1,795,710open jobs
103,651companies
269,196added this week
Browse all
Salary
$240k – $280k per year
Location
Hybrid (Austin, Washington, United States)
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 18, 2026. HackerOne scores A on the Alion truth index.

Overview
Company
Impact
Profile match
HackerOne is a cybersecurity company that runs a platform connecting organisations with a global community of ethical hackers and security researchers. It offers bug bounty programmes, vulnerability disclosure, penetration testing and AI red teaming, and its customers include the U.S. Department of Defense, Google, GitHub, Microsoft and Nintendo. The company is headquartered in San Francisco, California, United States.
Backed by NEA, GP Bullhound

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).

HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.

HackerOne Values

HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partnersWin Together by fostering empowerment, inclusion, respect, and accountability.

Senior Manager, AI Engineering

Remote Location:

Austin, TX; or Washington, DC

Position Summary

HackerOne is redefining how the world’s leading organizations manage cyber risk - and AI is at the center of that transformation. As Senior Manager, AI Engineering, you will own two of the most strategically important product surfaces in our platform:

  • AI-Native Intelligence Dashboard - Transform our executive and analytical dashboard into an AI-first experience that helps customers derive maximum value from their HackerOne engagement. Think proactive risk insights, natural language querying, automated remediation prioritization, and measurable reduction in Mean Time to Remediate (MTTR).

  • Payments & Monetization - Lead the team responsible for researcher payments and consumption-based billing, ensuring security researchers are paid reliably and HackerOne’s contract monetization engine runs cleanly at scale.

You will lead the team of senior engineers, set technical direction, and ship AI-powered capabilities that customers can see, feel, and measure. This is a high-autonomy role with real product ownership and direct customer impact.

Reflecting our Flexible Work philosophy, this is a remote role targeted for candidates within ~50 miles of Washington DC, Boston, or Austin, with in-office presence typically on Thursdays.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of the listed locations above. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together - fostering collaboration, connection, and in-person moments that enrich our culture - while still preserving the benefits of remote work.

What You Will Do

Success in this role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne.

  • Multiply Your Impact by leading, mentoring, and developing Engineering Managers and senior engineers, building scalable systems and practices that allow teams to deliver AI-powered solutions consistently and independently

  • Own the Outcome for execution across multiple AI engineering teams, ensuring delivery commitments are met, dependencies are actively managed, and teams are accountable for customer-visible impact

  • Drive an AI First approach to engineering by embedding AI-powered workflows, agentic systems, and responsible AI practices into how teams design, build, and operate products

  • Practice Change Agility by guiding teams through evolving AI technologies, shifting priorities, and emerging security threats while maintaining clarity, momentum, and team health

  • Apply First Principles Problem Solving to complex AI and product challenges, breaking problems down to fundamentals and designing durable, scalable solutions rather than short-term workarounds

  • Leverage Data-Driven Decision Making to assess system performance, model quality, delivery outcomes, and operational health, using evidence to inform priorities and improvements

  • Collaborate cross-functionally with Product, Design, Data, Security Research, and other Engineering leaders to align AI engineering efforts with company strategy and customer needs

Minimum Qualifications

  • 5+ years of experience managing product engineering teams, including teams delivering AI-powered or data-intensive systems

  • Demonstrated experience leading teams with complex dependencies across engineering, product, and non-technical partners

  • Experience developing and mentoring Engineering Managers

  • Strong technical foundation in modern software systems that support AI-enabled products

Preferred Qualifications

  • Experience building or scaling applied AI systems in production environments

  • Familiarity with human-in-the-loop, agentic, or automation-driven workflows

  • Background in fintech, payments, or monetization systems

  • Experience with technologies in HackerOne’s core stack, including PostgreSQL, Rails, GraphQL, Apollo, and React

Compensation Bands:

Tier Guide

Base salary: $240,000 - $280,000

Job Benefits:

  • Health (medical, vision, dental), life, and disability insurance*

  • Equity stock options

  • Retirement plans

  • Paid public holidays and unlimited PTO

  • Paid maternity and parental leave

  • Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)

  • Employee Assistance Program

*Eligibility may differ by country

We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Visa/work permit sponsorship is not available.

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,795,710 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Austin
$205k – $225k per year • In office • Full-Time • 7+ years exp • Bachelor's Degree • San Francisco
Go
JavaScript
Kotlin
TypeScript
Databases
PostgreSQL
Apache Kafka
OpenSearch
Frontend
React.js
DevOps
AWS
Management
Slack
Apply
AI Engineer 2 days ago
$90k – $97k per year • In office • Full-Time • 5+ years exp • Dallas
AI/ML
LangChain
MLFlow
Computer Vision
NLP
Llama
TensorFlow
PyTorch
LLM
RAG
Machine Learning
DevOps
GCP
Azure
AWS
Apply
AI Engineer 2 days ago
$90k – $97k per year • In office • Full-Time • 5+ years exp • Atlanta
AI/ML
LangChain
MLFlow
Computer Vision
NLP
Llama
TensorFlow
PyTorch
LLM
RAG
Machine Learning
DevOps
GCP
Azure
AWS
Apply
$63k – $118k per year • Hybrid • Full-Time • 4+ years exp • Irving
Python
AI/ML
Vertex AI
Embeddings
Prompt Engineering
DevOps
Rest API
GCP
GitLab CI
Azure
CI/CD
AWS
Docker
Kubernetes
IAM
Apply
$101k – $183k per year • Hybrid • Full-Time • 10+ years exp • Atlanta
Python
AI/ML
Model Context Protocol
Vertex AI
Embeddings
Function Calling
AI Agents
Gemini
RAG
Google ADK
LLM Guardrails
Multi-Agent Systems
DevOps
Rest API
GCP
IAM
Apply
≈ $25k – $51k per year (Estimated) • In office • 7+ years exp • Bachelor's Degree • Bengaluru
JavaScript
TypeScript
AI/ML
AI Agents
Machine Learning
Frontend
Angular
DevOps
Azure
SOAP
Cybersecurity
Active Directory
LDAP
Management
ServiceNow
Agile
ITIL
ITSM
Apply
≈ $18k – $41k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Bengaluru
JavaScript
TypeScript
AI/ML
AI Agents
Machine Learning
Frontend
Angular
DevOps
Azure
SOAP
Cybersecurity
Active Directory
LDAP
Management
ServiceNow
Agile
ITIL
ITSM
Apply
≈ $88k – $175k per year (Estimated) • In office • 7+ years exp • Bachelor's Degree • Las Vegas
Python
PowerShell
AI/ML
AI Agents
DevOps
GCP
Azure
AWS
IAM
Windows
DNS
Cybersecurity
Crowdstrike
CyberArk
Zero Trust
Least Privilege
Microsoft Entra ID
Active Directory
SIEM
Apply
In office • Bengaluru
AI/ML
Function Calling
AI Agents
LLM
RAG
Tool Use
Apply
≈ $133k – $233k per year (Estimated) • Remote (United States) • Full-Time • 8+ years exp • Bachelor's Degree • United States
AI/ML
Model Context Protocol
Prompt Engineering
Function Calling
AI Agents
RAG
Hallucination
Human-in-the-Loop
LLM Guardrails
Agentic Workflows
Management
Agile
Apply
$216k – $280k per year • Equity • Remote (United States) • Full-Time • PhD • Austin • Seattle • San Francisco • Washington • Boston
AI/ML
AI Agents
Anthropic
Red Teaming
DevOps
AWS
Apply
$180k – $220k per year • Equity • Hybrid • Full-Time • 5+ years exp • PhD • Seattle • Washington
Python
AI/ML
AI Agents
LLM
Anthropic
Red Teaming
DevOps
Terraform
AWS
IAM
Cybersecurity
Okta
ISO 27001
PCI DSS
SOC 2
HIPAA
Least Privilege
Management
Google Workspace
Apply
$223k – $272k per year • Equity • Remote (United States, PT hours) • Full-Time • 12+ years exp • PhD • San Francisco • Seattle • Austin
AI/ML
AI Agents
Anthropic
Red Teaming
DevOps
GitHub
Apply
AI Product Manager 2 months ago
$32k – $39k per year • Equity • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Pune
SQL
AI/ML
AI Agents
LLM
Anthropic
Human-in-the-Loop
Red Teaming
Apply
$163k – $220k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Austin
AI/ML
Together AI
DevOps
AWS
Apply
$98k – $195k per year • Hybrid • Full-Time • 6+ years exp • Master's Degree • Chicago • Austin • New York
DevOps
Azure DevOps
Azure
Management
Smartsheet
Jira
Scrum
Apply
≈ $103k – $198k per year (Estimated) • In office • Full-Time • 7+ years exp • Bachelor's Degree • Austin
Python
SQL
Databases
Snowflake
AI/ML
Claude Code
Model Context Protocol
Prompt Engineering
AI Agents
Gemini
LLM
Anomaly Detection
Time Series Forecasting
Agentforce
Agentic Workflows
DevOps
CI/CD
Git
Cybersecurity
GDPR
Analytics
Tableau
Management
Agile
Apply
In office • Cofounder • United States
Apply
≈ $39k – $68k per year (Estimated) • Equity • In office • Full-Time • 1+ year exp • Austin
Apply
See all jobs
This is one of many
1,795,710 more open roles from verified company boards, updated every day.