Engineering Manager | Payments, Abuse, and Conversion

DeepL
London
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["People leadership","Mentorship","Stakeholder management","Execution","Data fluency"]

Lead the PAC (Payments, Abuse & Conversion) team within DeepL’s Monetisation organization, owning end-to-end delivery of a self-serve customer journey from activation to paid conversion. Guide architectural decisions across payments and a multi-layer fraud stack, balancing conversion optimization with fraud prevention. Partner with Product and stakeholders to define the quarterly roadmap, drive measurable impact on self-serve ARR and fraud loss, and grow a distributed engineering team.

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FursaFursa
DeepL
DeepL
1 month ago

Engineering Manager | Payments, Abuse, and Conversion

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead the PAC (Payments, Abuse & Conversion) team within DeepL’s Monetisation organization, owning end-to-end delivery of a self-serve customer journey from activation to paid conversion. Guide architectural decisions across payments and a multi-layer fraud stack, balancing conversion optimization with fraud prevention. Partner with Product and stakeholders to define the quarterly roadmap, drive measurable impact on self-serve ARR and fraud loss, and grow a distributed engineering team.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead, mentor, and grow a distributed engineering team through 1:1s, continuous feedback, performance reviews, and career development.
  • •Own the team’s delivery cadence and establish a predictable agile process; partner with Product to define and prioritise the quarterly roadmap.
  • •Provide technical guidance as a technical steward by reviewing system designs and guiding architecture for payments and fraud infrastructure.
  • •Make data-informed trade-offs across activation, retention, bot protection, rate limiting, and abuse detection to balance conversion and fraud prevention.
  • •Represent PAC in cross-functional planning by articulating technical trade-offs in commercial terms and building relationships with product, finance, and engineering stakeholders.

Pay and Benefits

Equity and Bonus:Equity
Perks:Annual Leave

Key Requirements

  • •Proven direct people management experience leading engineering teams through growth, performance challenges, and organisational change.
  • •Significant hands-on experience as a Senior or Staff-level backend engineer with depth to guide architectural discussions.
  • •Strong payments domain experience building or managing payment gateway integrations, checkout flows, or billing infrastructure at production scale.
  • •Depth in fraud prevention, abuse detection, rate limiting, or bot protection to guide architectural decisions across a complex fraud stack.
  • •Experience designing, building, and operating scalable cloud-native distributed systems; experience with AWS, Docker, Kubernetes, and API design (gRPC, REST).
Skills:People leadershipMentorshipStakeholder managementExecutionData fluency
Tech Stack:AWSDockerKubernetesGRPCRESTKafkaCI/CD

Company Brief

DeepL
DeepL builds Language AI products (DeepL Translator, DeepL Write, APIs and enterprise solutions) that provide high-accuracy translations and writing assistance to businesses and individuals, focusing on privacy, security and enterprise deployment.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Cologne, Germany
Founded: 2017
Glassdoor
Glassdoor: 3.5
WebsiteLinkedInGlassdoor