O

Outset

AI-driven interview solution for candidate evaluation

Platform Security Engineer

Full-Time
$210k - $300k/yr
Mid
San Francisco, CA, USA
Hybrid
CybersecuritySecurity Engineering & Architecture, Security Operations & Incident Response

About the job

Requirements
  • Hands-on experience in application security, cloud security, infrastructure security, or security-focused site reliability engineering.
  • Experience securing production systems in AWS, including familiarity with identity, networking, logging, data protection, and common cloud attack paths.
  • Strong working knowledge of Terraform and infrastructure-as-code security practices.
  • Ability to assess security across infrastructure and application layers.
  • Experience reviewing application architecture or source code for security vulnerabilities and design weaknesses.
  • Familiarity with common application, API, authentication, authorization, and data-security risks.
  • Experience investigating complex technical events using application logs, cloud telemetry, audit trails, and other security data.
  • Experience writing, tuning, or responding to SIEM detection rules.
  • Ability to distinguish meaningful security signals from expected production behavior and noisy telemetry.
  • Experience evaluating penetration-test findings, determining their practical risk, and partnering with engineers on remediation.
  • Strong scripting or software-development skills for building security tools, automations, and integrations.
  • Demonstrated proficiency with agentic software development.
  • Sound judgment when balancing security risk, operational reliability, engineering effort, and product priorities.
  • Clear written and verbal communication, including the ability to explain technical risks and recommended actions to engineering and non-engineering stakeholders.
  • A collaborative approach that helps engineering teams build safer systems and make informed security decisions.
Responsibilities
  • Identify, assess, and help remediate security risks across AWS infrastructure, Terraform code, application architecture, and product code.
  • Partner with engineering teams to design secure systems and incorporate security into normal development and operational workflows.
  • Participate in security reviews of RFC and PRR documentation, providing actionable feedback on architecture, data flows, access controls, abuse cases, and technical risk.
  • Review application and infrastructure changes where additional security scrutiny is warranted.
  • Participate in external penetration tests, including preparation, technical coordination, analysis of findings, remediation planning, and validation of fixes.
  • Help improve the effectiveness and repeatability of the penetration-testing program, with the opportunity to assume ownership over time.
  • Serve as the lead platform investigator during security and privacy incidents, working within the incident-response process led by the Head of Security.
  • Analyze application, cloud, identity, network, audit, and infrastructure telemetry to determine incident scope, impact, and root cause.
  • Translate investigation findings into containment actions, durable remediations, improved detections, and technical documentation.
  • Contribute to the design, implementation, tuning, and maintenance of SIEM detection rules monitoring the platform.
  • Investigate and respond to alerts involving AWS infrastructure, application behavior, access patterns, data movement, and other platform activity.
  • Improve logging and telemetry where existing data is insufficient to detect threats or investigate incidents.
  • Develop security tooling and automation that help engineers identify and address vulnerabilities earlier.
  • Partner with SRE and engineering teams on cloud configuration, identity and access management, secrets management, vulnerability management, and infrastructure hardening.
  • Help establish practical security standards that reduce risk without unnecessarily slowing product development.
Desired Qualifications
  • Partner with IT Security in building and supporting each security domain.
  • Technical project management experience, including the ability to build a plan, clarify priorities, and lead a team of collaborators while executing with urgency.
  • Experience serving on a security or privacy incident-response team.
  • Experience leading technical investigations during security or privacy incidents.
  • SANS FOR509 training or certification.
  • Purple teaming experience, including using offensive findings to improve defensive coverage.
  • Experience owning or coordinating an external penetration-testing program.
  • Experience with threat modeling, detection engineering, cloud forensics, or security automation.

About the company

Outset.ai provides an AI-powered interview platform for HR that helps businesses assess candidates more efficiently. Its core tool is an AI interviewer that conducts interviews, asks dynamic follow-up questions, and categorizes responses to reveal deeper insights about a candidate’s fit. The system works by running interviews, generating follow-up prompts as needed, and analyzing answers to produce structured data and scoring to guide hiring decisions. What sets Outset.ai apart is its focus on an automatically conducted, adaptive interview process and organized response analysis, enabling HR teams of all sizes to streamline recruitment and rely on data-driven results rather than manual screening alone. The company aims to reduce the time and resources spent on candidate evaluation while increasing the accuracy and speed of hiring decisions.

Company Size

51-200

Company Stage

Series B

Total Funding

$52M

Headquarters

San Francisco, California

Founded

2022

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Simplify's Take

What believers are saying

  • Radical Ventures led Outset's $30 million Series B in December 2025, signaling investor conviction.
  • Outset claims 8x revenue growth in 2025 and serves Microsoft, Nestlé, Uber and HubSpot.
  • August 2026 launches added MCP integrations, visual intelligence, and prototype testing for expansion.

What critics are saying

  • OpenAI, Qualtrics, and Medallia can bundle conversational research, crushing Outset's pricing power quickly.
  • Digital Twins on August 27, 2026 raises trust, bias, and validity risks for enterprise buyers.
  • A single platform outage or model failure would halt interviews, synthesis, and customer insight delivery.

What makes Outset unique

  • Outset's AI interviewer runs adaptive, human-like interviews at survey scale across 40+ languages.
  • Digital Twins by Outset, launched August 27, 2026, turns qualitative responses into synthetic respondents.
  • Outset integrates recruitment, interviewing, synthesis, and fraud detection in one workflow.

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Benefits

  • Health Insurance
  • 401(k) Retirement Plan
  • Remote Work Options
  • Flexible Work Hours
  • Paid Vacation
  • Paid Holidays
  • Stock Options
  • Company Equity
  • Wellness Program
  • Mental Health Support
  • Gym Membership
  • Phone/Internet Stipend

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

8%

2 year growth

-4%
FinSMEs
Dec 11th, 2025
Outset Raises $30M in Series B Funding

Outset raises $30M in Series B funding. Outset, a San Francisco, CA-based provider of an AI-moderated research platform, raised $30M in Series B funding. The round was led by Radical Ventures, with participation from M12, Microsoft's Venture Fund, as well as previous investors Y Combinator, Adverb Ventures, and 8VC. The company intends to use the funds to expand operations and its development efforts. Led by CEO Aaron Cannon, Outset specializes in AI-moderated research, empowering research and product teams to understand people with depth, speed, and global scale. Its platform delivers AI-moderated interviews, synthesis, fraud detection, and live translation across more than 40 languages. The company says that this enables organizations to finally understand both the metric and its meaning, transforming CXM from a dashboard of scores into a continuous engine for insight, action, and improvement.

Starkville Daily News
Dec 10th, 2025
Outset raises $30M Series B to launch AI-native customer experience management platform

Outset, an AI-moderated research platform, has raised $30 million in a Series B round led by Radical Ventures, bringing total funding to $51 million. M12, Microsoft's Venture Fund, participated alongside previous investors Y Combinator, Adverb Ventures and 8VC. The San Francisco-based company is launching what it calls the world's first AI-native Customer Experience Management platform. Unlike traditional CXM platforms such as Qualtrics and Medallia that rely on multiple-choice metrics, Outset deploys AI agents that conduct human-like conversations with customers to uncover deeper insights. Founded in 2023, Outset supports over 40 languages and serves clients including Microsoft, Nestlé, Uber and HubSpot. The company achieved 8x revenue growth in 2025. The funding will accelerate global expansion and development of real-time customer insight products.

Intelligence360 News
Dec 5th, 2025
Parnassus Labs raises $18.6M in new funding round

Parnassus Labs, operating as Outset, has filed a notice with the US Securities and Exchange Commission for an exempt offering to raise $18.6 million in new funding. The filing was made under Rule 504 or 506 of Regulation D or Section 4(a)(5) of the Securities Act of 1933, which allows companies to sell securities without registration. Federal securities law requires such notices to be filed within 15 days after the first sale of securities in the offering. No additional details about the funding round, investors or the company's plans for the capital were disclosed in the filing.

MR Web
Jun 12th, 2025
Daily Research News Online

In San Francisco, AI-moderated research platform Outset has announced a $17m Series A round, which it will use to expand its team and accelerate product expansion.

Traumjob
Jun 11th, 2025
Outset raises $17M to replace human interviewers with AI agents for enterprise research

Outset raises $17M to replace human interviewers with AI agents for enterprise research.