Full-Time

Analytics & Go-To-Market Operations Lead

DepthFirst

DepthFirst

51-200 employees

AI-native security platform detecting vulnerabilities

No salary listed

San Francisco, CA, USA

In Person

Category
Sales & Account Management (1)
Required Skills
Data Visualization
SQL
Data Engineering
Salesforce
Data Modeling
Data Analysis

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Requirements
  • Experience working in analytics at a scaling business-to-business company and anticipating data infrastructure and analytics needs over the next approximately three years.
  • Ability to understand how data is captured and structured in Salesforce, including its underlying logic, and recommend improvements when the current solution is not optimal.
  • Ability to pair analytics with commercial intuition and produce practical recommendations from data.
  • Willingness to use artificial intelligence to increase leverage and improve analytics.
  • Ability to code and fluency in SQL, data modeling, and Salesforce.
  • Background in engineering, computer science, statistics, or a similar field.
  • Commitment to the company’s software security mission.
  • Based in San Francisco or willing to relocate.
Responsibilities
  • Design and build the data foundation from scratch, including Salesforce objects and fields for attribution, a data warehouse, data models, and data pipelines.
  • Design and build an attribution model across marketing, outbound, and partner channels to show each channel or campaign’s contribution to pipeline and revenue.
  • Design and implement account and lead lifecycles to deliver the right message to the right audience at the right time.
  • Build reporting and dashboards used by leadership, sales, and marketing for day-to-day and strategic decisions.
  • Partner proactively with marketing and sales to identify ways to improve performance.

DepthFirst (Patcherai) offers an AI-native security platform called General Security Intelligence (GSI) that analyzes a company’s code, infrastructure, and business logic to identify and remediate vulnerabilities. It uses AI-powered agents to build a deep contextual model of a system, enabling detection of complex issues such as business logic flaws and backdoors that traditional static tools might miss. The platform surfaces actionable fixes that can be merged directly into developers’ workflows, while reducing false positives and increasing true positives. Delivered as a SaaS to support DevSecOps, its goal is to secure software against automated and autonomous threats and improve security and developer efficiency; the company raised $40 million in Series A in January 2026 to scale R&D, go-to-market, and hiring.

Company Size

51-200

Company Stage

Series B

Total Funding

$140.8M

Headquarters

San Francisco, California

Founded

2024

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Simplify's Take

What believers are saying

  • DepthFirst raised $80 million Series B on March 31, 2026, totaling $120 million.
  • It won customers including ClickUp, Lovable, Supabase, incident.io, and Moveworks.
  • Open Defense credits and FFmpeg vulnerability findings strengthen product credibility and inbound demand.

What critics are saying

  • DepthFirst faces 124 competitors, including Snyk, Veracode, Checkmarx, and Chainguard.
  • Its enterprise pitch depends on proving false-positive reduction and remediation quality at scale.
  • If attackers bypass Dependency Firewall or model outputs misfire, customers abandon autonomous security.

What makes DepthFirst unique

  • DepthFirst inspects code, infrastructure, and business logic, not just signatures.
  • Its Dependency Firewall blocks malicious packages before installation across developers and AI agents.
  • It ships ready-to-merge fixes and dedicated models like dfs-mini1 for security.

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Benefits

Health Insurance

Vision Insurance

Dental Insurance

Meal Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

0%

2 year growth

0%
Business Wire
Jun 1st, 2026
depthfirst launches Dependency Firewall to block malicious open-source packages before installation

San Francisco-based depthfirst has launched Dependency Firewall, a product that reviews and blocks malicious open-source packages before they're installed across a company. The system inspects every package download, regardless of who is installing it, and returns a verdict before installation, allowing approved packages through whilst quarantining suspicious ones and blocking malicious code. The firewall addresses growing security risks as attackers exploit open-source trust by publishing packages that mimic popular libraries. Verizon reported that 48% of data breaches in its 2026 DBIR involved ransomware, with malware attacks surging recently. Dependency Firewall uses depthfirst's agentic defence platform, which previously discovered NGINX Rift, an 18-year-old vulnerability. The company has raised $120 million from investors including Meritech Capital, Accel and Forerunner Ventures.

Business Wire
May 12th, 2026
depthfirst commits $5M in credits to help open source projects find and fix zero-day vulnerabilities

depthfirst, an applied AI security lab, has launched the Open Defense Initiative, committing up to $5 million in platform credits to help open source projects discover and fix vulnerabilities. The programme targets widely deployed infrastructure software where vulnerabilities would have significant downstream impact. The company disclosed it identified 12 previously unknown memory corruption vulnerabilities in FFmpeg using approximately $1,000 in compute, compared to Anthropic's reported $10,000 spend for similar scanning. Some vulnerabilities dated back to 2009, and patches were autonomously generated by depthfirst's platform. The initiative is currently partnering with maintainers of FFmpeg, Envoy and Kata Containers, whilst proactively analysing projects including Linux, OpenSSH and PostgreSQL. depthfirst has raised $120 million from investors including Meritech Capital, Accel and Forerunner Ventures. Maintainers can apply at opendefense.dev.

Business Wire
Apr 1st, 2026
Applied AI Lab depthfirst Announces $80 Million in Series B Funding

depthfirst, an applied AI lab on a mission to secure the world’s software, today announced its $80M Series B round, led by Meritech Capital, with participati...

Forbes
Mar 31st, 2026
Depthfirst raises $120M at $580M valuation to build AI defence against AI hackers

Depthfirst, an AI cybersecurity startup, has raised $80 million at a $580 million valuation, just two months after a $40 million Series A round. The company is developing "General Security Intelligence" to autonomously detect vulnerabilities and defend against malicious AI attacks. Founded in 2024 by former Google Deepmind researcher Andrea Michi, former Databricks security head Qasim Mithani, and ex-Block cybersecurity chief Daniele Perito, Depthfirst builds AI models from scratch using reinforcement learning rather than adapting existing large language models. The company has over 20 customers and claims 300% revenue growth over the past two quarters. Depthfirst is launching its first in-house model this week, targeting security weaknesses in cryptocurrency smart contracts. Meritech Capital led the Series B round, with total funding now exceeding $120 million.

Startup Weekly
Jan 16th, 2026
depthfirst raises $40M Series A to secure software with AI-powered threat detection

depthfirst, an applied AI lab focused on software security, has raised $40 million in a Series A round led by Accel. Alt Capital, BoxGroup, Liquid 2 Ventures, Mantis VC and SV Angel participated, alongside angel investors including Jeff Dean and Kirsten Green. Founded in 2024, depthfirst has developed a General Security Intelligence platform that detects, triages and remediates vulnerabilities across software and infrastructure. The company's AI agents uncover eight times more true-positive vulnerabilities than traditional static analysis tools whilst reducing false positives by 85 per cent. The founding team includes technical leaders from Google DeepMind, Databricks and Faire. The funding will support research and development, go-to-market efforts and hiring across applied research, engineering, product and sales.