The opportunity
The Channel and Ecosystems team is dedicated to accelerating Asana's growth and market reach through partnerships and fostering a thriving partner network. We build and nurture relationships with Channel Partners (VARs, Services Partners, Distributors, Systems Integrators),…
What you'll do
Strategic Initiative Leadership: Take end-to-end ownership of high-priority initiatives—such as scaling cloud marketplace and co-sell motions, defining lead-sharing and renewal strategies, and designing partner incentive models—by scoping problems, building business cases, and driving cross-functional execution.
Commercial Modeling & Business Sizing: Build quantitative business cases, sizing models, and scenario analyses (such as partner discount and margin modeling) that guide strategic investment and policy decisions.
Data Infrastructure & Measurement: Build and maintain scalable datasets, pipelines, and dashboards in Databricks and Salesforce to measure partner contribution across the entire go-to-market lifecycle for Finance, Revenue Strategy, and Channel leadership.
Operational Excellence & Root-Cause Resolution: Investigate partner attribution gaps, quoting and billing errors, and policy edge cases to fix upstream process bottlenecks and establish durable playbooks.
AI Workflow Innovation: Leverage AI daily to accelerate research, data modeling, and process documentation, while prototyping and piloting AI-driven workflows that automate routine operational triage and hygiene checks.
Cross-Functional Enablement: Partner with GTM Systems, Business Process, and Enterprise Technology teams to author requirements, conduct testing, and support rollout of CRM/PRM enhancements.
What they're looking for
- Demonstrates curiosity about AI tools and emerging technologies, with a: willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
- + years of experience in channel/partner operations, revenue operations,: business strategy, management consulting, or a related analytical role (B2B SaaS experience preferred).
- Demonstrated fluency using AI tools to accelerate analysis, workflow: prototyping, and documentation, combined with sound judgment to evaluate output integrity.
- Advanced SQL proficiency and proven ability to independently build data: models, pipelines, and dashboards in Databricks or comparable platforms (e.g., Snowflake, BigQuery, Tableau, Looker).
