[Hiring] Senior Solutions Architect @Deepgram

Role Description

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.

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.

Requirements

• 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.

Benefits

• Opportunity to grow into broader implementation and pre-sales roles.
• Make an immediate impact on customer support experience.
• Influence customer support strategy.

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.

Company Description

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.