LaunchDarklyIndia5h ago
Glean WorkPosted 7mo ago
Founding Forward Deployed Engineer at Glean Work scores 72 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
- 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 hybrid (3-4 days a week in our NYC office)
- This role requires 25-50% travel
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Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
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- List these exact terms on your resume: Prompt Engineering and AI Agents. 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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