Solution Engineer Associate
hace 4 días
New York
Location Remote — United States (US (New York or East Coast) - Remote) Type Full-time About Kestra Kestra is the open-source declarative orchestration platform that simplifies complex data workflows and business processes. We bridge the gap between engineering and business logic, allowing teams to build, scale, and monitor pipelines with clarity and control. In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face. The Role As an Associate Customer Success / Solutions Engineer, you'll sit at the intersection of Sales, Prospects, Product, and Community. As a growth role – you will be expected to: • Take ownership of opportunities and grow into larger ones, • Learn how to run POCs, triage issues, and guide customers toward best practices What You'll Do Pre-Sales & Solutions • Assist in technical discovery calls with prospects, • Support senior engineers in designing and running Proof of Concepts (POCs), • Build, refine, and deliver demo environments and example workflows, • Take ownership of smaller POCs and mid-market opportunities, • Learn how to position Kestra Enterprise against legacy solutions Customer Success • Support onboarding sessions and customer training workshops, • Help triage support issues and coordinate with Engineering, • Reproduce bugs and test workarounds, • Document customer architectures and best practices Community & Product Advocacy • Engage with our open-source community on Slack and GitHub, • Create internal documentation and reusable demo flows, • Contribute blog posts, tutorials, or short technical videos as you grow more confident, • Surface recurring customer friction points to Product What You Bring Mindset First • Strong curiosity and desire to learn orchestration deeply, • Comfortable saying "I don't know — let me find out", • Self-starter who takes initiative rather than waiting for direction, • Growth-oriented: actively seeks feedback and improvement, • Strong problem-solving instincts, • Comfortable operating in ambiguity and a fast-moving startup Technical Background You may not check every box — that's okay. • Previous experience in a highly technical role (Solutions Engineer, Support Engineer, DevOps, Data Engineer, or similar), • Hands-on experience in at least one of:, • Data engineering workflows, • Infrastructure automation, • Cloud-native application development, • Basic familiarity with Docker and containers, • Exposure to Kubernetes (even at a learning level), • Very comfortable reading YAML configuration files, • Programming experience in Python or similar scripting language, • Basic knowledge of SQL Nice to Have • Experience with orchestration tools (Airflow, Prefect, Dagster, etc.), • Exposure to Terraform or Infrastructure-as-Code, • Experience with AWS, GCP, or Azure, • Understanding of CI/CD pipelines, • Interest in AI/LLM workflows or MLOps Requirements • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • 1–3 years in a customer-facing or highly collaborative technical role, • Strong written English and verbal communication skills, • Ability to explain technical concepts clearly to different audiences, • Comfortable working remotely with a distributed team, • Willingness to learn quickly and take ownership of problems Growth Path Within 6 months, successful candidates will: • Independently run complex POCs, • Lead full customer lifecycle engagements, • Design production architectures, • Influence product roadmap through field insights, • Represent Kestra at meetups and events Why Join Kestra? • Remote-First: Work from anywhere in the U.S., • Mentorship: Direct exposure to senior solution architects, • High Impact: You'll help shape our Field Engineering playbook, • Open Source: Your work impacts thousands of users globally, • Modern Stack: Cloud-native, orchestration, AI agents, platform engineering, • Benefits: Healthcare, 401K, HSA, PTO, parental leave How to Apply Send us your CV and a brief note answering: What's the most interesting workflow or automation you've built — and what made it challenging? We care more about how you think than how many tools you've used.