Staff Technical Program Manager

13 Hours ago • 8 Years + • $118,300 PA - $219,700 PA

Job Summary

Job Description

The Staff Technical Program Manager will drive complex, business-critical initiatives for the AI team within the Product organization. This role involves cross-functional planning, stakeholder alignment, and scaling AI capabilities. Responsibilities include building relationships, managing program execution, identifying bottlenecks, proactively addressing risks, and communicating with stakeholders. The ideal candidate has technical depth in AI/ML, exceptional program management skills, and strong communication abilities. This role requires leading programs from conception to production and working closely with engineering, product, and research teams to deliver exceptional results. The candidate will also be responsible for providing thought leadership and working through problems/challenges.
Must have:
  • 8+ years of program management experience
  • 5+ years of experience in software product development (SaaS, Web App, etc.)
  • 2+ years of experience in ML/AI domains
  • Technical knowledge of developing SaaS products
  • Strong technical acumen in ML pipelines, data infrastructure, etc.
  • Understanding of machine learning lifecycle
  • Ability to build frameworks to track and execute program direction
  • Highly evolved EQ and ability to adapt
  • Passion for building partnerships
  • Relentless passion and persistence
Good to have:
  • Background in computer science, engineering, data science, or related field preferred
  • Possess a strong understanding of AI/ML concepts
  • Familiarity with modern AI infrastructure (e.g., Airflow, Docker, SageMaker, etc.)
  • Familiarity with big data technologies (e.g., Spark, Hadoop)
  • Experience in R&D environment, especially with 0→1 product development
  • Hands-on experience in AI/ML engineering, data science, or MLOps
  • Experience with Identity Management, Security or Governance
Perks:
  • Health and wellness coverage: Medical, dental, and vision insurance
  • Disability coverage: Short-term and long-term disability
  • Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
  • Additional life coverage options: Supplemental life insurance for employees, spouses, and children
  • Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
  • Financial security: 401(k) Savings and Investment Plan with company matching
  • Flexible vacation policy
  • 8 paid holidays annually
  • Sick leave
  • Paid parental leave
  • Employee Assistance Program (EAP) and Care Counselors
  • Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
  • Health Savings Account (HSA) with employer contribution

Job Details

SailPoint is seeking a Staff Technical Program Manager to drive some of our most complex, business-critical initiatives for our AI team within the Product organization. We are looking for a technical, program manager who has experience driving large organization wide initiatives. This individual is passionate about cultivating relationships and has experience influencing across organizational boundaries. You will manage a program from beginning to end to ensure we’re executing successfully and delivering exceptional results.

In this role, you will work at the intersection of engineering, product, and research, owning cross-functional planning, aligning stakeholders, and helping scale AI capabilities that power real customer value. You’ll partner closely with AI/ML engineers, data scientists, data engineers, product managers, and other cross-functional teams to guide programs from concept through production. . This role requires a unique blend of technical depth in AI/ML, exceptional program management skills, and a strong ability to communicate effectively with both technical and non-technical stakeholders. The ideal candidate is comfortable navigating ambiguity, thrives in complex technical domains, and brings clarity and momentum to multi-team efforts

About AI team:

The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity governance. We believe the path to success is through meaningful customer outcomes, and we leverage traditional AI/ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines.

Responsibilities:

  • Build strong trusting relationships with leaders across Engineering and Product Management

  • Keep cross-organizational/cross-functional teams focused on what is most important for the business & your program’s success

  • Manage and track program execution across multiple development teams to ensure successful, high-quality, on-time delivery

  • Identify and understand bottlenecks in the system and ruthlessly open them up including making and communicating tradeoffs

  • Proactively identify risks and bottlenecks, surface tradeoffs, and drive timely resolution to keep projects on track.

  • Anticipate, recognize, and work through risks, resistance or setbacks which impact program execution

  • Use technical judgement to drive strategic alignment & product delivery

  • Develop program plans & schedules covering all phases of the program lifecycle

  • Communicate clearly and regularly to executive stakeholders and audiences in a variety of ways (visually and verbally)

  • Provide thought leadership and a continuous improvement mindset to methodically work through problems/challenges

Requirements:

  • 8+ years of experience driving large programs and delivering excellent results - 5 of which must be in software product development (SaaS, Web App, etc.) and at least 2 years in ML/AI domains

  • Proven track record delivering complex, cross-functional technical programs in a fast-paced environment

  • Technical experience and knowledge of developing SaaS products - grounded in modern web technologies and agile processes

  • Strong technical acumen, able to engage in discussions about ML pipelines, data infrastructure, model deployment, or MLOps

  • Solid understanding of the end-to-end machine learning lifecycle (data ingestion, feature engineering, model training, evaluation, deployment, monitoring)

  • Ability to build frameworks to track and execute program direction

  • Highly evolved EQ and ability to adapt to the needs of the program and current maturity of the teams

  • Passion for building partnerships and experience leveraging those to achieve success

  • Relentless passion and persistence and a focus on meeting commitments

  • Self-driven and highly motivated work ethic

Preferred:

  • Background in computer science, engineering, data science, or related field preferred

  • Possess a strong understanding of AI/ML concepts, methodologies, and best practices

  • Familiarity with modern AI infrastructure (e.g., Airflow, Docker, SageMaker, etc.)

  • Familiarity with big data technologies (e.g., Spark, Hadoop)

  • Experience in R&D environment, especially with 0→1 product development

  • (bonus points!) Hands-on experience in AI/ML engineering, data science, or MLOps

  • (bonus points!) Experience with Identity Management, Security or Governance

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):

$118,300 - $169,000 - $219,700

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 hr@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.

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About The Company

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 well 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.

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