Digital & Scaled CS Programs Lead

Asana; United States; Hybrid; USD 147,000 - 167,000; Full time

Benefits offered by this job

Mental health benefits

Career coaching & support

Inclusive family building benefits

Long‑term savings/retirement plans

In‑office meals

Job summary

Asana is seeking a Digital & Scaled CS Program Manager to build and execute digital customer success programs. You will design journeys, manage vendor partnerships, and ensure programs align with lifecycle best practices across Sales, Marketing, and Product teams from our Chicago office with hybrid scheduling.

The role emphasizes cross‑functional leadership, governance, and data‑driven optimization, with a base salary in a market aware range and potential equity components.

Qualifications

• Proven ability to design and run customer journey orchestrations in marketing automation tools.
• 4+ years in Customer Success, CS Ops, or Marketing Automation.
• Experience building digital programs in a B2B SaaS environment.
• Strong cross-functional collaboration, governance, and data-driven decision making.

Responsibilities

• Design, build, and refine customer journeys and campaigns.
• Manage vendor partnerships, cadences, and KPI tracking.
• Maintain and update playbooks for Scaled CS programs.
• Enable teams with effective training materials and resources.
• Coordinate webinars and scalable assets to deepen adoption.
• Collaborate across CS, Sales, Revenue Ops, Marketing, and Product Engineering to reflect account realities.

Skills

Cross-functional collaboration

Data interpretation

Program governance

Communication

Tools

Iterable

Outreach

Gainsight

Pocus

Trig

CDP

Job description

Asana is seeking a Digital & Scaled CS Program Manager to build and execute digital customer success programs. You will design journeys, manage vendor partnerships, and ensure programs align with lifecycle best practices across Sales, Marketing, and Product teams from our Chicago office with hybrid scheduling.

The role emphasizes cross‑functional leadership, governance, and data‑driven optimization, with a base salary in a market aware range and potential equity components.