Senior Product Manager - Data Products

SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips. Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com. What we’re looking for SurveyMonkey has spent 25+ years helping organizations collect feedback. What most people don’t know is that we have accumulated one of the richest feedback datasets on the planet with billions of answered questions across industries, company sizes, and geographies. We are looking for a Senior PM to turn that into genuine product advantage. This is a product-facing role where you will define what features we build with that data, shape how customers experience corpus-powered intelligence, and partner with our AI/ML and data science teams to ship it. Apply if you’re drawn to problems where the data is real, the customer value is unclear, and the upside is significant. What you’ll be working on Own the roadmap for data-powered product features including benchmarks, longitudinal insights, cross-survey intelligence, and more Identify where our data corpus creates customer value worth paying for and where it doesn’t Work closely with AI/ML engineering and data science to scope and ship Build the measurement framework to understand what drives retention and expansion Help define and execute SurveyMonkey’s long-term data moat strategy We’d love to hear from people with 5+ years in product management, with significant experience on data-intensive or AI-powered products Sharp instincts for what customers actually want from data vs. what sounds good in a pitch Experience in ambiguous, foundational spaces and ability to help craft the roadmap Strong collaboration skills with data science and ML partners SaaS background where data was core to the product value proposition The base pay provided for this position ranges from CAD $133,450.00/ year - $157,000.00/ year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience. Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. This opening is for an existing vacancy. SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution. While this role is remote, it may require in-person participation. You will be encouraged to attend company events throughout the year. These events will take place at a designated SurveyMonkey office or location. #LI-remote Why SurveyMonkey? We’re glad you asked At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the CHOICE Fund to help employees thrive in work and life. We’ve been trusted by organizations for over 25 years, and we’re just getting started. Our milestones include celebrating a quarter-century of curiosity with 25 acts of giving, opening new hubs in Costa Rica and India, crossing the threshold of 100 billion questions answered, and earning recognition as one of the Most Inspiring Workplaces across North America and Asia. We live our company values—like championing inclusion and making it happen—by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you. Our commitment to an inclusive workplace SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities. Your data For more information on how SurveyMonkey (including its subsidiary and affiliated companies) processes your personal data as a job candidate or applicant, please see our Global Applicant and Candidate Data Privacy Notice. Please note that we may use artificial intelligence (AI) tools to support parts of the hiring process, such as sourcing candidates, reviewing applications, analyzing resumes, or summarizing interviews. These tools assist our recruitment team but do not replace human judgment.

Own the product roadmap for data-powered features and identify opportunities where the data corpus creates significant customer value. Partner closely with AI/ML engineering and data science teams to scope, build, and ship intelligent product solutions.

Requires 5+ years of product management experience with a focus on data-intensive or AI-powered products. Candidates must have a strong SaaS background and the ability to collaborate effectively with technical data partners.

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • RRSP matching • Flexible spending account • Health savings account • Paid holidays • Paid time off • Employee assistance program

• Analyse de donnéesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Product management
• Data products
• AI/ML
• Data science
• Roadmap development
• SaaS
• Measurement framework
• Data strategy
• Cross-functional collaboration
• Customer insights
• Data analysis
• Product strategy
• Workplace Inclusivity
• Curiosity
• Time Off Management
• Business Decisions
• Data Privacy
• Talent Sourcing
• Research
• Artificial Intelligence
• Customer Service
• Software As A Service (SaaS)
• Employee Assistance Programs
• Employee Engagement
• Innovation
• Machine Learning
• Market Research
• Product Management
• Reviewing Applications
• Value Propositions
• Collaboration
• Data Science

• Technology
• Data & Analytics
• Software
• Management & Leadership
• Data Product Manager
• Data Manager
• Database Designers and Administrators
• Database Architects

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Canada