• Acquisition Strategy: Collaborate with Media, SEO, CRO, and Creative teams to ensure attracted traffic matches the Ideal Customer Profile (ICP) and has a high propensity to convert. • Funnel Optimization (Trial-to-Paid): Identify bottlenecks in the user journey, from landing pages to the product's "Aha! Moment." • Collaboration with a Multidisciplinary Squad: Orchestrate a robust team composed of a product lead, developers (front-end/back-end), product designers, data analysts, marketing specialists, and growth ops to execute an aggressive experimentation roadmap. • Experimentation Culture: Maintain a continuous cycle of hypothesis generation, prioritization, execution, and analysis of A/B tests, ensuring learnings are documented and scaled. • Business Acumen: Analyze business metrics to ensure user growth is sustainable and profitable for the SaaS model.

• Collaborate with engineering, design, marketing, and stakeholders to define and execute product initiatives • Assist in creating and maintaining product roadmaps aligned with business objectives • Gather and analyze customer feedback, usage data, and market trends to inform product decisions • Conduct competitor and market research to identify opportunities and gaps • Translate requirements into clear user stories, acceptance criteria, and documentation • Support Agile ceremonies including sprint planning, backlog grooming, and retrospectives • Track product performance and help optimize features post-launch • Ensure alignment across teams to deliver meaningful, user-focused outcomes

• Own product execution end-to-end at Saral by turning roadmap into shipped features through deep research, detailed specs, and strong collaboration. • Research problems deeply through customer conversations, competitor analysis, and qualitative insights • Write clear, detailed specs covering user flows, edge cases, and copy • Collaborate closely with design to ensure accurate execution • QA features from a customer perspective before release • Stay close to customers via calls, tickets, and session recordings • Track bugs, feature requests, and sprint progress • Communicate status proactively with internal teams • Own product details that impact user experience and product quality

Role Description Iterable is looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access. You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. How you will make an impact: - Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations. - Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss. - Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters. - Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap. In this role, you'll get to: - Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it. - Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run. - Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture. - Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform. Qualifications - 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products. - Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch). - Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time. - Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost. - Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior. - Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact. - Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake. Requirements - Bonus points for having worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts. - Experience shipping guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar). - Experience being part of a major search/storage modernization (e.g., ES migrations, index redesigns, or retention changes). - Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed. Benefits - Paid parental leave - Competitive salaries, meaningful equity, & 401(k) plan - Medical, dental, vision, & life insurance - Balance Days (additional paid holidays) - Fertility & Adoption Assistance - Paid Sabbatical - Flexible PTO - Monthly Employee Wellness allowance - Monthly Professional Development allowance - Pre-tax commuter benefits - Complete laptop workstation