Forward Deployment Engineer

Stellenbeschreibung:

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
  • 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

Nice-to-Have

  • 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)

Why This Role

  • Direct influence on product direction — your customer insights will shape what we build
  • High ownership from day one with a clear path to senior or team lead roles
  • Competitive salary, equity, and benefits
  • Collaborative, low‑ego team that values craft and customer obsession

What we offer

  • A fast‑growing environment where you can help shape the company and product
  • An entrepreneurial‑minded team that supports risk, intuition, and hustle
  • A hands‑off management approach so you can focus and do your best work
  • An opportunity to make a big impact in a transformative industry
  • Competitive salaries, a friendly and laid‑back atmosphere, and a commitment to building a great asynchronous culture
  • Opportunity to work on a life‑changing product that millions of people use
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more
  • Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio

Salary

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Apr 2026
  • Standort:

    WorkFromHome

    Einsatzort:

    Hanover
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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