.
A strong sense of ownership, bias to action, and comfort in fast-paced startup environments.

Nice to Haves
Experience as a Product Lead or senior PM in early-stage, product-led startups.
Background in ML/AI systems, AI observability, or model governance.
Experience building internal platforms or developer-facing products.
Familiarity with LLM workflows, RAG pipelines, or multi-model orchestration.

Nice to Haves
Strong data-driven mindset with experience using analytics to guide product decisions.
Deep understanding of security implications across modern AI development lifecycles.
Familiarity with enterprise SaaS sales motions and B2B onboarding flows.

This position is open to all candidates.

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8838253

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30/09/2026

LLM Product Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for exceptional individuals to join our team and to partner in creating a set of consumer grade software experiences. We collaborate constantly and continually look for ways to work better together.
This team operate like an innovative startup within Workday: fast-moving, highly collaborative, and deeply technical, while still benefiting from Workdays scale and stability. Youll partner closely with product, engineering, data labeling, design, and go-to-market teams to ship consumer-grade, AI-first experiences that help recruiters and hiring teams spend more time with people and less time with software.
About the Role
As an LLM Product Manager on the company team, you will own the product lifecycle for core LLM-powered capabilities across candidate and recruiter experiences.
Youll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization.
One key part of this role is hands-on AI evaluation. You will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. Youll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience.
You will:
Own AI-driven features, including candidate and recruiter-facing experiences.
Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact.
Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies.
Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments.
Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements.
Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes.
This role is ideal for someone excited to be in the weeds with AI systems-understanding how they behave, why they fail, and what to adjust to make them meaningfully better for real users.

Requirements:
Basic Qualifications:
4+ years of experience as a Product Manager (or technical role with clear PM trajectory).
Proven experience delivering LLM-based products into production (handling latency, costs, guardrails, and real-user edge cases).
Hands-on experience with GenAI architectures & evaluations: Strong grasp of RAG, prompt engineering, and core LLM evaluation frameworks (e.g., benchmark datasets, output validation).
Strong cross-functional collaboration skills, bridging technical teams (DS/Eng) and non-technical stakeholders (CSM, Business).
Proven ability to turn ambiguous problems into clear product decisions and priorities.
Other Qualifications:
Experience building agentic workflows or complex multi-agent systems (e.g., tool use, function calling, autonomous execution).
Prior experience in HR Tech or Talent Acquisition workflows.
Hands-on experience building/optimizing fine-tuning or RLHF pipelines.
Track record in a fast-paced 0→1 / early-stage product environment.

This position is open to all candidates.

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8837663

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חברת השמה / כח אדם

04/09/2026

Machine Learning Engineering Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Requirements:
3+ years leading an ML engineering team of a minimum of 4 people in a fast-paced production environment.

Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).

Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, scaling ML models, etc.

Experience designing and executing end-to-end solutions for deploying different ML models.

Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Deep understanding of machine learning algorithms, statistical models, and data structures.

Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).

Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.

Excellent English communication skills, both written and verbal.

Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels

Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators.

This position is open to all candidates.

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8809571

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30/09/2026

Senior Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Senior Data Scientist to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

In this role, you will design, build, and productionize advanced models that help organizations secure AI systems across data, models, and runtime usage. Youll work closely with Product, Engineering, and Security teams to turn complex, real-world security problems into scalable, high-impact AI solutions.

This is a high-impact, hands-on role with true ownership, where your work directly shapes the intelligence powering a category-defining AI Security platform.

What Youll Do:

Own End-to-End Model Development (Research → Production)

Take full ownership of the model lifecycle: problem definition, research, prototyping, training, evaluation, deployment, and ongoing optimization.

Design and build scalable ML / AI solutions to detect, analyze, and mitigate AI-related security risks.

Ensure models are robust, explainable, and production-ready in real-world enterprise environments.

Partner Deeply with Product & Engineering

Collaborate closely with Product Managers to translate customer pain points and security requirements into clear modeling objectives.

Work hands-on with engineering to integrate models into production systems and data pipelines.

Balance research depth with pragmatic execution and business impact.

Build AI Security Intelligence

Develop capabilities across areas such as AI behavior analysis, anomaly detection, model governance, data risk detection, and usage observability.

Work with structured and unstructured data, including logs, prompts, model outputs, and metadata.

Continuously iterate on models based on usage patterns, feedback, and emerging threat vectors.

Lead Research POCs & Innovation

Stay at the forefront of LLMs, applied ML, and AI security techniques and bring new ideas into the product.

Requirements:
What You Bring:

5+ years of experience in Data Science or Applied ML roles.

3+ years of backend development experience, working with production systems.

Strong hands-on experience with language models / LLMs and modern ML techniques.

Bachelors degree in Computer Science (or equivalent practical experience).

Proven experience owning end-to-end research POCs, from ideation to real-world impact.

Strong understanding of product and business value, with a bias toward lean, effective solutions.

Deep understanding of language models.

Nice to Haves

Experience in AI security, application security, or threat detection.

Background in LLM workflows, RAG pipelines, prompt analysis, or multi-model systems.

Experience building internal platforms or developer-facing ML tooling.

Previous experience in leadership roles such as Tech Lead or Team Lead.

Startup experience, especially in early or growth-stage companies.

This position is open to all candidates.

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8838218

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7 ימים

Senior ML Research Engineer 25769

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

Requirements:
What You Bring
5+ years of hands-on work in machine learning / deep learning, including 3+ years focused on NLP / language models.
Proven track record of training and fine-tuning transformer-based models (BERT-style, encoder-decoder, or LLMs), not just consuming hosted APIs.
Strong programming skills in Python and at least one major deep learning framework (PyTorch preferred; TensorFlow).
Solid understanding of transformer architectures, attention mechanisms, tokenization, positional encodings, and modern training techniques.
Experience building data pipelines and tools for large-scale text / log / code processing (e.g. Spark, Beam, Dask, or equivalent frameworks).
Practical experience with ML infrastructure, such as experiment tracking (Weights & Biases, MLflow or similar), job orchestration (Airflow, Argo, Kubeflow, SageMaker, etc.), and distributed training on multi-GPU systems.
Strong software engineering practices: version control, code review, testing, CI/CD, and documentation.
Ability to own research and engineering projects end-to-end: from idea, through prototype and controlled experiments, to models ready for integration by product and platform teams.
Good communication skills and the ability to work closely with non-ML stakeholders (security experts, product managers, engineers).

This position is open to all candidates.

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8840766

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30/09/2026

Senior Product Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Senior Product Manager to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

You will define and drive the roadmap that helps organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will translate customer needs into actionable requirements, guide cross-functional execution, and ensure customers realize business value quickly and consistently.

This is a high-visibility, high-impact role where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform.

What Youll Do:
Drive Product Strategy & Roadmap
Define and own the product vision, roadmap, and priorities for core AI security workflows.
Translate market insights, customer feedback, and company goals into clear product direction.
Lead End-to-End Product Execution
Write crisp PRDs, use cases, and UX flows that bring clarity to complex technical problems.
Partner with engineering and design to ship features rapidly and iteratively.
Partner with Customers
Work closely with enterprise customers to understand risks, workflows, and success criteria.
Lead evaluations, POCs, and adoption programs to ensure customer value realization.
Enable AI Security Outcomes
Drive the development of capabilities across data protection, AI governance, observability, and secure AI operations.
Align product decisions with emerging standards, compliance requirements, and threat models.
Collaborate with GTM teams on packaging, messaging, and enablement.
Communicate roadmap, timelines, and impact to internal and external stakeholders.

Requirements:
What you bring
7+ years of Product Management experience, ideally in cybersecurity, AI, or enterprise platforms.
Technical background in software engineering, data engineering, or another highly technical role.
Demonstrated ability to lead complex products from concept to production.
Strong understanding of security challenges, compliance requirements, or data governance.
Proven ability to work with enterprise customers and manage evaluations/POCs.
Excellent communication skills visual, verbal, and written with the ability to simplify complex concepts.
Strong problem-solving skills and the ability to get things done in fast-paced environments.

Nice to Haves
Experience in early-stage, product-led startups.
Background in ML/AI systems, AI observability, or model governance.
Experience with data-driven product decision-making and usage analytics.
Understanding of security implications in modern AI development lifecycles.

This position is open to all candidates.

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8838247

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23/09/2026

Product Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an AI Product Manager to join our product team and lead our Platform and shape the next generation of AI developer tools. This is a high-impact role for someone who thrives at the intersection of technical depth, user empathy, and product thinking. This role is ideal for someone who has worked on technical or developer-facing products, is deeply customer-oriented, and is comfortable rolling up their sleeves when needed.

Own the product lifecycle for one or more product areas - from ideation and requirements through delivery and go-to-market enablement.
Work closely with R&D teams on a daily basis - participating in technical discussions, helping shape architecture trade-offs, and ensuring the team has clear, well-defined requirements.
Spend significant time with customers: conducting discovery interviews, understanding pain points firsthand, and translating insights into product decisions.
Enable the sales and customer success teams with the knowledge, materials, and positioning they need to land deals and drive adoption.
Define and validate product opportunities through customer research, data analysis, and competitive intelligence.
Translate complex technical concepts into clear product requirements and crisp user stories.
Drive cross-functional alignment across engineering, design, sales, and customer success to ensure launches land well.
Establish and track success metrics, running experiments and iterating based on evidence.
Be the voice of the developer - obsessively understanding how developers work, what they struggle with, and where AI can genuinely help.

Requirements:
Requirements
5+ 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 enterprise products.
Experience building and managing platform 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.
Background in software engineering or experience as a technical lead.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8831045

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אירעה שגיאה בשליחת פרטיך למשרה

07/09/2026

AI Product Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for exceptional individuals to join our team and to partner in creating a set of consumer grade software experiences. We collaborate constantly and continually look for ways to work better together.

This team operate like an innovative startup within Workday: fast-moving, highly collaborative, and deeply technical, while still benefiting from Workdays scale and stability. Youll partner closely with product, engineering, data labeling, design, and go-to-market teams to ship consumer-grade, AI-first experiences that help recruiters and hiring teams spend more time with people and less time with software.

As an AI Product Manager on the Paradox team, you will own the product lifecycle for core LLM-powered capabilities across candidate and recruiter experiences.

Youll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization.

One key part of this role is hands-on AI evaluation. You will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. Youll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience.

You will:

Own AI-driven features, including candidate and recruiter-facing experiences.

Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact.

Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies.

Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments.

Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements.

Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes.

Requirements:
Basic Qualifications:

4+ years of experience as a Product Manager (or technical role with clear PM trajectory).

Proven experience delivering LLM-based products into production (handling latency, costs, guardrails, and real-user edge cases).

Hands-on experience with GenAI architectures & evaluations: Strong grasp of RAG, prompt engineering, and core LLM evaluation frameworks (e.g., benchmark datasets, output validation).

Strong cross-functional collaboration skills, bridging technical teams (DS/Eng) and non-technical stakeholders (CSM, Business).

Proven ability to turn ambiguous problems into clear product decisions and priorities.

Other Qualifications:

Experience building agentic workflows or complex multi-agent systems (e.g., tool use, function calling, autonomous execution).

Prior experience in HR Tech or Talent Acquisition workflows.

Hands-on experience building/optimizing fine-tuning or RLHF pipelines.

Track record in a fast-paced 0→1 / early-stage product environment.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8813360

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שליחה

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המשרה נמחקה

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אירעה שגיאה בשליחת פרטיך למשרה

30/09/2026

Senior Product Manager - Maternity Leave Replacement

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Temporary

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.

Requirements:
What will I Bring:

5+ years of product management experience, ideally in business intelligence, reporting, analytics, SaaS, or a related technical environment.

Demonstrated product management maturity and ownership, with the ability to move work forward independently and follow through to completion.

Experience working directly with business stakeholders to uncover the right questions, challenge assumptions, and turn ambiguity into an actionable plan.

Strong stakeholder management, communication, and influencing skills, including the ability to lead without formal authority.

Experience partnering with engineering and data teams on complex requirements, dependencies, trade-offs, and delivery decisions.

A bias toward action, strong attention to detail, and the confidence to proactively create momentum rather than wait for direction.

Bachelors degree in computer science, engineering, business, or a related discipline.

Experience That Is Helpful:

SQL, data modeling, warehouse design, semantic layers, and reporting pipeline concepts.

BI tools such as Looker, Tableau, or Datorama.

Distributed data stores and relational database management systems, including Vertica or Druid - based reporting services.

Financial reporting, FP&A, margin analysis, publisher operations, or sales operations.

Agile development practices and experience working with globally distributed teams.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8837994

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