General Manager, Data Operations
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.
About the job
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.
Skills
SQL, Data Pipelines, Machine Learning, Data Operations, System Design, Metrics Analysis, Workflow Prototyping, Large-Scale Operations
Similar jobs
Business Operations jobs
Anthropic
San Francisco, CA
Own intake, process design, AI automation, data quality, and operational reporting for Anthropic’s growing partner program. The role requires cross-functional project management, analytical ability, and hands-on experience with Claude or similar AI workflows, reporting tools, and partner operations systems.
OpenAI
San Francisco, CAManages global Business Marketing budget operations, forecasting, purchasing, reconciliation, and investment analysis while partnering with Finance, Procurement, Data Science, and marketing leaders. Requires 4+ years in business operations, finance, marketing operations, analytics, consulting, or a related quantitative field.
Scale AI
San Francisco, CA
The Program Manager will build and operationalize Scale’s enterprise compliance and GRC programs, covering ABAC, third-party risk, sanctions, policy governance, risk management, reporting, and diligence. The role requires 5+ years of in-house compliance experience plus strong process, analytical, and project management capabilities.
Coinbase
United States
Leads strategic workforce management for regulated Customer Experience operations, owning AI-informed capacity planning, forecasting, cost modeling, and staffing scenarios. Requires 5+ years in senior workforce planning or operations roles, fintech or financial-services experience, and proficiency with WFM platforms, BI tools, and SQL.
Anthropic
San Francisco, CAOwns high-volume procurement operations for research teams, ensuring purchasing, contracting, purchase orders, receipts, invoices, accruals, and financial controls are accurate and timely. The role partners with Accounting, Legal, Security, Accounts Payable, researchers, and vendors while building scalable, AI-enabled processes.