Lead Data Scientist, AppOmni
Risk Intelligence & Artificial Intelligence
$215-265k
+ Stock options
SaaS security management software
Be an early applicant
SaaS security management software
201-500 employees
Be an early applicant
$215-265k
+ Stock options
201-500 employees
Company mission
To prevent SaaS data breaches by securing the applications that power the enterprise.
Role
Who you are
- 7–10+ years of experience as a Data Scientist, Applied Scientist, or Machine Learning Engineer, with ownership of production systems
- Experience in security, identity, fraud, or risk modeling domains
- Strong background in statistical modeling, machine learning, and applied decision systems
- Experience designing and shipping ML- or AI-driven product features used by customers
- Experience applying ML or AI to decision-making systems that influence user workflows or automated outcomes
- Comfortability working within the GCP stack, particularly big data services, such as Dataproc (pyspark), Dataflow (Apache Beam), PubSub (Apache Kafka), data lakes (storage, partitioning, searching). Also, experience with SQL, Python, and related Data Science libs (such as scikit-learn, pytorch, GCP integrations, etc)
- Experience designing or contributing to agent-like or automated workflows, including reasoning about task decomposition, tool usage, or control flow
- Demonstrated ability to design guardrails and human-in-the-loop mechanisms for automated or AI-assisted actions
- Experience operating ML or AI systems post-launch, including monitoring behavior, iterating based on feedback, and addressing reliability or trust issues
- Familiarity with LLMs and agent-based approaches, with practical awareness of reliability, safety, and evaluation considerations
- Ability to balance automation, explainability, and user trust in customer-facing systems
- Experience partnering closely with Product and Engineering to deliver customer-facing capabilities
- Strong written and verbal communication skills
What the job involves
- AppOmni is looking for a Lead Data Scientist, Risk Intelligence & AI to define and build machine-learning–driven risk scoring, prioritization, and AI-powered security workflows within our SaaS security platform
- In this role, you will apply statistical modeling, machine learning, and modern AI techniques to help transform security signals into actionable prioritization, and to develop intelligent, agent-driven product capabilities that assist customers with investigation, triage, and response
- You will play a key role in shaping how AI is applied responsibly and effectively in customer-facing security workflows
- This is a hands-on individual contributor role with technical leadership responsibilities
- You will work closely with Product and Engineering to design, build, and operationalize ML and AI systems that are explainable, reliable, and safe to deploy in production
- Design and implement data-driven risk scoring and prioritization approaches across SaaS security signals
- Lead the development of AI-powered product capabilities, including agentic and LLM-based features that support investigation, triage, and security operations workflows
- Define and evolve explainable decision logic so customers understand why issues are prioritized or actions are recommended
- Contribute to approaches that assess the potential scope and impact of security issues
- Establish evaluation methods to measure model quality, effectiveness, and reliability over time
- Incorporate product usage signals and feedback to guide continuous improvement of ML and AI systems
- Monitor ML and AI systems in production to ensure stability, safety, and consistent behavior
- Partner with Engineering to operationalize models and AI workflows, supporting safe deployment and iteration
- Collaborate with Product to shape AI-driven user experiences, ensuring alignment with customer needs and trust expectations
- Act as a technical leader and thought partner on applied ML and AI across the product area
Our take
Security is key in the online world, especially for companies that sell software as a service (SaaS). AppOmni's security management platform is designed to help SaaS companies protect their software from phishing attacks, malware, and other malicious threats. It can discover risks that may potentially harm businesses’ services, protect sensitive data from malicious hands, and even monitor and fix any issues that are found.
AppOmni’s customers include large enterprises and tech names such as Dropbox, Ping and Accenture, as well as large Fortune 100 financial and healthcare companies. Collectively, it now secures apps covering 78 million users and 230 million exposed data records, and more than 9 billion monthly events.
Although AppOmni has made a name for itself, it has some notable competitors, such as Insight VM and Amazon Guard Duty. The company is continuing both its international growth and building out the platform to remain on top of the competition.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2022
$70m
SERIES C
Apr 2021
$40m
SERIES B
Total funding: $123m
Company benefits
- Autonomous Schedules: You know best how to get your work done, and sometimes that means starting the morning with a ski run before showing up to your home office or co-working space
- Home Office: As a new hire benefit, we provide a generous stipend for eligible expenses reimbursement for your home office / computer equipment set up in addition to a company-provided laptop
- Flexibility and Time Off: Have the freedom to take the time off you need with no required accruals and no set limits — just get your manager’s approval and go. We support our team in relaxing, recharging, and reconnecting
- Healthcare: AppOmni provides comprehensive insurance options for eligible employees – including medical, dental and vision, with substantial portions of the premiums covered by AppOmni
- Life Insurance & Disability Benefits: AppOmni provides group life, AD&D, STD and LTD benefits at no cost to our employees, as well as additional supplemental life insurance options
- Employee Assistance program: Our employees have access to LifeWorks Employee Assistance Program including in-person, phone, or video consultations with licensed counselors and online educational tools and resources
- Retirement Savings: We offer a 401(k) tax-advantaged retirement savings account as of the employee’s first paycheck with AppOmni covering all fees for the account
- Wellness and Connections: We value the mental health and overall wellness of our team and offer a monthly reimbursement for related wellness expenses. Participate in groups or be a champion for a cause that you’re passionate about
- Career Development: The best employees need room to grow professionally, and look for opportunities to hone their skills. We provide professional enablement programs and performance management reviews
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Brendan O'Connor
(Co-Founder & CEO)Started out working in Information Security at Tech Electronics and First Bank. Previous CSO of Salesforce and Security CTO of ServiceNow.
Brian Soby
(Co-Founder & CTO)Received an MBA from Berkeley, and then joined Raytheon as a Network Security Engineer. Previous Director of Product Security at Salesforce, and Director of Security at Taulia Inc. Current Partner at Freefly Security.
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