Clipbook

Forward-Deployed Engineer

Clipbook

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York

Visit company website
✨ AI Apply
Apply

Salary

💰 $150,000 - $170,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerGoogle Cloud PlatformGraphQLKubernetesNode.jsNoSQLPuppeteerPythonSQLTypeScript

About the role

  • Embed with customers: work closely with comms and public affairs teams to understand workflows and pain points and design tailor-made, scalable solutions
  • Build & deploy: own integrations, data pipelines, and product customizations (Python, TypeScript, SQL/NoSQL) and move fast from concept to customer impact
  • Act as a bridge: capture field intelligence and feed it back into product and engineering to ensure alignment with high-value user needs
  • Solve diverse technical challenges: stand up real-time ingestion pipelines, package AI/ML features for enterprise usability, and optimize cloud deployments for scale
  • Drive adoption: partner with Customer Success and Sales to convert pilots into long-term contracts and act as the technical face of Clipbook
  • Shape Clipbook’s culture: set standards for customer work, document solutions, and create repeatable playbooks as an early hire

Requirements

  • 3–6+ years of technical experience in software engineering, data engineering, or solutions engineering
  • Strong customer orientation; comfortable engaging with comms and public affairs teams
  • Bias for action; pragmatic and comfortable making decisions with incomplete information
  • Full-stack problem solver: comfortable across Python, TypeScript, SQL, Node
  • Experience debugging APIs, building quick integrations, and optimizing data flows
  • Cloud & data fluency: familiarity with AWS/GCP, containerization (Docker/K8s), CI/CD pipelines, and scaling data architectures
  • Hybrid mindset: excited to be in-office 3–4x/week with the team (NYC / SF / DC)
  • Bonus: experience in early-stage startups or as a technical founder
  • Bonus: Hands-on experience with LLMs (fine-tuning, RAG, RLHF)
  • Bonus: Experience building data pipelines, scrapers, or integrations (Playwright, Puppeteer, REST/GraphQL APIs)
  • Bonus: Background in consulting, customer-facing engineering, or forward-deployed/solutions engineering roles