Role Description Intetics Inc. is looking for a Senior Product Manager to join our dynamic team. This highly visible role plays a key part in defining and executing a sales automation solution. - Define and evolve the product vision, strategy, and roadmap - Design, document, and present business cases - Inspire the team to deliver on product roadmaps bringing new products and outcomes to the market - Implement best-in-class product management practices - Analyze market trends and performance drivers to identify new product and growth opportunities - Leverage data to optimize the product suite - Establish consistent, sustainable customer input points to steer product direction, feature design, and prioritization - Develop and monitor product KPIs and metrics driving the business feedback loop - Prepare and present product-related updates for different levels in the organization - Participate in trade shows, demos, customer meetings, and conferences to evangelize our products - Support the sales team with product information, messaging, and positioning - Participate in the creation and evolution of marketing and sales tools - Identify potential partners or complementary solutions that may benefit the product Qualifications - 5+ years of experience in Product Management - A great presentation style, teamwork, and communication skills - Demonstrated experience leveraging analytics to define product direction - Strong product management skills, including roadmap planning, business case creation, prioritization, negotiation, and consensus-building - Strong technical knowledge and experience working closely with technical staff - Very strong attention to detail - Ability to interact with partners, customers, and staff professionally - Thoughtful promotion of iterative process improvement - Experience with agile software development - Experience in customer relationship management and customer experience management preferred - Experience with sales or solution consulting is an asset - Experience in data science, machine learning, and AI large language models (LLMs) - Ability to apply modern AI/ML methodologies to product strategy, feature design, and automation use cases - Understanding of model lifecycle, data pipelines, and evaluation metrics for ML-powered features

• Product Planning & Lifecycle Management: Responsible for the end-to-end product lifecycle of Customer Service (CS) management systems, specifically focusing on Quality Assurance (QA), Performance Management, Learning & Training systems, and Notification Centers. • Multi-Channel Support Optimization: Maintain and enhance multi-channel service tools (Ticketing System, Email, Whistleblowing, Outbound), ensuring stability and operational efficiency for global CS teams. • Efficiency & Intelligence: Leverage AI and automation to upgrade traditional management workflows. Examples include AI-assisted QA scoring, automated performance reporting, and smart task distribution. • Stakeholder Collaboration: Partner closely with CS Management, QA, Training, and Compliance teams to identify operational bottlenecks and translate complex business requirements into scalable product solutions. • Data-Driven Iteration: Monitor key usage metrics of internal tools (e.g., system adoption rate, processing time) and utilize data insights to drive continuous product optimization and reduce administrative overhead.

Role Description We are looking for an AI-Agentic Product Owner to join the Alternatives & EasyApache Team on the CloudLinux OS Web Stack project within ELS. As the AI-Agentic Product Owner, you will orchestrate a high-velocity engineering team using AI-driven development. Instead of spending time in long alignment meetings, you will focus on shipping product by cutting through bureaucratic overhead and technical debt. In this role, you will drive the adoption of AI tools such as Claude, Cursor, ChatGPT, and Gemini across the team and integrate AI into everyday engineering workflows: - Stakeholder collaboration: Communicate with stakeholders and coordinate with support and other teams to resolve client issues; use AI where helpful to summarize context, draft responses, and maintain internal knowledge. - Automation and efficiency: Drive automation of routine tasks such as version updates, patch management, monitoring, and testing, using AI tools to accelerate scripting, code review, and documentation. - Technical collaboration: Work closely with engineers on Linux-based systems and infrastructure, helping guide technical decisions, automation strategies, and packaging workflows. - Operational improvement: Identify opportunities where AI can reduce operational toil, improve consistency, or surface issues earlier (e.g., code review support, CVE triage, dependency analysis). - Release management: Participate in release management and use AI-assisted tooling to support release notes, changelogs, and release communication. - Quality engineering: Design and maintain automated test suites; leverage AI to generate, extend, and refactor tests and to analyze test failures. - Agile delivery: Own Scrum execution and Jira workflow management, ensuring efficient and transparent delivery processes. - Process development: Build and improve team workflows, documentation, and operational runbooks, using AI where it helps create clearer and more consistent processes. - AI adoption leadership: Lead the team’s adoption of AI tools (Claude, Cursor, ChatGPT, Gemini), share effective prompt patterns and workflows, and track improvements in cycle time, productivity, and quality while ensuring outputs are properly reviewed. Qualifications - 3+ years of experience leading teams with a focus on Delivery. - Deep workflow with tools like Cursor and LLM agents to accelerate the SDLC. - Extensive experience implementing automation that removes humans from the loop. - 3+ years of deep GNU/Linux experience. - Upper-Intermediate+ English proficiency for effective communication. Requirements - Agentic Leadership: You lead by doing. - AI-First Orchestration: Understanding of AI to bypass manual documentation. - Systemic Automation: Ability to script in Shell or Python. - Linux/Infrastructure Backbone: Knowledge of infrastructure pivots. - Candid Communication: Ability to intercept bad ideas and communicate a United Vision. Benefits - A strong focus on professional development with opportunities for learning and growth. - Interesting and challenging projects. - Mentor and other knowledge-exchange programs. - Fully remote work with flexible working hours. - Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. - Compensation for private medical insurance. - Co-working and gym/sports reimbursement. - Opportunity to receive a reward for the most innovative idea that the company can patent.

• Collaborate with Product Managers to formulate our product vision, strategy, and roadmap • Own the product backlog, balancing conflicting priorities to determine prioritization • Own the release planning and sprint planning processes, including setting release and sprint goals, and successfully delivering on those goals • Provide an active role in mitigating risks and issues impacting successful team completion of release and sprint goals • Proactively identify and solve problems by investigating root causes, developing solutions, and clearly articulating what resources or actions are needed to resolve issues before they impact delivery • Ensuring acceptance criteria are met with current release and conducting sprint reviews from a business/customer perspective. • Producing documentation with Product Managers and Marketing to support development, launch, support, services, and sales and marketing initiatives • Performing detailed product demonstrations for external and internal audiences to communicate the benefits of the solution • Serving as a subject matter expert to assist with sales and support as needed.