Customer Success Manager (SaaS)

TL;DR

Customer Success Manager (SaaS): Driving customer adoption and measurable outcomes for engineering teams using hirify.global's AI development platform with an accent on onboarding, health monitoring, and expansion. Focus on building strong relationships with technical stakeholders, managing renewals, and aligning platform capabilities with customer goals.

Location: Must be based in Australia

Compensation: A$117,000 – A$159,000

Company

hirify.global is an AI software development company building secure, self-hosted AI development environments to empower teams to build software faster and at scale.

What you will do

• Own onboarding and rollout plans for new customers to ensure successful platform implementation.
• Remove barriers to adoption and provide tailored guidance to help customers achieve their goals.
• Identify expansion opportunities and partner with Sales on upsell and cross-sell motions.
• Oversee renewals and forecasting to ensure successful commitments.
• Serve as the primary point of contact for inquiries, issues, and escalations.
• Monitor and report on customer health and usage metrics.

Requirements

• 3+ years of experience in software/SaaS sales or customer success.
• Working knowledge of cloud infrastructure, DevOps, developer tools, and the SDLC.
• Hands-on experience with Salesforce and industry-standard CS platforms.
• Proven history of building relationships across executive, business, and technical stakeholders.
• Startup experience.
• Strong verbal communication and technical writing skills.

Nice to have

• Experience focused on developer tools.
• Renewal management experience.
• Experience with Totango, Gainsight, or Pylon.
• Familiarity with AI tools like ChatGPT, Claude, or Cursor.

Culture & Benefits

• Transparent and consistent interview process.
• Equity and bonus opportunities included in compensation.
• Commitment to equal employment opportunity and inclusive hiring.
• Supportive environment for AI-driven development workflows.

Hiring process

• Interview process typically spans two to four weeks.
• Meetings with a mix of individual contributors, managers, and senior leaders.
• Take-home assessments permitted with AI tool usage allowed if disclosed.