We are seeking an experienced AI Product Manager with a strong technical background to lead the development and evolution of our groundbreaking AI Autopilot product. This role is responsible for steering initiatives that dramatically increase operational efficiency by leveraging autonomous AI to resolve IT issues, automate Tier 1 support, and empower customers with true self-service IT. You will shape the future of our platforms AI capabilities, making a bold impact on both the IT management software industry and the daily lives of IT professionals and end users.
Responsibilities:
Lead and manage a dedicated AI squad, comprising cross-functional team members such as AI/ML engineers, developers, and product designers.
Drive the strategic vision and roadmap for our AI Autopilot module, defining priorities based on customer needs, automation opportunities, emerging AI trends, and competitive benchmarks.
Collaborate intensively with stakeholders to understand market trends, organizational pain points, and the evolving competitive landscape related to autonomous IT and agentic AI.
Define and prioritize AI-driven product requirements, orchestrating feedback from users, market analysis, and internal specialists to maximize impact and adoption.
Own the full AI product lifecycle, from ideation and prototyping to launch, continuous optimization, and post-release monitoring, with a focus on delivering measurable improvements in IT workload automation, ticket resolution speed, and user experience.
Collaborate closely with our CTO, design, engineering, customer success, analytics, marketing, and support teams to steer AI development, deployment, and iterative enhancement.
Establish and monitor KPIs for Autopilot usage, SLA improvements, and automation impact, using analytics to refine AI workflows and effectiveness.
Champion secure, ethical, and compliant use of AI, ensuring privacy and governance within all automation flows.
Work directly with design partners and customers to deliver a 100% market fit product.

We are looking for an experienced Product Manager with a strong technical background to join and lead one of our squads in the IT Service Management (ITSM) domain
The ITSM domain is a core pillar of our all-in-one IT management platform. It enables MSPs and IT teams to manage ticketing, billing, contracts, SLAs, reporting, and automation workflows in a single unified system. This team plays a strategic role in driving operational efficiency and automation for thousands of IT professionals worldwide.
As a Product Manager in this team, you will shape the future of this critical product area and drive meaningful impact for our customers.
Responsibilities:
Lead and manage a cross-functional squad including developers, designers, and QA engineers.
Collaborate with stakeholders to understand market trends, user needs, and the competitive landscape, and inform product strategy and roadmap decisions.
Define and prioritize product requirements based on user feedback, data analysis, and internal stakeholder input.
Own the entire product lifecycle from concept to launch and beyond, ensuring product success and adoption.
Work closely with engineering, design, product analysts, customer success, marketing, and research teams.

We are looking for a Senior Product Manager to join our fast-growing AI & Data Science group. Reporting to our AI Product Director, you will be supporting the team building products for the next era of AI & Agentic Ecommerce - Where AI agents discover, negotiate, and purchase on behalf of users. You will lead the development of agent-ready experiences, ensuring interoperability with industry protocols, while driving measurable conversion, fraud, and cost outcomes for merchants. The ideal candidate will have a strong background in product management, a deep understanding of AI technologies, a passion for data driven insights, and the ability to translate complex technical concepts into market-leading products.
Responsibilities:
Define and execute the product roadmap for AI & Data Science solutions, aligning with company goals and market needs.
Drive the development and strategic vision for agentic commerce, agent-aware checkout and payment flows. Ensure protocol interoperability and compliance with leading industry standards such as AP2, Visa Trusted Agent Protocol, and Mastercard Agent Pay. Incorporate robust risk and trust signal mechanisms like agent verification, velocity controls, anomaly detection, and human-in-the-loop reviews, all while upholding Responsible AI guardrails.
Collaborate with cross-functional teams, including data science, engineering and commercial teams to bring products from conception to launch.
Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI & Agentic Commerce space.
Work closely with data scientists and engineers to define product requirements, prioritize features, and ensure technical feasibility.
Develop and implement go-to-market strategies, ensuring products meet user needs and achieve commercial success.
Monitor product performance, gather feedback from users and stakeholders, and iterate quickly to enhance product offerings.
Stay abreast of advancements in AI & Agentic technologies to continually innovate and improve our product portfolio.

We are looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
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.

As a Senior Product Manager, you will own a product domain and play a key role in defining its vision, strategy, and execution. Youll work with engineering, data science, security, and go-to-market teams to build impactful solutions that drive our companys mission forward.
This role is broad and flexible, welcoming candidates from various backgrounds who have experience building scalable SaaS products, cloud-based platforms, security tools, or data-driven applications. We want to hear from you whether your expertise lies in product strategy, system architecture, API development, cloud security, AI/ML, or enterprise SaaS.
What Youll Do
Define and execute product strategy, ensuring alignment with customer needs and business goals.
Work closely with engineering teams to develop technical solutions that are scalable, secure, and easy to use.
Collaborate with cross-functional teams, including R&D, UI/UX, Sales, Marketing, and Customer Success, to bring features from concept to launch.
Translate complex technical challenges into product requirements and user-friendly solutions.
Own the product roadmap, prioritize features, and drive execution while balancing speed and quality.
Lead go-to-market efforts, ensuring successful adoption, engagement, and impact.
Stay ahead of industry trends in cloud computing, data security, and AI-driven automation to inform future product direction.
Use data and customer insights to continuously optimize and improve the product experience.

We are seeking a highly skilled Senior Product Manager to drive platform integration strategy. This key role requires leading the integration of our platform with all major AI, generative AI, cloud, network, identity, and endpoint platforms. The successful candidate must have a deep technical background, be hands-on, and will be responsible for developing and owning the comprehensive integration roadmap essential for product portfolio. This includes close collaboration with other Product Managers, partners, and customers to execute the company's platform integration strategy.
product management is viewed as an engineering discipline. It involves developing a deep understanding of the true nature of customer pain points, considering their ability to act based on process, people, and technology. Simultaneously, it requires an awareness of the company's current capabilities and a vision for where the company and product need to be to truly empower the market to protect AI Agents. This is an excellent opportunity to take ownership of the product life cycle in a fast-paced startup environment.
Lead the integration of the platform with key AI and generative AI technologies, in addition to the Enterprise ecosystem.
Report directly to the Director of Product Management, offering you the opportunity to lead a strategic part of the broader platform and create clarity that enables our customers to integrate business development within the platform.
Define features and own their backlog, working closely with engineering, research, and product marketing teams to align on trade-offs and drive successful delivery.
Communicate clearly about projects, risks, and accomplishments on behalf of the team.

Were looking for a Director of AI Product Management to lead AI Assistant, MCP Server, and the evolution of agentic capabilities across the platform. This is a unique opportunity to shape how developers and organizations build, secure, and deliver software with the help of intelligent, autonomous experiences.
As a Director of AI Product Management , you will...
Define and drive the AI strategy for platform, focusing on assistant capabilities, model integration, and developer intelligence.
Lead and mentor a team of AI-focused product managers, empowering them to deliver transformative experiences across products.
Own the vision, roadmap, and execution for AI Assistant, MCP Server, and agentic experiences.
Partner with engineering, data, and design teams to build production-ready AI systems, integrating LLMs and reasoning models into developer workflows.
Shape the AI platform architecture - ensuring context awareness, privacy, and responsible model usage across all environments.
Collaborate with Go-To-Market and Customer Success teams to identify high-impact AI use cases that drive adoption, productivity, and differentiation.
Establish a culture of experimentation and measurement - defining metrics for AI engagement, success rate, and business impact.
Stay ahead of industry trends in LLMs, AI agents, and DevOps automation, bringing fresh thinking into platform vision.
Collaborate with technical teams, business stakeholders, and cross-functional product leaders to deliver a unified development platform.

We are pushing the boundaries of Software Supply Chain Security and introducing new and exciting features to developers, DevOps, and application security professionals. Were looking for a Senior Manager, Product Management to lead a team and own products throughout the product lifecycle, gathering and prioritizing product and customer requirements, defining the product strategy and go-to-market, and working closely with Engineering to deliver winning products with great user experience that customers love. It also includes managing PMs, working with customers, Sales, Marketing and Support to ensure revenue and customer satisfaction goals are met.
As a Senior Manager, Product Management you will
Lead a team of Product Managers working on one of our major growth products and lead the team to success.
Lead initiatives involving several Product Managers and teams from the different cores delivering cross-product value.
Own the full cycle of product development including ideation, competitive analysis, client validation, discovery with R&D, spec writing, launching and monitoring.
Work alongside Product Analysts, UX/UI, Product Marketing and other functions in the organization to drive successful products and feature rollouts.
Build positive relationships and trust through strong cross-team interactions and get buy-in for the product vision across internal and external stakeholders.
Identify, design, experiment, and iterate on product decisions by leveraging data and evidence gathered from customer usage and interviews, market research, and usage/adoption metrics.

We are looking for a Senior Data Products Manager to lead the strategy and evolution of our external data products, with a strong focus on customer needs and scalable, high-impact data solutions.
In this role, you will work directly with customers and internal stakeholders to understand how our data catalog is used across different use cases. Youll translate customer insights, usage patterns, and commercial input into a clear product vision and prioritized roadmap aligned with company objectives.
You will work closely with customer-facing data scientists and internal delivery teams to turn customer needs into production-ready data products. This includes collaborating with Partnerships to evaluate external data providers and defining requirements that guide the transformation of raw data into reliable, high-quality signals. You will also engage with the data pipeline itself, where different models are used to turn raw and unclassified data into coherent, scalable data products.
Responsibilities:
Own the strategy, vision, and roadmap for Exploriums external data products, guiding a delivery team of data developers and a team lead.
Lead customer discovery and translate insights into scalable product initiatives, requirements, and clear delivery plans.
Drive prioritization across competing needs, balancing customer value, business impact, feasibility, and time-to-market.
Lead the end-to-end data product lifecycle: discovery, definition, delivery, launch, adoption, and continuous improvement.
Collaborate cross-functionally with Data Science, Engineering, Sales, CS, and Partnerships to validate use cases and define measurable product success.
Write clear product specs and actionable tickets that guide the transformation of third-party data into production-grade data products.
Continuously improve existing products to expand coverage, improve accuracy, and unlock new customer use cases.
Define and track success metrics such as adoption, customer impact, accuracy, coverage, and performance.

We are looking for a Senior Product Manager to own the Customer Support and Sales domain within our proprietary commerce platform, including its integrations with third-party tools and vendors. In this role, you will be the product owner of a critical internal SaaS system used daily with direct impact on revenue protection, customer satisfaction, and operational efficiency.
You will define the product strategy and roadmap for this domain, work closely with Senior Leadership to align on priorities and trade-offs, and partner with Customer Support, Sales, Operations, Finance, R&D, Design, and Data teams to deliver scalable solutions in a fast-moving, ambiguous environment. This is a high-ownership role and the ability to drive change across the organisation.
Roles & responsibilities:
Own the end-to-end product lifecycle for internal Customer Support and Sales tools, from discovery and user research through delivery, launch, adoption, and ongoing optimization
Understand the needs, workflows, and constraints of support and sales teams, and translate business goals such as revenue protection, efficiency, and CX improvement into a clear product strategy and measurable outcomes
Design and deliver solutions that help teams resolve customer issues faster and prevent revenue loss, including proactive cancellation prevention, smarter refund and return flows, and workflow automation
Build sales-enablement capabilities that improve conversion, upsell, and cross-sell effectiveness, and average order value
Lead cross-functional execution and change management by aligning stakeholders across Customer Support, Sales, Operations, Finance, R&D, Design, and Data, and driving adoption of new tools and processes
Evaluate and integrate third-party platforms and vendors, making informed build-vs-buy decisions with a focus on scalability, cost, and long-term maintainability
Identify opportunities to simplify complex workflows, reduce manual effort, and scale operations through better product design, automation, and data
Define success metrics, track business and operational impact, and use data and qualitative feedback to continuously prioritise and improve outcomes, with visibility to senior leadership.