Senior Product Manager, Growth

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Growth based in United States.

This is a senior individual-contributor opportunity focused on shaping and scaling product-led growth across a broad B2B SaaS portfolio.
You will own growth strategy across activation, engagement, retention, expansion, cross-sell, upsell, and monetization.
The role combines strategic product leadership with hands-on experimentation, analytics, customer insight, and roadmap ownership.
You will identify high-impact opportunities, translate them into a compelling growth roadmap, and drive measurable business outcomes.
Success requires close partnership with Product, Engineering, Design, Analytics, Marketing, and Sales teams across a complex organization.
You will operate with significant autonomy and influence without formal authority, turning ambiguity into clear priorities and action.
The role is especially suited to a growth leader who is curious about AI and motivated to build new mechanisms for sustainable product growth.

Accountabilities:

• Own growth strategy and opportunity identification: Lead opportunity sizing and prioritization across activation, engagement, retention, trial-to-paid conversion, expansion, and monetization using quantitative analysis, customer journeys, and qualitative insights.
• Build and manage the growth roadmap: Define a clear growth vision and roadmap aligned with business objectives, secure meaningful cross-functional alignment, and continuously adapt priorities based on results and new insights.
• Drive engagement and monetization: Design and launch initiatives such as onboarding improvements, in-product messaging, cross-sell and upsell programs, and other lifecycle experiences that improve engagement and revenue.
• Optimize the customer lifecycle: Improve conversion and retention throughout trial, purchase, renewal, and expansion journeys while balancing self-serve and sales-assisted growth motions.
• Lead experimentation: Design, launch, analyze, and iterate on A/B and multivariate experiments with appropriate statistical rigor, turning test results into actionable product decisions.
• Partner across functions: Collaborate closely with Engineering, Product, Design, Analytics, Marketing, and Sales while influencing priorities and outcomes without direct authority.
• Translate data and customer insight into decisions: Combine analytics, user interviews, support themes, journey mapping, and behavioral data to identify opportunities and determine when sufficient evidence exists to act.
• Explore AI-enabled growth: Identify opportunities for personalized onboarding, AI-powered lifecycle communication, and agentic in-product experiences that create new growth mechanisms.
• Track and communicate outcomes: Establish and monitor meaningful growth metrics, communicate initiative performance to stakeholders, and ensure the organization remains focused on measurable outcomes rather than activity alone.
• Build sustainable growth capabilities: Establish an experimentation cadence and operating model that consistently generates learning, prioritization, and measurable improvements.

Requirements:

• Experience: 8+ years of experience in product growth, ideally within a technology or B2B SaaS environment, with demonstrated success across activation, engagement, retention, and monetization.
• Growth expertise: Hands-on experience improving trial, purchase, renewal, or expansion funnels and understanding how self-serve and sales-assisted motions can work together.
• Strategic leadership: Ability to establish a vision and strategy for a growth area, assess opportunities, prioritize investments, and clearly articulate the rationale behind major product bets.
• Analytical rigor: Strong ability to work directly with data and analytics tools, assess complex information, evaluate experiment results, and use evidence to drive decisions.
• Customer orientation: Strong empathy for users and the ability to combine qualitative and quantitative insights to understand customer journeys and identify meaningful friction points.
• Influence and collaboration: Proven ability to lead cross-functional initiatives and influence Engineering, Design, Analytics, Marketing, and Sales stakeholders without formal authority.
• Experimentation: Demonstrated experience designing and running product experiments, interpreting results, and applying both successful outcomes and lessons learned to future decisions.
• AI fluency: Comfortable using AI tools such as ChatGPT, Claude, Gemini, or similar technologies for discovery, prototyping, analysis, and productivity.
• Entrepreneurial mindset: Comfortable operating in ambiguity, taking ownership of a growth area, building new capabilities, and moving initiatives forward with limited direction.
• Communication: Excellent written and verbal communication skills, with the ability to present complex ideas clearly and adapt messaging to different audiences.
• Education: Bachelor’s degree in Business, Engineering, Marketing, or a related field required; an advanced degree is a plus.
• Preferred experience: Experience with marketplace growth, particularly within ecosystems such as Atlassian Marketplace, Microsoft Marketplace, or Salesforce AppExchange; familiarity with in-app messaging platforms such as Appcues; and experience launching and rapidly scaling zero-to-one products or platforms.

Benefits:

• Remote-first work environment.
• Unlimited vacation in most locations.
• Health, dental, and vision benefits.
• Savings/retirement plan.
• Training and professional development reimbursement.
• Work-from-home reimbursement.
• Conference and course budgets.
• Mentorship and opportunities for professional growth.
• Diverse, collaborative teams working on challenging and high-impact products.
• Opportunities to attend in-person meetups and travel to international offices.
• Social activities, both virtual and in person.
• Employee referral program.
• Opportunity to influence products used by enterprise organizations at significant scale.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.