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Recorded Future

Machine-readable threat intelligence with VAR partnerships

Product Support Solutions Developer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • At least 3 years of experience in product support engineering, support operations, technical support, or developer relations.
  • Hands-on programming experience with tools or technologies such as Python, JavaScript/Node.js, REST APIs, webhooks, and JSON to build custom tooling and integrations.
  • Deep administrator or developer experience with customer support ecosystems such as Zendesk API/Apps Framework, Jira Service Management, Salesforce, or Freshdesk.
  • Strong SQL skills and experience building dashboards in business intelligence tools such as Domo, Tableau, or Looker, or native reporting engines such as Zendesk Explore.
  • Ability to document standard operating procedures, lead technical training, and optimize operational support workflows.
  • Ability to collaborate across Engineering, Product, and Support teams.

Responsibilities

  • Design, build, and maintain custom applications, scripts, and webhook integrations across core support systems, including Zendesk, Jira, Salesforce Service Cloud, Domo, and StatusPage.
  • Architect and optimize API connections, custom middleware, and automated workflows for ticket routing, data synchronization, and escalations.
  • Build custom user-interface components, apps, and macros within support platforms to improve agent efficiency and desktop experience.
  • Determine methods and procedures for new or undefined assignments, considering company objectives as well as functional needs.
  • Lead the evaluation, development, and deployment of AI agents, large language model-powered assistants, and chatbots to automate tier-1 support interactions and assist internal agents.
  • Fine-tune AI agent prompt workflows, knowledge ingestion pipelines, and retrieval-augmented generation models to improve self-service resolution rates.
  • Monitor and continuously optimize AI agent performance, accuracy, and customer satisfaction metrics.
  • Administer, configure, and optimize support systems, maintaining service-level agreements, routing rules, triggers, and automated workflows.
  • Conduct regular quality, tagging, and compliance audits across systems to ensure high data integrity and adherence to support processes.
  • Assist Platform Operations and Support Leadership with outage communication tooling, incident escalation paths, and client updates.
  • Build and maintain complex analytics dashboards and data pipelines, including Zendesk Explore, Domo, and SQL, to track ticket volume, mean time to resolution, customer satisfaction, and backlog trends.
  • Partner with Product Analytics to build unified data reporting layers across disparate platforms.
  • Perform root-cause analysis on platform trends and negative customer satisfaction ratings to identify automation opportunities and systemic fixes.
  • Collaborate with Support Leadership to design and deliver technical onboarding and enablement programs for support staff.
  • Translate complex product handoffs from Product and Engineering teams into technical documentation, live training modules, and internal knowledge base resources.
  • Partner with Documentation and Training teams to create client-facing self-service e-learning and articles that reduce inbound ticket volume.
  • Continuously audit support workflows, identify operational bottlenecks, document procedures to improve them, and develop automated solutions to eliminate them.
  • Maintain key relationships outside the role's area of expertise to support unified process improvement.

Desired Qualifications

  • Hands-on experience developing or implementing AI agents, large language model APIs such as OpenAI or Anthropic, conversational AI frameworks, or agentic frameworks such as LangChain or AutoGen.
  • Experience with vector databases, prompt engineering, or managing knowledge bases optimized for AI search and retrieval-augmented generation architectures.
  • Familiarity with the ITIL framework, Agile methodology, or DevOps deployment practices.

About the Company

Recorded Future

Machine-readable threat intelligence with VAR partnerships

Recorded Future provides machine-readable threat intelligence that helps organizations reduce the risk of cyber attacks. Its data is converted into formats that can be directly plugged into customers' security tools, SOCs, incident response teams, and vulnerability programs. The company grows through a partner-led model with Value Added Resellers, offering sales and technical training, certifications, and marketing support to help partners sell and implement the technology, alongside direct sales with recurring revenue and favorable margins. Its goal is to help organizations detect, understand, and respond to threats more effectively by delivering actionable intelligence that fits into existing security workflows.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$58.7M
Headquarters
Somerville, MA
Founded
2009

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