SailPoint is the leader in identity security and governance, driving innovation and shaping the future of the industry. As a rapidly growing company, we're committed to extending our market leadership by investing heavily in AI capabilities.
Since 2018, SailPoint has been delivering AI-driven solutions, and now, more than ever, Artificial Intelligence is a core pillar of our strategy. We are seeking a visionary product manager to both launch new initiatives as well as spearhead the deeper integration of AI into SailPoint’s core functionality.
This role needs a product leader with a keen understanding of market dynamics and strategic thinking, combined with strong communication, emotional intelligence, and organizational skills. You will collaborate with internal and external stakeholders, including peer product managers across different business lines, to help define the vision and deliver AI/ML-powered innovations across SailPoint's portfolio, delivering value for our customers.
We genuinely care about people and value kindness in our everyday interactions. You'll be able to be yourself, valued, supported, learn, and grow. If you want to learn more about what it's like to work here, check out sailpoint.com, and read what makes us different.
What will I be doing?
- Closely partner with the business stakeholders and data engineering teams across SailPoint orgs to deliver new functionality as well as to iterate on existing features in third party applications.
- Participate in all areas of the product lifecycle from ideation, user research, gathering requirements, to launch readiness
- Drive product innovation through feedback from our business stakeholders and IT partners, as well as product analytics and market research
- Engage with stakeholders to scope work, understand the impact, and gain consensus
- Translate business needs into clear product requirements and user stories
- Help define success metrics and measure the impact and results of new solutions
- Prioritize features and enhancements with our business stakeholders, focusing on impact, feasibility and compliance
- Partner with Salesforce and IT data engineering to develop, prioritize, and manage the product backlog in a lean/agile environment. Influence product direction across functional IT teams (security, ops, applications infrastructure, etc.)
- Maintain roadmap and coordinate adoption of deliverables with other product lines
- Ensure all AI products comply with internal data governance policies, risk management, and ethical AI guidelines.
- Collaborate with legal, compliance and data governance teams to manage risk and ensure transparency and accountability in AI usage
- Develop training materials and communication plans to support adoption of AI tools
- Act as a change agent to promote AI literacy and responsible AI practices across the organization
What will I need?
- 5 years of relevant experience with 3+ years successfully bringing AI-powered products to market in a product manager role working closely with both business stakeholders and technical reams
- Excellent communication skills with the ability, and confidence, to communicate and land messages across both technical, and non-technical, audiences
- Experience with Salesforce and CPQ, working with business stakeholders and technical teams to solve business problems
- Experience ideating, shipping and iterating products with an AI/ML component
- Experience managing enterprise SaaS products in a rapidly growing industry
- Demonstrable success working in a data-driven, outcome-oriented environment using frameworks like OKRs (objectives and key results)
- Demonstrated success in working with user experience and engineering teams to research, plan, develop, refine, and launch successful enterprise SaaS products
- Proven experience working with product marketing, marketing, and sales to successfully launch new products and enhancements to the market
- Excellent interpersonal, facilitation, and communication skills
Preferred but not required:
- BA/BS in computer science information systems or related field
- Completed additional training/courses related to building AI infused products
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