Senior Product Manager Acquisition

We're looking for a Senior Product Manager to drive PandaDoc's user acquisition product strategy in the next era of product-led and agent-led growth.

Acquisition is undergoing a fundamental shift.

Traditional channels like SEO and paid acquisition are giving way to new discovery surfaces: generative engines agent ecosystems marketplaces integrations and AI-native distribution.

The future of growth is moving from PLG to agent-led growth — where products are discovered recommended and activated through intelligent systems and workflows.

As Sr.

PM Growth you'll own the product strategy and roadmap for how new users discover and activate on PandaDoc.

You'll define the product surfaces loops and mechanics that drive top-of-funnel growth.

You'll work at the intersection of product data and growth translating acquisition signals into durable product investments. 

This is a product role with a growth mandate: you'll own a roadmap drive cross-functional execution and build product capabilities that compound over time.

You’ll report to the Sr.

Director of Product.

What You'll Do

Own the acquisition product roadmap

• Define and execute PandaDoc's top-of-funnel product strategy from freemium entry points to AI-native discovery surfaces
• Own the roadmap for acquisition-related product surfaces: From MCPs and skills to sharing mechanics and new entry points
• Partner with engineering design and data to ship product changes that move acquisition metrics

Build acquisition loops not just features

• Design growth systems that compound: product loops integrations template distribution sharing mechanics and workflow ecosystems
• Identify ways PandaDoc naturally spreads through collaboration workflows and document sharing
• Turn user behavior and product capabilities into scalable acquisition engines

Explore and validate new distribution surfaces

• Develop product strategy for emerging acquisition channels including generative search (GEO) AI discovery surfaces MCP servers agent marketplaces and ecosystem integrations
• Identify new ways PandaDoc can be surfaced recommended and activated within AI workflows and automation ecosystems
• Run scoped product experiments to validate new distribution mechanics before committing to full builds

Drive a high-velocity experimentation practice

• Maintain a rigorous experimentation roadmap for acquisition loops and onboarding entry points
• Define hypotheses instrument experiments analyze results and translate learnings into product decisions
• Balance quick experiments with longer-horizon product investments

Use data to drive decisions

• Own the acquisition funnel metrics: traffic signups activation and channel-level conversion
• Work with analytics to build clear measurement frameworks for new acquisition initiatives
• Identify the leading indicators that predict sustainable growth

Partner across the company

• Work closely with engineering design marketing and GTM to execute acquisition initiatives
• Align leadership around evolving acquisition strategies and emerging opportunities
• Represent the acquisition roadmap in planning processes and to executive stakeholders

What We're Looking For

Experience

• 5–8+ years in product management with significant time in growth acquisition or PLG-focused roles at SaaS companies
• Proven track record owning a product roadmap and shipping features that measurably moved top-of-funnel metrics
• Experience with product-led growth models: freemium funnels self-serve onboarding viral and sharing loops
• Proven experience working managing and influencing multiple teams

Product instincts

• Strong ability to identify the product investments that will compound — not just campaigns or one-off experiments
• Comfortable translating ambiguous growth problems into clear product bets with defined success criteria
• Skilled at scoping experiments appropriately and knowing when a signal is strong enough to build on

Data fluency

• Data-informed decision making; comfortable owning funnel metrics and digging into data to form and test hypotheses
• Experience with product analytics tools (Amplitude Hex or Snowflake)
• Able to design experiments with proper instrumentation and interpret results rigorously

AI-native orientation

• Deep belief that user acquisition is fundamentally changing in the age of AI
• Understands how generative AI agentic workflows and new distribution surfaces are reshaping product discovery
• Uses AI tools hands-on to accelerate research prototyping and experimentation

Technical comfort

• Comfortable collaborating with engineers and digging into technical tradeoffs
• Able to explore APIs integrations and automation platforms to understand distribution opportunities
• Not necessarily an engineer but technically curious and fluent

Company Overview:

PandaDoc empowers more than 65 000 growing organizations to thrive by taking the work out of document workflow.

PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create manage and sign digital documents including proposals quotes contracts and more.  For more information please visit https://www.pandadoc.com 

 

Company Culture:

We're known for our work-life balance kind co-workers & creative virtual team-bonding events.

And although our Pandas are located across the globe we stay connected with the help of technology and ensure that everyone on our team feels well like a team.

Pandas work best when they're happy.

We retain our talent by upholding our values of integrity & transparency and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits: 

Employment type depends on your location and in some cases the type of employment. 

• Spain Germany Ukraine Portugal and Poland: Full-time employment with local benefits including health insurance paid time off and statutory as well as company-provided leave.

• All other European countries: Digital Nomad contract.

  Feel free to discuss the details with your recruiter during your initial call.