Customer Success Engineer
Deepgram
Cloud
Salary
💰 $135,000 - $180,000 per year
Job Level
SeniorLead
Tech Stack
Cloud
About the role
- Develop and scale best practices, processes, and tools for partner success management
- Act as a technical expert and strategic advisor to partners, engaging developers, engineers, and executives to align business goals with technical solutions
- Build, nurture, and sustain partner/customer relationships across personas from developers to C-level stakeholders
- Conduct regular on-site visits, work hands-on to drive adoption, and embed Deepgram into partner workflows
- Own full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy
- Ensure products are integrated, enabled, and adopted effectively using best practices and reference architectures
- Continuously operate in discovery mode, surface issues, and translate them into actionable requirements for internal teams
- Run live product demos, guide architecture discussions, and troubleshoot L1-style issues
- Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies
- Leverage AI to amplify impact, surface insights, and improve internal systems
- Identify and scope expansion opportunities (cross-sell, upsell, multi-product adoption) partnering with Sales
- Initiate and lead executive business reviews, joint planning sessions, and strategy workshops
- Serve as the voice of the customer internally to influence product roadmap and GTM strategy
- Track, analyze, and report on key KPIs (adoption, usage, health, satisfaction, expansion, revenue impact)
- Lead issue resolution and serve as escalation point for complex partner matters
Requirements
- 7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus)
- Proven track record blending customer engagement with technical expertise, navigating solution design, technical problem-solving, and commercial growth
- Hands-on experience running product demos, POCs, or technical workshops with enterprise customers
- Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts
- Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required)
- Experience engaging technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering)
- Exceptional interpersonal, communication and collaboration skills with ability to influence stakeholders including executives
- Strong sense of ownership and stewardship for customers
- Strong understanding of partner ecosystems and channel business models (resale, referral, integrations, co-marketing, co-selling)
- Experience building new processes and scaling customer success or channel programs
- Willingness to travel up to 50% (application asks this explicitly)
- Comfortable with an AI-first mindset and adopting AI tools to drive customer outcomes
- Self-directed and able to work in a remote WFH environment
- (Nice to have) Experience in AI/ML, voice AI, cloud infrastructure, developer-first technologies; familiarity with automation tools, analytics, basic scripting; familiarity with channel/partner marketing and enablement
