Forward Deployed Engineer

Recruiting From Scratch

  • San Francisco, New York
  • 6 days ago
  • $200,000–$255,000 Per Year

Highlights

This company is building an institutional judgment layer that enhances decision-making processes in financial services, leveraging cutting-edge technology to drive efficiency and effectiveness. Experience deploying AI or data products in production environments, showcasing a blend of technical depth and business acumen.

Numbers & Facts

LocationSan Francisco, New York
Salary$200,000–$255,000 Per Year

Description

Forward Deployed Engineer

  • Title of Role: Forward Deployed Engineer
  • Location: New York, hybrid
  • Company Stage of Funding: Pre-Seed — Software Development
  • Office Type: Hybrid
  • Salary: $200K–$255K

Company Description

We're representing a dynamic startup at the forefront of AI and software development, focused on delivering innovative solutions for regulated institutions. This company is building an institutional judgment layer that enhances decision-making processes in financial services, leveraging cutting-edge technology to drive efficiency and effectiveness. With a small, agile team, they are poised for rapid growth and impact in the industry.

What You Will Do

  • Engage directly with enterprise customers to deploy AI and LLM products, ensuring successful integration and adoption.
  • Collaborate across product, engineering, and business teams to bridge gaps and enhance customer experience.
  • Own customer success metrics, driving outcomes such as adoption and retention through effective solutions.
  • Rapidly prototype and iterate on customer-specific applications, leveraging Python and AI technologies.
  • Translate complex business requirements into technical solutions, communicating effectively with both technical and non-technical stakeholders.

Ideal Candidate Background

  • 2–8 years of experience in a customer-facing engineering role, such as Forward Deployed Engineer or Solutions Engineer.
  • Strong proficiency in Python, with a solid understanding of LLMs, prompt engineering, and ML pipelines.
  • Proven ability to work directly with enterprise stakeholders, demonstrating ownership of customer success metrics.
  • Experience deploying AI or data products in production environments, showcasing a blend of technical depth and business acumen.

Preferred

  • Familiarity with APIs and system integrations, enhancing the ability to build seamless solutions.
  • Experience in high-growth startups or enterprise SaaS environments, contributing to a fast-paced, innovative culture.

Compensation and Benefits

The base salary for this role ranges from $200K to $255K, complemented by competitive equity options. This company offers a unique opportunity to shape the future of AI in regulated industries while being part of a passionate and driven team.

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