[Remote] SVP, Platform (Engineering & Product)

Note: The job is a remote job and is open to candidates in USA. Hyperproof is a leading company in the risk and compliance management space, and they are seeking a Senior Vice President (SVP) of Platform to oversee their Platform Product and Engineering organizations. This role involves providing executive leadership, defining technical roadmaps, and ensuring the integration of AI technologies to enhance their core B2B SaaS platform.

Responsibilities

• You'll provide unified executive leadership, mentorship, and technical direction to a globally distributed organization of platform architects, product managers, and software engineers
• You'll define and lead the technical roadmap for Hyperproof’s enterprise platform and AI engineering capabilities, ensuring absolute synchronization with overarching corporate strategy, security standards, and governance expectations
• You'll take direct business and financial accountability for platform-led growth, designing infrastructure strategies that directly drive and support ARR, NRR, and GRR expansion across our enterprise customer base
• You'll drive the unification and standardization of core, enterprise-grade platform capabilities—specifically centralizing and scaling Authentication, Roles/Permissions, Tasks, Workflows, and comprehensive system Logging
• You'll architect and oversee the strategic multi-cloud convergence of our Third-Party Risk Management (TPRM) application, successfully deploying it into new cloud environments
• You'll champion developer experience (DX) and productivity by building reusable components, application engineering patterns, and technical playbooks that enable rapid adoption
• You'll evaluate cloud services, frameworks, data architectures, and AI platform tools with a rigorous focus on developer self-service, reuse, interoperability, cost optimization, and enterprise scalability
• You'll establish repeatable technical patterns and platform standards for moving core data pipelines and advanced AI/GenAI capabilities safely from experimentation to production-grade implementation
• You'll instill a culture of relentless quality control, implementing robust testing frameworks, automated verification, and performance SLAs to ensure enterprise-grade stability and zero critical regression escapes
• You'll design and roll out a unified 6-month product-engineering platform roadmap that introduces secure-by-design architectural patterns, model orchestration layers, and reusable accelerators
• You'll deliver a highly predictable, metric-driven platform delivery pipeline by the end of the year, characterized by top-tier platform stability, high team accountability, and optimized engineering throughput

Skills

• 10+ years of experience leading software product and/or engineering organizations within a fast-growing B2B SaaS company, with at least 5+ years in an executive-level leadership role (SVP, VP, or equivalent)
• Proven track record of directly managing both Product Management and Software Engineering teams simultaneously, successfully synchronizing both disciplines into a single platform delivery organization
• 12+ years of progressive technology experience across software engineering, platform engineering, enterprise architecture, cloud infrastructure, or data platforms
• Demonstrated track record of delivering production-grade enterprise platforms, reusable engineering frameworks, integration patterns, or developer productivity solutions that raise engineering standards
• Strong technical depth in cloud-native platform design, APIs, microservices, and modern data architectures alongside foundational familiarity with emerging AI/GenAI engineering patterns (e.g., model orchestration, RAG, embeddings)
• Extensive experience managing multi-tiered organizations consisting of VPs, Directors, and Managers across distributed geographic locations
• Deep expertise establishing and leading through thorough platform performance and engineering metrics (e.g., DORA metrics, system availability, cloud spend efficiency, quality assurance KPIs)
• You must be currently authorized to work in the United States on a full-time basis
• Deep domain experience working in highly regulated environments (such as GRC, cybersecurity, or fintech) with strict privacy, risk, compliance, and operational readiness expectations
• Extensive experience scaling complex enterprise architectures on public cloud infrastructure, preferably AWS and/or MS Azure
• Demonstrated experience taking advanced AI/Agentic workflows, model context protocols, or complex multi-tenant data pipelines out of proof-of-concept stages and into secure, production-grade enterprise software
• B.S. or M.S. in Computer Science, Product Management, Engineering, Data Science, or a related technical discipline

Benefits

• Annual compensation reviews + equity
• Unlimited PTO: strongly encouraged to unplug and recharge
• Health: coverage for medical, dental, and vision - employee and dependents
• 401K, which vests immediately, complete with a 4% company match
• 12 weeks of Parental leave and 1 year free diapers and wipes with Honest
• Annual company in-person events and quarterly in-person connects
• $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed.
• $100 quarterlypaid wellness stipend
• Pet insurance discount
• Slack channel notifications turn off after 5 pm based on your time zone
• Two Hypercharge weeks of rest where we close company-wide (July & Dec)

Company Overview