Top Tech Jobs & Startup Jobs in Austin, TX

As a Solutions Architect at Deepgram, you'll engage with customers post-sales to resolve complex technical issues, create scalable solutions, and enhance support processes, using your engineering skills and experience in customer-focused roles.

The Strategic Partner Manager at Deepgram will build and scale technology partnerships, drive revenue motions, and operate AI-natively to enhance partner relations and ecosystem integration.

The GSI Partner Director will develop and scale Deepgram's GSI partner ecosystem, focusing on strategic relationships, revenue growth, joint solutions, and operational efficiency using AI.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Own end-to-end renewal negotiations for strategic, high-value consumption-based accounts. Forecast usage-driven renewals, build pricing and packaging, defend value with data, identify expansion opportunities, and quarterback cross-functional deal strategy to prevent churn and capture growth.

The FP&A Manager will lead revenue forecasting, support Go-To-Market strategies, utilize AI tools for efficiency, and drive performance insights across Sales and Marketing.

Lead the product-led growth strategy for Deepgram's self-serve business, focusing on revenue growth, user experience, and cross-functional team alignment across marketing, product, sales, and engineering.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.