Top Tech Jobs & Startup Jobs in London

Lead the Checkout product strategy and roadmap at Paddle, managing its performance and commercial outcomes while collaborating across teams and using data to drive decisions.

Manage Paddle's social media activity, draft copy for various channels, track media coverage, and support press office operations. Engage with internal teams to ensure consistent brand messaging.

The Tax Manager will oversee tax compliance, drive policies, manage projects, and monitor global tax developments, collaborating within a team.

Build and maintain trusted marketing data products and models in Omni and Snowflake using dbt and SQL. Ensure data quality, documentation, lineage, and masking. Partner with Marketing to enable reporting, attribution, funnel monitoring, and activation into operational tools. Provide training, mentorship, and stakeholder support to drive marketing measurement and decision-making.

Design and maintain marketing-focused data infrastructure and models in Snowflake and dbt. Build self-serve datasets in Omni, ensure data quality and metadata, enable activation into operational tools, support campaign attribution and funnel reporting, and train stakeholders.

The role involves contributing Go code, collaborating with teams, building features, improving system performance, and maintaining AWS infrastructure.

Lead Paddle's Revenue Operations to scale GTM execution: design operating model, manage GTM tech and data architecture, run Deal Desk, improve forecasting and pipeline disciplines, enable field teams, and deliver cross-functional GTM initiatives that drive revenue growth and operational efficiency.

The Partner Marketing & Community Lead will design and execute programs to activate partners, drive awareness and referrals for Paddle, while collaborating with marketing teams on co-created content and partner enablement.

The Head of Content will lead Paddle's content strategy, manage a team of writers, and ensure cohesive messaging across various formats while leveraging AI tools.

Lead end-to-end insights projects that turn cross-functional data into commercial recommendations. Use SQL and Snowflake to extract data, apply statistical methods and LLMs to analyze structured and unstructured data, model financial impacts with Finance, and present clear, actionable findings to senior leadership and the exec team.