Director, Solution Engineering

Salesforce Salesforce · Enterprise · New York, NY · Remote

Director of Solution Engineering for Financial Services, leading a senior team that supports strategic financial institutions. The role focuses on guiding customers through enterprise transformation involving data, integration, and AI, positioning Salesforce's Data Foundation as a strategic layer. Responsibilities include developing the SE organization, driving data foundation strategy, partnering with sales leadership, and establishing technical thought leadership in AI-ready data platforms and integration patterns.

What you'd actually do

  1. Lead a team of senior and principal Solution Engineers supporting the largest Financial Services customers.
  2. You will define what excellence looks like for Strategic/Enterprise Solution Engineers.
  3. You will ensure the team can clearly articulate how Salesforce’s Data Foundation enables this through: MuleSoft integration architecture, Informatica data management and governance, Data360 and analytics, AI and Agent-driven automation
  4. You will work closely with: AVP, RVPs, Strategic AEs, Client Architects, Platform SE teams, Salesforce Core teams, Informatica teams, Data360 teams
  5. This role is responsible for shaping Financial Services technical narratives that the field can leverage including novel approaches.

Skills

Required

  • Experience leading senior technical professionals
  • Expertise in enterprise architecture, data management, and integration
  • Deep understanding of financial services industry
  • Strong coaching and talent development skills
  • Executive presence and communication
  • Strategic deal orchestration

Nice to have

  • Experience with Salesforce Data Foundation (MuleSoft, Informatica, Data360)
  • Familiarity with AI and agent-driven automation concepts in enterprise settings

What the JD emphasized

  • You will not succeed here by directing activity.
  • Financial Services organizations cannot deploy AI without trusted, connected, and governed data.