SailPoint is the leader in identity security for the modern enterprise.

Engineering Manager, Data Science

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SailPoint is a leading provider of identity security for the modern enterprise. Enterprise security starts and ends with identities and their access, yet the ability to manage and secure identities today has moved beyond human capacity. Using a foundation of artificial intelligence and machine learning, the SailPoint Identity Security Platform delivers the right level of access to the right identities and resources at the right time-matching the scale, velocity, and environmental needs of today's cloud-oriented enterprise. Our solutions put identity security at the core of digital business operations, enabling even the most complex organizations across the globe to build a security foundation capable of defending against today's most pressing threats.
The Data Science Team at SailPoint builds that AI and ML foundation for our products. Our models power some of the most compelling and innovative features in our product suite, and the work spans many AI domains, including Generative AI and LLMs, Recommender Systems, Graph ML, and more traditional forms of supervised and unsupervised learning.
If you have proven experience developing and deploying machine learning models and a passion for leading teams to build high-quality and intuitive AI products, we'd love to talk. This is a high impact role. The team, the scale of our ML model deployments, and the scope of our mandate are increasing quickly, and we're looking for someone eager to be a core part in growing our team and building the ML culture at SailPoint.

  • Manage a team of data scientists tasked with building our AI models.
  • Collaborate closely with stakeholders to identify and clarify business questions to answer.
  • Translate business questions into tractable analysis and evaluation metrics.
  • Provide technical mentorship to data scientists on the team and help decompose complex and ambiguous data science projects into incremental milestones.
  • Prioritize the team's work to align with our broader AI roadmap to maximize impact.
  • Establish processes to improve the efficiency of R&D and promotion of prototypes from R&D to product, with emphasis on testability, scalability, and cost efficiency.
  • Coach and develop direct reports to scale our ML organization.


  • M.S. or PhD in Computer Science, Data Science, Statistics, or related field, preferred not required
  • 1-3 years of people management experience with data scientists.
  • 5+ years of industry experience with data science and machine learning.
  • Proven experience building and deploying ML models in a production setting.
  • Excellent communication skills and comfort communicating with diverse technical stakeholders, including Product Manager, Data Science, Engineering, and DevOps.
  • Strong analytical and problem-solving skills. Ability to execute on ambiguous research tasks, distilling the essence of complex problems and translating to incremental goals.
  • (Bonus): Experience publishing at academic conferences, especially in the AI/ML space.
  • (Bonus): Experience with LLMs and associated open source and cloud technologies.

SailPoint is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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What are SailPoint Perks + Benefits

SailPoint Benefits Overview

Experience a Small-company Atmosphere with Big-company Benefits

Volunteer in local community
Our crew members value working for an organization that prioritizes giving back to the community, and we have engaged in many community initiatives over the past year.
Partners with nonprofits
In the past year alone we have supported many notable organizations, including Code2College, nonPareil, Black Girls Code, Foundation Communities, and HealthCode.
Open door policy
OKR operational model
Team based strategic planning
Open office floor plan
Flexible work schedule
SailPoint's hybrid work environment reinforces the flexibility that has existed within our culture for many years.
Remote work program
As an organization that values impact over activity, we encourage crew members to manage their work schedules so they can be at their most effective within parameters established by their teams.
Documented equal pay policy
Mean gender pay gap below 10%
Diversity employee resource groups
Slack is how we come together as a global team, and we have offer several Employee Resource Group channels where we celebrate our differences and encourage sharing and connection.
Hiring practices that promote diversity
We prioritize hiring practices that promote diversity. This year, for example, we launched SAIL-U to help grow our team in partnership with HBCUs and historically LatinX colleges and universities.
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Financial & Retirement
401(K) matching
Employee stock purchase plan
Performance bonus
Child Care & Parental Leave Benefits
Generous parental leave
SailPoint offers generous parental leave with the primary caregiver being able to take 80 fully-paid business days. Secondary caregivers can take 20 fully-paid business days.
Family medical leave
Company sponsored family events
SailPoint's crew love to celebrate together, whether at a family-friendly summer BBQ or Halloween party, or while volunteering and giving back to our local communities.
Vacation & Time Off Benefits
Unlimited vacation policy
Paid holidays
Office Perks
Company-sponsored outings
When possible, SailPoint brings crew together for summer camps, quarterly meetings and other team-based events.
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Onsite office parking
Recreational clubs
Home-office stipend for remote employees
Onsite gym
Professional Development Benefits
Job training & conferences
Lunch and learns
Promote from within
Mentorship program
Online course subscriptions available

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