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As a Backend Engineer on Coder's Enterprise Experience team, you'll build the features that help large organizations run Coder in production with confidence. The team owns what administrators and operators need to run Coder well. That covers how it scales, how it's upgraded, how reliably it performs, how it's observed and reported on, how activity is held accountable, and how it's secured. You'll join a cross-functional team of backend, platform, and QA engineers who own the operator experience end to end. You'll ship features from design through production and partner with product and design to solve real operator problems. WHAT YOU'LL DO HERE • Build features end to end, from a design you write within the team's existing approach through production rollout. • Write database migrations that follow the team's patterns for schema compatibility and safe upgrades. • Build the observability, reporting, and audit features administrators rely on to see what their deployment is doing. • Build features that keep enterprise deployments secure, following the team's security practices. • Help investigate and resolve scalability bottlenecks under production-like load, from database access patterns to concurrency in coderd. • Help resolve backend issues surfaced by Coder operators and administrators. • Document the features you build so a reviewer and the next engineer do not have to decode them. • Participate in code reviews, contribute to RFC-style design discussions, and join the on-call rotation. WHAT WE'RE LOOKING FOR • 2+ years of professional software engineering experience. • Professional experience writing and shipping Go. • Working understanding of Go's concurrency model, including goroutines, channels, and the sync package. • Comfortable with SQL, schema changes, and writing migrations. • Strong verbal and written communication skills, including surfacing blockers and uncertainty early. • Solid debugging skills and the persistence to work a problem, and to escalate early when stuck. • A self-motivated, analytical engineer who enjoys difficult technical challenges. BONUS TACOS IF YOU HAVE • (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) • Experience investigating performance under real-world load, including debugging race conditions. • Experience with observability, audit, or security features in an enterprise product. • Experience with major cloud providers, Kubernetes, and container orchestration. • Experience building or operating distributed systems at a meaningful scale. • Curiosity about the latest developer tooling. OUR TECH STACK • Backend: Go, Postgres, Kubernetes, gRPC • Observability: Prometheus, Grafana • CI/CD: GitHub Actions • General: GitHub, Slack, Discord, Notion ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: • Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. • Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent …

Coder is looking for a Customer Support Engineer to join our dynamic, collaborative team. In this pivotal role, you’ll work hand-in-hand with our Product and Customer Success teams, making a direct and lasting impact on our fast-growing business. As part of a small, agile group, your expertise will be highly visible, helping shape the future of our Customer Support function. We’re looking for someone who thrives in a fast-paced environment built on open communication, continuous learning, and creative problem-solving. You are proactive, detail-oriented, tactful, and endlessly curious about new technologies. With a natural instinct for automation, process improvement, and exceptional customer experiences, you’ll troubleshoot complex issues, deliver timely and effective solutions, and communicate with clarity and empathy. Above all, you’ll be a passionate advocate for our customers by driving satisfaction, fostering success, and elevating the support experience at every touchpoint. What you’ll do here • Reproduce and debug customer issues by building or using existing test environments and tools • Communicate tactfully with customers • Gather information, provide diagnostic and resolution steps, convey process and product guidance and follow up after issues are resolved • Solve incoming technical support requests in a timely manner, including high-severity urgent cases • Identify and communicate product usage trends, bugs and feature requests • Guide and mentor new team members on processes and procedures • Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls • Document and record all activity with customers in accordance to both internal and external security standards • Help build out the scope of the team by contributing to product documentation, customer knowledge base, and best practices guides • Continuously improve process and tools in collaboration with the team • Periodic on-call rotation for production-down issues What we’re looking for • 3+ years of customer support engineering experience (or comparable customer-facing technical role), preferably for mission-critical software • 3+ years supporting enterprise-sized companies • 2+ years diagnosing production network connectivity and performance issues • Excellent problem solving, analytical and troubleshooting experience • Experience communicating clearly and effectively, both verbally and in writing • Experience with Terraform • Experience with major cloud platforms, distributed systems, microservices architecture, and containerization (e.g., Kubernetes) • Experience with scripting tool of choice to help automate reproduction environments (e.g., Bash, Python, Ruby) • Ability to read complex code for troubleshooting • Experience with GitHub • Experience with REST APIs and command line tools • Well-organized, excellent work ethics, attention to detail, and ability to learn new technologies quickly • Experience working in a startup environment Bonus tacos if you have • (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) • DevOps Engineering, Software Engineering, and/or System Administration experience • Software-defined networking experience (e.g., Tailscale) • Experience supporting engineering teams and associated tooling ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: • Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring …

As a Senior Software Engineer on Coder’s Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here • Design and build production systems in Go, with work across React and TypeScript where needed. • Improve agent execution, tool use, context management, streaming, and long-running workflows. • Extend our provider-agnostic architecture as models and capabilities change. • Build reliable integrations between agents, workspaces, tools, and developer infrastructure. • Own projects from implementation through rollout and iteration. • Contribute to design reviews, code reviews, and technical discussions. • Partner with Product and Design to turn agent capabilities into useful developer experiences. • Improve the reliability, performance, and operability of agentic systems. What we’re looking for • Strong experience building and operating production software systems. • Hands-on experience with Go. • Experience with React and TypeScript. • Experience building systems around LLMs or agentic workflows. • Familiarity with model APIs, tool calling, context management, or agent loops. • Good understanding of distributed systems and production reliability. • Working knowledge of AWS. • Strong problem-solving skills and comfort working through technical ambiguity. • Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have • Experience building coding agents, developer tools, or cloud development environments. • Experience with MCP, agent tools, or multi-agent systems. • Experience with remote execution, sandboxing, or isolated compute. • Experience building integrations across multiple model providers. • Experience with AWS, Kubernetes, Docker, or Linux. • Open-source contributions or experience working directly with customers. Our tech stack • Backend: Go, Postgres • Frontend: TypeScript, React • Infrastructure: AWS, Kubernetes • Observability: Prometheus, Grafana • CI/CD: GitHub Actions Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: • Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. • Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like …

As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work. WHAT YOU’LL DO HERE • Set technical direction across Coder’s agent harness, integrations, and workflows. • Design and build production systems in Go, with work across React and TypeScript where needed. • Evolve agent execution, tool use, context management, streaming, and long-running workflows. • Extend our provider-agnostic architecture as models and capabilities change. • Lead complex projects from early ambiguity through production. • Raise the engineering bar through design reviews, code reviews, and technical mentorship. • Partner with Product and Design on clear, useful agent experiences. • Improve the reliability, performance, and operability of agentic systems. WHAT WE’RE LOOKING FOR • Deep experience building and operating production software systems. • Strong hands-on experience with Go. • Experience with React and TypeScript. • Hands-on experience building systems around LLMs and agentic workflows. • Experience with model APIs, tool calling, context management, or agent loops. • Strong distributed systems knowledge. • Working knowledge of AWS. • A track record of setting technical direction without formal authority. • Strong architectural judgment and comfort working through ambiguity. • Someone who makes the engineers around them better. OUR TECH STACK • Backend: Go, Postgres • Frontend: TypeScript, React • Infrastructure: AWS, Kubernetes • Observability: Prometheus, Grafana • CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE • (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) • Experience building coding agents, developer tools, or cloud development environments. • Experience with agent tools, or multi-agent systems. • Experience building abstractions across multiple model providers. • Deep experience with AWS, Kubernetes, Docker and Linux. • Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: • Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. • Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have …

As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. WHAT YOU’LL DO HERE • Lead and grow a team within our Agentic Engineering organization. • Set technical direction across the agent harness, integrations, and workflows. • Stay close to the code and contribute to architecture and implementation decisions. • Evolve agent execution, tool use, context management, streaming, and long-running workflows. • Extend our provider-agnostic architecture as models and capabilities change. • Partner with Product and Design to turn agent capabilities into useful developer experiences. • Improve reliability, performance, and operability across agentic systems. • Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. WHAT WE’RE LOOKING FOR • Experience managing and growing software engineering teams. • Strong hands-on engineering experience with Go. • Experience with React and TypeScript. • Hands-on experience building systems around LLMs and agentic workflows. • Experience with model APIs, tool calling, context management, or agent loops. • Strong distributed systems knowledge. • Working knowledge of AWS. • Strong technical judgment and comfort working through ambiguity. • A track record of helping engineers grow while maintaining a high execution bar. OUR TECH STACK • Backend: Go, Postgres • Frontend: TypeScript, React • Infrastructure: AWS, Kubernetes • Observability: Prometheus, Grafana • CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE • (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) • Experience building coding agents, developer tools, or cloud development environments. • Experience with MCP, agent tools, or multi-agent systems. • Experience with remote execution, sandboxing, or isolated compute. • Experience building abstractions across multiple model providers. • Deep experience with AWS, Kubernetes, Docker, or Linux. • Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: • Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. • Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If …

The Role We are looking for a Senior Partner Deployed Engineer to join the Customer Solutions team, focused on building Coder’s partner ecosystem across EMEA. This is a new function at Coder, modeled on the Forward Deployed Engineer role pioneered by companies like Palantir and now the fastest-growing technical role at frontier AI companies. The difference: instead of embedding with a single customer to deploy a platform, you embed with strategic partners to help them understand, position, and deliver Coder’s platform across their entire customer base. You are part Field CTO, part Industry Strategist, part Technical Specialist, and part Partner Relations Lead. You will be the technical authority within our EMEA partner ecosystem: setting the vision for how Coder fits into each partner’s AI, cloud, and modernization offerings, co-creating the GTM sales plays that partner sellers take to market, building the demonstrations and workshops that generate pipeline, and producing the Partner Relations content that establishes Coder’s technical brand in the ecosystem. This is not a support role. You are equally comfortable holding a strategic roadmap conversation with a partner CTO and debugging a Kubernetes deployment in a partner’s lab in the same afternoon. You are energized by the challenge of building a new category through partnerships, motivated by the multiplied impact of enabling an entire ecosystem rather than a single customer, and capable of operating with full autonomy in a fast-moving startup environment. What You’ll Do • Serve as the strategic technical thought partner to EMEA partner leadership, including practice leads, CTOs, and solutions architects at global systems integrators, regional cloud consultancies, and hyperscaler field teams. Own the technical relationship and set the vision for how Coder fits into each partner’s AI and modernization portfolio. • Co-create sales plays tailored to each partner’s customer base, vertical focus, and services capabilities. Author Working Backwards outcome proposals for strategic partner-customer combinations that translate AI Development Infrastructure into deal-level urgency. • Develop and deliver workshops, Builder Labs, and partner-hosted enablement sessions as the primary awareness and demand generation vehicle for the EMEA ecosystem. Build hands-on demonstration environments and interactive experiences that partners can use independently. • Intervene directly on the highest-value partner-attached deals across EMEA: co-sell calls, technical discovery, PoV scoping, architecture review, and technical win support. Own the engagement until the partner’s team can carry it independently. • Transform bespoke partner enablement sessions into structured LMS modules and certification tiers that scale across the EMEA partner base without requiring live PDE support for each new partner. • Produce “better together” reference architectures for strategic partner combinations across cloud providers and AI platforms. Include deployment diagrams, network topology, IAM patterns, and operational runbooks that partner SAs can hand directly to customers. • Codify each successful partner engagement into a repeatable GTM play: trigger conditions, discovery questions, positioning framework, demo script, PoV scope template, and expected outcomes. Build a playbook library that a new PDE or partner seller can pick up and run. • Build AI-powered self-service tools that automate high-volume PDE activities: Opportunity Brief Generator, PR/FAQ Generator, Workshop-in-a-Box deployment, and demo site builder. • Produce a monthly partner intelligence digest from EMEA engagements: what customers are asking for, how competitors are positioning, where integrations are missing, which vertical use cases are emerging. Distribute to Product, Engineering, and GTM leadership. • Own the EMEA-relevant portions of the joint technical integration roadmap with strategic partners. Define priorities cross-functionally with Product and Engineering based on field signals from the EMEA market. • Create and publish Partner Relations content, the ecosystem equivalent of Developer Relations: technical blog posts, cookbooks, partner ecosystem conference talks, enablement videos, and workshop recaps. Build Coder’s technical brand within the EMEA partner community. • Contribute to cloud marketplace product listing stewardship, competency maintenance documentation, and CSP co-build technical requirements as they apply to EMEA-specific partner and compliance contexts. What We’re Looking For • 7+ years of experience in a combination of Forward Deployed Engineering, Solutions Architecture, Field CTO, Technical Consulting, or Developer Relations roles at an infrastructure, developer tools, or AI company • Demonstrated experience helping partners or customers understand and adopt products in emerging or undefined categories, not just executing playbooks for established ones …

About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We are looking for a Staff Software Engineer to join our engineering team. This is a critical role for an experienced, hands-on technical leader with a broad and deep skillset across multiple languages such as JavaScript and JVM-based (Java/Kotlin) and strong experience building and scaling distributed systems in cloud environments such as AWS or Google Cloud. As a Staff Engineer, you will help drive the technical direction of aspects of our platform, setting high standards for system design, code quality, best practices and architectural clarity. You will collaborate across product and engineering to simplify complexity, improve reliability, and make deliberate trade-offs that empower our teams to move fast without sacrificing maintainability. This is a unique opportunity to join an early-stage company led by serial entrepreneur Andrew Filev (founder of a unicorn startup), and shape a product that is redefining how software is built. Key Responsibilities • Act as a technical thought leader, setting a high bar for engineering quality. • Be hands-on, writing code for new features, prototyping, refactoring existing code to meet best practices, etc. • Lead design discussions and architecture reviews for high-impact projects. • Collaborate with product, design, and research teams to define and evolve user-facing functionality with real developer impact. • Evaluate trade-offs thoughtfully across performance, scalability, complexity, and cost and advocate for clear, maintainable solutions. • Guide and mentor other engineers, helping them grow while raising the overall technical maturity of the team. • Influence engineering culture, driving best practices in testing, observability, security, and cloud design. Essential Qualifications • 10+ years of experience in software engineering covering multiple large-scale, production-grade systems. • Expert in at least one of the following languages: JavaScript, JVM-based (Java/Kotlin). • Experience building and scaling distributed systems with reliability and performance in mind. This should cover both compute and data layers and include best practices on the observability of such systems. • Strong background in cloud architecture and infrastructure design in AWS or Google Cloud environments. • Demonstrated ability to simplify complex systems and reduce unnecessary technical debt while balancing the need to move fast to compete. • Strong communication skills with a track record of aligning stakeholders, leading cross-functional efforts, and influencing without authority. • A deep shift‑left mindset throughout the entire SDLC, with early integration of security, automated testing, and CI/CD pipelines. • Deep familiarity with AI assistants, a solid grasp of the evolving AI landscape, and the ability to translate trends and capabilities into practical product improvements. • Curiosity, pragmatism, and a willingness to challenge assumptions. • Experience or a strong interest in building collaborative, real-time systems is beneficial. Why Join Zencoder? • Shape the Future of Software Creation: We’re not just improving how developers write code — we’re redefining how ideas turn into reality. By closing the gap between concept and execution, we’re creating tools that will influence every industry that relies on software. • Massive Impact, Real Ownership: At Zencoder, you’ll have full visibility into how your work moves the product and the company forward. You’ll ship features that matter, see the immediate impact of your decisions, and get feedback directly from users — fast. • ICs Are the Core: Individual Contributors are the highest-status role at Zencoder. Our culture celebrates those who lead by doing — who create momentum, inspire others, and turn ideas into shipped products. • High-Caliber Team & Founder: Work alongside exceptional AI and software engineers, and learn directly from Andrew Filev, founder of a unicorn startup, who brings deep expertise in scaling world-class technology companies. • Global & Flexible: We hire talent, not coordinates. Work from wherever you’re happiest and most productive — as long as you bring the energy, focus, and results. • Aligned Incentives: Our equity plan ensures that when we succeed, you succeed. Your impact compounds as the company grows. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We're looking for an experienced engineer to raise the bar on how our organization builds, tests, ships, and operates software - for both human engineers and AI coding agents. This is AI harness engineering: the discipline of making the fundamentals (CI/CD, testing, IaC, observability, secure delivery) so solid and well-shaped that agents can work productively inside them. Developer experience and platform engineering are a subset of that work. When the harness is good, humans ship faster and agents stop getting stuck on things that shouldn't be hard. Security is inseparable from this. AI agents are accelerating both the pace and the shape of vulnerabilities, and secure delivery has to be built into the same stream as everything else - not bolted on. Product teams own their services, pipelines, and tests. Your job is to raise the ceiling across the org - defining standards, building leverage, and helping teams level up their workflows, tooling, infrastructure, security posture, and necessary changes to get the most out of coding agents. Key Responsibilities This is a hands-on lead role - you'll be deep in the code, infra, and pipelines yourself. • Shape the platform and infrastructure that everything else runs on - the foundations product teams build on top of; • Improve the full developer loop: local development, remote agents, CI/CD, deployment, observability; • Build shared tooling, templates, and golden paths that create real leverage - paved roads teams actually want to use; • Stay ahead of the shifting security landscape as AI agents reshape both how vulnerabilities emerge and how they're exploited. Essential Qualifications • Strong software engineering background - you will be building both tooling and managing core infrastructure in this role; • Real fluency with AI coding agents - how they work, where they fail, and what makes them effective; • A product mindset toward internal tooling - treating engineers and agents as users, and measuring whether the platform actually makes them faster; • Deep experience with CI/CD, automated testing, IaC, Cloud and developer tooling; • A passion for software security and secure delivery practices (shift-left / SecDevOps etc) in both the classical context and the new AI agent context. Why Join Zencoder? • Impact AI is reshaping how work gets done, and you'll be at the forefront of that shift, building a product that enables teams to get more done with AI. We use our own products every day, so you'll see how your work lands right away. • AI-First We use AI to expand what one person can accomplish. You'll constantly rethink how you work: what to hand over to AI, and where your own judgment matters most. • Ownership We keep the team small and give people real scope, autonomy, and equity. You'll take initiative, make decisions, and see your work through to real outcomes, raising the bar with every iteration. • High Talent Density A small team of highly capable people moves faster and builds better. You'll work directly with senior teammates and our founder, Andrew Filev, in a flat structure where ideas win on merit, not titles. • Remote-First We hire globally, prioritizing talent over location, so you can work where you're most productive. Prefer in-person? We have a hub in Barcelona with weekly co-working. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We’re looking for a passionate Senior Software Engineer to collaborate on building the next-generation AI coding platform. This is a rare opportunity to join an early-stage company founded by Andrew Filev (founder of a unicorn startup) — to help scale it into a thriving, world-changing business. Together, we’re shaping the future of software development — closing the gap between idea and reality, and influencing not only how code is written, but how progress happens across every field that depends on software. Key Responsibilities You’ll take ownership of designing and building key features. Our stack currently consists of TypeScript and Kotlin and you may be expected to work across all of them. This is not a “just code what’s assigned” role — we’re looking for people with a product mindset, who think deeply about users, bring ideas for product growth, and aren’t afraid to propose and launch new things. We value people who make things happen through their own enthusiasm, rather than waiting for managers to tell them what to do. Here, individual contributors hold the highest status — they are the driving force behind the company’s progress. You’ll work alongside top professionals in an environment that celebrates curiosity, creativity, and results. Essential Qualifications • 10+ years of experience building complex, production-grade applications, including deep expertise in backend development in Java / Kotlin / TypeScript. • Strong computer science foundation combined with a deep understanding of modern software architecture and design principles — and a proven record of applying them effectively in real-world, user-facing products. • Product mindset — you think beyond code, care about the “why” behind the feature, and proactively contribute ideas that make the product better for users. • Strong sense of ownership — you take initiative, drive projects from concept to launch, and thrive when given autonomy and accountability for outcomes. • Deep familiarity with AI assistants, a solid grasp of the evolving AI landscape, and the ability to translate trends and capabilities into practical product improvements. • Proven ability to collaborate effectively within a fast-moving, cross-functional team — communicating clearly, sharing context, and supporting others to achieve shared goals. • Passion for continuous learning, experimentation, and innovation — you stay curious, adapt quickly, and always look for ways to push the boundaries of what’s possible. • Comfort working in dynamic, fast-changing environments — ideally with prior experience in start-ups or early-stage teams where clarity must often be created, not awaited. • Experience or a strong interest in building collaborative, real-time systems is beneficial. Why Join Zencoder? • Shape the Future of Software Creation: We’re not just improving how developers write code — we’re redefining how ideas turn into reality. By closing the gap between concept and execution, we’re creating tools that will influence every industry that relies on software. • Massive Impact, Real Ownership: At Zencoder, you’ll have full visibility into how your work moves the product and the company forward. You’ll ship features that matter, see the immediate impact of your decisions, and get feedback directly from users — fast. • ICs Are the Core: Individual Contributors are the highest-status role at Zencoder. Our culture celebrates those who lead by doing — who create momentum, inspire others, and turn ideas into shipped products. • High-Caliber Team & Founder: Work alongside exceptional AI and software engineers, and learn directly from Andrew Filev, founder of a unicorn startup, who brings deep expertise in scaling world-class technology companies. • Global & Flexible: We hire talent, not coordinates. Work from wherever you’re happiest and most productive — as long as you bring the energy, focus, and results. • Aligned Incentives: Our equity plan ensures that when we succeed, you succeed. Your impact compounds as the company grows. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Withings est une entreprise française pionnière de la santé connectée. Depuis 2008, nous concevons des produits et services qui permettent à chacun de mieux comprendre sa santé et aux professionnels de santé de mieux accompagner leurs patients. Balances connectées, montres, tensiomètres, dispositifs médicaux et services digitaux : nos technologies sont aujourd’hui utilisées par des millions de personnes et s’intègrent de plus en plus au parcours de soin. Nous cherchons aujourd’hui un(e) Product Manager Healthcare pour contribuer au développement de nos produits et services de santé, notamment autour du Remote Patient Monitoring (RPM), du suivi des maladies chroniques et de nouveaux parcours de soin digitaux. Vos responsabilités • Comprendre les besoins des patients, médecins et équipes de soin et les transformer en solutions simples et efficaces. • Concevoir de nouvelles fonctionnalités Healthcare, en particulier autour du Remote Patient Monitoring et du suivi des maladies chroniques. • Développer des outils permettant aux professionnels de santé de mieux exploiter les données Withings, de gagner du temps et d'améliorer la qualité du suivi patient. • Imaginer des parcours patients favorisant l'engagement, l'éducation thérapeutique et l'adoption de comportements favorables à leur santé. • Définir la vision produit, les priorités et la roadmap en collaboration avec les équipes Engineering, Design, Medical, Data et Business. • Définir et suivre les KPI permettant de mesurer l'utilisation et l'impact réel des fonctionnalités développées. • Étudier le marché, les usages et les évolutions du secteur de la santé digitale afin d'identifier de nouvelles opportunités. • Transformer rapidement des idées en prototypes afin de les confronter aux utilisateurs avant d'investir dans leur développement. Nous recherchons un profil capable d'aller au-delà de la définition fonctionnelle d'un produit. Les outils d'IA générative transforment profondément la manière de construire des produits. Nous attendons du Product Manager qu'il sache les utiliser pour accélérer son travail : explorer une idée, analyser des données, créer un prototype fonctionnel, automatiser certaines tâches ou tester une expérience utilisateur. L'objectif n'est pas seulement de produire des spécifications mais d'être capable de rendre rapidement une idée tangible, afin de mieux collaborer avec les utilisateurs, les designers et les ingénieurs. Requirements Profil recherché • Formation Bac+5, idéalement école d'ingénieur ou formation scientifique/technique équivalente. • Environ 3 ans d'expérience ou plus, idéalement dans un environnement produit ou technologique exigeant. • Solide culture technique et réelle envie de comprendre comment les produits fonctionnent. • Forte sensibilité produit et design : capacité à simplifier des problématiques complexes et à concevoir des expériences intuitives. • Maîtrise des outils d'IA générative, notamment pour créer rapidement des prototypes, développer des fonctionnalités ou automatiser certaines tâches. • Capacité à prototyper et à manipuler des outils techniques ; savoir coder ou avoir déjà développé des projets personnels est un vrai plus. • Intérêt marqué pour la santé, la médecine, la santé digitale et les nouvelles technologies. • Forte capacité analytique et aptitude à utiliser la donnée pour prendre des décisions produit. • Excellente capacité à collaborer avec des équipes multidisciplinaires : Engineering, Design, Medical, Data et Business. • Autonomie, curiosité et capacité à évoluer dans un environnement rapide où de nombreux sujets restent à inventer. • Excellente maîtrise du français et de l'anglais, à l'écrit comme à l'oral. Benefits Rejoindre l'aventure Withings, c'est : • Intégrer l'un des pionniers et leaders mondiaux de la santé connectée, plusieurs fois primé au Consumer Electronics Show. • Contribuer à des projets innovants et ambitieux visant à construire la santé de demain. • Travailler dans un environnement international avec des équipes basées notamment à Issy-les-Moulineaux, Boston, Hong Kong et Shenzhen. • Participer directement à l'amélioration de nos produits et services, notamment en les testant avant leur lancement. • Approfondir ses connaissances médicales grâce à la Withings Med Academy et aux interventions régulières de professionnels de santé. • Bénéficier de nombreux avantages : Stock Options, smartphone et ordinateur de votre choix, restaurant d'entreprise, avantages culturels et sportifs, et bien plus encore. • Et surtout, rejoindre des équipes passionnées qui cherchent à avoir un impact concret sur la manière dont la santé sera suivie et prise en charge demain.

fifty-five est une data-company d’un genre nouveau qui aide les marques à exploiter les données pour améliorer le marketing, les médias et l'expérience client grâce à une combinaison de services de conseil et de technologie spécialisés. En tant que pilier data et marketing du Brandtech Group, nous offrons des services qui combinent le conseil en stratégie, les services de cloud, le conseil en média et l'expérience client. fifty-five, c’est plus de 320 experts du numérique. Des digital consultants, des spécialistes du tracking et du média, des ingénieurs et des data scientists, travaillent tous en étroite collaboration pour fournir des conseils marketing de haut niveau et une assistance technique aux marques, dans tout type d'industrie, partout dans le monde. Partenaire des annonceurs de la collecte à l'activation et l'exploitation des données, nous aidons les organisations à devenir de véritables entités omnicanales maîtrisant l'efficacité de leur écosystème digital et ses synergies avec le monde physique. Basé à Paris, nous opérons sur 3 fuseaux horaires depuis nos 10 bureaux, situés à Paris, Londres, Genève, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapour et New York. fifty-five attache une importance particulière au bien-être de ses collaborateurs, ce qui lui a permis de figurer dans le classement Best Workplaces France en 2018. Contexte : fifty-five développe et maintient des outils internes et des applications au service de nos équipes et de nos clients. Nous investissons aujourd'hui dans la construction d'applications agentic (agents IA capables d'exécuter des tâches de bout en bout) et dans l'industrialisation de solutions IA, pour passer du prototype à des outils robustes, fiables et utilisés en production. Missions : Vous rejoindrez l'équipe engineering pour participer à la conception et au développement de ces applications agentiques : • Structuration des agents, • Intégration à nos données et systèmes existants, • Mise en place de tests et de garde-fous, • Déploiement dans le Cloud (Google Cloud Platform). Vous utiliserez également des outils d'IA générative comme accélérateurs de développement au quotidien — un usage courant dans l'équipe. Cependant, votre objectif sera d'explorer le potentiel de l'IA générative comme accélérateur sur l'ensemble du cycle de vie du développement logiciel (Software Development Life Cycle - SDLC). Vous aurez pour mission d'expérimenter et d'évaluer comment ces outils (Cursor, Claude Code, Copilot...) peuvent optimiser chaque étape de nos projets : conception et architecture, automatisation des tests, revue de code, documentation et déploiement. Selon les besoins de l'équipe, vous pourrez également être amené à toucher à des sujets data (traitement, structuration de données) et cloud (déploiement d'applications sur Google Cloud Platform). A la fin de votre stage, vous aurez appris à concevoir et industrialiser une application basée sur des agents IA, à l'intégrer proprement dans un environnement de production, à traiter des données de façon native dans le Cloud, et vous aurez une première expérience concrète du déploiement d'applications sur Google Cloud Platform. Compétences et expériences : • Ecole d’ingénieur et d’informatique (2/3° année), diplôme universitaire équivalent (BAC+4/+5) • Compétences en développement (Python et/ou JavaScript/TypeScript) • Utilisation régulière et critique d'un outil d'IA générative pour coder (Copilot, Cursor, Claude Code, ChatGPT...) — au-delà d'un simple usage ponctuel • Familier avec l’utilisation des APIs et les modes d’authentification (REST, JSON, OAuth) • Maîtrise d'un outil de gestion de version (git) • Un projet personnel ou scolaire à présenter (GitHub, portfolio...) est un plus • Français et anglais courant Nous proposons : • 200 salariés à Paris et plus de 320 dans le monde • Un environnement multiculturel avec plus de 20 nationalités différentes • Des valeurs internes centrées sur l'excellence, la bienveillance et le partage ! • Une semaine d’Onboarding commun à tous nos Nifties et des formations continues (et reconnues) sur l'écosystème et les technologies du digital • Des missions responsabilisantes et évolutives pour tirer de cette expérience le maximum de compétences • Une carte ticket restaurant MyEdenred de 10 euros par jour, remboursés à 50% • La prise en charge à 50% de vos titres de transports (Navigo, vélo, etc.) • Une importance particulière accordée à l'équilibre vie privée / vie professionnelle dans le respect du droit à la déconnexion • Une politique de télétravail flexible • Des locaux modernes et stimulants, à l'identité forte, proches de Saint-Lazare (salles de sport, ping-pong, baby-foot,...) • Des afterworks hebdomadaires et des évènements organisés régulièrement par le CSE (sport, yoga, football, oenologie…) • La possibilité de s'investir dans des projets internes tels que Data Hive (un projet "tech for good" à l'initiative de fifty-fivers, dont le but est …

Fullstack Software Engineer (AI-Native) About Us Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. Distribution is a $9 trillion industry, and the software that runs it has been stuck in the past for decades — most tools create more work than they eliminate. We unify CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one platform with one data layer and one AI brain, so reps spend their time deepening customer relationships, not entering data. We hire people with high agency and high urgency. At Proton, everyone is a builder who owns problems end to end and ships AI-native software faster than anyone else in the category. The median Proton customer reports 3x profit return per dollar spent, an extra day of sales per rep per month, and “the best ROI of any tech investment in 30 years.” Hundreds of leading distributors — from family-owned shops to publicly-traded enterprises across, industrial, HVAC, electrical — run on Proton. We’re backed by Felicis Ventures (Twitch, Shopify, Opendoor) and Battery Ventures. If you want to build the systems that shape how trillions of dollars of physical goods move through the economy, Proton is the place to do it. The Role We're hiring a Senior Fullstack Engineer to ship products end-to-end across our CRM platform for distributors. This is a generalist role: any layer of the stack, any type of work — frontend, backend, data, integrations — wherever the user impact is. You'll work closely with PMs, designers, and other engineers to scope, build, and deploy features that distributors feel directly. Periodically, you'll work directly with customers to support onboarding, troubleshoot integrations, and help distributors get the most out of the platform. You'll be the person who can sit with a customer's IT team, understand how their ERP is configured, and translate that into something Proton can work with. Expect occasional travel to customer sites a few times a year. Two things make this role different from a standard fullstack opening: • You're an AI-native operator, not a code writer. Every engineer at Proton uses Claude Code (and other agentic dev tools) as a first-class collaborator. We expect features to be designed, built, reviewed, tested, and shipped with heavy AI leverage. You should already work this way — guiding agents, structuring context, validating output, and making judgment calls AI can't. • You're a generalist by default. We don't silo engineers into "frontend only" or "backend only." When a feature needs a Vue component, a Python handler, a Postgres migration, an Airflow DAG, and an ERP integration, you're expected to handle all of it — with AI doing the typing and you doing the thinking. Location : Remote Compensation : $80k – $100k base salary, depending on experience. Includes equity and full benefits. What You'll Do • Own end-to-end delivery of features — from refining tickets to deployment, monitoring, and iteration. • Operate AI coding agents (Claude Code and similar) at a high level: scope work, structure context, run multiple agents in parallel where it makes sense, and ship reviewed, production-quality output. • Move fluidly across the stack — TypeScript/Vue on the frontend, Python on the backend, SQL and data modeling, infra touchpoints. Pick up whatever the work needs. • Collaborate in a squad model with PMs, designers, and engineers; participate in 2-week sprints, standups, refinements, retros, and code reviews. • Design schemas, queries, and APIs that hold up at scale — performance, reliability, and correctness are on you, not on the agent. • Contribute to engineering practices: better patterns, better tooling, better ways to use AI across the team. • Spend time with customers onsite a few times a year — distributors operate in warehouses and on sales floors, and the best product calls come from being there in person. Requirements • 5+ years as a software engineer with real, demonstrable fullstack delivery — production systems, real users, real ownership. Resume-level hands-on experience, not LLM-generated portfolios. • Strong fundamentals. You understand what the code is doing and why. You can read a stack trace, reason about a query plan, debug a race condition, and tell when an agent is wrong. We are explicitly not hiring "vibe coders" who depend on AI to compensate for missing fundamentals — AI amplifies seniority, it doesn't replace it. • Daily, hands-on use of agentic dev tools. Claude Code, Cursor agent mode, Codex, or equivalent — used to ship real features, not just autocomplete. You can talk concretely about how you structure prompts, manage context, parallelize agents, and verify their output. • Generalist instinct. You're comfortable jumping between Vue, Python, SQL, infra, and integrations. You don't wait for someone else to take the layer you're "not assigned to." • Database and systems chops. You …