$ cat jobs/partnership-manager-kestra-technologies-8120f7451128.json
Partnership Manager
Location: US (New York or East Coast) - Remote Type: Full-time About Kestra Kestra is the Orchestration Control Plane of the AI Era — a general-purpose, open-source workflow orchestration platform trusted by engineering and data teams at JPMorgan Chase, Bloomberg, Apple, Crédit Agricole, and Deutsche Telekom. We just closed a $25M Series A (total $36M raised). 2 billion workflows executed in 2025. ~30,000 GitHub stars. 25x revenue growth since Seed. We're not a niche tool. We orchestrate data pipelines, infrastructure automation, business processes, and agentic AI workflows — all in one platform. The Mission We're building the Kestra Partner Ecosystem Catalog — the go-to destination for integrations and solutions from Kestra's technology and services partners. Discover integrations and solutions from Kestra partners to help you build and run modern applications. This means three partner categories: Technology partners — cloud providers, data platforms, AI vendors, infrastructure tools that integrate natively with Kestra (AWS, GCP, Azure, dbt, Spark, OpenAI, Terraform, Kubernetes, and 1200+ plugins already in the ecosystem) Consulting & SI partners — system integrators and boutique firms that implement and customize Kestra for enterprise customers You own this program end to end: from signing the first partners to running the ecosystem at scale. The Role You report to the CEO and work closely with Product, PMM, Field Engineering, and the Sales team. This is a builder role . There is no playbook yet. You write it. Responsibilities 1 — Build the Partner Program from scratch Design the program structure: tiers, benefits, co-marketing, referral mechanics, certification requirements Define onboarding process, partner portal, co-sell rules of engagement Set KPIs: partner-sourced pipeline, partner-influenced ARR, ecosystem catalog coverage 2 — Sign and activate technology partners Identify and prioritize integration partners (strategic cloud platforms, AI/ML tooling, data i
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