Search Engine Marketing Manager

Columbus
3740 Zane Trace Dr
Columbus, OH 43228, USA

Columbus
3740 Zane Trace Dr
Columbus, OH 43228, USA

POSITION SUMMARY
The Search Engine Marketing (SEM) Manager drives qualified pipeline, ecommerce revenue, and profitable growth through paid search and intent-based channels. This role owns strategy, execution, and optimization across platforms like Google Ads, Microsoft Advertising and Linked In focusing on capturing high-intent B2B demand and converting it into measurable outcomes across both lead generation and online sales.

Working across marketing, sales, and ecommerce, the SEM Manager builds full-funnel strategies aligned to complex B2B buying cycles—owning keywords, structure, bidding, ad copy, product feeds, and landing page alignment. This includes optimizing both lead-based conversions (RFQs, sign-ups) and transactional performance (AOV, conversion rate) to improve CPL, revenue, and ROAS.

Are you passionate about digital marketing, search strategy, and driving measurable growth? We’re looking for a talented Search Engine Marketing Manager to join our team and lead high-impact SEM initiatives.

Applicants must have a solid 5 years' experience working for a product-based business handling search engine marketing to be considered for this role.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Own end-to-end paid search and intent-based strategy across Google Ads, Microsoft Advertising, Linked In, and other paid channels to drive pipeline, ecommerce revenue, and profitable growth
• Build, launch, and optimize campaigns across search, shopping, Performance Max, and Linked In paid programs to capture high-intent B2B demand
• Manage keyword strategy, audience targeting, account structure, bidding, and budget allocation to maximize ROI and scale efficiently
• Develop and test ad copy, creatives, and messaging aligned to B2B personas (procurement, operations) and product value propositions
• Own product feed optimization (titles, attributes, taxonomy) to improve visibility and performance in shopping campaigns
• Partner with ecommerce and UX teams to optimize landing pages and onsite conversion (CRO), including checkout and product detail pages
• Drive both lead generation (RFQs, quote requests, account sign-ups) and transactional performance (conversion rate, AOV, revenue)
• Monitor and optimize to key KPIs including CPL, ROAS, CAC, pipeline contribution, and revenue
• Leverage audience targeting, remarketing, and account-based strategies to improve conversion rates across the funnel
• Analyze performance data and translate insights into actionable recommendations for marketing, merchandising, and sales
• Ensure accurate tracking and attribution across platforms (e.g., Google Analytics, CRM systems)
• Collaborate with sales and marketing teams to align SEM and Linked In strategies with campaigns, promotions, and ABM initiatives
• Test and scale new opportunities (e.g., new channels, bid strategies, audience segments) to unlock incremental growth
• Manage agency or vendor relationships as needed, ensuring performance accountability and continuous optimization
• Provide regular reporting and executive-ready insights on performance, trends, and growth opportunities

EDUCATION, QUALIFICATIONS, SKILLS & ABILITIES

• Bachelor’s degree in marketing, Business, Analytics, Computer Science, or related field required; advanced degree a plus
• 5–8+ years of hands‑on experience working in a product‑based business in paid search / performance marketing within B2B and ecommerce environments
• Proven success managing and scaling campaigns in Google Ads, Microsoft Advertising, and Linked In
• Experience driving both lead generation (RFQs, forms) and ecommerce outcomes (revenue, conversion rate, AOV)
• Strong experience integrating media performance with CRM platforms (e.g., Hub Spot, Salesforce) to measure pipeline and revenue impact
• Advanced expertise in SEM strategy, keyword architecture, bidding algorithms, and audience targeting across search and paid social
• Deep analytical skillset with ability to manipulate and analyze large datasets (Excel, SQL preferred; experience with BI tools)
• Strong understanding of attribution modeling, incrementality testing, and full-funnel performance…