AI Senior Machine Learning Product Manager, Welocalize
Translation & localization for global businesses
Job no longer available
Translation & localization for global businesses
1001+ employees
Job no longer available
1001+ employees
Company mission
To bridge language and AI to power global success in even the most complicated and regulated environments.
Role
Who you are
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field
- Minimum of 5 years of experience in product management
- Background in Machine Learning and AI Technologies
- Background in linguistics, computational linguists, translation a plus
- Minimum of 2 years in product management, technical project management, or software engineering specifically building AIML technologies
- Experience working in cross-functional teams and managing product development processes
- Strong written and verbal communications in English (minimum C2 level)
- Ability to develop written and visual communications that convey complex technical concepts to non-technical and technical audiences
- Strong understanding of iterative research and experimentation processes in the AIML space
- Advanced understanding of AI and machine learning research, concepts, and technologies
- Ability to maturely handle stakeholder interactions across a wide range technical and non-technical stakeholders
- Strong SQL skills and ability to translate business questions into useful queries
- Excellent project management and organizational skills
- Effective communication and interpersonal skills to liaise with diverse stakeholders
- Analytical mindset with the ability to conduct market research and competitive analysis
- Outstanding proficiency in using product management tools such as JIRA, Confluence, Jellyfish or similar platforms
- Ability to work independently and as part of a team in a fast-paced, dynamic global environment
- Familiarity with software development methodologies, including Agile and Scrum
- Ability to prioritize complex product landscape with shifting priorities
What the job involves
- The AI ML Product Manager will support our AIML Engineering organization as a senior contributor and mentor as we develop new AI products and deploy these products into production systems
- This role is pivotal in bridging the gap between innovation and practical application, ensuring seamless integration and timely execution of AI projects
- This role plays a particularly important role in driving AIML research and development activity
- The AI/ML Product Manager ensures alignment with business goals, conducts market research, and gathers customer insights to drive innovative solutions
- They oversee the end-to-end product lifecycle, from ideation and development to launch and iteration, ensuring high-quality deliverables
- With a strong technical background and a keen understanding of AI/ML technologies, the AI/ML Product Manager bridges the gap between technical teams and business stakeholders to deliver impactful products that meet market demands and drive business growth
- Efficiently coordinate efforts via real-time and asynchronous activity between the two globally distributed engineering teams - AIML R&D and AIML Data & Platform Engineering - to ensure alignment and drive successful product development
- Effectively drive the roadmap for AIML R&D working with senior scientists and ML engineering managers to prioritize research, experimentation, and AI tool releases, managing a highly iterative and necessarily unpredictable flow
- Actively support teams in defining product requirements, prioritizing features, and managing the product backlog, including responsibility for documenting and coordinating sprint priorities across teams. R&D work necessarily affects Platform roadmap and agile planning
- Oversee the product development lifecycle, from AI product ideation, through research and library development, through worker creation and production deployments, and culminating in documentation and observability tooling
- Manage data collection activities in coordination with cross functional teams to supply AI R&D teams with necessary data to drive training, testing and benchmarking efforts
- Serve as a liaison between stakeholders, including local PM teams, globally based Business Development teams, and other cross-functional units, to gather requirements and provide updates
- Create and maintain detailed product documentation, including user stories, use cases, and functional specifications, providing up-to-date guidelines for production configuration of all AIML toolings
- Identify resources that aid in measuring product impact and create models that estimate impact over time
- Facilitate user acceptance testing (UAT) and ensure that feedback is accurately captured and addressed
- Drive development of application and infrastructure monitoring dashboards and support both AIML team and end users in developing BI visualizations that support product monitoring. Analyze data and capture user feedback to inform monitoring automation requirement while targeting impactful improvements and feature enhancements
- Provide training and support to internal teams and end-users on new AI tools and functionalities
- Provide mentorship and coaching to junior Product staff
- Success in this role looks like effectively managing the AI product lifecycle, ensuring timely and high-quality delivery of AI tools, fostering strong collaboration between teams, and continuously driving product improvements based on user feedback and market trends
Our take
According to the CSA, while only 16% of the global population speaks English as their native language, approximately 60% of the top 10M websites are in English. With over 250 language options, Welocalize enables companies to unlock business opportunities at a global scale by transforming and localizing its clients’ online websites and content.
The company has made an impressive number of strategic acquisitions over the years, widening its reach across a range of industries including digital content marketing, litigation support, and healthcare, and is a trusted multilingual solution for 2,000+ global company clients (including Disney, Uber, Dell, TNT, and Blackboard).
Founded in 1997, the company is currently the 4th largest language service provider in North America and the 9th largest provider globally. Welocalize is well-positioned to see continued growth as it furthers its market-leading presence, including by making moves to strengthen its leadership team moving forward.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
28% employee growth in 12 months
Company
Funding (1 round)
Nov 2010
$34m
GROWTH EQUITY VC
Total funding: $34m
Company HQ
Midtown South, New York, NY
Leadership
Paul Carr
(CEO)Prior to joining Welocalize in 2023, Paul was a President at Third Bridge Group for 4 years and a President at Axiom for 10 years. He also spent 4 years at American Express as a VP and Head of Strategy/GM of International Insurance Services.
Chris Grebisz
(CTO)Chris joined Welocalize in 2002, leaving the team in 2008 to work in leadership roles at various Software Development companies. He then returned to Welocalize in 2013 and has since led operations in the Americas and now oversees the companies digital transformation and technology development worldwide.
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