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3 дня назад

Senior Forward Deployed Engineer (AI)

180 000 - 240 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Forward Deployed Engineer (AI): Embedding SecurityScorecard into strategic customers’ security, risk, and compliance workflows with an accent on AI-native solutions, data science, and multi-cloud integrations. Focus on deploying customer-specific production software, translating security ratings into financial risk models, and connecting SIEM, GRC, ticketing, and data warehouse systems.

Location: Remote within the United States; requires deployment and travel to customer sites, typically 20–40%.

Total compensation: $180,000–$240,000 annually, including base salary and bonus, plus potential equity and performance-based incentives.

Company

hirify.global is a cybersecurity ratings and SaaS company that helps organizations identify and manage risks across their digital footprint.

What you will do

  • Deploy with strategic customers to map security, risk, and compliance workflows and identify opportunities to reduce manual effort.
  • Gather requirements from practitioners and executives, then design solutions around existing customer data, processes, and decision logic.
  • Build AI-native solutions using LLMs, ML models, and modern AI tooling to automate analysis and quantify cyber risk.
  • Design and deploy integrations, pipelines, and tools connecting hirify.global with SIEM, GRC, ticketing, and data warehouse systems.
  • Architect and deploy solutions across AWS, Azure, and GCP, rapidly prototype them, and harden successful solutions into production-quality software.
  • Own technical relationships with key accounts and connect customer feedback with Product, Engineering, Customer Success, and Sales Engineering.

Requirements

  • 8+ years of software engineering experience, including significant customer-facing, forward-deployed, or solutions engineering work.
  • Hands-on experience building shipped solutions with AI, LLMs, agentic frameworks, or ML models.
  • Data analysis and data science experience, including risk quantification, benchmarking, or exposure modeling.
  • Strong full-stack skills covering backend services, APIs, scripting, data pipelines, REST, webhooks, SSO/SAML, and SIEM connectors.
  • Architecture experience across AWS, Azure, and GCP, with the ability to design for existing customer cloud environments.
  • Excellent communication skills, enterprise discovery experience, independent delivery ability, and willingness to travel to customer sites 20–40%.

Nice to have

  • Prior experience in cybersecurity, GRC, or risk management.

Culture & Benefits

  • Remote work within the United States with customer-site travel as required.
  • Country-specific health benefits and unlimited paid time off.
  • Stock options, equity opportunities, and annual performance-based incentive compensation.
  • Parental leave and tuition reimbursement.
  • No immigration sponsorship is provided for this position.

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