Paid Media Specialist

About Port

Port is the Agentic SDLC Platform. The way engineering teams build software is constantly evolving, and every new wave - such as AI agents operating across the SDLC- makes engineering more powerful, but also more complex and chaotic.

Port turns that chaos into control: one platform to build, govern, and operate the software development lifecycle, enabling every team to move as fast as technology allows.

Following our $100M Series C funding round, we are entering an exciting stage of significant growth and global expansion. As a product-led company, we believe the recipe for success is a world-class product that speaks for itself.

About the role

We're seeking a Paid Media Expert to own our paid search and Paid social strategy end-to-end. You'll build, launch, and optimize campaigns across multiple channels with full budget authority and direct access to leadership. This is a hands-on role where you drive real results in a fast-paced, growth-focused environment.

What you’ll do:

• Build and scale paid acquisition campaigns across Google Search, LinkedIn, Twitter/X, Reddit, and emerging channels with clear performance ownership

• Manage budgets, hit ROAS/CPA targets, and continuously optimize through A/B testing on audiences, creatives, and messaging

• Leverage AI tools and automation to enhance workflows, improve efficiency, and uncover optimization opportunities

• Conduct deep-dive analyses on campaign and funnel performance; build dashboards to track KPIs and present actionable insights

• Develop data-driven strategies targeting technical buyers in DevOps, infrastructure, and AI/ML spaces

• Collaborate cross-functionally with Demand Gen, product, analytics, and content teams to align paid acquisition with business goals

• 5+ years of hands-on paid search and/or performance marketing with proven track record of scaling budgets profitably

• B2B SaaS/Tech Background: Success running acquisition campaigns for technology companies; understanding of technical buyer personas

• Multi-Channel Expertise: Advanced hands-on experience with Google Ads and LinkedIn Ads; native networks (Taboola, Outbrain, MGID) and Reddit/Twitter/X a plus

• AI & Automation Fluency: High level of AI literacy; hands-on experience using automation and AI tools to optimize campaigns and analysis

• Integrations & Automation Knowledge: Experience with marketing automation, pixel/event tracking, UTM structure, web attribution, and data integration

• Data & Analytics Skills: Comfortable conducting analyses to identify trends and performance gaps