Solutions Architect (EST or PST hours)

Deepgram; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Deepgram seeks a Solutions Architect (Applied Engineer) to engage with customers, solve complex technical challenges, and build scalable support-ready solutions. You will own complete customer engagements in a post-sales capacity and may assist with pre-sales and implementation projects as needed.

Strong engineering background and customer-facing experience are essential. You will influence the Applied Engineering team's approach, develop reusable patterns, and contribute to the broader mission

Qualifications

• 3+ years delivering technical solutions for enterprise customers.
• Strong software engineering background with modern languages.
• Experience leading production deployments from design to cutover.
• Ability to scope complex work and sequence delivery.
• Excellent written and verbal communication for technical stakeholders.

Responsibilities

• Own the technical design and delivery of customer implementations and migrations from kickoff to cutover.
• Lead deployment scaling, capacity planning, rollout sequencing, and verification.
• Design solutions that fit each customer's stack, constraints, and operations.
• Collaborate with Customer Success and Account Executives on change management and rollout.
• Develop reusable implementation patterns, reference architectures, and playbooks.
• Create automation and self-service tooling to shorten time-to-value.
• Work with product and engineering to reflect customer needs in the roadmap.
• Provide support for complex post-onboarding escalations in SA territory.
• Occasionally support pre-sales discovery, scoping, and proof-of-concept work.

Skills

Enterprise delivery

Software engineering

Pre-sales support

Communication

Automation tooling

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Company Overviewthe company 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 the company’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. the company’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, the company 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 the company.

Company Operating RhythmAt the company, 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 the company 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.

Note: This individual must be based in either Eastern or Pacific Time in the US. or willing to work during these time zone work hours

Opportunitythe company is seeking a talented, support-focused 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 the company.

About Applied Engineering at the companyThe Applied Engineering (AppEng) team at the company combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between the company 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 the company’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 the company
• 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
• 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

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