About this role.
Deepgram is seeking a Senior Pre-Sales Engineer based in Singapore to lead technical evaluations, design solution paths, and drive repeatable adoption for strategic accounts across APAC. The role covers technical discovery, POC execution, prototyping with Deepgram APIs, architecture advice, and navigating regional security and compliance regulations. The company operates at AI speed, requiring an AI-first mindset, constant learning, and adaptability. This is a hands-on, customer-facing role that blends solutions engineering, architecture, and post-sales continuity for long-term partnership.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
5/5Autonomy Level
4/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Cover letter sample
Dear Hiring Manager,
I am excited to apply for the Senior Pre-Sales Engineer position at Deepgram. With a strong background in solutions engineering and voice AI technologies, I have successfully led complex technical evaluations and POCs for enterprise customers, translating business goals into measurable technical wins. I am particularly drawn to Deepgram's mission to power the Voice AI economy and its AI-first culture, which aligns with my passion for leveraging cutting-edge tools.
Throughout my career, I have bridged sales and engineering, building prototypes, advising on architecture, and ensuring seamless customer adoption from discovery to production. I also bring hands-on experience with APAC data privacy regulations, including PDPA and APPI, which I know are critical for Deepgram's expanding client base. I thrive in fast-paced environments and am eager to drive innovation and customer success across the region.
Thank you for considering my application. I look forward to discussing how I can contribute to Deepgram's growth.
Sincerely,
[Your Name]
Sample interview questions
In a previous role, I worked with a large financial services client evaluating a speech-to-text solution for compliance monitoring. I led discovery to map their key metrics—accuracy on industry-specific jargon and latency under high volume—then designed a POC using a pilot dataset. I set clear success thresholds, coordinated with product and engineering to resolve initial issues, and presented results that showed a 25% accuracy improvement over their existing solution. This led to a full production deployment.
I would start by engaging the prospect's security and legal teams early to understand their specific data residency, consent, and cross-border transfer requirements. For PDPA, I'd ensure that data processing agreements cover purpose limitation and consent mechanisms, and for APPI, I'd address the need for explicit consent and possibly appoint a local data protection officer. I would also work with Deepgram's engineering team to clarify deployment options, such as on-premises or region-specific cloud hosting, and prepare clear documentation for each regulation.
I believe in setting realistic expectations from the start. I would use the discovery phase to understand their use case, then provide benchmark data and run a quick pilot on their own data to demonstrate actual accuracy. If the gap remains, I would discuss trade-offs between accuracy, latency, and cost, and propose alternative approaches like custom language models or tuning parameters. The goal is to find a mutually acceptable solution that still delivers measurable value.
I would identify the common patterns across multiple customer engagements—for example, a voice agent for customer service. I would then design a reference architecture that includes best practices for API integration, scaling, and security, and create sample code and deployment scripts. After packaging it into a clear guide, I'd share it with the broader field team and update it based on feedback and new features. This reduces ramp-up time for new deals and ensures consistency.
Moving quickly is important, but I never sacrifice the foundational steps that ensure long-term success. I prioritize discovery to understand the customer's business goals, which speeds up later phases by reducing rework. During the POC, I focus on the critical success factors and set clear timelines, while also documenting any risks or open questions. After the sale, I maintain continuity by staying involved during the early launch and providing a clear handoff to support teams, ensuring the customer sees ongoing value.
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 role is based out of Singapore and will service the APAC region.
Opportunity
Deepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-Sales Solutions Engineer in India to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.
About Applied Engineering at Deepgram
Applied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.
What You Will Do
Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.
Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.
Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.
Regional Expectations
Based in Singapore with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.
Excellent written and spoken English. Additional Asian languages are a strong plus.
Familiarity with procurement, InfoSec, and data privacy expectations across APAC.
Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.
Your First 90 Days
Ramp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.
First 30 days
Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.
Shadow strategic discovery and POC calls across APAC time zones.
Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.
Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).
By day 60
Own two evaluations end to end with defined success criteria and timelines.
Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.
Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.
Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.
By day 90
Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.
Close at least one complex technical win with a measurable impact on revenue.
Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.
Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.
You Will Thrive Here If You
Enjoy the mix of customer conversations and hands-on building.
Can move from whiteboard to working code and back without losing the thread.
Communicate clearly with executives and deeply with engineers.
Value speed with rigor and crisp documentation.
Like winning together across regions and functions.
Minimum Qualifications
5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.
Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.
Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.
Proven track record leading POCs for enterprise customers and earning the technical win.
Clear written and verbal communication across both technical and executive audiences.
Preferred Qualifications
Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.
Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.
Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.
Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.
Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.
How We Work
Remote across APAC with periodic regional meetups.
Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.
Shared playbooks, defined escalation paths, and measurable SLAs.
Interview Process
Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.
Panel interviews with cross-functional partners.
Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.
If this sounds like you, we would love to meet you!
Notice: We’re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you’ve received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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