APAC Pre-Sales Solutions Engineer – Voice AI

Deepgram

Sydney

On-site

AUD 140,000 - 170,000

Full time

14 days+
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Job summary

Deepgram is hiring a Pre-Sales Solutions Engineer based in Australia to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts across APAC. You will partner with Account Executives, craft POCs, and ensure continuity post-sale to scale customer success.

You will lead discovery, build lightweight prototypes, and advise on architecture for latency, security, and data residency, while collaborating with Product, Engineering, and Support

Qualifications

  • Experience leading technical discovery for complex opportunities.
  • Ability to map business goals to measurable technical success criteria.
  • Strong written and verbal communication with customers in APAC.

Responsibilities

  • Lead technical discovery for strategic opportunities and define evaluation plans.
  • Design, scope, and execute POCs with datasets, metrics, and timelines.
  • Build prototypes and demos using Deepgram SDKs and APIs.
  • Advise on architecture for accuracy, latency, and cost across cloud, self-hosted, and hybrid deployments.
  • Triage and debug during evaluations and collaborate with Product, Engineering, and Support.
  • Create reusable assets like samples, runbooks, and reference architectures.
  • Partner with Solutions Architects and Support to ensure continuity after wins.
  • Enable the field with alignment on positioning, demos, and validation for priority use cases.

Skills

Technical discovery
Pre-sales collaboration
Customer-facing communication

Tools

Deepgram SDKs
APIs

Job description

Deepgram is hiring a Pre-Sales Solutions Engineer based in Australia to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts across APAC. You will partner with Account Executives, craft POCs, and ensure continuity post-sale to scale customer success.

You will lead discovery, build lightweight prototypes, and advise on architecture for latency, security, and data residency, while collaborating with Product, Engineering, and Support

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