Field Engineer

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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