• Collaboratively define the product strategy for the Billing module with your squad, stakeholders, and leadership team. • Identify, research, and prioritize work for your team based on customer feedback, operational data, and business goals. • Use data analysis, customer interviews, and competitive research to become an expert in telecom billing and revenue management. • Ensure your team consistently tackles the most impactful items by owning and maintaining the backlog. • Develop and maintain a comprehensive product roadmap for billing, aligning it with the company's growth goals and customer needs. • Lead the formulation and execution of the product strategy, ensuring the billing module meets customer needs while achieving operational efficiency. • Collaborate with Customer Success, Sales, and Implementation teams to understand billing pain points and translate them into product improvements. • Understand the technical implications of billing architecture decisions and communicate trade-offs clearly to stakeholders. • Dive deep into billing edge cases, payment workflows, and tax compliance requirements to design robust solutions. • Design solutions that reduce manual effort, minimize billing errors, and accelerate time-to-value for customers.

Role Description Commvault is looking for a Senior Product Manager to define and deliver the next generation of data protection for modern cloud database and AI workloads. In this role, you’ll drive product strategy, direction, and execution for Commvault data protection solutions that safeguard cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock), vector databases (e.g., Pinecone and others), and NoSQL databases across on-prem and public cloud environments. You’ll work closely with engineering, design, sales, marketing, and cloud/technology partners to turn customer problems into differentiated roadmap outcomes—shipping capabilities that improve resiliency, recovery performance, security, and operational simplicity. This is a hands-on role for a product leader who can dive deep into cloud architectures and database internals, move fast, and consistently deliver. What You'll Do... - Product Vision - Define and drive product strategy, direction, and a multi-release roadmap for protecting: - Cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock, and emerging managed AI services) - Vector databases (e.g., Pinecone, Milvus, Weaviate, pgvector) - NoSQL databases across on-prem and cloud (e.g., MongoDB, Cassandra, DynamoDB, Cosmos DB) and other modern data services - Identify new opportunities driven by GenAI/ML adoption, vector search, and modern cloud architectures—and translate them into shipped product outcomes - Turn customer needs, field feedback, and partner requirements into clear, differentiated capabilities and crisp PRDs/user stories - Lead Product Execution - Own the end-to-end product lifecycle—from discovery and validation to launch, adoption, and continuous improvement—delivering roadmap commitments with an agile mindset - Work closely with engineering on architecture, design decisions, and trade-offs - Define requirements for cloud-native protection and recovery - Ensure solutions meet enterprise standards for scalability, reliability, security, and performance - Engage Customers and the Market - Partner directly with enterprise customers and design partners - Lead competitive analysis and product positioning - Support go-to-market efforts with sales and marketing - Partner with sales teams to drive product success—supporting pipeline creation, enablement, competitive wins, and customer expansion with clear messaging and playbooks - Represent the product in customer briefings, industry events, and analyst discussions Qualifications - Bachelor’s degree in engineering, Computer Science, or related technical discipline - 8+ years of product management or engineering experience (or equivalent technical leadership) in enterprise software, cloud platforms, databases, and/or data protection - Hands-on experience with public cloud (AWS, Azure, or GCP) and protecting/operating cloud workloads, including identity/IAM, networking, encryption/KMS, and cloud-native APIs - Hands-on experience administering, building on, or integrating with at least one modern database platform (vector and/or NoSQL) such as Pinecone, Milvus/Weaviate, MongoDB, Cassandra, DynamoDB, or Cosmos DB - Working knowledge of cloud AI/ML platforms and services (e.g., Amazon SageMaker, Amazon Bedrock) and the data flows that power AI applications - Ability to engage engineering teams at a detailed architectural level, write clear requirements, and make trade-offs across security, performance, reliability, and usability - Strong cross-functional leadership and communication skills, with experience partnering with sales and customer-facing teams to drive adoption and revenue outcomes Preferred Skills & Experience - MBA preferred. - Experience protecting large-scale, multi-terabyte or multi-petabyte database environments - Experience with AI/ML data pipelines and vector search architectures. - Familiarity with Kubernetes, containerized workloads, and infrastructure-as-code. - Experience with SaaS or multi-tenant data platforms. - Knowledge of compliance requirements (SOC2, GDPR, HIPAA, etc.). Benefits - Continuous professional development, product training, and career pathing - An inclusive company culture, opportunity to join our Employee Groups - Generous benefits supporting your health, financial security, and work-life balance - Employee stock purchase plan (ESPP)

• Own the in-product upgrade flows, trial and checkout experience, subscription management, renewal mechanics, and billing support • Analyze how 1Password, Dashlane, LastPass, Keeper, and adjacent security vendors approach freemium, pricing, and upsell • In partnership with Growth Marketing, design and run pricing and optimization tests to improve website to product conversion rates as well as improve the free-to-paid motion • Model revenue impact and churn trade-offs with Finance • Define and monitor conversion rates, trial-to-paid, and upgrade metrics by cohort • Support Sales on different billing structures, including discount frameworks or multi-year contracts • Share performance metrics, roadmap updates, and monetization wins with leadership and cross-functional partners • Use AI tools to accelerate spec writing, competitive analysis, pricing analysis, cohort modeling, and rapid prototyping

🧡 Coverflex Work changed. Pay didn’t. Coverflex exists to make compensation work for everyone. Pay is still rigid, fragmented, and hard to feel. We turn compensation into choice — one platform, one card, one app — for benefits, meal allowance, insurance and more. Our platform is simple for HR and meaningful for employees. We provide choice, smarter compensation tools and empowerment. ⚙️ TL;DR (The Essentials) Role: Product Support Team Lead Seniority Level: Lead Type: Manager Languages: English (main) / Portuguese & Spanish. Italian a plus. Main Tools: → Ticketing: Zendesk (or similar) → Knowledge base tooling (e.g., Notion/Confluence/Guru) → Automation/AI tooling (as applicable) → Project mgmt (Jira/Linear/Asana) Location: Remote (Europe only) Compensation: - Base Salary: 32.000€ - 35.000€ gross - Bonus / Commissions: No. - Equity: Yes – Stock Options under our Virtual Equity Incentive Plan - Benefits: All Coverflex benefits apply - Contract Type: Permananent 💥 Your Impact Your role will play a major role in our success because… You will have direct impact on customer trust and retention by improving resolution times, quality, and proactive support. This role enables scale through process, tooling, and AI/automation adoption—helping deliver a high-quality benefits experience across PT & ES. You’ll know you’re successful when, after 90 days, you’ve… 1. Improved responsiveness and operational performance (TTR/SLA/backlog health) across PT & ES. 2. Improved customer experience outcomes (CSAT) and reduce escalations/recontacts through quality, knowledge, and process. 3. Increased team efficiency and support coverage via process redesign, tooling, and AI/automation adoption. How we’ll measure success: 1. Median + p90 TTR, % tickets within SLA, backlog size & age (by market/channel), peak-time performance. 2. CSAT by market/channel, QA score, escalation rate, repeat contact rate, complaint themes trend. 3. Tickets per agent/day (or equivalent productivity), cost per ticket (if available), AI/automation coverage %, deflection/auto-resolution rate, reduction in manual workload for top drivers. ⚡ Reality Check - What Makes This Role Hard Let’s be real - here’s what makes this role challenging: Balancing two markets with different realities and stakeholder expectations; driving change while protecting day-to-day performance; aligning priorities across Support, Product, Engineering, and Ops; building scalable playbooks without over-standardizing what should remain market-specific; managing peaks/incidents calmly. 👤 You Must-haves → 5–8+ years in Customer Support/Service Ops, including leadership roles → Strong KPI management (CSAT, TTR, SLA, QA, backlog) → Proven process improvement + change management → People leadership (coaching, performance mgmt, hiring) → Stakeholder management with Product/Eng/Ops → Fluent English + Portuguese and Spanish Nice-to-have → Experience leading multi-country / multi-site teams 🧬 Your DNA Data-driven, calm under pressure, high ownership, and strongly collaborative. Comfortable leading through ambiguity, setting clear priorities, coaching leaders/ICs, and communicating transparently with stakeholders. 👥 Manager & Team Meet Your Manager Hiring Manager: Tadeu Zanardo Location: Spain LinkedIn Profile Profile Snapshot: - Energy: upbeat, positive, sweet - Communication: open, direct - Feedback Style: giving feedback to the team is something I like to do - the people of my team are aligned. I have a personal feedback cycle that I give every quarter to my team. How to work with me - in the Manager's own words: I’m very chill and easy to work with — I keep things calm even when things get busy. I like simple, practical solutions and I don’t overcomplicate decisions. Your Team - Team structure: 8 agents. The team is composed by 4 junior profiles + 4 mid seniority agents, all very committed. W have 2 different teams: one just to take care of the employees, another to take care of managers. The team is responsible of doing customer support by chat and email only. - Other stakeholders: Success Team, mainly → The team is autonomous to take the tickets. We have flows and automations to distribute the tickets (the TL does not need to do that, but it is important to control backlog, volume, control metrics, doing QA). This person will have strategic meetings with other stakeholders: customer success, product team, and also join some meetings of the Italian team to understand the strategy related to where we are going. Weekly meeting with the team to share metrics + slack channels to keep team updated and share things. 💜 Access & Belonging (Equal Opportunity) We hire for impact and potential, not pedigree. We welcome applications from people with non-linear careers, career breaks, caregiving gaps, and those changing fields. No discrimination on the basis of age, disability, gender identity/expression, marital or family status, pregnancy, neurodivergence, race/ethnicity, religion/belief, gender, sexual orientation, or any other protected ground. Assessment fairness: We anchor on evidence of outcomes (what you shipped, moved, or influenced). We actively de-bias by using structured rubrics, multiple assessors, and blind screening most of the time (we won’t know your name, gender, or personal info until the interview stage). 📬 Application Clarity No cover letter required. Apply with your LinkedIn or upload your CV. You may be asked a few short, relevant questions. Total candidate time investment: ~3–5 hours end-to-end. 🧩 Hiring Stages (What to Expect, Why & How Long) 1. CV / LinkedIn Screen — Signal check vs must-haves • Done by People + Hiring Manager. • You’ll hear from us within 7 business days. 2. Role-Fit Questionnaire (async) Purpose: capture signals your CV can’t (languages, tools, scenario judgement) and calibrate seniority. Format: multiple choice + short answers. Accessibility: prefer a call? Tell us - we’ll swap for a short chat. 3. Hiring Manager Interview - Deep dive into your work • 45–60 min Structured around outcomes, decisions, and collaboration. 4. Behavioural Interview - Show how you think • 45-60 min Use our case or bring a real artefact (deck, PR, analysis, playbook). We assess clarity, decision quality, stakeholder thinking, and ethics. 5. Meet the team - get to know peers and team • 30-45min 6. Case / Work Sample - Show how you think • ≤90 min Use our case or bring a real artefact. We assess clarity, decision quality, stakeholder thinking, and ethics. 7. Final Conversation (CEO / C-Level) — Values, strategy, and your growth • 30–45 min Optional: References (2–3 people who’ve seen your recent work) - async. 🤖 AI & Hiring Tools Transparency We use a few tools to reduce bias and improve documentation, not to make hiring decisions. - Teamtailor anonymisation: profiles are reviewed without relying on names/personal identifiers. - Meeting recorder (e.g., Talka.ai): may be used to capture interviews so we can focus on the conversation. - ChatGPT: may be used to turn interview notes/transcripts into clear, structured summaries. Important: every application is reviewed by a human, and no decision or rejection is made by AI. If recording is used, we’ll be transparent and (where required) ask for consent. ⏱️ Speed & Communication - Decision: within 4 weeks of your application. - Updates: weekly if the process runs longer. - Scheduling: interviews between 10:00–16:00 CET (flexible across Europe). - Feedback: from the Case stage onwards, you’ll always receive written or verbal feedback - what went well, and what to strengthen next time.