Solution Engineer

Aboard; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Aboard seeks a Solution Engineer to bridge customer needs and delivered software in a hybrid role. You will conduct discovery, design and prototype solutions, close strategic engagements, and build production systems that solve real problems.

You will translate business requirements into working software while demonstrating what is currently possible with our AI-enabled tooling and architectures.

Qualifications

• 5+ years in solution engineering or similar client‑facing technical roles.
• Experience designing custom software solutions through to production.
• Strong UI/UX sense and translating requirements into clear specs.

Responsibilities

• Lead technical discovery to understand customer problems and requirements.
• Produce artifacts: requirements docs, technical specs, and data schemas.
• Build production-grade software—data models, business logic, integrations, and UIs—using AI tooling.
• Partner with engineering on legacy migration, security, integrations, and deployment into customer environments.
• Ensure solutions meet enterprise security, scalability, and compliance requirements.
• Provide post-launch support and synthesize feedback for Product and Engineering.

Skills

Solution engineering

Technical consulting

Product management

Web architectures

UI/UX instincts

Stakeholder management

Job description

About Aboard

Aboard is an AI-native software delivery agency. We're not vibe coding, not SaaS, and not a traditional agency—we use AI across the entire development lifecycle to ship production-grade custom software in weeks, not months, at a fraction of traditional cost. The combination of off the shelf and our proprietary tools help us move fast; our team closes the loop with the expert refinement that makes systems enterprise-grade.

The Role

As a Solution Engineer, you'll be the bridge between customer needs and delivered software. This hybrid role pairs pre-sales technical consulting with hands‑on implementation: you'll run discovery, design and prototype solutions, close deals, and build the production systems that solve real problems.

It's a role for someone who can translate business requirements into working software while showing customers what's now possible.

What You'll Do

Solution Design

• Lead technical discovery to understand customer problems and requirements

• Run tailored demos and build proofs‑of‑concept that validate feasibility and business value

• Articulate Aboard's differentiation from traditional agencies, SaaS, and AI coding tools

Implementation & Delivery

• Produce key artifacts: requirements docs, technical specs, and data schemas

• Build production‑grade software—data models, business logic, integrations, and UIs—using AI tooling

• Partner with engineering on legacy migration, security, integrations, and deployment into customer environments

• Ensure solutions meet enterprise security, scalability, and compliance requirements

Customer Success & Collaboration

• Provide post‑launch support and synthesize feedback for Product and Engineering

• Contribute to our internal knowledge base and solution patterns

• Drive adoption and expansion across customer accounts

What We're Looking For

Required Experience

• 5+ years in solution engineering, technical consulting, product management, or similar client‑facing technical roles

• Track record of designing custom software solutions and seeing them through to production

• Technical fluency with modern web architectures—you can evaluate tradeoffs without writing production code daily

• Strong UI/UX instincts and the ability to translate business requirements into clear specs

• Proven ability to build rapport with both technical and business stakeholders, and to close or scope technical engagements

Preferred Qualifications

• Background in consulting, agency, or professional services

• Vertical depth in insurance/insurtech, finance, or operations

• Familiarity with AI/ML tools and prompt engineering

• Experience at an early‑stage startup