Perk Offices

Perk is headquartered in London and has 3 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We are an In Real Life first company and have a hybrid work structure with the expectation that team members are in office at least 3 days a week.

Typical time on-site: 3 days a week

Global Office Locations

HQ
London

Global Headquarters - London

7-12 Noel Street, London, United Kingdom, W1F 8GC

Birmingham

Birmingham

Alpha Tower, Suffolk Street Queensway, Birmingham, United Kingdom, B1 1TT

Edinburgh

Edinburgh

3rd Floor, Nova House, 3 Ponton St, Edinburgh, United Kingdom, EH3 9QQ

Recently posted jobs

2 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Fintech • Greentech • Sales • Software • Travel • Hospitality
Lead Perk’s global inbound and outbound SDR organization outside North America, overseeing approximately 140 representatives and 20 managers. Own strategy, organizational design, hiring, performance management, career development, pipeline generation, reporting, tooling, and AI adoption. Partner with Marketing, RevOps, Talent Acquisition, regional Sales leadership, and revenue executives to optimize coverage, productivity, process, and talent development across multiple markets.
6 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Fintech • Greentech • Sales • Software • Travel • Hospitality
Own Perk’s go-to-market engineering strategy, architecture, tooling, roadmap, and commercial outcomes. Build production-grade Clay workflows, Salesforce automations, enrichment systems, orchestration logic, and agentic AI solutions using code and modern GTM technologies. Automate prospecting, selling, and account-management processes across global teams. Lead a senior international team, establish engineering standards, partner with revenue leadership, and quantify business impact through improved productivity and funnel performance.
10 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Fintech • Greentech • Sales • Software • Travel • Hospitality
Build and maintain dbt-based ELT pipelines and scalable data models in Snowflake or similar cloud warehouses. Ensure data quality through testing, monitoring, documentation, lineage, and CI/CD practices. Optimize SQL queries and warehouse performance, develop Looker visualizations, and collaborate with data engineers, analysts, and business users. Champion modern data-stack adoption, with preferred experience in Python, semantic layers, Airflow, and software engineering practices for data.