Why this role stands out
As a Founding Forward Deployed Engineer at Glean, you will play a pivotal role in shaping the future of Work AI, driving significant customer impact and gaining invaluable experience in a rapidly growing, highly innovative company. This remote position is ideal for a seasoned engineer who thrives on technical challenges and wants to contribute to groundbreaking AI solutions with a reputable industry leader. Apply now to be at the forefront of transforming how businesses work!
Quick overview
Job description
- Discover and build Glean's next product surfaces: Your primary job is 0-to-1 product creation. Nothing about what you're building is predefined - you'll work with your FDPM to identify where Glean's platform can be extended to solve problems no product currently solves, then design and ship it. What you build becomes what Glean ships.
- Lead deep opportunity discovery: Before you write a line of code, you go deep on the business. What's structurally broken? Where is the biggest concentration of unsolved value? What's actually buildable, and what's the fastest path to something real that can be tested and learned from? You'll form strong hypotheses alongside your FDPM and pressure-test them directly with the people who have to live with the outcome.
- Be a technical partner to the C-suite: You'll earn trust at the highest levels of your customer organizations - not just with technical teams, but with the executives who are accountable for outcomes. You can explain what you're building, why it will work, and what the risks are to anyone in the room.
- Scale what works Once something works, you'll make it repeatable - working closely with the core R&D team to ensure the product is scalable
- Stay at the frontier with Glean's R&D team: You'll work closely with Glean's core engineering and product teams, staying ahead of what's possible on the platform and actively shaping how its capabilities evolve. What you encounter in the field directly informs what gets built next.
- You think like a founder. When you walk into a customer, you're curious about the business, digging into what's broken, and figuring out what to build that doesn't yet exist. You're scrappy and resourceful, you move fast enough to learn, and you're as comfortable in a strategic discussion with a CEO as you are deep in a codebase. You've shipped actual products that real people use, that drove real outcomes - and you want to do it at a higher level of ambition.
- 0-to-1 build track record: You've built production software from scratch in ambiguous environments. You can point to something that didn't exist before you showed up and is now used by real people at scale.
- Production AI experience: You've shipped AI-powered solutions in the real world - prompt engineering, agent development, evaluation frameworks, deployment at scale. Not just prototypes.
- Full-stack technical depth: Strong programming skills across the stack with a deep understanding of and experience with how enterprise systems actually work.
- Business acumen: You can walk into a customer, identify where the real problems are, and connect that diagnosis to a product hypothesis - without being handed a brief.
- Customer instinct: You build trust quickly at every level of an organization, communicate with clarity, and know how to tailor your depth to the room.
- Builder's judgment: You know what's actually buildable, how long it will take, and when to simplify scope to get something real into production faster. You spot problems early and solve them independently.
- Curiosity and scrappiness: You're driven to understand problems deeply before solving them, and resourceful enough to find a path forward when none is obvious.
- Experience: 4+ years in technical roles with a track record of shipping production software. Former technical founders are strongly encouraged to apply.
- Willingness to travel: This role requires 25–50% travel.
- Nice to Have:
- Experience as a founder, at a top-tier technology company, or in a forward deployed engineering role.
- A technical degree in CS, engineering, math, or a related field.
- Deep familiarity with LLMs, retrieval systems, and evaluation frameworks.
- Experience driving technology adoption inside large enterprises.
- This role is remote
- This role requires 25-50% travel
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