About this role
Managing the day-to-day operations of the Technical Success team involves coaching engineers through architecture decisions, engaging in high-stakes customer scenarios, and partnering with internal teams like Sales, Solutions Engineering, Product, and Research. The team helps enterprise customers realize value from technology by guiding them from initial exploration and solution design to production implementation and organization-wide adoption.
Accountable for a strategically important customer portfolio, the manager builds, leads, and develops a high-performing team of Applied AI Engineers. This includes defining coverage models, reusable implementation patterns, technical enablement, and escalation mechanisms. Someone who succeeds here brings technical depth, people leadership, customer judgment, and operational rigor to navigate complex technical and organizational constraints.
What you will do
- Build, manage, and develop a high-performing team of Applied AI Engineers supporting large enterprise customers.
- Coach the team through decisions involving architecture, model selection, evaluations, reliability, and security.
- Serve as a senior technical escalation point during critical launches, production incidents, and complex integrations.
- Partner with customer executives and technical leaders to connect implementation decisions to measurable business outcomes.
- Translate customer needs and implementation challenges into actionable feedback for Product, Research, and Engineering teams.
- Develop reusable architectures, evaluation methods, playbooks, tooling, and enablement to improve time to value.
- Establish mechanisms for measuring production implementations, adoption, delivery quality, and team capacity.
What you need
- Significant experience managing customer-facing technical teams such as Applied AI Engineers, Solutions Architects, or Technical Account Managers.
- Background building or leading teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments.
- Sufficient technical depth to evaluate architectures, challenge assumptions, and coach engineers through implementation decisions.
- Experience taking AI, machine learning, or other technically complex systems from prototype to production.
- Understanding of production-system requirements including reliability, observability, security, privacy, data governance, and operational readiness.
- Strong executive presence with the ability to build trust with engineering leaders, business executives, and security teams.
Benefits
- Relocation assistance to new employees
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
The role is open in the Singapore office and uses a hybrid work model of 3 days in the office per week.
Is relocation assistance provided?
Yes, relocation assistance is offered to new employees.
What teams will this manager collaborate with?
The manager collaborates directly with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal.