David AI

3 days ago

Data Product Operations Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Own end-to-end success of data pipelines in David AI’s Data Factory, from 0→1 prototypes to 1→N production scale. Design and run high-volume audio data pipelines with reliability, quality, and efficiency, collaborate with researchers to translate new model capabilities into workflows, and lead cross-functional workstreams across Ops, Product, and Engineering. Monitor pipeline health and use throughput, quality, and cost metrics to continually improve.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Own end-to-end success of a data pipeline, scaling from early experiments to high-volume production systems.
•Design and run pipelines that process high-volume audio data with reliability, quality, and efficiency.
•Work with researchers at leading AI labs to turn new model capabilities into concrete data workflows and project plans.
•Lead cross-functional workstreams across Ops, Product, and Engineering to build scalable “data factory” systems.
•Monitor and improve pipeline health and drive impact using throughput, quality, and cost metrics.

Pay and Benefits

Salary: USD 125,000 - 180,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionFsaHsa401k

Key Requirements

•1–6 years in high-intensity environments such as founder, strategy consulting, or venture-backed ops.
•Background in strategy consulting, strategic projects, investment banking, operations, computer science, or similar.
•Systems thinker who can spot leverage points and design for scale and durability.
•Strong product intuition and ability to work with engineers and researchers to get to the right answer fast.
•High-execution operator: fast, detail-oriented, and uncompromising on quality; collaborative and low-ego.

Experience:1-6 yearsVenture-backed opsStrategy consultingDataMLLarge-scale operations

Skills:Systems thinkingProduct intuitionHigh executionDetail-orientedCollaboration

Company Brief

David AI

David AI builds high-quality proprietary audio datasets and data infrastructure to train speech and conversational AI models, serving leading AI labs and enterprises with research-driven dataset development and evaluation.

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 250M to 500M

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2024

Glassdoor: 5.0

Website LinkedIn Glassdoor

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David AI

3 days ago

Data Product Operations Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Own end-to-end success of a data pipeline, scaling from early experiments to high-volume production systems.
•Design and run pipelines that process high-volume audio data with reliability, quality, and efficiency.
•Work with researchers at leading AI labs to turn new model capabilities into concrete data workflows and project plans.
•Lead cross-functional workstreams across Ops, Product, and Engineering to build scalable “data factory” systems.
•Monitor and improve pipeline health and drive impact using throughput, quality, and cost metrics.

Pay and Benefits

Salary: USD 125,000 - 180,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionFsaHsa401k

Key Requirements

•1–6 years in high-intensity environments such as founder, strategy consulting, or venture-backed ops.
•Background in strategy consulting, strategic projects, investment banking, operations, computer science, or similar.
•Systems thinker who can spot leverage points and design for scale and durability.
•Strong product intuition and ability to work with engineers and researchers to get to the right answer fast.
•High-execution operator: fast, detail-oriented, and uncompromising on quality; collaborative and low-ego.

Experience:1-6 yearsVenture-backed opsStrategy consultingDataMLLarge-scale operations

Skills:Systems thinkingProduct intuitionHigh executionDetail-orientedCollaboration

Company Brief

David AI

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Valuation: USD 250M to 500M

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2024

Glassdoor: 5.0

Website LinkedIn Glassdoor