*THIS IS A REMOTE ROLE BUT DOES REQUIRE AN IN PERSON INTERVIEW
About SailPoint:
SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less.
Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today's cloud-oriented, modern enterprise.
About the Role:
As a Principal Machine Learning Engineer on the Core AI / ML team, you will be a senior technical leader responsible for shaping, scaling, and operationalizing ML capabilities that power SailPoint’s product offerings.
This is a hands‑on, end‑to‑end technical leadership role. You will design and build foundational ML systems and models, influence cross‑team architecture, and set engineering standards that are adopted across multiple product lines. You will work at the intersection of modeling, ML infrastructure, and production systems, partnering closely with product, platform, and engineering leaders.
You are expected to operate at organization scale: leading the most complex ML initiatives, mentoring engineers, and driving long‑term technical strategy while still contributing directly to critical designs and implementations.
About the team:
The AI team at SailPoint applies AI and domain expertise to create solutions that solve real problems in identity security. We believe the path to success is through meaningful customer outcomes, and we leverage classical ML, Graph ML, and recent innovations in Generative AI to bring our solutions to SailPoint’s core product lines.
Responsibilities:
Design, develop, and deploy production‑grade ML models including behavioral and anomaly detection, semantic search and embeddings, similarity‑based systems, graph‑based models, and LLM‑based or hybrid solutions where appropriate.
Translate research, experimentation, and prototypes into scalable, maintainable, and reusable production systems.
Own end‑to‑end technical design and delivery for complex ML initiatives, from data pipelines and feature engineering through deployment, monitoring, and lifecycle management.
Drive continuous improvements in model quality, robustness, generalization, and performance across diverse enterprise datasets.
Set and evolve ML engineering standards spanning experimentation rigor, evaluation, deployment, observability, and governance.
Partner with platform, data, and DevOps teams to ensure reliable data access, cost‑efficient compute usage, and high system availability.
Requirements:
Extensive experience with MLOps practices, including monitoring, CI/CD, experiment tracking, and model lifecycle management.
Preferred:
Roadmap for success
30 days:
90 days:
6 months:
Deliver significant, measurable impact on the performance, scalability, or capabilities of a core identity product through the integration of AI/ML.
1 year:
Solidify the technical foundation for Core AI/ML at SailPoint, ensuring it is robust, scalable, and a key driver of innovation.
The Tech Stack (if applicable):
Data: Snowflake, DBT, Kafka, Airflow, Feast
Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.
As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD):
$184,200 - $310,458.00
Base salaries for employees based in other locations are competitive for the employee’s home location.
Benefits Overview
1. Health and wellness coverage: Medical, dental, and vision insurance
2. Disability coverage: Short-term and long-term disability
3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children
5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
6. Financial security: 401(k) Savings and Investment Plan with company matching
7. Time off benefits: Flexible vacation policy
8. Holidays: 8 paid holidays annually
9. Sick leave
10. Parental support: Paid parental leave
11. Employee Assistance Program (EAP) and Care Counselors
12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
13. Health Savings Account (HSA) with employer contribution
SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.
Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.
