Senior Engineering Manager, Platform (AI/SaaS)

Location: San Francisco, CA or remote anywhere in the United States; Bay Area-based employees work in a hybrid setting. Twice-yearly in-person offsites take place across the U.S.

Salary: $250,000–$270,000 annually for Tier 1, plus equity.

Company

hirify.global builds software that automates assurance and audit work in cybersecurity, privacy, and financial audits for accounting and consulting firms.

What you will do

• Lead, hire, onboard, coach, and develop a high-performing platform engineering team of ten engineers, including Senior and Staff individual contributors.
• Set the platform vision and roadmap across core services, shared primitives, internal developer tooling, and agentic engineering capabilities.
• Own architecture strategy for SaaS, enterprise single-tenant, and government-cloud environments, partnering with Staff engineers and technical leads.
• Partner with product, design, AI, and infrastructure leaders to prioritize platform investments and make build-versus-product-team-versus-buy decisions.
• Drive cross-team initiatives for product velocity, reliability, consistency, service design, data modeling, and platform integration adoption.
• Own operational health, including reliability targets, incident response, on-call, delivery predictability, success metrics, and executive communication.

Requirements

• 10+ years of software engineering experience, including 3+ years managing engineers, ideally managers or multiple teams.
• Significant experience building product-facing platforms or foundational application services, with technical depth to review designs and challenge tradeoffs.
• Experience hiring, developing, retaining, coaching, and performance-managing strong engineers.
• Strong product judgment and a track record of shipping platform capabilities that produced meaningful customer outcomes.
• Experience setting technical strategy and roadmaps across multiple teams and aligning product, design, and executive stakeholders.
• Fluency with modern cloud platforms, AWS preferred, Kubernetes, and distributed systems.
• Excellent judgment about what belongs in the platform, with product teams, or should be purchased.
• Excellent written and verbal communication.

Nice to have

• Experience leading platforms for AI-native products, including agent frameworks, model orchestration, or LLM-powered application surfaces.
• Experience supporting both multi-tenant SaaS and single-tenant enterprise deployments.
• Experience as a founding or early platform leader at a vertical SaaS or enterprise AI company.

Culture & Benefits

• Competitive compensation with equity, comprehensive health and wellness benefits, and wellness benefits from the first day.
• Flexible time off and work schedules.
• Technology reimbursements and a 401(k) plan.
• Twice-yearly in-person offsites across the U.S.
• Company values include fearless execution, speed with excellence, customer delight, ownership, mutual trust, and inclusive teams.