Solutions Engineer (EMEA Shift)
Glean Work is hiring a Solutions Engineer (EMEA Shift) in Bengaluru, India. Level rates it ; you can apply on Glean Work.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include APIs, LLMs and Saas Connectors.
- Level lists 126 other open roles at Glean Work.
- The role was posted in the last few days.
AI in this role
Solutions Engineer supporting EMEA clients with implementation and technical advisory for an enterprise Work AI platform.
The Solution Engineer role sits within the GTM organisation in India, making you a trusted technical advisor to the local sales team, our partners, and our customers. In this role, you will support the EMEA region, working closely with EMEA Account Executives, partners, and customers. You will work on exciting projects with some of the most forward-thinking organisations, helping guide the start of their Generative AI journeys. This role has a strong technical skill set and is not a classic SE profile. 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 Account Executives (AEs) and will be responsible for the technical success and delivery of our sales opportunities. You will:
- Perform interactive demonstrations of the Glean platform to prospective customers.
- Educate 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.
- Scope and execute sponsored pilot and Proof of Value (PoV) exercises to ensure the technical requirements and business objectives that the Glean solution provides are validated.
- Educate and train our customers and partners on our product to ensure that they are set up for success.
- Present at company-sponsored events such as Google Cloud Next and AWS re:Invent.
- Liaise with Glean product managers and engineers to investigate issues, raise feature requests, and understand our future roadmap.
About You:
- You have a bachelor's degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience).
- You have at least 4+ years of 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.
- You are familiar with cloud infrastructure (IaaS) platforms such as GCP, AWS, and Azure.
- You are familiar with identity services and Single Sign-On (SSO) providers such as Azure/Entra ID, Okta, and protocols such as SAML, SCIM, and OIDC.
- You are familiar with APIs, including sending and receiving data from API endpoints, and how to troubleshoot issues.
- You are familiar with security concepts and tools, e.g. Firewalls, VPNs, SSL/TLS, DLP, WAFs, and proxies.
- This role is hybrid (3 days a week in our Bangalore office).
- This role supports the EMEA region, with working hours of 2:00 PM – 11:00 PM IST.
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 AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
How we rate this
Solutions Engineer (EMEA Shift) at Glean Work rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where pre sales was part of your work. What did you do?
- Tell me about a project where enterprise software was part of your work. What did you do?
- Walk me through how you've used APIs in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Solutions Architecture, Pre Sales, Enterprise Software, and APIs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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