דרושים » ניהול ביניים » Senior Product Manager - Maternity Leave Replacement

As a Sr Product Manager , you will lead a dedicated cross-functional pod responsible for a specific area of the VantagePoint platform. You will own the pods product strategy, roadmap, discovery and delivery-working closely with engineering, product design and business stakeholders to solve meaningful customer problems and deliver measurable outcomes.

This is an individual-contributor role with significant product ownership. You will lead through influence and shared direction rather than through direct people management.

Focus of the Role
Lead the product direction and day-to-day execution of a dedicated VantagePoint pod.
Develop a deep understanding of the pods customers, users, market and business objectives.
Translate customer and business needs into a clear product strategy and prioritized roadmap.
Create alignment across engineering, design and commercial teams.
Deliver product improvements that support customer satisfaction, adoption, retention and revenue growth.
Key Responsibilities
Product Strategy
Own the product strategy and roadmap for the VantagePoint capabilities within your pod.
Work with product leadership and relevant department leaders to ensure the pods direction supports the wider company and product vision.
Identify customer problems, market opportunities and product improvements through research, data and stakeholder feedback.
Build clear business cases and define the expected customer and commercial outcomes of product initiatives.
Communicate priorities, decisions and trade-offs clearly across business functions and geographies.

We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.

This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.

The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.

Youre welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include:

Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.

In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.

Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.

our company helps modern, mid-size businesses transform the way they manage people, giving HR teams and managers everything they need to connect, engage, develop, and retain top talent.
Our platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies around the world rely on Bob to create exceptional employee experiences.
As part of our companys Core HR product organization, you will help shape the foundational product experiences that power how companies manage people, structure, processes, and critical HR operations at scale.
About the Role
We are looking for an experienced and impact-driven Senior Product Manager to join our companys Core HR product organization.
Core HR is one of the most strategic foundations of Bob. It powers the people data, company structure, configurable operating model, employee lifecycle processes, and operational workflows that help companies run and scale their people operations.
This is a high-impact role for a product leader who wants to build products that sit at the heart of how companies operate. You will shape experiences that help organizations structure their workforce, run critical HR operations, and make confident people decisions at scale.
As a Senior Product Manager in Core HR, you will own a meaningful product area and turn complex customer needs into simple, scalable, and trusted product experiences. Your work will directly influence customer trust, operational efficiency, product adoption, and Bobs ability to scale globally.
This role is ideal for a product leader who enjoys solving complex B2B SaaS problems, working closely with customers, collaborating across multiple product and engineering teams, and building products that become core to daily business operations.
Job responsibilities
Own a strategic Core HR product domain from discovery through delivery, launch, adoption, and ongoing iteration.
Shape product experiences that become part of the operating backbone for modern HR teams, managers, and employees.
Define and execute a roadmap that supports Bobs growth and enterprise-grade customer experience.
Turn complex HR, workflow, configuration, planning, or data needs into intuitive product experiences and scalable product behavior.
Deeply understand customer needs, market trends, operational pain points, and business priorities, and translate them into clear product opportunities.
Lead product discovery with customers, prospects, customer-facing teams, and internal stakeholders.

We are looking for a Senior Product Manager, Fintech to lead financial products, payment experiences, cash management flows, and financial operations tools across the ecosystem, with a clear mission: enabling heavy cash users to access the same digital benefits, marketplaces, and financial convenience that are usually available only to digitally paying customers.

What Will You Do
Understand financial ecosystem, including payments, cash management, settlements, and operations.
Act as the primary go-to person, providing strategic direction and clarity on fintech and financial product domains across the organization.
Define and execute the fintech product roadmap, prioritizing initiatives that improve payment reliability, financial accuracy, compliance, and scalability while providing digital access for cash-first users.
Lead new Fintech and cash management solutions, ensuring secure financial flows across payments and settlements.
Partner with Engineering, Finance, Operations, and Data teams to translate complex requirements into scalable systems, automated controls, and clear dashboards to monitor KPIs and efficiencies.
Create clear documentation, rollout plans, and training materials to support adoption and ensure financial products remain auditable and aligned with internal stakeholder needs.
Collaborate with Fraud and Security teams to ensure system integrity.

As a Senior Product Manager at our company, you will sit at the intersection of data science, engineering, and product, translating complex ML and causal inference capabilities into a product our customers love. You will work hand-in-hand with our data science and the engineering teams to shape how models are designed, evaluated, and delivered into production.
Own a significant part of the product roadmap for our value measurement platform, with a focus on data science driven features (causal inference, incrementality modeling, attribution, and media mix optimization) and customer onboarding.
Partner closely with data scientists from problem framing through experimentation, model validation, and productization, youll be expected to critically read model specs, challenge assumptions, and help prioritize research directions based on customer impact
Define success metrics and evaluation frameworks for ML models alongside the DS team, balancing statistical rigor with business usability
Own the UX of data-heavy features: collaborate with designers and data scientists to turn complex model outputs into intuitive user flows, clear visualizations, and dashboards that customers can actually act on
Design and prioritize dashboards, reports, and in-product analytics, defining what metrics to surface, how to visualize uncertainty and causal results, and how to make insights discoverable without overwhelming the user
Run user research and customer interviews to validate both the analytical value and the usability of features, and onboarding integration; translate findings into concrete design and product improvements
Translate customer problems into well-scoped technical and design requirements; translate model outputs and methodology into clear value propositions for customers
Prepare the implementation of features and support engineering, design, and DS teams through design reviews, QA, and launch, including writing acceptance criteria that account for model behavior, edge cases, data quality, and UX states (empty, loading, partial data, error)
Ensure data integrity through testing, acceptance tests, and ongoing monitoring across our diverse range of data products
Work with clients and internal stakeholders to understand business goals, identify relevant KPIs, and feed those insights back into the product, modeling, and dashboarding roadmap
Oversee end-to-end data flow and engineering processes, collaborating with ML, data, and engineering teams to ensure efficient and accurate operation during critical phases like client onboarding and daily production runs
Strategically plan for missing or imperfect data, designing product behavior and UX for new client onboarding, process failures, client-specific configurations, long-term seasonality, and external signals/features
Drive experimentation: help design A/B tests, back-tests, and validation studies to assess the impact of new models, features, and UX changes.

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.

We are looking to hire a Senior Product Manager, reporting to the CPO, to execute on the product roadmap and innovation. Youll take high-level direction, a market constraint, a we need to own this workflow end to end, and turn it into a specification precise enough to build against, then carry it from definition through deployment.

What youll do

Translate company roadmap into deliverable requirements (PRDs): user stories, states, edge cases, data contracts, acceptance criteria, success metrics
Work closely alongside software engineers to align on technical specifications, feature requests, and workflow optimizations
Own the full delivery cycle: discovery, definition, design partnership, sprint execution, QA, launch, adoption
Design for genuinely different personas with conflicting needs: underwriters and analysts who live in the product all day, deal flow partners who touch it a few times per deal, borrowers who see it once, and credit stakeholders who need to trust its output
Work directly with analysts and underwriters to understand the real workflow, including the parts that happen outside the system
Define where automation ends and human judgment begins, and make those checkpoints legible in the UI
Apply strong analytical skills to establish clear KPIs, ensuring product deliverables generate measurable business impact rather than just task completion.

We're searching for someone with approximately 5 years of experience in driving impactful solutions that cater to the unique needs of finance teams in small and medium-sized businesses.
If you are passionate about solving customers' problems and excel at collaborating closely with talented teams to deliver meaningful solutions, then this role is the perfect fit for you! Join us in transforming how finance teams work and helping businesses thrive.

What You'll Do
Own features and product development through a full life cycle (e.g., ideation, design, implementation, launch).
Engage with customers and our customer success teams to identify and prioritize our customers' problems and needs, gather feedback to iterate on existing products, and identify opportunities to drive solutions that best solve these problems while advancing our business goals.
Dive into data and conduct market research to identify trends and understand the competitive landscape to inform product development decisions.
Collaborate with cross-functional teams, including engineering, design, marketing, and sales, to drive successful product development and launches.
Create and maintain a comprehensive product roadmap, ensuring alignment with business stakeholders.
Create and maintain product documentation, including user guides and training materials.

We're looking for a Senior Data Product Manager to lead our analytics and insights platform. At the core of the role is owning the story data tells: speaking the language of C-suite and senior executives, and translating complex data into clear insight and business impact, helping health system leaders gain unique insights on their business and their patients. You're a true data enthusiast with strong business sense and an analytical mindset: you proactively identify opportunities, build conviction, and align stakeholders to drive execution. And you care about the customers behind the data. You sit with users, understand how they consume data and where they get stuck, and turn that into product direction.

You'll join our Platform group and lead the strategy, roadmap, and execution of Hyro's analytics and insights platform. This core system turns data into actionable insight for our customers, powering customer-facing reports, our insight engine, and the underlying data infrastructure.

This is a senior IC role with end-to-end ownership over a critical, highly strategic product area. You'll work at the intersection of data, business, and engineering, translating a deep understanding of customer needs, business goals, and the technical aspects of the platform into an analytics strategy that drives growth.

Responsibilities
Define and drive the strategy, roadmap, and prioritization for our analytics product.
Own the end-to-end experience of our analytics product - including customer-facing reports and our insight engine, the primary way customers and internal stakeholders consume data-driven insights.
Partner closely with engineering and data teams to build and evolve the data infrastructure that powers reporting and insight generation.
Translate customer, business, and market insights into clear product direction and high-impact initiatives.
Define success metrics, track performance, and use data to inform decisions and communicate impact.
Partner with and present to senior leadership and C-level stakeholders, translating data into business strategy and growth opportunities.