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Field Engineer


Job Location:

San Francisco, CA - USA

Yearly Salary: USD 485000 - 520000
Posted: 2 October 2026 (17 hours ago)
Application Deadline: 30 December 2026
Vacancies: 1 Vacancy

Job Summary

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
Field Engineer
Location

Nationwide USA

Fully remote within the US with approximately 20% travel to customer sites across North America. Preference for at least one hire on the West Coast.

Company Stage of Funding

Growth-Stage / Established Technology Services Company

Office Type

Remote US-based

Approximately 20% travel required typically around 3 customer trips per month up to 3 days each.

Salary

$185000 $220000 Base

Plus uncapped 5% commission on closed-won contract value. Estimated OTE of $485000 $520000 at a $6M annual quota.

Equity

Not specified

Visa

Not open to visa Citizens and Green Card holders only.

Experience

010 years of experience as a Field Engineer Forward-Deployed Engineer Solutions Architect or early-stage product/engineering role with significant customer-facing responsibility.

Employment Type

Full-time

Hiring Count

1 candidate

Company Description

This is an AI-powered digital transformation company helping enterprises solve complex technology and business problems through modern cloud data AI and software solutions.

The company combines strategic consulting with hands-on technical implementation working with enterprise customers to identify high-value opportunities and turn ambiguous business problems into concrete technical outcomes.

The organization works across technologies including AWS Databricks OpenAI Anthropic AI/ML cloud architecture API integrations and enterprise software.

This role sits at the intersection of engineering customer engagement solution architecture and business development. Field Engineers are responsible for taking qualified opportunities and owning the technical and commercial process through deal closure.

The ideal candidate is a technically strong customer-facing engineer who can speak credibly with enterprise architects understand ambiguous business requirements design practical solutions build prototypes scope technical work price engagements and confidently drive customer conversations toward a concrete outcome.

This is not a traditional post-sales implementation role. The Field Engineer is a primary technical closer who combines engineering depth with customer-facing communication and commercial ownership.

What You Will Do
1. Lead Customer Opportunities From Discovery Through Close
  • Take qualified inbound opportunities from the GTM team and own the remaining customer engagement through deal closure.
  • Lead technical discovery conversations with enterprise customers and technical stakeholders.
  • Understand ambiguous customer problems and translate them into specific technical requirements.
  • Identify the underlying business and technical objectives behind customer requests.
  • Guide customers toward clearly defined solutions and measurable outcomes.
  • Build trust with enterprise architects technical leaders and business stakeholders.
  • Drive customer conversations toward concrete technical and commercial decisions.
  • Take ownership of the opportunity rather than simply providing technical support to a sales team.
2. Design & Validate Technical Solutions
  • Design technical solutions across cloud data AI/ML and enterprise software environments.
  • Build proofs of concept and prototypes to validate proposed solutions with customers.
  • Work across technologies such as AWS Databricks OpenAI and Anthropic.
  • Evaluate different technical approaches and recommend practical solutions.
  • Translate high-level business problems into concrete architectures workflows integrations and implementation plans.
  • Work across different technology stacks and adapt quickly to customer environments.
  • Demonstrate proposed solutions directly to customers.
  • Balance technical quality customer requirements implementation complexity and commercial considerations.
3. Scope Price & Close Engagements
  • Define the technical scope of customer engagements.
  • Translate technical requirements into clear deliverables and implementation plans.
  • Write statements of work that accurately capture the proposed engagement.
  • Price engagements using internal capacity and delivery models.
  • Work through scope pricing timelines and technical tradeoffs with customers.
  • Negotiate technical and commercial details to reach agreement.
  • Identify opportunities to expand or refine the engagement based on customer needs.
  • Own the technical side of the deal through contract closure.
4. Transition Solutions Into Delivery
  • Hand clearly defined technical outcomes to the applied research and delivery teams.
  • Ensure customer requirements scope architecture and expected outcomes are clearly documented.
  • Collaborate with delivery teams to ensure successful handoff.
  • Capture customer context and technical decisions made throughout the sales process.
  • Continue learning from delivered engagements to improve future customer solutions.
  • Develop repeatable approaches to solving common enterprise problems.
  • Move efficiently from one qualified opportunity to the next.
  • Help establish best practices for technical discovery solution design scoping and deal closure.
Ideal Candidate Background
Experience Requirements
  • 0 years of relevant professional experience with exceptional early-career candidates considered.
  • Experience as a Field Engineer Forward-Deployed Engineer Solutions Architect or customer-facing software engineer.
  • Experience where building/shipping technology and working directly with customers were part of the same role.
  • Strong experience translating customer problems into technical solutions.
  • Experience working directly with enterprise customers or technical stakeholders.
  • Experience owning technical projects from discovery through delivery or implementation.
  • Experience operating effectively in ambiguous environments.
  • Strong ability to learn unfamiliar technologies and customer environments quickly.
  • Experience working in fast-paced technology organizations.
  • Commercial awareness and interest in owning customer outcomes.
Technical Requirements
  • Strong technical foundation across modern software and cloud technologies.
  • Strong AWS experience is particularly important.
  • Experience with cloud architecture and enterprise software.
  • Understanding of APIs and system integrations.
  • Experience working with AI/ML technologies is a strong plus.
  • Experience with Databricks is a plus.
  • Experience with OpenAI or Anthropic technologies is a plus.
  • Ability to understand and communicate across different technology stacks.
  • Strong system architecture and technical problem-solving skills.
  • Ability to build prototypes and proofs of concept.
  • Comfortable working hands-on with technology when validating solutions.
  • Strong understanding of software engineering fundamentals.
Customer & Commercial Requirements
  • Strong customer-facing experience.
  • Comfortable speaking with enterprise architects and senior technical stakeholders.
  • Able to lead ambiguous discovery conversations.
  • Can translate broad customer requirements into concrete technical outcomes.
  • Comfortable discussing technical scope timelines and implementation requirements.
  • Able to define and communicate solution architecture clearly.
  • Comfortable discussing pricing and commercial tradeoffs.
  • Experience writing proposals statements of work or technical scopes is a strong plus.
  • Strong presentation and demo skills.
  • Comfortable owning a customer opportunity through closure.
  • Willing to travel approximately 20% to customer sites across North America.
Soft Skills
  • Highly personable and confident communicator.
  • Strong executive and technical presence.
  • Comfortable leading conversations rather than simply responding to customer requests.
  • High ownership and accountability.
  • Strong commercial judgment.
  • Comfortable operating with limited information.
  • Strong problem-solving and systems-thinking skills.
  • Able to simplify complex technical concepts for different audiences.
  • Strong listening and discovery skills.
  • Comfortable challenging assumptions and asking difficult questions.
  • Adaptable and quick to learn new technologies.
  • Strong written and verbal communication.
  • Comfortable working independently in a remote environment.
  • Motivated by customer impact and measurable outcomes.
Compensation & Benefits
  • $185000 $220000 base salary.
  • Uncapped 5% commission on closed-won contract value.
  • Estimated OTE of $485000 $520000 at a $6M annual quota.
  • No commission cap.
  • Top performers have the potential to earn significantly above standard OTE.
  • Full-time position.
  • Fully remote within the United States.
  • Approximately 20% travel to customer sites across North America.
  • Opportunity to work across AWS Databricks OpenAI Anthropic AI/ML and enterprise software.
  • Significant ownership over customer opportunities from technical discovery through close.
  • Opportunity to combine engineering architecture customer engagement and commercial ownership.
Why Join
  • Own qualified enterprise opportunities from technical discovery through deal closure.
  • Combine technical engineering work with customer-facing and commercial responsibility.
  • Work directly with enterprise architects and senior technical stakeholders.
  • Build real prototypes and solutions using modern cloud and AI technologies.
  • Work across AWS Databricks OpenAI Anthropic and enterprise software.
  • Have significant influence over the technical and commercial shape of customer engagements.
  • Earn uncapped commission directly tied to closed-won customer engagements.
  • Work remotely while engaging directly with enterprise customers across North America.
  • Operate at the intersection of engineering AI cloud architecture and enterprise transformation.
  • Build a career path that combines technical depth with customer and commercial leadership.

Required Experience:

IC


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