How to Apply to Runway

7 min read Last updated March 7, 2026 36 open positions
Blake Crosley
Blake Crosley Researched using publicly available information, hiring data, and ATS analysis.

Key Takeaways

  • Runway is a highly selective AI startup — with only ~36+ open roles, every application should be carefully tailored to the specific position.
  • The company uses Greenhouse as its ATS, so optimizing your resume for clean parsing and keyword relevance is essential for getting noticed.
  • Demonstrating genuine enthusiasm for AI-powered creative tools is a significant differentiator — research Runway's products (Gen-2, Gen-3, etc.) before applying.
  • Interdisciplinary experience that bridges technology and creativity is particularly valued and can set you apart from purely technical candidates.
  • Expect a rigorous, multi-stage interview process that evaluates both technical depth and cultural alignment with Runway's mission.
  • Quantify your achievements on your resume — startups want to see evidence of measurable impact, not just responsibilities.
  • Prepare thoughtful answers for Greenhouse's custom application questions, as these are commonly used as initial screening filters.

About Runway

Runway is a pioneering AI-powered creative tools company that sits at the intersection of artificial intelligence, machine learning, and creative media production. Best known for its groundbreaking generative AI video models — including Gen-1 and Gen-2 — Runway has positioned itself as a leader in the rapidly evolving AI-for-creativity space. The company has attracted significant venture capital funding and has been recognized for its contributions to the entertainment industry, including involvement in Academy Award-winning visual effects workflows. Runway's culture is commonly described as research-driven, highly collaborative, and deeply interdisciplinary, blending world-class machine learning research with product design and artistic vision. The team typically includes researchers, engineers, designers, and creatives who share a passion for pushing the boundaries of what AI can do for storytelling and content creation. With a relatively lean team and a small number of open roles at any given time, Runway tends to be highly selective, seeking candidates who demonstrate both deep technical expertise and genuine enthusiasm for the creative applications of AI technology.

Application Process

  1. 1
    Explore Open Roles on the Careers Page

    Start by visiting Runway's official careers page at runwayml.com/careers. With approximately 36+ open roles spanning engineering, finance, customer support, and sales, the listings are curated and specific. Read each job description carefully — Runway tends to write detailed, thoughtful descriptions that reveal a lot about team expectations, required technical skills, and the day-to-day nature of the work. Pay close attention to emoji-tagged categories (e.g., ⚙️ for engineering, 📈 for finance, 🤝 for sales) as these help you quickly identify the department and function.

  2. 2
    Submit Your Application Through Greenhouse

    Runway uses Greenhouse as its applicant tracking system (ATS). When you click 'Apply' on a job listing, you'll typically be directed to a Greenhouse-hosted application form. You'll be asked to upload your resume, provide contact information, and often answer role-specific questions or provide links to portfolios, GitHub profiles, or other relevant work samples. Ensure your resume is in PDF or DOCX format for optimal parsing. Complete every field thoroughly — incomplete applications may be deprioritized by recruiters reviewing candidates in the Greenhouse pipeline.

  3. 3
    Initial Recruiter Screen

    If your application advances, you'll commonly be contacted by a recruiter or hiring coordinator for an initial screening call. This conversation typically lasts 20-30 minutes and covers your background, interest in Runway, and alignment with the role's core requirements. For a startup of Runway's profile, recruiters may also assess cultural fit and your passion for AI and creative technology. Be prepared to articulate why Runway specifically appeals to you and how your experience maps to the role's demands.

  4. 4
    Technical or Functional Assessment

    Depending on the role, you may be asked to complete a technical assessment, take-home project, or case study. For engineering roles (e.g., Senior/Staff Product Engineer, Platform Engineer, Engineering Manager), this could involve coding challenges, system design discussions, or architecture reviews. For roles like Forward Deployed Finance Partner or Technical Account Executive, expect scenario-based exercises or presentations that test your domain expertise and problem-solving approach. Many applicants report that Runway's assessments are designed to reflect real-world challenges the team faces.

  5. 5
    Team Interviews and Cross-Functional Conversations

    Candidates who pass the assessment stage typically move into a series of interviews with team members, hiring managers, and potentially cross-functional stakeholders. At a company like Runway, where teams are lean and collaborative, expect interviewers from adjacent teams to participate. These conversations commonly evaluate technical depth, communication skills, collaborative instincts, and your ability to think creatively about problems. For engineering management roles, leadership philosophy and team-building experience are likely focal points.

  6. 6
    Final Decision and Offer

    After the interview rounds, the hiring team typically convenes to discuss candidates. Given Runway's selective hiring approach with a small number of open roles, the decision process may involve senior leadership input. If selected, you'll receive an offer that commonly includes competitive compensation, equity, and benefits typical of well-funded AI startups. The recruiter will walk you through the offer details and answer any questions about the role, team, or company trajectory.

Resume Tips for Runway

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Highlight AI/ML Experience Prominently

Runway is an AI-first company, so any experience with machine learning, deep learning, generative models, computer vision, or related fields should be featured prominently on your resume. Even for non-engineering roles, demonstrating familiarity with AI concepts and tools signals alignment with the company's mission. Use specific terminology — mention frameworks (PyTorch, TensorFlow), model types (diffusion models, transformers), or relevant research areas to catch both recruiter and hiring manager attention.

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Quantify Impact with Metrics and Outcomes

Startups like Runway value candidates who drive measurable results. Instead of listing responsibilities, frame your experience around outcomes: 'Reduced inference latency by 40%,' 'Grew account revenue by $2M ARR,' or 'Shipped feature used by 50K+ users in first month.' Greenhouse allows recruiters to search and filter candidates, so resumes with clear, quantified achievements tend to stand out during review.

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Showcase Creative or Interdisciplinary Projects

Runway sits at the intersection of technology and creativity. If you've worked on projects that blend engineering with art, design, filmmaking, or creative media, highlight them. This could include generative art projects, creative coding experiments, contributions to open-source creative tools, or collaborations with artists and designers. This interdisciplinary signal is particularly valuable and differentiates you from candidates with purely technical backgrounds.

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Tailor Your Resume to the Specific Role

With only about 36+ open positions, each role at Runway is distinct and carefully scoped. Avoid sending a generic resume. For a Senior/Staff Platform Engineer role, emphasize infrastructure, scalability, and distributed systems experience. For a Technical Account Executive role, highlight client-facing technical sales, relationship management, and solution engineering. Mirror the language and priorities from the job description to demonstrate you've done your homework.

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Use Clean, ATS-Compatible Formatting

Since Runway uses Greenhouse, your resume will be parsed by its built-in resume parser. Use standard section headers (Experience, Education, Skills), avoid tables, columns, or complex graphics that may confuse the parser, and submit in PDF or DOCX format. Ensure your contact information is in plain text at the top of the document. A cleanly formatted resume ensures that all your information is accurately captured in the recruiter's dashboard.

recommended

Include Relevant Links and Portfolio Materials

Runway's application forms commonly include fields for URLs — GitHub, personal website, portfolio, LinkedIn, or published research. Prepare these links in advance and ensure they're up to date. For engineering candidates, a well-maintained GitHub with relevant projects can be a strong differentiator. For customer-facing roles, a LinkedIn profile that reflects your professional narrative and endorsements adds credibility.

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Keep It Concise — Ideally One to Two Pages

At a fast-moving startup, hiring managers and recruiters are reviewing applications efficiently. A concise, well-organized resume that communicates your strongest qualifications in one to two pages is typically preferred over a lengthy document. Prioritize recent and relevant experience, and trim older or less relevant roles to brief mentions if needed.

ATS System: Greenhouse

Greenhouse is one of the most widely used applicant tracking systems among technology startups and growth-stage companies. It provides structured hiring workflows, resume parsing, candidate scorecards, and collaborative evaluation tools for hiring teams. When you apply to Runway, your resume and application data are ingested into Greenhouse, where they are parsed into structured fields and made searchable by recruiters. Greenhouse supports keyword-based candidate searches, tagging, and pipeline stage tracking, meaning how you present your information directly affects your visibility in the system.

  • Use standard resume section headers like 'Experience,' 'Education,' 'Skills,' and 'Projects' — Greenhouse's parser relies on these conventions to accurately categorize your information.
  • Incorporate keywords from the job description naturally throughout your resume. Greenhouse allows recruiters to search candidates by keyword, so matching terminology (e.g., 'distributed systems,' 'generative AI,' 'account management') improves your discoverability.
  • Submit your resume in PDF or DOCX format. While Greenhouse handles both, PDF tends to preserve formatting more reliably, and DOCX may parse slightly more accurately in some configurations — either is generally safe.
  • Fill out all application form fields completely, including optional ones. Greenhouse tracks completion rates, and thorough applications signal genuine interest and attention to detail.
  • Avoid using headers, footers, text boxes, or multi-column layouts in your resume, as these elements can cause parsing errors in Greenhouse, leading to missing or jumbled information in your candidate profile.
  • If the application includes custom questions (common in Greenhouse), answer them thoughtfully and specifically. These responses are often used as initial screening criteria by recruiters.

Complete Greenhouse Resume Guide →

Interview Culture

Runway's interview culture is commonly described as intellectually rigorous yet genuinely curious and collaborative.

As a company that operates at the frontier of AI research and creative technology, interviews tend to go beyond standard technical assessments to explore how candidates think about problems, approach ambiguity, and connect technical work to real-world creative applications. For engineering roles — which make up a significant portion of Runway's open positions — candidates can typically expect a mix of coding exercises, system design discussions, and conversations about past projects. Many applicants report that interviewers are deeply knowledgeable and ask probing follow-up questions, so surface-level answers are unlikely to suffice. Demonstrating depth of understanding, intellectual honesty about what you don't know, and the ability to reason through novel problems tends to be valued highly. For non-engineering roles such as the Forward Deployed Finance Partner or Technical Account Executive positions, interviews commonly include case studies, role-play scenarios, or presentations that simulate the actual challenges of the role. The emphasis appears to be on practical problem-solving ability and the capacity to operate effectively in a fast-paced, ambiguous startup environment. Culturally, Runway appears to value people who are genuinely passionate about the intersection of AI and creativity. Interviewers may ask about your personal interests in art, media, or technology to gauge authentic enthusiasm. The company's lean team structure means every hire has outsized impact, so expect the bar to be high and the evaluation to be thorough. Candidates who demonstrate both technical excellence and creative curiosity tend to resonate most strongly with Runway's hiring philosophy.

What Runway Looks For

  • Deep technical expertise in AI/ML, software engineering, or the specific domain relevant to the role
  • Genuine passion for the intersection of artificial intelligence and creative expression
  • Ability to thrive in ambiguity and operate effectively in a fast-paced startup environment
  • Strong collaborative instincts and excellent communication skills across disciplines
  • Track record of shipping impactful products, features, or projects from concept to completion
  • Intellectual curiosity and a growth mindset — willingness to learn and tackle unfamiliar challenges
  • Experience working with or building tools for creative professionals (filmmakers, designers, artists)
  • Ownership mentality — comfort with taking initiative and driving outcomes without heavy direction

Frequently Asked Questions

What does Runway do as a company?
Runway is an AI company that builds generative AI tools for creative professionals. They are best known for their AI video generation models (such as Gen-1, Gen-2, and Gen-3), which allow users to create and edit video content using artificial intelligence. The company serves filmmakers, designers, artists, and content creators, and has been recognized for contributions to visual effects workflows in major film productions.
How do I apply for a job at Runway?
Visit Runway's careers page at runwayml.com/careers, browse the available positions, and click 'Apply' on the role that interests you. You'll be directed to a Greenhouse-hosted application form where you'll upload your resume, provide contact details, and typically answer role-specific questions. Make sure to complete all fields and include relevant links to portfolios, GitHub profiles, or other work samples.
What ATS does Runway use, and how should I optimize my resume for it?
Runway uses Greenhouse as its applicant tracking system. To optimize your resume, use standard section headers, avoid complex formatting like tables or multi-column layouts, incorporate relevant keywords from the job description, and submit in PDF or DOCX format. Complete all application fields, including optional ones, to maximize your visibility in the system.
Does Runway offer remote or work-from-home positions?
Based on current job listings, at least some roles at Runway appear to offer remote or work-from-home arrangements — for example, the Customer Support Specialist role is listed as 'Work From Home.' However, remote availability likely varies by role and team. Check each individual job listing for specific location requirements and flexibility details.
What types of roles does Runway typically hire for?
Runway's open positions commonly span engineering (Product Engineers, Platform Engineers, Engineering Managers), go-to-market functions (Technical Account Executives), finance (Forward Deployed Finance Partner), and customer support. Given the company's focus, engineering and technical roles tend to make up a significant portion of openings. The specific mix of roles changes as the company grows and its needs evolve.
How competitive is it to get hired at Runway?
Runway is generally considered highly competitive to join. As a well-funded, high-profile AI startup with a small team and limited open positions, the company can afford to be very selective. Many applicants report a thorough, multi-stage interview process. To maximize your chances, tailor your application carefully, demonstrate relevant expertise, and show genuine passion for AI and creative technology.
What should I know about Runway's products before interviewing?
Familiarize yourself with Runway's core products, particularly their generative AI video tools (Gen-1, Gen-2, Gen-3 Alpha). Try the product if possible — Runway offers a web-based platform where you can experiment with their AI tools. Understanding the user experience, capabilities, and limitations of their products demonstrates genuine interest and gives you concrete talking points during interviews.
Does Runway require AI or machine learning experience for all roles?
Not all roles require hands-on AI/ML experience. While engineering positions typically require strong technical backgrounds, roles in finance, customer support, and sales may prioritize domain-specific expertise instead. However, across all roles, demonstrating familiarity with AI concepts and enthusiasm for Runway's mission in AI-powered creativity is commonly expected and can be a meaningful differentiator.

Sample Open Positions

Check Your Resume Before Applying → View 36 open positions at Runway

Related Resources

Similar Companies

Sources

  1. Runway Careers Page — Runway
  2. Runway Official Website — Runway
  3. Greenhouse ATS - How It Works — Greenhouse Software
  4. Greenhouse Help Center - Resume Parsing — Greenhouse Software
  5. Runway Research Blog — Runway