Location: New York, NY or San Francisco, CA
Work model: Onsite, 5 days per week
Industry: AI Data / Voice AI / Machine Learning Infrastructure
Compensation: Competitive base salary up to $200,000 + equity, depending on experience
The OpportunityOur partner is hiring a
Data & Product Operations Lead to own the execution of complex data projects from start to finish. This person will sit at the center of operations, product, research, engineering, QA, and deployment teams, ensuring that datasets are delivered on time, meet a high quality bar, and are useful for machine learning model training.
This is a highly cross-functional role for a strong generalist who enjoys ambiguity, ownership, and fast-paced execution. The team is looking for operators who can manage projects, solve operational problems, work with technical teams, and help shape how high-quality data products are built at scale.
Responsibilities- Own end-to-end execution of voice and audio data projects, from project kickoff through delivery
- Work cross-functionally with product, research, engineering, QA, and deployment teams
- Manage workflows across internal teams, speakers, reviewers, and quality assurance processes
- Ensure data projects meet required quality standards and delivery milestones
- Identify process gaps, operational bottlenecks, and opportunities for automation
- Partner with engineering and platform teams to troubleshoot bugs, improve tooling, and streamline workflows
- Help define project requirements and translate business or research goals into operational plans
- Maintain a high bar for data quality, usability, and consistency
- Support multiple projects or workstreams as company priorities evolve
Requirements- 2+ years of experience in consulting, strategy & operations, business operations, investment banking, private equity, marketplace operations, startup operations, or another high-intensity operating environment
- Strong project management skills with the ability to drive complex workstreams across multiple stakeholders
- Comfort working in ambiguous, fast-changing environments
- Strong analytical and problem-solving skills
- Ability to work closely with technical, product, and research teams
- Excellent communication skills and strong attention to detail
- High ownership mentality and willingness to operate across both strategic and execution-focused work
- Interest in AI, data quality, voice/audio technology, or machine learning infrastructure
- Prior experience in a startup, marketplace, consulting, finance, or operationally complex business is a plus
