Kestra has delivered exceptional commercial results through a strong inbound business motion. Now is the time to add a complementary outbound motion by leveraging the open source adoption signals we already have, engaging directly with open source developers and engineering stakeholders, and encouraging them to explore our Enterprise and Cloud products.
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.
We are looking for a technically curious, open source driven, autonomous Senior BDR who will build the first outbound motion at Kestra. You will work from open source signals, understand real world usage, and create the bridge that encourages developers and engineers to explore Enterprise and Cloud offerings at the right moment.
Open strategic conversations through outbound, powered by open source intent
Understand how developers use plugins, blueprints, and workflows, and capture high signal context
Engage confidently with engineering and open source contributors, speaking their language with credibility
Encourage exploration of Kestra Enterprise and Kestra Cloud through outcome driven narratives
Build repeatable research, qualification, and outreach standards
Experiment, iterate, and shape the first outbound motion with autonomy and speed
Generate SQL pipeline that converts signal into enterprise adoption
Help define the future of orchestration GTM
Curious technically, comfortable understanding open source usage patterns
You enjoy automation and orchestration markets and know the landscape
You like open source, you are curious, you explore, you test, you learn fast
You use AI tools for business research, outreach, and signal based prospecting
You are autonomous, proactive, and you think like a builder
You are fast in execution, structured in approach, human in communication
You prefer creating motions to following scripts
You want to build something that scales, early, and make an impact
Build the first outbound BDR engine in a category defining open source orchestration platform
Freedom to experiment and iterate on GTM motion
Product proximity and exposure to strategy, roadmap influence, and market narratives
A product used for mission critical workloads, not demos
Competitive fixed salary, strong OTE, equity, health insurance, and essential benefits
Location: Remote
Type: Full-time
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 their pipelines with ease. As we scale our Enterprise offering, we are looking for a technical powerhouse who can guide our customers from their first POC to long-term architectural success.
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.
As a Customer Success / Solution Engineer, you will sit at the intersection of Sales, Product, and Community. You aren't just a support person; you are a Trusted Advisor. You will be responsible for the technical success of our Enterprise customers while acting as a bridge to our vibrant open-source community.
Whether it’s architecting a complex deployment for a Fortune 500 company or unblocking a community member on Slack, you are the face of Kestra’s technical excellence.
🚀 Pre-Sales & Solutions
Lead Pre-Sales Opportunities: Partner with the sales team to lead technical discovery, understand prospect requirements, and position Kestra Enterprise effectively.
Enterprise Evaluations: Own the Proof of Concept (POC) process. You will be responsible for the POC success plan; advising on architecture, success criteria and flow design to ensure our prospects realise the value of Kestra in record time.
Technical Evangelism: Demonstrate the technical advantages of our declarative, universal orchestrator and how it outshines legacy orchestrators.
🤝 Customer Success
Full 360 Ownership: Support existing customers throughout their entire lifecycle—from initial onboarding and training to quarterly architectural reviews.
Elite Technical Support: Own escalations for our Enterprise accounts. You’ll partner with our engineering team to diagnose complex issues and drive them to resolution by communicating clearly with customers, documenting learnings, and building processes or automations to avoid these in future.
Continuous Product Feedback: Translate real-world customer friction into product requirements. You are the \"Voice of the Customer,\" helping our developers prioritise the roadmap based on actual field data.
Unblock & Optimise: Identify technical bottlenecks in customer environments and provide best-practice guidance on scaling, managing resources, and securely running the platform.
Expansion & Use-Cases: Proactively find new internal use-cases for customers, helping them to expand their Kestra footprint from data engineering to infrastructure automation, Agentic AI orchestration and more.
🌐 Community & Product Advocacy
OSS Engagement: Be an active member of our open-source community. Advise users on Slack/GitHub and turn their feedback into product improvements.
Brand Ambassadorship: Represent Kestra at meetups, conferences and webinars. Create technical content such as blogs, \"How-to\" videos, and blueprints to help the ecosystem grow.
Engineering Liaison: Work closely with our core engineering team to prioritise features and resolve critical support issues in a timely fashion.
The Hybrid Skillset: You have the \"Engineer\" mind but the \"Consultant\" heart. You can code, but you also love talking to people.
Vertical Domain Expertise: Deep experience in at least one of the following:
Data Engineering: You’ve built production-grade pipelines using tools like dbt, Spark, Snowflake, or DuckDB.
Infrastructure-as-Code (Platform Engineering): You are a pro with Terraform/OpenTofu, Kubernetes, and CI/CD patterns.
AI/MLOps: You understand the lifecycle of LLMs, vector databases, and the orchestration required to move models from notebook to production.
Data/Orchestration Background: Experience with tools like Airflow, Prefect, or Dagster is a huge plus. You understand the \"pain\" of orchestration.
Problem Solver: You don’t just report bugs; you find workarounds and suggest long-term architectural fixes.
Communication: Ability to explain complex infrastructure concepts to both a CTO and a Junior Data Analyst.
Remote-First: Work from anywhere with a flexible schedule.
High Impact: You’ll be one of the first hires in this department, helping define the \"Field Engineering\" playbook.
Open Source: We believe in the power of community. Your work will be visible and impactful to thousands of users globally.
Modern Stack: Work with the latest in cloud-native technologies, AI agents, and high-performance orchestration.
Does this sound like you? Send us your CV and a brief note about the coolest workflow you’ve ever built (and why it was a nightmare to orchestrate before Kestra!).
","descriptionPlain":"Location: Remote\n\nType: Full-time\n\n\n\n\nABOUT KESTRA\n\nKestra 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 their pipelines with ease. As we scale our Enterprise offering, we are looking for a technical powerhouse who can guide our customers from their first POC to long-term architectural success.\n\nIn 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.\n\n\n\n\nTHE ROLE\n\nAs a Customer Success / Solution Engineer, you will sit at the intersection of Sales, Product, and Community. You aren't just a support person; you are a Trusted Advisor. You will be responsible for the technical success of our Enterprise customers while acting as a bridge to our vibrant open-source community.\n\nWhether it’s architecting a complex deployment for a Fortune 500 company or unblocking a community member on Slack, you are the face of Kestra’s technical excellence.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n🚀 Pre-Sales & Solutions\n\n - Lead Pre-Sales Opportunities: Partner with the sales team to lead technical discovery, understand prospect requirements, and position Kestra Enterprise effectively.\n\n - Enterprise Evaluations: Own the Proof of Concept (POC) process. You will be responsible for the POC success plan; advising on architecture, success criteria and flow design to ensure our prospects realise the value of Kestra in record time.\n\n - Technical Evangelism: Demonstrate the technical advantages of our declarative, universal orchestrator and how it outshines legacy orchestrators.\n\n\n\n🤝 Customer Success\n\n - Full 360 Ownership: Support existing customers throughout their entire lifecycle—from initial onboarding and training to quarterly architectural reviews.\n\n - Elite Technical Support: Own escalations for our Enterprise accounts. You’ll partner with our engineering team to diagnose complex issues and drive them to resolution by communicating clearly with customers, documenting learnings, and building processes or automations to avoid these in future.\n\n - Continuous Product Feedback: Translate real-world customer friction into product requirements. You are the \"Voice of the Customer,\" helping our developers prioritise the roadmap based on actual field data.\n\n - Unblock & Optimise: Identify technical bottlenecks in customer environments and provide best-practice guidance on scaling, managing resources, and securely running the platform.\n\n - Expansion & Use-Cases: Proactively find new internal use-cases for customers, helping them to expand their Kestra footprint from data engineering to infrastructure automation, Agentic AI orchestration and more.\n\n\n\n🌐 Community & Product Advocacy\n\n - OSS Engagement: Be an active member of our open-source community. Advise users on Slack/GitHub and turn their feedback into product improvements.\n\n - Brand Ambassadorship: Represent Kestra at meetups, conferences and webinars. Create technical content such as blogs, \"How-to\" videos, and blueprints to help the ecosystem grow.\n\n - Engineering Liaison: Work closely with our core engineering team to prioritise features and resolve critical support issues in a timely fashion.\n\n\n\n\nWHAT YOU BRING\n\n - The Hybrid Skillset: You have the \"Engineer\" mind but the \"Consultant\" heart. You can code, but you also love talking to people.\n\n - Vertical Domain Expertise: Deep experience in at least one of the following:\n \n - Data Engineering: You’ve built production-grade pipelines using tools like dbt, Spark, Snowflake, or DuckDB.\n \n - Infrastructure-as-Code (Platform Engineering): You are a pro with Terraform/OpenTofu, Kubernetes, and CI/CD patterns.\n \n - AI/MLOps: You understand the lifecycle of LLMs, vector databases, and the orchestration required to move models from notebook to production.\n\n - Data/Orchestration Background: Experience with tools like Airflow, Prefect, or Dagster is a huge plus. You understand the \"pain\" of orchestration.\n\n - Problem Solver: You don’t just report bugs; you find workarounds and suggest long-term architectural fixes.\n\n - Communication: Ability to explain complex infrastructure concepts to both a CTO and a Junior Data Analyst.\n\n\n\n\nWHY JOIN KESTRA?\n\n - Remote-First: Work from anywhere with a flexible schedule.\n\n - High Impact: You’ll be one of the first hires in this department, helping define the \"Field Engineering\" playbook.\n\n - Open Source: We believe in the power of community. Your work will be visible and impactful to thousands of users globally.\n\n - Modern Stack: Work with the latest in cloud-native technologies, AI agents, and high-performance orchestration.\n\n\n\n\nHOW TO APPLY\n\nDoes this sound like you? Send us your CV and a brief note about the coolest workflow you’ve ever built (and why it was a nightmare to orchestrate before Kestra!)."},{"id":"d093a263-d23e-4ee0-a375-de1a6e0ac165","title":"Solution Engineer Associate","department":"Customer Operations","team":"Customer Operations","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-03-23T09:41:38.073+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/kestra/d093a263-d23e-4ee0-a375-de1a6e0ac165","applyUrl":"https://jobs.ashbyhq.com/kestra/d093a263-d23e-4ee0-a375-de1a6e0ac165/application","descriptionHtml":"Location: Remote — United States (US (New York or East Coast) - Remote
Type: Full-time
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.
As our Enterprise adoption grows, we’re looking for a hungry, technical self-starter who wants to grow into a senior Solutions Engineer role over time. You’ll be working with experienced field engineers and architects — but you’ll be expected to take initiative, learn quickly, and grow quickly into the role.
As an Associate Customer Success / Solutions Engineer, you’ll sit at the intersection of Sales, Prospects, Product, and Community.
This is 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
Develop into a trusted technical advisor over time
You will work closely with senior Solution Engineers and receive structured mentorship. The goal is simple: grow you into a full 360° technical advisor with 12 months**.**
🚀 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
Participate in quarterly customer reviews alongside senior team members
You will be expected to grow into leading full lifecycle ownership of accounts.
🌎 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
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
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
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
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
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
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.
","descriptionPlain":"Location: Remote — United States (US (New York or East Coast) - Remote\n\nType: Full-time\n\n\n\n\nABOUT KESTRA\n\nKestra 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.\n\nIn 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.\n\nAs our Enterprise adoption grows, we’re looking for a hungry, technical self-starter who wants to grow into a senior Solutions Engineer role over time. You’ll be working with experienced field engineers and architects — but you’ll be expected to take initiative, learn quickly, and grow quickly into the role.\n\n\n\n\nTHE ROLE\n\nAs an Associate Customer Success / Solutions Engineer, you’ll sit at the intersection of Sales, Prospects, Product, and Community.\n\nThis is a growth role — you will be expected to:\n\n - Take ownership of opportunities and grow into larger ones\n\n - Learn how to run POCs, triage issues, and guide customers toward best practices\n\n - Develop into a trusted technical advisor over time\n\nYou will work closely with senior Solution Engineers and receive structured mentorship. The goal is simple: grow you into a full 360° technical advisor with 12 months**.**\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n🚀 Pre-Sales & Solutions\n\n - Assist in technical discovery calls with prospects\n\n - Support senior engineers in designing and running Proof of Concepts (POCs)\n\n - Build, refine, and deliver demo environments and example workflows\n\n - Take ownership of smaller POCs and mid-market opportunities\n\n - Learn how to position Kestra Enterprise against legacy solutions\n\n\n\n🤝 Customer Success\n\n - Support onboarding sessions and customer training workshops\n\n - Help triage support issues and coordinate with Engineering\n\n - Reproduce bugs and test workarounds\n\n - Document customer architectures and best practices\n\n - Participate in quarterly customer reviews alongside senior team members\n\nYou will be expected to grow into leading full lifecycle ownership of accounts.\n\n\n\n🌎 Community & Product Advocacy\n\n - Engage with our open-source community on Slack and GitHub\n\n - Create internal documentation and reusable demo flows\n\n - Contribute blog posts, tutorials, or short technical videos as you grow more confident\n\n - Surface recurring customer friction points to Product\n\n\n\n\n👉 WHAT YOU BRING\n\n\n\nMindset First\n\n - Strong curiosity and desire to learn orchestration deeply\n\n - Comfortable saying “I don’t know — let me find out”\n\n - Self-starter who takes initiative rather than waiting for direction\n\n - Growth-oriented: actively seeks feedback and improvement\n\n - Strong problem-solving instincts\n\n - Comfortable operating in ambiguity and a fast-moving startup\n\n\n\nTechnical Background\n\nYou may not check every box — that’s okay.\n\n - Previous experience in a highly technical role (Solutions Engineer, Support Engineer, DevOps, Data Engineer, or similar)\n\n - Hands-on experience in at least one of:\n \n - Data engineering workflows\n \n - Infrastructure automation\n \n - Cloud-native application development\n\n - Basic familiarity with Docker and containers\n\n - Exposure to Kubernetes (even at a learning level)\n\n - Very comfortable reading YAML configuration files\n\n - Programming experience in Python or similar scripting language\n\n - Basic knowledge of SQL\n\n\n\n\nNICE TO HAVE\n\n - Experience with orchestration tools (Airflow, Prefect, Dagster, etc.)\n\n - Exposure to Terraform or Infrastructure-as-Code\n\n - Experience with AWS, GCP, or Azure\n\n - Understanding of CI/CD pipelines\n\n - Interest in AI/LLM workflows or MLOps\n\n\n\n\nREQUIREMENTS\n\n - Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience\n\n - 1–3 years in a customer-facing or highly collaborative technical role\n\n - Strong written English and verbal communication skills\n\n - Ability to explain technical concepts clearly to different audiences\n\n - Comfortable working remotely with a distributed team\n\n - Willingness to learn quickly and take ownership of problems\n\n\n\n\nGROWTH PATH\n\nWithin 6 months, successful candidates will:\n\n - Independently run complex POCs\n\n - Lead full customer lifecycle engagements\n\n - Design production architectures\n\n - Influence product roadmap through field insights\n\n - Represent Kestra at meetups and events\n\n\n\n\nWHY JOIN KESTRA?\n\n - Remote-First: Work from anywhere in the U.S.\n\n - Mentorship: Direct exposure to senior solution architects\n\n - High Impact: You’ll help shape our Field Engineering playbook\n\n - Open Source: Your work impacts thousands of users globally\n\n - Modern Stack: Cloud-native, orchestration, AI agents, platform engineering\n\n - Benefits: Healthcare, 401K, HSA, PTO, parental leave\n\n\n\n\nHOW TO APPLY\n\nSend us your CV and a brief note answering:\n\nWhat’s the most interesting workflow or automation you’ve built — and what made it challenging?\n\nWe care more about how you think than how many tools you’ve used."},{"id":"8fcb3b4c-fc4b-476d-85ac-3e9a69dccad5","title":"Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Germany","secondaryLocations":[],"publishedAt":"2026-03-27T17:44:13.488+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Berlin","addressCountry":"Germany","addressLocality":"Berlin"}},"jobUrl":"https://jobs.ashbyhq.com/kestra/8fcb3b4c-fc4b-476d-85ac-3e9a69dccad5","applyUrl":"https://jobs.ashbyhq.com/kestra/8fcb3b4c-fc4b-476d-85ac-3e9a69dccad5/application","descriptionHtml":"Kestra is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.
Trusted by over 10,000 organizations worldwide — including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole — Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.
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.
We're looking for an Account Executive based in Germany to drive enterprise sales across the DACH region. You'll own the full sales cycle for Kestra's Enterprise Edition, from prospecting and qualification through negotiation and close.
This is a fully remote position. Because the role requires regular engagement with German-speaking enterprise buyers, we're hiring specifically from Germany.
Own the full sales cycle for enterprise accounts in the DACH region, from outbound prospecting to contract close.
Build and manage a qualified pipeline through a mix of outbound efforts, inbound leads, and community-sourced opportunities from Kestra's open-source user base.
Run discovery calls, product demos (in partnership with Solution Engineers), and commercial negotiations with technical and business stakeholders.
Develop account strategies for target organizations, mapping decision-makers across engineering, data, and IT leadership.
Collaborate closely with Solution Engineers, Developer Advocates, and Product to align messaging with what Kestra delivers in practice.
Provide accurate pipeline forecasts and maintain disciplined CRM hygiene.
Proven track record in B2B enterprise software sales, ideally selling to technical buyers (engineering leaders, platform teams, data teams).
Experience selling in the DACH market with an existing network of enterprise contacts being a strong advantage.
Ability to understand technical products at a level that earns credibility with engineering stakeholders. You don't need to write code, but you need to follow a technical conversation about infrastructure, orchestration, or automation.
Fluent in both English and German (written and spoken) at a professional level.
Comfortable operating in a startup environment with minimal structure. You build your own playbook rather than waiting for one.
Strong communicator who can translate technical capabilities into business value for different audiences.
Experience selling open-source or developer-focused products where community adoption drives commercial conversion.
Familiarity with orchestration, workflow automation, data engineering, or infrastructure tooling.
Past experience at a B2B SaaS company, especially in an early-stage or growth-stage environment.
Understanding of land-and-expand sales motions and usage-based pricing models.
Real ownership in a globally distributed, technical team.
Direct exposure to product strategy and company priorities.
A product used for mission-critical workloads — not demos.
Competitive compensation, equity, and health insurance.
Location: US (New York or East Coast) - Remote
Type: Full-time
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.
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.
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.
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 infrastructure, DevOps/IDP vendors)
Lead partnership negotiations: co-marketing agreements, joint GTM plans, technical integration scopes
Coordinate with Product and Engineering to ship and document integrations
3 — Develop consulting & SI partnerships
Map the landscape of relevant system integrators, boutique DevOps/data consultancies, and nearshore delivery firms
Structure partner enablement: training, certifications, Kestra Academy access, demo environments
Run joint account planning with Field Engineers and Account Executives
4 — Drive ecosystem growth
Own the Kestra Partner Ecosystem Catalog — content, positioning, and launch
Build co-marketing plays: joint case studies, webinars, conference presence, community cross-pollination
Work with PMM on partner-led demand generation campaigns
Maintain a healthy pipeline of partner candidates at all stages
Quarterly business reviews with strategic partners
Report on partner-sourced and partner-influenced revenue monthly
Must-have
4–7 years in partnerships, business development, or alliances — ideally in open-source infrastructure, data tooling, DevOps, or cloud platforms
Experience building a partnership program from early stage (not just inheriting and operating one)
Technically fluent: you understand how integrations work, can speak to engineering teams, and read a YAML config without flinching
Strong commercial instincts: you know how to structure a win-win deal and move it to signature
Excellent written and verbal communication — in English, German or French a plus
Strong plus
Prior exposure to open-source ecosystems and developer communities
Experience with workflow orchestration, data pipelines, or infrastructure automation
Existing network in the data/cloud/DevOps consulting world (Europe or US)
Familiarity with co-sell and co-market mechanics in cloud marketplaces (AWS, GCP, Azure)
Series A company, moving fast, expanding in the US and DACH
You own a greenfield — full scope, full accountability
Direct line to the CEO and leadership team
Open-source product with genuine community traction (~30K GitHub stars)
Remote-friendly with a strong engineering culture
Real ownership in a globally distributed, technical team
Direct line to the CEO and full visibility on company strategy
A product already running mission-critical workloads at Fortune 500 companies
Competitive compensation, equity, and health insurance
Base: US (East Coast preferred), fully remote. Regular travel to customers, industry events, and team offsites. Close coordination with the European team across time zones.
","descriptionPlain":"Location: US (New York or East Coast) - Remote\n\nType: Full-time\n\n\n\n\nABOUT KESTRA\n\nKestra 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.\n\nWe just closed a $25M Series A (total $36M raised). 2 billion workflows executed in 2025. ~30,000 GitHub stars. 25x revenue growth since Seed.\n\nWe're not a niche tool. We orchestrate data pipelines, infrastructure automation, business processes, and agentic AI workflows — all in one platform.\n\n\nTHE MISSION\n\nWe're building the Kestra Partner Ecosystem Catalog — the go-to destination for integrations and solutions from Kestra's technology and services partners.\n\nDiscover integrations and solutions from Kestra partners to help you build and run modern applications.\n\nThis means three partner categories:\n\n - 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)\n\n - Consulting & SI partners — system integrators and boutique firms that implement and customize Kestra for enterprise customers\n\nYou own this program end to end: from signing the first partners to running the ecosystem at scale.\n\n\nTHE ROLE\n\nYou report to the CEO and work closely with Product, PMM, Field Engineering, and the Sales team.\n\nThis is a builder role. There is no playbook yet. You write it.\n\n\nRESPONSIBILITIES\n\n1 — Build the Partner Program from scratch\n\n - Design the program structure: tiers, benefits, co-marketing, referral mechanics, certification requirements\n\n - Define onboarding process, partner portal, co-sell rules of engagement\n\n - Set KPIs: partner-sourced pipeline, partner-influenced ARR, ecosystem catalog coverage\n\n2 — Sign and activate technology partners\n\n - Identify and prioritize integration partners (strategic cloud platforms, AI/ML tooling, data infrastructure, DevOps/IDP vendors)\n\n - Lead partnership negotiations: co-marketing agreements, joint GTM plans, technical integration scopes\n\n - Coordinate with Product and Engineering to ship and document integrations\n\n3 — Develop consulting & SI partnerships\n\n - Map the landscape of relevant system integrators, boutique DevOps/data consultancies, and nearshore delivery firms\n\n - Structure partner enablement: training, certifications, Kestra Academy access, demo environments\n\n - Run joint account planning with Field Engineers and Account Executives\n\n4 — Drive ecosystem growth\n\n - Own the Kestra Partner Ecosystem Catalog — content, positioning, and launch\n\n - Build co-marketing plays: joint case studies, webinars, conference presence, community cross-pollination\n\n - Work with PMM on partner-led demand generation campaigns\n\n\n5 — OPERATE WITH RIGOR\n\n - Maintain a healthy pipeline of partner candidates at all stages\n\n - Quarterly business reviews with strategic partners\n\n - Report on partner-sourced and partner-influenced revenue monthly\n\n\nWHAT WE'RE LOOKING FOR\n\nMust-have\n\n - 4–7 years in partnerships, business development, or alliances — ideally in open-source infrastructure, data tooling, DevOps, or cloud platforms\n\n - Experience building a partnership program from early stage (not just inheriting and operating one)\n\n - Technically fluent: you understand how integrations work, can speak to engineering teams, and read a YAML config without flinching\n\n - Strong commercial instincts: you know how to structure a win-win deal and move it to signature\n\n - Excellent written and verbal communication — in English, German or French a plus\n\nStrong plus\n\n - Prior exposure to open-source ecosystems and developer communities\n\n - Experience with workflow orchestration, data pipelines, or infrastructure automation\n\n - Existing network in the data/cloud/DevOps consulting world (Europe or US)\n\n - Familiarity with co-sell and co-market mechanics in cloud marketplaces (AWS, GCP, Azure)\n\n\nWHY KESTRA\n\n - Series A company, moving fast, expanding in the US and DACH\n\n - You own a greenfield — full scope, full accountability\n\n - Direct line to the CEO and leadership team\n\n - Open-source product with genuine community traction (~30K GitHub stars)\n\n - Remote-friendly with a strong engineering culture\n\n\nWHAT YOU GET\n\n - Real ownership in a globally distributed, technical team\n\n - Direct line to the CEO and full visibility on company strategy\n\n - A product already running mission-critical workloads at Fortune 500 companies\n\n - Competitive compensation, equity, and health insurance\n\n\nLOCATION & TRAVEL\n\nBase: US (East Coast preferred), fully remote. Regular travel to customers, industry events, and team offsites. Close coordination with the European team across time zones."},{"id":"b0b7719c-6e88-4a21-9b79-52b85ac2ecb9","title":"Enterprise Account Executive ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-03-31T11:15:32.433+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/kestra/b0b7719c-6e88-4a21-9b79-52b85ac2ecb9","applyUrl":"https://jobs.ashbyhq.com/kestra/b0b7719c-6e88-4a21-9b79-52b85ac2ecb9/application","descriptionHtml":"Location: Remote (US East Coast)
Kestra is the universal orchestration platform — open source, API-first, and built to orchestrate everything: data pipelines, IT automation, business workflows, and AI/agentic systems.
Close to 30,000 GitHub stars. Over 10,000 organizations running Kestra worldwide. Mission-critical workloads at JPMorgan Chase, Bloomberg, Apple, and Crédit Agricole. Two billion workflows executed in 2025 alone.
We just closed a $25M Series A led by RTP Global ($36M total raised). We're building the Orchestration Control Plane of the AI Era — and we need someone on the ground in the US to turn open-source traction into enterprise revenue.
This is a hunter role. You'll own the full enterprise sales cycle on the US East Coast — from sourcing and qualifying opportunities to running complex, multi-stakeholder deals through to close. Your territory covers some of the largest financial services, healthcare, and technology organizations in the world.
You won't be handed a playbook. You'll build one. This is our first dedicated enterprise AE in the region, and we need someone who thrives in that kind of environment — high autonomy, direct access to founders, and real impact on how we go to market in the US.
A significant part of your pipeline will come from Kestra's open-source community: engineering teams already using the product in production. You'll turn that organic adoption into commercial relationships at the enterprise level.
Own the full sales cycle for enterprise accounts on the US East Coast, from first touch to signed contract. Typical deal sizes: $50K–$500K+ ARR.
Build pipeline through a mix of outbound prospecting, inbound leads, partner referrals, and community-sourced opportunities from Kestra's open-source user base.
Run discovery and demos in partnership with Solution Engineers. Lead commercial negotiations with both technical and business stakeholders — VPs of Engineering, Heads of Data, Platform leads, and occasionally C-suite.
Develop account strategies for target organizations: map buying committees, identify champions, understand procurement workflows, and navigate complex enterprise decision-making.
Collaborate cross-functionally with Solution Engineers, Developer Advocates, Marketing, and Product to sharpen messaging, surface product feedback, and align on what Kestra delivers in practice.
Maintain forecasting discipline. Accurate pipeline reporting, clean CRM, no surprises.
5+ years of B2B enterprise software sales experience, closing deals in the $50K–$500K+ range with complex buying committees.
Proven quota attainment. You've been a top performer — top 10-20% of your sales org — and can show a consistent track record of hitting or exceeding targets.
Experience selling to technical buyers: engineering leaders, platform teams, data teams, DevOps/infrastructure teams. You earn credibility in technical conversations. You don't need to write YAML, but you need to understand why someone would.
Hunter DNA. You've built pipeline from scratch, not just worked inbound. Outbound prospecting is part of how you operate, not something you tolerate.
Comfortable in a startup environment with minimal structure. You build your own playbook, define your own territory strategy, and move fast without waiting for permission.
Strong communicator who can translate deep technical capabilities into business value for different audiences — from a Staff Engineer evaluating orchestration tools to a VP making a platform bet.
Experience selling open-source or developer-focused products where community adoption drives commercial conversion (PLG/open-core models).
Familiarity with orchestration, workflow automation, data engineering, or infrastructure tooling — you understand the ecosystem Kestra competes in.
Past experience at a Series A–C stage company where you helped define and scale the sales motion.
Understanding of land-and-expand sales strategies and usage-based or consumption-based pricing models.
Existing network of enterprise contacts in financial services, healthcare, or technology on the US East Coast.
Real ownership in a globally distributed, high-caliber technical team. This isn't a cog-in-the-machine role.
Direct access to founders and influence on product strategy, go-to-market approach, and company priorities.
A product that sells itself — Kestra is already running mission-critical workloads at Fortune 500 companies. You're not selling vaporware.
Competitive compensation: strong base + uncapped commission + equity.
Health insurance, flexible PTO, and remote-first culture.
Kestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.
Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.
We’re looking for a Senior DevOps Engineer to build, and scale the infrastructure behind our SaaS platform, currently under development. If you thrive at the intersection of innovation and execution, this role is your chance to lead transformative projects and help shape Kestra’s future.
Architect, build, and scale the infrastructure for Kestra’s SaaS platform.
Automate cloud resource provisioning and management to enhance reliability and efficiency.
Optimize monitoring, deployment, and repair systems to ensure high availability.
Improve and maintain CI/CD pipelines for smooth, reliable deployments.
Troubleshoot and resolve infrastructure and application issues promptly.
Drive innovation with solutions that enhance engineering productivity.
Continuously improve operational metrics like deployment speed and system reliability.
Datastore: PostgreSQL, Elasticsearch
Queuing: Redis, Kafka, Google Pub/Sub
Infrastructure: Docker, Kubernetes
IAC: Terraform
Cloud: GCP, AWS
Monitoring: ELK, Prometheus, Grafana
Deployment: ArgoCD
Tools: GitHub for repo management, actions, and issues
We work with a variety of modern technologies, and you’ll get the opportunity to explore new tools and approaches as we grow.
7+ years of experience in DevOps, SRE, or similar infrastructure-focused roles.
Deep expertise in Kubernetes and Terraform, with hands-on experience in GCP or AWS.
Strong problem-solving skills, with a focus on automation and scalability.
Fluent in English and comfortable working in a fully remote environment.
Experience managing and monitoring distributed systems and databases such as Kafka, PostgreSQL, and Elasticsearch.
Adaptability to a startup environment, where delivering impactful features quickly is a priority.
Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.
Health coverage: From medical support, dental, and vision, we've got you covered.
Home office setup on us: We’ll provide all the equipment you need to work comfortably.
We aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.
Intro call with the hiring manager (30 min)
Technical test (2 hour, homework done in async)
Team chat with one of your future colleagues (30 min)
Final discussion with one of our co-founders (30 min)
We’re here to make the process smooth and transparent for you.
","descriptionPlain":"ABOUT KESTRA\n\nKestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.\n\nTrusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior DevOps Engineer to build, and scale the infrastructure behind our SaaS platform, currently under development. If you thrive at the intersection of innovation and execution, this role is your chance to lead transformative projects and help shape Kestra’s future.\n\n \n\n\nWHAT YOU WOULD DO\n\n - Architect, build, and scale the infrastructure for Kestra’s SaaS platform.\n\n - Automate cloud resource provisioning and management to enhance reliability and efficiency.\n\n - Optimize monitoring, deployment, and repair systems to ensure high availability.\n\n - Improve and maintain CI/CD pipelines for smooth, reliable deployments.\n\n - Troubleshoot and resolve infrastructure and application issues promptly.\n\n - Drive innovation with solutions that enhance engineering productivity.\n\n - Continuously improve operational metrics like deployment speed and system reliability.\n\n\nOUR TECH STACK\n\n - Datastore: PostgreSQL, Elasticsearch\n\n - Queuing: Redis, Kafka, Google Pub/Sub\n\n - Infrastructure: Docker, Kubernetes\n\n - IAC: Terraform\n\n - Cloud: GCP, AWS\n\n - Monitoring: ELK, Prometheus, Grafana\n\n - Deployment: ArgoCD\n\n - Tools: GitHub for repo management, actions, and issues\n\nWe work with a variety of modern technologies, and you’ll get the opportunity to explore new tools and approaches as we grow.\n\n\nWHAT WE ARE LOOKING FOR\n\n - 7+ years of experience in DevOps, SRE, or similar infrastructure-focused roles.\n\n - Deep expertise in Kubernetes and Terraform, with hands-on experience in GCP or AWS.\n\n - Strong problem-solving skills, with a focus on automation and scalability.\n\n - Fluent in English and comfortable working in a fully remote environment.\n\n - Experience managing and monitoring distributed systems and databases such as Kafka, PostgreSQL, and Elasticsearch.\n\n - Adaptability to a startup environment, where delivering impactful features quickly is a priority.\n\n\nPERKS & BENEFITS\n\n - Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.\n\n - Health coverage: From medical support, dental, and vision, we've got you covered.\n\n - Home office setup on us: We’ll provide all the equipment you need to work comfortably.\n\n\nOUR HIRING PROCESS\n\nWe aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.\n\n - Intro call with the hiring manager (30 min)\n\n - Technical test (2 hour, homework done in async)\n\n - Team chat with one of your future colleagues (30 min)\n\n - Final discussion with one of our co-founders (30 min)\n\nWe’re here to make the process smooth and transparent for you.\n\n\n"},{"id":"811d671f-3f51-4527-95c7-625fc2481fb4","title":"Senior Backend Engineer, AI Orchestration","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Europe","secondaryLocations":[],"publishedAt":"2026-06-26T14:38:33.788+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"59650","addressRegion":"Nord","streetAddress":"Le Neo 2, 12 Rue Denis Papin Bâtiment A","addressCountry":"France","addressLocality":"Villeneuve-d'Ascq"}},"jobUrl":"https://jobs.ashbyhq.com/kestra/811d671f-3f51-4527-95c7-625fc2481fb4","applyUrl":"https://jobs.ashbyhq.com/kestra/811d671f-3f51-4527-95c7-625fc2481fb4/application","descriptionHtml":"At Kestra, we’re on a mission to make orchestration and automation simpler for everyone. Our open-source platform helps teams manage complex workflows with confidence, and we’re already making a big impact in businesses around the world. Now, we’re looking for a Full Stack Engineer to help us take things to the next level.
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.
Kestra orchestrates workflows across systems and domains. AI agents and LLM-driven workflows are a growing part of that, and this role is about making sure they can run reliably inside the orchestrator. This is not a wrapper around a model API, but a platform orchestrating how agent steps should be run, retried, branched, and kept observable inside the orchestrator. That work happens in the Kestra core, which is Java.
Design and build the execution primitives for AI workflows in the Kestra engine
Build and maintain the plugins that connect Kestra to LLM providers and agent frameworks
Turn real agent use cases into reusable blueprints, together with the product team
Keep AI executions observable and debuggable to the same standard as the rest of Kestra
A strong Java background. You have built and maintained production Java systems, not used Java in passing.
Hands-on experience with LangChain4j or a comparable Java agent framework
A clear mental model of how agentic systems are actually run: tool calls, state, retries, failure modes
Comfort working close to an orchestration engine, where correctness and reliability matter more than demos
Backend: Java, Micronaut
Frontend: Vue.js, Bootstrap
Datastore: Kafka, Elasticsearch, PostgreSQL, MySQL
Infrastructure: Docker, Kubernetes, Terraform
Cloud: GCP, AWS, Azure
Tools: GitHub for repo management, actions, and issues
We work with a variety of modern technologies, and you’ll get the opportunity to explore new tools and approaches as we grow.
Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.
Health coverage: From medical support, dental, and vision, we've got you covered.
Home office setup on us: We’ll provide all the equipment you need to work comfortably.
We aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.
Intro call with the hiring manager (30 min)
Technical test (2 hour, homework done in async)
Team chat with two of your future colleagues (30 min)
Final discussion with one of our co-founders (30 min)
We’re here to make the process smooth and transparent for you.
This is a Java-first role. The AI ecosystem is mostly Python and we know that. We can work with someone who has built AI systems in Python (or in TypeScript via LangChain.js) and has a solid Java background to grow from. We cannot work with someone who only knows the Python AI stack and does not want to write Java.
We are also not looking for candidates whose AI experience is a single demo or a personal side project. We want people who have run AI in production, dealt with outages, and learned from the failures that come with it.
","descriptionPlain":"ABOUT KESTRA\n\nAt Kestra, we’re on a mission to make orchestration and automation simpler for everyone. Our open-source platform helps teams manage complex workflows with confidence, and we’re already making a big impact in businesses around the world. Now, we’re looking for a Full Stack Engineer to help us take things to the next level.\n\nIn 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.\n\n\nABOUT THE ROLE\n\nKestra orchestrates workflows across systems and domains. AI agents and LLM-driven workflows are a growing part of that, and this role is about making sure they can run reliably inside the orchestrator. This is not a wrapper around a model API, but a platform orchestrating how agent steps should be run, retried, branched, and kept observable inside the orchestrator. That work happens in the Kestra core, which is Java.\n\n\nWHAT YOU WOULD DO\n\n - Design and build the execution primitives for AI workflows in the Kestra engine\n\n - Build and maintain the plugins that connect Kestra to LLM providers and agent frameworks\n\n - Turn real agent use cases into reusable blueprints, together with the product team\n\n - Keep AI executions observable and debuggable to the same standard as the rest of Kestra\n\n\nWHAT WE ARE LOOKING FOR\n\n - A strong Java background. You have built and maintained production Java systems, not used Java in passing.\n\n - Hands-on experience with LangChain4j or a comparable Java agent framework\n\n - A clear mental model of how agentic systems are actually run: tool calls, state, retries, failure modes\n\n - Comfort working close to an orchestration engine, where correctness and reliability matter more than demos\n\n\nOUR TECH STACK\n\n - Backend: Java, Micronaut\n\n - Frontend: Vue.js, Bootstrap\n\n - Datastore: Kafka, Elasticsearch, PostgreSQL, MySQL\n\n - Infrastructure: Docker, Kubernetes, Terraform\n\n - Cloud: GCP, AWS, Azure\n\n - Tools: GitHub for repo management, actions, and issues\n\nWe work with a variety of modern technologies, and you’ll get the opportunity to explore new tools and approaches as we grow.\n\n\nPERKS & BENEFITS\n\n - Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.\n\n - Health coverage: From medical support, dental, and vision, we've got you covered.\n\n - Home office setup on us: We’ll provide all the equipment you need to work comfortably.\n\n\nOUR HIRING PROCESS\n\nWe aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.\n\n - Intro call with the hiring manager (30 min)\n\n - Technical test (2 hour, homework done in async)\n\n - Team chat with two of your future colleagues (30 min)\n\n - Final discussion with one of our co-founders (30 min)\n\nWe’re here to make the process smooth and transparent for you.\n\n \n\n\nBEFORE YOU APPLY\n\nThis is a Java-first role. The AI ecosystem is mostly Python and we know that. We can work with someone who has built AI systems in Python (or in TypeScript via LangChain.js) and has a solid Java background to grow from. We cannot work with someone who only knows the Python AI stack and does not want to write Java.\n\nWe are also not looking for candidates whose AI experience is a single demo or a personal side project. We want people who have run AI in production, dealt with outages, and learned from the failures that come with it.\n\n\n"},{"id":"51b67438-6b1a-494a-acea-b3f25bc62070","title":"Product Manager, AI","department":"Products","team":"Products","employmentType":"FullTime","location":"Europe","secondaryLocations":[],"publishedAt":"2026-06-26T14:41:42.908+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"59650","addressRegion":"Nord","streetAddress":"Le Neo 2, 12 Rue Denis Papin Bâtiment A","addressCountry":"France","addressLocality":"Villeneuve-d'Ascq"}},"jobUrl":"https://jobs.ashbyhq.com/kestra/51b67438-6b1a-494a-acea-b3f25bc62070","applyUrl":"https://jobs.ashbyhq.com/kestra/51b67438-6b1a-494a-acea-b3f25bc62070/application","descriptionHtml":"Kestra is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.
Trusted by over 10,000 organizations worldwide — including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole — Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.
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.
Kestra orchestrates workflows across systems and domains, and AI agents and LLM-driven workflows are a growing part of that. You will own the product side of AI workflows at Kestra: what we build and for whom. The job is to find the AI use cases worth supporting, validate them with customers, and shape them into product.
You would work directly with the founders, the engineering team, and customer-facing colleagues.
Define the AI features, from use cases to roadmap planning
Run customer and prospect interviews to validate which AI workflows are worth building
Turn validated use cases into specs and reusable blueprints with the engineering team
Decide what we do not build, and say so clearly
Real experience building AI or developer products, with examples you can talk through in depth
Strong product judgment: you can tell a serious use case from a flashy one
Technical fluency. You do not need to write the code, but you need to understand agents, orchestration, and integrations well enough to scope them.
Direct, low-fluff communication
Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.
Health coverage: From medical support, dental, and vision, we've got you covered.
Home office setup on us: We’ll provide all the equipment you need to work comfortably.
We aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.
Intro call with the hiring manager (30 min)
Technical test (homework done in async)
Team chat with two of your future colleagues (30 min)
Final discussion with one of our co-founders (30 min)
We’re here to make the process smooth and transparent for you.
We have seen too many AI candidates whose entire experience is one demo or one prototype. If that is the depth of your AI background, this is not the right role. We are looking for someone who has released AI product to real users and can speak to the trade-offs.
","descriptionPlain":"ABOUT KESTRA\n\nKestra http://www.kestra.io/ is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.\n\nTrusted by over 10,000 organizations worldwide — including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole — Kestra orchestrates mission-critical workloads at scale. The open-source project https://github.com/kestra-io/kestra has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.\n\nIn 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.\n\n\nABOUT THE ROLE\n\nKestra orchestrates workflows across systems and domains, and AI agents and LLM-driven workflows are a growing part of that. You will own the product side of AI workflows at Kestra: what we build and for whom. The job is to find the AI use cases worth supporting, validate them with customers, and shape them into product.\n\nYou would work directly with the founders, the engineering team, and customer-facing colleagues.\n\n\nWHAT YOU WILL DO\n\n - Define the AI features, from use cases to roadmap planning\n\n - Run customer and prospect interviews to validate which AI workflows are worth building\n\n - Turn validated use cases into specs and reusable blueprints with the engineering team\n\n - Decide what we do not build, and say so clearly\n\n\nWHAT WE ARE LOOKING FOR\n\n - Real experience building AI or developer products, with examples you can talk through in depth\n\n - Strong product judgment: you can tell a serious use case from a flashy one\n\n - Technical fluency. You do not need to write the code, but you need to understand agents, orchestration, and integrations well enough to scope them.\n\n - Direct, low-fluff communication\n\n\nPERKS & BENEFITS\n\n - Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.\n\n - Health coverage: From medical support, dental, and vision, we've got you covered.\n\n - Home office setup on us: We’ll provide all the equipment you need to work comfortably.\n\n\nOUR HIRING PROCESS\n\nWe aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.\n\n - Intro call with the hiring manager (30 min)\n\n - Technical test (homework done in async)\n\n - Team chat with two of your future colleagues (30 min)\n\n - Final discussion with one of our co-founders (30 min)\n\nWe’re here to make the process smooth and transparent for you.\n\n\nBEFORE YOU APPLY\n\nWe have seen too many AI candidates whose entire experience is one demo or one prototype. If that is the depth of your AI background, this is not the right role. We are looking for someone who has released AI product to real users and can speak to the trade-offs.\n\n\n"},{"id":"ab3944cd-1cdd-43ea-a757-a52646bb7a7b","title":"QA Engineer","department":"Products","team":"Products","employmentType":"FullTime","location":"Europe","secondaryLocations":[{"location":"India","address":{"postalAddress":{"postalCode":"","addressRegion":"New Delhi","streetAddress":"","addressCountry":"India","addressLocality":"New Delhi"}}}],"publishedAt":"2026-08-06T11:50:32.519+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"59650","addressRegion":"Nord","streetAddress":"Le Neo 2, 12 Rue Denis Papin Bâtiment A","addressCountry":"France","addressLocality":"Villeneuve-d'Ascq"}},"jobUrl":"https://jobs.ashbyhq.com/kestra/ab3944cd-1cdd-43ea-a757-a52646bb7a7b","applyUrl":"https://jobs.ashbyhq.com/kestra/ab3944cd-1cdd-43ea-a757-a52646bb7a7b/application","descriptionHtml":"Kestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.
Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission critical workloads at scale. The open source project has close to 30,000 GitHub stars, hundreds of contributors, and a rapidly growing global community.
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.
We're looking for a QA Engineer based in India or Europe to ensure the quality and reliability of Kestra's platform across both the open source and Enterprise editions.
A key part of this role involves working directly with customer support tickets: understanding reported issues, reproducing them in local or staging environments, and verifying fixes before they ship. You'll be the bridge between what customers experience and what the engineering team delivers.
This is a fully remote position. We're hiring from India and Europe for timezone alignment with the broader team.
Review and analyze customer support tickets to understand reported issues, extract reproduction steps, and translate problems reported by customers into actionable bug reports for the engineering team.
Reproduce bugs reported by customers across different environments and configurations, ensuring the engineering team has the context they need to fix issues efficiently.
Design, write, and maintain test plans and test cases covering both the open source platform and Enterprise Edition features.
Perform manual and exploratory testing for new features and regression testing for existing functionality across each release cycle.
Collaborate with engineers to define acceptance criteria, identify edge cases, and validate fixes before release.
Contribute to building and improving automated test coverage where applicable.
Track and report on quality metrics, test coverage, and recurring issue patterns to help the team prioritize improvements.
Experience in software QA with a strong foundation in both manual and automated testing methodologies.
Ability to read and interpret customer support tickets, often with incomplete information, and systematically reproduce issues. This is central to the role.
Knowledge of the basics of Linux. You're comfortable navigating the command line, managing files and processes, and working in a Linux environment.
Hands on experience with Claude Code for everyday engineering and testing work.
Familiarity with infrastructure and orchestration concepts: Docker, Kubernetes, CI/CD pipelines, or workflow automation tools. You'll need this context to test effectively.
Comfortable working with APIs, reading logs, and navigating distributed systems to trace issues.
Experience writing automated tests (for instance, in Java, Python, or TypeScript) and working with test frameworks.
Strong written communication in English. You'll collaborate with a globally distributed team and document issues clearly.
Self directed and detail oriented. You can prioritize across incoming support issues and planned test cycles without heavy oversight.
Past experience in a QA role that involved direct interaction with issues reported by customers or support escalations.
Experience with open source software or B2B SaaS platforms.
Familiarity with orchestration or workflow tools (Airflow, n8n, Terraform, Ansible, or similar).
Experience with Playwright and agent-browser for browser based and automated testing.
Experience with performance testing or load testing for distributed systems.
Knowledge of Java (Kestra's core is written in Java).
Real ownership in a globally distributed, technical team.
Direct exposure to product strategy and company priorities.
A product used for mission critical workloads, not demos.
Competitive compensation, equity, and health insurance.
Kestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.
Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.
We're looking for a pragmatic Product Manager to lead Kestra's product in the data orchestration domain: how data teams build, run, and monitor pipelines with Kestra, from ingestion and transformation to data-aware orchestration across the tools they already use. You'll take features from customer problem to delivery with minimal process. This is not a \"project manager\" or \"product owner\" role; we care about releasing real value fast and won't ask you to maintain SCRUM rituals.
Own the full product lifecycle - understand the problems of data engineers, analytics engineers, and data platform teams; define technical specs; prototype (AI tools encouraged); and work closely with developers to deliver high-quality releases.
Shape Kestra's data-aware orchestration - pipelines modeled around the datasets they produce, with lineage, freshness, and data quality treated as part of orchestration.
Deepen integrations with the modern data stack - dbt, Fivetran, Airbyte, Snowflake, BigQuery, Databricks, Kafka, and the wider Kestra plugin ecosystem.
Make migrations easy - clear paths and documentation for teams moving to Kestra from Airflow and similar orchestrators.
Collaborate with the Product Lead and CTO to shape and scope features for each 8-week release cycle.
Make informed tradeoffs, balancing simplicity, technical feasibility, and long-term sustainability.
Coordinate development progress and ensure features are delivered, QA'd, documented, and ready to go.
Improve the product continuously based on customer feedback, usage data, and community input.
Hands-on, startup-minded PM comfortable working without heavy process or structure.
Strong background in the data domain - you've built or managed data pipelines yourself and know tools like dbt, Fivetran or Airbyte, and warehouses such as Snowflake, BigQuery, or Databricks from hands-on use.
Practical experience with workflow orchestration (Airflow, Dagster, Prefect, or Kestra itself) and a clear understanding of scheduling, backfills, retries, and dependencies between datasets.
Excellent communication and clarity in writing - specs, product decisions, and public-facing documentation.
Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.
Experience or familiarity with open-source development - comfortable writing publicly and discussing product changes in GitHub repositories.
Comfortable working with globally distributed teams across time zones.
Past experience as a data engineer or analytics engineer.
Experience moving a team from Airflow (or another orchestrator) to a new platform.
Experience in a B2B software or open-source company.
Exposure to SaaS products, especially self-serve or platform-oriented.
Familiarity with data engineering communities and how they adopt tools.
Real ownership in a globally distributed, technical team.
Direct exposure to product strategy and company priorities.
A product running mission-critical workloads in production at over 10,000 organizations.
Competitive compensation, equity, and health insurance.
Kestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.
Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.
We're looking for a Full Stack Engineer to build the features data teams use to orchestrate their pipelines with Kestra: data-aware orchestration, integrations with tools like dbt, Fivetran, Airbyte, Snowflake, BigQuery, and Databricks, and the UI where pipelines are built, run, and monitored. Hands-on data engineering experience is a must: you'll build for data engineers and analytics engineers, and you need to understand their workflows from your own practice. You'll work across our whole stack, from the Java/Micronaut backend to the Vue 3 + TypeScript frontend, and release features in 8-week cycles with minimal process.
Build features end to end - from the Java Micronaut backend (REST APIs, orchestration engine, plugins) to the Vue 3 frontend, including tests and documentation.
Develop data-aware orchestration - assets, lineage, freshness, and data quality as part of the orchestration model.
Build and improve plugins - integrations with dbt, Fivetran, Airbyte, cloud warehouses, and other tools of the modern data stack.
Work on the UI data teams use daily - the flow editor (Monaco), topology views, dashboards, and execution monitoring.
Collaborate with the Product Manager and other engineers to scope and deliver features for each 8-week release cycle.
Review pull requests, discuss changes publicly on GitHub, and engage with the open-source community.
Hands-on data engineering experience - you've built or operated data pipelines yourself, with tools like dbt, Fivetran or Airbyte, warehouses such as Snowflake, BigQuery, or Databricks, or an orchestrator such as Airflow, Dagster, or Prefect.
Strong experience with Java and a modern backend framework - we use Micronaut, and experience with Spring Boot or Quarkus is a good fit.
Solid frontend skills with Vue 3 and TypeScript - we also use Pinia, Vite, and the Monaco editor. Deep experience with React or another modern framework can work if you're willing to go deep on Vue.
Good knowledge of SQL and relational databases - PostgreSQL, MySQL, and H2 are supported as Kestra backends.
Understanding of distributed systems: queues, schedulers, and workers processing jobs reliably at scale.
Comfortable with Docker and CI/CD pipelines.
Excellent communication and clarity in writing - comfortable discussing technical decisions publicly in GitHub repositories.
Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.
Comfortable working with globally distributed teams across time zones.
Past experience working as a data engineer or analytics engineer, beyond building pipelines as a side task.
Experience with Kafka or Elasticsearch (both are part of the Kestra Enterprise Edition backend).
Experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
Contributions to open-source projects.
Experience in a B2B software or open-source company.
Real ownership in a globally distributed, technical team.
Direct exposure to product strategy and company priorities.
A product running mission-critical workloads in production at over 10,000 organizations.
Competitive compensation, equity, and health insurance.