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5 дней назад

Technical Product Manager (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Technical Product Manager (AI): Owning data ingestion, pipelines, integrations, and data quality for an AI-driven travel platform with an accent on scalable AI/ML infrastructure, real-time signals, and system reliability. Focus on leading cross-functional execution, monitoring model accuracy and latency, and designing responsible AI guardrails with human-in-the-loop review.

Location: Delhi, India — on-site

Company

hirify.global is building an AI-first travel platform that reduces paperwork and uncertainty in visa processing and travel decisions, having processed visas for more than 1 million travellers across 127 countries.

What you will do

  • Own data ingestion for the Signals pod, including pipelines, integrations, structured data, and real-time signal surfacing.
  • Lead automation and AI/ML infrastructure initiatives across data pipelines, model serving, evaluation, and monitoring.
  • Drive execution across Engineering, Product, AI, and Operations from problem definition through delivery and impact measurement.
  • Translate technical and business requirements into execution plans that account for AI constraints, dependencies, risks, and scalability.
  • Track and improve AI system performance using accuracy, latency, cost, and model-quality metrics.
  • Establish cross-functional alignment and responsible AI practices, including guardrails, monitoring, and human-in-the-loop review.

Requirements

  • 4–7 years of experience as a Technical Product Manager or Data Product Manager, ideally owning data pipelines or ingestion systems.
  • Experience with data architecture, APIs, ETL/ELT, schemas, and data-quality tooling.
  • Ability to prioritise across multiple data sources and stakeholders with a structured, detail-oriented approach.
  • Strong analytical skills and experience using pipeline and data-quality metrics to guide decisions.
  • Strong communication skills for aligning engineering, AI/ML, and product teams around data requirements.

Culture & Benefits

  • Full-time, on-site work with a small team, high ownership, and a fast-paced environment.
  • Competitive compensation and equity.
  • Health insurance for employees and families, including an annual preventive health check-up.
  • Paid time off and company holidays.
  • Relocation support, learning and development credits, high-spec equipment, and software.
  • Office meals and recreational facilities, including sports, gaming areas, and flight and F1 simulators.

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