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Voice AI Platform · San Francisco
Deepgram 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 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 led by leading global investors and strategic partners, Deepgram 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 Deepgram.
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. 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.
Opportunity
Deepgram 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 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 complete post-sales customer engagements, providing direct technical guidance and solutions
Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems
Design and implement systematic improvements to our support process and infrastructure
Create automated solutions and self-service tools that address common customer challenges
Analyze support ticket patterns to identify product improvement opportunities and preventative measures
Develop technical documentation, guides, and best practices that enable customers to self-solve issues
Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities
Partner with the broader Applied Engineering team to share knowledge and balance support workload
Occasionally assist with implementation projects and pre-sales activities as needed
Time Allocation
50% - Direct customer engagement and technical problem solving
30% - Building automation and scalable support solutions
10% - Developing documentation and self-service resources
10% - Contributing to broader Applied Engineering initiatives and pre-sales activities
You'll Love This Role If You
Enjoy direct customer interaction and solving complex technical challenges
Are passionate about creating scalable solutions that enhance customer experiences
Find satisfaction in improving systems and processes to increase efficiency
Have a talent for identifying patterns and translating them into actionable improvements
Are energized by opportunities to apply engineering principles to customer-facing challenges
See technical support as a strategic function that drives customer satisfaction and retention
It's Important To Us That You Have
3+ years of experience in technical support, solutions engineering, or similar 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 developing automation solutions and improving technical processes
Proven ability to troubleshoot complex technical issues in production environments
Excellent written and verbal communication skills with the ability to explain technical concepts clearly
It Would Be Great if You Had
Experience with speech recognition, NLP, or related AI technologies
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)
Experience with API-first products and developer tools
Background in support automation techniques and tools