---
title: 'Country Lead at Sieve'
canonical: 'https://feeny.ai/job/country-lead-sieve-remote-mtfvhf9mg5jw'
type: 'job'
last_seen: '2026-10-29'
---

# Country Lead at Sieve

- **Company:** Sieve
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-10-29
- **Apply:** https://jobs.ashbyhq.com/sieve/f058eaad-e0cc-436b-b53b-736fa1feed66

## 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.

## Why Now

Physical AI needs footage of real people doing real work across a wide range of environments. Expanding that collection means building relationships with businesses, getting access to their spaces, and making deployments work on the ground. We’re looking for someone who can help build that capability in their country.

## About the Role

You’ll help secure access to environments where Sieve can deploy hardware to collect footage, then work alongside our team to get those sites up and running. You’ll combine local business development with hands-on field operations, taking opportunities from an introduction or a walk-in conversation through to a successful deployment. You might start with your own connections, ask for introductions, or go door to door to meet business owners. We’ll support you with hardware, training, and help moving partnerships forward. You’ll build the local playbook and serve as the main link between partners in your country and our U.S. team.

## What You’ll Do

- Find the right environments: Identify businesses, facilities, and workplaces that fit our collection needs, and reach the people who can approve access.
- Build relationships locally: Use your network, referrals, cold outreach, and door-to-door visits to meet owners and operators, explain what we’re doing, and earn their trust.
- Help run partnership sales cycles: Qualify opportunities, arrange site visits, address questions, follow up, and work with the U.S. team on terms and agreements that turn interest into confirmed access.
- Support deployments on the ground: Coordinate site schedules, hardware delivery and setup, operator onboarding, and day-to-day troubleshooting with support from our team.
- Keep collection running: Stay close to partners after launch, resolve practical issues, and coordinate required site permissions and participant consents with our team before recording begins.
- Build the country playbook: Document which environments and outreach approaches work, common objections, deployment steps, and lessons that make the next site easier to launch.
- Lead local coordination: Keep the U.S. team informed on the pipeline, site readiness, deployment progress, and blockers. Turn collection requirements into clear local plans and bring field feedback back to the team.

What Success Looks Like

- A growing pipeline of suitable environments and responsive local partners.
- Partnerships that turn into active sites producing usable footage.
- Deployments that run reliably, with issues surfaced and resolved quickly.
- A practical country playbook and clear coordination with the U.S. team.

## Requirements

- Existing relationships with business owners, industry groups, or local operators.
- Experience winning business or partnerships, running field operations, or building something locally from scratch.
- Comfortable approaching business owners directly, visiting sites, handling objections, and following through.
- Resourceful and proactive: you can find a way to reach the right person and keep work moving without a detailed playbook.
- Organized enough to manage outreach, partner relationships, and deployment details at the same time.
- Clear communication in English and the language or languages needed to work with local partners.
- Willingness to spend substantial time in the field and travel within the country as needed.

## Nice to Have

- Experience with hardware deployments, logistics, data collection, or marketplace operations.
- Experience coordinating with an international team across time zones.

## 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)

## Other roles at Sieve

- [Recruiting Ops Associate](https://feeny.ai/job/recruiting-ops-associate-sieve-san-francisco-e3h4mvdm6nac) — San Francisco, CA
- [Data Collection Partnerships Lead](https://feeny.ai/job/data-collection-partnerships-lead-sieve-san-francisco-6m4vwyfgbq4h) — San Francisco, CA
- [Member of Technical Staff, Computer Vision (Perception)](https://feeny.ai/job/member-of-technical-staff-computer-vision-perception-sieve-san-francisco-nbgf8j2bmke1) — San Francisco, CA
- [Member of Technical Staff, Robotics Research](https://feeny.ai/job/member-of-technical-staff-robotics-research-sieve-san-francisco-ersyyjx4yn04) — San Francisco, CA
- [Member of Technical Staff, Robotics](https://feeny.ai/job/member-of-technical-staff-robotics-sieve-san-francisco-rndazrv6c3xh) — San Francisco, CA
- [Operations Associate](https://feeny.ai/job/operations-associate-sieve-remote-p8f14g1ssyvt)
- [Industrial Partnerships Lead, Physical AI](https://feeny.ai/job/industrial-partnerships-lead-physical-ai-sieve-san-francisco-399z6fq1nh8x) — San Francisco, CA
- [Business Development](https://feeny.ai/job/business-development-sieve-san-francisco-crb7611fxcpw) — San Francisco, CA
- [Growth Associate](https://feeny.ai/job/growth-associate-sieve-india-8qjbpndm06dg) — India
- [Member of Technical Staff, Forward Deployed](https://feeny.ai/job/member-of-technical-staff-forward-deployed-sieve-san-francisco-kcexg4yd4whn) — San Francisco, CA