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DeepgramActive opening

Staff Web Engineer, Marketing

USA - Remote

Annual salary
$150,000–$190,000
USD · per year
Workplace
Remote
Listed by employer
Experience level
Staff
Based on the job title
AgentsLLMInfrastructureBackend
Apply at Deepgram ↗Continue to the employer’s application form.

About the role

Staff Web Engineer Marketing

About the role

Deepgram builds foundational voice AI and deepgram.com is where the world meets it. The site is our digital front door, showcasing our products, brand moments, and pricing information, and it drives the company's self-serve revenue.

We're hiring a Staff Web Engineer to own the site's code for the long haul. Deepgram.com is entering its next chapter. We are fully refreshing the experience top to bottom. You'll be the person who knows the site inside out. You'll own the repo, the architecture, the Sanity environments, and the QA bar — and act as the code-review gate for day-to-day page and content work. The team is small but scaling. You will be working on the Web team reporting into the Head of Brand & Awareness and closely collaborating with our Senior Web Manager, product, marketing, sales, and external development partners.

Most critically, as an AI company, you must be AI-native. Agents and AI tooling are your go-to in how you choose to build, review, and QA. We are aiming to build a machine-first, voice-first site experience. It’s an exciting time to join the web team.

What you'll do

  • Own the deepgram.com codebase end to end — the Next.js application (front and back end), the GitHub repo, branching and CI/CD, and code review

  • Optimize and maintain Sanity CMS architecture — schemas, the reusable module library, the staging and production environments and publishing workflow

  • Run the global design system, component library, Vercel platform and spearhead AI integrations. Experienced with global CSS systems.

  • Build and run the site's QA program — starting with a well-structured and scalable staging environment that keeps a marketing site launch-ready at all times

  • Lead internationalization and localization efforts — language-locale URL and routing architecture, hreflang, and the path from i18n plumbing to localized (l10n) content

  • Assist in technical SEO — site architecture, redirects, Core Web Vitals — with on-page SEO executed by content partners inside your review gate

  • Ensure LLM discoverability (AEO) — the site's structured data, metadata, and content architecture must serve answer engines as well as people

  • Technical infrastructure for experimentation — develop the mechanisms to support the site's experimentation program

  • Marketing Ops partnership — implementation of forms, gated content, and attribution instrumentation (GTM, GA4, HubSpot)

  • Cybersecurity posture — maintain security and run routine safety audits across dependencies and scripts

  • High-velocity shipping — ship complex site improvements and launch campaign pages in a product-driven atmosphere

  • AI-native workflow — use agents in your daily build process and create tooling for safe marketing publishing

We are looking for candidates with

  • Marketing web development background — ownership of marketing sites, not just product surfaces

  • Enterprise repository ownership: branching strategy, CI/CD, and a strong code-review culture

  • Headless CMS architecture — Next.js with Sanity strongly preferred

  • Modern React ecosystem for the web

  • Vercel as a production platform

  • AI-native development — ability to demonstrate concrete use of AI agents and tooling in your workflow

  • High level of ownership & accountability — a hand raiser who’s ready to join an ambitious team and company

  • Technical leadership — directing or reviewing the work of agency developers

Our ideal candidates also have

  • Prior experience with internationalization (i18n/l10n): URL architecture, locale routing, and multi-region infrastructure

  • Familiarity with A/B testing on production marketing sites

  • Interest in voice AI and the future of voice-interactive web experiences

Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Compensation

$150K – $190K • Offers Equity • Offers Bonus • 10% Bonus

  • San Francisco, NYC, Seattle: $165k-$210k Base Salary Anywhere else: $150K – $190K • Offers Equity • Offers Bonus • 10% Bonus

    10% Bonus

Employer’s published ranges and benefits. Equity and bonuses are separate from annual salary; ranges may vary by location.

About Deepgram & working hereCompany background, benefits and hiring guidance

Company Overview

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

Company Operating Rhythm

At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.

Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.

Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

Source: official Deepgram career page via Ashby.View original posting ↗