Lead Technical Program Manager (TPM)

SailPoint is seeking a Lead Technical Program Manager (TPM) to oversee strategic programs and lead a team of Technical Program Managers within the Product organization. This role will drive SailPoint's most complex, cross-functional programs at the intersection of AI/ML, engineering, product, and research—while also managing a high-performing TPM team.

We are looking for an experienced people leader who is deeply technical, thrives in ambiguity, and can influence across organizational boundaries. The ideal candidate has experience delivering at scale in AI/ML-driven environments, coaching TPMs, and bringing clarity and momentum to fast-paced, high-impact initiatives.

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 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. 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.

Key Responsibilities

Team Leadership & Management

• Lead and mentor a team of Technical Program Managers supporting teams across the Product organization.
• Drive performance management, career development, and operational excellence for the TPM team.
• Establish and evolve best practices, frameworks, and standards across the TPM discipline at SailPoint.

Program Strategy & Execution

• Own and drive critical AI/ML program portfolios from ideation through execution and delivery.
• Partner closely with AI/ML engineers, product managers, data scientists, and cross-functional stakeholders to deliver complex, multi-team initiatives.
• Align teams to shared goals, define success metrics, and foster a culture of accountability and continuous improvement.

Stakeholder Alignment & Communication

• Build strong, trusted relationships across Product, Engineering, Research, and Executive Leadership.
• Proactively communicate program status, risks, dependencies, and opportunities to senior leadership and cross-functional teams.
• Translate technical detail into clear and concise messaging for varied audiences.

Technical Leadership & Domain Expertise

• Use sound technical judgment and AI/ML domain knowledge to assess risks, unblock teams, and guide program direction.
• Navigate the end-to-end machine learning lifecycle (data collection, modeling, evaluation, deployment, monitoring).
• Foster cross-team collaboration and ensure scalable, high-quality solutions.

Requirements:

• 10+ years of program management experience, with at least 5 years in SaaS software and at least 2 years in ML/AI domains.
• 3+ years managing or mentoring TPMs or similar roles.
• 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.
• Passion for driving impact and delivering customer value through AI.

Preferred Qualifications:

• Background in computer science, engineering, AI/ML, or a related technical field.
• Familiarity with AI/ML tooling (e.g., SageMaker, Docker, Airflow) and big data technologies (e.g., Spark, Hadoop).
• Experience in identity governance, security, or enterprise software a plus.
• (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):

$125,200 - $178,900 - $232,600

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