Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
Communication @ 6
LLM @ 3
Mathematics
Prompt Engineering @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is building a Work AI platform that combines enterprise search, an AI Assistant, scalable AI agents, over 100 enterprise SaaS connectors, flexible LLM choice, robust APIs, and Enterprise and Personal Knowledge Graphs.
You will join as a founding member of Glean's Forward Deployed team, operating with the autonomy and accountability of a founder. Working in a pod with Forward Deployed Product Managers, you will identify and build new product surfaces for strategic customers, working directly with customer C-suites and Glean's engineering and product teams. The role focuses on 0-to-1 product creation, solving unsolved business problems, and scaling successful solutions into products for Glean's customers.
Responsibilities
- Discover and build Glean's next product surfaces through 0-to-1 product creation.
- Identify opportunities where Glean's platform can solve problems that existing products do not address.
- Lead deep opportunity discovery by understanding business problems, forming hypotheses, determining what is buildable, and testing solutions with customers.
- Serve as a technical partner to customer C-suites, explaining solutions, expected outcomes, and risks.
- Scale successful solutions by working closely with the core research and development team to make products repeatable and scalable.
- Collaborate with Glean's core engineering and product teams to shape the evolution of the platform.
- Travel 25–50% as required.
Requirements
- A founder mindset, with curiosity about customer businesses and the ability to identify problems and determine what to build.
- A track record of building production software from scratch in ambiguous environments and shipping products used by real people at scale.
- Experience shipping production AI-powered solutions, including prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong full-stack programming skills and a deep understanding of enterprise systems.
- Business acumen and the ability to connect customer problem diagnosis to product hypotheses.
- Strong customer instincts, communication skills, and the ability to tailor technical depth to the audience.
- Sound builder's judgment, including the ability to assess feasibility, estimate delivery effort, simplify scope, and solve problems independently.
- Curiosity, resourcefulness, and a willingness to investigate problems deeply.
- 4+ years of experience in technical roles with a track record of shipping production software.
- Former technical founders are strongly encouraged to apply.
Nice to Have
- Experience as a founder, at a top-tier technology company, or in a forward deployed engineering role.
- A technical degree in computer science, engineering, mathematics, or a related field.
- Deep familiarity with LLMs, retrieval systems, and evaluation frameworks.
- Experience driving technology adoption inside large enterprises.
Location
- Remote in the United States.
- Requires 25–50% travel.
Compensation and Benefits
- Annual salary range of $160,000–$270,000 USD.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Medical, vision, and dental coverage.
- Generous time-off policy and 401(k) plan.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
- Inclusive and diverse workplace.
Interview Process
Candidates complete a brief AI-focused exercise or discussion covering how they think about, design, and use AI to drive impact.