CanadaForward Deployed Engineer, Data & AI
2 нед. назад
90k–135k / yearCanadaWorldwideRemote
data analysisaimachine learning
Engineer working at the intersection of data and AI to support business needs at .
О компании
- At , we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses: • Curiosity : We do our best work when we’re immersing ourselves in culture and breaking through barriers. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future. • Collaboration : Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build
Требования
- Experienced, Scrappy, and Creative: You have at least 3 years of software engineering experience. An ideal candidate will have exposure to customers, experience with Python, experience with data pipelining (e.g., ETL) and either Snowflake and/or Databricks (we build on both but one is sufficient for candidates). Ideally, you’ve already used Genie Code or Cortex Code, Notebooks, and Streamlit to some extent to deliver solutions. You’re imaginative and can think of ways to rapidly solve problems.
- Biased to Action and Impact: You have a strong focus on the customer with a bias to action to deliver value quickly. You are deeply motivated when you see pain points to fix them. You can take a manual, scrappy workflow that involved copy-pasting between tools and use AI to make it feel seamless.
- Lifelong Learner: You have a passion for learning and yearn for feedback, valuing the opportunity for daily growth.
- Mission-Driven: You are a music fan motivated by the fact that your work directly impacts an artist’s ability to grow their career and get paid.
Другое
- Deliver Impactful Solutions for Diverse Stakeholders : Proven capability to step into different problem spaces and work with diverse people to turn work that takes weeks into minutes.
- Full-Stack Engineering: Ability to flex across backend, frontend, data pipelines, AI tools, Python, React. When you aren’t a pro at something, you can use AI effectively to deliver and you know how to make sure that the engineering stays excellent along the way.
- AI Solutions Delivery: Demonstrated ability to use AI tools to design, build, and deploy production solutions to accelerate non-technical stakeholders.
- Product Sense and Impact : Ability to rapidly understand and develop a solution without having curated requirements. You can step into a problem space with little context, rapidly understand what needs to be done, and deliver impact.
- Empathy and Customer Communication : Strong ability to communicate in non-technical language to stakeholders from entry to executive level. Proven ability to both manage expectations and keep customers up to date.
- AI Solutions Engineering: Familiarity working with AI tools such as Gemini, Cortex Code, and Genie Code, and you can wield them to turn solution delivery from weeks into hours.
- Be Curious and Adaptable: You are eager to explore new technologies and you are happy to flex across a variety of problems and domains by the day. You are comfortable with dozens of different problems for different stakeholders at any given time.
- Stay Aligned : Proven ability to contribute to standards and leverage existing tools and systems to ensure the FDE solutions are aligned with the Data and Insights engineering roadmap.