---
title: 'Growth Operations Lead at Sieve'
canonical: 'https://feeny.ai/job/growth-operations-lead-sieve-san-francisco-17bck6vxv3dy'
type: 'job'
last_seen: '2026-09-17'
---

# Growth Operations Lead at Sieve

- **Company:** Sieve
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-17
- **Apply:** https://jobs.ashbyhq.com/sieve/91af747a-2f9e-4eff-a03a-be0447e9594a

## 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 30 people. We raised our Series A from firms including [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

AI’s next wave needs data from people with real skills, creative expertise, and access to the physical world. Building a contributor network that can meet that demand is central to Sieve’s growth. You’ll join early enough to build the systems that shape how contributors discover Sieve, start earning, and keep coming back. Your work will directly expand the data available to the world’s leading AI labs.

## About the Role

We’re hiring a Growth Operations Lead to build and own growth for our contributor platform. You’ll run experiments to acquire contributors, improve activation and retention, and develop supply-side partnerships across physical AI and media generation. This is a hands-on role for someone who can build from scratch. You’ll find creative ways to reach contributors, test what works, and turn successful experiments into repeatable systems. You should be equally comfortable launching a campaign, digging into funnel data, improving onboarding, and pitching a potential partner.

## What You’ll Do

- Run growth experiments: Develop and test acquisition channels across outbound, referrals, communities, content, paid campaigns, and unconventional growth tactics.
- Build growth systems from scratch: Create the tooling, automation, tracking, and playbooks that turn successful experiments into repeatable contributor acquisition.
- Improve activation and retention: Identify where contributors drop off, shorten the path to a first paid task, and build programs that keep them engaged and contributing.
- Develop supply-side partnerships: Source, pitch, and launch partnerships with studios, creator networks, specialist firms, and organizations that can bring contributors and data into Sieve.
- Expand supply across physical AI and media generation: Translate emerging project needs into targeted campaigns and partnerships that bring in the right skills, access, and expertise.
- Own growth measurement: Track acquisition cost, conversion, activation, retention, and contribution quality; use the results to decide what to scale or stop.
- Work across product and operations: Turn contributor feedback and experiment results into improvements to onboarding, communication, incentives, and the platform experience.

What Success Looks Like

- Consistent growth in qualified, active contributors who complete paid tasks
- Higher conversion from signup to first paid task and a shorter time to activation
- Stronger 30/60/90-day retention and repeat participation
- Multiple repeatable acquisition channels with measurable costs and results
- Active partnerships that deliver relevant contributors and usable data
- Growth systems that support increasing volume while maintaining contributor quality

## Requirements

- Experience owning growth, growth operations, or marketplace supply, with a track record of building programs from scratch
- Demonstrated ability to design experiments, launch quickly, measure results, and scale what works
- Strong analytical skills; comfortable working with funnel data, cohorts, dashboards, and acquisition economics
- Hands-on experience with outbound tools, CRMs, lifecycle messaging, and workflow automation
- Strong communication and commercial instincts; comfortable recruiting early contributors and closing partnerships yourself
- Resourceful, self-directed, and willing to handle the operational details needed to get a new initiative off the ground
- Based in San Francisco or willing to relocate

## Nice to Have

- Experience growing the supply side of a marketplace, contributor platform, creator network, or expert community
- Familiarity with physical AI, robotics, media generation, or AI training data
- Experience building referral programs, contributor communities, or retention campaigns
- Existing relationships with creative studios, professional communities, or organizations relevant to data collection
- Ability to use SQL, scripting, or AI tools to analyze data and build lightweight internal tools

## 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)

## Other roles at Sieve

- [Member of Technical Staff, Applied Research](https://feeny.ai/job/member-of-technical-staff-applied-research-sieve-san-francisco-s3yyc001h6zv) — San Francisco, CA
- [Business Operations](https://feeny.ai/job/business-operations-sieve-san-francisco-3grm8yt8g6j4) — 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, Machine Learning](https://feeny.ai/job/member-of-technical-staff-machine-learning-sieve-san-francisco-1hgtcn0595d1) — San Francisco, CA
- [Member of Technical Staff, Forward Deployed](https://feeny.ai/job/member-of-technical-staff-forward-deployed-sieve-san-francisco-kcexg4yd4whn) — San Francisco, CA
- [Product Operations Lead](https://feeny.ai/job/product-operations-lead-sieve-san-francisco-3sj7sbk4ncqa) — San Francisco, CA
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- [Research & Product Lead](https://feeny.ai/job/research-product-lead-sieve-san-francisco-vcvayswg9p90) — San Francisco, CA