Forward Deployed Engineer, Audio
Protege· Engineering
RemoteFull-timePosted 2mo ago
About the role
Protege is hiring an FDE to support our audio vertical. This role owns the technical success for audio customers and builds reusable pipes to scale. You will partner with the GM of the vertical, product and platform engineering, Data Lab, and commercial teams to navigate external requirements and develop solutions. The role combines customer ownership with building scalable technical foundations for audio data processing in a fast-paced, ambiguous environment.
Responsibilities
- Develop and own the solutions that turn raw audio, with often unstructured or non-existent metadata, into organized and ready-to-sell datasets.
- Build prototypes and phase them into reliable production systems that others can understand and operate.
- Rapidly characterize large and unfamiliar audio datasets and determine whether they can support a customer's use case.
- Work with the GM of the audio vertical, core technical teams, and commercial stakeholders from feasibility through post-delivery support.
- Translate a customer's model-development goals into an executable technical plan with clear acceptance criteria.
- Own the implementation and operation of the engagements you lead.
- Work in tandem with the product and core engineering teams to identify areas of growth for the platform based on customer requests and learnings from the front lines.
- Identify recurring patterns that should become shared cross-vertical platform capabilities and contribute directly to designing and building them.
- Build the audio vertical's technical playbooks and quality standards so the function scales with every new request.
Qualifications
- 3+ years of experience as an engineer, including meaningful exposure to customers or external technical stakeholders.
- Experience working directly with media data, bonus points for direct work with audio data.
- 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 initial problem definition through implementation, validation, and support.
- High ambiguity tolerance and bias to action, with the judgment to know when to investigate further or push back.
- Comfort with the intensity and pace of a fast-moving environment, including multiple concurrent priorities and time-sensitive customer work.
Skills
Required:Customer engagement
Nice to have:Python
Last updated Aug 27, 2026. Interested? Apply on the company site.
About Protege
The data layer for AI training
Protege is the platform for AI Training Data. Protege works with data holders and model builders to empower them to share training data for AI model development.
AI training datadata sharinghealthcaremediamotion-capturedatasets
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