---
title: 'International Field Operations Lead at Sieve'
canonical: 'https://feeny.ai/job/international-field-operations-lead-sieve-san-francisco-5d8bmewazaa2'
type: 'job'
last_seen: '2026-10-15'
---

# International Field Operations Lead at Sieve

- **Company:** Sieve
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/sieve/025b0b10-6072-41ab-bcad-6fb4774b973b

## Job description

## About Us

Sieve is a multimodal lab curating the world’s highest-quality training datasets, spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure with novel multimodal understanding techniques to push the frontier of foundation models. We exist to solve one of the biggest bottlenecks in AI: high-quality training data. We partner with top AI labs and did $XXM last quarter alone, with a team of roughly 40 people. We raised our Series A from firms including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.

## Why Now

We’re standing up data operations internationally — recording footage, hiring people on the ground, and building the local capacity those programs need. That work won’t scale from SF alone. We need someone who’s done on-the-ground ops and can expand teams internationally without waiting for a perfect playbook.

## About the Role

We’re hiring an International Field Operations Lead to help build and expand Sieve’s on-the-ground operations abroad. You’ll help set up local collection (including recording footage), hire and manage people in-market, and turn early international efforts into reliable operating systems. This is a hands-on ops role for someone with direct field experience — not a remote-only coordinator. You’ll travel when needed, solve problems in the moment, and build the teams and processes that make international data collection repeatable.

## What You’ll Do

- Stand up international ops: Help launch and expand on-the-ground operations in priority markets, including footage recording and related collection workflows.
- Hire and grow local teams: Source, hire, onboard, and manage people in-market; build the staffing model as volume grows.
- Own day-to-day field execution: Solve logistics, quality, scheduling, and vendor/partner issues so collection stays on track.
- Build repeatable playbooks: Turn one-off market launches into documented processes for hiring, training, quality control, and escalation.
- Partner with SF product and ops: Translate project requirements into field plans; feed back what’s working and what breaks in-market.
- Scale carefully: Balance speed with quality, compliance, and contributor/operator experience as we expand.

What Success Looks Like

- Live international ops that reliably deliver footage and other required data
- Local teams hired, trained, and producing without constant firefighting from SF
- Clear playbooks for launching and expanding into new markets
- Improving quality, throughput, and time-to-launch across sites
- Strong coordination between field teams and SF stakeholders

## Requirements

- Direct on-the-ground operations experience, ideally expanding teams internationally
- Track record hiring and managing people in the field (contractors, vendors, or full-time)
- Comfort with ambiguity, travel, and building systems where none exist yet
- Strong operator instincts: logistics, quality, people management, and follow-through
- Clear communicator across time zones and cultures
- Based in San Francisco or willing to relocate; able to travel internationally as needed

## Nice to Have

- Experience in data collection, media production, field research, marketplace ops, or logistics in emerging markets
- Prior work standing up ops in multiple countries
- Familiarity with physical AI, robotics, or AI training data workflows
- Language skills relevant to priority markets

## Benefits

- 401(k) and full health insurance
- Breakfast, lunch, and dinner covered, plus your choice of snacks
- Ubers covered home

*All roles at Sieve require you to be onsite in San Francisco 5 days per week

## About Sieve

## Company Overview
- **One-liner**: Sieve is an AI research lab and platform focused on building high-quality multimodal data (video, audio, image, and interaction data) and infrastructure for training frontier AI models.
- **Entity Type**: Private (Seed-stage)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2022
- **Founders**: Mokshith Voodarla (CEO) and Abhinav "Abhi" Ayalur (CTO)

## Core Business
- Primary industry: Artificial Intelligence / Data Infrastructure / Computer Vision
- Target customers: Frontier AI labs, Fortune 100 companies, and fast-growing AI startups working on generative media, robotics, computer use, world models, and agentic systems (primarily B2B Enterprise).
- Mission statement: To build the data and environments that frontier AI labs use to train the next generation of multimodal systems.

## Products & Services
- **Sieve Platform (sievedata.com)**: A development platform to discover, design, and run AI features at scale. It offers pre-built, production-ready apps and models (e.g., `sieve/speech_transcriber` for transcription, `sieve/seamless_text2text` for translation) that can be used via a single API call. The platform provides no-code interfaces, reliable infrastructure, and primitives like queues and async jobs. It is focused on making it easy to combine multiple AI models into complex applications (e.g., video dubbing, translation). [docs.sievedata.com]
- **Sieve Data Lab (sieve.ai)**: A multimodal data lab offering high-quality video, audio, image, and interaction datasets for frontier AI. Services include custom data collection, indexing billions of data points, filtering for semantics and rights, adding dense annotations (transcripts, object labels, UI events), and secure delivery with end-to-end encryption and SOC 2 Type 2 compliance. [sieve.ai]
- **Video AI API (Beta)**: A recently launched API that allows developers to use Sieve's pre-built AI apps and models for video processing in a single call. [sievedata.com]

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Raised approximately **$4M** in a seed round in 2022. [ycombinator.com, sievedata.com]
- **Notable Investors/Partners**: Y Combinator (Winter 2022 batch, with Diana Hu as Primary Partner), AI Grant (Nat Friedman & Daniel Gross). [ycombinator.com, sieve.ai/about]
- **Growth Signals**: The company has evolved from a general AI platform to a specialized research lab focusing on the critical bottleneck of training data for multimodal AI. It has attracted the trust of "frontier AI labs, Fortune 100 companies, and fast-growing AI startups." The team size is listed as 18 on Y Combinator (2022) and they are actively hiring for multiple engineering roles through the end of 2026, indicating scaling. [ycombinator.com, jobs.ashbyhq.com]

## Competitive Advantages
- **Focus on Data as a Moat**: Sieve is explicitly structured as a "research lab exclusively focused on video data," identifying that high-quality training data is the primary bottleneck for the next generation of AI (video, audio, robotics, agentic systems). [ycombinator.com]
- **End-to-End Data Service**: They provide a complete pipeline from custom collection and indexing to dense annotation and secure delivery, unlike many competitors who only offer one piece.
- **Deep Research Partnerships**: The team works directly with leading AI researchers to understand model bottlenecks and design high-signal datasets, creating a tight feedback loop between research needs and data production.
- **Strong Founder-Market Fit**: Founders Mokshith Voodarla (Scale AI, NVIDIA) and Abhinav Ayalur (NVIDIA, Niantic) have direct experience in building computer-vision systems and experiencing the data difficulties first-hand.

## Strategic Focus
- **Deliver Training Data for Frontier AI**: Sieve’s current priority is to scale its exabyte-scale infrastructure and novel multimodal understanding techniques to create datasets for video, audio, images, software, robotics, and interactive worlds. [sieve.ai/about]
- **Enable Complex AI Use Cases**: The platform side focuses on making it easy for developers to combine multiple models to build production-ready AI features (like translation, dubbing) quickly.
- **Data Security and Compliance**: Emphasizing secure, compliant data delivery with SOC 2 controls is a key priority for servicing Fortune 100 companies.

## Why Work Here
- **Culture**: The company describes itself as "tight-knit, fast-moving, and deeply customer-oriented." It is a "research lab to the core," combining frontier research with infrastructure and customer partnership. [sieve.ai/about]
- **Team**: The team brings together experience from NVIDIA, Scale AI, Zoox, and Niantic, providing exposure to top-tier expertise in AI and infrastructure. [sieve.ai/about]
- **Impact**: Employees will be working on the critical layer of data for the next generation of AI models (generative media, robotics, agents), offering a rare position at the forefront of AI research. [ycombinator.com]
- **Remote/Hybrid/Office**: The company is based in San Francisco, CA.
- **Open Roles**: As of mid-2026, they are actively hiring for **Applied Research Engineer**, **Distributed Systems Engineer**, **Product Engineer**, and **Software Engineer**, with salary ranges listed as $150K - $300K depending on role and experience. [jobs.ashbyhq.com, ycombinator.com]

## Sources
1. [docs.sievedata.com](https://docs.sievedata.com/guide/intro)
2. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/sieve)
3. [sieve.ai](https://www.sieve.ai/)
4. [sieve.ai/about](https://www.sieve.ai/about)
5. [ycombinator.com](https://www.ycombinator.com/companies/sieve)

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