Deepgram
Partner Success Engineer
USA | Remote · Exec
Sponsorship not specifiedDetected 88 days ago
TypeScriptPythonCloud PlatformsMachine LearningSalesCustomer SuccessCommunicationCollaboration
About the role
- 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
Responsibilities
- Serve as the technical advisor and strategic owner for a portfolio of strategic partners, engaging everyone from developers to CIOs and CTOs.
- Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
- Drive joint adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations - making Deepgram successful inside the partner's environment.
- Run discovery continuously: surface partner problems, understand their business impact, and translate them into actionable requirements for product and engineering.
- Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) in partnership with Sales, and lead executive business reviews and joint planning sessions.
- Act as the voice of the partner internally - influencing roadmap, GTM strategy, and the tools we build to support partners.
- travel to partner sites as needed.
- Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader team. Your impact is measured by the leverage you create, not just the partners you serve.
- Significant experience in technical, customer-facing roles - TAM, sales/solutions engineering, partner or enterprise CS with a strong technical focus, implementation, or support - at API-driven, developer-first, or AI companies.
- A track record that blends partner or customer ownership with technical depth: solution design, hands-on troubleshooting, and commercial growth.
Requirements
- No coding required, but you're fluent in APIs, developer workflows, and real technical conversations.
- AI-native operating model - AI is how you work, not a tool you occasionally reach for.
- Whatever your path, you're probably strongest in one or two of these competencies - but you can demonstrate all three, and you're eager for a role where you deploy them concurrently.
- For most people that's roughly 7+ years, but we care more about the shape of your experience than the exact number.
- Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant - not hand-waving).
- A strong understanding of partner ecosystems and channel business models - resale, referral, integrations, co-marketing, co-selling - and multi-party commercial dynamics.
- Experience engaging both technical stakeholders (developers, architects) and executive buyers (CIO, CTO, VP Engineering).
Nice to have
- You don't need to be a software engineer - just dangerous enough to ship working systems.
- Life, STD, LTD Income Insurance Plans
- 12 Paid US company holidays
- 401(k) plan with company match
- Tax Savings Programs
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
Compensation
- Annual wellness stipend
Benefits
- Track adoption, usage, health, and expansion to drive outcomes; travel to partner sites as needed.
Company info
- Hands-on experience running demos, POCs, or technical workshops with enterprise partners or customers - leading them, not just attending.
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This listing is sourced directly from Deepgram's careers page and normalized into a canonical job model.