Skip to content
mimi

Paid Ads Acquisition Manager & Data Engineer

Tameson

Remote · Canada Full-time Lead 1w ago

About the role

Lead our paid acquisition engine by turning complex data into scalable, profitable multi-channel results.

Join Tameson as we set the standard for how SMEs source industrial components online. We are looking for a Paid Ads Acquisition Manager & Data Engineer to drive our growth by efficiently allocating capital across all paid channels and leveraging data engineering to measure impact. You will balance immediate customer acquisition with long‑term brand positioning, ensuring every marketing dollar contributes to scalable revenue and market visibility.

You are responsible for the end‑to‑end architecture of our paid media efforts, from the data pipelines that power them to the strategic decisions that optimize them. This is not a traditional media buying role. You will act as the technical architect of our growth engine. You will manage a diverse portfolio of channels, including granular search campaigns for high‑intent B2B buyers and global marketplaces, ensuring our growth is both scientific and scalable.

About the Role

At Tameson, we simplify industrial supply for SMEs. We are a global e‑commerce store that turns technical expertise into a frictionless self‑service experience. You will be the engine behind that discovery. You are accountable for the growth of highly qualified traffic through data‑driven paid acquisition strategies that maximize POAS while enhancing brand recognition. You will identify where the market is moving, build the infrastructure to track it, and execute the experiments that prove we are winning. You will manage a diverse portfolio of channels to acquire high‑value B2B customers efficiently.

Key Outcomes & Responsibilities

  • End to End Capital Allocation: Own the budget across Search, Social, Display, Marketplaces, and LLM discovery channels based on performance and strategic goals.
  • Advanced Data Engineering & Pipeline Mastery: Build and maintain the technical infrastructure required for accurate tracking, including server‑side pipelines and SQL‑based data transformations.
  • Strategic Growth Analysis: Analyze complex datasets to identify growth opportunities and translate those insights into concrete business plans and budget reallocations.
  • Outcome Driven Strategy: Find opportunities to scale or cut spend to maximize POAS without waiting for a task list.
  • Scientific Experimentation: Design and measure robust A/B and CRO tests to validate channels and strategies, ensuring statistical significance.
  • Automated Transparency: Build and own the reporting layer in BigQuery and Looker Studio to provide automated transparency into CAC, POAS, and LTV.
  • Strategic Targeting: Deploy advanced bidding and geotargeting to focus spend on high‑value industrial hubs.

What We Are Looking For

  • The Data Engineer's Mindset: Skilled in SQL and Python, managing data pipelines, automating workflows, and building dashboards.
  • Paid Media Expertise: Deep understanding of paid acquisition across multiple channels and ability to balance direct response with branding.
  • AI Native Efficiency: Enthusiasm for using AI and LLMs to improve productivity and enable new internal workflows.
  • Outcome Owner: Driven by results like revenue and profit rather than simple output.
  • Technical Judgment: Understand that a “solenoid valve” is high volume, but a “coaxial valve” is a high‑value niche, and bid accordingly.
  • Collaborative Investigator: Work cross‑functionally with Product and Operations teams to provide data insights and measurement frameworks.

Why Choose Tameson?

  • Direct Business Impact: Your work directly correlates to sales and bottom‑line profitability. You will build the analytics dashboards that allow you to point to a chart and say, “This ad drove that revenue growth.”
  • Innovation: We are an aggressive, modern company that values technical experimentation. Test new channels, automate complex workflows, and deploy the latest data engineering tools to keep us ahead.
  • Company Culture: We value collaboration, professional growth, and fun. We regularly have company activities (online and offline) to stay connected and inspired.
  • Growth: We are scaling rapidly. As we expand, your professional opportunities grow.

Role Work Conditions

  • Employment type: Full‑time position (remote).
  • Working hours: Flexible work hours, with availability required Monday through Friday and a minimum overlap of 12:00 – 17:00 GMT+1.
  • Contract type: Independent contractor. To simplify hiring outside our registered countries, we engage global talent through freelance contracts.

Ready to define the future of industrial e‑commerce?

Ready to turn data into our biggest competitive advantage? Apply today.

Requirements

  • Skilled in SQL and Python, managing data pipelines, automating workflows, and building dashboards.
  • Deep understanding of paid acquisition across multiple channels and know how to balance direct response with branding.
  • Enthusiasm for using AI and LLMs to improve productivity and enable new internal workflows.
  • Driven by results like revenue and profit rather than simple output.
  • Understand that a "solenoid valve" is high volume, but a "coaxial valve" is a high value niche, and you bid accordingly.
  • Work cross functionally with Product and Operations teams to provide data insights and measurement frameworks.

Responsibilities

  • Own the budget across Search, Social, Display, Marketplaces, and LLM discovery channels based on performance and strategic goals.
  • Build and maintain the technical infrastructure required for accurate tracking, including server side pipelines and SQL based data transformations.
  • Analyze complex datasets to identify growth opportunities and translate those insights into concrete business plans and budget reallocations.
  • Find the opportunities to scale or cut spend to maximize POAS.
  • Design and measure robust A/B and CRO tests to validate channels and strategies, ensuring statistical significance.
  • Build and own the reporting layer in BigQuery and Looker Studio to provide automated transparency into CAC, POAS, and LTV.
  • Deploy advanced bidding and geotargeting to focus spend on high value industrial hubs.

Skills

BigQueryLooker StudioLLMPythonSQL

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free