At a glance
- Experience
- 2+ years experience
- Workplace
- Hybrid
- Location
- London
About sound cloud
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- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
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- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
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- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
About the role
- SoundCloud is seeking an Engineering Manager to lead the Ads ML (Machine Learning) team within the Growth, Revenue and Commerce group and take ad delivery into the machine learning era.
- This is a hybrid leadership role with a strong hands-on component where you will lead a team of four backend and ML engineers, contribute directly to the codebase, and own the technical direction of machine learning driven ad delivery.
Responsibilities
- Own the ML roadmap for ad delivery by taking personalised ad serving from experiment to production across markets.
- Own the production ML stack behind ad decisions including online model serving, real-time bandit decisioning, feature pipelines, and model evaluation and monitoring.
- Build a rigorous experimentation practice for ML encompassing offline and online evaluation, A/B test design, guardrail metrics, and clear ship-or-hold decisions on ad load and user LTV.
- Own the backend ad delivery services that turn model decisions into the ads served on iOS, Android and web.
- Partner with client engineers, data analysts and product on the roadmap, balancing revenue, retention and ad inventory.
- Grow the team's ML depth through hiring, mentorship and career development, and manage performance effectively.
Requirements
- 2+ years of engineering management experience.
- 5+ years as a backend software developer.
- Hands-on experience building and running ML systems in production.
- Solid grasp of applied ML for decision-making such as bandits, ranking, recommendation or propensity models.
- Strong experiment design skills, including statistical rigour and the trade-off between short-term revenue and long-term retention.
- Experience managing engineers, including coaching, feedback and performance development.
- Clear communication with technical and non-technical stakeholders.
Preferred qualifications
- Experience in ad tech, ad serving or large-scale experimentation on a large consumer platform.
- Contextual or multi-armed bandits, reinforcement learning or uplift modelling in production.
- ML platform tooling including feature stores, model registries and workflows.
- User LTV, churn or subscription-propensity modelling.
- Ad standards and integrations such as VAST, programmatic demand (SSPs and DSPs), and frequency capping.
- Audio or video advertising.
- Scala or another JVM language, and Python for ML work.
Benefits
- Creativity and Wellness benefit
- Employee Equity Plan
- Generous professional development allowance
- Flexible vacation and public holiday policy offering up to 35 days of PTO annually
- Various snacks, goodies, and 2 free lunches weekly when at the office
Workplace
- Hybrid leadership role with flexible work culture offering collaboration at the London office and work from home options.
Skills
- Machine Learning
- Python
- Scala
- JVM
- Ad Tech
