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SVP, Platform (Engineering & Product)

222 000 - 291 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
c_level
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
SVP, Platform (Engineering & Product) (B2B SaaS, AI, Cloud Infrastructure): Building and scaling secure foundational platform capabilities, data infrastructure, developer tooling, and AI engineering capabilities with an accent on enterprise scalability, data integrity, developer experience, and compliance. Focus on unifying product and engineering leadership, converging multi-cloud application architecture, and moving data pipelines and AI capabilities into reliable production systems.

Location: Fully remote, with candidates required to be currently authorized to work in the United States on a full-time basis. Travel is expected for executive off-sites, strategic sessions, hackathons, and company-wide events.

Salary: $222,000–$291,000 USD annual compensation for candidates in Washington, California, New York, and the USA.

Company

hirify.global provides a cloud-based governance, risk, and compliance platform that helps organizations manage risk and compliance workflows.

What you will do

  • Lead the Platform Product and Engineering organizations as a unified executive function reporting to the CEO.
  • Define the technical roadmap for the enterprise platform and AI engineering capabilities.
  • Centralize and scale authentication, roles and permissions, tasks, workflows, and system logging.
  • Oversee multi-cloud deployment of the Third-Party Risk Management application.
  • Build reusable platform components, engineering patterns, developer tools, and automated build systems.
  • Establish production-grade data pipelines, AI capabilities, testing frameworks, performance SLAs, and metric-driven delivery processes.

Requirements

  • 10+ years leading software product and/or engineering organizations in a fast-growing B2B SaaS company.
  • 5+ years in executive leadership at SVP, VP, or equivalent level, with experience managing Product Management and Software Engineering simultaneously.
  • 12+ years of progressive experience in software engineering, platform engineering, enterprise architecture, cloud infrastructure, or data platforms.
  • Technical depth in cloud-native platforms, APIs, microservices, modern data architectures, and AI/GenAI engineering patterns such as model orchestration, RAG, and embeddings.
  • Experience managing distributed organizations with VPs, Directors, and Managers, using platform, engineering, quality, availability, and cost-efficiency metrics.
  • Current authorization to work in the United States on a full-time basis is required.

Nice to have

  • Experience in regulated domains such as GRC, cybersecurity, or fintech.
  • Experience scaling enterprise architectures on AWS and/or Microsoft Azure.
  • Experience taking AI, agentic workflows, model context protocols, and multi-tenant data pipelines from proof of concept to secure production.
  • B.S. or M.S. in Computer Science, Product Management, Engineering, Data Science, or a related technical discipline.

Culture & Benefits

  • Fully remote work environment with company-wide and quarterly in-person events.
  • Annual compensation reviews and equity.
  • Unlimited paid time off and two company-wide rest weeks each year.
  • Medical, dental, and vision coverage for employees and dependents, plus 401(k) with immediate vesting and a 4% company match.
  • Parental leave, home office and wellness stipends, and additional employee discounts.
  • Work communication notifications turn off after 5 p.m. according to the employee’s time zone.

Hiring process

  • Recruiter screening followed by a strategic alignment interview with the CEO.
  • Stakeholder interviews covering architecture, infrastructure, metrics, platform product strategy, and leadership.
  • Final interview with members of the executive leadership team; the process involves approximately 5–6 hours of interview time.

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