About Outreach
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
About the Team
Customer Success at Outreach exists to drive measurable business outcomes by embedding Outreach into the core revenue workflows of our customers. We partner strategically across Sales, RevOps, Enablement, and Leadership teams to remove barriers to adoption, optimise performance, and support long-term retention and growth.
Our focus is not only customer satisfaction — it is operational impact. We align cross-functional stakeholders internally and externally to ensure Outreach drives real business results.
The Role
The Customer Success Engineer (CSE) is the technical heartbeat of the Customer Success motion.
This role partners closely with CSMs, Sales, Solutions Consultants, Professional Services, Product, and Engineering to ensure customers are architected for success — from CRM integrations and workflow automation to AI configuration and performance optimisation.
The CSE is responsible for proactively auditing, optimising, and evolving customers’ technical environments to maximise adoption, AI maturity, and business impact.
This is not a reactive support role. It is a strategic technical ownership role embedded within Customer Success.
Location: London (2 days per week in office)
Your Impact
Technical Architecture & Integration Ownership
Conduct proactive CRM sync audits and integration health reviews
Diagnose and optimise Salesforce or Microsoft Dynamics integrations
Identify data integrity issues impacting reporting, automation, or AI performance
Recommend scalable architectural improvements aligned to customer goals
Partner with Professional Services on complex implementations or redesigns
AI Configuration & Optimisation
Conduct AI configuration and utilisation audits across customer environments
Assess agent performance, credit usage, workflow automation maturity, and configuration alignment
Identify optimisation opportunities to increase efficiency and measurable outcomes
Partner with CSMs to align AI adoption to customer success plans
Provide structured guidance on best practices for agent governance and workflow automation
Revenue Workflow Performance
Analyse sequence performance, content effectiveness, and automation design
Identify technical blockers to adoption or workflow execution
Map Outreach configuration to customers’ unique revenue processes
Recommend improvements that increase adoption, productivity, and performance
Risk Detection & Preventative Engineering
Proactively identify technical leading indicators of churn risk
Partner with CSMs to mitigate risk through architectural improvements
Surface systemic issues across accounts to inform internal strategy
Develop scalable solutions and documentation to prevent repeat challenges
Cross-Functional Collaboration
Act as the technical bridge between Customer Success and Product/Engineering
Channel structured customer feedback into roadmap conversations
Support Sales and Solutions Consulting with technical credibility during renewals and expansions
Partner with Support on complex escalations requiring architectural insight
Elevate Technical Standards
Develop internal playbooks and audit frameworks
Share cross-account learnings to improve technical maturity across the region
Help establish EMEA best practices as the first CSE in-region
Contribute to improving documentation, enablement materials, and AI best practice guidelines
Our Vision of You
5+ years supporting or architecting SaaS platforms in enterprise environments
Strong working knowledge of Salesforce or Microsoft Dynamics integrations
Experience analysing and improving workflow automation or AI-enabled systems
Comfortable interpreting data to diagnose technical and operational issues
Able to translate business objectives into scalable technical solutions
Proactive, curious, and solutions-oriented
Strong communicator, able to explain complex technical concepts to non-technical stakeholders
Organised and disciplined in documentation and process design
Comfortable operating in ambiguity and building new regional standards
How EMEA CS Operates
We communicate openly, early, and often
We take ownership from start to finish
We are proactive
We build relationships at every level
We think strategically and act with purpose
We learn and adapt