Forward Deployed Engineer

morgan pinnacle group • United State
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AI Summary

Implement AI technology and build customizations for customers. Own high-impact customer implementations and help shape product capabilities. Work at a rapidly growing AI company building automation solutions for enterprise customers.

Key Highlights
Implement AI technology and build customizations for customers
Own high-impact customer implementations
Help shape product capabilities
Key Responsibilities
Own end-to-end implementation and execution of high-impact customer engagements
Gather customer requirements and determine the best way to apply AI automations to existing workflows
Build customer-specific features and integrations that ultimately become part of the core engineering product
Technical Skills Required
Python TypeScript LLMs
Benefits & Perks
$175,000-$235,000 base salary
Equity (0.08%-0.15%)
Visa sponsorship available
Nice to Have
Former founding engineer or early startup engineer
Experience building AI automations and enterprise integrations
Passion for solving customer problems rather than focusing exclusively on internal platform development

Job Description


Forward Deployed Engineer

Full-Time | On-Site | San Francisco, CA

Salary: $175,000-$235,000 + Equity

Visa sponsorship available

The hiring team is moving quickly and has a strong preference for candidates who can start soon.


About the Role

We're seeking a Forward Deployed Engineer to work directly with customers to implement AI technology and build any required customizations.

In this role, you'll apply your problem-solving ability, creativity, and technical skills to become customers' primary technical resource for implementing AI-powered automations. You'll own high-impact customer implementations while helping shape product capabilities by building solutions that can ultimately become part of the core platform.

This is an opportunity to work at a rapidly growing, venture-backed AI company building cutting-edge automation solutions for enterprise customers.


Responsibilities

  • Own end-to-end implementation and execution of high-impact customer engagements.
  • Gather customer requirements and determine the best way to apply AI automations to existing workflows.
  • Build customer-specific features and integrations that ultimately become part of the core engineering product.
  • Collaborate closely with engineering, product, customer success, and enterprise customers.
  • Deliver production-ready solutions in a fast-paced startup environment.


Qualifications

  • 2-4 years of experience as a Forward Deployed Engineer or Backend Engineer with customer-facing experience.
  • Experience working at a VC-backed AI startup or other well-funded technology company.
  • Strong proficiency in Python and TypeScript.
  • Experience building production software using LLMs and AI agents.
  • Demonstrated experience building and deploying customer-facing technical solutions.
  • Excellent technical documentation and communication skills.
  • Comfortable collaborating with both technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Engineering, or another STEM discipline.
  • Able to work on-site five days per week in San Francisco (relocation considered).


Preferred Qualifications

  • Former founding engineer or early startup engineer.
  • Experience building AI automations and enterprise integrations.
  • Passion for solving customer problems rather than focusing exclusively on internal platform development.
  • Comfortable working in a fast-paced startup environment with evolving priorities.


Compensation & Benefits

  • $175,000-$235,000 base salary
  • Equity (0.08%-0.15%)
  • Visa sponsorship available
  • Opportunity to work directly with enterprise customers implementing cutting-edge AI solutions
  • Work alongside an experienced engineering team building production AI systems


About the Company

This venture-backed AI company is transforming enterprise workflows through intelligent automation. Its platform helps automate time-consuming manual processes, saving customers thousands of hours while improving efficiency and accuracy. Founded in 2023 with approximately 25 employees and $25M in funding, the company is rapidly growing and expanding its engineering team. 


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