---
title: 'Member of Technical Staff, Security at Sieve'
canonical: 'https://feeny.ai/job/member-of-technical-staff-security-sieve-san-francisco-e2harr8bzd5w'
type: 'job'
last_seen: '2026-11-12'
---

# Member of Technical Staff, Security at Sieve

- **Company:** Sieve
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-12
- **Last confirmed live:** 2026-11-12
- **Apply:** https://jobs.ashbyhq.com/sieve/7527c65c-6298-41a3-9999-9b246637e242

## 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, Swift Ventures, Y Combinator, and AI Grant.

## Why Now

- Frontier technology: Help protect the data that supports advances in AI, from generative media to robotics.
- Research and engineering: Work alongside teams building data collection systems, distributed infrastructure, and tools for AI research and customer delivery.
- Velocity and ownership: Shape the security roadmap, influence architecture, and carry improvements from design through production as our systems evolve.
- Strong team culture: Collaborate directly with a close-knit team focused on helping AI understand and interact with the world.

## About the Role

As a Security Engineer at Sieve, you will serve as the technical and strategic owner of our security program. Your mission is to protect the data, infrastructure, and applications that help AI understand and interact with the world. Every control you build supports the trust of our contributors, partners, and customers. Sieve builds training data for AI across video, audio, images, and robotics. Our work spans real-world data collection, large-scale processing, and customer delivery across cloud infrastructure, applications, and recording devices. You will secure this full lifecycle, including sensitive recordings, untrusted uploads, and access across customer and partner organizations. This is a hands-on role with ownership of both strategy and implementation. We are looking for a security engineer with a builder's mindset who wants to set the standard for protecting the data behind frontier AI.

## What You'll Do

- Secure systems at scale: Partner with product, infrastructure, and research teams to design, implement, and improve secure systems at scale.
- Detection and response: Build and operate detection and response capabilities.
- Incident command: Serve as incident commander for high-severity security incidents, coordinating investigation, containment, and remediation.
- Hands-on engineering: Write code, strengthen security foundations, and help engineering teams build and release software securely.

## Requirements

Significant security experience

- 8+ years of progressive experience in security engineering, including technical ownership of security initiatives in production
- Demonstrated expertise in cloud security across GCP, AWS, or Oracle Cloud, and container security with Docker and Kubernetes
- Hands-on experience building and operating detection and response pipelines and handling incidents from investigation through recovery
- Deep understanding of networking, authentication, authorization, encryption, and identity-based access for people, services, and automation
- Familiarity with SOC 2, ISO 27001, and privacy requirements, with the ability to translate them into technical controls
- Strong programming skills in Python, Go, or a comparable language, with experience automating security controls and securing software delivery

Technical leadership

- Ability to design network isolation, cloud permissions, and customer access boundaries that enforce least privilege across infrastructure and applications
- Proven ability to define a security roadmap that balances research and engineering speed, customer commitments, compliance, and business risk
- Track record producing clear security metrics, audit evidence, and risk updates that help leadership make informed decisions

Collaboration and mindset

- Clear verbal and written communication, with the ability to explain security risks and tradeoffs to technical and nontechnical audiences
- Comfortable partnering with product, infrastructure, research, data operations, and legal teams to embed security throughout the stack
- Ability to lead cross-functional initiatives and mentor engineers through design reviews, practical guidance, and hands-on implementation
- Thrives amid rapid change and ambiguity, where sound technical judgment and practical risk reduction matter more than checklists
- In person at our SF HQ

Bonus

- Hands-on experience in hardware security for recording devices and embedded systems, including device authentication, encryption key protection, secure firmware updates, and physical tampering defenses

## Benefits

- 401k + Full Health Insurance
- Breakfast, Lunch, and Dinner covered and 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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