Full-Time

Senior Frontend Engineer

Marketing Website

Synthesia

Synthesia

501-1,000 employees

AI-driven video creation platform for enterprises

No salary listed

London, UK

Hybrid

Remote work is available in London or elsewhere in Europe, subject to compliance and right-to-work checks.

Category
Software Engineering (1)
Required Skills
Tailwind CSS
Figma
SQL
SEO
TypeScript
AWS
Serverless
Data Analysis
HTML/CSS

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Requirements
  • At least five years of experience as a software engineer, including three years at senior level, building front end for content-driven or marketing platforms.
  • Real ownership of a content model in Sanity, including designing schemas, choosing between references and embedded objects, deciding when variants belong in the schema versus at runtime, and controlling section-library growth; familiarity with GROQ and Portable Text.
  • Deep front-end expertise in HTML, CSS, and TypeScript, with strong command of component API design and the developer experience of a shared library.
  • Ability to work end to end across server-side and front-end systems, including SSR, serverless and edge runtimes, API routes, a SQL database, secrets, and CI.
  • Solid understanding of responsive design, cross-browser compatibility, and web performance, with ability to build to WCAG 2.2 AA.
  • Accountability for marketing-site performance, SEO, analytics events, and conversion metrics.
  • Strong sense of craft and attention to detail, with judgment to balance design intent against engineering constraints.
  • Strong communication and collaboration skills, including explaining reasoning, reviewing code, and helping level up colleagues.
Responsibilities
  • Build, scale, and evolve the section library using Astro components, Sanity schemas, and design tokens for consistent and accessible marketing pages.
  • Own the content model and design schemas that enable editors and agents to build correct pages by construction.
  • Take Figma component specifications through production with responsive behavior across mobile, tablet, and desktop, accessibility by default, and precise adherence to design intent.
  • Extend the platform for AI-assisted development so coding agents can generate on-brand, on-spec sections from design specifications.
  • Own SEO integrity, including canonicals, sitemaps, structured data, redirects, and preventing traffic declines at launch.
  • Raise engineering standards across the website through thorough code review, reusable patterns, and tests for failure-prone areas.
  • Maintain and extend localisation across nine locales and the translation pipeline.
  • Shape the technical direction of the website platform over the next six to twelve months and champion adoption among content publishers.
Desired Qualifications
  • Prior experience working on a large SaaS marketing website with substantial traffic and operational stakes.
  • Experience with Astro or another islands or static-site framework.
  • Experience with Cloudflare Workers or another edge or serverless platform.
  • Experience with AWS Lambda.
  • Experience with Tailwind CSS version 4 and token-based design systems.
  • Experience or strong interest in making component libraries and content models consumable by AI agents.
  • Strong design sensibility and the judgment to improve design decisions rather than only implement them.
  • Experience with localisation and internationalisation at scale for a global audience.
  • Experience implementing analytics and tag management, including dataLayer events, server-side tagging, and accurate attribution without harming performance.

Synthesia is an AI-powered video generation platform that turns text into videos using realistic avatars, eliminating the need for cameras or actors. It operates on a B2B SaaS model with a library of avatars, support for 160+ languages, and features like templates, collaboration, and analytics. For enterprise customers, it offers custom avatars and voice cloning to keep brand consistency while emphasizing content governance and compliance. Its goal is to democratize video creation, grow globally, and develop conversational AI tools for interactive corporate learning.

Company Size

501-1,000

Company Stage

Series E

Total Funding

$549.8M

Headquarters

London, United Kingdom

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • The January 2026 $200 million round valued Synthesia at $4 billion, funding expansion.
  • June 8 2026 UK government MoU opens public-sector training and credibility across Britain.
  • Roleplay Sessions already tests with major European and Fortune 100 customers, validating enterprise demand.

What critics are saying

  • Google Vids added personal avatars on July 16 2026, bundling Synthesia’s core feature.
  • Alphabet’s GV led Synthesia’s January 2026 round, creating investor-conflict pressure during direct competition.
  • If Workspace bundling compresses renewals, Synthesia becomes a premium feature, not a category leader.

What makes Synthesia unique

  • Synthesia’s 2026 moat is enterprise workflow depth across 90% of Fortune 100 customers.
  • Roleplay Sessions, launched July 22 2026, extends videos into measurable practice and coaching.
  • Kaltura partnership since 2025 keeps Synthesia focused on creation while others handle distribution.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Stock Options

Hybrid Work Options

Paid Vacation

Paid Sick Leave

Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

-1%
The Agent Times Inc.
Aug 14th, 2026
Synthesia's $4B AI coaching tool scores employee performance in real-time roleplay sessions

Synthesia promoted its Roleplay Sessions product on X on 14 August 2026. The interactive AI coaching tool lets employees practice workplace conversations with AI avatars that respond in real time and score performance against employer-defined rubrics. The London-based company launched the product on 22 July 2026, three weeks before the X promotion. Roleplay Sessions marks a shift from Synthesia's core business of generating one-way AI videos to two-way conversational simulation. The product enables practice scenarios including sales calls and performance reviews. The AI avatars listen, respond dynamically, and generate analytics on skill development. Synthesia has reportedly raised $200 million in a Series E funding round at a $4 billion valuation. The product expansion into real-time conversational AI requires different infrastructure than the company's original video generation business.

North America Entry
Jul 31st, 2026
When white-labeling with a larger U.S. Vendor is the wrong move for your AI or software company (and what fits better).

When white-labeling with a larger U.S. Vendor is the wrong move for your AI or software company (and what fits better). White-labeling your software through a larger U.S. vendor is one of the fastest ways for an AI or software company outside North America to reach American customers - but it is the wrong move as often as it is the right one. It's wrong when your brand is the product, when you need a direct relationship with the customer and their data, or when the revenue-share math quietly erases your margin. Before you chase a white-label deal, run your company through the checks below. The pull toward the United States is real. The AI SaaS market is projected to grow from about $30.33 billion in 2026 to $367.6 billion by 2034 - a 36.59% compound annual growth rate - and most of that demand sits in the U.S. That gravity is already visible: in 2026, AI video platform Synthesia committed more than $25 million to expand its own offices across the U.S. and Europe, adding Austin on top of its New York hub. Notice what a brand-forward company like that did - it scaled a direct presence under its own name rather than disappearing inside someone else's product. For some companies, that is exactly the right instinct. When white-labeling with a larger U.S. vendor is the wrong move. Start with brand. If your name is the reason customers buy - if you're building a category-defining product that should stand on its own - then handing the customer relationship to a larger U.S. vendor and shipping under their label works against everything you're trying to build. You'd be renting distribution at the cost of the brand equity you most need. Next, the customer relationship and the data. White-label and "powered by" arrangements usually put the U.S. vendor between you and the end user. If your roadmap depends on talking to customers directly, on first-party usage data to train your models, or on expansion revenue you control, that layer is a problem, not a convenience. Then the margin math. A reseller or revenue-share structure can be perfectly healthy, but only if the numbers survive contact with reality. If the vendor's cut, combined with the support and integration you still have to fund, leaves you thinner than a direct motion would - and you have the capital to run direct - white-label is the expensive option dressed up as the cheap one. Finally, readiness. White-labeling is not a shortcut around product maturity. If your software isn't stable, secure, and documented enough for another company to stake its own brand on, no U.S. vendor will embed it - and forcing the deal early damages the relationship you'll want later. What fits better when the answer is "no" A "no" on white-label is not a "no" on the U.S. market. It usually points to one of three better-fitting motions. If your brand and direct customer relationships matter most, a direct U.S. sales motion - or a lean, partner-supported version of one - may be right, and the honest tradeoffs between strategic partnering versus direct sales in North America are worth weighing before you commit. If you want a partner's reach without giving up your name, a co-sell or embedded "powered by" arrangement keeps your brand visible while a larger vendor opens doors. The differences between white-label, "powered by," and platform-of-choice deals are bigger than they look, and choosing the wrong structure is how good products end up in the wrong relationship. And if white-labeling genuinely does fit - many AI and software products qualify beautifully - the real question becomes which of your products actually qualifies for a white-label partnership and how to white-label your software into the U.S. market. The point is to choose the motion your company is actually built for, not the one that sounds fastest. How North America Entry helps you decide - and then execute. This is the decision North America Entry is built to run with you. North America Entry is a fractional go-to-market firm that helps AI and software companies outside North America enter the U.S. market through the right partnership - white-label, "powered by," platform-of-choice, or a direct motion when that's the honest answer. North America Entry has helped a client grow from $25K to $3M in ARR with 90% of revenue coming through partners, closed six Tier-One and two white-label partnerships in under two years, and triggered eight M&A cycles along the way. North America Entry has met with more than 80% of the major North American software vendors in the last two years, so North America Entry can tell you quickly whether a vendor path exists for your product - or whether you're better off building direct. Deciding between a fractional GTM operator and a full-time VP of Sales is its own question worth thinking through. Its model is simple: $100/hour plus commission on closed revenue only, so its success is tied to yours. If you have an AI or software product and you're weighing whether white-labeling with a larger U.S. vendor is right for you, let's map it out together. Frequently asked questions. When is white-labeling with a larger U.S. vendor the wrong choice for an AI or software company? It's the wrong choice when your brand is the product, when you need direct customer relationships or first-party data to grow, when the revenue-share math leaves you thinner than a direct motion would, or when your software isn't yet mature enough for another U.S. vendor to stake its brand on. In those cases a direct or co-sell motion usually fits better. If white-label isn't right, how else can North America Entry enter the United States? The two most common alternatives are a direct U.S. sales motion (often lean and partner-supported at first) and a co-sell or "powered by" arrangement that keeps your brand visible while a larger vendor opens doors. The right one depends on how much your brand, your data, and your margins matter. How do North America Entry know if its software actually qualifies for white-label? It comes down to product maturity, security, documentation, and clear fit inside a larger vendor's offering. North America Entry can assess your product against those criteria and tell you honestly whether a white-label path exists or whether another motion into North America and the United States fits better.

Kaltura
Jul 28th, 2026
Kaltura vs Synthesia (2026): competitors or complementary?

Kaltura vs Synthesia (2026): competitors or complementary? Most discussions about Kaltura and Synthesia start with the wrong assumption: that they solve the same problem. They don't. Synthesia helps organizations create avatar videos. Kaltura helps organizations deliver, manage, govern, measure, and increasingly interact through those videos at enterprise scale. That's why the two companies partner. The real question isn't "Kaltura vs Synthesia." It's which layer of the experience you're trying to solve: content creation, enterprise delivery, or both. This guide breaks down what each does, where they overlap, and how to choose. Kaltura vs Synthesia at a glance. Best described as Enterprise agentic video experience platform AI avatar video generation tool Manage, distribute, and make video and avatars interactive Turn a script into a hyper-realistic avatar video Real-time agentic avatars + avatar video production Hyper-realistic script-to-video avatars Primary interaction model Real-time conversations Scripted video experiences (interactive video added 2026) Platform scope Webinars, events, portals, LMS-style learning, analytics Avatar video creation and editing Governance Enterprise-grade, platform-wide Strong enterprise controls for video creation 30+ (agentic avatars) 140+ (video generation) Custom / enterprise (sales-led) From ~$22/user/month, scaling to enterprise Relationship Partner with Synthesia since 2025 Partner with Kaltura since 2025 Synthesia owns the creation layer; Kaltura owns the platform and interaction layer. They meet in the middle, which is exactly why they partner. What is Synthesia? Synthesia, founded in 2017, is one of the most established enterprise AI avatar video tools. Its strength is turning a written script into a polished, hyper-realistic presenter video in minutes, with strong lip-sync, natural delivery, and 140+ languages. It's widely used for corporate training, onboarding, compliance, and multilingual internal communications, and is known for enterprise-ready collaboration, review, and governance features. Pricing starts around $22/user/month and scales to enterprise. In 2026, it also added interactive video capabilities. If your goal is to turn scripts into professional avatar videos quickly, Synthesia is one of the strongest products in the category. What is Kaltura? Most organizations don't struggle to create video. They struggle to manage everything that happens after the video is published: distribution, governance, engagement, analytics, personalization, and interaction. Kaltura (Nasdaq: KLTR) is the Agentic Digital Experience company. It's an enterprise platform that spans video management, webinars, virtual events, video portals, and learning, with deep analytics and enterprise governance underneath. On top of that platform, Kaltura added real-time Agentic Avatars: two-way conversational AI video agents that understand intent, are grounded in your organization's knowledge, can see a user's screen and camera, and respond live. It also offers an Avatar Video Production Studio for turning enterprise knowledge into avatar-led videos. Where Synthesia focuses on creating the avatar video, Kaltura focuses on the surrounding experience: distributing it at scale, managing it, measuring engagement, and extending it into interactive, agentic conversations. Pricing is custom and enterprise, sales-led. The key point: They partner. Kaltura and Synthesia announced a partnership in 2025, and it remains active in 2026. The partnership exists because the two platforms solve different parts of the same workflow. Synthesia helps teams create avatar content. Kaltura helps them operationalize that content across learning, communications, events, customer engagement, and video experiences. Through this partnership, organizations using Kaltura's video platform can distribute Synthesia's avatar-based, AI-generated video content at scale. In practice, that means Synthesia handles hyper-realistic avatar video creation, and Kaltura handles management, distribution, engagement analytics, and interactive delivery. Early use spans healthcare, pharmaceuticals, technology, telecoms, and higher education, for enterprise training, onboarding, multilingual e-learning, and personalized marketing. The two products are designed to work together, not to replace each other. Where they overlap. The overlap is avatar video. The difference is everything around it. Kaltura has its own avatar video production and real-time agentic avatars, and Synthesia added interactive video in 2026. So both touch "avatars" and both serve enterprise training and communications. The distinction that still holds: Synthesia is creation-first (script to polished video), while Kaltura is platform-first (manage, distribute, govern, and make interactive across your entire video estate). How to choose. Choose Synthesia if... * Your primary goal is to produce avatar videos quickly. * You need multilingual script-to-video creation. * Your workflow starts and ends with video production. Choose Kaltura if... Use both if... * You want best-in-class avatar creation and enterprise-scale delivery. How Kaltura helps. If your goal is simply to produce avatar videos, Synthesia does that exceptionally well, and Kaltura partners with it for exactly that reason. Where Kaltura adds its own value is in everything that happens around and after creation. Kaltura's platform manages and distributes video at scale, measures engagement, and adds real-time, agentic avatars that turn one-way content into two-way conversations grounded in your organization's knowledge, all with enterprise security, compliance, and analytics. For organizations that want avatar video creation and a full enterprise experience platform, Kaltura is the layer that ties it together, and it works with Synthesia to do it. Most avatar videos are still monologues. They deliver information, but they can't respond when a viewer has a question. Kaltura's Agentic avatars change that dynamic. Instead of ending the interaction when the video finishes, they keep the conversation going, answering questions, providing guidance, and adapting to user intent in real time. Faq. Are Kaltura and Synthesia competitors? More complementary than competitive. They partner: Synthesia creates hyper-realistic avatar videos, and Kaltura manages, distributes, and makes them interactive. There is some overlap in avatar video, but they serve different layers of the stack. What is the difference between Kaltura and Synthesia? Synthesia is an AI avatar video generation tool that turns scripts into presenter videos. Kaltura is an enterprise agentic video platform for managing, distributing, and delivering interactive video and real-time avatars. Creation versus platform. Do Kaltura and Synthesia work together? Yes. Through their partnership, organizations using Kaltura's platform can distribute Synthesia's avatar videos at scale, combining Synthesia's avatar creation with Kaltura's management, distribution, and engagement capabilities. Which is better for enterprise training? For creating training videos quickly across many languages, Synthesia is excellent. For delivering, managing, securing, and adding interactive avatars across your organization, Kaltura is the platform. Many teams use both. Which has real-time interactive avatars? Kaltura's Agentic Avatars are built for real-time, two-way conversation grounded in your knowledge. Synthesia focuses on generated avatar videos and added interactive video in 2026. How much do they cost? Synthesia starts around $22/user/month and scales to enterprise. Kaltura uses custom, enterprise pricing reflecting a full platform with integration, governance, and support. Can I use Synthesia avatars inside Kaltura? Yes. The partnership is designed so Synthesia's AI-generated avatar content can be distributed and managed through Kaltura's video platform at scale. Topics. Was this post useful? Immanuel vinikas. Immanuel is Kaltura's Content Marketing Manager and a tech industry writer with a passion for all things video and online marketing.

TechCrunch
Jul 22nd, 2026
Synthesia launches AI roleplay tool to prove enterprise training actually works

Synthesia has launched Roleplay Sessions, an interactive training product that lets employees practise high-stakes conversations with an AI avatar that responds and scores their performance. The British startup is positioning the product as the first release under a broader "Sessions" platform that will expand into job interviews and candidate screening. The launch marks a strategic shift for Synthesia from creating training videos to proving training effectiveness through measurable outcomes. By adding rubrics, performance data, and analytics, the company is positioning itself less as an AI avatar firm and more as a performance-management platform. Synthesia already has several major clients testing Roleplay, including a top-three European company by market cap and a Fortune 100 firm. The most popular use cases involve training sales teams and leadership in soft skills.

Business Model Analyst
Jul 17th, 2026
Google enters the AI avatar market its own VC arm funded.

Google enters the AI avatar market its own VC arm funded. Google Vids can now turn a selfie into a talking digital you. That puts Google head-to-head with Synthesia, a startup its own venture arm valued at $4 billion six months ago. On July 16, Google added personal AI avatars to Google Vids, letting anyone build a talking digital clone from a selfie and a voice clip. The feature drops Google straight into the enterprise AI video market led by Synthesia and HeyGen. The twist: Google Ventures led Synthesia's $4 billion round in January. There is a specific kind of awkward that happens when your landlord opens a shop next door selling exactly what you sell. That is roughly where Synthesia sits this week. What happened. Google announced that Google Vids, its AI video tool inside Google Workspace, now lets users create a custom digital avatar that looks and sounds like them, generated from an uploaded selfie and a voice recording. Google is also bringing Gemini Omni, its multi-modal model, into Vids, so users can build videos from a written prompt plus reference images, swap backgrounds, fix lighting, and make step-by-step edits without starting over. Google is putting guardrails on the avatar feature. Each avatar is tied to the account holder's likeness and Google account, watermarked invisibly with SynthID, and restricted to users aged 18 and up in select regions. That is a deliberate contrast to OpenAI's Sora, the deepfake-friendly video app that shut down in March 2026. The strategic read is simple. Vids started as an AI presentation helper bolted onto Workspace. With avatars and conversational editing, it becomes an all-in-one video platform, and it lands in the same market as HeyGen, Synthesia, Captions, and D-ID. The backstory. The AI avatar video category grew up fast and got expensive to compete in. Synthesia, founded in London in 2017, raised a $200 million Series E in January 2026 at a $4 billion valuation, nearly double its $2.1 billion mark a year earlier. It reports roughly $150 million in annual recurring revenue and says more than 90% of the Fortune 100 use its platform for training and internal communications. HeyGen took the opposite path. The Los Angeles company hit around $200 million in ARR while raising only about $74 million total, staying cash-flow break-even and carrying a modest $500 million valuation. Between them, the two independents built a category worth hundreds of millions in recurring revenue by charging businesses $29 to $299 a month for synthetic presenters. Here is the detail that makes this a business model story and not a product update. Google Ventures, Alphabet's venture arm, led Synthesia's $4 billion round. Google is now simultaneously an investor in the category leader and a direct competitor to it. The plan. Google is not trying to win this market by being the best avatar tool. It is trying to win it by being the default one. Synthesia and HeyGen have to sell their product one enterprise contract at a time. Google can switch a feature on inside Workspace, which already sits on the desktops of billions of users and a large share of the businesses these startups are chasing. The pitch writes itself: you already pay for Workspace, so why buy a separate seat at Synthesia when Vids makes the company update video for free. That is the classic platform-bundling playbook Google has run before, from Meet against Zoom to Workspace against Microsoft. It rarely produces the best standalone product. It reliably produces the one most people end up using because it is already there. The business model angle. Google does not make money selling Vids. Google makes money keeping you inside Google. Vids is a retention feature for Google Workspace, not a revenue line of its own, which means Google can afford to give away something Synthesia has to charge for to survive. When your core business is a $402.8 billion advertising and cloud machine, a video avatar tool is a moat-widener, not a P&L. That asymmetry is the whole threat. Synthesia's $4 billion valuation assumes it can keep charging enterprises premium prices for AI presenters. HeyGen's lean model assumes the same demand at a lower price. Google bundling a good-enough version into a subscription businesses already own attacks the price both models depend on. You do not have to beat a startup's product to damage its pricing power. You just have to make the category feel like a feature instead of a purchase. The counter-case, and it is real, is that enterprise buyers do not pick tools on price alone. Synthesia's value sits in 90%-of-the-Fortune-100 workflows, compliance, avatar libraries, and localization at scale, the boring integration depth that a bundled Workspace feature will not match for years. Google's history of shipping and then quietly abandoning products does not help its enterprise credibility either. Bundling pressures the low end of a market. It does not automatically capture the high end. The risk. The near-term risk is not that Google kills Synthesia. It is margin compression across the category. Once "make a talking avatar" is a checkbox in Workspace, the standalone tools have to justify their subscriptions on depth, quality, and trust rather than on access to the capability itself. That is a harder, lower-margin sale. For Google, the risk is reputational. Avatars are a deepfake vector, and the SynthID watermark plus likeness-locking is Google trying to avoid Sora's fate. If a Google-made avatar is misused at scale, the blast radius touches the whole Workspace brand, not just one app. And there is the genuinely strange governance question of Google competing with a company its own venture arm helped value at $4 billion. Alphabet has run investor-and-competitor conflicts before, but rarely this directly, and rarely this fast after writing the check. Quick questions. Is Google Vids free? Vids is part of Google Workspace, so it is bundled into existing Workspace subscriptions rather than sold separately. Access to the personal avatar feature is limited to users 18 and older in select regions. Does this kill Synthesia or HeyGen? Unlikely in the short term. Both have deep enterprise workflows Google will not match quickly. The bigger effect is pricing pressure as the basic avatar capability becomes a bundled feature rather than a standalone purchase. Why did Google invest in Synthesia and then compete with it? Google Ventures operates as a financial investor, and Alphabet frequently backs companies in markets its product teams also enter. It creates an obvious conflict, but it is a familiar pattern for large platform companies. What is Gemini Omni? Google's multi-modal AI model that turns text, images, and audio into video. Inside Vids it powers prompt-to-video generation, background swaps, lighting fixes, and step-by-step editing. The business model analyst take. The headline is "Google lets you star in AI videos." The real story is a platform owner deciding a $350-million-ARR category is worth absorbing as a free feature. That is the move that should worry Synthesia and HeyGen far more than any single product spec. This is the oldest pattern in Google's playbook, and one of the reasons it keeps showing up in its Google SWOT analysis under both strengths and antitrust threats. Google wins adjacent markets not by building the best tool but by making its version the one already installed. Distribution beats features when the feature is good enough, and "good enough" is a low bar for an internal company update video. The independents are not dead, but their pitch just got harder. "Buy our AI presenter" competes with "use the one you already have." The winners in this category will be the tools that are so deep in enterprise workflows that bundling cannot touch them, and the losers will be everyone selling a capability that Google just turned into a checkbox. Watch Synthesia's next enterprise renewal cycle. That is where you will see whether a $4 billion valuation survives its own lead investor becoming its competitor.