Responsibilities

• Strengthen the operating model behind Asana’s growth funnel by creating the connective tissue between product behavior, marketing systems, revenue workflows, and business reporting.
• Optimize and own systems infrastructure that supports our self-serve and product-led growth funnel across product, CDP, lifecycle, CRM, and related tooling.
• Design and operationalize Product Qualified Lead (PQL) workflows , including scoring logic, trigger criteria, routing rules, service-level expectations, and handoff processes with Revenue partners.
• Translate ideal customer profile (ICP) definitions and product usage patterns into actionable audience segmentation frameworks activated consistently across channels.
• Enable lifecycle marketing through scalable segmentation and event-driven campaign infrastructure, partnering closely with lifecycle marketers who own program strategy.
• Partner cross-functionally with Data Science, Product, Marketing Analytics, and Revenue teams to build scoring models, diagnose funnel friction, and support experimentation tracking.
• Establish operational governance around key growth definitions, routing logic, process documentation, and system changes so cross-functional teams can move quickly with data confidence.

Requirements

• 8+ years of Marketing Operations experience in a B2B SaaS organization
• Brings strong systems thinking and experience in marketing operations, growth operations, lifecycle operations, or revenue operations within a SaaS environment.
• Demonstrates hands-on experience working across product-led or self-serve funnels, utilizing go-to-market systems such as CDPs, CRMs, and lifecycle marketing automation platforms.
• Skilled at managing complex initiatives and bringing clarity and structure to ambiguous problems with a high degree of autonomy.
• Possesses an analytical foundation to partner effectively with Data Science and Analytics stakeholders on scoring models, data quality, and funnel investigations.
• Communicates clearly with both technical and non-technical stakeholders, translating operational complexity into practical, executive recommendations.
• Experience operationalizing PQL scoring frameworks, building trigger-based campaign infrastructure, or optimizing data flows between product analytics and CRM environments.

Preferred

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Benefits

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences