Senior Pre-Sales Solutions Engineer (Australia)

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.

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.

• 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.

• 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.

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

• Compress before you communicate. You think it through first, then lead with the bottom line.
• Resist entropy. You question what already exists before adding more process or tools.
• Solve the category. You fix recurring problems at the source, not one case at a time.
• Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

• Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.
• Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.
• Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.
• Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.

We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.

Note: this role is based out of Australia 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 Australia 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.

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.

• Based in Australia 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.

• 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).

• 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.

• 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.

• 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.

• 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!

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Company overview

Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

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.