Forward Deployed Engineer

Greylock Partners; Menlo Park (CA); Hybrid; USD 130,000 - 190,000; Full time

Job summary

Greylock Partners is backing an early-stage AI platform company focused on transforming large-scale programs. The role involves working directly with enterprise customers to deploy AI agents, tailor workflows, and ensure successful outcomes from definition through deployment and ongoing improvements.

You will collaborate across product, engineering, and customer success teams to translate customer needs into repeatable features, spot risks, and help shape the product roadmap in a Bay Area

Responsibilities

• Work with enterprise customers to understand their operations and pain points.
• Set up and deploy AI agents and workflows tailored to each customer.
• Use internal AI tools to organize data, fine-tune prompts, check outputs, and improve agent performance.
• Maintain a real-time view of commitments vs. progress and flag risks.
• Ensure quality of customer requirements, tests, code, and delivery processes.
• Collaborate with product, engineering, customer success, and go-to-market teams to turn needs into repeatable features.
• Identify trends across customers and influence the product roadmap.
• Build polished AI solutions for customers that feel like real products.

Job description

We've recently invested in an early-stage AI company that's taking on one of the toughest problems for large companies: large-scale transformation projects. If you've ever seen a massive system migration or a finance overhaul, you know how messy these are: years of work, huge budgets, tons of teams, and still, most of them miss the target.

This company is building an Agentic AI platform to fix that. It gives teams a real-time, living map of the whole project: what's been promised, what's actually happening, what's left, and where things might go wrong. It pulls together everything: documents, requirements, code, systems, meetings, even conversations to connect the dots and spot risks before they turn into expensive problems.

They just came out of stealth with over $50 million raised and are already working with big-name customers. The team is small but super sharp, and this is a rare chance to get in early on something big.

Funding: Series A, already with paying customers

What you'll do:

• Work side by side with enterprise customers to understand how they operate and where they get stuck.
• Set up and deploy AI agents and workflows tailored to each customer’s needs.
• Use internal AI tools to organize customer data, fine-tune prompts, check outputs, and improve how the agents perform.
• Help keep a real-time view of what customer teams said they'd do, what they're doing now, and where trouble might be brewing.
• Check the quality and consistency of customer requirements, tests, code, and delivery processes.
• Work with product, engineering, customer success, and go-to-market teams to turn customer needs into repeatable features.
• Spot trends across customers and help steer the product roadmap.
• Build and polish AI solutions for customers that feel like real products, not just one-off projects.
• Own customer outcomes from start to finish- from defining the problem to deployment and ongoing improvements.

The team is in the Menlo Park office three days a week. You'll need to be in the Bay Area or ready to move here.