Staff Product Manager - Email Growth

New

JobgetherEmail marketing SaaS

Based in IndiaFull-TimeStaff

Salary not disclosed

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Job Details

Experience: 8+ years of Product Management experience
Required Skills: SQLProduct ManagementProduct AnalyticsData visualizationA/B testing

Have 8+ years of Product Management experience.
Bring significant experience in growth, product-led growth, funnel optimization, monetization, or related areas within B2B SaaS.
Have experience designing and executing high-velocity A/B and multivariate experimentation programs that produce measurable business results.
Have expertise with product analytics platforms such as Mixpanel, Amplitude, Heap, or similar tools.
Have experience with cohort analysis, funnel tracking, SQL, and data visualization.
Use a highly analytical, hypothesis-driven approach balanced with product intuition and customer empathy.
Translate complex data into product strategies, priorities, experiments, and measurable outcomes.
Demonstrate cross-functional leadership across engineering, marketing, design, analytics, and revenue functions.
Experience with marketing automation, CRM, agency management, or other MarTech products is a plus.
Experience with pricing and packaging, feature gating, or usage-based monetization models is a plus.

Own the strategy for improving email activation and onboarding for agencies and sub-accounts.
Develop product-led growth initiatives, including feature discovery, sharing mechanisms, adoption loops, and in-product monetization.
Build and maintain an experimentation program across onboarding, feature access, pricing, and campaign setup.
Define and monitor activation funnels, engagement metrics, usage decay, retention cohorts, and product health indicators.
Use product analytics and customer insights to connect email adoption with retention, lifetime value, and revenue growth.
Partner with Product Marketing, Growth Engineering, Customer Success, Revenue Operations, Design, and Analytics teams.
Establish growth objectives and success metrics, and translate data and experiment results into product decisions.
Analyze the end-to-end email user journey, identify friction points, establish an experimentation backlog, and launch initial tests.
Deliver measurable improvements in email activation and develop scalable adoption loops.

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