Solutions Architect
Deepgram- Compensation
- $155k–$240k Published range
- Location
- Remote - USA (EST or PST hours) Remote eligibility
- Employment
- Full-time Mid-level
About the job
About Deepgram
Deepgram is a leading platform for the 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 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, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words.
About the Role
Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join the Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while building scalable solutions that enhance support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. This position offers an excellent path to grow into broader implementation and pre-sales roles.
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.
- Develop reusable implementation patterns, reference architectures, and deployment playbooks.
- 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.
- 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 implementation patterns. Gain proficiency with core APIs and documentation. Shadow active implementation engagements.
- 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.
Qualifications
- 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.
- 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.
Nice to Have
- 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.
Compensation & Benefits
Salary range: $155,000 – $240,000 USD. Offers equity and bonus.
Application Instructions
Apply via the provided application link. Note: Deepgram recruiters only communicate from @deepgram.com email addresses.
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