Why This Job is Featured on The SaaS Jobs
This AI Outcomes Manager role sits at the intersection of enterprise SaaS adoption and applied generative AI, where value is proven through measurable workflow change rather than prototypes. In the current SaaS landscape, vendors are being judged on whether AI features translate into real productivity gains across departments, and this position is explicitly oriented around identifying use cases, shaping rollouts, and tying platform usage to outcomes with executive stakeholders.
For a SaaS career, the role builds durable experience in post-sales value delivery: discovery, success metrics, adoption strategy, and cross-functional feedback loops into Product and R&D. It also develops practical judgment around what LLMs can reliably do in production contexts, including quality, latency, and cost tradeoffs, which is increasingly relevant across modern SaaS teams beyond specialist AI roles. The combination of prompting skills and business acumen reflects how SaaS customer-facing work is evolving toward solution design.
This position fits professionals who enjoy consultative work with senior sponsors and end users, and who prefer translating ambiguous business needs into clear problem statements and measurable success criteria. It will suit someone comfortable facilitating workshops, steering pilots, and iterating with technical partners without needing to be the primary production engineer, especially in a remote, multi-stakeholder 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 remote (must be located in US West Coast)
Compensation & Benefits:
The standard OTE range for this position is $130,000-$210,000 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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