4 days ago
Base Salary
$160k - $270k/yr
Responsibilities
- Discover and build new 0-to-1 product surfaces based on strategic customer needs.
- Lead opportunity discovery, business diagnosis, hypothesis formation, and customer validation.
- Serve as a technical partner to customer C-suite stakeholders and communicate product decisions and risks clearly.
- Build and ship production software and AI-powered solutions in ambiguous environments.
- Scale successful solutions into repeatable products in partnership with Glean’s core R&D organization.
- Work with Glean engineering and product teams to shape the evolution of the platform.
Requirements
- At least 4 years of experience in technical roles with a track record of shipping production software.
- Production experience with AI-powered solutions, including prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong full-stack programming skills and understanding of enterprise systems.
- Demonstrated 0-to-1 product-building experience in ambiguous environments.
- Strong business acumen, customer communication, independent problem-solving, and builder’s judgment.
- Deep familiarity with LLMs, retrieval systems, and evaluation frameworks is preferred.
- Experience as a founder, at a top-tier technology company, or in forward deployed engineering is preferred.
- A technical degree in computer science, engineering, mathematics, or a related field is preferred.
- Experience driving technology adoption inside large enterprises is preferred.
Benefits
- Hybrid work arrangement with 3–4 days per week in the NYC office.
- Requires 25–50% travel.
- Medical, vision, and dental coverage.
- Generous time-off policy and access to a 401k plan.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
- Certain roles may be eligible for variable compensation, equity, and additional benefits.
Categories
Forward Deployed
About Glean
Glean.ai is Intelligent AP. We leverage untapped invoice data to surface relevant context, actionable insights, and savings recommendations that power great spend decisions.
