Kestra
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Machine Learning • Software • Database
Investigate and reproduce customer-reported issues, write and maintain test plans and cases, perform manual and exploratory testing, validate fixes with engineers, improve automated test coverage, and track quality metrics across open-source and Enterprise editions.
Machine Learning • Software • Database
Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.
Machine Learning • Software • Database
Own AI workflows product: discover and validate AI use cases with customers, define roadmap and specs, create reusable blueprints with engineering, and prioritize what not to build.
Machine Learning • Software • Database
Build end-to-end AI features and prototypes across backend and frontend, prototype AI agent use cases, create UI/blueprints/examples to make AI workflows usable, and ship features quickly in collaboration with product and backend teams.
Machine Learning • Software • Database
Lead Kestra's analyst relations: build relationships with Gartner, Forrester and others; shape analyst-facing narrative and category framing; manage submissions and evaluations (Magic Quadrant, Waves); synthesize analyst intelligence for product, positioning, and GTM; prepare executives and enable sales with analyst validation.
Machine Learning • Software • Database
Join as an Associate Solutions/Customer Success Engineer supporting pre-sales discovery, running and owning smaller POCs, building demos, onboarding customers, triaging support issues, documenting architectures, and advocating product improvements. You'll be mentored to lead full lifecycle engagements and design production architectures within 6–12 months.
Machine Learning • Software • Database
Build Kestra's first outbound BDR motion by converting open source adoption signals into strategic conversations with developers and engineers. Research, qualify, and outreach using AI tools; generate SQL pipelines to translate signal into enterprise and cloud adoption; iterate on repeatable processes and GTM narratives.
Machine Learning • Software • Database
Lead pre-sales technical discovery and own POCs, onboard and support enterprise customers end-to-end, resolve escalations with engineering, drive architecture and scaling guidance, engage the open-source community, produce technical content, and advocate product feedback into the roadmap.
Machine Learning • Software • Database
Own the full enterprise sales cycle on the US East Coast: source and qualify opportunities, build pipeline (outbound and community-sourced), run discovery and demos, lead commercial negotiations with technical and business stakeholders, develop account strategies, collaborate cross-functionally, and maintain accurate forecasting and CRM hygiene to close $50K–$500K+ ARR deals.
Machine Learning • Software • Database
Own the full enterprise sales cycle across DACH for Kestra Enterprise Edition: prospecting, discovery, demos with Solution Engineers, negotiation, and close. Build pipeline from outbound, inbound, and community sources, map decision-makers, collaborate with product and developer advocates, and maintain accurate forecasts and CRM hygiene.
Machine Learning • Software • Database
Own product marketing for Kestra's infrastructure and cloud automation segment: define narrative, create technical and go-to-market content, enable sales and solutions engineering, gather market and customer intelligence, and translate open-source traction into enterprise positioning.
Machine Learning • Software • Database
Build and run Kestra's partner program end-to-end: design tiers and onboarding, sign and enable technology and consulting partners, coordinate integrations with Product/Engineering, run co-marketing and co-sell motions, maintain partner pipeline and KPIs, and operate the Kestra Partner Ecosystem Catalog to drive partner-sourced and partner-influenced revenue.
Machine Learning • Software • Database
Serve as the technical counterpart to sales for DACH enterprise deals: lead technical discovery, run tailored demos and POCs, design reference architectures and demos, advise on deployment/security/scaling, liaise with engineering/product teams, and contribute technical sales collateral.



