As the Strategic Marketing Operations Manager, Product-Led Growth (PLG), you will be at the forefront of driving Dynatrace’s PLG strategy within the Marketing organization. This is a high-impact, high-visibility role where you’ll collaborate across Product, Marketing, Sales, and other stakeholder teams to design and scale programs that accelerate signups, activation, adoption, and retention. You’ll define the vision, set success metrics, and lead the go-to-market strategy, while empowering a small but dynamic team to execute with precision and creativity.
- Shape the PLG Strategy: Define and drive Dynatrace’s PLG strategy, ensuring seamless integration with our broader go-to-market (GTM) approach.
- Optimize the Product Journey: Partner with Product to instrument and refine the product funnel, driving outcome
- Whaes from signups to activation, adoption, and monetization.
- Own Growth Metrics: Take accountability for key growth KPIs, including trial and Playground signups, activation rates, free-to-paid conversions, expansion, and lead volume.
- Lead Experimentation: Develop and manage a robust experimentation roadmap, testing and optimizing areas like signup conversion, lifecycle marketing programs, and user engagement.
- Communicate Impact: Build dashboards and deliver compelling insights to executives, showcasing PLG performance, learnings, and opportunities for growth.
- Inspire and Mentor: Lead and mentor Growth Marketing Managers, fostering a culture of innovation, collaboration, and results.
- Proven Expertise: 7+ years in growth, lifecycle, or demand marketing, with a strong preference for experience in product-led growth (PLG).
- Collaborative Mindset: Skilled at working across marketing, product, and sales to align teams and deliver impactful outcomes.
- Track Record of Results: Demonstrated success in driving measurable growth across acquisition, activation, adoption, and monetization.
- Data-Driven Approach: Deep experience in experimentation, funnel optimization, and leveraging data to inform strategies and decisions.
- Leadership Excellence: Strong leadership and influencing skills, with a proven ability to manage and mentor high-performing teams in cross-functional environments.
- A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.
- Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.
- A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.
- An environment that fosters innovation, enables creative collaboration, and allows you to grow.
- A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.
- A truly international mindset with Dynatracers from different countries & cultures all over the world, and English as the corporate language that connects us all
- A culture that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.
The targeted base pay range for this role is $148K to $185K. When determining your salary, we consider your skills, experience, education, work location and internal equity.
Dynatrace Mountain View, California, USA Office
401 Castro St , Mountain View, CA, United States, 94041
Similar Jobs at Dynatrace
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

