Besimple AI (YC P25) Is Hiring
🚀 Career Opportunity: Besimple AI (YC P25) is Expanding
🏢 About Besimple AI
Besimple AI is pioneering the benchmark and data infrastructure necessary to power the next wave of voice-based artificial intelligence.
The company was founded by former engineering and product leaders from Meta, who hold degrees from Brown University and MIT. As a lean, high-ownership organization, they collaborate with top-tier AI labs to advance the current state-of-the-art in audio modeling.
💼 Position Overview: Strategic Projects Lead — Audio Data
| Detail | Specification |
|---|---|
| Compensation | 160,000 |
| Location | San Mateo, CA, US |
| Employment Type | Full-time |
| Experience Level | Any (New grads welcome) / 3-7+ years preferred |
| Visa Status | US Citizens or Visa holders only |
🎯 The Mission
This role exists at the critical junction of strategic operations, AI data delivery, product development, and customer success. You will be the primary owner of complex audio collection and annotation initiatives, guiding them from the initial customer request to the final delivery of the dataset.
🔄 Operational Workflow
The following diagram illustrates the lifecycle of a project under your leadership:
🛠️ Your Responsibilities
Your goal is to turn ambiguous customer needs into precise, executable workflows.
📋 Daily Execution
- End-to-End Ownership: Lead audio data projects from the initial kickoff to the final hand-off.
- Specification Design: Create detailed project specs, contributor guidelines, QA rubrics, and acceptance criteria.
- Platform Management: Configure and run projects using Besimple's internal tools.
- Validation: Execute pilots to test task design, audio quality, cost, and throughput before full-scale deployment.
- Team Coordination: Oversee the daily work of annotators, reviewers, and QA leads.
- Health Tracking: Monitor key metrics such as:
- Volume and Throughput
- Rejection and Rework rates
- Margins and Timeline risks
- Product Evolution: Identify where the platform fails to scale and write
feature requestsor product requirements for the engineering team. - Supply Chain: Work with growth teams to secure the right demographics (accent, language, device, etc.).
- Reporting: Develop dashboards and maintain clear communication with founders and clients.
- Standardization: Build repeatable playbooks for future transcription and annotation tasks.
- Analysis: Perform root-cause analysis when a project misses its targets.
📊 Quality Metric Example
You will be expected to track quality using formulas similar to:
🔍 Candidate Profile
✅ Required Qualifications
- Experience: 3–7+ years in data ops, AI delivery, localization PM, or marketplace operations.
- Mindset: A strong "operator" who can dismantle vague goals into a concrete plan and execute without needing constant direction.
- Management: Proven track record of handling distributed teams of contractors or vendors.
- Product Sense: Ability to translate operational friction into technical requirements.
- Analytical Skills: Proficiency with spreadsheets, funnel metrics, and KPIs.
- Communication: Exceptional writing skills for SOPs and customer updates.
- Temperament: High ownership, low ego, and a willingness to dive into "messy" details.
🌟 Strong Pluses
- Industry Background: Experience at firms like
Scale AI,Surge AI,Appen,TELUS Digital,RWS,TransPerfect DataForce,Welocalize,Lilt,Turing,DataAnnotation, orRemotasks. - Domain Expertise: Knowledge of ASR, TTS, speech-to-speech, or linguistic data.
- Technical Skills: Basic proficiency in
SQL,Python,Airtable,Retool, or no-code automation. - Specialized Experience: Designing calibration workflows or managing multilingual/locale-specific projects.
💡 Example Projects You Might Lead
{
"project_examples": [
{
"type": "Language Launch",
"goal": "Deploy a new audio collection project in a priority language via the platform."
},
{
"type": "Workflow Design",
"goal": "Create the pipeline for voice actor auditions, recording, and metadata QA."
},
{
"type": "Large Scale Collection",
"goal": "Gather 1,000+ hours of natural speech from a specific locale."
},
{
"type": "Quality Control",
"goal": "Build a process to detect synthetic voices, background noise, or incorrect locales."
}
]
}
