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Research & Product Lead

Sieve · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Sieve's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: San Francisco
Company website: matrix.vc

Hiring context

How this role compares at Sieve

Sieve has 10 live roles in MeritLog’s catalog across 5 job families, and 1 of them is in product. 7 of those listings publish a pay range, a disclosure rate of 70%.

Sieve concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

Own and grow relationships with Sieve's top AI lab customers end-to-end, from onboarding through expansion
Serve as the technical point of contact, understanding customer data pipelines, model training workflows, and how Sieve's datasets fit into their stack
Translate customer feedback and requirements into clear internal briefs for engineering and data ops
Drive renewals and upsells by identifying new dataset needs and partnership opportunities within existing accounts
Collaborate closely with the partnerships, engineering, and data ops teams to ensure customer deliverables are met on time and at quality
Contribute to sales processes for new customers including demos, technical scoping, and proposal development

What they're asking for

Strong understanding of ML/AI workflows, particularly around data pipelines and model trainingSkill
A natural relationship builder with a strong external network, especially across AI labs and frontier model companiesSkill
Excellent communication skills, able to translate between engineering and business audiences fluentlySkill
Comfortable with ambiguity and moving fast in a startup environmentSkill
In-person at our SF HQSkill
Existing relationships at AI labs or frontier model companiesSkillPreferred
Background in video, media, or content-related technologiesSkillPreferred
Prior startup experience, especially as an early hireSkillPreferred
Experience in product, technical operations, or a customer-facing technical roleSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

ABOUT US Sieve is a multi-modal lab curating the world's highest-quality training datasets - spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data. We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. WHY NOW Sieve is one of the most capital-efficient teams in AI - roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier. ABOUT THE ROLE As a Research & Product Lead, you'll be the primary face of Sieve to our customers, top AI labs building frontier models. You'll combine deep technical fluency with strong relationship skills to manage our most important accounts, drive revenue expansion, and translate customer needs into internal priorities. This role sits at the intersection of product, applied research, and customer engagement, and requires someone equally comfortable in a technical deep-dive as they are shaping roadmap priorities or navigating a commercial conversation. Relationships are central to this role. The strongest candidates will already be plugged into the AI lab ecosystem and have trust built with the people and teams we work with. What You'll Do - Own and grow relationships with Sieve's top AI lab customers end-to-end, from onboarding through expansion - Serve as the technical point of contact, understanding customer data pipelines, model training workflows, and how Sieve's datasets fit into their stack - Translate customer feedback and requirements into clear internal briefs for engineering and data ops - Drive renewals and upsells by identifying new dataset needs and partnership opportunities within existing accounts - Collaborate closely with the partnerships, engineering, and data ops teams to ensure customer deliverables are met on time and at quality - Contribute to sales processes for new customers including demos, technical scoping, and proposal development Requirements - Strong understanding of ML/AI workflows, particularly around data pipelines and model training - A natural relationship builder with a strong external network, especially across AI labs and frontier model companies - Excellent communication skills, able to translate between engineering and business audiences fluently - Comfortable with ambiguity and moving fast in a startup environment - In-person at our SF HQ Nice to Have - Existing relationships at AI labs or frontier model companies - Background in video, media, or content-related technologies - Prior startup experience, especially as an early hire - Experience in product, technical operations, or a customer-facing technical role Benefits - 401k + Full Health Insurance - Breakfast, Lunch, and Dinner covered and your choice of snacks - Ubers covered home

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