SVP, Platform (Engineering & Product)

About the role

We are hiring a Senior Vice President (SVP) of Platform to work with our Platform Product and Engineering organizations to build, scale, and secure the foundational capabilities of our core B2B SaaS platform. Reporting directly to the CEO, you will serve as the unified executive leader over both Product Management and Software Engineering disciplines for our platform ecosystem. Your role will ensure our underlying architecture, data infrastructure, and emerging AI technologies directly empower our applications team and accelerate long-term enterprise growth.

Who you are

You are a deeply technical, visionary executive who bridges the gap between complex platform infrastructure, enterprise-grade scalability, and practical business value. You see potential in the platform to scale massively to new scenarios, roles, geographies, and business models. You understand that extensibility today requires deeply integrating AI technology into the platform and its surrounding tooling to enable unprecedented execution speeds.

You are a data-driven, hands-on leader with a relentless focus on foundational software quality, developer experience (DX), data integrity, and strict operational metrics. In this role, you’ll eliminate traditional silos by directly managing both product and engineering teams, creating a singular, high-velocity infrastructure and platform machine. You deeply care about making both internal engineering teams and developer partners successful, championing platform design, modern frameworks, and robust developer tools to ensure Hyperproof scales smoothly.

You understand the importance of architecting data pipelines that integrate into modern systems for workflows ranging from AI ingestion to dashboarding and analytics. You also lead a world-class developer operations team delivering mission-critical developer tooling and build automation, architecting these systems for speed, quality, and compliance with our FedRAMP Moderate obligations.

You will partner closely with Applications, Security, Data, Architecture, Operations, and Risk Governance teams to ensure Hyperproof's infrastructure is secure, governed, observable, reliable, and cost-effective as we scale to meet modern enterprise demands.

Responsibilities

• Provide unified executive leadership, mentorship, and technical direction to a globally distributed organization of platform architects, product managers, and software engineers.
• Define and lead the technical roadmap for Hyperproof’s enterprise platform and AI engineering capabilities, ensuring synchronization with corporate strategy, security standards, and governance expectations.
• Take direct business and financial accountability for platform-led growth, designing infrastructure strategies that support ARR, NRR, and GRR expansion across our enterprise customer base.
• Drive the unification and standardization of core, enterprise-grade platform capabilities—specifically centralizing and scaling Authentication, Roles/Permissions, Tasks, Workflows, and comprehensive system Logging.
• Architect and oversee the strategic multi-cloud convergence of our Third-Party Risk Management (TPRM) application, deploying it into new cloud environments.
• Champion developer experience (DX) and productivity by building reusable components, application engineering patterns, and technical playbooks that enable rapid adoption.
• Evaluate cloud services, frameworks, data architectures, and AI platform tools with a focus on developer self-service, reuse, interoperability, cost optimization, and enterprise scalability.
• Establish repeatable technical patterns and platform standards for moving core data pipelines and advanced AI/GenAI capabilities safely from experimentation to production-grade implementation.
• 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.
• 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.
• 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.

Key Performance Indicators

• Platform Scalability & Efficiency: Improve infrastructure utilization, API performance, and data processing throughput while lowering cost-per-tenant as enterprise usage scales.
• Developer Experience & Internal Adoption: Maximize internal developer velocity and minimize onboarding friction by delivering reusable platform components, templates, and frameworks.
• Platform Predictability & Commitments: Achieve a 90% or higher predictability rate on quarterly platform roadmap commitments across infrastructure engineering and product management milestones.
• System Availability & Core SLAs: Meet or exceed a 99.9% uptime SLA and establish robust disaster recovery, predictive monitoring, and business continuity metrics for core cloud services.
• Platform Quality & Defect Leakage: Minimize post-release infrastructure bugs and maintain a zero-tolerance standard for critical regressions in production.
• Business Impact: Ensure timely and quality delivery of platform features that directly impact end users, aligning with GRR, efficiency, and other key business metrics.

Requirements

• Experience: 10+ years 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).
• Unified Leadership Background: Proven track record of directly managing both Product Management and Software Engineering teams simultaneously, synchronizing both disciplines into a single platform delivery organization.
• Technical Foundation: 12+ years of progressive technology experience across software engineering, platform engineering, enterprise architecture, cloud infrastructure, or data platforms.
• Developer Productivity Focus: Demonstrated track record of delivering production-grade enterprise platforms, reusable engineering frameworks, integration patterns, or developer productivity solutions that raise engineering standards.
• AI & Platform Fluency: 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).
• Scale & Operations: Extensive experience managing multi-tiered organizations consisting of VPs, Directors, and Managers across distributed geographic locations.
• Metric-Driven Management: Deep expertise establishing and leading through platform performance and engineering metrics (e.g., DORA metrics, system availability, cloud spend efficiency, quality assurance KPIs).
• Authorization: Must be currently authorized to work in the United States on a full-time basis.

Preferred Qualifications

• Industry Domain: Deep experience in highly regulated environments (e.g., GRC, cybersecurity, or fintech) with strict privacy, risk, compliance, and operational readiness expectations.
• Cloud Architecture Mastery: Extensive experience scaling complex enterprise architectures on public cloud infrastructure, preferably AWS and/or MS Azure.
• Advanced Technology Execution: Demonstrated experience taking advanced AI/Agentic workflows, model context protocols, or complex multi-tenant data pipelines from proof-of-concept to secure, production-grade enterprise software.
• Education: B.S. or M.S. in Computer Science, Product Management, Engineering, Data Science, or a related technical discipline.

Our Tech

Hyperproof's core cloud platform operates in a highly secure, distributed architecture. Our platform stack utilizes robust back-end microservices, modern cloud infrastructure, and secure, cloud-native relational, non-relational, and vector database services optimized for high-throughput data pipelines, deep compliance mapping, and secure enterprise AI integration.

Location

We are a fully remote company, prioritizing talent regardless of location.

Travel Expectations: Occasional travel for executive off-sites, strategic alignment sessions, engineering hackathons, and annual company-wide events.

Interview Process

• Initial Screening: Recruiter Consultation (30 mins)
• Hiring Manager Interview: Strategic Alignment Sync with our CEO (45 mins)
• Internal Stakeholder Interviews: Discussions regarding Architecture & Infrastructure Design, Metric Mastery, Platform Product Strategy, and Leadership sessions with key engineering, product, and executive stakeholders (approx. 3-4 hours total)
• Executive Final Interview: Sync with members of the Executive Leadership Team (60 mins)

The entire process is expected to take approximately 5-6 hours of interview time. Full compensation packages are based on candidate experience and certifications.

Pay

Washington, California, New York: $222,000 USD - $291,000 USD

United States (other locations): $222,000 USD - $291,000 USD

Benefits

• Annual compensation reviews + equity
• Unlimited PTO with strong encouragement to unplug and recharge
• Comprehensive health coverage for medical, dental, and vision for employees and dependents
• 401K with immediate vesting and a 4% company match
• 12 weeks of Parental leave and 1 year of 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, with additional requests reviewed as needed
• $100 quarterly paid wellness stipend
• Pet insurance discount
• Slack channel notifications turned off after 5 pm based on your time zone
• Two Hypercharge weeks of rest where the company closes (July & December)

Career Growth

Hyperproof supports internal transfers. If a linear career path isn’t what you’re looking for, you can work with your manager and our People team to explore lateral moves within the organization as you continue to grow with us.