Commercial Solutions Engineer
Job Description
Semrush is hiring a Commercial Solutions Engineer to shape how customers grow online with our leading SEO and digital marketing SaaS platform. You'll partner with sales to design and present technical solutions, run demos and proofs of concept, and translate complex marketing needs into scalable architectures and integrations. Working in a global, data-driven, and experimentation-oriented culture, you'll collaborate with product and engineering, influence roadmap, and create best-practice playbooks. This role offers high autonomy, rapid learning, and direct impact on millions of users' online visibility and growth.
Responsibilities
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Partner with sales to design and present Semrush-based solutions that address complex marketing and SEO challenges for commercial clients
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Lead technical product demos, proofs of concept, and workshops tailored to customer use cases and stacks
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Translate customer business requirements into scalable solution architectures and integration approaches
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Serve as the primary technical contact during pre-sales cycles, RFP responses, and technical evaluations
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Collaborate with product, engineering, and customer success to influence roadmap and ensure smooth handoffs
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Develop reusable solution templates, best-practice playbooks, and enablement materials for internal teams
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Analyze client data and KPIs to demonstrate ROI, build value cases, and support renewals and upsell opportunities
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Provide light implementation guidance, API usage support, and integration recommendations with client martech tools
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Gather and synthesize customer feedback to inform product improvements and new feature ideas
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Represent Semrush at webinars, events, and customer trainings as a technical and domain expert Required Skills
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Solution engineering / sales engineering
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SEO tools and methodologies
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Digital marketing and analytics (PPC, SEM, social)
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Saa
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S platforms and multi-tenant architectures
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REST APIs and web integrations
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Martech stack integration (CRM, analytics, ad platforms)
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Data analysis and ROI modeling
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Technical discovery and requirements gathering
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Technical demoing and presentations
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Pre-sales RFP and POC management
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