Research & Product Lead

Product Pulse; San Francisco (CA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation + equity

Health insurance

Free lunch and dinner

Job summary

Product Pulse, located in San Francisco, is seeking a Research & Product Lead. This role combines technical expertise with relationship management, working across product, applied research, and customer engagement functions.

Ideal candidates should have a Bachelor's in computer science, strong understanding of ML workflows, and excellent communication skills. The position operates on-site five days a week and offers competitive compensation.

Qualifications

• Strong understanding of ML and AI workflows, particularly around data pipelines and model training.
• Excellent written and verbal communication that commands credibility with senior technical stakeholders.
• High curiosity and high EQ.

Responsibilities

• Build and manage relationships with frontier AI labs and highly technical customers.
• Translate customer needs into internal product and research priorities.
• Operate as a strategic partner to both external customers and internal technical teams.

Skills

ML and AI workflows understanding

Excellent communication

Technical curiosity

Relationship management

Education

Bachelor’s degree in computer science

Job description

Our organization is the only AI research lab exclusively focused on video data. Video already accounts for 80% of internet traffic and has become the dominant medium for creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video requires one thing above all else: high-quality training data. That is what we build!

About the Role

We’re hiring a Research & Product Lead to be a high-leverage generalist operator across the company. The role combines deep technical fluency with strong relationship skills, managing our most important customer accounts, driving cross-functional execution, and contributing wherever the company needs leverage. It sits at the intersection of product, applied research, customer engagement, and operations. You will be equally comfortable in a technical deep‑dive as you are shaping roadmap priorities, navigating a commercial conversation, or building out scalable internal systems. Because our customer base comprises the most technically demanding organizations in the world and the team is scaling fast, managing those relationships and the operations behind them requires someone who can operate as a peer with the engineers and researchers they work with, while also building the systems that let the company scale. The team is open to two candidate profiles:

• Generalist track: 1-2 years out of consulting (MBB or top tier), banking, or as an APM at an AI company, paired with an engineering degree and demonstrable technical curiosity.
• Across both tracks, the universal filter is high curiosity and high EQ.

What You’ll Own

• Build and manage relationships with frontier AI labs and highly technical customers.
• Translate customer needs into internal product and research priorities.
• Operate as a strategic partner to both external customers and internal technical teams.
• Drive cross‑functional execution across research, product, operations, and partnerships.
• Help identify operational bottlenecks and implement scalable systems and processes.
• Support high-priority strategic initiatives across the company.
• Work closely with researchers, engineers, and leadership on ambiguous, fast‑moving projects.
• Navigate technical conversations around datasets, model performance, infrastructure, and AI workflows.
• Help shape how the company scales customer engagement and internal operations as it grows.
• Contribute wherever needed as a high‑leverage generalist operator.

Requirements – Must Have

• Bachelor’s degree in computer science (or equivalent technical degree).
• Strong understanding of ML and AI workflows, particularly around data pipelines and model training.
• Enough technical depth to hold substantive conversations with engineers and researchers at frontier AI labs.
• Familiarity with how data quality, pipeline architecture, and dataset composition affect model training outcomes.
• Excellent written and verbal communication that commands credibility with senior technical stakeholders.
• Comfort translating between engineering and business audiences fluently.
• High curiosity and high EQ.
• Scrappy and able to pick things up on the job in a fast‑moving startup environment.
• In‑person at office premises 5 days a week.

Nice‑to‑Have

• Senior track: existing relationships at AI labs or frontier model companies.
• Generalist track: engineering degree paired with 1‑2 years at MBB, top consulting, banking, or as an APM at an AI company.
• Background in video, media, or content‑related technologies.
• Prior early‑stage startup experience, especially as an early hire who saw a customer‑facing function built from zero.
• Experience in product, technical operations, or a customer‑facing technical role.

Benefits & Perks

• Competitive compensation + equity.
• Health insurance.
• Free lunch and dinner.