2 days ago
Base Salary
$155k - $220k/yr
Responsibilities
- 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 customers’ existing technology stacks, constraints, and operational environments.
- Partner with Customer Success and Account Executives on change management, stakeholder alignment, readiness, and rollout communication.
- Develop reusable implementation patterns, reference architectures, deployment playbooks, and implementation templates.
- Create automation and self-service tooling to accelerate repeatable implementation work.
- Collaborate with Product and Engineering to advocate for customer needs and influence the roadmap.
- Provide support for complex post-onboarding cases that require Solutions Architect expertise.
- Support occasional pre-sales technical activities, including discovery, scoping, demos, and proof-of-concept design.
- Document implementation knowledge, share best practices, and mentor newer team members.
Requirements
- At least 3 years of experience implementing or deploying technical solutions for enterprise customers, ideally in customer-facing technical roles.
- Professional software development experience in at least one modern programming language such as Python, JavaScript, TypeScript, Rust, C, or C++.
- Experience leading the technical delivery of production deployments from design through cutover.
- Ability to scope complex technical work and sequence it for successful delivery.
- Strong written and verbal communication skills, including the ability to explain technical concepts to engineering and business stakeholders.
- Preferred experience with speech recognition, natural language processing, AI voice agents, or related AI technologies.
- Preferred knowledge of AWS, GCP, Azure, Docker, and Kubernetes.
- Preferred experience with API-first products, developer tools, change management, implementation methodology, reference architectures, deployment playbooks, or implementation templates.
Categories
Solutions Engineering
About Deepgram
Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.