# General Manager, Data Operations

**Company:** [David AI](https://hotfix.jobs/companies/david-ai)
**Location:** San Francisco, CA
**Role:** Business Operations
**Salary:** $175k – $240k/yr
**Experience:** 5+ years
**Skills:** SQL, Data Pipelines, Machine Learning, Data Operations, System Design, Metrics Analysis, Workflow Prototyping, Large-Scale Operations
**Posted:** 2025-06-13

> Leads Data Operations team to build and scale audio data pipelines from experiments to production for AI models. Partners with researchers and executives, drives metrics-based decisions, and ensures high-quality data delivery at scale. Requires 5-10 years high-ownership experience and SQL proficiency.

## Job Description

## Responsibilities
- Build and lead a team of Data Product Operations Leads to spin up and scale data pipelines from early experiments to production systems generating high-quality audio data at scale.
- Act as thought partner to executive leadership on evolving and scaling delivery capabilities for customer needs.
- Monitor and improve pipeline health, spotting issues in sourcing, quality, or process early and owning end-to-end solutions.
- Use metrics to drive decisions, tracking throughput, quality, and cost to guide prioritization and investments.
- Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.
- Partner with internal research team to design and test new data shapes unlocking frontier model capabilities.
- Own outcomes across functions, designing systems, managing execution, unblocking bottlenecks, and ensuring delivery at prototype and production scale.

## Requirements
- 5–10 years of experience in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup).
- Prior experience scaling large-scale operational efforts at high-growth startups or fast-paced companies.
- **Technical fluency with data and operations; SQL proficiency required**.
- Prior experience designing and scaling systems, processes, and teams across different customer segments and product lines.
- Relentless operator with high standards, bias to action, and strong attention to detail.
- Comfortable with ambiguity and rapid pace; thrives in a "build while flying" environment.
- Low-ego, collaborative, and mission-driven, focused on team and company success.

## Nice-to-haves
- Experience in data, ML, or large-scale operations.
- Background in CS, industrial engineering, or similar.

## Benefits
- Unlimited PTO.
- Top-notch health, dental, and vision coverage with 100% coverage for most plans.
- FSA & HSA access.
- 401k access.
- Meals 2x daily through DoorDash + snacks and beverages at office.
- Unlimited company-sponsored Barry’s classes.

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