Marketing Operations Analyst

Citylitics • Toronto, ON

3d • Hybrid

About The Position

Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America. Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines. Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together.

Requirements

• 1–3 years of experience in marketing operations, demand generation operations, data operations, campaign operations, revenue operations, sales operations, or a similar analytical/operational role.
• Experience running or supporting email campaigns, newsletters, nurture campaigns, or other marketing programs.
• Strong comfort working with spreadsheets, lists, data exports, filters, formulas, and data cleanup.
• Experience preparing or managing campaign lists, audience segments, contact data, or account data.
• Experience working with AI agents or AI tools for data collection, cleaning, normalization, enrichment, analysis, or QA.
• Strong attention to detail and ability to spot inconsistencies in data.
• Analytical mindset with a practical, execution-oriented approach.
• Strong organizational skills and ability to manage multiple campaign and data requests at once.
• Clear written and verbal communication skills.
• Ability to work effectively with Marketing and BDR teams.

Nice To Haves

• Experience with CRM systems, marketing automation platforms, or similar systems.
• Experience with HubSpot, Salesforce, Marketo, Pardot, Apollo, ZoomInfo, Clay, Clearbit, Outreach, Salesloft, or similar GTM tools.
• HubSpot experience or existing HubSpot certifications.
• Experience working with MCP protocol or related AI-agent integration frameworks.
• Experience supporting or configuring GTM AI agents for data collection, enrichment, workflow automation, campaign execution, or reporting.
• Experience supporting a demand generation to BDR handoff process.
• Experience in B2B SaaS, data, AI, infrastructure, public sector, construction, engineering, utilities, or industrial markets.
• Familiarity with account-based marketing, ICP segmentation, lead scoring, lead routing, lifecycle-stage management, or campaign attribution.
• Basic SQL, BI, or data visualization experience.
• Experience with data enrichment, deduplication, normalization, taxonomy management, or data governance.

Responsibilities

• Maintain and improve account and contact data quality across marketing and CRM systems.
• Identify and fix duplicate, incomplete, outdated, or incorrectly classified records.
• Support data enrichment efforts using internal sources, external sources, and AI agents.
• Use AI agents to support data collection, cleaning, normalization, enrichment, analysis, and QA.
• Build and maintain clear data standards for fields, segments, lists, and campaign audiences.
• Regularly audit data quality and surface issues that could impact campaign performance, reporting, or BDR follow-up.
• Help ensure marketing data is structured in a way that supports accurate targeting, personalization, reporting, and segmentation.
• Build account, contact, customer, prospect, and user segments for marketing campaigns.
• Support segmentation by industry, geography, company type, market, customer status, product usage, persona, buying role, engagement level, signal type, and other GTM criteria.
• Use Citylitics signals data to help identify relevant accounts, contacts, and audiences for targeted campaigns.
• Partner with Marketing and the BDR team to define campaign audiences and ensure lists are accurate, usable, and follow-up ready.
• Help create repeatable segmentation frameworks for priority markets, verticals, personas, newsletters, and campaign motions.
• Maintain campaign lists and ensure they are properly tagged, sourced, and tracked.
• Build, schedule, QA, and launch marketing email campaigns and newsletters.
• Prepare audiences, suppression lists, personalization fields, and campaign logic.
• Ensure campaigns are properly segmented, tested, tagged, and tracked.
• Monitor campaign performance, including deliverability, opens, clicks, engagement, unsubscribes, conversion signals, and follow-up outcomes.
• Report on email campaign and newsletter performance, including audience engagement, campaign trends, conversion indicators, and opportunities for improvement.
• Help improve newsletter and email campaign performance through cleaner data, better segmentation, and tighter audience targeting.
• Support ongoing campaign reporting and share practical insights with the Marketing team.
• Support the handoff between demand generation campaigns and the BDR team.
• Ensure leads, contacts, accounts, and campaign responders are properly enriched, segmented, scored, routed, and prioritized.
• Prepare follow-up lists for BDR outreach based on campaign engagement, ICP fit, account priority, and relevant market signals.
• Help define and maintain clear rules for campaign response handling, lead status updates, and BDR follow-up readiness.
• Identify gaps in lead/contact/account data that slow down or weaken BDR outreach.
• Support feedback loops between Marketing and BDRs to improve targeting, segmentation, messaging, and campaign quality.
• Work within HubSpot, CRM systems, marketing automation tools, enrichment tools, and analytics tools to maintain clean and usable data.
• Troubleshoot HubSpot questions, issues, and workflow concerns raised by GTM team employees, including Marketing and BDR users.
• Help document marketing data processes, campaign list-building workflows, newsletter workflows, AI-agent workflows, and segmentation logic.
• Identify opportunities to automate manual data preparation and campaign operations tasks.
• Support reporting on database health, campaign readiness, lead quality, segmentation coverage, email performance, and BDR follow-up readiness.
• Help create scalable processes so the marketing team can launch campaigns faster and with better targeting.
• Support AI-agent-enabled workflows for data collection, cleaning, normalization, enrichment, analysis, and QA.
• Help identify repetitive marketing operations and data workflows that can be improved through AI agents.
• Work with Marketing to define inputs, outputs, QA steps, and business rules for GTM AI-agent workflows.
• Help monitor AI-agent outputs for accuracy, completeness, usability, and consistency.
• Support documentation of AI-agent workflows, including prompts, process steps, exception handling, and quality checks.
• Help translate marketing and BDR workflow needs into clear operational requirements for AI-agent-enabled processes.
• Other duties as assigned

Benefits

• Make real-world impact: Influence positive change across one of the biggest societal challenges of our generation: building and maintaining sustainable public infrastructure.
• Sell a genuinely differentiated platform: You’ll represent a disruptive, data-driven solution with a compelling value proposition in a market that is eager to engage.
• Operate at the intersection of infrastructure, scale-up, and data science: We live where infrastructure meets AI and advanced data. There is no other team like ours in Toronto.
• Move fast, learn faster: There’s no corporate bureaucracy here. You’ll accomplish more in a few months than you would in years at a large, entrenched technology company.
• Be empowered by data and AI: We believe Data and AI will play an outsized role in the future of sales and decision-making. Every CityZen has access to generative AI tools and our full data universe to enhance productivity and encourage experimentation.
• Grow with intention: We invest deeply in our people through in-role coaching, skill-based development, an internal mentorship program, and clear internal promotion pathways.
• Win as a team: We work hard, we support one another, and we celebrate progress along the way. We’re serious about solving infrastructure and just as serious about enjoying the journey together.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed