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We are hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers.

AV(Autonomous Vehicles) Integration group leads the entire AV experiments in our company to achieve online performance testing as well as offline validation analysis to provide accurate and persistent feedback on every cutting-edge technology that enable Fully Autonomous Driving Capabilities - sensing, maps, control etc. The process starts from the point of new systems design with architecture department, bring-up of new hardware/software into our AV Fleet, leading the day-to-day experiments and managing End-to-End data pipeline. We provide to AV developments groups a clear view of the AV functionalities performance. We have a full responsibility to develop our tools and infrastructures to enable our daily operation. This position is temporary for ~9 months.
What will your job look like:
Manage the teams shift scheduling.
Generate reports from internal systems to provide visibility and insights for the teams needs.
Track cross-team tasks including prioritization, timeline adherence, and flagging challenges or issues.
Maintain ongoing monitoring of the active AV-Fleet vehicle statuses.
Oversee the vehicle incident queue and track the progress of related tasks.
Present vehicle activity status updates to relevant team members.

We are looking for a hands-on data infrastructure and platform engineer with proven leadership skills to lead and evolve our self-service data platform that powers petabyte-scale batch and streaming, near-real-time analytics, experimentation, and the feature platform. Youll guide an already excellent team of senior engineers, own reliability and cost efficiency, and be the focal point for pivotal, company-wide data initiatives- feature platform, lakehouse, and streaming.
Own the lakehouse backbone: Mature Iceberg at high scalepartitioning, compaction, retention, metadataand extend our IcebergManager in-house product to automate the lakehouse management in a self serve fashion.
Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.
Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.
Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.
Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).
What you'll be doing
Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
Owning SLOs, on-call, incident response, and postmortems for core data services.
Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

'we are responsible to foster quality and excellence in our company's products and processes across the entire company. our company team focuses on ensuring high customers' satisfaction through continuous improvement and implementation of automotive standards and best-practices such as ASPICE, IATF16949, ISO 9001, VDA/AIAG Core Tools and ISO26262, both internal and across the entire supply chain. In order to support our company objectives, The QMS & Production Quality team is looking for a Production Quality Engineer
What will your job look like:
Define and implement production quality framework and workplan for our company's systems' NPI and serial production activities (from scratch)
Work closely with colleagues from other departments (PMs, development engineers, production engineers, management) and other organizations (suppliers and customers).
Work with contract manufacturers to analyze the production process, process capability, process capacity and measurement systems capability.
Assess and control the activities through performing VDA6.3 audits
Lead/Support 8D multi-disciplinary teams to investigate faults and failures
Lead and update PPAP folders for our company's systems
Identify opportunities for improvement and execute them.
Create relevant work items templates and coach the teams how to use them.
Assess KPIs of processes and activities and suggest corrective actions and improvement.
Represent production quality related issues with customers, suppliers and 3rd party organizations.

Required Growth Performance Manager
The opportunity
As a Performance Manager, you will leverage our advertising platform to optimize key strategic gaming accounts, driving revenue growth through advanced data analytics and strategic insights.
This role requires a high level of analytical expertise, strategic thinking, and a deep understanding of game economies.
What you'll be doing
Conduct data analysis to identify trends and insights, executing strategies to optimize user acquisition activity.
Collaborate with account management teams to support and optimize key gaming accounts, ensuring client satisfaction and success.
Communicate with advertisers on providing suggestions to optimize campaigns and improve user acquisition strategy.
Work closely with internal teams to implement improvements, develop new features, and adjust strategies to ensure client success.
Develop and present client-facing materials, including partnership decks, case studies, and presentations to drive business development efforts.