Role Description Campminder is building an AI layer beneath every product we make, grounded on 25 years of camp data across close to 1,700 camps and a RAG system that's live today. This role builds that shared foundation, the retrieval, evaluation, services, and patterns every product team builds on, and works across those teams to turn it into AI capabilities camp leaders actually use. The hard part isn't producing a demo. It's designing infrastructure many teams can build on, defining how its quality is measured, and getting it adopted in the wild. It's not a role for adding an AI feature so a product looks current. It's for someone who sees the whole system, finds the seam that matters, and makes the complexity smaller for everyone downstream. As a Senior Product Manager of AI Platform on our Product team, you will: - Build and own the shared AI infrastructure our products stand on: retrieval and grounding on camp data (the RAG system is live, extend it), evaluation and observability, and the services and patterns every team reuses instead of rebuilding. - Work across product teams to turn that foundation into capabilities in the wild. Shape how it lands in each product, keep teams unblocked, and drive real adoption. This cross-functional work is most of the job. - Own how quality and trust are measured across the platform, precisely enough to catch a regression before a customer does, with a person in the loop where the stakes are highest. - Lead the lifecycle of LLM and ML work streams with your AI and data engineering partners, and make deliberate build vs. buy and train vs. fine-tune vs. ground-with-RAG calls without chasing hype. - Prototype hands-on to explore and de-risk direction, and expect to throw a healthy share of it away. It's one tool for finding the right thing to build, not the whole job. - Grow the internal-automation side as the foundation matures, and write down what you and your partners learn so the next team starts ahead. Qualifications - Systems thinking, pattern recognition, and a bias to simplify. - AI product depth: you've productized AI before, not just added an AI feature. - A platform and infrastructure mindset: you've built foundations other teams build on. - Cross-functional influence: you get things adopted across teams you don't own. - A track record of shipping through the full loop, from idea to working build to production to iterated. - An eval instinct: you ask "how would we know this is good?" before "how do we build it?". - Coachability: you get sharper when someone pushes back, not defensive. Requirements Our Interview Process: - 45 min - interview with People & Culture - 60 min - interview with Hiring Manager - Take-home assignment on your own time: a real Campminder AI problem. - 60 min - present and defend your assignment to a technical and product panel. Benefits - Robust medical, dental, and vision coverage options with generous employer contributions, plus a $500 employer HSA contribution for HSA-compatible plans. - Ability to choose where you work - remotely, in the office, or a mix! - A variety of resources to support mental health and emotional well-being. - 12 weeks of 100% paid parental leave for all new parents, including via adoption, surrogacy, and foster care. - 401(k) with 4% company matching. - Trust-Based (flexible) PTO (and yes, we use it!). - $900/year wellness allowance. - Company-paid subscriptions, training, and support for using AI professionally and personally.

This is a remote role within the US and requires an onsite interview. Want to be on a team full of results-driven individuals who are constantly seeking to innovate? Want to make an impact? At SailPoint, our Engineering team does just that. Our engineering is where high-quality professional engineering meets individual impact. Our products are built on a mature, cloud-native event-driven microservices architecture hosted in AWS. Job Description: SailPoint is seeking a Senior Technical Program Manager to drive some of our most complex, business-critical initiatives for our Product organization. We are looking for someone 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 amazing results. 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 - 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: - 6+ years of experience driving large programs and delivering excellent results - 4 of which must be in software product development (SaaS, Web App, etc.) - 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 - Hands-on experience using AI-assisted and agent-orchestrated workflows to accelerate planning, tracking, and communication across complex, multi-team programs with sound judgment about when automation helps vs. when human oversight is required - Technical experience and knowledge of developing SaaS products - grounded in modern web technologies and agile processes - 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 - Able to design and maintain program tracking in Jira & confluence that drive accountability and executive-ready visibility Preferred: - Bachelor’s Degree in Computer Science or related field - Exposure to product development in both large and small companies - (Bonus points!) Experience with Identity Management, Security or Governance - (Extra bonus) Experience operating within an Agentic SDLC — integrating AI agents into planning, delivery, and retrospectives at team or program scale This roadmap outlines what success looks like in your first 6 months as Senior Technical Program Manager. It is a guide, not a checklist — priorities will shift as you learn the landscape. The goal is to build trust quickly, establish reliable program execution, and become a force multiplier for Engineering and Product leadership. By 30 days — Introduction & DiscoveryObjective: Understand the people, programs, and systems; identify where you can add immediate value. - Conduct 1:1s with key stakeholders across Engineering, Product, and Operations to map relationships, decision-makers, and current pain points. - Audit current Jira boards, filters, and dashboards (and Productboard where applicable) to understand in-flight initiatives, dependencies, and areas needing immediate program support. - Partner with Product leadership to inventory upcoming key initiatives and confirm launch readiness criteria (scope, owners, dependencies, and open risks). - Understand your program landscape: active initiatives, owning teams, current status, and known bottlenecks. - Identify 1–2 quick wins (examples: clearer status reporting, a missing cross-team cadence, or a Jira view that improves visibility) and deliver them. - Begin building your stakeholder communication rhythm (who needs what, how often, and in what format). Success signals: - Stakeholders know who you are and what programs you own. - You can articulate the top 3–5 in-flight initiatives and their biggest risks. - Leadership has increased confidence in program visibility. By 90 days — Planning & Early ExecutionObjective: Own program direction for your highest-impact initiatives and establish the operating model to drive them. - Ensure there is clear ownership, priortization, and sequencing for the highest-impact initiatives with Engineering and Product leads. - Implement a solid operating model for portfolio governance cadences (program reviews, dependency syncs) for the area(s) you support. - Serve as the primary escalation point for cross-team blockers (surface issues early, drive resolution, and communicate trade-offs clearly) - Build or refine Jira-based execution frameworks (JQL filters, dashboards, cross-team views) that teams actually use for accountability. - Introduce lightweight AI-assisted workflows where they add value (status synthesis, risk surfacing, or dependency summaries) with clear human oversight. Success signals: - Programs have named owners, defined milestones, and a shared view of dependencies. - Blockers are identified and resolved faster than before you joined. - Leadership trusts your timelines and trade-off recommendations. By 6 months — Portfolio Ownership & Continuous PlanningObjective: Operate as a trusted program owner driving predictable delivery across a portfolio of initiatives. - Own continuous planning for your program area(s) — not just point-in-time project plans. - Partner with your Product & Engineering counterparts to maintaine 3–6 month release plans and a 12-month high-level roadmap. - Drive cross-organizational alignment so Engineering and Product stay focused on what matters most for the business. - Proactively identify systemic bottlenecks (capacity, dependencies, process gaps) and work with leaders to open them — including making and communicating hard trade-offs. - Evolve tooling and practices toward a more agentic SDLC where appropriate – integrating AI-assisted planning, tracking, or retrospectives without sacrificing quality or accountability. Success signals: - Initiatives in your portfolio deliver on commitments at a high rate, with surprises surfaced early. - Engineering and Product leaders proactively involve you in planning and trade-off discussions. - Roadmap and release plans are trusted, current, and used for decision-making. - You are seen as a thought partner, not just a status tracker. 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): $97,900 - $165,082.00Base 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.

• Own the product roadmap for systems built on streaming and event-driven architecture • Translate technical capabilities like Kafka, microservices, and cloud infrastructure into clear product requirements • Partner with engineering to prioritize backlog items based on technical complexity and business value • Define success metrics for high throughput data products and track them post launch • Run discovery with technical and business stakeholders to identify the highest impact work • Write clear specs and acceptance criteria that engineers can build against without back and forth • Align cross-functional teams (engineering, design, data, business) around a shared roadmap • Make data-informed tradeoffs when scope, timeline, or technical constraints collide • Communicate technical concepts to non-technical stakeholders and business context to engineers

• Own the Agentic SDLC framework roadmap • Extend the Agentic SDLC framework into PS delivery • Productize the Clariti AI harness for non-technical teams • Run the enablement flywheel • Own AI vendor and model strategy for internal use • Own governance for agent output