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# Audio Solutions Architect

- **Company:** Innodata Inc
- **Location:** Ridgefield Park, NJ, United States
- **Salary:** $150,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Sound Recording and Reproduction, Software Product Management, Speech Synthesis
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=29934bdd2073da01

## About the Role

Do you have experience in Text-to-speech?, * Deep working knowledge of speech/audio AI: how TTS, ASR, and speech-to-speech systems are trained and evaluated, and what data they require.

 * Experience in a solutions engineering, solutions architect, technical presales, or applied/forward-deployed role - or a technical audio/speech background plus strong commercial instincts.
 * Demonstrated ability (and appetite) to produce public-facing technical content and represent a company externally - writing, speaking, or community engagement.
 * Ability to shape ambiguous requirements into precise specs and communicate them to both researchers and business stakeholders.
 * Strong presence and persuasion; comfortable being the technical authority in a sales conversation and on a conference stage.
 * Familiarity with audio technical specifications (sample rates, LUFS, formats), transcript/metadata schemas, and quality metrics (WER, DER).
 * A public body of work in speech/audio: talks, papers, blog posts, benchmarks.
 * Hands-on experience with speech datasets, annotation, or audio production.
 * Background working with or at a frontier AI lab or voice-AI product company.
 * Multilingual / localization exposure.

## Description

* Partner with customers in presales to understand their model objectives, current data gaps, and technical constraints.
 * Shape requirements: define acoustic specs, language/accent coverage, speaker demographics, emotional/paralinguistic range, transcript and metadata schema, and QA targets (WER/DER, LUFS, etc.).
 * Translate requirements into scoped execution plans - volumes, timelines, methodology, pricing inputs - in partnership with delivery.
 * Serve as the credible technical voice in the room: explain tradeoffs (studio vs. real-world vs. telephonic, scripted vs. spontaneous, single vs. multi-speaker) and defend methodology choices.
 * Build reusable solutioning assets: scoping frameworks, spec templates, reference architectures for common audio data use cases., * Stay at the tip of the spear on speech-AI developments (TTS, ASR, speech-to-speech) and what data the next generation of models will need.
 * Produce go-to-market material: technical blog posts, white papers, benchmark reports, and reference content that demonstrates Innodata's depth.
 * Represent Innodata externally: speak at and work conferences (Interspeech, ICASSP, industry events), engage the speech-AI community, and build our public technical profile.
 * Feed market intelligence back into strategy - advise on emerging data categories and where to invest ahead of demand.


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