Manager, Global Support Engineering

AI-native support leadership that turns customer signals into revenue.

AI-Native Support Operations  |  Agent Development & MCP Integration  |  Snowflake & Data Analytics

Promoted to lead SecurityScorecard's customer support function as an AI-native operation — building agents, integrating MCP servers, and automating case workflows. 13+ years across SecurityScorecard, Tableau (Salesforce), and TALK.

93%

Customer satisfaction across enterprise accounts

13+

Engineers led across EMEA, USCA, APAC

$10M+

ARR onboarded across Fortune 500 renewals

50%

Faster time-to-first-response via AI triage

About

AI-native support leadership that thinks in patterns, not tickets.

Promoted through successive leadership roles to Manager, Global Support Engineering — building AI agents, integrating MCP servers, and automating case workflows. I build the tools my team needs, get on calls with customers, and treat every support interaction as a signal to prevent the next escalation.

AI-Native Support Operations

Building support models that use AI to triage, resolve, and route cases faster — while preserving human judgment for high-value issues. I've built Gemini agents, custom MCP servers, and autonomous triage systems that process 50+ cases daily, powered by Snowflake for case data analysis.

Customer-Obsessed Leadership

Hire, coach, and develop support professionals who listen well and advocate hard for the customer. I get on calls with customers regularly, lead high-value conversations, and translate what I hear into systemic improvements.

Agent Development & MCP Integration

Deep technical roots — Python, FastAPI, FastMCP, Docker, Claude Code. I don't just use AI tools; I build them. From Gemini-powered agent helpers to autonomous triage engines, I engineer the backends my team relies on.

Featured Impact

The story behind the metrics.

Autonomous AI Agent Development

SecurityScorecard

40% less repetitive work · 50+ cases triaged daily · 50% faster first response · 25% case deflection

Built two production AI agents that transformed how the support team handles volume. The Gemini-powered agent helper assists engineers with task execution via a custom MCP server. The autonomous triage agent pulls cases from the queue, gathers context, performs low-risk remediation, retrieves SOPs and KB articles, drafts first responses, and scans for incident patterns — alerting management on high-risk cases.

How I did it

Situation: Support engineers were overwhelmed by repetitive tasks and high case volume. Time-to-first-response was degrading CSAT, and routine cases clogged the queue.

Action:

  • Designed and built a Gemini-powered agent helper with a custom MCP server exposing internal API tool calls
  • Developed an autonomous triage agent that fetches cases, gathers issue context, performs low-risk remediation, and retrieves relevant SOPs/KB articles
  • Engineered agent backends in Python with FastAPI and FastMCP, iteratively developed using Claude Code
  • Containerized agents via Docker for streamlined deployment and scaling
  • Leveraged Snowflake to query and analyse case data at scale, powering incident pattern detection and data-driven escalation decisions
  • Implemented sentiment analysis and incident pattern detection to alert management on 15+ high-risk cases monthly

Result: Reduced repetitive task execution time by 40% across a 13-engineer team, cut time-to-first-response by 50%, deflected 25% of routine cases from engineer queues, and processed 50+ cases daily autonomously.

Scaling Global Support & Automation

SecurityScorecard

83% faster response time · 50% productivity gain

High ticket response times were degrading across global regions. I restructured the escalation hierarchy, implemented automated routing logic, and cross-trained technical leads across regions to eliminate single points of failure.

How I did it

Situation: Global support team was bottlenecked on response times. Enterprise SLAs were at risk.

Action:

  • Restructured tier-1/tier-2 escalation paths with clear ownership matrices
  • Built automated ticket routing using Python scripts and webhook integrations
  • Cross-trained technical leads across NA, EMEA, and APAC for 24/7 coverage
  • Implemented Tableau dashboards for real-time SLA monitoring

Result: Cut mean response time by 83%, improved team productivity by 50%, and maintained 93%+ CSAT across all regions.

Enterprise Account Retention & Tech Strategy

Tableau / Salesforce

$10M+ ARR onboarded · $2M renewal safeguarded

Managed a portfolio of Fortune 500 accounts where renewal risk was high due to complex technical dependencies and misaligned stakeholder expectations. I led cross-functional alignment between Engineering, Product, and Sales to create a unified customer-success strategy.

How I did it

Situation: Key enterprise accounts were at risk of churn due to technical debt and poor cross-team coordination.

Action:

  • Established quarterly business reviews with C-suite stakeholders at top accounts
  • Coordinated Engineering and Product teams to prioritize enterprise-critical fixes
  • Built a renewal-risk scoring model using Snowflake data to flag at-risk accounts proactively
  • Led a critical downtime incident response, keeping the client aligned and preserving the relationship

Result: Safeguarded a $2M renewal that was on the table, onboarded $10M+ in new ARR through existing account expansion, and improved NPS by 15 points among managed accounts.

Custom Tooling & Process Engineering

TALK Finance / Tableau

Internal tools that saved 15+ hours/week

I don't just manage operations — I build the tools that make operations work. At TALK and Tableau, I developed custom ticketing systems, sales forecasting applications, and automated troubleshooting scripts that eliminated manual work and gave my team real leverage.

How I did it

Situation: Teams were spending excessive time on manual ticket triage, repetitive troubleshooting, and spreadsheet-based forecasting.

Action:

  • Built a custom ticketing system with automated categorization and priority assignment
  • Developed a sales forecasting app using Python + Tableau for pipeline visibility
  • Created automated troubleshooting scripts (PowerShell/Python) for common infrastructure issues
  • Implemented PostgreSQL-backed reporting dashboards for real-time ops metrics

Result: Saved 15+ hours per week in manual work, reduced mean-time-to-resolution by 35%, and created reusable tooling that became the standard across the organization.

Technical & Tools

The tools I use to make operations work.

Scripting & Data

  • Python
  • FastAPI
  • SQL
  • Tableau
  • Snowflake
  • PowerShell
  • Power BI

AI & Agent Development

  • Gemini (agent dev, code/cowork)
  • Claude Code / Cowork
  • FastMCP
  • MCP Server Development
  • AI-Assisted Triage
  • Knowledge Retrieval/RAG
  • Case Deflection

Infrastructure & Ops

  • Docker
  • PostgreSQL
  • Okta
  • Nginx
  • Linux
  • REST APIs

Operations Platforms

  • Zendesk
  • Salesforce
  • Gainsight
  • Jira
  • ServiceNow
  • Confluence
  • Slack (webhooks)

Leadership & Impact

Where I've made the difference.

Leadership & Process

  • SLA Design
  • Cross-functional Alignment
  • Escalation Management
  • Team Scaling
  • Mentorship
  • Customer-Facing Leadership

Metrics & Analytics

  • CSAT
  • Time to Resolution
  • Time to Value
  • Escalation Rate
  • Customer Effort
  • AI Deflection Rate
  • First Contact Resolution
  • Agent Productivity (AI-Assisted)
  • Automation Coverage
  • AI Routing Accuracy

Experience

Where I've operated.

2021 — Present

Manager, Global Support Engineering

SecurityScorecard
Promoted to lead and evolve customer support as an AI-native operation. Built Gemini-powered agent helpers and autonomous triage agents (FastAPI, FastMCP, Docker) processing 50+ cases daily. Forecasted staffing and created scheduling models for 13-person global team across EMEA, USCA, APAC. Leveraged Snowflake for case data analysis and incident pattern detection. Reduced response time by 83%, improved CSAT to 93%, and cut time-to-first-response by 50%.
2019 — 2021

Technical Account Manager

Tableau (Salesforce)
Primary technical advisor for 8 enterprise clients. Deep troubleshooting across Tableau products (Python, SQL, PowerShell, Docker). Onboarded 15+ customers for $10M+ ARR with 90%+ renewal rate. 0 escalations, 0 hot accounts.
2015 — 2019

Principal Technical Support Engineer – Technical Lead

Tableau (Salesforce)
Led specialized support for Server products and enterprise customers. Developed internal troubleshooting tools, trained colleagues on performance tuning. Played pivotal role in a Fortune 500 downtime resolution, safeguarding a $2M renewal.
2012 — 2015

Change Manager

TALK Finance
Delivered change projects from initiation to implementation. Built custom ticketing, sales forecasting, and quality assessment systems. Managed IT helpdesk (L1–L3) for ~40 employees and ~20 servers.

Recommendations

What people say about working with me.

"
Martin's leadership during our critical downtime incident was instrumental in keeping the client aligned and the engineering team focused. He has a rare ability to translate technical complexity into actionable business decisions.

— VP of Engineering, Enterprise SaaS Company

"
Martin doesn't just manage operations — he builds the tools that make operations possible. His Python scripts and automated reporting saved our team countless hours and raised the bar for everything we do.

— Director of Customer Success, Enterprise SaaS Company

Get in Touch

Let's talk operations.

Whether you're looking for a senior operations leader, want to discuss a speaking opportunity, or just want to talk shop — I'm open to the conversation.