Manager, Software Engineering (Growth Platform)

TL;DR

Manager, Software Engineering (Growth Platform): Building and leading the first engineering team for the Growth Platform with an accent on communications capabilities and product-led growth. Focus on creating scalable product capabilities for experimentation and integrating AI-driven approaches to scale quality and speed.

Location: Must be based in the United States (Remote or Hubs in San Francisco and New York)

Salary: $258,000 – $376,000 USD

Company

hirify.global is a collaborative platform that helps teams brainstorm, prototype, and translate designs into code in real time.

What you will do

• Hire and lead the initial Growth Platform team, establishing culture, operating rhythms, and engineering standards.
• Build product capabilities like personalized messaging and self-service publishing to enable seamless growth experiments.
• Integrate AI-driven approaches for brand consistency checks, visual quality validation, and copy generation.
• Provide hands-on technical leadership, guiding architecture decisions and build-vs-integrate choices.
• Partner with Marketing and Product teams to align cross-channel messaging and ensure a positive end-user experience.
• Define and evolve the platform vision and roadmap based on adoption, impact, and iterative learning.

Requirements

• 3+ years in engineering management with a strong track record of building and shipping application platforms.
• 7+ years of software engineering experience at the application or product tier.
• Proven ability to drive outsized impact through small, high-leverage changes at scale.
• Strategic insight to optimize impact for both long-term vision and short-term delivery.
• Ability to operate effectively in ambiguous environments and prioritize by impact.
• Experience working cross-functionally with marketing, product, design, and data teams.

Nice to have

• Experience at a product-led growth company during a period of multi-product expansion.
• Experience building platforms that enable non-engineering teams to run experiments or publish content independently.
• Background in personalization systems, recommendation engines, or ML-driven content selection.
• Experience integrating with customer data platforms or marketing automation systems.
• Familiarity with using AI for quality assurance, brand consistency, or content governance at scale.
• Experience with internationalization (i18n) and localization (l10n) infrastructure.

Culture & Benefits

• Competitive package including health, dental, vision, and retirement contributions.
• Generous PTO, company recharge days, and comprehensive parental leave.
• Learning and development stipend, work-from-home stipend, and cell phone reimbursement.
• Equity grants and annual bonus plan for eligible employees.
• A culture of "Grow as you go" that values curiosity and professional development.

Hiring process

• Video interviews (candidates are required to keep cameras on).
• In-person onboarding required upon hiring.