Why This Job is Featured on The SaaS Jobs
AI Outcomes Manager roles are emerging as a distinct function in SaaS as enterprises move from experimenting with generative AI to operationalizing it across workflows. This listing stands out because it centers on converting an AI product into department-level impact, bridging executive priorities and day-to-day user adoption. In the SaaS ecosystem, that combination of platform fluency and outcome ownership is increasingly critical as AI features become a core part of product value, not an add-on.
For a SaaS career, the work builds durable skills in value realization: framing problems, defining success metrics, running pilots, and iterating based on real usage signals. It also offers exposure to the feedback loop that shapes modern SaaS products, where customer discovery and rollout learnings inform product and R&D priorities. Experience guiding AI agents with practical constraints such as reliability, cost, and latency translates well across AI-enabled SaaS categories.
This role tends to fit professionals who enjoy consultative, cross-functional work and can switch between strategic stakeholder conversations and hands-on solution design. It suits someone comfortable being measured on outcomes rather than deliverables, and who prefers roles that sit at the intersection of product thinking, customer engagement, and applied AI craft.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Role:
Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise.
You will:
- Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean.
- Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform.
- Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities.
- Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform.
- Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability.
- Proactively identify expansion opportunities and drive engagement across teams and functions.
About you:
- 5+ years of professional experience in roles that blend business and technology (e.g., product, analytics, data, engineering, solutions), with a consultative, customer‑facing approach.
- Strong problem‑solving and communication skills; comfortable working with stakeholders from ICs to executives and tailoring messages to different audiences.
- Demonstrated ability to craft effective prompts and guide AI agents for real customer or business workflows; you’ve shipped outcomes, not just demos.
- Understanding of what current LLMs can and cannot do; able to set expectations and steer towards reliable, safe, cost‑effective solutions.
- Product sense and user empathy—you can spot high‑value applications of AI across diverse job functions and design clear, guided experiences.
- Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar), with enough technical depth to work with engineers without needing to be on the critical path for writing production code.
- Fluent in English and Portugese.
- Good to have:
- Prior experience in customer‑facing, consultative roles (solutions, support, product management) and comfort presenting to senior leaders.
- Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost.
- Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption.
Location:
- This role is remote (must be based in Brazil)
Compensation & Benefits:
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
