Manager II, Technical Support Engineer

As a Manager II, Technical Support Engineer at Pinterest, you'll lead a regional team of Partner/Support Engineers serving advertisers and Martech/Business partners across segments.

You'll own your region's partner and advertiser relationships, goals, and metrics, lead key programs within the team, and grow the technical and professional capabilities of your engineers.

Responsibilities:

• Team leadership: Lead, coach, and develop a regional team of Partner/Support Engineers
• People development: Manage performance, deliver real-time developmental feedback, and grow careers
• Partner & advertiser ownership: Own advertiser and partner relationships, goals, and metrics for your region
• Segment expansion: Help scale PinTech support coverage into new customer segments and new products
• Program leadership: Lead key programs within the team
• Escalation management: Act as the escalation point for the team
• XFN collaboration: Partner with Product, Engineering, Sales, and Partnerships
• Metrics & continuous improvement: Establish and monitor team and partner metrics
• Roadmap influence: Relay insights and feedback from priority clients to Product and Engineering
• Technical guidance: Stay hands-on enough to guide the team on API integrations, debugging, and data investigations
• AI-driven scale: Champion and lead AI-driven solutions and automations across the team
• Communication: Communicate clearly and concisely to all levels of leadership

Requirements:

• 2+ years of people/team management experience leading client-focused technical teams
• Background in Ad Tech, MarTech, or eCommerce
• Strong individual technical skills: reading and writing complex scripts for data manipulation and API integrations
• Demonstrated care for both team health/metrics and advertiser/partner outcomes and shared goals
• Ability to manage ambiguity, make timely high-quality decisions, and manage stakeholder relationships
• Excellent written and verbal communication and client-facing/executive presence
• Ability to leverage AI to enhance work quality and decisions, and champion AI experimentation within the team