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Jobs/Frontend Engineer Role/Speechify - Forward Deployment Engineer
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Speechify

Speechify - Forward Deployment Engineer

Remote - USA *$140k - $200k+ Equity3d ago
RemoteMidNACloud ComputingArtificial IntelligenceFrontend EngineerCustomer OnboardingPythonRESTAWSGCPAzureVectorDocumentation

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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 • 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)

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

Benefits

• 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 • Engineering at Speechify is exciting for a few reasons • We strongly believe is sustainable growth. As a startup, we put our customers and employees first. • What does a future where people consume all information through audio look like? How do we create this future? • Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. • We run many experiments and ship product updates multiple times every week. • We start from concrete user problems and build systems that solve them • We get to the right answers through careful thought and experimentation and love digging deeper into the details. • 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. • The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience • The United States Based • Think you’re a good fit for this job? • Tell us more about yourself and why you're interested in the role when you apply.And don’t forget to include links to your portfolio and LinkedIn. • Not looking but know someone who would make a great fit? Refer them! • Not looking but know someone who would make a great fit?

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