Why This Job is Featured on The SaaS Jobs
This AI Outcomes Manager position sits at a growing intersection in SaaS: turning generative AI capabilities into repeatable, measurable customer value. Rather than focusing on model building, the role is anchored in deployment and adoption, working across executive stakeholders and end users to translate platform potential into operational change. In the current SaaS landscape, where AI features are increasingly table stakes, outcome ownership is becoming a defining differentiator.
For a SaaS career, the role builds a durable toolkit around discovery, success metrics, rollout design, and roadmap influence. It offers exposure to how enterprise customers evaluate AI initiatives, how usage signals and feedback loops shape product priorities, and how cross functional collaboration works when solutions span product, R&D, and customer teams. These are transferable skills across modern SaaS roles in product, solutions, and customer success, especially as AI becomes embedded across workflows.
This role suits professionals who prefer consultative problem framing over pure delivery, and who are comfortable moving between strategic conversations and hands on experimentation with prompts and agents. It aligns with someone who enjoys stakeholder management, structured measurement, and iterative improvement, and who wants a SaaS path that blends customer impact with product sensibility in an in office London setting.
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.
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 hybrid (1 day a week from our London office)
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.
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