Marketing Operations Manager

About Kindsight:

Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market. And as the giving sector evolves, so does Kindsight. As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale. With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising.

Position Summary:

Own and scale the systems, data, and automation that power our marketing engine. This role focuses on building a modern marketing operations function - HubSpot administration, lifecycle modeling, lead scoring, campaign automation, and attribution - paired with the GTM engineering layer that scales it: Clay, AI-augmented workflows, and automation. The goal is to reduce manual work, sharpen data quality across the marketing-to-revenue funnel, and give the marketing team a reliable, modern platform to run from.

You'll own marketing's operational layer end-to-end and partner with Marketing team on the surfaces that cross both teams (data standards, shared dashboards, ABM ops). This role is built for someone who wants to execute deeply and ship quickly - not to be the sole strategist for the function. We are modernizing meaningful parts of our GTM stack over the next 12 months, and the person in this role will have a strong say in what we build, what we replace, and how we automate it.

What You'll Own

Marketing systems

Administer HubSpot as the marketing automation platform of record - campaigns, workflows, lifecycle stages, integrations, and data sync health.

Own marketing-specific Salesforce objects and fields (campaigns, leads, UTMs), including campaign-influence tracking, hierarchy, and attribution tagging.

Maintain reliable data flow between HubSpot, Salesforce, enrichment tools, and downstream systems.

Partner with Marketing leadership and RevOps on evaluation, procurement, and renewal of marketing-owned martech.

Support ABM operations - list building, account scoring, and intent-data integration

GTM engineering and automation

Build AI-augmented workflows to scale marketing operations - using tools like Clay, custom LLM workflows, and lightweight automation - that replace manual work.

Prototype and ship internal tools (form enrichment logic, segmentation automation, ICP qualification, signal aggregation) using modern automation and "vibe-coding" tools.

Stay close to the modern GTM toolchain (Clay, AI orchestration platforms, MCP-based integrations) and bring proposals to the table; we are explicitly looking to layer this kind of capability into how we operate.

Lead lifecycle and scoring

Build and Own the lead lifecycle model - MQL definitions, lifecycle stages, scoring thresholds - in partnership with Marketing leadership.

Build and continuously tune lead scoring (behavioural + firmographic).

Audit lead flow regularly for leakage, miscategorization, and tracking gaps.

Campaign operations

Own the campaign intake process for the broader marketing team, developing efficiencies and a scalable process

Own form strategy, maintain landing page themes in collaboration with brand, maintain and improve attribution systems and conversion tracking

Build campaign automation in the MAP (approximately 20% of capacity; the bulk of campaign build/QA is owned by another marketer).

Ensure compliance across outbound communications (GDPR, CAN-SPAM, CASL).

Reporting and attribution

Build and maintain marketing dashboards - pipeline contribution, MQL volume, conversion rates - in partnership with RevOps.

Audit MQL SAL SQL conversion tracking; investigate funnel anomalies (e.g., volume up, conversion rate down) and partner on root-cause fixes.

Support quarterly business reviews and CMO-level reporting with clean sourcing and program-performance data.

Enablement

Become a trusted business partner for the marketing department

Document and train on marketing processes, workflows, and system configurations for a modern AI-forward marketing engine

What We're Looking For

3–6 years in Marketing Operations at a B2B SaaS company, with clear accountability for the surfaces above.

Demonstrated ability to ship a marketing-systems change end-to-end: diagnose, build, document, train, measure.

Hands-on HubSpot administration - you have built campaigns, workflows, lifecycle stages, and integrations end-to-end and can take a system from "broken" to "documented and reliable."

Strong Salesforce fluency - data structure, flows/process builder, campaign object, lead/contact lifecycle, marketing-relevant report and dashboard building.

Experience designing and operating lead scoring, MQL definitions, and marketing funnel reporting end-to-end.

Working experience with at least one modern GTM engineering tool - Clay, n8n, Zapier, or equivalent - for building data and enrichment workflows.

Comfortable using AI tooling (Claude, ChatGPT, GPT-based APIs, or similar) as part of your day-to-day workflow - both to accelerate your own work and to build AI-augmented internal processes.

Familiarity with attribution models, UTM governance, and the practical realities of multi-touch attribution.

Solid grasp of compliance basics (GDPR / CAN-SPAM / CASL) as it relates to outbound communications.

Strong written communication and the ability to explain a system clearly to a non-technical marketing audience.

Self-directed; comfortable operating in a fast-moving environment where some things are still being defined.

Compensation Range: $120,000-140,000 CAD OTE annually, based on experience, market benchmarks and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market.

This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.

We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.