Warp: We're Building the Platform for Agentic Development

Warp began with the vision of reimagining one of the fundamental dev tools — the terminal — to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software.

Today, we have two products: Warp, the agentic development environment born out of the terminal, and Oz, our orchestration platform for running hundreds of cloud agents in parallel. With both products, we’re creating the scaffolding for developers to build their own workflows for working with agents.

In Warp, seamlessly switch between running commands, launching agents, and iterating on code with agents— eliminating the need to jump between a terminal and an IDE. It all works with our built-in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. In Oz, build custom agents that are triggered programmatically, tracked centrally, and are shared across full teams to run agents across organizations without compromising security or reliability. Continue cloud agent runs that were triggered by Oz locally in Warp or on the web with one click.

With over 750k active developers at companies including Docker, Ramp, Peloton, and over half of the Fortune 500 and revenue that grew over 44x last year, Warp is one of the fastest-growing startups in the AI development space.

Our mission has remained the same even as AI has advanced: to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work. If you want to help define what development looks like in the agentic era at a company where your work reaches hundreds of thousands of engineers every day, we'd love to have you.

Why This Role?
Warp is scaling its enterprise motion around Oz — Warp's programmable agent platform for running and coordinating agents at scale. Oz Cloud Agents are cloud-connected background agents that run from events, schedules, or integrations, giving engineering teams scalable automation with shared observability. Enterprise customers can choose from Warp-hosted execution (where Oz handles everything from sandboxed environments to integrations) to self-hosted execution (where agents run on the customer's own infrastructure while Oz provides orchestration, session management, and visibility).

Every enterprise has different security requirements, internal tooling, and use cases and we need someone to bridge the gap between our platform and their unique environments. As enterprises adopt Oz, they need hands-on technical leadership to deploy production agent workflows: architecting solutions, configuring environments, building integrations, guiding self-hosted deployments, and iterating on prompts and skills until the agents deliver real business value.

As our Founding Forward Deployed Engineer, you'll be the first hire dedicated to making enterprise implementations successful, turning promising pilots into production deployments that drive real results. This role sits at the intersection of engineering, product strategy, and go-to-market — you'll build alongside customers, not just advise them. You'll report to leadership and have direct exposure across every part of the business.

As a Founding Forward Deployed Engineer, you will...

Own end-to-end enterprise implementations. Lead engagements from first discovery call through production deployment. Run deep discovery on customer engineering environments, define success criteria, architect agent workflows tailored to their stack, and own the outcome end-to-end.
Architect agent workflows with customers. Help enterprise engineering teams design agent architectures for their specific use cases: selecting triggers (Slack, Linear, GitHub Actions, webhooks, cron schedules, API calls), configuring sandboxed environments, structuring multi-step agent workflows, and designing integration-driven automation that fits into their existing development lifecycle.
Build production-grade solutions alongside customers. Write and iterate on agent prompts, skills, and configurations. Set up environments, secrets, MCP servers, and integrations. Debug agent runs using session sharing and observability tools. Ship a working version in days, then harden it over weeks with proper monitoring and iteration based on real usage.
Guide self-hosted deployments. For enterprises that need execution on their own infrastructure, help configure managed workers (Docker, Kubernetes, or Direct backend), set up task routing, connect private registries, and validate network connectivity, ensuring they get the same orchestration and observability benefits as Warp-hosted execution.
Accelerate deals through technical execution. Join customer calls from the very first discovery meeting to understand their technical environment and identify opportunities for Oz cloud agents.
Develop reusable implementation patterns. Turn what you build into reusable patterns that make the next implementation faster. Document architecture patterns, reference implementations, agent skills, and templates.
Be the voice of the customer to Product and Engineering. You'll be closer to customer needs than almost anyone else on the team. Surface implementation friction, feature gaps, and common pain points. Translate what you're learning in the field – which integrations should become first-party, what's blocking faster deployments, where the platform needs to evolve – into actionable feedback that shapes the Oz platform roadmap.

You may be a good fit if...

You're a strong, customer-focused engineer. CS degree or equivalent experience. You'll go through our standard software engineering interview loop because you need to be able to build production-quality solutions, not just advise on them.
You have FDE-equivalent experience. Ideally, most recently a Forward Deployed Engineer, or you might be an early engineer or founder at a startup where you worked closely with GTM and did pilot implementations for enterprises. The key signal: you've built custom technical solutions for customers, not just internal products.
You have strong infrastructure fundamentals. You're comfortable with Docker, CI/CD pipelines, cloud infrastructure (AWS, GCP, Azure), container orchestration, and Linux. You understand how enterprise engineering environments work and can navigate them confidently.
You're familiar with AI/LLM concepts. You understand prompt engineering, agent architectures, tool use, and how to evaluate non-deterministic systems. You've built or deployed AI-powered workflows, not just prototypes, but systems that run in production.
You're an excellent communicator who can articulate the vision. You can hold your own with senior engineers and executives alike. You need to articulate Warp's vision for Oz cloud agents in a way that gets enterprise engineering teams and leadership excited.
You have high EQ and can navigate enterprise relationships. Working with other companies' engineers requires a different approach than internal collaboration. You know how to be amenable, patient, and constructive even when things aren't set up the way you'd prefer.

Bonus...

Experience building or deploying AI agents in production (LangChain, custom agent frameworks, or similar)
Experience with GitHub Actions, webhooks, and event-driven automation
Familiarity with enterprise security and compliance requirements (SOC 2, self-hosted deployments, network boundary constraints)
Experience with APIs/SDKs in a customer-facing capacity (building integrations, writing client libraries, or doing technical enablement)
Experience with terminal applications, shell scripting, or command-line tooling
Experience with Rust or Go

At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles.

If you're feeling playful, try out our optional hiring challenge and submit your answers with your application: https://github.com/warpdotdev/hiring-challenge

Salary Transparency

Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity.

When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you'd like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there's equal pay for equal work among those you'll be working with. The budgeted compensation amount for this role is targeted at $200,000 to $235,000

In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we're happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside.

Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above.

What We Offer

Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board
Full Medical, Dental, and Vision Benefits for employees (80% coverage for dependents)
Flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL
Pre-tax FSA Health Savings Plan
Pre-tax Commuter Benefit
20-days of Paid Time Off
Unlimited Sick Time Off
12 US Holidays
16 weeks of paid Parental Leave for both birthing and non-birthing parents
Twice-a-year company retreats
Monthly gym and internet stipend
Guideline 401(k)
Complimentary OneMedical membership

Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

About Warp

We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world.

We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and the culture of our engineering team, please take a look at our internal 'How We Work' guide.

We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, Figma), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI).

The Product

Here's our latest demo showing some of our current features…

Seniority	Avg range	Currency	Listings
Mid	$166,667 – $211,667	USD	3
Senior	$114,269 – $160,983	USD	10
Staff	$182,877 – $218,237	USD	4

Remote Gemini Agentic AI Engineering Jobs

Salary insights for Remote Gemini Agentic AI Engineering Jobs

By seniority

By location type

Get jobs like these weekly