Senior Product Manager, Data Products

About the role

Iterable is building an AI-native customer engagement platform powered by Nova. We are seeking a Senior Product Manager to oversee the vision and roadmap for our data infrastructure, ensuring our systems support real-time, intelligent customer experiences at scale. The role owner will architect the foundational data layers that empower predictive marketing and cross-channel orchestration. You will translate complex technical constraints into coherent product strategies that align engineering efforts with enterprise customer expectations. This position demands fluency in both product thinking and data platform paradigms to guide long-term architectural evolution. You will act as the primary liaison between deep technical teams and commercial stakeholders to validate solution fit. Success in this role will be measured by the reliability, scalability, and adoption of the data products you shepherd. You will champion a culture where data quality, observability, and governance are prerequisites for innovation.

Key facts

What you'll do

• Define the end-to-end strategy and multi-year roadmap for the data platform to ensure infrastructure reliability and AI-readiness.
• Own the product vision for data ingestion pipelines, transformation frameworks, metadata systems, and activation capabilities.
• Architect the evolution of the data stack to support real-time processing, advanced analytics, and hyper-personalization at global scale.
• Establish product guardrails for data governance, lineage tracking, catalog management, and platform observability.
• Partner closely with software engineering, marketing practitioners, sales leadership, and customer success to deliver features that solve real customer problems.
• Synthesize industry research, competitive analysis, and technical benchmarks into clear product specifications and a coherent connectivity strategy.
• Translate user feedback and platform metrics into actionable improvements that drive adoption, reliability, and performance gains.
• Evaluate emerging data ecosystem trends, including cloud-native services and open-source frameworks, to guide architectural decisions.
• Prioritize initiatives balancing technical debt reduction, platform scalability, and time-to-value for internal and external customers.
• Serve as the domain expert for data product capabilities, influencing executive discussions and shaping the long-term product narrative.

Requirements

• Bring more than eight years of experience as a Senior Product Manager managing technically complex, customer-facing data products such as orchestration, connectivity, or transformation tools.
• Demonstrate a background in building and scaling data platforms that encompass storage strategies, data ingestion, robust APIs, and comprehensive governance.
• Show proficiency with major cloud data ecosystems including Snowflake, Databricks, BigQuery, or Redshift and their associated tooling.
• Exhibit fluency in data modeling concepts, lineage implementation, data catalog strategies, and quality assurance frameworks.
• Prove a history of influencing stakeholders across engineering, design, and executive leadership without direct authority.
• Display a track record of using quantitative metrics and qualitative user feedback to improve platform adoption, reliability, and user satisfaction.
• Hold experience navigating ambiguous requirements and translating strategic objectives into concrete technical epics and user stories.
• Demonstrate strong written and verbal communication skills to articulate complex technical concepts to diverse audiences.

Skills & tools

• Mastery of data orchestration patterns and connectivity challenges across distributed systems.
• Deep experience with cloud data platforms such as Snowflake, Databricks, BigQuery, and Redshift.
• Comprehensive understanding of data governance, metadata management, and regulatory considerations.
• Expertise in API product management, including design, versioning, and lifecycle oversight.
• Hands-on familiarity with real-time data processing architectures and streaming paradigms.

Practical notes

• The position is based in a hybrid work model within Lisbon, Portugal, balancing remote flexibility and in-office collaboration.
• Full-time engagement is required, aligning with team availability and strategic planning cycles.
• Employees are entitled to 22 days of paid annual leave, supplemented by community days and a paid sabbatical program.
• The company provides a comprehensive benefits package including private medical insurance, life and risk assurance, a meal allowance of 8.55 EUR per day, and a global lifestyle reimbursement account.
• A complete laptop workstation is supplied to support efficient remote and office-based work.
• Iterable maintains a professional and ethical recruitment process; the company does not request payment for recruitment or job offers, and any suspicious activity should be reported to talent-ops@iterable.com.

Deadline and next steps

• Applicants are encouraged to submit complete materials promptly to ensure full consideration.
• The selection process may involve multiple interviews focusing on product thinking, technical acumen, and stakeholder collaboration.
• Decisions will be made based on demonstrated experience, alignment with platform strategy, and cultural fit.
• Early submission is recommended to secure interview slots in competitive talent cycles.
• All discussions regarding the role should reference the official job identifier and location to ensure accurate routing.
• Candidates are advised to prepare examples that illustrate their impact on complex data products and platform initiatives.
• The hiring team values transparency, timely communication, and respectful engagement throughout the evaluation process.

Growth and impact

• The Senior Product Manager will have the opportunity to shape critical data infrastructure that underpins customer engagement for leading brands.
• You will influence industry best practices by demonstrating how robust data platforms enable ethical, scalable, and intelligent marketing.
• Your work will directly affect customer outcomes, enabling personalized experiences that drive loyalty and business growth.
• The role offers exposure to executive-level strategic thinking and cross-functional leadership.
• You will contribute to building repeatable frameworks that standardize how data products are defined, validated, and evolved.
• Success will create long-term value for both internal teams and external customers relying on Iterable's platform.

About collaboration

• Close collaboration with data engineering, analytics, and platform teams ensures seamless integration of product requirements.
• You will work with customer-facing teams to gather insights that inform product priorities and validate hypotheses.
• Regular interaction with technical architects will help maintain a realistic and forward-looking product vision.
• Cross-functional ceremonies, including planning and retrospectives, will provide continuous feedback loops.
• Transparent communication and shared documentation will support alignment across global teams.

Compliance and ethics

• The product manager must adhere to Iterable's standards for data privacy, security, and responsible use of customer information.
• Decisions should reflect an understanding of regulatory landscapes affecting data handling and marketing technology.
• The role requires commitment to ethical data practices and transparent stakeholder communication.
• You will contribute to policies that protect customer data while enabling innovative engagement strategies.
• Maintaining trust with customers and partners is essential to the long-term success of the data platform.

This role represents a pivotal opportunity to define the data backbone of a next-generation engagement platform. If you thrive in complex technical environments and enjoy turning strategic data challenges into coherent product narratives, this position is an ideal fit. The successful candidate will leave a lasting impact on the platform, the product portfolio, and the broader ecosystem of marketers using Iterable to deliver exceptional customer experiences.