Senior Product Manager

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.

We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.

Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.

Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog.

The Role

We're looking for a Senior Product Manager to own the strategy and execution of our Voice of Customer (VoC) product. VoC is a critical part of Contentsquare's qualitative analysis suite, enabling teams to launch AI-powered surveys, combining qualitative insights with quantitative analytics to fully understand user behavior. Your work will help connect the "what" of behavioral data with the "why" of direct user feedback.

This is a high-impact role at the intersection of customer research, AI innovation, and platform unification. You'll partner closely with an Engineering Manager and a team of five frontend and backend engineers, forming the core of a Product Trio that drives discovery and delivery for VoC. You'll also collaborate with teams across Conversation Intelligence, Experience Analytics, and our Sense AI platform to ensure VoC evolves as an integral part of the unified Contentsquare experience.

Three strategic priorities define this role right now:

Unified platform integration. Deepen VoC's connection to the broader Contentsquare platform, ensuring surveys, session replay, experience monitoring, and conversation intelligence work together seamlessly to give customers a single source of truth.

AI-first product evolution. Push VoC toward an AI-first approach, leveraging Sense to automate survey creation, sentiment analysis, and insight delivery, making qualitative feedback faster and more accessible for every team.

Qualitative analysis convergence. Strengthen the link between VoC and adjacent qualitative capabilities, including Conversation Intelligence to create a cohesive feedback and insights layer that spans on-site, conversational, and social channels.

What You'll Do

Strategic Product Leadership

Define and own the product vision, strategy, and roadmap for VoC Surveys, balancing short-term execution with a 6 to 18-month strategic horizon

Identify opportunities to deepen VoC's integration into the unified Contentsquare platform, ensuring the product delivers value as part of the full journey intelligence story

Ruthlessly prioritize among competing goals, ensuring whole increments of product are delivered rather than half-finished initiatives

Craft and communicate a compelling narrative for VoC's evolution to stakeholders, executives, and cross-functional partners

Customer & Market Intelligence

Conduct deep customer and market research to understand user needs, competitive dynamics, and emerging trends in qualitative analytics and VoC.

Translate customer insights, field feedback, and usage data into a data-driven roadmap that maximizes value.

Partner with design and engineering to drive discovery, validating hypotheses through research, prototyping, and experimentation.

AI-First Product Development

Champion an AI-first approach to VoC, working with Sense AI and Applied AI teams to embed intelligent automation across survey creation, analysis, and insight generation.

Identify opportunities to apply AI and machine learning to surface patterns, predict sentiment, and reduce time-to-insight for customers.

Cross-Functional Collaboration

Partner daily with your Engineering Manager and team of five engineers as part of the Product Trio, ensuring alignment across discovery and delivery.

Collaborate with other product teams across the company to drive platform-level synergy.

Build strong relationships with Customer Success, Sales, and Marketing to ensure the product meets the needs of the market and supports go-to-market priorities.

Product Performance & Execution

Define product KPIs and success metrics; own performance tracking and use data to continuously inform roadmap decisions.

Monitor product health, support ticket trends, and quality KPIs, prioritizing improvements that drive customer satisfaction and retention.

What You'll Need to Succeed

5+ years of product management experience in a B2B SaaS environment, with a track record of owning and scaling a product area end-to-end.

Strong customer and market research skills, with demonstrated ability to synthesize qualitative and quantitative inputs into a compelling product strategy.

Experience building AI-powered or data-intensive products, with genuine curiosity about how AI and machine learning can transform user experiences.

Proven roadmap ownership, including priority-setting across competing stakeholder needs, and the ability to balance tactical delivery with long-term vision.

Deep comfort with data-driven decision making, including defining metrics, tracking performance, and using analytics to guide product direction.

Understanding of both UX and data dimensions of product work, with the ability to partner effectively with designers and engineers.

Strong cross-functional collaboration skills, with experience working closely with engineering, design, sales, and customer success in a distributed team.

Excellent communication skills in English (written and verbal); ability to articulate complex ideas to both technical and non-technical audiences.

Experience working with remote and international teams across time zones.

What Makes You Stand Out

Experience in VoC, customer feedback, survey platforms, or qualitative research tools

Background in conversational intelligence, NLP, or text analytics products

Familiarity with the digital experience analytics or experience intelligence space

Experience driving product integration across a multi-product platform

Prior work at the intersection of product management and applied AI

Why you should join Contentsquare

We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we’re aligned with the employees' needs.

Here are a few we want to highlight:

Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year

Work flexibility: hybrid and remote work policies

Generous paid time-off policy (every location is different)

Lifestyle allowance

A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work

Every full-time employee receives stock options, allowing them to share in the company’s success

We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts

And more benefits tailored to each country

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Your personal data will be securely stored in our hosting provider’s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.

Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.