Institutional Data Product Manager

We are looking for an Institutional Data Product Manager who has experience working for a technology firm preferably as a Data Product Manager or from a Data Engineering background. The candidate will work directly with the founders of the company to help shape the overall strategy and direction of our institutional product launch. Product Managers at Treehouse are not only responsible for executing on the product strategy and vision, but also play a pivotal role in pushing the boundaries of the product. 

Roles & Responsibilities

• Support the development, scoping, and prioritisation of our data product strategy.

• Build data product roadmaps and manage work streams, while overseeing our product life cycle.

• Support ideation, technical development, and launch of innovative analytic products.

• Lead user interviews, identify key user stories, propose data pipelines / products / bets to be launched. 

• Manage the data delivery roadmap across product areas and evaluate data strategy based on client demand and market trends.

• Scope technical / data requirements, recommend ETL based on our data sources, create conceptual diagrams, wireframes, and data design / requirement documents.

• Work with our engineers to execute; conscientious of time-to-market and capable of optimizing resources.

• Communicate solutions and roadmaps via written collaterals, meetings, and presentations. 

• Able to take ownership of your projects, anticipate problems and communicate requirements / timelines with internal and external stakeholders, ensuring timely and quality delivery of data product features.

Skills & Requirements

• Recent graduate with 0 to 2 years of product management experience. 

• Degree in Computer Science, Engineering, Mathematics, Physics or any quantitative major.

• Programming experience in languages such as C/C++, Python, Golang, R.

• Familiarity with project management tools such as Jira / notion and database (MongoDB, etc).

• Experience with real-time data streams, cohorting, data classification, data infrastructure and data lineage is a big plus.

• Some understanding of the traditional financial markets and different needs of funds when dealing with systems and services that support the investment lifecycle (e.g. trading and risk systems).

• Fluent to native competency in English with strong written and oral communication skills.

• Meticulous and analytical thinker, with strong work ethics and a passion for excellence.

• Deep passion for blockchain and decentralized finance.

• Bonus: Have experience in data engineering and have built scalable and efficient data pipelines.

Perks

• Competitive pay; Unlimited vacation policy; On-site company gym; and a fun & global team!

Company Description

Treehouse provides DeFi users with live analytics and risk metrics of their digital assets. We are building a unified and user-friendly interface to help users successfully manage their portfolio in the ever-changing world of DeFi. We aim to be the gateway for all traders to effectively manage their DeFi risk across chains and are backed by some of the top Global VC's and global crypto exchanges.

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