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Solutions Engineer
Warp (warp) · Remote within US and Canada · Remote · posted 29 days ago
📍 Remote · Canada, United States💶 $170,000 - $240,000 · 80/20 base/variableSales EngineeringPermanent
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Warp (warp) at a glance
- Team size
- Small (under 50 people)
- Company momentum
- Funded (Series A to E), Fast growth stated
- What you'd sell
- Other (not classified yet)
- Sales tech stack
- Salesforce
- Why sellers can succeed here
- Pay published, Ramp period stated, Remote-first
- Open remote sales roles
- 1
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What the advert tells you
- Company
- Warp (warp)
- Green flags
- Pay published, Ramp period stated, Remote-first
- Accepted locations
- Canada, United States
- Languages required
- No other language stated
- How remote
- Remote within a region
- Pay
- $170,000 - $240,000
- Level
- Sales Engineering
- Job type
- Permanent
- Company size
- Small (under 50 people)
- What you'd sell
- Other (not classified yet)
- The number
- Ramp period stated
- How you're paid
- Pay mix stated (mix 80/20)
- Buyers
- C-suite, IT & engineering leaders, Sales & revenue leaders
- Company momentum
- Funded (Series A to E), Fast growth stated
- Remote culture
- Remote-first or async, Team offsites
- Benefits
- Pension or 401(k), Health insurance, Parental leave
- Sales tools
- Salesforce
Full job description
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 three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents.
In Warp, you can 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. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way.
With over 1 million active developers at companies including Docker, Ramp, and 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. For more information on our team and culture, we highly recommend reading our' How We Work' guide.
Why this role?
Warp is hiring a Solutions Engineer to help engineering organizations evaluate, adopt, and expand Factories. You’ll join our growing team of solutions engineers, and be one of our primary technical leads in our enterprise deals. You’ll work alongside our account executives and sales leadership, and partner closely with engineering, and growth.
You’ll show technical buyers what an AISDLC looks like in their environment and help them prove it’s worth it. Factories is defining a category that’s still being invented, and buyers are asking new questions: What’s our automation rate? What’s the ROI on agents? What does a merged PR cost? You’ll help shape how the industry answers them. You’ll also help build the technical sales playbook for how Warp sells Factories.
Your work will fall into three broad areas:
Technical Sales
Run technical discovery, demos, and deep-dives with engineering leaders, platform teams, and individual developers
Work through security reviews, compliance questionnaires, and architecture questions to unblock Factories in enterprise environments
Build and refine the technical sales playbook, including demo environments, POC frameworks, and reusable collateral
Proof of Value
Scope and lead POCs and pilots that show measurable impact in a customer’s own codebase and workflows
Help customers configure Factories for their environment, including agent workflows, model and harness choices, integrations, and self-hosted or bring-your-own LLM setups
Define success criteria with customers and build the business case: automation rate, SDLC velocity, cost-to-quality tradeoffs, and time saved
Handle technical implementation and onboarding to get teams to a technical win quickly
Customer Insight
Be the voice of the customer for product and engineering, surfacing patterns from enterprise evaluations that shape the roadmap
About you:
6+ years in a sales engineering, solutions engineering, or technical customer-facing role
Experience selling and implementing technical SaaS, ideally developer tools, DevOps, infrastructure, or AI products
A background in software engineering: you can read a codebase, debug an integration, and go deep on technical challenges
Hands-on with AI coding agents and LLMs, with an informed view on where agents work well today and where they don’t
Experience leading POCs and getting through enterprise security and compliance reviews
Able to explain complex technical concepts to engineers, engineering leaders, and non-technical stakeholders
Highly organized and able to run multiple technical evaluations at once
Comfortable building process at an early-stage startup where the playbook is still being written
You’ve integrated AI into your daily workflows; at Warp we lean heavily on agents to accelerate and automate our work
Bonus:
Experience bringing a new product category to market
Experience selling into platform engineering or developer productivity teams
Experience building agentic workflows that automate processes within a large enterprise environment
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.
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 compensation amount for this role is targeted at: $170,000 - $240,000, with an 80/20 split.
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 ex
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