About this role
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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.
Operating Principles:
Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:
Compress before you communicate.You think it through first, then lead with the bottom line.
Resist entropy.You question what already exists before adding more process or tools.
Solve the category.You fix recurring problems at the source, not one case at a time.
Work at the frontier.You go after problems no one has solved yet.
We look for people who already work this way, and these principles shape how we grow and evaluate our team.
AI-First by Default
We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.
That means more than using the tools. We expect you to:
Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.
Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.
Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.
Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.
We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.
Opportunity
Deepgram is seeking a talented, support-focused Senior Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram.
About Applied Engineering at Deepgram
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more.
What you'll do
Own the technical design and delivery of customer implementations and migrations, from kickoff through production cutover
Lead deployment scaling work, including capacity planning, rollout sequencing, and verification methodology
Design solutions that fit each customer's existing stack, constraints, and operational shape
Partner with Customer Success and Account Executives on customer-side change management, including readiness, stakeholder alignment, and rollout communication
Develop reusable implementation patterns, reference architectures, and deployment playbooks that the broader AppEng team and customers can reuse
Create automation and self-service tooling that compresses time-to-value for repeatable implementation work
Collaborate with product and engineering teams to advocate for customer needs and influence the roadmap based on patterns observed in active deployments
Provide support for the most complex post-onboarding cases when escalation crosses into Solutions Architect territory
Occasionally support pre-sales technical work, including discovery, scoping, and proof-of-concept design
Time allocation
50% — Customer implementation and scaling engagements
20% — Building reusable patterns, reference architectures, and automation
15% — Pre-sales technical support, including discovery, demos, and proof-of-concepts
10% — Documentation and knowledge sharing
5% — Complex post-onboarding escalations and collaboration with Technical Support Engineers
Your first 90 days
First 30 days — Complete comprehensive onboarding to understand Deepgram's technology, products, and the patterns we use for implementations. Gain proficiency with our core APIs and documentation. Shadow active implementation engagements to build familiarity with how the AppEng team operates during customer change phases.
60 days — Begin owning customer implementation engagements end-to-end, leading technical design and partnering with Customer Success on rollout. Start contributing to reusable implementation patterns and reference architectures.
90 days — Own the technical delivery of multiple concurrent customer implementations. Develop and deliver scalable solutions for repeatable customer change patterns. Begin contributing to the Applied Engineering team's implementation methodology and mentoring newer team members.
You'll love this role if you...
Enjoy seeing customer technical environments transformed through careful implementation work
Are passionate about reducing the time it takes any customer to reach production value with Deepgram
Find satisfaction in designing patterns that scale beyond a single customer engagement
Have a talent for identifying recurring needs across customers and translating them into reusable artifacts
Are energized by deploying cutting-edge Voice AI in production environments with real customers
See implementation work as a strategic function that drives customer growth and retention
It's important to us that you have
3+ years of experience implementing or deploying technical solutions for enterprise customers, ideally in customer-facing technical roles
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript / TypeScript, Rust, C / C++, or similar languages. This is a builder role where strong software engineering skills are required.
Experience leading technical delivery of production deployments, from design through cutover
Proven ability to scope complex technical work and sequence it for successful delivery
Excellent written and verbal communication skills with the ability to explain technical concepts clearly to engineering and business stakeholders alike
It would be great if you had
Experience with speech recognition, natural language processing, AI Voice agents, or related AI technologies
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes
Experience with API-first products and developer tools
Background in change-management or implementation methodology
Experience producing reference architectures, deployment playbooks, or implementation templates
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 [email protected].
This is a remote role. Applicants must be located in: United States.
