---
title: 'Staff Software Engineer (Cloud API) at Cyberhaven'
canonical: 'https://feeny.ai/job/staff-software-engineer-cloud-api-cyberhaven-san-francisco-6r9azb5vas2d'
type: 'job'
last_seen: '2026-10-15'
---

# Staff Software Engineer (Cloud API) at Cyberhaven

- **Company:** Cyberhaven
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/cyberhaven/ab09fe7c-c436-40f8-894c-fc1348fbffa9

## Job description

## About the Role

We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges!

## What You'll Do

- You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents.
- You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data.
- You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills.
- You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more.
- You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.

## Who You Are

- Proven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred.
- AI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred.
- Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications.
- Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.
- Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust.
- Database Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus.
- Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms.
- API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes.
- Communication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US.

Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

## About Cyberhaven

## Company Overview
- **One-liner**: Cyberhaven provides an AI-native data security platform that unifies Data Loss Prevention (DLP), Data Security Posture Management (DSPM), Insider Risk Management (IRM), and AI Security to protect sensitive data across endpoints, cloud, SaaS, and AI tools.
- **Entity Type**: Private (Venture Capital-backed)
- **Headquarters**: Mountain View, California, USA
- **Founded**: 2016
- **Founders**: Dr. Volodymyr Kuznetsov (CEO), Nishant Doshi (CTO)

## Core Business
- **Primary industry**: Cybersecurity (Data Security, AI Security)
- **Target customers**: B2B, Enterprise, Mid-Market
- **Mission or purpose statement**: To secure data and secure AI, enabling organizations to protect their most sensitive information wherever it lives and goes, without blocking innovation.

## Products & Services
- **Cyberhaven AI & Data Security Platform**: A unified, AI-native platform that combines Data Loss Prevention (DLP), Data Security Posture Management (DSPM), Insider Risk Management (IRM), and AI Security. The platform uses a unique "data lineage" technology to trace the full lifecycle of sensitive data—where it originates, how it moves, and who uses it—across endpoints, cloud, on-premises, SaaS, and AI tools.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company).
- **Key Metric**: Total Funding raised (amount not specified in search results, but backed by notable investors).
- **Notable Investors/Partners**: The company is backed by prominent venture capital firms, though specific names were not detailed in the provided search results. Leadership includes a VP of Engineering from Meta and a former CIO/author Mark Settle on the team.
- **Growth Signals**: The company has a significant global presence with offices in Mountain View (HQ), Austin, Denver, Bangalore, Romania, and Switzerland. It employs 237 total employees, with 125 in Product + Tech roles, indicating a strong engineering focus. The company is actively hiring across multiple roles (Engineering, Sales, Support), signaling growth.

## Competitive Advantages
- **Data Lineage Technology**: Cyberhaven’s core differentiator is its "data lineage" technology, which records every event for every piece of data (moves, copies, edits, shares) to understand its full context and risk, rather than just monitoring at the perimeter.
- **Unified Platform**: It combines DSPM, DLP, IRM, and AI Security into a single platform, providing comprehensive visibility and control that competitors often offer as separate, siloed products.
- **AI-Native Approach**: The platform is built from the ground up to handle the complexities of AI tool usage (shadow AI, data leaks to LLMs), a rapidly growing and critical market need.

## Strategic Focus
- **AI Security Leadership**: Cyberhaven is heavily focused on enabling secure AI adoption. A key priority is helping enterprises understand and control "shadow AI" usage, assess AI risk posture, and prevent data leaks to AI tools without blocking productivity.
- **Unified Data Security**: The company is moving away from siloed security tools, aiming to be the single, unified platform for all data security needs, from discovery and classification to real-time protection and insider threat detection.
- **Global Expansion**: With offices in the US, Europe, and India, the company is scaling its global workforce to support a growing international customer base.

## Why Work Here
- **Culture & Values**: Cyberhaven describes its employees as "Tracers," emphasizing a culture of curiosity, creativity, and drive. The company values solving ambitious challenges at the intersection of AI, security, and scale.
- **Work Policy**: Cyberhaven offers a hybrid work model. Employees within 45 miles of the Bay Area (Mountain View) or Austin offices are expected to work on-site 2 days a week. Remote roles are also available for other locations.
- **Global Team**: With hubs in Mountain View (HQ), Austin, Denver, Bangalore, Romania, and Switzerland, the company offers a diverse, global work environment.
- **Engineering Focus**: With over half of its employees in Product + Tech roles, the company is heavily engineering-driven, offering challenging work on a complex, high-scale data platform.

## Sources
1. [cyberhaven.com](https://www.cyberhaven.com/)
2. [cyberhaven.com](https://www.cyberhaven.com/about)
3. [cyberhaven.com](https://www.cyberhaven.com/careers)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/cyberhaven)
5. [builtin.com](https://builtin.com/company/cyberhaven)

## Other roles at Cyberhaven

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