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Описание вакансии
Текст:
TL;DR
Strategic Partner Manager (AWS): Owning the end-to-end AWS partnership and a $15M portfolio with an accent on technical consulting, commercial growth, and GTM strategy. Focus on driving consumption, managing complex three-way dynamics, and building AI-native workflows to automate recurring tasks.
Location: Must be based in the USA
Compensation: $195,000–$245,000 OTE (varies by location)
Company
Deepgram is a leading Voice AI platform providing real-time speech-to-text and text-to-speech APIs, powering voice agents for over 1,300 organizations.
What you will do
- Own the AWS relationship end-to-end, including technical adoption, commercial outcomes, and expansion.
- Drive joint GTM motions, including Marketplace listings, private offers, and co-selling with AWS field teams.
- Act as a trusted advisor to AWS stakeholders, from solutions architects to senior leadership.
- Conduct live demos, workshops, and architecture guidance to ensure Deepgram's success within AWS environments.
- Influence internal product and GTM strategy by acting as the voice of the partner.
- Build AI-native workflows and tools to eliminate recurring work and increase team leverage.
Requirements
- Must be based in the USA
- Proven experience as the accountable owner of a strategic partner or customer relationship at scale ($500K+ ARR).
- Significant experience in technical, customer-facing roles at API-driven, cloud, or AI companies.
- Deep understanding of partner ecosystems, channel business models, and multi-party commercial dynamics.
- Fluency in APIs, developer workflows, and technical troubleshooting.
- Exceptional communication skills with the ability to influence both technical and executive stakeholders.
Nice to have
- Direct experience with the AWS ecosystem (Marketplace, APN programs, co-sell motions).
- Background in machine learning, voice AI, or GenAI workloads.
- Experience building a partner function from scratch.
- Working fluency with automation or scripting (Python, TypeScript).
Culture & Benefits
- AI-first operating model where team members are expected to build and integrate AI tools into daily workflows.
- Fast-paced, experimental environment that values adaptability and rapid learning.
- Equity package included.
- Travel to partner sites required approximately 3–5 times per quarter.
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