דרושים » הנדסה » AI Product Manager

Were looking for a Product Manager to lead LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.

As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.

Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.

What am I going to do?
Define the product vision and roadmap for LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning.
Structure from conversational and behavioral data.
Drive adoption of LLM capabilities across by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

We’re looking for a Product Manager to lead Fiverr’s LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace. As the PM for LLM Infrastructure, you’ll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. You’ll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more. Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.

What am I going to do?:

* Define the product vision and roadmap for Fiverr’s LLM infrastructure, aligning with long-term company strategy and cross-team needs.
* Lead the development of scalable systems that extract meaning.
* Structure from conversational and behavioral data.
* Drive adoption of LLM capabilities across Fiverr by building unified APIs, shared frameworks, and streamlined integration pipelines.
* Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
* Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
* Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
* Manage technical complexity and connect infrastructure efforts with clear business value.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are seeking a dynamic and innovation-driven AI Product Manager
to join our AI Group. This team plays a pivotal role in shaping the next generation of our platformbuilding both foundational AI platform capabilities and client-facing applications that touch every user segment across our customer base.
In this role, you will work at the intersection of strategic platform development and customer-centric product innovation, ensuring a healthy balance between inbound work (deep collaboration with PMs, engineering, design, and data teams) and client-facing execution (launching and iterating on features that directly impact HR leaders, employees, and managers). You'll own the full product lifecyclefrom experimentation and discovery to delivery and optimizationwhile exploring emerging technologies to keep us at the forefront of HR-tech innovation.
Youll thrive here if you bring an experimentation-first mindset and are passionate about exploring new tools, models, and frameworks that help redefine the way organizations engage with AI in the workplace.

At our company's Software Technologies, we are building the cybersecurity platform that protects the hyper-connected world. We deliver real security, trusted by the largest enterprises, and data centers globally.
Today, we are making a significant investment in artificial intelligence to revolutionize cybersecurity:
We are developing AI-driven solutions to make the work of our customers smarter, faster, and dramatically more efficient.
We are creating security technologies to protect AI itself from cyber threats, helping organizations adopt AI technologies securely and responsibly.
We are on an ambitious journey to set a new industry standard for organizations to protect themselves, fully powered by AI.
This is the time to make a huge impact.
If you're passionate about leadership, innovation, and shaping the future of cybersecurity with AI we invite you to join us.
Key Responsibilities
Lead and scale the AI Product Management, developing a high-performing team of PMs.
Define and own the AI product strategy and roadmap, aligning with business goals and customer needs.
Drive the full product lifecycle, from discovery and high-level requirements gathering to launch, and iteration.
Be the voice of the customer, ensuring our AI solutions directly address real-world challenges and deliver exceptional value.
Collaborate cross-functionally with CTO, AI Architects, R&D, data science, marketing, and customer-facing teams to execute at high velocity.
Evangelize and represent our companys AI vision and products internally and externally through keynotes, customer meetings, and industry events.
Tell the story: create compelling product narratives that clearly articulate the value of AI innovations to customers, partners, and internal stakeholders.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across Fiverr. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?:

* Take leading roles in foundational AI projects across Fiverr: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
* Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
* Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
* Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
* Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
* Continuously identify new opportunities to evolve the platform’s capabilities and streamline how AI is built and adopted across Fiverr.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We're looking for a team lead to own our AI chatbot and tech projects. Youll manage the chatbot project coordinators, guide roadmap and priorities, and lead improvements in our AI agents, autoflows, and performance. This role is a mix of project ownership, team management, and hands-on execution - focused on making our AI experience smarter and smoother for users and agents.

What am I going to do?
Lead AI chatbot and tech projects through full lifecycle: discovery, delivery, and optimization
Manage day-to-day tasks, sprints, and team priorities
Work with CS director to define and improve autoflows, AI agent performance, and related processes
Identify and lead process and AI improvement initiatives to meet customer and business needs
Track KPIs, spot gaps, and drive data-based decisions
Collaborate with product teams to enhance AI agents and automate processes
Stay updated on AI and chatbot best practices
Help team members grow by coaching, sharing knowledge, and creating opportunities to improve their skills and expertise

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

We are seeking a Staff Engineer for our AI Incubation team.
This role reports to the Chief Scientist and is a key member of a new team responsible for leveraging our extensive dataset of customer interactions to develop and validate new product capabilities.
The primary responsibility of this role is to rapidly prototype and test new Generative AI concepts, demonstrating a strong entrepreneurial spirit by transforming nascent ideas into tangible proofs-of-concept with speed and agility. Working closely with a Data Scientist, you will translate ideas from customers and internal stakeholders into functional proofs-of-concept to evaluate their technical feasibility and business potential. This role requires a self-starter who thrives on building from the ground up, embracing the challenge of bringing innovative AI solutions to life from initial concept.
Responsibilities:
Prototyping: Design, build, and deploy functional prototypes for new Generative AI features, utilizing production data sources to demonstrate technical feasibility.
Architectural Design: For validated prototypes, create high-level architectural designs and documentation to guide production implementation by core engineering teams. Ensure designs account for scalability, reliability, and security requirements.
Technology Evaluation: Evaluate emerging Generative AI technologies, including new models, frameworks, and architectural patterns (e.g. agentic frameworks, MCPs). Assess their applicability to our product and technical environment.
Collaboration: Collaborate with data scientists, product managers, and engineers throughout the prototyping lifecycle. Participate in technical discussions with customers and internal stakeholders to refine requirements.
Technical Guidance: Provide technical guidance to ensure that proposed AI features are aligned with engineering best practices, data constraints, and architectural standards.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across . As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?
Take leading roles in foundational AI projects across : developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across .

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.