Product Lead - Relevancy
Rokt, Australia
Job Description
Who we are
Rokt is expanding rapidly and globally operating in 16 markets worldwide, with its headquarters in NYC, and a major Ramp;D hub in Sydney. As the global leader in ecommerce technology, Rokt powers the Transaction Moment of best-in-class companies including Live Nation, Groupon, Staples, Lands' End, Fanatics, GoDaddy, Vistaprint, and HelloFresh. Our mission: To make ecommerce smarter, faster, and better.
With annual revenues of more than US$100M and a vibrant company culture, Rokt has been listed in ‘Great Places to Work’ in the US and Australia. Our award-winning culture is guided by our four core values: Smart with Humility, Customer Obsessed, Conquer New Frontiers, and Enjoy the Ride. These values help us attract, engage, and develop the right talent around the globe and ensure we have the right conditions to do our best work.
Keen to join a fast-growing company and a vibrant culture? Learn more at rokt.com.
Requirements
About the role
We are looking for an experienced Product Lead to join our rapidly expanding Optimization team and take on ownership of our Machine Learning products as part of our Relevancy offering. This offering is core to Rokt's business, utilising our prediction capabilities to ensure the most relevant ad is shown to each customer in the Transaction Moment.
Change is your friend - at Rokt we pivot when required, to optimize profitable growth, innovation and responsiveness to customers. You see opportunities in any challenge, and you bring a history of proven, best-in-class programs and initiatives to drive improved value to clients across the entire product portfolio.
As a Product Lead in this team you will be responsible for setting the direction of the team, working closely with senior engineering counterparts to develop and drive the roadmap. You will partner with a team of engineers and data scientists on a daily basis to define, build and ship scalable solutions that improve the experience and outcomes for our customers, advertisers and partners. You will be pivotal in managing ML and Optimization projects at all stages, from inception and design, through to development, deployment and improvement. You will coordinate cross-functional teams to solve the biggest problems for our clients, all the while having a significant opportunity to make an impact on our business's performance.
As the ideal candidate in this space, you will possess a strong technical background and experience in Machine Learning products. You will be equally comfortable discussing innovative and technical concepts with PHD Data Scientists, as you will be presenting findings to Senior Leaders in the business.
Outcomes amp; responsibilities
- Product Sense: Articulate and structure problem spaces for Rokt’s machine learning systems, identifying solutions and managing the evaluation processes
- Develop formal product requirements for the relevancy features to be developed
- Management of product delivery for features including backlog management and prioritisation recommendations
- Product Execution: Develop and monitor key metrics for your products. Plan and manage go-to-market processes new optimization features, and objection handling
- An active member of the broader product team, engaged in broader discussion and team building activities
- Jira management, including clear user stories and acceptance criteria
Capabilities amp; requirements
- Minimum of a Bachelor's Degree in a quantitative field such as Computer Science, Mathematics, Engineering, Science, Economics or Finance
- 6+ years of experience in Product Management, with progressive responsibilities
- 2+ years in machine learning based products
- Demonstrated analytical and quantitative skills, ability to use hard data and metrics to back up assumptions
- Comfortable working closely with Senior Data Scientists and Engineers
- Demonstrated ability to break down complex problems, conduct relevant analysis, and evaluate and recommend solutions
- A great team player, positively contributing to the product team and culture
- Masters degree in a quantitative field
- Experience contributing to engineering discussions around technology decisions and strategy related to a machine learning product is advantageous
- Existing knowledge in e-commerce/internet technologies is desirable
- Some knowledge of data structures, algorithms, and designing for performance, scalability, and availability is also advantageous
Preferred
Benefits
- Work with the greatest talent in town. Our recruiting process is tough. We hold a high bar because we have a high performing, high-velocity cultu