6 months ago
Remote, United States or New York, NY, USASenior / Staff+
H1B sponsor
Base Salary
$150k - $195k/yr
Responsibilities
- Act as a technical expert and strategic advisor to enterprise customers, aligning business goals with technical solutions.
- Build and maintain relationships with developers, engineers, program managers, executives, and other customer stakeholders.
- Conduct regular on-site customer visits and provide hands-on partnership to drive adoption.
- Own onboarding, adoption, technical enablement, expansion, and advocacy across the customer lifecycle.
- Help customers integrate and effectively adopt Deepgram products using best practices, reference architectures, and creative solutions.
- Discover customer issues, assess their business impact, and translate them into actionable requirements for internal teams.
- Run live product demonstrations, guide architecture discussions, and troubleshoot L1-style issues.
- Maintain deep knowledge of Deepgram APIs, integrations, and AI/ML technologies.
- Identify and scope cross-sell, upsell, and multi-product expansion opportunities in partnership with Sales.
- Develop customer success plans aligned with business outcomes and Deepgram capabilities.
- Lead executive business reviews, joint planning sessions, and strategy workshops.
- Represent the voice of the customer in product roadmap, go-to-market strategy, tools, and process decisions.
- Track and report adoption, usage, customer health, satisfaction, expansion, and revenue-impact metrics.
- Use AI-first workflows for research, preparation, account summaries, follow-ups, and technical investigations.
- Build internal tools, agents, and systems that eliminate recurring work for the Customer Success team.
Requirements
- 7–10+ years of experience in Technical Account Management, Sales Engineering, and/or technically focused Enterprise Customer Success at innovative, API-driven technology companies.
- Proven ability to combine customer engagement, solution design, technical problem-solving, and commercial growth.
- Experience running enterprise product demos, proofs of concept, or technical workshops.
- Demonstrated success identifying cross-sell, upsell, and expansion opportunities in complex enterprise accounts.
- Strong technical aptitude with APIs, developer workflows, and basic L1-style troubleshooting; coding is not required.
- Experience engaging developers, architects, support teams, and executive buyers such as CIOs, CTOs, and VPs of Engineering.
- Strong communication, collaboration, stakeholder influence, ownership, adaptability, and customer stewardship skills.
- Strong understanding of partner ecosystems and channel business models including resale, referral, integrations, co-marketing, and co-selling.
- Evidence of having built a tool, agent, script, or workflow that permanently eliminated recurring work.
- AI-native working model with specific examples of workflows structurally dependent on AI.
- Preferred experience spanning solutions engineering, technical account management, or L1 support alongside customer success responsibilities.
- Preferred experience in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.
- Preferred fluency with automation, scripting, or agent-building using Python, TypeScript, workflow tools, agent frameworks, or equivalent.
Benefits
- Medical, dental, and vision benefits; annual wellness stipend; mental health support; life, short-term disability, and long-term disability income insurance plans.
- Unlimited paid time off, paid parental leave, flexible schedule, 12 paid US company holidays, quarterly personal productivity stipend, home office upgrade stipend, 401(k) with company match, and tax savings programs.
- Learning and education stipend, participation in talks and conferences, employee resource groups, and AI enablement workshops and sessions.
- Remote work-from-home environment with frequent customer travel and regular on-site customer visits; benefits vary by country for international employees through an Employer of Record model.
Tech Stack
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.