$ cat jobs/forward-deployment-engineer-speechify-9b857c4c29b3.json
Forward Deployment Engineer
Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth. Overview As a Forward Deployment Engineer , you'll be the technical face of our company for customers from day one. You'll sit at the intersection of engineering and customer success — deeply understanding our AI/ML platform and ensuring customers integrate it successfully into their existing workflows. This is a high-impact, high-visibility role where your work directly shapes customer outcomes and informs our product roadmap. What You’ll Do 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 An ideal candidate should have 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 Experienc
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