Manager, Demand Generation

Teikametrics•Boston, MA

2d•$85,000 - $125,000•Remote

About The Position

Teikametrics is looking for a hands-on demand generation leader to own the full paid media and lifecycle marketing function. You'll manage the digital marketing budget and activity across LinkedIn, Google, retargeting, affiliate, and referral. You'll report to the VP of Marketing and work in close partnership with the Marketing Operations & Analytics Manager (GTM Ops team) to ensure every campaign is properly tracked, attributed, and optimized. You'll manage one direct report, a Lifecycle Marketing Specialist. This is the right role for someone who is genuinely energized by being in the data, testing hypotheses, and driving pipeline, and who uses AI as a core part of how they work, not an afterthought. At Teikametrics, strategy, execution, and AI-assisted thinking live in the same.

Requirements

5 to 7 years of B2B SaaS or ecommerce marketing experience with at least 3 years in a hands-on demand gen or performance marketing role.
Proven, hands-on experience running LinkedIn Ads and Google Ads campaigns, including building campaigns from scratch, diagnosing performance drops, and articulating bid decisions.
HubSpot power user with deep fluency in contact properties, workflows, lists, lead scoring, forms, campaign tracking, and reporting.
Strong understanding of attribution modeling and UTM governance.
Experience with website conversion and CRO, including running A/B tests, optimizing landing pages, and identifying funnel issues.
Comfortable with lifecycle and email marketing, including nurture strategy, segmentation logic, and the interplay between email and paid channels.
Analytical and data-driven decision-making skills.
Clear, proactive communication skills.
Active AI practitioner, using AI tools in day-to-day work to move faster and go deeper.

Nice To Haves

Experience with an affiliate or referral platform.
Experience with retargeting platforms and audience management at scale.
Familiarity with Salesforce and its integration with HubSpot in a B2B sales motion.
Background marketing to ecommerce brands, Amazon sellers, or digital retailers.
Experience with ABM tools or intent-based advertising platforms.

Responsibilities

Build, run, and optimize LinkedIn Ads campaigns including campaign architecture, audience targeting, bid strategy, format mix, creative rotation, and ongoing optimization.
Build, run, and optimize Google Ads campaigns including SEM campaign structure, keyword strategy and match types, negative list management, Quality Score optimization, bid strategy, and budget pacing.
Manage retargeting efforts including audience segmentation by funnel stage, creative sequencing, frequency management, burn lists, and overlap monitoring across LinkedIn and Google.
Manage affiliate and referral programs including partner recruitment, onboarding, commission structure, enablement, tracking integrity, and performance optimization.
Own all demand-gen-related HubSpot configuration including lead capture forms, campaign tracking, contact properties, lifecycle stage logic, and list segmentation.
Manage UTM governance across all paid channels to ensure clean, consistent attribution data.
Partner with the Marketing Ops & Analytics Manager on HubSpot / Salesforce integration, lead routing, and reporting infrastructure.
Own the conversion layer for paid traffic including landing pages, demo request flow, form optimization, and CTA strategy.
Run structured A/B tests on landing page copy, headlines, form length, and page layout.
Monitor conversion rates by channel and traffic source; identify and fix funnel drop-offs.
Set the strategic direction for lifecycle and nurture email including segment targeting, cadence, and goals.
Review email performance and direct optimization including subject lines, send timing, and sequence structure.
Partner closely with the Marketing Ops & Analytics Manager to build and maintain attribution infrastructure across all channels.
Deliver weekly and monthly performance updates to VP Marketing covering CPL, MQL volume, pipeline influence, and ROAS by channel.
Own budget pacing across all paid channels; flag variances and reallocation opportunities proactively.
Build campaign architecture including naming conventions, audience hierarchies, and budget allocation across channels.
Develop growth experiments by testing copy, creative, offers, CTAs, and landing page variants systematically.
Run a regular cadence with the sales team on lead quality, ICP fit, and conversion feedback.
Partner with GTM Ops on lead routing and handoff quality.
Directly manage the Lifecycle Marketing Specialist, including weekly 1:1s, campaign direction, performance feedback, and career development.
Utilize AI for rapid research of ICP segments, industry pain points, and competitive positioning before building campaigns.
Utilize AI to interpret performance data and surface patterns.
Utilize AI to build optimization frameworks, including structured checklists for campaign audits, bid review cadences, and QA processes.