openleverjobgether
Staff Product Manager, SaaS Manager
Jobgether
LocationUS
EmploymentFull-time
Posted2026-08-25T09:31:11.661000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:c193e026-952b-46be-b465-cd4d785ec2f2
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Product Manager, SaaS Manager based in United States. This is a senior product leadership opportunity focused on modernizing an enterprise SaaS management platform. You will own product strategy and a multi-quarter roadmap spanning integrations, data, reliability, administration, and responsible AI capabilities. The role combines customer discovery, technical product management, and cross-functional leadership in a fast-paced environment. You’ll translate complex platform and architectural challenges into clear priorities and measurable customer outcomes. Working closely with Product, Engineering, Design, Security, Privacy, and Data teams, you’ll guide initiatives from discovery through launch and iteration. The position offers significant autonomy and the opportunity to influence how organizations securely manage their growing SaaS ecosystems. This is a remote role for candidates based in the United States or Canada, with travel for selected in-person team and customer engagements. Own the product strategy, roadmap, prioritization, and execution for platform modernization and enterprise-readiness initiatives. Lead customer and stakeholder discovery to identify high-impact enterprise problems, workflows, and opportunities. Translate customer needs, business priorities, and technical constraints into clear product requirements and shippable milestones. Determine how data ingestion, integrations, near-real-time processing, observability, reliability, and administrative experiences should be sequenced to maximize customer value. Partner closely with Engineering and Design to evaluate architectural approaches, resolve trade-offs, and guide complex technical initiatives. Lead multi-quarter initiatives across Product, Engineering, Design, Security, Privacy, Data, and other cross-functional teams. Establish clear product success metrics and collaborate with analytics and data teams to measure reliability, adoption, customer impact, and business outcomes. Align multiple teams around priorities, dependencies, decisions, delivery risks, and expected outcomes. Coordinate product launches, go-to-market readiness, customer feedback, and continuous product iteration. Champion thoughtful and responsible use of AI throughout product discovery, development, and delivery. Contribute to a culture of experimentation, transparency, continuous improvement, and high-quality execution. Requirements: 8+ years of product management experience, including ownership of end-to-end strategy and roadmaps for B2B SaaS products. Strong technical fluency in integrations, APIs, data pipelines, platform architecture, and the trade-offs required to build reliable products at enterprise scale. Demonstrated experience leading complex, multi-quarter initiatives involving Product, Engineering, Design, Security, Privacy, and other cross-functional stakeholders. Strong capabilities in product discovery, problem framing, iterative validation, prioritization, and defining measurable outcomes. Excellent written and verbal communication skills, with the ability to clearly explain recommendations, technical trade-offs, risks, and product decisions to both technical and non-technical audiences. Experience with SaaS management, license management, IT asset management, identity and access management, cybersecurity, or other technically complex enterprise products is highly desirable. Familiarity with third-party SaaS ecosystems and integration patterns such as SSO, SCIM, OAuth, audit logs, and related enterprise technologies is preferred. Experience incorporating responsible AI capabilities into product development or product strategy is an advantage. Bachelor’s or Master’s degree in a technical discipline such as Computer Science, Engineering, or Mathematics, or equivalent practical experience. Comfortable working autonomously in a fast-moving
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