Software Engineer
About the role
A bit about the role ๐ค
You'll Be Empowered To (responsibilities) ๐ฎ
- Own features end to end, from the customer problem through to shipping into a live product used by paying game studios
- Build attribution and measurement such as, click tracking, identity capture, install attribution, and conversion postbacks that work natively
- Shape Engage, our lifecycle and messaging engine across campaigns, journeys, segmentation, deliverability, and A/B testing
- Help build our AI CMO, and the orchestration layer that lets it beat a generic model by encoding real marketing expertise
- Work AI-native by default, using Cursor, Claude Code, and our own coding agents in the pull-request loop
- Work directly with Product, Design, Data, and our founders, and talk to the studios using what you build.
You may be a good fit if you ๐ค:
- 4+ years of engineering experience in a product-driven environment
- Energised in an ambiguous environment
- Strong hands-on experience with TypeScript (both frontend and backend) and Golang is a must have
- Empathy-driven communication and the ability to work across varied stakeholders
- Experience mentoring and sharing best practices with junior engineers
- Passion for user-first product development and operational excellence
- Start-up or Entrepreneurial experience is a plus
- Keen interest in Gaming and a willingness to learn fast
Strong candidates may also have experience with:
- Have built product at a marketing, growth, attribution, customer-data, or customer-engagement company, and terms like segments, attribution, user acquisition, CDP, CEP, lifecycle, and deliverability are second nature
- Have taken a product from 0 to 1, defining the first version and cutting scope yourself, and you think customer-problem-first
- Build with AI agents day to day, and have real opinions about where they help, where they don't, and when not to trust them
- Building and shipping AI or LLM-powered product features
Our Stack: TypeScript, Go, Next.js and React, a BigQuery-based customer data platform, AWS and GCP, Kubernetes, and AI tooling including Cursor and Claude Code. We track our work in Linear.
How we work: Small teams that own their outcomes. Fast iteration on CI/CD rather than big-bang releases. AI does the mechanical work so you can focus on judgement, taste and the customer.
We encourage you to apply even if you don't meet every qualification above. The strongest candidates often bring an unexpected background, and we'd rather hear from you than have you rule yourself out. We build for a global community of players, and we want a team that reflects it.
Additional information
Not included in the source posting: about the role, qualifications, benefits.
Skills
Who can apply
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