Senior Product Manager, Facelift Analytics (m/f/d)

At Facelift, analytics helps marketing and communication teams understand what is working, make better decisions, and show the impact of their work. As Senior Product Manager for Facelift Analytics, you will own the direction and outcomes of our analytics portfolio, including Facelift Analyze and Facelift Data Studio.

You will set the product vision, decide which customer problems matter most, and work with engineering, design, data science, Sales, and Customer Success to turn complex social data into useful, trusted insight. You will also support analytics use cases across Entirely, including connections with products such as Marmind, while keeping Facelift customers and products at the centre of the role.

Responsabilidades

• Product Strategy and Roadmap:Define and evolve the vision, outcomes, and roadmap for Facelift Analyze and Facelift Data Studio. Use customer, product, commercial, and technical evidence to make clear priorities.
• Customer Research and Prioritisation:Talk to customers, study their workflows, and use product data to understand how marketing and communication teams measure performance, report results, and decide what to do next.
• Trusted Analytics:Improve data quality, metric clarity, and reporting continuity as social networks change their metrics, permissions, and APIs.
• Useful Analytics Experiences:Work with engineering, design, and data science to build dashboards, reports, benchmarks, and visualisations that make complex information easy to understand and act on.
• Adoption and Outcomes:Define product measures, improve repeated use, and review whether released work creates customer and business value. Change course when the evidence says we should.
• APIs, BI, and Integrations:Shape how customers use Facelift analytics in reporting tools, data environments, and connected workflows beyond the Facelift interface.
• Support for Entirely:Help validate and support analytics use cases across Entirely, including relevant connections with Marmind and other products, while retaining ownership of the Facelift Analytics portfolio.
• AI-Augmented Insights:Explore where AI and machine learning can make analytics more useful, for example through summaries, recommendations, anomaly detection, or predictive insight. Start with real customer problems, not the technology.
• Cross-Functional Leadership:Align engineering, design, data science, Product Marketing, Sales, and Customer Success around clear problems, goals, launches, and learning.

Requisitos

In your first months, you will build a shared view of the most important customer problems, product health, usage, commercial evidence, and technical risks. You will use this to set a focused, outcome-based roadmap.

• Customers trust the data, metric definitions, and continuity of their reporting
• More customers use Facelift Analytics regularly for meaningful work
• Customers can move more quickly from a performance signal to a useful action
• Enterprise reporting, API, BI, integration, and Entirely use cases are validated with real users
• We have clearer evidence of how Analytics supports customer retention, expansion, and product preference

What You Bring

Must-haves:

• Strong product management experience in B2B SaaS, including ownership of a meaningful product or product area
• Strong experience with analytics, reporting, data, BI, platform, or API products
• Evidence that you have found and solved important customer problems, not only managed a backlog or delivery plan
• Comfort working with complex data, metric definitions, product instrumentation, APIs, and technical trade-offs
• Experience working with enterprise customers and balancing user value, business outcomes, and platform health
• Ability to define success measures, use qualitative and quantitative evidence, and make decisions when not everything is known
• Clear communication, fluent English, and experience working across engineering, design, data science, and go-to-market teams; additional languages are a plus

Nice-to-haves:

• Experience with social media technology, social analytics, martech, or integrated marketing products
• Familiarity with AI or machine-learning applications in analytics or data products
• Experience in a scale-up or international product environment
• Knowledge of social media KPIs, benchmarking, and reporting workflows

How you work:

• You are curious about data and enjoy finding the useful story behind the numbers
• You make complex products and decisions easier for other people to understand
• You focus on outcomes, test assumptions, and change direction when you learn something new
• You can set direction and stay close enough to the work to help the team move forward

Beneficios

Join a forward-thinking global team where your career growth knows no boundaries. At Entirely, we believe in empowering our people to thrive personally and professionally.

Your Career with Us: Work on strategically vital product areas that shape how thousands of brands understand and act on their social media data. You'll collaborate with talented colleagues across product, engineering, data science, and go-to-market - in an international environment that values curiosity, ownership, and impact.

Flexibility & Growth: We support your ambitions with genuine flexibility. Work abroad for extended periods, explore internal transfers across departments and locations, and shape your own career path.

Work Your Way: We embrace flexible working arrangements tailored to your needs - remote, office, or a blend of both. Our modern offices across all regions are designed for focus, creativity, and connection.

Work-Life Balance & Benefits: Beyond competitive compensation, we offer comprehensive corporate benefits - from health insurance and wellness programmes to professional development opportunities. We invest in what matters to you.

A Culture of Collaboration: In our diverse, inclusive workplace, your voice matters. We celebrate different perspectives, encourage knowledge sharing, and foster genuine connections across our global teams.

Ready to make an impact? We're excited to meet you.