Partner with Account Executives to design, demo, and run technical POCs for Glean's Work AI platform. Lead technical discovery, architect integrations and API-based connections, address security concerns, build custom demos/environments, produce ROI/business justification, and coordinate cross-functionally with product and engineering to deliver customer solutions.
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
As a Solutions Engineer at Glean, you’ll partner with sales to design, demo, and prove the value of our Work AI platform for customers. You’ll lead technical discovery, architect integrations and data connections, and confidently navigate security to accelerate decisions. If you love translating complex technology into clear business outcomes, you’ll thrive helping enterprises adopt AI that actually gets work done.
- Partner with Account Executives to navigate complex, multi-stakeholder deal cycles with C-level executives
- Create and demo custom environments based off of customer industry and line of business
- Run and manage a technical POC cycle
- Perform customer facing activities including technical discovery calls
- Lead security based conversations to make customers comfortable with Glean’s security posture
- Work cross functionally with product and engineering to deliver customer request and be a voice of the customer
- Develop ROI and business justification reports and presentations
About you:
- 5+ years of sales engineering or solution consulting experience in a SaaS organization
- Bachelor's degree in CS or a related field
- Excellent written and verbal communication skills
- Highly motivated, driven and self-starting individual
- Ability to work in a fast paced, team environment
- Clear examples of partnering with AEs to run technical deal cycles with Enterprise customers
- A consultative approach with solving your customer’s business challenges and having a track record of successfully overcoming technical and security objections
- Familiarity with any cloud environment (GCP, AWS, Azure)
- Proficiency in Python or Java
- Ability to configure, monitor, and maintain API based integrations
Location:
- This role is remote (must be based in Pacific or Mountain time zones)
The standard OTE range for this position is $200,000 - $285,000 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’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of 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.
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead pre-sales engagements for Motive's largest customers, shaping deal strategy with Strategic AEs, delivering tailored demos, responding to RFPs/RFIs, designing technical solutions and integrations, and acting as a trusted advisor to executive stakeholders.
Top Skills:
APIsIntegrationsSaaS
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Designs and owns Webflow’s foundational cloud and source-control infrastructure, including multi-account landing zones, networking, DNS, PKI, secrets, Infrastructure as Code, GitHub delivery pipelines, self-service hosting patterns, policy guardrails, observability, cost controls, and security baselines. Partners with SRE, security, and developer productivity teams to improve reliability, scalability, adoption, and performance while managing cloud vendors and tooling relationships.
Top Skills:
AnsibleAWSAzureDatadogDnsFinopsGCPGithub ActionsGrafanaPkiPrometheusPulumiTerraformVpc
Financial Services
Designs, develops, tests, and delivers secure reusable frameworks, SDKs, and developer tools for enterprise engineering teams. Builds AI-native components with agent interfaces, CLIs, and documentation; implements security, resiliency, and observability by default. Analyzes adoption and health data to improve components, contributes to engineering communities, and supports team onboarding. Requires advanced Java, JavaScript, or Python skills, enterprise software development experience, SDLC and agile knowledge, and familiarity with cloud, AI, or machine learning.
Top Skills:
Artificial IntelligenceCi/CdClisCloud-NativeInfrastructure As CodeJavaJavaScriptLogsMachine LearningMetricsObservabilityPythonSdksTraces
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
