Director Customer Success Engineering (AI)

TL;DR

Director Customer Success Engineering (AI): Building and scaling a Customer Success Engineering team focused on customer adoption and growth with hirify.global’s streaming data platform, with an accent on developing scalable processes, reusable assets, and technical enablement programs. Focus on leading and coaching Solutions Architects through complex customer engagements and driving operational excellence in a high-growth SaaS environment.

Location: Hybrid in Austin, TX

Salary: $250,000 USD (U.S. base salary range)

Company

hirify.global is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems.

What you will do

• Lead and develop a team of Solutions Architects and Scale Solutions Architects.
• Create career frameworks and growth paths that attract and retain top technical talent.
• Coach your team through complex customer engagements and build leverage-creating processes.
• Partner with Customer Success Management and Sales to align on account strategy, coverage models, and opportunity pipeline.
• Drive operational excellence through metrics, forecasting, and resource allocation across customer segments.
• Champion the shift from one-off problem solving to creating reusable content and self-service resources.

Requirements

• 10+ years in customer-facing technical roles such as Solutions Architecture, Forward Deployed Engineering, Professional Services, or Customer Success Engineering.
• 3+ years leading and developing technical teams, ideally in high-growth B2B SaaS or infrastructure software.
• Solid background in distributed systems (e.g., Kafka, streaming platforms, databases, Spark, Hadoop).
• Understanding of modern cloud architectures (AWS, GCP, Azure) and deployment patterns.
• Ability to have credible technical conversations with senior customer architects and engineers.
• Customer-first mindset with ability to balance customer advocacy with business priorities.

Nice to have

• Experience with open-source business models and community-led growth.
• Background in streaming data platforms, real-time analytics, event-driven or big data / distributed architectures.
• Prior experience in customer success operations or go-to-market analytics.
• Experience building or evolving professional services organizations.

Culture & Benefits

• Be part of a fast-moving, 100% remote organization with team members around the globe.
• Work within a culture based on trust, transparency, communication, and kindness.
• Opportunity to work in a startup environment with venture capital backing.
• Collaborate closely with pre-sales, product, engineering, and customer success management teams.
• Focus on team development, process excellence, and operational leverage.
• Emphasis on creating reusable assets and self-service resources to scale impact.