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Product Manager; Principal

Job in Waltham, Middlesex County, Massachusetts, 02254, USA
Listing for: Constant Contact
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Growth Product Manager (Principal)

Principal Growth Product Manager, Activation & Monetization

We have an opening for a Principal Growth Product Manager to lead experimentation across activation and monetization at Constant Contact. This is not a traditional roadmap-driven Product Management role. You will operate as a metric owner first, not as a feature owner. Success in this role comes from learning velocity, experimentation quality, and measurable movement in activation, conversion, retention, and expansion metrics.

You'll join a high-performing growth organization made up of two Principal Growth PMs (this role would be the third) working across two dedicated squads with 6 and 4 engineers. Together, the team runs approximately 20 experiments per month across onboarding, upgrade flows, lifecycle experiences, and monetization surfaces. We operate with a highly autonomous, AI-native rhythm focused on fast iteration, rigorous measurement, and continuous learning.

The ideal candidate thrives in experimentation environments, moves quickly, thinks statistically, and is energized by shipping iterative tests that drive measurable business outcomes.

What You’ll Do
  • Own Growth Experimentation:
    Design, launch, and scale continuous experiments across activation and monetization surfaces including onboarding flows, paywalls, upgrade experiences, trial-to-paid conversion, and retention journeys. Define hypotheses, success metrics, and decision criteria to drive measurable improvements in customer behavior and business performance.
  • Prioritize and Balance Growth Bets:
    Continuously evaluate and prioritize a portfolio of growth opportunities ranging from rapid iteration experiments to larger strategic initiatives. Balance speed, impact, technical complexity, and learning potential to maximize business outcomes and team velocity.
  • Lead with Speed and Autonomy:
    Operate as a leader within a highly autonomous growth squad. Move quickly from insight to experiment, balancing rigor with execution speed. Comfortable making decisions with imperfect information, iterating rapidly, and refining based on data and customer behavior.
  • Optimize for Mobile-first Customer Behavior:
    Help modernize and optimize activation and monetization experiences for a mobile-first customer base. Identify friction points and opportunities across acquisition, onboarding, upgrade, and retention flows to create seamless cross-device experiences.
  • Leverage AI to Accelerate Growth:
    Use AI tools and workflows to improve experimentation velocity, analysis, prioritization, and decision-making. Explore opportunities to apply AI-driven personalization, targeting, and optimization tactics across activation and monetization experiences.
  • Influence Monetization & Lifecycle Strategy:
    Contribute to broader growth initiatives including packaging, pricing, lifecycle optimization, and expansion strategy. Partner with Finance, Rev Ops, Analytics, and leadership to validate opportunities through experimentation and customer behavior data.
  • Collaborate Across Functions:
    Work closely with Engineering, Design, Data & Analytics, Finance, and Rev Ops to prioritize opportunities, improve instrumentation, and ensure experiments are measurable, scalable, and operationally sound.
Who You Are
  • A Growth Product Leader: 8+ years of Product Management experience, with significant experience in Growth Product Management within SaaS, subscription, or consumer-oriented products. Owned metrics across activation, monetization, retention, or lifecycle growth and has a track record of driving business impact through experimentation.
  • Fluent in Experimentation:
    Deep experience designing and evaluating experiments, including hypothesis development, A/B testing methodologies, sample sizing, statistical significance, novelty effects, instrumentation quality, and interpreting ambiguous or conflicting results. Think in funnels, cohorts, and behavioral data.
  • Outcome-Oriented:
    Optimize for measurable outcomes over roadmap output. Prefer launching multiple well-instrumented experiments over spending a quarter designing the perfect framework. Value rapid learning, iteration, and continuous optimization.
  • Highly Analytical:
    Deeply comfortable…
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