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1 день назад

Solutions Architect - Presales (AI)

136 000 - 168 000$
Формат работы
hybrid
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

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TL;DR
Solutions Architect - Presales (AI) (Customer Data, Martech/Adtech): Designing and deploying scalable customer data architectures for enterprise clients with an accent on data integration, governance, analytics, and AI-powered personalization. Focus on building data pipelines and AI/ML use cases, solving complex integration challenges, and guiding clients through platform adoption and successful go-lives.

Location: Hybrid, working out of the New York, NY office under the Global Hybrid Working Policy; 10% travel required.

Salary: $136,000–$168,000 per year.

Company

hirify.global provides an agentic experience platform that uses AI agents and customer intelligence to support marketing execution, customer engagement, retention, and growth across web, mobile, and desktop.

What you will do

  • Lead technical discovery and architecture design sessions with enterprise customers, aligning solutions with business goals and data strategies.
  • Translate business and functional requirements into scalable architectures, integration flows, and implementation plans using hirify.global’s CDP, Data Workflows, Connectors, and APIs.
  • Configure and customize solutions, develop data pipelines, and advise on data ingestion, transformation, identity resolution, governance, security, scalability, compliance, and performance.
  • Architect and deploy AI/ML-driven use cases including segmentation, predictions, customer journey orchestration, and personalized marketing.
  • Act as the technical liaison for client architects, IT, business teams, Engagement Managers, Solutions Consultants, Data Engineers, and technology partners.
  • Troubleshoot integration and performance issues, guide junior technical staff, capture customer feedback, improve technical playbooks, and experiment with emerging AI and agent technologies.

Requirements

  • 5+ years of experience architecting and implementing large-scale data solutions, ideally in SaaS, martech/adtech, CDP, or enterprise cloud environments.
  • Proven experience designing and deploying complex data architectures, including integrations, ETL/ELT pipelines, APIs, and workflow automations.
  • Hands-on skills with SQL, Python, JavaScript, and popular cloud platforms including AWS, GCP, and Azure.
  • Deep understanding of customer data models, GDPR/CCPA privacy and compliance standards, and identity resolution methodologies.
  • Experience supporting enterprise use cases for segmentation, analytics, personalization, activation, and omnichannel orchestration.
  • Ability to communicate complex technical concepts to client engineers, business users, and executives.
  • Experience working with cross-functional teams involving engagement managers, engineers, QA, and client stakeholders.
  • Consultative mindset with proactive problem-solving, critical thinking, and partnership skills.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.

Culture & Benefits

  • Culture centered on honesty, reliability, openness, humility, initiative, ownership, diversity, equity, inclusion, and belonging.
  • Medical, dental, and vision plans, plus an Employee Assistance Program.
  • Company-paid life insurance equal to three times salary and short- and long-term disability coverage.
  • 401(k) retirement plan with a 4% company match and Restricted Stock Units.
  • Flexible Time Off and up to 26 weeks of paid parental leave, including a post-partum night nurse.
  • Global reproductive health and family-building support through Carrot.

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