Product Marketing Manager
AlteraSalary not specified
- Full Time
- Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, AI & Data Solutions, SaaSIndustries
Requirements
Candidates should possess a Bachelor’s degree in Marketing, Business, or a related field, along with 5+ years of experience in product marketing, preferably in the tech or SaaS industry with a focus on data or AI/ML solutions. Familiarity with analytics or AI/ML technologies and their applications in enterprise environments is also required, as is a proven track record in managing go-to-market strategies, product launches, and cross-functional collaboration. Strong project management skills and exceptional communication and storytelling abilities are essential, along with experience working closely with sales, product management, and content teams to drive results.
Responsibilities
The Product Marketing Manager will work with field teams and product managers to understand market responses to Dataiku’s offers and programs, support release marketing both internally and externally, and create materials to support one of Dataiku’s offerings and associated programs, including messaging, demos, enablement decks, database emails, social media messaging, and website pages. The role also involves understanding the upcoming product roadmap and articulating the broader business value and strategic benefits to both technical and non-technical stakeholders.
Skills
Product Marketing
Go-to-Market Strategies
Product Launches
Cross-Functional Collaboration
Project Management
Technical Communication
Data Analytics
AI/ML Technologies
Storytelling
Market Research
Dataiku
AI solutions for operationalizing business processes
About Dataiku
Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.
Key Metrics
New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees