
Solutions Engineer
About Glean:
Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.
Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.
About the Role:
The Solution Engineer role sits within the GTM organisation within the Japan; making you a trusted technical advisor of the local sales team, our partners, and our customers. You will work on many exciting projects with some of the most future-forward organisations; helping to guide the beginning of their Generative AI journeys.
At Glean, our Solution Engineers work with our customers to help them connect Glean to their most important decision-making platforms. These platforms include Microsoft 365, Google Workspace, Jira, Confluence, Slack, GitHub, Zendesk, and everything in between! As an SE, you will work closely with our local Account Executives (AEs) and will be responsible for the technical success and delivery of our sales opportunities. Your role will include:
- Performing interactive demonstrations of the Glean platform to prospective customers.
- Educating the technical teams of our prospective customers on the architecture of the Glean platform. Specifically, articulating the “how” of how our solution works in the context of the customer landscape.
- Scoping and executing sponsored pilot and Proof of Value (PoV) exercises to ensure the technical requirements and business objectives that the Glean solution provides are validated.
- Educating and training our customers and partners on our product to ensure that they are set up for success.
- Presenting at company sponsored events such as Google Cloud Next and AWS re:invent.
- Liaising with Glean product managers and engineers to investigate issues, raise feature requests, and understand our future roadmap.
What we’re looking for
At Glean, we consider 3 critical dimensions for being a successful SE: (aha * wow) / t:
- “aha” = Do you have a curious mind and are constantly trying to learn? Do you bring use cases/capabilities/ideas to light that either weren’t in play previously or undiscovered before your involvement? Do you inspire others with your passion for new ideas? Do you listen actively to the real problem during customer meetings?
- “wow” = Do you bring the magic to your demos and presentations? Do you leave the audience wanting more whether than be online, in-person or at events? Are your demo’s on point, your meetings targeted and assets of the highest quality? Is your word your bond and you are trusted by others to deliver on time and within expectations?
- “t” = The most precious commodity of all, time. Do you maximize your aha and wow by scaling yourself and others? Are you a multiplier and an amplifier of teammates and customers? Does your involvement in a deal or opportunity drive success for you and for others?
Glean expects you to be an innovative thinker who doesn’t settle for mediocrity or the status quo. Challenge yourself, us and customers to ensure we can all succeed in this new era of Gen AI-derived productivity.
What you will need
- You will have a bachelor's degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience).
- At least 4+ years experience in enterprise software pre-sales and have used value-based discovery frameworks.
- You possess excellent analytical and problem-solving skills with the ability to handle complex technical challenges.
- You are able to explain complex technical concepts in layman’s terms to help educate and train our customers, prospects, and partners.
- You are comfortable presenting, both virtually and in-person,
Key knowledge and skills
- Thrive in a customer-focused, tight-nit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must.
- A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features. We’re looking for SEs that take initiative, not ones that wait around to be assigned work.
- Strong understanding and experience administering (or integrating with) popular SaaS tools such as Microsoft 365, Google Workspace, Slack, Asana (and more!)
- Familiarity with cloud infrastructure (IaaS) platforms such as GCP, AWS, and Azure.
- Familiarity with identity services and Single Sign-On (SSO) providers such as Azure/Entra ID, Okta, and protocols such as SAML, SCIM, and OIDC.
- Familiarity with APIs including sending and receiving data from API endpoints, and how to troubleshoot issues.
- Familiarity with security concepts and tools, e.g. Firewalls, VPNs, SSL/TLS, DLP, WAFs, and proxies.
Bonus points
- Knowledge of one or more programming languages (e.g. Python, Java, Go)
- Examples of something you have developed, created, or written about.
- Do you have a profile on GitHub or a blog where you occasionally write? Show us!
- Do you have a project that you have worked on at another company (that you can talk about) that you’re proud of? Tell us about it!
- Knowledge of how a search engine like Google works (the core concepts of crawling, indexing, etc)
- Knowledge of Retrieval Augmented Generation (RAG) as it pertains to LLMs and Generative AI.
The most important tool in your technical toolbox will be the ability to explain the “how” at a conceptual level. You are not alone and will be supported by a more technical solutions architecture team for the truly deep conversations.
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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