Warp

• Help build the expansion playbook from scratch — this function doesn't exist yet, and you'll define how Warp grows within its most strategic accounts • Own a portfolio of existing commercial/enterprise customers — accountable for expansion revenue, net retention, and renewals • Proactively multi-thread into engineering and product leadership to deepen adoption, position Warp's evolving platform — Warp Drive, multi-agent workflows, and AI-native terminal features, and turn initial lands into multi-year relationships • Monitor credit consumption and usage commitments — reach out before customers exhaust pre-commits to right-size the next phase of their commercial structure • Run renewal motions end-to-end, from transactional email-led renewals to complex multi-stakeholder negotiations involving SEs, product, and leadership • Collaborate closely with Engineering, Growth, and Leadership to surface field signal — what's landing, what's not, and what the next wave of expansion looks like

• Participate in all aspects of software development activities, including design, coding, code review, unit/integration testing, bug fixing, and code/API documentation. • Collaborate closely with engineering and other stakeholders from the growth, marketing, and product teams to plan features and build a high-quality product. • Improve Warp's performance and reliability by building new features or polishing existing product parts. • Prototype ideas and concepts to get feedback from users. • Work across the entire technical stack to ensure users have the most efficient and delightful Warp experience. • Be a mentor and provide thoughtful feedback to your peers.

• Lead implementation engagements end-to-end. Run our multi-week implementation support program — from kickoff (requirements gathering, use case selection, success criteria definition) through weekly implementation sessions to wrap-up (outcome review, ROI validation, expansion planning). • Architect agent workflows with customers. Help enterprise teams design agent architectures for their specific use cases — selecting agent triggers, configuring sandboxed environments, and structuring multi-step agent workflows. • Build 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. • Guide self-hosted deployments. For enterprises running agents on their own infrastructure, help configure self-hosted workers, Docker daemon connectivity, private registries, and task routing. • Develop reusable implementation patterns. Document architecture patterns, reference implementations, and best practices that accelerate future deployments. Contribute to the Oz skill and template ecosystem. • Be the voice of the customer to Product and Engineering. Surface implementation friction, feature gaps, and common pain points. Translate customer needs into actionable product feedback that shapes the Oz platform roadmap. • Provide ongoing technical support. Respond to customer questions via Slack with same-business-day SLA. Troubleshoot agent failures, environment issues, and integration problems.

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 the platform for Agentic Development: a workbench for dispatching agents to code, deploy, and debug production software. With over 700k active developers and revenue that grew over 44x last year, Warp is now one of the fastest growing startups in the exploding AI development space. We believe that soon developers will be “tech leads” for groups of agents; rather than opening a code editor to write code or a terminal to write commands, they will open Warp and prompt their computer to build features, fix bugs, and diagnose production issues. With its starting point as a reimagined command line, Warp is well-positioned to support agent-first workflows: It sits at the lowest level in the dev stack, has access to all of a developer’s context, and is set up for multitasking and long-running processes. In addition, Warp has state-of-the-art code editing features and built-in team knowledge sharing. It’s the right interface for the agentic future. 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. For more information on our team and culture, we highly recommend reading our How We Work. Why this role? Warp is scaling its enterprise motion around Oz Cloud Agents — cloud-connected background agents that run from events, schedules, or integrations, giving teams scalable automation with shared observability. As enterprises adopt Oz, they need hands-on technical guidance to deploy production agents — configuring environments, designing agent workflows, setting up self-hosted infrastructure, and iterating on prompts and skills. We're hiring an Implementation Engineer to be the dedicated technical lead for these engagements. This person will run our structured Implementation Support program, working directly with customer engineering teams from use case selection through production deployment. You'll sit at the intersection of engineering and enterprise GTM; building alongside customers, not just advising. You'll architect agent workflows, configure Docker environments, write skills and prompts, debug integrations, and guide self-hosted deployments. You'll also work closely with Product and Engineering to translate field learnings into product improvements, shaping the platform based on what you see in the field. As an Implementation Engineer, you will... - Lead implementation engagements end-to-end. Run our multi-week implementation support program — from kickoff (requirements gathering, use case selection, success criteria definition) through weekly implementation sessions to wrap-up (outcome review, ROI validation, expansion planning). - Architect agent workflows with customers. Help enterprise teams design agent architectures for their specific use cases — selecting agent triggers, configuring sandboxed environments, and structuring multi-step agent workflows. - Build 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. - Guide self-hosted deployments. For enterprises running agents on their own infrastructure, help configure self-hosted workers, Docker daemon connectivity, private registries, and task routing. - Develop reusable implementation patterns. Document architecture patterns, reference implementations, and best practices that accelerate future deployments. Contribute to the Oz skill and template ecosystem. - Be the voice of the customer to Product and Engineering. Surface implementation friction, feature gaps, and common pain points. Translate customer needs into actionable product feedback that shapes the Oz platform roadmap. - Provide ongoing technical support. Respond to customer questions via Slack with same-business-day SLA. Troubleshoot agent failures, environment issues, and integration problems. You May Be A Good Fit If... - You have 3+ years of experience in implementation engineering, solutions engineering, forward-deployed engineering, or a similar customer-facing technical role. - You have a strong software engineering background — you're comfortable writing production-quality code, debugging distributed systems, and working across the stack. - You have experience with Docker, CI/CD pipelines, cloud infrastructure (understanding of container orchestration, image management, and deployment patterns), Kubernetes, Linux, and cloud providers (AWS, GCP, Azure). - You're familiar with AI/LLM concepts — prompt engineering, agent architectures, tool use, and evaluation of non-deterministic systems. - You have experience working with developer tools, DevOps platforms, or infrastructure software. - You can manage multiple concurrent customer engagements while maintaining high quality and clear communication. - You have excellent communication skills — you can explain complex technical concepts clearly to both engineering leads and executive stakeholders. Bonus - You have experience building or deploying AI agents in production (LangChain, custom agent frameworks, or similar). - You have experience with GitHub Actions, webhooks, and event-driven automation. - You're familiar with enterprise security and compliance requirements (SOC 2, self-hosted deployments, network boundary constraints). - You've worked with APIs/SDKs in a customer-facing capacity (building integrations, writing client libraries, or doing technical enablement). - You have experience with terminal applications, shell scripting, or command-line tooling. 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 $180,000 - $220,000. 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…

• Define, build, and visualize core product and business metrics • Design and analyze A/B experiments to measure the impact of product changes • Adapt data models to support new product features, pricing models, and business initiatives • Partner with GTM teams to surface product-qualified leads, measure engagement, and support billing and revenue analytics • Build and maintain canonical data models that serve as reliable sources of truth • Write production ETL to ingest new data sources and reverse-ETL to push data to downstream consumers • Develop AI agents to automate pieces of the data team’s workflows • Establish data quality monitoring and reliability standards • Build tooling that enables self-serve analytics across the company • Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities • Dig into questions like: How does Warp expand within companies? What is the optimal pricing structure? How do we identify potential enterprise leads? What characteristics of AI interactions drive churn?

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 the platform for Agentic Development: a workbench for dispatching agents to code, deploy, and debug production software. With over 700k active developers and revenue that grew over 44x last year, Warp is now one of the fastest growing startups in the exploding AI development space. We believe that soon developers will be “tech leads” for groups of agents; rather than opening a code editor to write code or a terminal to write commands, they will open Warp and prompt their computer to build features, fix bugs, and diagnose production issues. With its starting point as a reimagined command line, Warp is well-positioned to support agent-first workflows: It sits at the lowest level in the dev stack, has access to all of a developer’s context, and is set up for multitasking and long-running processes. In addition, Warp has state-of-the-art code editing features and built-in team knowledge sharing. It’s the right interface for the agentic future. 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. For more information on our team and culture, we highly recommend reading our How We Work. Why this role? We’re hiring an Analytics Engineer to join Warp’s data team, reporting to Ian Wright, our Data Lead. Warp is a fast-growing AI developer tool, and our data footprint is expanding quickly—we ingest telemetry from our apps and servers, LLM conversational data, transactional production databases, GTM pipelines, and a variety of third-party sources. The data team’s job is to transform this raw data into reliable metrics and deep insights that help us understand how our product is used, how the business is growing, and where we should go next. As an Analytics Engineer, you will... This is a full-stack data role that moves across the data stack and touches all parts of Warp’s business. Your work will fall into three broad areas: Operations - Define, build, and visualize core product and business metrics - Design and analyze A/B experiments to measure the impact of product changes - Adapt data models to support new product features, pricing models, and business initiatives - Partner with GTM teams to surface product-qualified leads, measure engagement, and support billing and revenue analytics Infrastructure - Build and maintain canonical data models that serve as reliable sources of truth - Write production ETL to ingest new data sources and reverse-ETL to push data to downstream consumers - Develop AI agents to automate pieces of the data team’s workflows - Establish data quality monitoring and reliability standards - Build tooling that enables self-serve analytics across the company Research - Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities - Dig into questions like: How does Warp expand within companies? What is the optimal pricing structure? How do we identify potential enterprise leads? What characteristics of AI interactions drive churn? You May Be A Good Fit If... - You have 4+ years of experience in an analytics-focused data role - You’re highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift - You’ve built dashboards and visualizations with BI tools like Hex, Looker, Mode, Tableau, or Metabase - You care deeply about the business decisions your data informs—not just building the pipelines behind them - You balance business intuition with an engineering mindset: writing efficient, scalable queries; thinking about cost and compute across the data stack; and working with version control, CI/CD, and testing - You have a bias for action and are comfortable operating with autonomy—you can identify opportunities across the company and proactively build solutions - You’re an effective and creative communicator who can translate complex analysis into actionable insights for stakeholders with varying levels of data fluency - You’re deeply curious—when a metric moves unexpectedly, you dig until you understand why - You’ve integrated AI into your daily workflows; at Warp we lean heavily on agents to accelerate and automate our work Bonus: - Experience with the GCP data stack (GCS, BigQuery, Dataflow, Dataproc) - Production-grade experience with Python - Experience on a data team at an early-stage startup - Familiarity with Warp’s platform 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 $160,000 - $180,000. 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…

• Translate creative direction into high-quality production assets across sales, marketing, and internal channels. • Own the production of decks, PDFs, diagrams, landing pages, campaign assets, and internal materials. • Maintain and evolve Warp’s brand system, templates, and component libraries. • Manage asset organization, versioning, and retrieval across the team. • Support Growth and Sales with consistent, on-brand creative output. • Collaborate with Creative Leadership to turn strategy into scalable, repeatable execution. • Help define and improve creative production processes and workflows.

• Own end-to-end enterprise implementations: Build ambient agents inside enterprise customer environments, working directly in their infrastructure to prove out business value. • Build customer-specific integrations: Create GitHub Actions that run ambient agents with customer style guides, Jira bots that trigger locally-hosted agents, Slack integrations that let teams @mention Warpy to fix bugs or run workflows, and whatever else customers need to make ambient agents work in their stack. • Accelerate deals through technical execution: Turn pilot conversations into signed contracts by removing the implementation burden from customers who say 'this is great, we just don't have time to build it.' • Partner closely with Sales from discovery through implementation: Join customer calls from the very first discovery meeting to understand their technical environment and identify opportunities for ambient agents. Be the technical voice that helps scope what's possible and builds confidence in our solution. • Translate customer learnings back into product: Work closely with Engineering to share what you're learning in the field—which integrations should become first-party, what's blocking faster implementations, and where our platform needs to evolve. Your customer work should make the next implementation easier.

• Ensure inbound leads are routed, enriched, and followed up on correctly based on ICP, intent, and product signals. • Build, maintain, and optimize workflows to maximize conversion from inbound → qualified conversations → opportunities. • Own lead scoring, assignment rules, SLAs, and early-stage pipeline hygiene. • Work closely with Product, Growth, and Sales to operationalize PQL scoring, usage-based triggers, alerting, and automated outreach paths. • Build the operational backbone that turns self-serve users into high-quality enterprise opportunities. • Implement processes that surface engineering teams with the strongest activation signals (AI usage, agentic workflows, collaboration usage, team clustering, etc.). • Take over and improve our existing GTM systems, including HubSpot, Clay, Apollo, PLG analytics, and reporting layers. • Evaluate and implement new tools that improve routing, forecasting, enrichment, engagement, and automation. • Manage integrations across the GTM stack (CRM, product analytics, data warehouse, enrichment vendors, contract tools, etc.). • Build and maintain dashboards that give leadership full visibility into top-, middle-, and bottom-funnel performance. • Own GTM reporting: inbound conversion, PLG activation funnels, opportunity progression, territory performance, rep activity, funnel health, and forecasting accuracy. • Partner with Sales Leadership to project pipeline needs and model scenarios for growth. • Build high-quality documentation, workflows, and SOPs. • Identify bottlenecks and run structured improvement cycles across the entire funnel.

• Define the acquisition approach across both self-serve (PLG) and enterprise, responsible for driving top-of-funnel acquisition and monetization/pipeline. • Set strategy around channel mix, activation loops, audience targeting, and scaling budget. • Prioritize opportunities based on retention, efficiency, and path to profitable growth. • Lead paid and performance channels from hypothesis to execution. • Build and iterate A/B test frameworks, campaign planning, targeting strategy, creative testing, and channel optimization. • Own measurement of CAC, ROI, payback performance, and confidence-building around ROAS/payback models for scaled spend. • Build persistent, personalized user journeys for self serve and enterprise users segmented by role, usage, and intent. • Design scaled activation and retention paths across email, push, and in-product messaging. • For enterprise, guide accounts toward SQLs through targeted nurture, product signal mining, and pipeline-aware triggers. • Own Warp’s web surfaces – homepage, landing pages, product pages, etc – to improve discoverability and conversion. • Lead A/B experiments with Product and Design, improving conversion, activation, and engagement without sacrificing efficiency. • Manage and optimize core platforms, including Customer.io, HubSpot, Framer, etc to improve personalization, predictive targeting, and performance. • Maintain clean taxonomy, triggers, and automation infrastructure that supports agent-first delivery, segmentation, and product signal capture. • Maintain dashboards covering the full funnel (awareness, activation, upgrades, etc) • Surface experiment insights, channel retention, funnel health, and cost efficiency findings to the team. • Lead forecasting, pacing, and execution readouts for both self-serve and enterprise.