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Staff Web Engineer, Marketing

AI Summary
Deepgram is hiring a Staff Web Engineer to own the architecture, codebase, deployment workflow, and quality standards for deepgram.com. The role centers on a Next.js and Sanity-based marketing site, including CMS architecture, Vercel operations, CI/CD, design systems, and code reviews. This engineer will lead technical SEO, internationalization, analytics and marketing-operations integrations, experimentation infrastructure, and routine web security practices. The position works closely with brand, marketing, product, sales, and external agency developers while shipping complex improvements at a high pace. Strong practical use of AI agents and tooling throughout development, review, and QA is a core expectation.
Remote from
USA
Salary
USD 150k–190k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
10 Dec 2026
Listing views
28
Application actions
0
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Opportunity details

About this role.

Company Overview

Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

AI-First by Default

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. If you’re energized by experimenting, adapting, and learning constantly, you’ll thrive here. Expect your day-to-day to evolve as fast as the technology does.

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.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a staff-level ownership role spanning frontend and backend web engineering, CMS platform design, CI/CD, performance, SEO, localization, analytics, security, and technical leadership. The engineer is expected to set standards and maintain a launch-ready marketing platform in a rapidly evolving AI-focused environment.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$170,000
US market range (per year)$155k–$205k
AI insightThe employer discloses an annual base compensation range of $150,000–$190,000 USD. The midpoint is $170,000 per year; the estimated US market range for a staff-level marketing web engineer is $155,000–$205,000 annually.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you structure a Next.js and Sanity architecture for a large marketing site with frequent content releases?

I would separate reusable content schemas, presentation modules, and page composition models, with clear validation rules and version-controlled schema migrations. I would use preview environments, role-based publishing controls, and a staged release workflow so editors can validate content safely before production.

How have you improved Core Web Vitals on a content-heavy marketing website?

I begin with field data and synthetic profiling to identify the largest bottlenecks. Typical improvements include optimizing image delivery, reducing JavaScript and third-party scripts, using server rendering and caching appropriately, managing font loading, and setting performance budgets in CI.

What would your CI/CD and code-review process look like for deepgram.com?

I would use protected branches, required peer reviews, automated type checks, linting, tests, security scans, and preview deployments for every pull request. Production releases should have clear ownership, rollback capability, monitoring, and a lightweight release checklist for high-impact changes.

How would you implement internationalization for a marketing site that will expand into multiple locales?

I would define locale-aware URL and routing conventions early, model localized fields in the CMS, and establish fallback behavior for untranslated content. I would also automate hreflang and canonical metadata, ensure localized sitemaps are correct, and test regional redirects and page performance.

How do you use AI tools responsibly in engineering and QA workflows?

I use AI agents to accelerate repetitive tasks such as code scaffolding, test generation, documentation, dependency review, and exploratory QA, while retaining human review for correctness, security, accessibility, and business context. I also establish guardrails around sensitive data, prompt inputs, and verification of generated code before release.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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