Founding Product & Operations Lead
David Joseph & Company, San Francisco, CA, United States
Location:
San Francisco, CA (In-Person at SF Headquarters)
Type:
Full-Time
Base Compensation:
$150,000 – $250,000
Equity:
Competitive Early-Stage Equity Package
Number of Roles:
3
Overview This is a founding-level Product & Operations role within a venture-backed AI research company building large-scale video data infrastructure and advanced model training systems. The company operates at the intersection of frontier AI research, large-scale data systems, and next-generation model development. Its mission is to solve critical training data bottlenecks powering AI systems across media, robotics, immersive environments, and enterprise applications. This is a high-ownership position working directly with leadership and engineering to design, build, and scale foundational operational and data systems from the ground up. You will help architect the infrastructure that enables breakthrough AI model performance. This role is ideal for highly analytical, technically fluent operators who thrive in ambiguous, fast-moving environments and want to build foundational systems at scale.
Core Responsibilities Strategic Data & Partnerships
Forge and manage strategic data partnerships across enterprise, media, and research ecosystems
Design creative and scalable sourcing strategies for large-scale video and multimodal datasets
Negotiate and structure partnerships with external vendors, data providers, and platform partners
Operational Systems & Infrastructure
Build and scale human workforce operations and quality assurance processes
Develop operational playbooks that support high-volume data ingestion and labeling workflows
Create scalable systems that enable engineering and research teams to move faster
Establish metrics and reporting frameworks to measure operational efficiency and data quality
Product & Cross-Functional Leadership
Partner directly with research, engineering, and executive leadership to influence long-term strategy
Translate research and model requirements into scalable operational execution plans
Own complex projects end-to-end from concept through deployment
Identify bottlenecks in data pipelines and design solutions that unlock model performance
Execution & Ownership
Operate effectively in ambiguous, zero-to-one environments
Balance strategic thinking with hands‑on execution
Rapidly prototype and iterate on operational systems
Requirements
Bachelors degree in Computer Science (or closely related technical discipline)
Excellent general problem‑solving and analytical skills
Strong technical fluency and ability to collaborate closely with engineers and researchers
Demonstrated ownership of projects or operational initiatives
Willingness to work in‑person at the San Francisco headquarters
Interview Process
Application Review
Initial Screen
Second‑Round Discussion
Executive Conversation
On‑Site Evaluation
Offer Decision
#J-18808-Ljbffr
San Francisco, CA (In-Person at SF Headquarters)
Type:
Full-Time
Base Compensation:
$150,000 – $250,000
Equity:
Competitive Early-Stage Equity Package
Number of Roles:
3
Overview This is a founding-level Product & Operations role within a venture-backed AI research company building large-scale video data infrastructure and advanced model training systems. The company operates at the intersection of frontier AI research, large-scale data systems, and next-generation model development. Its mission is to solve critical training data bottlenecks powering AI systems across media, robotics, immersive environments, and enterprise applications. This is a high-ownership position working directly with leadership and engineering to design, build, and scale foundational operational and data systems from the ground up. You will help architect the infrastructure that enables breakthrough AI model performance. This role is ideal for highly analytical, technically fluent operators who thrive in ambiguous, fast-moving environments and want to build foundational systems at scale.
Core Responsibilities Strategic Data & Partnerships
Forge and manage strategic data partnerships across enterprise, media, and research ecosystems
Design creative and scalable sourcing strategies for large-scale video and multimodal datasets
Negotiate and structure partnerships with external vendors, data providers, and platform partners
Operational Systems & Infrastructure
Build and scale human workforce operations and quality assurance processes
Develop operational playbooks that support high-volume data ingestion and labeling workflows
Create scalable systems that enable engineering and research teams to move faster
Establish metrics and reporting frameworks to measure operational efficiency and data quality
Product & Cross-Functional Leadership
Partner directly with research, engineering, and executive leadership to influence long-term strategy
Translate research and model requirements into scalable operational execution plans
Own complex projects end-to-end from concept through deployment
Identify bottlenecks in data pipelines and design solutions that unlock model performance
Execution & Ownership
Operate effectively in ambiguous, zero-to-one environments
Balance strategic thinking with hands‑on execution
Rapidly prototype and iterate on operational systems
Requirements
Bachelors degree in Computer Science (or closely related technical discipline)
Excellent general problem‑solving and analytical skills
Strong technical fluency and ability to collaborate closely with engineers and researchers
Demonstrated ownership of projects or operational initiatives
Willingness to work in‑person at the San Francisco headquarters
Interview Process
Application Review
Initial Screen
Second‑Round Discussion
Executive Conversation
On‑Site Evaluation
Offer Decision
#J-18808-Ljbffr