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# Pre-Sales Solutions Engineer (EST or PST)

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/deepgram.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 197k–246k / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceSeniorPublished23 Sep 2026Apply before23 Oct 2026Listing views1,387Application actions108Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Deepgram is hiring a senior Pre-Sales Solutions Engineer to lead technical discovery, solution design, proof-of-concepts, and demonstrations for enterprise Voice AI prospects. The role combines software engineering expertise with consultative selling, acting as the technical authority alongside Account Executives throughout complex sales cycles. The engineer will advise on API integrations, deployment and performance strategies, create technical collateral, and relay customer insights to Product and Engineering. This is a US remote role limited to Eastern or Pacific Time, with up to 50% customer travel and a strongly AI-first, fast-changing work environment.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior, customer-facing technical sales role requiring both credible hands-on engineering skills and the ability to influence complex enterprise buying decisions. The rapid AI environment, custom proof-of-concepts, broad customer-lifecycle exposure, and substantial travel increase the role's complexity.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$221,500US market range$180k–$260k0$286k

AI insightThe disclosed annual USD salary range is $197,000 to $246,000, producing a midpoint of $221,500. A competitive US market range for a senior pre-sales solutions engineer with enterprise AI/API expertise is estimated at $180,000 to $260,000 annually; total compensation may vary with variable pay, equity, geography, and experience.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Pre-sales engineering](https://jobicy.com/jobs?search_keywords=Pre-sales%20engineering.md)[Solutions architecture](https://jobicy.com/jobs?search_keywords=Solutions%20architecture.md)[Enterprise sales](https://jobicy.com/jobs?search_keywords=Enterprise%20sales.md)[Technical discovery](https://jobicy.com/jobs?search_keywords=Technical%20discovery.md)[Proof of concept development](https://jobicy.com/jobs?search_keywords=Proof%20of%20concept%20development.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Voice AI](https://jobicy.com/jobs?search_keywords=Voice%20AI.md)[Speech recognition](https://jobicy.com/jobs?search_keywords=Speech%20recognition.md)[Cloud platforms](https://jobicy.com/jobs?search_keywords=Cloud%20platforms.md)[Customer communication](https://jobicy.com/jobs?search_keywords=Customer%20communication.md)

Sample interview questionsHow would you structure technical discovery for an enterprise prospect evaluating Deepgram's speech APIs?I would begin by identifying the business outcome, target users, current workflow, success metrics, timeline, and buying stakeholders. I would then map technical requirements such as audio sources, languages, latency, accuracy, scale, security, deployment model, and integration constraints. I would summarize the findings into an agreed solution hypothesis and define a focused proof-of-concept plan with measurable acceptance criteria.

Describe how you would build a proof-of-concept for a customer seeking a real-time voice agent.

I would first define the agent journey and the metrics that matter, such as transcription latency, turn-taking quality, accuracy, and task completion. I would create a minimal end-to-end reference implementation using streaming speech-to-text, the customer's orchestration layer or LLM workflow, and text-to-speech where appropriate. I would instrument the solution, test representative audio conditions, document tradeoffs, and present results alongside a production architecture and rollout recommendations.

How do you explain a complex API integration to both engineering leaders and business stakeholders?

For engineering leaders, I use architecture diagrams, API flows, authentication requirements, performance assumptions, and implementation examples. For business stakeholders, I focus on the customer experience, operational impact, risk reduction, and measurable value enabled by the integration. I validate understanding with both groups and connect technical decisions directly to their agreed business objectives.

What would you do when a prospect raises a technical objection about reliability, latency, or deployment security?

I would clarify the specific concern, its business impact, and the acceptance threshold rather than responding with generic claims. Then I would provide relevant architecture guidance, documentation, benchmark methodology, and, where useful, a scoped validation test using representative conditions. I would communicate limitations transparently and work with internal engineering or product partners when a customer requirement needs deeper review.

How do you partner effectively with an Account Executive during a complex sales cycle?

I align early on account goals, stakeholder map, qualification criteria, competitive context, and the technical risks that could delay the deal. During engagement, I lead discovery and solution validation while keeping the AE informed of customer signals, next steps, and any gaps requiring commercial or executive action. I also help maintain a mutual action plan so technical work supports the buying process rather than becoming an open-ended evaluation.

Opportunity details

## About this role.

### 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. There is no organization in the world that understands voice better than Deepgram.

### 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 who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.

Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

### Note: This individual must be based within either Eastern or Pacific Time in the US.

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 our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You’ll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a member of the Applied Engineering team, you’ll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology.

About Applied Engineering at Deepgram

The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As an Applied Engineer, you’ll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle.

This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions

What You’ll Do

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Lead technical discovery and solution design for enterprise prospects and customers

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Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases

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Provide expert guidance on API integration, performance optimization, and deployment strategies

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Partner with Account Executives to navigate technical objections and accelerate the sales cycle

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Contribute to technical content creation including implementation guides, reference architectures, and best practices

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Mentor junior team members and share technical knowledge across the organization

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Represent the voice of the customer to product and engineering teams

Your First 90 Days

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First 30 Days: Complete comprehensive onboarding to understand Deepgram’s technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation.

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60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress.

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90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology.

You’ll Love This Role If You

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Are passionate about translating complex technical capabilities into business value

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Thrive in consultative customer environments where you can showcase your technical expertise

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Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility

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Find satisfaction in seeing your technical solutions drive customer adoption and success

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Are energized by staying at the forefront of AI and speech technology

It’s Important To Us That You Have

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5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles

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Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages

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Proven track record of successfully navigating complex technical sales cycles

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Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences

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Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders

It Would Be Great if You Had

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Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies

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Experience building customer-facing demos and sample code

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Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)

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Experience with API-first products and developer tools

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Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling

Notice: We’re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @[deepgram.com](http://deepgram.com) email address. If you’ve received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Show more

[Apply now >](https://jobicy.com/jobs/151436-pre-sales-solutions-engineer-est-or-pst.md)

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