- Location
- Seattle, WA,US, US
- Type
- Full-time
- Department
- Engineering
- Experience
- 5+ years
- Source
- Eightfold
Description
Partner directly with customers to understand business challenges, technical constraints, and opportunities for innovation. Own technical delivery for a customer workstream from discovery through design, build, testing, go-live, and early operational handoff. Rapidly prototype ideas, test assumptions, iterate from customer feedback, and convert successful prototypes into maintainable production systems. Build high-quality software components, integrations, APIs, event-driven workflows, data pipelines, and automation. Translate ambiguous customer needs into clear technical designs, implementation plans, and operational runbooks. Explore unfamiliar technologies, customer domains, and AI capabilities with curiosity, speed, and sound engineering judgment. Collaborate with Product and Engineering to identify platform gaps, repeatable customer needs, and opportunities to productize field-built solutions. Contribute reusable components, templates, reference patterns, and implementation notes that accelerate future delivery. Communicate technical tradeoffs clearly to customer stakeholders, internal engineering teams, product leaders, and executives. Navigate difficult delivery moments with creativity, perseverance, and a bias toward making progress. Help customers identify practical, high-impact uses of AI within existing enterprise workflows. Prototype and implement AI-enabled automation patterns within approved security, privacy, and compliance guardrails. Integrate AI capabilities into existing systems and processes using secure, auditable designs. Design human-in-the-loop workflows that balance automation, accuracy, explainability, and operational control. Apply good judgment when working with sensitive data, access controls, evaluation, monitoring, and failure modes. Contribute reusable AI workflow examples, implementation notes, and lessons learned to the FDE library. What Makes You Successful Successful FDEs combine strong engineering judgment with a builder's mindset and deep customer empathy. In this role, the following traits matter as much as specific domain experience: Curiosity: You genuinely enjoy learning new technologies, customer domains, workflows, and AI capabilities. Creativity: You look for novel, elegant ways to solve problems when there is no established playbook. Perseverance: You stay resilient through ambiguity, iteration, technical blockers, and changing customer needs. Builder's mindset: You prefer making things real: prototypes, code, demos, tools, and production systems. Customer empathy: You listen carefully, ask strong questions, and connect technical choices to business outcomes. Systems thinking: You understand how people, process, data, and technology interact in real-world environments. Engineering discipline: You move fast, but you care about quality, maintainability, reliability, and security. Communication: You can explain complex tradeoffs clearly to engineers, product teams, executives, and customer stakeholders. 5+ years of experience building software, developer platforms, cloud applications, AI-enabled products, technical solutions, or production integrations. Strong software engineering fundamentals, including APIs, cloud services, data flows, testing, deployment, monitoring, and debugging. Experience building and deploying production systems or customer-facing technical solutions. Comfort working in ambiguous environments, learning new domains quickly, and iterating toward outcomes. Strong communication and collaboration skills in customer-facing or cross-functional environments. Ability to translate business requirements and technical constraints into practical, working solutions. Familiarity with modern cloud platforms such as AWS, Azure, or GCP. Hands-on familiarity with AI-enabled tools, LLMs, copilots, workflow automation, or agentic patterns. Sound judgment around security, privacy, compliance, and responsible use of AI. Enterprise software experience is a differentiator, not a gatekeeper. Exceptional engineers from startup, SaaS, platform, developer tools, AI product, consulting, or modern enterprise software backgrounds are encouraged to apply. Experience with HCM, Payroll, Workforce Management, ERP, IAM, SSO, or integration-heavy environments. Experience with REST APIs, event-driven systems, ETL/ELT, data pipelines, workflow orchestration, or identity integrations. Experience contributing reusable frameworks, templates, internal tools, or reference architectures. Familiarity with agent patterns such as tools, orchestration, retrieval, evaluation, and human-in-the-loop controls. Experience working directly with customers, users, or business stakeholders to turn ambiguous needs into working software. Success Metrics: Customers reach meaningful value faster through delivered solutions. Production go-lives are stable, well-documented, and maintainable. Reusable assets and patterns are adopted across the FDE team and broader engineering organization. Product and Engineering receive clear, actionable feedback from customer engagements. Customer stakeholders trust the technical approach and understand key tradeoffs. Delivered solutions uncover expansion opportunities and shape future platform capabilities
