Product Manager - Machine Learning

As GrabCycle’s Product Manager for Machine Learning, you will help our team build and execute strategies for

• Prediction: build algorithms to predict supply and demand dynamics

• Supply repositioning: solve for supply positioning with data and experimentation, creating an optimized network of assets for our riders, our business and our cities.

• Operational excellence: lead our operation teams to success with data driven intelligence. you will collaborate with operation teams to provide the best service to our riders at most efficient costs.

• Hardware design: leverage our data insights to inform and guide vehicle solutions, working closely with our hardware team to continuously bringing intelligent transportations on the road.

• Demand acquisition: improve the ROI of our rider side investment by improving cost efficiency of demand acquisition levers.

• Personalization: create a truly differentiating user product with UIUX teams by personalizing rider features.

• Partner solutions: re-imagine what it means for us to to meaningfully connect & interact with local businesses and how we will bring impact to our POI partners with data

You will will lead us to an innovative product direction and carve out a clear execution path towards driving significant impact. The role demands a deep background in product management, machine learning, and lean product methodologies; ability to operate in a highly technical and data-oriented environment; leadership skills, and the ability to do user research and work collaboratively with executive level stakeholders.

Basic Qualifications

• 3+ years Product management experience

• Experience building Machine Learning products from start to finish

• Strong communication and collaboration skills

• An undergraduate degree or equivalent in computer science or a quantitative domain plus hands-on software engineering and/or data science experience highly preferred.

• Working knowledge of machine learning solutions

Preferred Qualifications

• Excellent analytical and quantitative skills; strong bias towards data-based decision making

• Proven ability to understand complex business problems, apply strong analytical skill and create an effective strategy

• Technical fluency; ability to understand and discuss architectural concepts, schedule tradeoffs and new opportunities with technical team members

• Excellent customer experience intuition; demonstrated success in creating innovative and user-friendly software applications and customer-facing features

• Nimbleness and comfort with ambiguity; ability to respond rapidly to evolving threats and opportunities

• Demonstrated ability to translate strategic differentiators into innovative and detailed product requirements

• Proven ability to make smart features (customer experience) versus time-to-market trade-offs; experience using data and metrics to back up assumptions and assertions of business value

• Focused on building businesses, not features. Entrepreneurial experience building and leading businesses, including ownership and optimization of business performance metrics