Why This Job is Featured on The SaaS Jobs
AI Outcomes Manager roles are emerging as a distinct function in AI-first SaaS, sitting between Customer Success, Solutions, and Product. This listing stands out because it focuses on turning enterprise AI adoption into measurable outcomes rather than delivering one-off implementations. The remit spans executive alignment, end-user workflows, and practical agent design, reflecting how SaaS platforms are increasingly judged on realized value and repeatable impact.
For a SaaS career, the role builds durable skills in outcome definition, success metrics, and adoption strategy, all core to how modern subscription businesses retain and expand accounts. It also offers exposure to the feedback loop that shapes product direction in SaaS, where usage signals and customer learnings inform prioritization. The combination of business acumen, product sense, and hands-on work with LLM tools maps well to the growing need for operators who can bridge AI capabilities with reliable, cost-aware delivery.
This is best suited to professionals who enjoy consultative, customer-facing work and can move comfortably between strategic reviews and operational rollout details. It fits someone who prefers cross-functional collaboration and is motivated by translating ambiguous needs into clear problem statements and measurable outcomes in a hybrid, enterprise-oriented SaaS environment.
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 (3-4 days a week in our NYC office)
Compensation & Benefits:
The standard OTE range for this position is $150,000-$212,000 annually. 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 offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
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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