Forward Deployed Software Engineer
Growth Signals · Boston, MA · 6 mo ago
HybridEngineeringFull-time
Responsibilities
- Participate in end-to-end delivery of enterprise customer solutions, supporting engagements from requirements and discovery through deployment and adoption.
- Serve as a technical advisor by translating customer business needs and ambiguous challenges into clear, incremental, and deployable solution requirements.
- Own the project execution lifecycle for customer engagements, including requirements gathering, milestone definition, task breakdown, dependency tracking, and delivery coordination.
- Support the technical lifecycle of customer implementations, including solution design, configuration, integration, deployment, and post-deployment stabilization.
- Engage directly with customers during implementation phases—including onsite participation—to support successful delivery, adoption, and operational readiness.
- Design and support secure, scalable, and reliable software solutions appropriate for enterprise environments.
- Collaborate closely with Sales, Customer Success, Engineering, and Product teams to ensure aligned execution and predictable delivery outcomes.
- Absorb and resolve technical or delivery issues in coordination with internal stakeholders.
- Advocate for customers by capturing implementation insights, product feedback, and feature requests and relaying actionable input to Product and Engineering teams.
- Maintain delivery standards related to solution quality, documentation, deployment readiness, and adherence to enterprise security and compliance practices.
Requirements
- 3+ years in a software, solutions, or customer-facing technical role.
- Working knowledge of project management practices, including requirements definition, milestone planning, and delivery coordination.
- Proficiency with APIs, cloud platforms, and modern SaaS architectures.
- Hands-on development of frontend components using React and TypeScript, integrated with backend services.
- Capability designing and implementing secure backend APIs using Python (e.g., Flask, Pydantic, Pyright, or similar frameworks).
- Familiarity with LLMs, GenAI workflows, agent frameworks, or MCP concepts preferred.
- Strong customer-facing communication skills, comfort working in structured delivery environments, and willingness to travel 40–50%.
Qualifications
- Demonstrated success delivering complex enterprise software solutions in customer-facing, client-embedded environments.
- Prior experience in Solutions Engineering, Forward Deployed Engineering, Professional Services, or Enterprise Delivery roles with direct ownership of outcomes.