Partner Success Engineer

Stack

Responsibilities

• ▹Serve as technical advisor and strategic owner for a portfolio of strategic partners
• ▹Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, advocacy
• ▹Drive joint adoption through live demos, workshops, architecture guidance, troubleshooting
• ▹Run continuous discovery, surfacing partner problems and translating them into product requirements
• ▹Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) with Sales
• ▹Lead executive business reviews and joint planning sessions
• ▹Act as the voice of the partner internally, influencing roadmap and GTM strategy
• ▹Build tools, agents, and workflows that eliminate recurring work

Requirements

• ▹~7+ years in technical, customer-facing roles (TAM, sales/solutions engineering, partner or enterprise CS) at API-driven or AI companies
• ▹Track record blending partner/customer ownership with technical depth: solution design, troubleshooting, commercial growth
• ▹Hands-on experience leading demos, POCs, or technical workshops with enterprise partners
• ▹Demonstrated success identifying and landing expansion in complex enterprise/partner accounts
• ▹Fluency discussing APIs, integrations, and developer workflows
• ▹Strong understanding of partner ecosystems and channel business models
• ▹Exceptional communication and relationship-building across technical and business audiences

Nice to have

• ▹Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies
• ▹Telephony/CCaaS/CPaaS background (e.g., Twilio, Genesys)
• ▹Background spanning solutions engineering, TAM, or L1 support alongside CS/partner responsibilities
• ▹Familiarity with channel/partner marketing or technical enablement asset creation
• ▹Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools)

Soft skills

About the company

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT) and text-to-speech (TTS), and powering production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings on Deepgram's technology, including Twilio, Cloudflare, and Sierra. Backed by a recent Series C, Deepgram has processed over 50,000 years of audio and transcribed more than a trillion words.