Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

The base pay range for this position is $172,000–$238,000 Canadian Dollars annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.