E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
You will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.
Your job will be:
Building a distributed system for millions and billions of AI agents running on E2B
Building an orchestrator for placing sandboxes in the right nodes
Adding support for sandbox live migrations
Making sure our self-hosting DX is as smooth as possible (we’re open-source)
Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)
Scaling to millions and later billions of sandboxes running at the same time
Building an observability stack starting at the kernel level of virtual machines
We’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.
If you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!
5+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory
Deep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up
VM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know what a hypercall is, and have opinions about nested virtualization trade-offs
Systems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring
Production orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale
Performance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what \"p99 latency\" means and care deeply about making it better
Networking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems
Located in San Francisco or willing to relocate - We work in person as a team and believe in the magic that happens when engineers collaborate face-to-face on hard problems
Excited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hosting
Experience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading
GPU passthrough or PCIe device virtualization experience
Built or maintained infrastructure for AI/ML workloads
Contributions to Firecracker, Cloud Hypervisor, or similar open source projects
Experience with observability at scale (distributed tracing, kernel-level metrics)
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.\n\nYour job will be:\n\n 1. Building a distributed system for millions and billions of AI agents running on E2B\n\n 2. Building an orchestrator for placing sandboxes in the right nodes\n\n 3. Adding support for sandbox live migrations\n\n 4. Making sure our self-hosting DX is as smooth as possible (we’re open-source)\n\n 5. Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)\n\n 6. Scaling to millions and later billions of sandboxes running at the same time\n\n 7. Building an observability stack starting at the kernel level of virtual machines\n\nWe’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.\n\nIf you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory\n\n - Deep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up\n\n - VM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know what a hypercall is, and have opinions about nested virtualization trade-offs\n\n - Systems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring\n\n - Production orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale\n\n - Performance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what \"p99 latency\" means and care deeply about making it better\n\n - Networking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems\n\n - Located in San Francisco or willing to relocate - We work in person as a team and believe in the magic that happens when engineers collaborate face-to-face on hard problems\n\n - Excited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hosting\n\n\nBONUS POINTS FOR:\n\n - Experience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading\n\n - GPU passthrough or PCIe device virtualization experience\n\n - Built or maintained infrastructure for AI/ML workloads\n\n - Contributions to Firecracker, Cloud Hypervisor, or similar open source projects\n\n - Experience with observability at scale (distributed tracing, kernel-level metrics)\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"efc5fc81-83b7-40f6-8c00-a5a8bf508fe5","title":"Billing Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Prague, Czech Republic","secondaryLocations":[],"publishedAt":"2026-09-21T09:59:19.221+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Prague","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/efc5fc81-83b7-40f6-8c00-a5a8bf508fe5","applyUrl":"https://jobs.ashbyhq.com/e2b/efc5fc81-83b7-40f6-8c00-a5a8bf508fe5/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
Your job is to own billing at E2B — everything that touches how we charge customers, collect revenue, and capture the data behind it. The metering pipeline, the Stripe integration, invoicing, collections, and the billing surfaces developers see in the dashboard.
Your code will be responsible for collecting data metrics, creating and sending invoices and reconciliation of payments for our customers across the globe.
We have a billing system. Your job is to take it over end to end and redesign it. Engineering, finance, and customers all depend on the system and the data it produces, and you'll work across all three. When a customer asks why their invoice looks the way it does, you're the person who can answer. Responsibilities include:
Owning the services behind billing end-to-end — usage metering, charge calculation, invoicing, payments, and the data models underneath them
Owning the Stripe integration end-to-end: subscriptions, Billing Meters, and enterprise invoicing edge cases
Building billing automation: failed-payment recovery, collections, proration and plan changes, credits, refunds, and disputes
Working with engineers across Core, Platform, and Dashboard to get the data billing depends on, and defining the contracts for it
Partnering with finance on reconciliation, revenue reporting, and audit-readiness
Making architectural decisions around observability, testing, and security
Understanding of metric collection, metered usage, Pay-as-you-go, billing cycles - being able to understand finance requirements and translate them into well tested code
Backend engineer with 5+ years billing systems experience, with deep expertise in Go
Strong API design — REST/RPC, contracts and versioning
Solid with PostgreSQL: schema design, query optimization, migrations, and reasoning about data at scale
Backend fundamentals: authentication/authorization, server-side performance, and building real-time data flows (WebSockets, SSE)
Experienced with charging logic, collections, billing automation, and billing-related data flows
Comfortable with complex invoicing, SKUs, usage-/contract-based billing, and third-party payment platforms
Strong cross-functional communication skills, especially with finance
Comfortable owning a system end-to-end with high autonomy
Able to work through ambiguity and figure things out independently
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nYour job is to own billing at E2B — everything that touches how we charge customers, collect revenue, and capture the data behind it. The metering pipeline, the Stripe integration, invoicing, collections, and the billing surfaces developers see in the dashboard.\n\nYour code will be responsible for collecting data metrics, creating and sending invoices and reconciliation of payments for our customers across the globe.\n\nWe have a billing system. Your job is to take it over end to end and redesign it. Engineering, finance, and customers all depend on the system and the data it produces, and you'll work across all three. When a customer asks why their invoice looks the way it does, you're the person who can answer. Responsibilities include:\n\n - Owning the services behind billing end-to-end — usage metering, charge calculation, invoicing, payments, and the data models underneath them\n\n - Owning the Stripe integration end-to-end: subscriptions, Billing Meters, and enterprise invoicing edge cases\n\n - Building billing automation: failed-payment recovery, collections, proration and plan changes, credits, refunds, and disputes\n\n - Working with engineers across Core, Platform, and Dashboard to get the data billing depends on, and defining the contracts for it\n\n - Partnering with finance on reconciliation, revenue reporting, and audit-readiness\n\n - Making architectural decisions around observability, testing, and security\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Understanding of metric collection, metered usage, Pay-as-you-go, billing cycles - being able to understand finance requirements and translate them into well tested code\n\n - Backend engineer with 5+ years billing systems experience, with deep expertise in Go\n\n - Strong API design — REST/RPC, contracts and versioning\n\n - Solid with PostgreSQL: schema design, query optimization, migrations, and reasoning about data at scale\n\n - Backend fundamentals: authentication/authorization, server-side performance, and building real-time data flows (WebSockets, SSE)\n\n - Experienced with charging logic, collections, billing automation, and billing-related data flows\n\n - Comfortable with complex invoicing, SKUs, usage-/contract-based billing, and third-party payment platforms\n\n - Strong cross-functional communication skills, especially with finance\n\n - Comfortable owning a system end-to-end with high autonomy\n\n - Able to work through ambiguity and figure things out independently\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"3d945fd2-5100-41bb-8720-e105563dfaaa","title":"Engineering Team Lead, Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Prague, Czech Republic","secondaryLocations":[],"publishedAt":"2026-07-17T20:26:41.298+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Prague","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/3d945fd2-5100-41bb-8720-e105563dfaaa","applyUrl":"https://jobs.ashbyhq.com/e2b/3d945fd2-5100-41bb-8720-e105563dfaaa/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
You'll run the Platform team that ships reliable work fast, and you'll co-own the entire platform: cloud operations, Terraform automation, BYOC, and on-call. You'll lead both the people and the quality of what they deliver, so that E2B's core infrastructure is fast, secure, and reliable at any scale, customers trust us with their agents' execution, and product teams ship on top of the platform without thinking about it.
Your job will be:
Leading a platform engineering team — 1:1s, performance reviews, career growth, hiring, and day-to-day people management
Owning delivery and quality — making sure work meets the definition of done before it ships, not just gets assigned
Running project management for the team — scoping work, leading projects, and delivering on time
Owning day-to-day job allocation, unblocking, and providing technical context and direction to the team
Owning technical guidance and code-review standards, and translating core architecture into how your team builds
Sitting in the technical leadership group — surfacing signal from projects, operations, and on-call up to leadership
Planning the on-call rota — keeping it staffed, published, and followed, and owning incident follow-up
Staying hands-on as a major contributor to projects yourself
Experience leading or mentoring a team of infrastructure or platform engineers, with the judgment to make calls and own outcomes
5+ years building infrastructure, especially distributed systems, and operating it at scale
5+ years of Linux fundamentals — kernel, networking, storage, namespaces, containers
Hands-on experience with cloud operations, Terraform/IaC, and orchestration technologies like Kubernetes or Nomad
A strong bar for delivery and quality — you ship reliable work fast and hold your team to the same standard
Detail-oriented with great taste in design and engineering
Excited to work in person on a DevTool product and comfortable working closely with users
Proactive, not afraid to take ownership of part of the product
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nYou'll run the Platform team that ships reliable work fast, and you'll co-own the entire platform: cloud operations, Terraform automation, BYOC, and on-call. You'll lead both the people and the quality of what they deliver, so that E2B's core infrastructure is fast, secure, and reliable at any scale, customers trust us with their agents' execution, and product teams ship on top of the platform without thinking about it.\n\nYour job will be:\n\n - Leading a platform engineering team — 1:1s, performance reviews, career growth, hiring, and day-to-day people management\n\n - Owning delivery and quality — making sure work meets the definition of done before it ships, not just gets assigned\n\n - Running project management for the team — scoping work, leading projects, and delivering on time\n\n - Owning day-to-day job allocation, unblocking, and providing technical context and direction to the team\n\n - Owning technical guidance and code-review standards, and translating core architecture into how your team builds\n\n - Sitting in the technical leadership group — surfacing signal from projects, operations, and on-call up to leadership\n\n - Planning the on-call rota — keeping it staffed, published, and followed, and owning incident follow-up\n\n - Staying hands-on as a major contributor to projects yourself\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience leading or mentoring a team of infrastructure or platform engineers, with the judgment to make calls and own outcomes\n\n - 5+ years building infrastructure, especially distributed systems, and operating it at scale\n\n - 5+ years of Linux fundamentals — kernel, networking, storage, namespaces, containers\n\n - Hands-on experience with cloud operations, Terraform/IaC, and orchestration technologies like Kubernetes or Nomad\n\n - A strong bar for delivery and quality — you ship reliable work fast and hold your team to the same standard\n\n - Detail-oriented with great taste in design and engineering\n\n - Excited to work in person on a DevTool product and comfortable working closely with users\n\n - Proactive, not afraid to take ownership of part of the product\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"a19a52aa-5a5b-48ed-9b88-40414f5b29a8","title":"Technical Recruiter","department":"Talent","team":"Talent","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-12T00:17:26.008+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/a19a52aa-5a5b-48ed-9b88-40414f5b29a8","applyUrl":"https://jobs.ashbyhq.com/e2b/a19a52aa-5a5b-48ed-9b88-40414f5b29a8/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
As a Technical Recruiter at E2B, you’ll build the team that will define the future of the company. This is a early role where you’ll help shape our hiring philosophy, recruiting processes, and talent brand as we scale.
You’ll partner directly with the Head of Talent and leadership team to identify hiring needs, source, and close exceptional candidates. You’ll help establish E2B as a destination for top engineers, builders, and operators in the developer and AI ecosystem, while ensuring every hire raises the bar.
From designing interview processes to closing senior candidates, you’ll play a critical role in assembling a world-class team capable of executing E2B’s ambitious vision.
Experience:
At least 5+ years in recruiting or talent acquisition, ideally in high-growth startups or DevTool / AI companies. Experience hiring technical talent (especially engineers) is essential.
Startup mindset:
Comfortable operating in early-stage environments where speed, autonomy, and ownership matter. You enjoy building processes where none exist and iterating quickly.
Technical recruiting expertise:
Proven ability to source and close strong engineering candidates in competitive markets. You understand developer profiles, technical hiring signals, and how to engage top technical talent.
End-to-end ownership:
You can run the full recruiting lifecycle, from sourcing strategy and outreach to interview design, candidate experience, and closing.
Talent strategy:
Ability to partner with founders and leaders to define hiring plans, role scorecards, and structured hiring processes.
Relationship building:
Strong ability to build trust with both candidates and internal stakeholders. You act as a strategic partner to hiring managers.
Operational excellence:
You’re organized, data-driven, and able to build systems that scale as the company grows.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nAs a Technical Recruiter at E2B, you’ll build the team that will define the future of the company. This is a early role where you’ll help shape our hiring philosophy, recruiting processes, and talent brand as we scale.\n\nYou’ll partner directly with the Head of Talent and leadership team to identify hiring needs, source, and close exceptional candidates. You’ll help establish E2B as a destination for top engineers, builders, and operators in the developer and AI ecosystem, while ensuring every hire raises the bar.\n\nFrom designing interview processes to closing senior candidates, you’ll play a critical role in assembling a world-class team capable of executing E2B’s ambitious vision.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\nExperience:\nAt least 5+ years in recruiting or talent acquisition, ideally in high-growth startups or DevTool / AI companies. Experience hiring technical talent (especially engineers) is essential.\n\nStartup mindset:\nComfortable operating in early-stage environments where speed, autonomy, and ownership matter. You enjoy building processes where none exist and iterating quickly.\n\nTechnical recruiting expertise:\nProven ability to source and close strong engineering candidates in competitive markets. You understand developer profiles, technical hiring signals, and how to engage top technical talent.\n\nEnd-to-end ownership:\nYou can run the full recruiting lifecycle, from sourcing strategy and outreach to interview design, candidate experience, and closing.\n\nTalent strategy:\nAbility to partner with founders and leaders to define hiring plans, role scorecards, and structured hiring processes.\n\nRelationship building:\nStrong ability to build trust with both candidates and internal stakeholders. You act as a strategic partner to hiring managers.\n\nOperational excellence:\nYou’re organized, data-driven, and able to build systems that scale as the company grows.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"b7c09065-cbfb-405f-95be-b37c062b5eb6","title":"Business Operations","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-05-01T17:41:40.714+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/b7c09065-cbfb-405f-95be-b37c062b5eb6","applyUrl":"https://jobs.ashbyhq.com/e2b/b7c09065-cbfb-405f-95be-b37c062b5eb6/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
ABOUT E2B
E2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents.
ABOUT THE ROLE
This is the first business operations leadership hire at E2B. The company has scaled from $1M to 8-figure ARR in under a year, raised a Series A, and is now preparing for the next stage of growth.
You'll own everything that isn't engineering, GTM, or design. Legal admin and contracts. People ops and onboarding. Office logistics across San Francisco and Prague. Vendor management. The internal tools that make the company run.
This is a hands-on role for the first 6 to 12 months. You will personally run payroll, negotiate the office lease renewal, and fix the broken Notion. As the company grows, this becomes a COO-track role with a real team underneath you.
You'll partner directly with Vasek (CEO) and Tomas (Head of Engineering).
WHAT YOU'LL DO
- Build the operating cadence. Weekly leadership rituals, monthly board prep, quarterly planning. Today these happen ad-hoc. You make them repeatable.
- Run people ops end-to-end. Offers, onboarding, payroll across US and EU entities, benefits administration, equity grants, performance review process, offboarding. Partner with Talent on recruiting ops where the recruiting machine spills into HR (offers, references, background checks, work authorization).
- Own legal admin. Customer contracts, vendor agreements, NDAs, contractor MSAs for our EU hires. You won't be drafting from scratch, but you'll be the person turning around redlines, managing outside counsel, and keeping the contract tracker honest.
- Run office and team logistics. Two offices, two countries, two payroll regimes, occasional team offsites, equipment provisioning, real estate decisions. The boring infrastructure that lets engineers ship.
- Own vendor and tool sprawl. Every SaaS bill, every renewal, every \"do we still use this?\" question. Procurement, security review, cost optimization.
- Set up the bench. As scope grows past one person, you'll hire your replacements: an HR/people lead, a finance hire, eventually a head of legal. You'll define those roles and run those searches.
WHAT WE'RE LOOKING FOR
- 6+ years in operations, with at least 2-3 years operating at a Series A or Series B startup that scaled headcount through 30 to 100. You've watched a company double in size and you know what breaks.
- Generalist DNA. You're comfortable owning finance one week, legal the next, and rewriting the offer letter template on a Friday night. You don't need a defined function to be effective.
- Strong with numbers. Comfortable in spreadsheets, can read a P&L, can model headcount and burn. You don't need a CPA, but you should not need to hand the model off to be useful.
- Real ownership track record. You've personally built or rebuilt at least two of: a payroll process, an offers / equity process, a contracts pipeline, a close cycle, a board reporting cadence, a vendor management process. Not \"managed a team that did\", but actually built.
- Operates at the speed of engineering. We ship fast. Operations needs to keep up.
- Excited to work in person from San Francisco. You'll be sitting next to our CEO and the leadership team.
NICE-TO-HAVE
- Prior chief-of-staff role at a venture-backed B2B startup.
- Experience operating across US and EU entities, including the realities of EU contractor models, GDPR, and entity setup.
- Experience scaling people ops and recruiting ops together. We're hiring fast and the two functions touch constantly.
- Background in B2B SaaS finance, especially with usage-based revenue.
- Ex-consulting (Bain / McKinsey / BCG) is fine if you've spent the years since actually operating, not just running reports.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\nABOUT E2B\n\n\n\nE2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents.\n\n\n\n\nABOUT THE ROLE\n\n\n\nThis is the first business operations leadership hire at E2B. The company has scaled from $1M to 8-figure ARR in under a year, raised a Series A, and is now preparing for the next stage of growth.\n\n\n\nYou'll own everything that isn't engineering, GTM, or design. Legal admin and contracts. People ops and onboarding. Office logistics across San Francisco and Prague. Vendor management. The internal tools that make the company run.\n\n\n\nThis is a hands-on role for the first 6 to 12 months. You will personally run payroll, negotiate the office lease renewal, and fix the broken Notion. As the company grows, this becomes a COO-track role with a real team underneath you.\n\n\n\nYou'll partner directly with Vasek (CEO) and Tomas (Head of Engineering).\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Build the operating cadence. Weekly leadership rituals, monthly board prep, quarterly planning. Today these happen ad-hoc. You make them repeatable.\n\n - Run people ops end-to-end. Offers, onboarding, payroll across US and EU entities, benefits administration, equity grants, performance review process, offboarding. Partner with Talent on recruiting ops where the recruiting machine spills into HR (offers, references, background checks, work authorization).\n\n - Own legal admin. Customer contracts, vendor agreements, NDAs, contractor MSAs for our EU hires. You won't be drafting from scratch, but you'll be the person turning around redlines, managing outside counsel, and keeping the contract tracker honest.\n\n - Run office and team logistics. Two offices, two countries, two payroll regimes, occasional team offsites, equipment provisioning, real estate decisions. The boring infrastructure that lets engineers ship.\n\n - Own vendor and tool sprawl. Every SaaS bill, every renewal, every \"do we still use this?\" question. Procurement, security review, cost optimization.\n\n - Set up the bench. As scope grows past one person, you'll hire your replacements: an HR/people lead, a finance hire, eventually a head of legal. You'll define those roles and run those searches.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\n - 6+ years in operations, with at least 2-3 years operating at a Series A or Series B startup that scaled headcount through 30 to 100. You've watched a company double in size and you know what breaks.\n\n - Generalist DNA. You're comfortable owning finance one week, legal the next, and rewriting the offer letter template on a Friday night. You don't need a defined function to be effective.\n\n - Strong with numbers. Comfortable in spreadsheets, can read a P&L, can model headcount and burn. You don't need a CPA, but you should not need to hand the model off to be useful.\n\n - Real ownership track record. You've personally built or rebuilt at least two of: a payroll process, an offers / equity process, a contracts pipeline, a close cycle, a board reporting cadence, a vendor management process. Not \"managed a team that did\", but actually built.\n\n - Operates at the speed of engineering. We ship fast. Operations needs to keep up.\n\n - Excited to work in person from San Francisco. You'll be sitting next to our CEO and the leadership team.\n\n\n\n\nNICE-TO-HAVE\n\n\n\n - Prior chief-of-staff role at a venture-backed B2B startup.\n\n - Experience operating across US and EU entities, including the realities of EU contractor models, GDPR, and entity setup.\n\n - Experience scaling people ops and recruiting ops together. We're hiring fast and the two functions touch constantly.\n\n - Background in B2B SaaS finance, especially with usage-based revenue.\n\n - Ex-consulting (Bain / McKinsey / BCG) is fine if you've spent the years since actually operating, not just running reports.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"f59dfa81-5b38-44da-90f5-0319eb31b627","title":"Platform Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Prague, Czech Republic","secondaryLocations":[],"publishedAt":"2026-06-26T19:34:08.009+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Prague","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/f59dfa81-5b38-44da-90f5-0319eb31b627","applyUrl":"https://jobs.ashbyhq.com/e2b/f59dfa81-5b38-44da-90f5-0319eb31b627/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
You will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.
Your job will be:
Building a distributed system for millions and billions of AI agents running on E2B
Building an orchestrator for placing sandboxes in the right nodes
Adding support for sandbox live migrations
Making sure our self-hosting DX is as smooth as possible (we’re open-source)
Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)
Scaling to millions and later billions of sandboxes running at the same time
Building an observability stack starting at the kernel level of virtual machines
We’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.
If you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!
5+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory
Deep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up
VM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know what a hypercall is, and have opinions about nested virtualization trade-offs
Systems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring
Production orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale
Performance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what \"p99 latency\" means and care deeply about making it better
Networking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems
Excited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hosting
Experience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading
GPU passthrough or PCIe device virtualization experience
Built or maintained infrastructure for AI/ML workloads
Contributions to Firecracker, Cloud Hypervisor, or similar open source projects
Experience with observability at scale (distributed tracing, kernel-level metrics)
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.\n\nYour job will be:\n\n 1. Building a distributed system for millions and billions of AI agents running on E2B\n\n 2. Building an orchestrator for placing sandboxes in the right nodes\n\n 3. Adding support for sandbox live migrations\n\n 4. Making sure our self-hosting DX is as smooth as possible (we’re open-source)\n\n 5. Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)\n\n 6. Scaling to millions and later billions of sandboxes running at the same time\n\n 7. Building an observability stack starting at the kernel level of virtual machines\n\nWe’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.\n\nIf you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory\n\n - Deep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up\n\n - VM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know what a hypercall is, and have opinions about nested virtualization trade-offs\n\n - Systems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring\n\n - Production orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale\n\n - Performance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what \"p99 latency\" means and care deeply about making it better\n\n - Networking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems\n\n - Excited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hosting\n\n\nBONUS POINTS FOR:\n\n - Experience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading\n\n - GPU passthrough or PCIe device virtualization experience\n\n - Built or maintained infrastructure for AI/ML workloads\n\n - Contributions to Firecracker, Cloud Hypervisor, or similar open source projects\n\n - Experience with observability at scale (distributed tracing, kernel-level metrics)\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"dea22a97-293e-41af-9fdb-c7e6e2c73b37","title":"Product Engineer - Backend Developer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Prague, Czech Republic","secondaryLocations":[],"publishedAt":"2026-07-17T16:22:21.620+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Prague","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/dea22a97-293e-41af-9fdb-c7e6e2c73b37","applyUrl":"https://jobs.ashbyhq.com/e2b/dea22a97-293e-41af-9fdb-c7e6e2c73b37/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
Your job will be to own and scale the backend that powers the E2B Dashboard and SDK — the APIs, data, and services developers rely on to run, monitor, and debug their sandboxes. You're the backend counterpart to our dashboard engineers: they own the experience, you own the services and data behind it, and together you ship product end-to-end.
This is product/application backend - APIs, data layer, auth, billing, usage metrics, real-time log/metric pipelines. It is not our low-level infrastructure (Firecracker, orchestration, the sandbox runtime) - that lives with our Core and Platform teams, who you'll integrate with but not duplicate.
The split is roughly 80% Go backend, 20% TypeScript — you live in Go, but you're comfortable dropping into the Next.js app to wire things up end-to-end and unblock the frontend rather than throwing work over a wall.
You'll build enterprise-grade services that scale to 100k+ weekly active users. Responsibilities include:
Owning the Go services behind the dashboard and SDK — APIs, data models, and the contracts the frontend builds on
Designing auth/authorization, billing, and usage-metering surfaces
Building the real-time backends (WebSockets, SSE) that feed sandbox logs and metrics to the dashboard
Optimizing data access and server-side performance — query design, caching, response times
Partnering closely with dashboard engineers to ship features end-to-end, and with Core/Platform on the boundaries where product meets infrastructure
Making architectural decisions around observability, testing, and security best practices
This role requires a high amount of ownership and the ability to take projects from 0 to 1. You'll have deep autonomy to make backend and product decisions. If you see a better way to build something, you build it.
3-5+ years shipping production backend services, with deep expertise in Go
Strong API design — REST/RPC, contracts, versioning, and an eye for the interface the frontend actually needs
Solid with PostgreSQL: schema design, query optimization, migrations, and reasoning about data at scale
Backend fundamentals: authentication/authorization, server-side performance, and building real-time data flows (WebSockets, SSE)
Working TypeScript(Next.js is a plus) competence — you won't live here, but you can move into the app-router frontend to wire up a feature end-to-end and not be lost
Understand data fetching patterns on frontend side
Excited to work in person from Prague on a devtool product
Ownership mentality: you see projects through from conception to launch to iteration
Comfortable talking to customers and explaining technical tradeoffs
Not being afraid to take ownership of your part of the product
Great communication, curiosity, and interest in the AI space
If you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be taking projects from 0 to 1 with the support of the rest of the team.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nYour job will be to own and scale the backend that powers the E2B Dashboard https://github.com/e2b-dev/dashboard and SDK — the APIs, data, and services developers rely on to run, monitor, and debug their sandboxes. You're the backend counterpart to our dashboard engineers: they own the experience, you own the services and data behind it, and together you ship product end-to-end.\n\nThis is product/application backend - APIs, data layer, auth, billing, usage metrics, real-time log/metric pipelines. It is not our low-level infrastructure (Firecracker, orchestration, the sandbox runtime) - that lives with our Core and Platform teams, who you'll integrate with but not duplicate.\n\nThe split is roughly 80% Go backend, 20% TypeScript — you live in Go, but you're comfortable dropping into the Next.js app to wire things up end-to-end and unblock the frontend rather than throwing work over a wall.\n\nYou'll build enterprise-grade services that scale to 100k+ weekly active users. Responsibilities include:\n\n - Owning the Go services behind the dashboard and SDK — APIs, data models, and the contracts the frontend builds on\n\n - Designing auth/authorization, billing, and usage-metering surfaces\n\n - Building the real-time backends (WebSockets, SSE) that feed sandbox logs and metrics to the dashboard\n\n - Optimizing data access and server-side performance — query design, caching, response times\n\n - Partnering closely with dashboard engineers to ship features end-to-end, and with Core/Platform on the boundaries where product meets infrastructure\n\n - Making architectural decisions around observability, testing, and security best practices\n\nThis role requires a high amount of ownership and the ability to take projects from 0 to 1. You'll have deep autonomy to make backend and product decisions. If you see a better way to build something, you build it.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3-5+ years shipping production backend services, with deep expertise in Go\n\n - Strong API design — REST/RPC, contracts, versioning, and an eye for the interface the frontend actually needs\n\n - Solid with PostgreSQL: schema design, query optimization, migrations, and reasoning about data at scale\n\n - Backend fundamentals: authentication/authorization, server-side performance, and building real-time data flows (WebSockets, SSE)\n\n - Working TypeScript(Next.js is a plus) competence — you won't live here, but you can move into the app-router frontend to wire up a feature end-to-end and not be lost\n\n - Understand data fetching patterns on frontend side\n\n - Excited to work in person from Prague on a devtool product\n\n - Ownership mentality: you see projects through from conception to launch to iteration\n\n - Comfortable talking to customers and explaining technical tradeoffs\n\n - Not being afraid to take ownership of your part of the product\n\n - Great communication, curiosity, and interest in the AI space\n\nIf you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be taking projects from 0 to 1 with the support of the rest of the team.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"49a87668-9f2a-40dc-bfc3-b262aca62b39","title":"Product Engineer - Backend Developer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-17T16:18:38.030+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/49a87668-9f2a-40dc-bfc3-b262aca62b39","applyUrl":"https://jobs.ashbyhq.com/e2b/49a87668-9f2a-40dc-bfc3-b262aca62b39/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
Your job will be to own and scale the backend that powers the E2B Dashboard and SDK -the APIs, data, and services developers rely on to run, monitor, and debug their sandboxes. You're the backend counterpart to our dashboard engineers: they own the experience, you own the services and data behind it, and together you ship product end-to-end.
This is product/application backend - APIs, data layer, auth, billing, usage metrics, real-time log/metric pipelines. It is not our low-level infrastructure (Firecracker, orchestration, the sandbox runtime) - that lives with our Core and Platform teams, who you'll integrate with but not duplicate.
The split is roughly 80% Go backend, 20% TypeScript. You live in Go, but you're comfortable dropping into the Next.js app to wire things up end-to-end and unblock the frontend rather than throwing work over a wall.
You'll build enterprise-grade services that scale to 100k+ weekly active users. Responsibilities include:
Owning the Go services behind the dashboard and SDK. APIs, data models, and the contracts the frontend builds on
Designing auth/authorization, billing, and usage-metering surfaces
Building the real-time backends (WebSockets, SSE) that feed sandbox logs and metrics to the dashboard
Optimizing data access and server-side performance like query design, caching, response times
Partnering closely with dashboard engineers to ship features end-to-end, and with Core/Platform on the boundaries where product meets infrastructure
Making architectural decisions around observability, testing, and security best practices
This role requires a high amount of ownership and the ability to take projects from 0 to 1. You'll have deep autonomy to make backend and product decisions. If you see a better way to build something, you build it.
3-5+ years shipping production backend services, with deep expertise in Go
Strong API design with REST/RPC, contracts, versioning, and an eye for the interface the frontend needs
Solid with PostgreSQL: schema design, query optimization, migrations, and reasoning about data at scale
Backend fundamentals: authentication/authorization, server-side performance, and building real-time data flows (WebSockets, SSE)
Working TypeScript(Next.js is a plus) competence. You won't live here, but you can move into the app-router frontend to wire up a feature end-to-end and not be lost
Understand data fetching patterns on frontend side
Excited to work in person from San Francisco on a devtool product
Ownership mentality: you see projects through from conception to launch to iteration
Comfortable talking to customers and explaining technical tradeoffs
Not being afraid to take ownership of your part of the product
Great communication, curiosity, and interest in the AI space
If you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be taking projects from 0 to 1 with the support of the rest of the team.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nYour job will be to own and scale the backend that powers the E2B Dashboard https://github.com/e2b-dev/dashboard and SDK -the APIs, data, and services developers rely on to run, monitor, and debug their sandboxes. You're the backend counterpart to our dashboard engineers: they own the experience, you own the services and data behind it, and together you ship product end-to-end.\n\nThis is product/application backend - APIs, data layer, auth, billing, usage metrics, real-time log/metric pipelines. It is not our low-level infrastructure (Firecracker, orchestration, the sandbox runtime) - that lives with our Core and Platform teams, who you'll integrate with but not duplicate.\n\nThe split is roughly 80% Go backend, 20% TypeScript. You live in Go, but you're comfortable dropping into the Next.js app to wire things up end-to-end and unblock the frontend rather than throwing work over a wall.\n\nYou'll build enterprise-grade services that scale to 100k+ weekly active users. Responsibilities include:\n\n - Owning the Go services behind the dashboard and SDK. APIs, data models, and the contracts the frontend builds on\n\n - Designing auth/authorization, billing, and usage-metering surfaces\n\n - Building the real-time backends (WebSockets, SSE) that feed sandbox logs and metrics to the dashboard\n\n - Optimizing data access and server-side performance like query design, caching, response times\n\n - Partnering closely with dashboard engineers to ship features end-to-end, and with Core/Platform on the boundaries where product meets infrastructure\n\n - Making architectural decisions around observability, testing, and security best practices\n\nThis role requires a high amount of ownership and the ability to take projects from 0 to 1. You'll have deep autonomy to make backend and product decisions. If you see a better way to build something, you build it.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3-5+ years shipping production backend services, with deep expertise in Go\n\n - Strong API design with REST/RPC, contracts, versioning, and an eye for the interface the frontend needs\n\n - Solid with PostgreSQL: schema design, query optimization, migrations, and reasoning about data at scale\n\n - Backend fundamentals: authentication/authorization, server-side performance, and building real-time data flows (WebSockets, SSE)\n\n - Working TypeScript(Next.js is a plus) competence. You won't live here, but you can move into the app-router frontend to wire up a feature end-to-end and not be lost\n\n - Understand data fetching patterns on frontend side\n\n - Excited to work in person from San Francisco on a devtool product\n\n - Ownership mentality: you see projects through from conception to launch to iteration\n\n - Comfortable talking to customers and explaining technical tradeoffs\n\n - Not being afraid to take ownership of your part of the product\n\n - Great communication, curiosity, and interest in the AI space\n\nIf you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be taking projects from 0 to 1 with the support of the rest of the team.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"648efda2-d209-41eb-83fc-e6d1370fba71","title":"Founding Community & Ecosystem Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-31T17:09:51.584+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/648efda2-d209-41eb-83fc-e6d1370fba71","applyUrl":"https://jobs.ashbyhq.com/e2b/648efda2-d209-41eb-83fc-e6d1370fba71/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
Why this role, why now
E2B is the sandbox runtime behind Manus, Genspark, Lindy, Groq, Hugging Face, and a long list of AI labs and enterprise agent teams. We're a Series A company with over $37M raised, 8-figure revenue, and more than a billion sandboxes started. Almost all of that came from word of mouth. We have no content program, no real online presence, and a community that grew on its own while we built the product.
That's the opportunity. The developers using E2B already talk about it; nobody at the company has ever been responsible for making that visible and repeatable. You'll be the first. Founders aren't the public face of this company, so the people who own community and developer relations here own the voice, not a slice of it.
You'll join before our next funding round, with equity priced accordingly.
What you'll own
The event portfolio, from day one. Workshops, hackathons, technical dinners, meetups, conference presence. The events are currently run by the executive team so you will take it over in your first month and decide what stays, what goes, and what's new.
The ecosystem. Integrations and co-launches with agent frameworks, model providers, and infrastructure partners where E2B's users already are. Every integration is a launch with someone else's audience.
The community. Discord, GitHub, forums, and a creator/ambassador program that pays the users already writing and building about E2B to keep doing it publicly.
A budget. You propose it, you own it. We'll fund what works, and we're not shy about spending.
The function. You're the first person in it and we expect you to grow it as E2B grows.
What's already in place
Growth engineering builds the instrumentation and attribution, so you'll be able to see how your programs do. A customer base that includes the companies most developers in this space want to learn from.
First 90 days
Take over events and cut or reshape anything that isn't earning its place. Ship two or three framework or model-provider integrations with joint announcements. Stand up the ambassador program with the first ten people. Give us a point of view on where E2B's community actually lives and what it wants from us.
How we'll judge year one
Reach and ecosystem first: integrations shipped and launched with partners, share of voice in the agent-infrastructure community, growth in community-sourced signups. Pipeline second: we'll wire community and event activity to accounts, but we're hiring you to make E2B known, not to run field marketing for sales.
Who you are
You've built or grown a technical community and can point to it.
You've run events with real budgets and know which ones were worth it and why.
You're credible with developers building AI agents. You don't need to be an engineer, but you understand what a sandbox is for and can talk to people who build with one without a script.
You know the AI-agent ecosystem: the frameworks, the model providers, the people. Existing relationships are a strong plus.
You've been the number two on a community or DevRel team and want to be the one deciding.
You write and speak well in public, because you'll be doing both.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\nWhy this role, why now\n\nE2B is the sandbox runtime behind Manus, Genspark, Lindy, Groq, Hugging Face, and a long list of AI labs and enterprise agent teams. We're a Series A company with over $37M raised, 8-figure revenue, and more than a billion sandboxes started. Almost all of that came from word of mouth. We have no content program, no real online presence, and a community that grew on its own while we built the product.\n\nThat's the opportunity. The developers using E2B already talk about it; nobody at the company has ever been responsible for making that visible and repeatable. You'll be the first. Founders aren't the public face of this company, so the people who own community and developer relations here own the voice, not a slice of it.\n\nYou'll join before our next funding round, with equity priced accordingly.\n\n\n\nWhat you'll own\n\n - The event portfolio, from day one. Workshops, hackathons, technical dinners, meetups, conference presence. The events are currently run by the executive team so you will take it over in your first month and decide what stays, what goes, and what's new.\n\n - The ecosystem. Integrations and co-launches with agent frameworks, model providers, and infrastructure partners where E2B's users already are. Every integration is a launch with someone else's audience.\n\n - The community. Discord, GitHub, forums, and a creator/ambassador program that pays the users already writing and building about E2B to keep doing it publicly.\n\n - A budget. You propose it, you own it. We'll fund what works, and we're not shy about spending.\n\n - The function. You're the first person in it and we expect you to grow it as E2B grows.\n\n\n\nWhat's already in place\n\nGrowth engineering builds the instrumentation and attribution, so you'll be able to see how your programs do. A customer base that includes the companies most developers in this space want to learn from.\n\n\n\nFirst 90 days\n\nTake over events and cut or reshape anything that isn't earning its place. Ship two or three framework or model-provider integrations with joint announcements. Stand up the ambassador program with the first ten people. Give us a point of view on where E2B's community actually lives and what it wants from us.\n\n\n\nHow we'll judge year one\n\nReach and ecosystem first: integrations shipped and launched with partners, share of voice in the agent-infrastructure community, growth in community-sourced signups. Pipeline second: we'll wire community and event activity to accounts, but we're hiring you to make E2B known, not to run field marketing for sales.\n\n\n\nWho you are\n\n - You've built or grown a technical community and can point to it.\n\n - You've run events with real budgets and know which ones were worth it and why.\n\n - You're credible with developers building AI agents. You don't need to be an engineer, but you understand what a sandbox is for and can talk to people who build with one without a script.\n\n - You know the AI-agent ecosystem: the frameworks, the model providers, the people. Existing relationships are a strong plus.\n\n - You've been the number two on a community or DevRel team and want to be the one deciding.\n\n - You write and speak well in public, because you'll be doing both.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"2b11e895-3cd7-4666-ae53-64f509cc96a8","title":"Technical Copywriter ","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-31T17:15:38.583+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/2b11e895-3cd7-4666-ae53-64f509cc96a8","applyUrl":"https://jobs.ashbyhq.com/e2b/2b11e895-3cd7-4666-ae53-64f509cc96a8/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
E2B is looking for a Technical Copywriter to turn complex product and engineering ideas into clear, accurate content for developers building AI agents.
This is a hands-on execution role to work from hypotheses, priorities, and briefs set by our marketing leadership, then own the path from draft to publication. Your focus will be producing high-quality technical content at a consistent cadence.
You’ll write comparison, migration, and integration pages; create docs-adjacent explainers from conversations with engineers and the codebase; produce customer case studies; and edit work from specialist freelancers. Every piece should be technically credible, easy to understand, and structured so we can measure its impact.
This role is a strong fit for someone who writes quickly without sacrificing accuracy, takes feedback without friction, and is genuinely comfortable writing to be tested and iterated.
Turn priorities into published content. Work from an established backlog of hypotheses and briefs, moving high-priority ideas from draft through technical review to publication on a committed cadence.
Write comparison, migration, and integration pages. Own the most repeatable, high-volume content across the answer layer, helping developers understand where E2B fits and how to adopt it.
Create technically credible explainers. Interview engineers, read documentation and code, and translate complex concepts into clear content without relying on secondhand summaries.
Produce customer case studies. Partner with account owners and customers to run interviews, draft narratives, manage approvals, and publish useful stories.
Edit specialist freelance work. Manage quality across outside contributors, ensuring every piece meets the same standards for accuracy, structure, tone, and usefulness.
Work inside an experiment loop. Ship content against a defined hypothesis, target metric, and review date. Maintain consistent structure and instrumentation so results can be evaluated cleanly.
Build a reliable review process. Partner with Engineering and Marketing to make technical review predictable, incorporate feedback quickly, and minimize correctness rewrites.
Measure execution quality. Track publishing cadence, technical accuracy, turnaround from identified content gap to live page, and throughput across internal and freelance work.
2–5 years of experience writing technical content for developers, infrastructure products, developer tools, APIs, or a similarly technical audience.
A portfolio that demonstrates clear, accurate writing about complex technical products. Experience with comparison pages, migration guides, integrations, documentation, or technical case studies is especially relevant.
Enough technical fluency to read code, interview engineers, understand APIs and developer workflows, and catch errors in your own work.
Strong editorial judgment. You can turn an imperfect brief or technical conversation into a clean, useful piece without inventing claims or losing important nuance.
Speed and consistency. You can manage multiple pieces at different stages and publish against a committed cadence.
Comfort with feedback and measurement. You take edits without friction, write within an established strategy, and are willing to let performance data determine what gets repeated, revised, or retired.
Excellent written communication and attention to detail.
Able to work from our San Francisco office or remotely, with strong overlap with the team.
Experience writing about AI agents, model infrastructure, sandboxes, cloud infrastructure, open-source software, or usage-based SaaS.
Hands-on experience with developer documentation, APIs, SDKs, command-line tools, or code samples.
Experience managing freelance writers or editing technical work from subject-matter experts.
Experience working with SEO, answer-engine optimization, content experimentation, or conversion-focused technical pages.
Familiarity with the AI-agent ecosystem, including agent frameworks, model providers, sandboxes, and developer infrastructure.
Experience producing customer stories from technical interviews and managing external approval cycles.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nE2B is looking for a Technical Copywriter to turn complex product and engineering ideas into clear, accurate content for developers building AI agents.\n\nThis is a hands-on execution role to work from hypotheses, priorities, and briefs set by our marketing leadership, then own the path from draft to publication. Your focus will be producing high-quality technical content at a consistent cadence.\n\nYou’ll write comparison, migration, and integration pages; create docs-adjacent explainers from conversations with engineers and the codebase; produce customer case studies; and edit work from specialist freelancers. Every piece should be technically credible, easy to understand, and structured so we can measure its impact.\n\nThis role is a strong fit for someone who writes quickly without sacrificing accuracy, takes feedback without friction, and is genuinely comfortable writing to be tested and iterated.\n\n\n\n\nWHAT YOU’LL DO\n\nTurn priorities into published content. Work from an established backlog of hypotheses and briefs, moving high-priority ideas from draft through technical review to publication on a committed cadence.\n\nWrite comparison, migration, and integration pages. Own the most repeatable, high-volume content across the answer layer, helping developers understand where E2B fits and how to adopt it.\n\nCreate technically credible explainers. Interview engineers, read documentation and code, and translate complex concepts into clear content without relying on secondhand summaries.\n\nProduce customer case studies. Partner with account owners and customers to run interviews, draft narratives, manage approvals, and publish useful stories.\n\nEdit specialist freelance work. Manage quality across outside contributors, ensuring every piece meets the same standards for accuracy, structure, tone, and usefulness.\n\nWork inside an experiment loop. Ship content against a defined hypothesis, target metric, and review date. Maintain consistent structure and instrumentation so results can be evaluated cleanly.\n\nBuild a reliable review process. Partner with Engineering and Marketing to make technical review predictable, incorporate feedback quickly, and minimize correctness rewrites.\n\nMeasure execution quality. Track publishing cadence, technical accuracy, turnaround from identified content gap to live page, and throughput across internal and freelance work.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n2–5 years of experience writing technical content for developers, infrastructure products, developer tools, APIs, or a similarly technical audience.\n\nA portfolio that demonstrates clear, accurate writing about complex technical products. Experience with comparison pages, migration guides, integrations, documentation, or technical case studies is especially relevant.\n\nEnough technical fluency to read code, interview engineers, understand APIs and developer workflows, and catch errors in your own work.\n\nStrong editorial judgment. You can turn an imperfect brief or technical conversation into a clean, useful piece without inventing claims or losing important nuance.\n\nSpeed and consistency. You can manage multiple pieces at different stages and publish against a committed cadence.\n\nComfort with feedback and measurement. You take edits without friction, write within an established strategy, and are willing to let performance data determine what gets repeated, revised, or retired.\n\nExcellent written communication and attention to detail.\n\nAble to work from our San Francisco office or remotely, with strong overlap with the team.\n\n\n\n\nNICE-TO-HAVE\n\nExperience writing about AI agents, model infrastructure, sandboxes, cloud infrastructure, open-source software, or usage-based SaaS.\n\nHands-on experience with developer documentation, APIs, SDKs, command-line tools, or code samples.\n\nExperience managing freelance writers or editing technical work from subject-matter experts.\n\nExperience working with SEO, answer-engine optimization, content experimentation, or conversion-focused technical pages.\n\nFamiliarity with the AI-agent ecosystem, including agent frameworks, model providers, sandboxes, and developer infrastructure.\n\nExperience producing customer stories from technical interviews and managing external approval cycles.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"d07e3421-9d5f-4145-8b54-cf6f4ac2cb45","title":"Founding Product Marketing Lead","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-30T19:27:14.031+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/d07e3421-9d5f-4145-8b54-cf6f4ac2cb45","applyUrl":"https://jobs.ashbyhq.com/e2b/d07e3421-9d5f-4145-8b54-cf6f4ac2cb45/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
Why this role, why now
E2B is the sandbox runtime behind Manus, Genspark, Lindy, Groq, Hugging Face, and a long list of AI labs and enterprise agent teams. We're a Series A company with over $37M raised, 8-figure revenue, and more than a billion sandboxes started. Almost all of it came from word of mouth.
We have no content, no positioning beyond what the founders say on sales calls, and no launch process. Developers find us because someone they trust told them to. That works until it doesn't, and we'd rather build the machine while growth is strong than after it stalls. You'll be the first product marketer, and you'll decide how E2B explains itself to the world.
You'll join before our next funding round, with equity priced accordingly.
What you'll own
Positioning and messaging. What E2B is, who it's for, why it wins, and how that changes as the agent market changes. This is the foundation everything else in marketing sits on, and it doesn't exist yet.
Launches. Every product release goes through you: the narrative, the assets, the sequencing, the distribution. You set the launch cadence and hold engineering to it.
The content engine. Technical articles, comparison and migration pages, customer stories, launch content, the website. You write the first flagship pieces yourself, and you run the technical writer and video producer who scale it from there.
Pricing, packaging, and competitive. Usage-based pricing for infrastructure is a product marketing problem. You own the packaging story and the competitive positioning that sales and self-serve both rely on.
Sales enablement for the enterprise motion. Decks, one-pagers, objection handling, proof points. Built once, used everywhere.
A budget. Paid programs, sponsorships, tooling, freelancers. You propose it, you own it.
The function. You're the first person in it and we expect you to grow it as E2B grows.
What's already in place
Two growth engineers and a data scientist who own instrumentation, attribution, and the self-serve funnel, so what you ship will be measurable. A customer base that includes the companies most developers in this space want to learn from, and case-study material we've never written up. A community and ecosystem lead being hired alongside you.
What we've learned so far
Our buyers are engineers who trust benchmarks and code over adjectives. Comparison pages and docs-adjacent content convert better than anything else we've tried. Increasingly, developers find tools through LLM answers rather than search, and we think content should be built with that in mind. Treat these as inputs, not a plan; the plan is yours.
First 90 days
Write the positioning doc, with input from founders, sales, and the ten customers who know us best. Ship two customer stories and two flagship technical pieces. Run one launch end to end. Give us a content and launch calendar for the following two quarters with a clear argument for why it's the right one.
How we'll judge year one
Whether E2B can be explained in a sentence by someone who isn't us. Launch cadence and reach. Growth in content-attributed signups and enterprise pipeline that cites something we published. Whether the writer and video producer are shipping work you're proud of.
Who you are
5+ years in product or developer marketing for a technical product, with at least one stretch where you were the only marketer and it worked.
You write. Not \"manage writers.\" Your portfolio has technical pieces you drafted yourself for a developer audience, and you can read code well enough to write about sandboxing, isolation, and runtime security without a ghostwriter.
You've done positioning from scratch and launched products that engineers adopted.
You understand usage-based pricing for infrastructure, or you've done pricing work somewhere close enough to learn fast.
You've been the number two on a product marketing team and want to be the one deciding.
You're comfortable being measured. Traffic isn't the deliverable; signups and pipeline are.
Nice to have
Experience with agent frameworks, model infrastructure, or sandboxes. Familiarity with answer-engine or SEO programs. A track record tying content to pipeline at a high-growth startup.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\nWhy this role, why now\n\nE2B is the sandbox runtime behind Manus, Genspark, Lindy, Groq, Hugging Face, and a long list of AI labs and enterprise agent teams. We're a Series A company with over $37M raised, 8-figure revenue, and more than a billion sandboxes started. Almost all of it came from word of mouth.\n\nWe have no content, no positioning beyond what the founders say on sales calls, and no launch process. Developers find us because someone they trust told them to. That works until it doesn't, and we'd rather build the machine while growth is strong than after it stalls. You'll be the first product marketer, and you'll decide how E2B explains itself to the world.\n\nYou'll join before our next funding round, with equity priced accordingly.\n\n\n\nWhat you'll own\n\n - Positioning and messaging. What E2B is, who it's for, why it wins, and how that changes as the agent market changes. This is the foundation everything else in marketing sits on, and it doesn't exist yet.\n\n - Launches. Every product release goes through you: the narrative, the assets, the sequencing, the distribution. You set the launch cadence and hold engineering to it.\n\n - The content engine. Technical articles, comparison and migration pages, customer stories, launch content, the website. You write the first flagship pieces yourself, and you run the technical writer and video producer who scale it from there.\n\n - Pricing, packaging, and competitive. Usage-based pricing for infrastructure is a product marketing problem. You own the packaging story and the competitive positioning that sales and self-serve both rely on.\n\n - Sales enablement for the enterprise motion. Decks, one-pagers, objection handling, proof points. Built once, used everywhere.\n\n - A budget. Paid programs, sponsorships, tooling, freelancers. You propose it, you own it.\n\n - The function. You're the first person in it and we expect you to grow it as E2B grows.\n\n\n\nWhat's already in place\n\nTwo growth engineers and a data scientist who own instrumentation, attribution, and the self-serve funnel, so what you ship will be measurable. A customer base that includes the companies most developers in this space want to learn from, and case-study material we've never written up. A community and ecosystem lead being hired alongside you.\n\n\n\nWhat we've learned so far\n\nOur buyers are engineers who trust benchmarks and code over adjectives. Comparison pages and docs-adjacent content convert better than anything else we've tried. Increasingly, developers find tools through LLM answers rather than search, and we think content should be built with that in mind. Treat these as inputs, not a plan; the plan is yours.\n\n\n\nFirst 90 days\n\nWrite the positioning doc, with input from founders, sales, and the ten customers who know us best. Ship two customer stories and two flagship technical pieces. Run one launch end to end. Give us a content and launch calendar for the following two quarters with a clear argument for why it's the right one.\n\n\n\nHow we'll judge year one\n\nWhether E2B can be explained in a sentence by someone who isn't us. Launch cadence and reach. Growth in content-attributed signups and enterprise pipeline that cites something we published. Whether the writer and video producer are shipping work you're proud of.\n\n\n\nWho you are\n\n - 5+ years in product or developer marketing for a technical product, with at least one stretch where you were the only marketer and it worked.\n\n - You write. Not \"manage writers.\" Your portfolio has technical pieces you drafted yourself for a developer audience, and you can read code well enough to write about sandboxing, isolation, and runtime security without a ghostwriter.\n\n - You've done positioning from scratch and launched products that engineers adopted.\n\n - You understand usage-based pricing for infrastructure, or you've done pricing work somewhere close enough to learn fast.\n\n - You've been the number two on a product marketing team and want to be the one deciding.\n\n - You're comfortable being measured. Traffic isn't the deliverable; signups and pipeline are.\n\n\n\nNice to have\n\nExperience with agent frameworks, model infrastructure, or sandboxes. Familiarity with answer-engine or SEO programs. A track record tying content to pipeline at a high-growth startup.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"8807b7c1-3dc4-4f4c-bb20-634fcef4634c","title":"Videographer & Video Editor","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-23T14:41:19.045+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/8807b7c1-3dc4-4f4c-bb20-634fcef4634c","applyUrl":"https://jobs.ashbyhq.com/e2b/8807b7c1-3dc4-4f4c-bb20-634fcef4634c/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
About the role
We’re looking for a videographer and video editor to bring our product, people, and customer stories to life. You’ll own videos from the initial idea through filming and the final edit, helping people see what developers are building with E2B and why it matters.
You’ll work with our team in San Francisco to create product launch videos, customer stories, founder interviews, event coverage, and content for social channels. You should be equally comfortable setting up a shoot and shaping the footage into a compelling story.
This is a hands-on creative role with room to develop E2B’s video style. We’re especially interested in people who have worked in-house at technology companies or at agencies and production studios serving tech clients.
What you’ll do
Develop concepts, scripts, interview questions, and shot lists with clear audiences and goals.
Film founders, engineers, customers, product launches, and events, managing camera, lighting, and audio.
Direct interviews and help people feel natural and confident on camera.
Edit videos from raw footage through final delivery, including sound, color correction, captions, music, and basic motion graphics.
Combine live footage, screen recordings, and graphics to explain software and demonstrate what AI agents can do.
Create both polished longer videos and short clips tailored to LinkedIn, X, YouTube, and other channels.
Manage production schedules, feedback, footage backups, and an organized library of reusable assets.
Collaborate with technical teammates to keep product storytelling accurate, and use audience feedback and performance data to improve future videos.
What we’re looking for
3+ years of professional filming and editing experience, or an exceptional portfolio demonstrating equivalent ability.
A portfolio showing work you personally both shot and edited.
Ability to independently run a shoot, including camera operation, lighting, and clean audio capture.
Strong editing skills in Premiere Pro, DaVinci Resolve, Final Cut Pro, or a comparable professional tool.
Excellent judgment around story, pacing, composition, and sound.
Ability to learn unfamiliar technical topics and turn them into clear, engaging videos.
Strong organization and communication, with the ability to manage multiple projects and incorporate feedback.
Based in the San Francisco Bay Area, or willing to relocate, and available to work with the team and film in person.
Especially relevant experience
Work at a technology company or an agency serving technology clients.
B2B software, AI, developer tools, or infrastructure storytelling.
Product demos, customer testimonials, founder interviews, and launch campaigns.
Motion graphics and animation that make complex ideas easier to understand.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nAbout the role\n\nWe’re looking for a videographer and video editor to bring our product, people, and customer stories to life. You’ll own videos from the initial idea through filming and the final edit, helping people see what developers are building with E2B and why it matters.\nYou’ll work with our team in San Francisco to create product launch videos, customer stories, founder interviews, event coverage, and content for social channels. You should be equally comfortable setting up a shoot and shaping the footage into a compelling story.\nThis is a hands-on creative role with room to develop E2B’s video style. We’re especially interested in people who have worked in-house at technology companies or at agencies and production studios serving tech clients.\n\n\nWhat you’ll do\n\n - Develop concepts, scripts, interview questions, and shot lists with clear audiences and goals.\n\n - Film founders, engineers, customers, product launches, and events, managing camera, lighting, and audio.\n\n - Direct interviews and help people feel natural and confident on camera.\n\n - Edit videos from raw footage through final delivery, including sound, color correction, captions, music, and basic motion graphics.\n\n - Combine live footage, screen recordings, and graphics to explain software and demonstrate what AI agents can do.\n\n - Create both polished longer videos and short clips tailored to LinkedIn, X, YouTube, and other channels.\n\n - Manage production schedules, feedback, footage backups, and an organized library of reusable assets.\n\n - Collaborate with technical teammates to keep product storytelling accurate, and use audience feedback and performance data to improve future videos.\n\n\n\nWhat we’re looking for\n\n - 3+ years of professional filming and editing experience, or an exceptional portfolio demonstrating equivalent ability.\n\n - A portfolio showing work you personally both shot and edited.\n\n - Ability to independently run a shoot, including camera operation, lighting, and clean audio capture.\n\n - Strong editing skills in Premiere Pro, DaVinci Resolve, Final Cut Pro, or a comparable professional tool.\n\n - Excellent judgment around story, pacing, composition, and sound.\n\n - Ability to learn unfamiliar technical topics and turn them into clear, engaging videos.\n\n - Strong organization and communication, with the ability to manage multiple projects and incorporate feedback.\n\n - Based in the San Francisco Bay Area, or willing to relocate, and available to work with the team and film in person.\n\n\n\nEspecially relevant experience\n\n - Work at a technology company or an agency serving technology clients.\n\n - B2B software, AI, developer tools, or infrastructure storytelling.\n\n - Product demos, customer testimonials, founder interviews, and launch campaigns.\n\n - Motion graphics and animation that make complex ideas easier to understand.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"64fe2979-3abe-4a32-8a24-ec5b8582c1a1","title":"Senior Data Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-10-06T15:33:11.694+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/64fe2979-3abe-4a32-8a24-ec5b8582c1a1","applyUrl":"https://jobs.ashbyhq.com/e2b/64fe2979-3abe-4a32-8a24-ec5b8582c1a1/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
We’re looking for a Senior Data Engineer to build the data foundation that helps us understand our business and make better decisions.
You’ll turn data across our infrastructure, billing, and business systems into reliable pipelines and clearly defined datasets. You’ll join the engineering team, report to our Head of Engineering, and work closely with our Head of Finance as your primary partner initially. Over time, your work will support Growth, GTM, and other teams across E2B.
We have data and pieces of the foundation in place. You’ll help bring them together, establish the missing building blocks, and own the quality and usefulness of what we deliver.
You’ll have direct access to the people using your work and substantial ownership over how E2B’s data foundation develops. Your work will help teams answer important questions independently, spend less time reconciling numbers, and make decisions with confidence.
Responsibilities include:
Build and operate pipelines that bring operational and business data into our warehouse, including sandbox usage, cloud infrastructure, billing, and accounting data.
Create data models and shared metric definitions that teams can understand and use consistently.
Establish testing, monitoring, reconciliation, and alerting to catch missing data, inconsistencies, and unexpected changes.
Partner with Finance to turn business questions into dependable datasets, starting with usage, revenue, costs, and margins.
Make data accessible for self-service analysis, reporting, and AI-assisted querying through clear structure and documentation.
Work with engineering teams to improve source data quality and resolve issues from ingestion through downstream consumption.
Make practical decisions about architecture and tooling, balancing immediate business needs with maintainability.
Experience building and owning production data pipelines and warehouse models, including establishing foundations where systems were incomplete or fragmented.
Strong SQL and Python skills, with sound software engineering practices around testing, version control, deployment, and monitoring.
Experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift, and tools for data transformation and orchestration.
A track record of working directly with business stakeholders, clarifying ambiguous requirements, and connecting technical work to business outcomes.
The ability to investigate discrepancies, understand their root causes, and make the underlying systems more reliable.
Strong ownership: you can identify what needs to happen, prioritize it, and carry it through without detailed instructions.
We expect this experience will often come from around six or more years of relevant work, but the depth of your ownership and what you’ve built matter more than a specific number.
Building data foundations at a startup or on a small team.
Supporting Finance, Revenue Operations, Growth, or GTM.
Working with usage-based products, billing data, or cloud infrastructure costs.
Building well-documented datasets that support self-service analytics and AI tools.
Finance domain expertise is helpful, but it isn’t required. We’re looking for an engineer who is curious about the business, learns quickly, and takes responsibility for delivering data people can trust.
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior Data Engineer to build the data foundation that helps us understand our business and make better decisions.\n\nYou’ll turn data across our infrastructure, billing, and business systems into reliable pipelines and clearly defined datasets. You’ll join the engineering team, report to our Head of Engineering, and work closely with our Head of Finance as your primary partner initially. Over time, your work will support Growth, GTM, and other teams across E2B.\n\nWe have data and pieces of the foundation in place. You’ll help bring them together, establish the missing building blocks, and own the quality and usefulness of what we deliver.\n\nYou’ll have direct access to the people using your work and substantial ownership over how E2B’s data foundation develops. Your work will help teams answer important questions independently, spend less time reconciling numbers, and make decisions with confidence.\n\nResponsibilities include:\n\n - Build and operate pipelines that bring operational and business data into our warehouse, including sandbox usage, cloud infrastructure, billing, and accounting data.\n\n - Create data models and shared metric definitions that teams can understand and use consistently.\n\n - Establish testing, monitoring, reconciliation, and alerting to catch missing data, inconsistencies, and unexpected changes.\n\n - Partner with Finance to turn business questions into dependable datasets, starting with usage, revenue, costs, and margins.\n\n - Make data accessible for self-service analysis, reporting, and AI-assisted querying through clear structure and documentation.\n\n - Work with engineering teams to improve source data quality and resolve issues from ingestion through downstream consumption.\n\n - Make practical decisions about architecture and tooling, balancing immediate business needs with maintainability.\n\n\nWHAT WE’RE LOOKING FOR\n\n - Experience building and owning production data pipelines and warehouse models, including establishing foundations where systems were incomplete or fragmented.\n\n - Strong SQL and Python skills, with sound software engineering practices around testing, version control, deployment, and monitoring.\n\n - Experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift, and tools for data transformation and orchestration.\n\n - A track record of working directly with business stakeholders, clarifying ambiguous requirements, and connecting technical work to business outcomes.\n\n - The ability to investigate discrepancies, understand their root causes, and make the underlying systems more reliable.\n\n - Strong ownership: you can identify what needs to happen, prioritize it, and carry it through without detailed instructions.\n\nWe expect this experience will often come from around six or more years of relevant work, but the depth of your ownership and what you’ve built matter more than a specific number.\n\n\n\n\nBONUS POINTS FOR:\n\n - Building data foundations at a startup or on a small team.\n\n - Supporting Finance, Revenue Operations, Growth, or GTM.\n\n - Working with usage-based products, billing data, or cloud infrastructure costs.\n\n - Building well-documented datasets that support self-service analytics and AI tools.\n\nFinance domain expertise is helpful, but it isn’t required. We’re looking for an engineer who is curious about the business, learns quickly, and takes responsibility for delivering data people can trust.\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."},{"id":"4779efbf-7f43-4b8d-97df-85c9f3b1db99","title":"Support Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Prague, Czech Republic","secondaryLocations":[],"publishedAt":"2026-10-13T14:44:42.926+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Prague","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/e2b/4779efbf-7f43-4b8d-97df-85c9f3b1db99","applyUrl":"https://jobs.ashbyhq.com/e2b/4779efbf-7f43-4b8d-97df-85c9f3b1db99/application","descriptionHtml":"E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.
ABOUT THE ROLE
Our customers are engineering teams building AI agents, and when they write to support the question is technical: a sandbox that did not resume, a template build that fails, a network rule that blocks the wrong traffic, an invoice that does not match usage. You answer with evidence, not a script.
You will join a small support team that runs much of its work through its own AI agent harness. Agents read threads, pull logs and traces, and draft replies. You decide what is true, what goes out, and what has to change so the same question does not come back. Based in Europe, you own the queue during European hours and hand off to the US.
Your job will be:
1. Owning technical support threads from developers and enterprise customers, from first reply to resolution
2. Debugging issues across our SDKs (Python, JS/TS), CLI, API and the platform underneath, using logs, traces and metrics and reading our source code
3. Reproducing problems against live E2B and turning them into bug reports engineering can act on
4. Handling account operations: limits, beta access, billing and usage questions
5. Fixing the docs when a customer got stuck on something they should have been able to do alone
6. Building the support tooling itself (skills, knowledge and automations for our AI agents) so the team handles more without growing at the same rate
7. Bringing what customers ask for back to product and engineering
WHO WE'RE LOOKING FOR
• You want to learn, and you learn fast. You pick up a new SDK, tool or concept in days, and you enjoy it
• You follow what is happening in AI because you are curious, not because someone asked: new models, agent frameworks, coding agents
• You are comfortable when things change under you. Our product, processes and tools get rebuilt often, and you help rebuild them
• You already use AI tools (Claude Code, Codex, Cursor or similar) in your work and want to push how far they go
• You own a problem until it is resolved, and you ask for help early when you are stuck
• Clear, warm, accurate written English, and the honesty to say \"I don't know yet, here is what I'm checking\"
THE HARD SKILLS
We will teach you E2B. These are the basics we expect on day one:
• Comfortable on Linux and the command line, and able to read logs to find what failed
• Can read and write some Python or TypeScript/JavaScript, enough to reproduce a bug
• Basic networking (DNS, HTTP, ports) and a sense of how containers or VMs run
• Experience in technical support or another developer-facing role helps
BONUS POINTS FOR
• Experience at a hosting or cloud provider
• Go, or familiarity with Firecracker, KVM, Kubernetes or Nomad
• Observability tooling: Grafana, Loki, Tempo, Prometheus
• Contributions to technical docs or open source
• Czech or Slovak (not required, all customer communication is in English)
We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.
We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.
","descriptionPlain":"ABOUT E2B\n\nE2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish.\n\n\n\nABOUT THE ROLE\nOur customers are engineering teams building AI agents, and when they write to support the question is technical: a sandbox that did not resume, a template build that fails, a network rule that blocks the wrong traffic, an invoice that does not match usage. You answer with evidence, not a script.\n\nYou will join a small support team that runs much of its work through its own AI agent harness. Agents read threads, pull logs and traces, and draft replies. You decide what is true, what goes out, and what has to change so the same question does not come back. Based in Europe, you own the queue during European hours and hand off to the US.\n\nYour job will be:\n1. Owning technical support threads from developers and enterprise customers, from first reply to resolution\n2. Debugging issues across our SDKs (Python, JS/TS), CLI, API and the platform underneath, using logs, traces and metrics and reading our source code\n3. Reproducing problems against live E2B and turning them into bug reports engineering can act on\n4. Handling account operations: limits, beta access, billing and usage questions\n5. Fixing the docs when a customer got stuck on something they should have been able to do alone\n6. Building the support tooling itself (skills, knowledge and automations for our AI agents) so the team handles more without growing at the same rate\n7. Bringing what customers ask for back to product and engineering\n\nWHO WE'RE LOOKING FOR\n• You want to learn, and you learn fast. You pick up a new SDK, tool or concept in days, and you enjoy it\n• You follow what is happening in AI because you are curious, not because someone asked: new models, agent frameworks, coding agents\n• You are comfortable when things change under you. Our product, processes and tools get rebuilt often, and you help rebuild them\n• You already use AI tools (Claude Code, Codex, Cursor or similar) in your work and want to push how far they go\n• You own a problem until it is resolved, and you ask for help early when you are stuck\n• Clear, warm, accurate written English, and the honesty to say \"I don't know yet, here is what I'm checking\"\n\nTHE HARD SKILLS\nWe will teach you E2B. These are the basics we expect on day one:\n• Comfortable on Linux and the command line, and able to read logs to find what failed\n• Can read and write some Python or TypeScript/JavaScript, enough to reproduce a bug\n• Basic networking (DNS, HTTP, ports) and a sense of how containers or VMs run\n• Experience in technical support or another developer-facing role helps\n\nBONUS POINTS FOR\n• Experience at a hosting or cloud provider\n• Go, or familiarity with Firecracker, KVM, Kubernetes or Nomad\n• Observability tooling: Grafana, Loki, Tempo, Prometheus\n• Contributions to technical docs or open source\n• Czech or Slovak (not required, all customer communication is in English)\n\n\n\n\nWHAT IT’S LIKE TO WORK AT E2B\n\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.\n\nWe offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees."}],"apiVersion":"1"}