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Snr. Product Manager, Data and Platform Insights (Hybrid)
Позиция в компании-лидере рынка с сильной корпоративной культурой и бонусами. Интересные задачи на стыке Data Science и Product Management, а также возможность влиять на стратегию продукта мирового уровня.
Сложность вакансии
Роль требует сочетания глубокой технической экспертизы в области инженерии данных (API, задержки, производительность запросов) и навыков стратегического сторителлинга для руководства. Высокая планка ответственности за точность данных и необходимость работы в гибридном формате в США повышают сложность отбора.
Анализ зарплаты
Зарплата для Senior Product Manager в сфере кибербезопасности во Флориде обычно выше среднего по штату, но чуть ниже уровней Кремниевой долины. Учитывая бонусы от продаж и репутацию KnowBe4, совокупный доход будет конкурентоспособным для региона Тампа-Бэй.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Manager position for Data and Platform Insights at KnowBe4. With over five years of experience in product management and a specialized focus on data-heavy B2B SaaS platforms, I have a proven track record of transforming complex data sets into actionable executive insights. My background aligns perfectly with your 'Curate then Democratize' strategy, as I have previously led initiatives to both polish native reporting tools and build robust API frameworks for enterprise data extensibility.
In my previous roles, I have worked closely with data engineering teams to optimize pipeline performance and ensure data accuracy at scale. I am particularly drawn to KnowBe4’s mission of Human Risk Management and the challenge of visualizing risk areas to drive proactive remediation. I am confident that my technical fluency in API structures and my ability to translate raw data into compelling business outcomes for the C-suite will make me a valuable asset to your product team in Clearwater.
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Присоединяйтесь к лидеру в области управления человеческими рисками и создавайте будущее аналитики данных вместе с KnowBe4!
Описание вакансии
KnowBe4 is the global leader in Human Risk Management, trusted by over 70,000 organizations worldwide to secure their employees and AI agents for over 15 years. We're pioneering a new era of security. AI-powered since 2016. And market-leading since day one.
Our HRM+ combines continuous risk intelligence, advanced technical defenses, and personalized training to help organizations build strong security cultures. We help organizations understand, measure, and reduce human risk across their entire workforce, defending against, deepfakes, and emerging AI-powered threats.
We believe that protecting organizations from cyberthreats and creating a positive environmental impact go hand in hand. True resilience is collective, it requires us to protect our people, our data, and our planet.

Clearwater positions open to candidates located in greater Tampa Bay area.
As the Snr. Product Manager for Data and Platform Insights, you will champion a "Curate then Democratize" strategy. Initially, you will focus on perfecting our native, curated reporting—ensuring every Admin has immediate, actionable insights to prove ROI. Simultaneously, you will lay the groundwork to democratize this data by defining how our APIs and data pipelines enable sophisticated enterprise customers to extend these insights into their own reporting ecosystems. You are the bridge between complex data engineering and the customer's need for operational clarity.
Responsibilities:
- Own the Insights Roadmap: Define the product strategy for our Reporting, Analytics, and Risk Scoring capabilities. You will balance the immediate delivery of polished, out-of-the-box Executive Reports with the long-term vision of opening up our data architecture for customer self-service.
- Turn Data into Outcomes: Move beyond static tables. Design customer-facing dashboards and visualizations that highlight "Risk Areas" and proactively suggest remediation steps (e.g., "This group needs more training on CEO Fraud") and clearly demonstrate Business Outcomes to the relevant stakeholder.
- Enterprise Extensibility: Define how our platform "hooks" into the broader enterprise ecosystem. While you don't need to be a Tableau wizard, you must understand how data exports and APIs enable customers to ingest our risk score and platform data into their own tools (Splunk, Power BI, etc.) for deeper analysis.
- Master the Customer Data Lifecycle: Work closely with Data Engineering to ensure our customer-facing data pipelines are performant and accurate. You will ensure that the massive scale of data we ingest is transformed into meaningful reports without user-perceived latency.
- Executive Storytelling: Build reporting features specifically designed for the C-Suite and Board of Directors, making it effortless for Admins to demonstrate the ROI of the KnowBe4 platform.
- Customer Intelligence: Conduct deep-dive research with our customers to understand the questions they wish they could answer, identifying gaps that competitors miss.
Qualifications
- 3+ years of Product Management experience, specifically managing data-heavy products, analytics platforms, or B2B SaaS reporting tools.
- BS degree in Computer Science, Data Science, Business, or related technical field preferred.
- Data Ecosystem Fluency: You understand the "hooks" of the data ecosystem. You might not build Power BI dashboards daily, but you understand API structures, data exports, and how enterprise customers consume SaaS data in external BI tools.
- Technical Fluency: Ability to engage in technical trade-off conversations with Data Engineers regarding latency, storage, and query performance.
- Tool Proficiency: Experience with JIRA, Figma, and comfort with Google Workspace.
- Analytical Storytelling: The ability to look at a spreadsheet of raw data and visualize the "Headline" that a user needs to see.
- Extreme Ownership: You thrive in ambiguous environments where you own the outcome of your data accuracy and product success.
- Influence Mastery: Exceptional ability to work with diverse teams (Engineering, QA, Sales) by leading without authority.
- Strategic Problem Solver: You balance solving for existing customers' reporting needs today while designing for the AI-driven data future of 2-5 years from now.
Our Fantastic Benefits
We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits.
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
No recruitment agencies, please.
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Навыки
- Product Management
- Data Analytics
- B2B SaaS
- API
- Data Pipelines
- Jira
- Figma
- Business Intelligence
- Data Visualization
- Risk Scoring
Возможные вопросы на собеседовании
Проверка понимания стратегии 'Curate then Democratize', упомянутой в описании.
Как бы вы сбалансировали ресурсы между улучшением встроенных отчетов и развитием API для внешних BI-инструментов?
Оценка технической грамотности в работе с инженерами данных.
Опишите случай, когда вам приходилось идти на компромисс между детализацией данных в отчете и производительностью системы (latency). Как вы принимали решение?
Проверка навыка 'Executive Storytelling'.
Какие метрики вы бы включили в дашборд для Совета директоров, чтобы наглядно продемонстрировать ROI платформы управления рисками?
Оценка опыта работы с корпоративными экосистемами.
Как вы обеспечиваете бесшовную интеграцию данных вашего продукта в такие инструменты, как Splunk или Power BI, для крупных корпоративных клиентов?
Проверка продуктового видения.
Как, по вашему мнению, развитие ИИ изменит потребности клиентов в аналитике данных и отчетности в ближайшие 3 года?
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