Own and execute the product roadmap for Suzy’s real-time data and intelligence platform, spanning customer data, primary research, and third-party research data
Translate company strategy and stakeholder needs into clear product requirements, user stories, and acceptance criteria
Define product goals, success metrics, and KPIs; measure adoption, performance, and business impact to drive prioritization decisions
Identify opportunities to create differentiated data products that expand Suzy’s market position and revenue potential
Lead continuous discovery with internal and external users to identify pain points, unmet needs, and opportunities for innovation
Analyze data usage patterns and customer workflows to inform roadmap decisions and product improvements
Ensure platform capabilities translate into intuitive, high-value user experiences
Own the curation, orchestration, and standardization of third-party data alongside customer and primary research data
Partner with Engineering and Data Science to build scalable pipelines and models that fuse quantitative and qualitative data into a semantic knowledge network
Evaluate, implement, and iterate on LLMs and other AI technologies to enable reliable, scalable AI-powered product capabilities
Establish and operationalize data quality, governance, security, and compliance standards across the platform
Partner with Commercial teams to define data monetization strategies, packaging, and delivery models
Evaluate, select, integrate, and manage third-party data vendors, including performance monitoring and cost optimization
Support go-to-market efforts for new data and intelligence products in collaboration with Sales and Marketing
Monitor platform performance and reliability, ensuring >98% uptime and adherence to SLAs
Triage errors, drive incident resolution, and maintain clear support documentation and self-service resources
Collaborate cross-functionally to ensure smooth delivery from concept to launch and ongoing optimization

Requirements

Extensive experience leading product across the full PDLC, including discovery, validation, planning, development, launch, and iteration
Deep expertise in data systems, analytics, data science, and generative AI
Experience leading a cross-functional product pod of engineers, data analysts, and data scientists
Proven track record building enterprise-scale, secure, high-performance data platforms using both quantitative and qualitative data
Hands-on experience with data analysis, including writing SQL queries
Hands-on experience with data science and machine learning, including models for:
- Classification
- Prediction
- Anomaly detection
- Recommendations
- Natural language processing
Strong ability to communicate complex technical concepts to non-technical stakeholders, including executives, sales, and marketing teams
Experience launching or monetizing data products
Experience working in B2B SaaS or enterprise data platforms

Benefits

We take care of our employees and their families. We have generous health dental and vision benefits, and our 401K plan vests immediately
A friendly, fun, and collaborative work environment that allows for frequent exposure to executives
The opportunity to make an immediate impact as a part of a fast-growing company

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

product roadmapuser storiesacceptance criteriaKPIdata analysisSQLmachine learningnatural language processingdata governancedata quality

Soft Skills

communicationleadershipcollaborationproblem-solvinginnovationcross-functional teamworkstakeholder managementstrategic thinkingadaptabilitycustomer focus