Sr. Digital Marketing Manager
LocationCanada Remote
Work moderemote
Typefull-time
SenioritySenior
Experience5–7 yrs
DepartmentDigital Marketing
Company size1,001–5,000 people
PostedOct 6, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5–7+ years in digital marketing, demand generation, or growth at a B2B SaaS, fintech, or technology company, including direct ownership of a paid media budget and an organic search program
Hands-on command of paid search and paid social, including owning a meaningful budget, building a channel mix from scratch, and defending where every dollar went and what it returned
Thinks in SQLs, pipeline, CAC, and payback, not impressions and rankings
Active experimentation with citation strategies, structured content for model consumption, or measuring share of voice in answer engines
Understanding of site architecture, schema, crawl, and Core Web Vitals
Ability to distinguish content that earns trust from content that fills a page, with experience working alongside content teams operating at scale
Experience managing agencies and holding them to outcomes, not just deliverables
Comfort with the limits of attribution and the ability to design tests that produce a defensible read anyway
Makes consequential decisions with incomplete data and prefers building a function from scratch over running one that is already humming
Treats failure as a feedback loop, running experiments, cutting what does not work quickly, and doubling down on what does
Skills
paid search
paid social
SEO
AEO
GEO
schema
Core Web Vitals
Description:
SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that’s transforming the global retail supply chain!
Position Summary:
Buyers find and evaluate SPS Commerce across a growing set of surfaces: paid search and social, Google, AI answer engines, Reddit, G2, and YouTube. No single person owns visibility across all of them today. This role will.
The Senior Digital Marketing Manager owns the paid and organic channels that carry a buyer from first discovery to qualified lead, helping set the strategy, controlling the budget, deciding how we work with agencies, and carrying the number. This is a senior individual contributor role that leads through agencies and cross-functional teams rather than direct reports, reporting to the Director of Digital Marketing.
Key Responsibilities:
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Paid media: Lead paid media programs across paid search, paid social, display and retargeting, and emerging channels, owning the channel mix and CAC and delivering a measurable improvement in cost per qualified pipeline dollar.
•
Budget management: Manage the full budget cycle: forecasting, pacing, in-quarter reallocation, and the business case for increases, with a clear view of the marginal return of the next dollar in every channel.
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Experimentation: Run an always-on testing program across creative, audience, offer, bid strategy, and landing-page experience, with clear criteria for what gets cut and what gets scaled.
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Conversion optimization: Own the paid conversion path from ad to landing page to form, working with web and lifecycle teams to close the gaps that cost conversion.
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Agency & vendor management: Direct paid agencies and channel reps to outcomes rather than deliverables, and recommend what is worth bringing in-house.
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Measurement & reporting: Build the measurement layer, including attribution, incrementality testing, and channel-level reporting that connects spend to MQLs, pipeline, and CAC efficiency, and one integrated view of paid and organic performance.
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Organic growth: Lead the organic growth strategy, roadmap, and OKRs, growing qualified organic traffic and improving conversion from organic visitors to activated users and pipeline.
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AI visibility (AEO/GEO): Build the SPS AEO/GEO playbook, including citation strategy, content structured for model retrieval, and tracking of SPS share of voice in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.
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Technical SEO oversight: Set technical SEO priorities and hold the agency or specialist accountable for delivery, judging the quality of the work and what is worth engineering time.
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Community & review presence: Unify SPS presence across Reddit, G2, YouTube, and other community and review surfaces into one discoverability strategy.
Required Qualifications:
•
Experience: 5–7+ years in digital marketing, demand generation, or growth at a B2B SaaS, fintech, or technology company, including direct ownership of a paid media budget and an organic search program.
•
Paid media depth: Hands-on command of paid search and paid social, including owning a meaningful budget, building a channel mix from scratch, and defending where every dollar went and what it returned.
•
Pipeline and budget orientation: Thinks in SQLs, pipeline, CAC, and payback, not impressions and rankings. Able to build the business case for more spend and to recognize when to hand budget back.
•
AI visibility fluency: Active experimentation with citation strategies, structured content for model consumption, or measuring share of voice in answer engines. This cannot be trained on the job.
•
Technical SEO literacy: Understanding of site architecture, schema, crawl, and Core Web Vitals sufficient to set priorities, brief a specialist or agency, and tell strong work from weak. Hands-on technical expertise is not required.
•
Content instincts: Ability to distinguish content that earns trust from content that fills a page, with experience working alongside content teams operating at scale.
•
Vendor management: Experience managing agencies and holding them to outcomes, not just deliverables, and judgment on when to stop outsourcing and bring work in-house.
•
Measurement rigor: Comfort with the limits of attribution and the ability to design tests that produce a defensible read anyway.
•
Comfort with ambiguity: Makes consequential decisions with incomplete data and prefers building a function from scratch over running one that is already humming.
•
Experimentation mindset: Treats failure as a feedback loop, running experiments, cutting what does not work quickly, and doubling down on what does.