Pre-Sales Solutions Engineer - Deepgram

Company Overview

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words.

Company Operating Rhythm

At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.

Every team member is expected to actively use, experiment with, and build advanced AI tools into their everyday work. Candidates should be comfortable adopting new models quickly, integrating AI into their workflows, and adapting to rapid changes in day-to-day responsibilities.

Note: Candidates must be based within either Eastern or Pacific Time in the US.

About the Opportunity

Deepgram is seeking a Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with prospects, customers, and partners.

In this role, you will be the technical authority bridging the gap between state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with the sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts (POCs), and demonstrate the value of our platform to technical decision makers.

Location & Travel

While anchored in our San Francisco office (close to key customers and partners), Deepgram continues to be remote-first. We don't expect you to be in the office every day, but value a mix of in-person and remote collaboration. This role includes up to 50% travel for customer meetings and sales engagements.

What You’ll Do

• Lead technical discovery and solution design for enterprise prospects and customers.
• Architect and implement custom proof-of-concepts and technical demonstrations addressing specific customer use cases.
• Provide expert guidance on API integration, performance optimization, and deployment strategies.
• Partner with Account Executives to navigate technical objections and accelerate the sales cycle.
• Contribute to technical content creation, including implementation guides, reference architectures, and best practices.
• Mentor junior team members and share technical knowledge across the organization.
• Represent the voice of the customer to product and engineering teams.

Your First 90 Days

• First 30 Days: Complete comprehensive onboarding on Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls, build technical demos, and gain proficiency with core APIs.
• 60 Days: Lead technical discovery calls with Account Executives, develop custom POCs, contribute to technical content, and participate in sales strategy sessions.
• 90 Days: Own the technical relationship with assigned accounts, present complex solutions for customer challenges, and contribute to pre-sales methodologies.

Requirement & Qualifications

Minimum Requirements

• 5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles.
• Strong software engineering background with professional development experience in modern programming languages (e.g., Python, JavaScript/TypeScript).
• Proven track record of successfully navigating complex technical sales cycles.
• Experience building and demonstrating proof-of-concepts or technical solutions to diverse technical and non-technical audiences.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies.
• Experience building customer-facing demos and sample code.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Experience with API-first products and developer tools.
• Background in enterprise sales methodologies (e.g., MEDDIC, Solution Selling).