# Forward Deployed Engineer, Audio

**Company:** [Protege](https://hotfix.jobs/companies/protege)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 3+ years
**Skills:** Python, AWS, Dagster, Databricks, Vercel, Audio Processing, Speech Ml, Music Ml, Vector Embeddings, Semantic Retrieval, Transcription, Diarization, Data Curation, Data Processing, Data Annotation
**Posted:** 2026-08-25

> Own technical delivery for audio customers while building reusable systems, tooling, and playbooks that scale the audio vertical. The role requires 3+ years of engineering experience, customer-facing ownership, large-scale data systems expertise, and comfort with ambiguity and fast-paced work.

## Job Description

## Responsibilities

### Build the Technical Foundation for Audio
- Develop and own solutions that turn raw audio, often with unstructured or missing metadata, into organized, ready-to-sell datasets.
- Build prototypes and evolve them into reliable production systems that others can understand and operate.
- Characterize large, unfamiliar audio datasets and determine whether they support customer use cases.

### Own Customer Engagements End to End
- Partner with audio leadership, technical teams, and commercial stakeholders from feasibility through post-delivery support.
- Translate customer model-development goals into executable technical plans with clear acceptance criteria.
- Own implementation and operation of customer engagements.

### Turn Deal Work Into Product Leverage
- Identify platform improvements based on customer requests and field learnings.
- Identify recurring patterns that should become shared cross-vertical platform capabilities and help design and build them.
- Create audio technical playbooks and quality standards.

### 30-Day Goals
- Learn the platform, audio data landscape, customer and partner portfolio, and processing and delivery systems.
- Pair with an engineer on an existing audio deal.
- Identify tooling and operating-model gaps and propose a prioritized improvement plan.

### 60-Day Goals
- Operate an active audio deal as the primary FDE.
- Build or meaningfully extend a tool or workflow based on a customer request.
- Establish communication with FDEs and product teams to generalize deal learnings.

### 90-Day Goals
- Serve as the default technical owner across active audio engagements.
- Own architecture and delivery for audio customers, including post-delivery support and iteration.
- Establish an audio FDE playbook and reusable toolkit.
- Maintain a roadmap of platform investments to increase delivery capacity.

## Requirements
- 3+ years of engineering experience, including meaningful exposure to customers or external technical stakeholders.
- Experience working directly with media data; audio experience is preferred.
- Experience building and operating systems that process, analyze, or deliver data at scale.
- Customer-facing ability, including translating ambiguous requirements, communicating trade-offs, and building trust with technical stakeholders.
- Demonstrated end-to-end ownership from problem definition through implementation, validation, and support.
- High ambiguity tolerance, bias to action, and sound judgment about when to investigate or push back.
- Comfort working in a fast-moving environment with concurrent priorities and time-sensitive customer work.

## Nice to Have
- Early-stage company, founding-engineer, early-engineer, or startup-like experience with broad ownership.
- Hands-on Python experience.
- Product engineering experience or a strong user-focused product mindset.
- Experience with search, vector embeddings, semantic retrieval, or ML-assisted data curation.
- Experience with AWS, Dagster, Databricks, or Vercel.
- Experience with audio processing, speech or music machine learning, transcription, diarization, annotation, quality measurement, privacy, or redaction workflows.

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