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Requirements:
This is the right job for you if you have:
2+ years of experience in game economy, data analytics, product analytics, or similar fields.
Proven track record of designing, balancing, and optimizing in-game economies at scale.
Critical thinking and the ability to anticipate risks, identify opportunities and strategic solutions.
Demonstrated ability to work closely with Product, Analytics, Monetization and Operations.
Experience leading discussions, aligning stakeholders and supporting data driven decision making.
Strong understanding of the gaming ecosystem, including competitors, industry trends, new releases and changes.
Expert level Excel
Very good command of English.
Surprise us with:
Experience owning or significantly shaping the economy of a large-scale live game.
Expertise in advanced modeling or data science techniques (statistical modeling, simulations, machine learning).
Experience mentoring or guiding other analysts/economy designers.

Requirements:
This is the right job for you if you have:
2+ years of experience as a Monetization Specialist in the gaming industry.
A proven background in product monetization and marketing strategy execution.
Strong analytical thinking and the ability to derive insights from complex data sets.
A creative and curious mindset with a strong business orientation.
Great communication skills and experience collaborating across teams and functions.
High proficiency in English (both written and spoken).
Ability to take full ownership of projects from ideation to execution.
Bachelors degree (preferred).
Surprise us with:
Knowledge of emerging trends and technologies in the gaming industry.
Experience in LiveOps planning and revenue forecasting.
Familiarity with social casino or casual free-to-play game models.

Requirements:
* Bachelor's degree in Supply Chain Management, Business Administration, or a related field.
* Minimum of 3 years of experience in production planning or supply chain management.
* Strong analytical skills and experience with production scheduling software.
* Excellent communication and interpersonal skills.
* Ability to work under pressure and manage multiple priorities.
* Proficiency in Microsoft Office Suite, particularly Excel.
* Experience in a manufacturing environment is preferred.

Requirements:
7+ years building production backend systems, including at least 2 years owning a distributed/async runtime (workflow engine, task queue, event-driven system, stream processor - Temporal.io, Celery, Kafka Streams, AWS Step Functions, or equivalent).
Deep hands-on Python (the player and workflow runtime are Python), plus working JavaScript.
Production scale experience and mindset. You've operated systems where throughput, tail latency, and blast radius are first-class design constraints, not afterthoughts.
Production experience operating self-hosted infrastructure on Kubernetes (EKS preferred). Comfortable reading helm charts, debugging pod resource issues, and reasoning about autoscaling.
Comfortable with CI/CD pipelines, infra-as-code, and being on-call for systems you ship.
AI fluency on both sides of the product. You use Claude Code or an equivalent agentic coding tool for real SDLC work (design docs, refactors, on-call triage) and have shipped LLM-backed features in production - agentic workflows, retrieval, tool-use, structured output, with an eval loop and a real opinion on latency, cost, and safety.
Strongly preferred (any one of these moves you up the stack):

Direct experience with Temporal.io in production - workflow versioning, replayer-based regression detection, signal/query/update patterns, codec authoring, per-namespace operational concerns.
Strong grasp of distributed-systems failure modes: idempotency, retries, timeouts, partial failures, non-determinism, exactly-once vs at-least-once semantics. You can debug a "stuck workflow" without a runbook.
Performance optimization in Python at the deserialization/interpreter / JIT layer (cython, mypyc, alternative JS engines, profiling tooling).
Operating modern self-hosted infrastructure at scale. Hands-on with multi-cluster EKS, a metrics + logs stack (Prometheus / Grafana / centralized log aggregation), IaC, and GitOps workflows. You've owned the dashboards and alerts you're on-call against - not just consumed someone else's.