דרושים » תוכנה » Hands-On R&D Lead - Agentic Data Infrastructure

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.

We are seeking a talented and motivated Data Scientist for a temporary position to support our growing data, analytics, and AI automation needs. This role focuses on turning large volumes of data into models, insights, and intelligent automation - combining classic data science (statistical analysis, feature engineering, machine learning) with the emerging Agentic AI stack (LLMs, MCP, agent orchestration). You will work closely with data engineers and internal teams to prototype and productionise models, build LLM-powered agents and workflows, and support the integration of AI capabilities across the organization.

The ideal candidate is passionate about data and AI, comfortable navigating complex systems, and excited by the opportunity to operationalize AI within a modern enterprise environment. We value curiosity as much as experience: we are looking for someone eager to show what they know, and equally eager to keep learning in a field that moves fast.


Responsibilities
Explore, analyze, and model large volumes of structured and unstructured data in Python, from exploratory analysis and feature engineering through to model validation and communication of results.
Design, train, evaluate, and deploy machine learning models, and monitor their performance, accuracy, and drift in production.
Build and orchestrate Agentic AI solutions - LLM-based agents, RAG pipelines, prompt design, and evaluation frameworks - to automate data quality checks, investigation, and reporting workflows.
Integrate models and agents with internal systems and data sources using MCP servers and clients, and workflow automation platforms such as n8n.
Write efficient and maintainable SQL queries to support analysis, reporting, and data exploration needs.
Collaborate with data engineers to productionise models and agents: reliable data flows, logging, alerting, and performance tuning.
Participate in the development of internal tools and dashboards that make data and AI capabilities accessible across the organization.
Share findings with the team and help evaluate emerging AI tooling as the ecosystem evolves.

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.

We are looking for a Head of Product, where you will be the "CEO" of Fullpath's CRM business unit - one of the most strategically critical and newest additions to our product portfolio. You will have full end-to-end ownership of the domain's strategy, product roadmap, and engineering execution, leading an integrated team of Product Managers, Engineering Managers, and Developers. The CRM domain sits at the heart of how automotive dealerships manage their customer relationships and sales pipeline. It is a technically complex, data-intensive product: a per-dealer, multi-tenant system deeply integrated with dealership back-office systems and third-party data sources, with a rapidly growing AI and agentic layer. Your mission is to make this domain a category-defining product.
Your goal is to drive meaningful business outcomes by leading both product strategy and execution, breaking down the wall between product and engineering, and ensuring the team stays aligned, focused, and moving fast toward impact.
This role will be based out of Jerusalem or Tel-Aviv and report to the VP of Product & Development
What you will be responsible for:
Strategic Leadership: Define the vision and long-term strategy for the CRM domain in alignment with the company's overall goals - including its evolving AI roadmap.
Product-Engineering Integration: Lead an integrated organization of product managers and engineers. Foster a culture where "the business outcome is the mission," and technical excellence serves business value.
End-to-End Delivery: Own the full lifecycle of your domain - from discovery and ideation to architecture, development, and production.
Business Impact: Define, track, and be accountable for the domain's KPIs (revenue, retention, dealer engagement, churn).
People Management: Manage, mentor and grow high-performing Product and Engineering managers. Build a culture that prioritizes ownership and accountability.
Operational Excellence: Optimize team methodologies to sustain high delivery velocity without accumulating technical debt.

We are a fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for a Senior Product Manager to join our team and lead our CDP strategy. If you are a creative, solutions-oriented individual who is ready to put your career in drive, we are the place for you! This role is based in Tel-Aviv or Jerusalem and reports to the Head of Product.

What you will be responsible for:

* Own the strategy and roadmap for the CDP's data layer and its data sources, balancing the reliability, scale, and integration quality of a foundational layer with the pace of a live, revenue-generating product.
* Translate complex technical and architectural tradeoffs into product requirements and business impact, connecting platform decisions to adoption, ARR/MRR, and churn.
* Own both sides of the product lifecycle: the inbound work of discovery, specification, and technical decision-making, and the outbound work of launch, enablement, and adoption with customers and CSMs.
* Engage directly and regularly with customers, CSMs, and internal stakeholders, turning real-world data and integration challenges into product decisions.
* Partner closely with R&D leads and engineering to shape and execute the roadmap.


The top candidate will also have:

* A background in marketing technology or finance-adjacent domains
* Passion and curiosity for emerging technologies, particularly applied AI
* Comfort operating with startup speed and urgency, balanced with the organization a foundational platform demands
* Experience working with international engineering counterparts or a parent company / strategic partner structure
* Openness to occasional travel to the US
* Strong leadership skills and a genuine desire to mentor others
* You are a storyteller who can distill compelling narratives from technical complexity and endless detail

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters.
* A front-row seat to the strategic decisions shaping the company at a pivotal moment.
* Direct partnership with the C Level leadership team - exposure, ownership, and visibility from day one.
* Learning and growth opportunities within a fast-paced tech startup environment. As a part of our team, your success in this role is crucial to our company's growth, and we are committed to supporting you.
* Of course - Wolt+ and lots of yummy office treats! Sound amazing? Apply in e-mail.

As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.
In this role, you will take ownership of the end-to-end machine learning lifecycle-from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.
What You Will Be Doing
Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time.
Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.
Agentic Workflows: Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning, logic routing, and investigation paths.
Adversarial Analysis: Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors, loops, and coordinated attacks.
Feature Engineering: Build and optimize real-time streaming and batch features to improve model signal and precision.
Experimentation & Monitoring: Design rigorous shadow-testing and A/B testing frameworks for new models. Set up continuous monitoring pipelines to catch data drift and performance degradation early.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.

At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities:

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are looking for a Principal Product Manager to join our team. This is a hybrid capacity in our Israel/Tel Aviv Office role, reporting to the Senior Director, Product Management in the Security Operations Platform Product Management department. Join our data fabric and secops platform team, work in the dashboards, reporting and measurement product areas. Lead the product effort for platform reporting and dashboarding, as well as advanced semantic capabilities such as calculated dimensions, measurements, aggregations and custom KPI capabilities, enabling best-in-market product capabilities and UX that will be used by our security operations applications offerings and personas.

What youll do (Role Expectations)

Lead product discovery by deeply understanding customer problems, business goals, and operational constraints across reporting and dashboarding products that serve multiple security operations use cases

Define the product vision and roadmap for AI-powered, simple platform reporting and dashboarding capabilities from discovery through planning, UX, documentation, customer validation, and launch

Work day-to-day with engineering to prioritize backlogs, clarify scope, and ensure high-quality execution

Collaborate with applications product managers, and customers to facilitate feedback and success across multiple personas and use cases, partnering with go-to-market, sales, and customer success teams to support pilots, launches, and customer adoption

Measure product success using adoption, usage, customer value, and business outcome metrics

We're looking for a Senior Product Manager to own one of the most strategic surfaces at our company: the space where partners build their sites and turn visitors into customers. It's a rare combination - a product used by a demanding professional audience every single day, and a wide-open opportunity to define what AI-native building and growth automation look like.
This is a high-ownership role for a PM who operates like a builder: someone who forms a sharp point of view, prototypes instead of writing decks, and has already made AI a core part of how they work. If you're energized by ambiguous, high-impact problems and want the room to shape a product from strategy to ship, this is for you.
What you'll do
Own the strategy and roadmap for your squad - grounded in company goals, data, competitive research, and a deep understanding of how partners work.
Define how AI transforms the building and growth experience: content that generates itself, messaging that personalizes at scale, and agentic flows that take multi-step work off partners' plates.
Drive the product end to end - from the core building experience partners rely on daily to the automation tools that help them grow.
Lead and inspire an empowered team of engineers, QA, and designers, alongside a technical team lead.
Set the KPIs that matter and use them to steer - adoption, engagement, and real partner outcomes.
Partner closely with stakeholders across the company, and be the clear voice of your product's strategy and progress.

We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in Tipalti's proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.