Senior Pre-Sales Solutions Engineer

Deepgram•,
•$197,000 - $246,000

About The Position

Deepgram is seeking a Senior Pre-Sales Solutions Engineer to join its Applied Engineering team. The role primarily leads technical pre-sales engagements with prospects, customers, and partners, while offering opportunities to contribute to implementation and customer support. The engineer acts as a technical authority who connects Deepgram’s AI speech technology with customer business needs, working closely with sales to develop technical solutions, validate requirements, build proof-of-concepts, and demonstrate platform value to technical decision makers. The role calls for engineering expertise and consultative sales skills to support complex sales cycles and establish Deepgram as a Voice AI partner. The engineer will also influence team vision and product strategy through market insights and contribute to the evolution of pre-sales methodology. Applied Engineering combines Solutions Engineering, Sales Engineering, Implementation, and Technical Support, serving as the technical interface between Deepgram and customers throughout their customer journey. The team works with Customer Success, Developer Experience, Product, and Engineering. This position is primarily focused on pre-sales, with opportunities to contribute across the customer lifecycle. The role includes up to 50% travel for customer meetings, sales engagements, and other key onsite interactions. During the first 30 days, the new hire will complete onboarding, learn Deepgram’s technology, products, and competitive landscape, shadow customer calls, begin building demos, and gain proficiency with core APIs and documentation. By 60 days, they will lead discovery calls with account executives, develop prospect proof-of-concepts, contribute to technical content, and provide insights in sales strategy sessions. By 90 days, they will own technical relationships with assigned accounts, develop and present complex solutions, begin mentoring newer team members, and contribute to pre-sales methodology.

Requirements

  • At least 5 years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles.
  • Strong software engineering background and professional development experience in at least one modern programming language, such as Python or JavaScript/TypeScript; the role requires deep hands-on software engineering experience.
  • Proven track record of navigating complex technical sales cycles successfully.
  • Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences.
  • Excellent verbal and written communication skills, including the ability to explain technical concepts to technical and non-technical stakeholders.

Nice To Haves

  • Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies.
  • Experience building customer-facing demos and sample code.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure, and containerization technologies such as Docker and Kubernetes (K8s).
  • Experience with API-first products and developer tools.
  • Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling.

Responsibilities

  • Lead technical discovery and solution design for enterprise prospects and customers.
  • Architect and implement custom proof-of-concepts and technical demonstrations for specific customer use cases.
  • Provide guidance on API integration, performance optimization, and deployment strategies.
  • Partner with Account Executives to address technical objections and accelerate the sales cycle.
  • Contribute to technical content, including implementation guides, reference architectures, and best practices.
  • Mentor junior team members and share technical knowledge across the organization.
  • Represent customer needs to Product and Engineering teams.
  • Contribute to implementation and customer support as needed across the customer lifecycle.
  • Influence the Applied Engineering team's vision, product strategy, and pre-sales methodology using market insights.
  • Travel to meet customers, support sales engagements, and participate in onsite interactions, up to 50%.
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