Six Figure Work

Forward Deployed Engineer

Kastle

Company websitekastle.ai (Kastle, opens in new tab)

Base salary $170K  to $250K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (just now) · observed since

About this job

About Kastle

Kastle is building the AI employee for banks. We work with some of America's financial institutions, helping them scale their contact center and compliance operations using autonomous AI Agents that process payments, originate loans, and help customers get a world class experience during the biggest financial decisions of their lives. We've processed over $2 billion in transactions and are backed by Insight Partners and Y Combinator. If you are interested in building AI that is applied in the real world where precision, reliability, and performance matter and redefine access to credit across the world, apply below.

We just raised a $24M Series A and are growing fast!

About the Role

As a Forward Deployed Engineer at Kastle, you re-program entire companies.

You are not measured by technical complexity nor lines of code, but by ownership of business outcomes. Agency, judgment, and customer understanding are equally if not more valuable in this role as strong software engineering ability.

You will be driving a fundamental shift in how enterprises operate and how the largest banks in the world operate. You will own our most strategic customers to build and deploy automation and software that was previously impossible. These are not incremental improvements; you'll be replacing load-bearing workflows in production that previously consumed hundreds of thousands of human hours.


This role sits at the intersection of engineering, customer partnership, and operational excellence. You'll go deep into complex enterprise workflows, architect robust Agents using the Kastle Platform.

This role will be the best role for you if you are someone that is excited by business and solving real problems instead of only deriving value from writing code.

Responsibilities

  • Build, configure, and launch AI agents on Kastle’s platform to handle real borrower workflows

  • Write production-grade backend and full-stack code (Python, Java, TypeScript) to integrate with loan servicing systems, data sources, and telephony platforms.

  • Own the full agent development life cycle: prototype quickly, set up CI/CD, monitor live usage, iterate to targets, and document best practices to speed up future projects.

  • Scope ambiguous customer asks, prototype quickly, and iterate into stable deployments.

  • Act as the technical face of Kastle in key accounts, building trust through speed, empathy, and impact.

  • Feed customer learnings back into the core product, influencing roadmap and reusable tooling.

What We’re Looking For

  • At-least 3 years of engineering experience, and 1 year of customer facing experience.

  • Proficiency in Python, Java, or similar; comfortable building APIs and backend systems.

  • Bias toward outcomes: you care more about unblocking customers and delivering value than perfect abstractions.

  • Strong work ethic; very high attention to detail; can own a project end-to-end with limited or no guidance.

  • Customer-centric: confident working directly with business leaders as well as engineers.

Interview Process

  • 15 min interview with our Talent Lead to learn more about the role

  • 1 hour live coding interview with CTO/Founding Engineer

  • 1 hour AI agent design interview with CTO

  • 1 day onsite at HQ

Why join Kastle

  • Opportunity to work with a world class team building a generational AI company that will redefine how every loan in America is made and managed

  • Ability to move fast while your work impacting millions of customers. Add a new feature in a few days and ship it to top 10 lenders the next week.

  • Competitive Compensation + Meaningful Equity at a high growth company

  • High ownership and direct input on product direction, company culture, and how the FDE function scales

Other Perks and Benefits

  • Free MLO training and support

  • Robust medical, vision, & dental coverage

  • 401(K) plan offering

  • Paid Company Meals

  • Company offsites to get to know the team

Source: Kastle on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($170,000) is above 32% of the 1,514 Data & ML roles in California listed on this site; 26 others list the same floor. Their median floor is $187,500; the middle half runs from $159,200 to $229,375.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Kastle roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Kastle roles with the nearest advertised base floor
RolePublished base
Forward Deployed Engineer (this listing)$170K - $250K
Founding Growth Lead$170K - $200K
Infrastructure Engineer$180K - $275K
Founder's Office$150K - $210K
Forward Deployed Product Manager$150K - $220K
Head of Talent$200K - $250K
Senior Product Manager$200K - $250K

Same $100K to $400K scale as every card. All Kastle roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. fields changed
Observed since
Employer-stated posting date
2025-09-09
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 170,000 – 250,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.