Speechify is a leading company in audio information technology, providing innovative solutions for customers to listen to various types of content. As a Forward Deployment Engineer, you will be responsible for ensuring successful technical onboarding of enterprise customers, integrating AI/ML platforms into their workflows, and collaborating with product and engineering teams to enhance customer experiences.
Responsibilities:
- Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration
- Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value
- Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions
- Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution
- Collaborate closely with product and engineering to surface customer feedback and influence the roadmap
- Develop reusable onboarding playbooks and internal tooling to scale the deployment process
- Travel to customer sites occasionally for critical onboarding milestones or technical workshops
Requirements:
- 3–6 years of experience in a software engineering, solutions engineering, or technical implementation role
- Strong proficiency in Python and/or another backend language; comfort reading and writing production-quality code
- Experience with REST APIs, webhooks, and common integration patterns
- Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools
- Excellent communication skills — able to explain complex technical concepts to both engineers and non-technical stakeholders
- Self-starter mentality with strong project management instincts; able to juggle multiple customer engagements simultaneously
- Genuine curiosity about AI/ML and enthusiasm for helping customers unlock value from cutting-edge technology
- Prior experience at an AI/ML or developer tools company
- Familiarity with LLMs, vector databases, or ML model deployment
- Experience with enterprise software environments (SSO, VPCs, data residency requirements)
- Background in customer-facing engineering roles (forward deployment, solutions engineering, professional services)