Senior Director of Machine Learning Engineering, Gametime
$326-370k
+ Equity
Last-minute ticket platform
Job no longer available
Last-minute ticket platform
201-500 employees
Job no longer available
$326-370k
+ Equity
201-500 employees
Company mission
To connect people trough incredible shared experiences.
Role
Who you are
- We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams
- A successful leader in this role will have experience developing a MLE organization and establishing a technology platform that will enable Gametime to succeed for years to come
- This role is for a player-coach
- We are looking for someone who still desires to be hands on in the codebase and working alongside the team to execute
- A technical leader with proven experience creating production end-to-end machine learning infrastructure at scale
- You are comfortable discussing modern ML architectures, personalization algorithms, dynamic pricing strategies, and solutions to ranking problems
- You are able to dive deep into code to provide an expert opinion on design design choices and implementation
- Proven experience managing multiple initiatives, with many stakeholders, and several timelines simultaneously
- Able to adapt and succeed in a rapidly changing landscape while maintaining a long term vantage
- A capable communicator who can change their altitude of discussion to move from discussing business impact and priorities with senior leadership and deep technical conversations with the development team
- A life long learner who is passionate about staying at the forefront of industry trends and developments to ensure Gametime is performing at the highest capability level possible
- Bachelor's Degree in computer science, software engineering, or related field (Masters or Ph.D. preferred)
- 6 + years of experience in developing production machine learning capabilities
- Deep knowledge of software architecture and engineering best practices, especially modern cloud computing stacks for deploying machine learning and microservices at scale especially on Snowflake
- Strong background in machine learning capabilities; For example, this could include product recommendation engines, ranking problems, or dynamic pricing systems, etc
- Experience influencing platform development for providing foundational machine learning components for data scientists to deliver into production
What the job involves
- As a Director of Machine Learning Engineering (MLE), you will lead the MLE function to deliver foundational technology to the future success of the company
- We have a multitude of dynamic opportunities that sit at the core of our product strategy that are ripe for machine learning to enable us to optimize and excel
- This role will be expected to lead ML projects across all domains of the company, grow and retain talent, and be a champion for best practices
- Develop a Machine Learning organization and infrastructure that will support Gametime’s growth and success
- Establish a vision and goals for ML at Gametime that reflects the company’s desire to grow and succeed
- Hire, mentor, and grow the ML team members and ML skill set across the company
- Set high standards for engineering excellence and drive innovation
- Utilize industry best practices to consistently deliver high caliber, scalable solutions while managing competing priorities and cost
- Leverage your prior experience to develop new and innovative solutions that will reflect and incorporate rapidly changing industry trends
- Embody Gametime’s core values and enact them in you day-to-day leadership
Our take
Gamtime is a last-minute event ticketing platform that aims to stand out from the myriad of other similar apps by allowing customers to buy a ticket after the event has started. The reason for this is that ticket prices for sports often fall dramatically after the game has started, making the most of the easy-to-use, quick-buy app's features.
Though this may only cater to a small percentage of its customers, it exemplifies a certain boundary pushing from the company. This is clearly something that the market supports, given its substantial fundraising from the likes of Bolt Ventures and Maven Ventures. In addition, Gametime’s position as both a seller and buyer marketplace has placed it in a great position as a commentator on live events, collecting valuable data.
With the demand for great-value event tickets likely to continue to grow, Gametime is in a prime position to capitalize on this trend. Although the company only sells tickets for the North American continent, it is seeing huge revenue across the sports, theatre, and music concert markets - and aims to use its funds to further enhance its products and market its app to younger eventgoers.
Steph
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2022
$30m
EARLY VC
Sep 2017
$8.2m
EARLY VC
Total funding: $71.5m
Company benefits
- Health Benefits: Medical, dental, and vision coverage for you and your dependents
- Equity: An ownership stake in the company you'll be helping to build
- Flexible PTO: 'Take what you need' vacation policy (we actually mean it)
- Remote First: Fully remote company
- Remote Work stipend: Monthly stipend to offset the cost of internet and any home office updates
- Paid Parental Leave: Peace of mind for parents to dedicate their time to the care of their new child
- Gametime Credit: Monthly Gametime credit to experience the product for yourself
- Team Celebrations: Company meetups and events in different cities across the US
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Brad Griffith
(Founder & CEO)Currently Visiting Lecturer at Stanford Graduate School of Business. Previously worked in Growth, iOS Development and Interactive Marketing at Zappedy, and was a Quantitative Researcher at LOLapps.
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