How to Apply to Speechify

9 min read Last updated March 7, 2026 1484 open positions
Blake Crosley
Blake Crosley Researched using publicly available information, hiring data, and ATS analysis.

Key Takeaways

  • Target your application to a single, specific Speechify role and location — with 2,000+ postings on Greenhouse, precision beats spray-and-pray every time
  • Build your resume around consumer product impact: DAU growth, app performance improvements, user retention gains, and shipped features that reached real users at scale
  • Embed Speechify-relevant technical keywords naturally throughout your resume — text-to-speech, speech synthesis, Electron, cross-platform, audio processing, AI/ML — to clear Greenhouse's keyword filters
  • Prepare for practical technical assessments that mirror Speechify's actual product challenges rather than abstract algorithm puzzles — practice building performant UIs, audio pipelines, or desktop app architectures
  • Connect authentically to Speechify's accessibility mission in every conversation — share how you've used TTS tools, built accessible products, or care about making information available to everyone
  • Demonstrate shipping velocity in your interviews by structuring stories around tight timelines, autonomous decision-making, and measurable outcomes you personally drove
  • Follow up thoughtfully within 48 hours of each interview round with a concise email referencing specific topics discussed — Greenhouse tracks all candidate communications, keeping you top-of-mind

About Speechify

Speechify is a leading AI-powered text-to-speech platform that transforms how people consume written content by converting text into natural-sounding audio. Founded by Cliff Weitzman — who built the original tool to help manage his own dyslexia — the company has grown from an accessibility-first product into a comprehensive AI audio suite used by millions worldwide. Speechify's product ecosystem now spans browser extensions, mobile apps, desktop applications, an AI voice studio, and audiobook generation tools, positioning it at the intersection of AI, accessibility, and consumer productivity. The company operates with a startup mentality despite its massive scale of hiring, emphasizing speed, ownership, and a mission-driven culture rooted in making information more accessible. Speechify has attracted significant venture capital backing and has been recognized as one of the fastest-growing apps in its category. Engineers and product builders are drawn to Speechify for the opportunity to work on cutting-edge AI and speech synthesis technologies that directly impact millions of daily users. Culture at Speechify tends to be fast-paced, builder-oriented, and remote-friendly, with roles distributed across numerous U.S. cities. The company values individuals who are self-starters, deeply technical, and passionate about shipping products that solve real human problems. With over 2,000 active job postings spanning core engineering, desktop applications, and platform experiences, Speechify is in an aggressive growth phase — making this a pivotal moment for candidates who want to join a company scaling AI technology at consumer-grade speed and quality.

Application Process

  1. 1
    Explore Speechify's Greenhouse Job Board

    Navigate to Speechify's careers page, which is powered by Greenhouse. With over 1,484+ open roles, use the search filters to narrow by team (e.g., Core Experiences, Windows/Desktop Applications), location, and seniority level. Read each job description carefully — Speechify tends to post location-specific listings for similar roles, so choose the posting that matches your geographic preference.

  2. 2
    Submit Your Application Through Greenhouse

    Complete the Greenhouse application form, uploading your resume and filling in all required fields. Speechify's application typically asks for your LinkedIn profile, personal website or portfolio, and may include role-specific screening questions about your experience with relevant technologies like speech synthesis, desktop app development, or cross-platform frameworks. Incomplete applications are commonly deprioritized by ATS scoring.

  3. 3
    Initial Resume and Application Screening

    Speechify's recruiting team, aided by Greenhouse's screening tools, reviews applications for alignment with the role's technical requirements. Given the high volume of postings and likely applicant volume, this stage filters heavily on keyword relevance, years of experience, and evidence of working on consumer-facing products at scale. Expect this phase to take one to three weeks depending on the role's urgency.

  4. 4
    Recruiter Phone Screen

    Candidates who pass the initial screen typically have a 20-to-30-minute call with a recruiter or talent partner. This conversation commonly covers your background, interest in Speechify's mission, salary expectations, availability, and a high-level overview of your technical experience. Be prepared to articulate why you're drawn to AI audio technology and what excites you about Speechify's product suite.

  5. 5
    Technical Assessment or Take-Home Challenge

    For senior engineering roles, Speechify commonly includes a technical evaluation — either a live coding session or a take-home project. Given the company's focus areas, expect challenges related to building performant UI components, working with audio processing pipelines, desktop application architecture (for Windows/Desktop roles), or full-stack web development. Demonstrating clean, production-ready code with attention to user experience is typically valued over brute-force algorithm solutions.

  6. 6
    Technical and Team Interviews

    Expect two to three technical interviews with engineering team members and possibly a hiring manager. These rounds typically dive deeper into system design (especially around audio streaming, real-time processing, or cross-platform architecture), code review discussions, and behavioral questions about ownership and shipping velocity. Speechify's engineering culture emphasizes building quickly and iterating, so be ready to discuss how you've shipped features under tight timelines.

  7. 7
    Final Interview and Offer Stage

    The final round may include a conversation with a senior leader or co-founder, focusing on culture fit, long-term vision alignment, and your ability to thrive in a high-autonomy environment. If selected, Speechify typically extends offers through Greenhouse's offer management system. Compensation packages at growth-stage AI companies commonly include base salary, equity, and benefits — review the full package carefully before responding.

Resume Tips for Speechify

critical

Lead with Consumer-Facing Product Experience

Speechify builds products used by millions of everyday consumers, not enterprise clients. Your resume should prominently feature experience building, scaling, or maintaining consumer-facing applications — especially mobile apps, browser extensions, or desktop software. Quantify impact with metrics like DAU/MAU growth, app store ratings, load time improvements, or user engagement lifts. If you've worked on products in the audio, accessibility, or AI space, make this unmissable in your first few bullet points.

critical

Highlight AI, ML, and Audio Technology Keywords

Greenhouse's ATS will parse your resume for relevant keywords that match the job description. For Speechify roles, strategically include terms like text-to-speech, speech synthesis, natural language processing, AI/ML models, audio processing, real-time streaming, WebSocket, Electron, and cross-platform development. Don't keyword-stuff — weave these naturally into your experience descriptions so both the ATS and human reviewers see immediate relevance.

critical

Emphasize Desktop and Cross-Platform Development for Windows Roles

Speechify's Windows/Desktop Application roles require specific expertise that distinguishes them from web-focused positions. If applying for these roles, prominently feature experience with Electron, Tauri, .NET/WPF, Win32 APIs, or similar desktop frameworks. Mention performance optimization for desktop environments, auto-update mechanisms, OS-level integrations, and offline functionality. This specificity signals that you understand the unique challenges of desktop development versus web or mobile.

recommended

Demonstrate Shipping Velocity and Ownership

Speechify's culture prizes engineers who ship fast and take full ownership of features from concept to production. Structure your resume bullets to emphasize speed and autonomy: 'Led end-to-end development of [feature] in [timeframe], resulting in [measurable outcome].' Avoid descriptions that make you sound like a cog in a large machine — instead, highlight moments where you drove decisions, unblocked yourself, and delivered results independently or with small teams.

recommended

Use Clean, ATS-Friendly Formatting

Greenhouse parses resumes effectively but can struggle with overly complex layouts. Use a single-column format with standard section headers (Experience, Education, Skills, Projects). Avoid tables, multi-column layouts, headers/footers with critical information, or embedded images. Save your file as a .pdf with selectable text — not a scanned image. Keep your resume to one or two pages, with the most relevant experience occupying the top third of the first page.

recommended

Include a Concise Technical Skills Section

Create a dedicated skills section listing your programming languages, frameworks, tools, and platforms. For Speechify roles, prioritize technologies commonly found in their stack — TypeScript, React, Node.js, Python, Swift, Kotlin, Electron, cloud platforms (AWS/GCP), and CI/CD tools. Organize skills by category (Languages, Frameworks, Tools, Platforms) to improve both human scannability and ATS keyword matching.

nice_to_have

Showcase Passion Projects or Open-Source Work in AI/Audio

If you've built personal projects, contributed to open-source libraries, or experimented with TTS models, voice cloning, or audio processing tools — include them. Speechify was born from a personal passion project, and the company tends to resonate with builders who tinker outside of work. A side project involving speech synthesis or accessibility tech can differentiate you from candidates with similar professional experience.

recommended

Tailor Your Resume to the Specific Speechify Role

With over 1,484+ open positions, Speechify posts many similarly titled roles differentiated by team and location. Don't submit a generic resume — adjust your summary, top bullet points, and skills emphasis to match whether you're applying for Core Experiences (user-facing features, platform growth) versus Windows/Desktop Applications (native app development, OS integration). Mirror the language used in the specific job description you're targeting.

ATS System: Greenhouse

Greenhouse is a structured hiring platform used by Speechify to manage its large volume of open roles and candidate pipelines. It scores and ranks applicants based on resume keyword matching, screening question responses, and recruiter-defined criteria. With over 2,000 active Speechify postings flowing through Greenhouse, standing out requires deliberate optimization of your application materials for both automated parsing and human review.

  • Mirror exact phrases from the Speechify job description in your resume — Greenhouse uses keyword matching to surface relevant candidates, and Speechify's postings contain specific technical terms you should echo
  • Complete every field in the Greenhouse application form, including optional ones like LinkedIn URL and portfolio links — completeness signals professionalism and improves your candidate score
  • Submit your resume as a .pdf with selectable, machine-readable text — avoid scanned images, which Greenhouse's parser cannot extract text from
  • Avoid tables, multi-column layouts, graphics, or unusual fonts in your resume — Greenhouse handles clean, single-column formats most reliably
  • Use standard section headers like 'Work Experience,' 'Education,' 'Skills,' and 'Projects' so Greenhouse's parser correctly categorizes your information
  • Apply to the specific location-based listing that matches your situation — submitting to multiple identical-sounding roles may trigger duplicate application flags in Greenhouse
  • Answer any screening questions thoroughly and specifically — Greenhouse allows recruiters to score these responses, and they often serve as the first true filter before resume review

Complete Greenhouse Resume Guide →

Interview Culture

Speechify's interview culture reflects its identity as a fast-moving, builder-centric AI company.

Interviews tend to prioritize practical engineering ability, product intuition, and cultural alignment with a high-autonomy, high-output environment over theoretical computer science trivia. Expect a process that moves relatively quickly compared to large tech companies — Speechify values speed in hiring just as it values speed in shipping products. The typical interview loop for senior engineering roles at Speechify commonly spans three to four rounds. After the initial recruiter screen, you'll likely face a technical assessment that tests your ability to write clean, production-quality code relevant to Speechify's product areas — think audio processing, UI rendering performance, or cross-platform application logic rather than abstract LeetCode problems. For Windows/Desktop roles, expect architecture discussions around desktop frameworks, OS-level integrations, and performance profiling. Subsequent rounds typically involve one-on-one or small-panel conversations with engineering team leads and cross-functional collaborators. System design interviews at Speechify are likely to center on real-world scenarios: designing a scalable TTS pipeline, architecting a browser extension for content extraction, or building an offline-capable desktop application. These discussions reveal whether you can think holistically about the user experience, not just the backend logic. Culture fit signals that Speechify commonly looks for include: a genuine passion for making information more accessible, comfort with ambiguity and fast-changing priorities, a bias toward action over excessive planning, and enthusiasm for AI-driven products. Since the company was founded to solve a deeply personal problem (dyslexia), candidates who connect authentically with the mission tend to stand out. During behavioral questions, emphasize moments where you took initiative, shipped something impactful under constraints, or championed user needs. Don't be afraid to share your own experience with text-to-speech tools, accessibility technology, or AI products you admire — personal connection to the mission resonates strongly in Speechify's hiring culture.

What Speechify Looks For

  • Deep experience building consumer-facing applications used by large user bases — Speechify serves millions of users, and they need engineers who understand the stakes and nuances of consumer-grade product quality
  • Proficiency in modern web and/or desktop technologies relevant to Speechify's stack, including TypeScript, React, Electron, Swift, Kotlin, or Python — with demonstrated ability to ship production code, not just prototype
  • Genuine passion for AI, speech synthesis, and accessibility technology — candidates who have personal or professional experience with TTS, voice AI, or assistive tools are particularly compelling
  • Strong sense of ownership and ability to operate autonomously — Speechify's engineering culture empowers individuals to drive features end-to-end without waiting for permission or detailed specifications
  • Comfort working at startup speed with evolving priorities — the ability to ship MVPs quickly, iterate based on user feedback, and context-switch between projects without losing momentum
  • Product-minded engineering thinking — the ability to make smart trade-offs between technical perfection and user impact, and to proactively suggest improvements rather than just executing tickets
  • Excellent communication skills for a distributed team — since roles are spread across many U.S. cities, clear written communication, proactive status updates, and self-management in a remote or hybrid environment are essential

Frequently Asked Questions

How long does Speechify's hiring process typically take from application to offer?
Based on patterns common at high-growth AI companies using Greenhouse, Speechify's hiring process typically takes two to four weeks from initial application to offer for senior engineering roles. The recruiter screen usually happens within the first week if your application is shortlisted, followed by a technical assessment and two to three interview rounds over the subsequent one to two weeks. However, given the volume of open roles (2,000+), timelines can vary — some positions may move faster due to urgent hiring needs, while others could take longer during high-application-volume periods. Proactively following up with your recruiter through Greenhouse-tracked email can help keep your candidacy progressing.
Should I submit a cover letter when applying to Speechify?
While Greenhouse allows cover letter uploads, Speechify — like many fast-moving tech companies — may not require them for engineering roles. That said, a concise, well-crafted cover letter can differentiate you, especially if you have a personal connection to Speechify's mission. If you choose to include one, keep it under 250 words and focus on: why Speechify's accessibility mission resonates with you, one or two specific technical achievements that align with the role, and what excites you about their product. Avoid generic cover letters — reference Speechify's specific products (the Chrome extension, AI voice studio, or desktop app) to show genuine familiarity.
What resume format works best with Speechify's Greenhouse ATS?
Submit a clean, single-column PDF with selectable text and standard section headers. Greenhouse parses reliably when you use conventional formatting — avoid tables, infographics, multi-column layouts, and text embedded in images. Keep your resume to one or two pages, with your most relevant consumer product and AI/audio experience in the top third. Use a standard professional font (Arial, Calibri, or similar) at 10-11pt. Include a dedicated technical skills section so Greenhouse can easily extract and match your competencies against Speechify's role requirements.
Does Speechify offer remote work, or do I need to be in a specific location?
Speechify's job postings span dozens of U.S. cities — from West Valley City to Toledo to Coral Springs — which strongly suggests a distributed or remote-friendly work model. Many applicants report that Speechify operates with significant geographic flexibility, consistent with the broader trend among AI and consumer tech companies. However, specific roles may have location preferences or hybrid expectations, so read the individual job description carefully and clarify work arrangement details during your recruiter screen. Applying to the posting that matches your actual location (or closest to it) is advisable to avoid confusion in Greenhouse's candidate routing.
What level of experience does Speechify expect for Senior Software Engineer roles?
Senior Software Engineer postings at Speechify typically target candidates with five or more years of professional software development experience, with a strong emphasis on hands-on coding and shipping consumer-facing products. However, Speechify's startup culture means that demonstrated impact and technical depth can sometimes outweigh raw years of experience. If you have three to four years of experience but have shipped impactful features at scale, led projects independently, or have deep expertise in relevant areas like desktop app development or AI/audio technology, your application may still be competitive. Frame your resume around outcomes and ownership rather than just tenure.
How can I stand out among thousands of applicants for Speechify roles?
With over 2,000 active postings generating significant applicant volume, differentiation is crucial. Three strategies work well: First, tailor your resume specifically to Speechify's domain — highlight any experience with text-to-speech, audio processing, accessibility tools, or AI products, even if it was a side project. Second, demonstrate product thinking in your application — don't just list technical skills, but show how you used them to improve user experiences and drive metrics. Third, engage with Speechify's product before applying. Download the app, use the Chrome extension, and reference specific observations in your cover letter or interview conversations. Hiring teams notice when candidates have genuine product familiarity versus surface-level knowledge.
What technical skills should I emphasize for Speechify engineering roles?
This depends on the specific team. For Core Experiences roles, emphasize full-stack web development (TypeScript, React, Node.js), mobile development (Swift, Kotlin), API design, and experience with real-time features or streaming data. For Windows/Desktop Applications roles, highlight expertise in Electron, Tauri, .NET, WPF, or similar desktop frameworks, along with performance optimization, OS-level integrations, and offline-first architecture. Across all roles, experience with AI/ML systems, cloud infrastructure (AWS or GCP), CI/CD pipelines, and audio processing technologies will be highly relevant to Speechify's product stack.
How should I prepare for Speechify's technical interviews?
Prepare by focusing on practical, product-relevant engineering challenges rather than purely theoretical exercises. Practice system design around real-time audio streaming architectures, scalable API design for consumer products with millions of users, and cross-platform application architecture. For coding rounds, expect problems that test your ability to write clean, maintainable, production-quality code — not just algorithmically optimal solutions. Review Speechify's product suite in depth: understand how their Chrome extension extracts and processes text, how their TTS engine works at a high level, and what user experience challenges exist in delivering natural-sounding audio across platforms. Being able to discuss these intelligently will set you apart.
Can I apply to multiple Speechify roles simultaneously on Greenhouse?
While Greenhouse technically allows you to submit applications to multiple roles, applying indiscriminately to many Speechify postings can work against you. Recruiters can see all your applications in Greenhouse's candidate profile, and applying to ten similar-sounding roles across different cities may signal a lack of focus or desperation rather than genuine interest. Instead, identify the one or two roles that best match your skills and location preference, and invest the time to tailor each application specifically. If you're genuinely qualified for both a Core Experiences and a Windows/Desktop role, applying to one of each with customized resumes is reasonable — but avoid submitting the same generic resume to dozens of listings.

Sample Open Positions

Check Your Resume Before Applying → View 1484 open positions at Speechify

Related Resources

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Sources

  1. Speechify Careers Page — Speechify
  2. Speechify Company Profile and Reviews — Glassdoor
  3. Greenhouse Recruiting - How It Works for Candidates — Greenhouse Software
  4. Speechify - About Us — Speechify