Okta is looking to solve the business problem of integrating and optimizing productivity applications like Google, Slack, and other collaboration tools for their enterprise, while ensuring foundational services are secure, scalable, and user-friendly, and streamlining complex engineering workflows.
Requirements
- 10+ years of progressive product management experience, with a significant focus on internal platforms, engineering tools, core infrastructure services, or enterprise productivity application integration within business technology.
- Strong understanding of and experience with major enterprise productivity applications (e.g., Google Workspace, Slack, Box) and their integration points.
- Strong understanding of the practical application of artificial intelligence and machine learning in areas such as service automation, anomaly detection, predictive maintenance, or operational intelligence, especially as applied to user workflows and application performance.
- A strong technical aptitude and comfort engaging in deep technical discussions with engineers.
Responsibilities
- Define and evangelize the long-term product vision and strategy for TDI Engineering Services, aligning with overall company objectives, with a specific focus on enhancing and integrating productivity applications.
- Act as a thought leader and subject matter expert in engineering services and enterprise productivity tools, guiding cross-functional teams and stakeholders.
- Conduct deep discovery into complex internal user needs and engineering challenges related to our services and integrated productivity suite, translating them into compelling product strategies and detailed requirements.
- Own and drive the end-to-end product lifecycle for key engineering services initiatives, from strategic planning and prioritization to execution, launch, and post-launch optimization.
- Champion initiatives to streamline the user experience for Okta and the consumption of productivity applications, focusing on large-scale simplification and efficiency gains.
- Proactively identify and lead opportunities to strategically apply artificial intelligence and machine learning to enhance service delivery, automate critical processes, and significantly improve system reliability and proactive issue resolution.
- Develop and present compelling business cases for new initiatives, securing buy-in from senior leadership and allocating resources effectively.
Other
- Proven experience leading and shipping complex products in a fast-paced, high-growth environment, ideally within a large-scale technical organization.
- Exceptional strategic thinking, problem-solving, and analytical skills, with the ability to break down complex problems into actionable plans.
- Superior communication, negotiation, and influencing skills, capable of effectively engaging and aligning diverse technical and business stakeholders at all levels, up to executive leadership.
- Demonstrated ability to lead without direct authority, driving consensus and motivating cross-functional teams toward a shared vision.
- Some roles may require travel to one of our office locations for in-person onboarding.
