D

Product Marketing Manager

Dataiku
Full-time
Remote
Worldwide
πŸ“¦ Product Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Product Marketing Manager

πŸ”Ή Company: Dataiku

πŸ”Ή Location: United States (Remote)

πŸ”Ή Job Type: Full-Time

πŸ”Ή Category: Software Development

πŸ”Ή Date Posted: May 1, 2025

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: Remote OK

πŸš€ Job Overview

Key aspects of this role include:

  • Driving go-to-market (GTM) strategies for one of Dataiku's offerings
  • Collaborating with cross-functional teams, including product, marketing, and sales
  • Creating marketing assets and enabling materials
  • Understanding and communicating product roadmaps and market responses
  • Thriving in a fast-paced, dynamic environment

ASSUMPTION: This role requires a strong understanding of both technical details and business value, as well as the ability to communicate effectively with both technical and non-technical stakeholders.

πŸ“‹ Key Responsibilities

βœ… Work with field teams and product managers to understand market responses to Dataiku's offers and programs

βœ… Understand and support the communication of upcoming product roadmaps

βœ… Support release marketing both internally and externally

βœ… Create materials to support one of Dataiku’s offerings, including overall messaging, positioning, demos, enablement decks, database emails, social media messaging, website pages, etc.

ASSUMPTION: This role involves a mix of strategic planning, tactical execution, and cross-functional collaboration to drive successful product marketing campaigns.

🎯 Required Qualifications

Education: Bachelor’s degree in Marketing, Business, or a related field

Experience: 5+ years of experience in product marketing, preferably in the tech or SaaS industry, with a focus on data or AI/ML solutions

Required Skills:

  • Familiarity with analytics or AI/ML technologies and their applications in enterprise environments
  • Proven track record in managing go-to-market strategies, product launches, and cross-functional collaboration
  • Strong project management skills with the ability to lead multiple initiatives simultaneously
  • Exceptional communication and storytelling skills, with a keen ability to translate technical concepts into compelling narratives
  • Experience in working closely with sales, product management, and content teams to drive results
  • Ability to thrive in a fast-paced environment and adapt to changing priorities

Preferred Skills:

  • Experience working with data science or machine learning teams
  • Fluency in multiple languages

ASSUMPTION: While not explicitly stated, proficiency in English is likely required for this role due to the company's global presence and the nature of the position.

πŸ’° Compensation & Benefits

Salary Range: $165,000 - $185,000 USD (based on the provided range and industry standards for a Product Marketing Manager with 5-10 years of experience in the tech industry)

Benefits:

  • Stock Options
  • Medical Plans
  • Dental Plans
  • Vision Plans
  • Flexible Spending Accounts
  • Pre-tax Commuter Benefits
  • 401k Company Match
  • Paid Vacations
  • Paid Sick Leave
  • Paid Parental Leave
  • Employer Paid Disability Coverage
  • Health and Wellbeing Perks

Working Hours: Full-time, with flexibility for a remote worker

ASSUMPTION: The salary range provided is an estimate based on industry standards for a Product Marketing Manager with the required experience level. Actual compensation may vary based on factors such as geographic location, internal equity, and individual qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Software Development, specifically focused on data science, machine learning, and AI platforms

Company Size: 1,001-5,000 employees (mid-sized to large enterprise)

Founded: 2013, with headquarters in New York, NY

Company Description:

  • Dataiku is a universal AI platform that enables organizations to control their AI talent, processes, and technologies
  • It integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality
  • Dataiku caters to a wide range of customers, including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology companies, as well as non-profits and academic institutions

Company Specialties:

  • Data Science
  • Machine Learning
  • Data Science Platform
  • Collaborative Data Science
  • End-to-End Data Science Platform
  • Enterprise AI
  • Big Data
  • AutoML
  • Data Prep
  • Responsible AI
  • Transparent AI
  • Scalable AI
  • Data Democratization

Company Website: http://dataiku.com

ASSUMPTION: Dataiku is a well-established company in the data science and AI industry, with a strong focus on enterprise customers and a comprehensive AI platform that caters to a wide range of use cases.

πŸ“Š Role Analysis

Career Level: Mid-level to senior, with a focus on strategic planning and cross-functional collaboration

Reporting Structure: This role likely reports to the Head of Product Marketing or a similar position

Work Arrangement: Remote OK, with a preference for candidates located within EST or CST timezones

Growth Opportunities:

  • Potential career progression into senior roles within the product marketing team or other departments
  • Opportunities to work on diverse projects and gain exposure to various aspects of the business
  • Chance to grow with the company as it continues to expand and innovate in the AI space

ASSUMPTION: This role offers opportunities for professional growth and development within a dynamic and expanding organization.

🌍 Location & Work Environment

Office Type: Remote, with the option to work from one of Dataiku's global offices

Office Location(s): New York, NY (headquarters), Paris, France, London, England, Amsterdam, Netherlands, Frankfurt, Germany, Sydney, Australia, Denver, Colorado, Singapore, Tokyo, Japan, Raleigh, North Carolina, and Chicago, Illinois

Geographic Context:

  • The United States is the primary market for this role, with a focus on the Eastern Time Zone
  • Dataiku has a strong global presence, with offices and customers across multiple continents
  • The remote work arrangement allows for flexibility and work-life balance

Work Schedule: Full-time, with flexibility for a remote worker

ASSUMPTION: The remote work arrangement allows for a better work-life balance and the ability to attract top talent from various geographic locations.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screen with the HR team
  • Technical assessment or case study
  • Interview with the hiring manager and/or team members
  • Final interview with the Head of Product Marketing or a similar position

Key Assessment Areas:

  • Technical knowledge of data science, machine learning, or AI/ML technologies
  • Product marketing skills and experience
  • Communication and storytelling abilities
  • Cross-functional collaboration and teamwork
  • Adaptability and resilience in a fast-paced environment

Application Tips:

  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role
  • Prepare for behavioral and situational interview questions that focus on your problem-solving skills, strategic thinking, and ability to work collaboratively
  • Be ready to discuss your understanding of Dataiku's products and the AI/ML industry

ATS Keywords: Product Marketing, Go-to-market Strategies, Cross-functional Collaboration, Project Management, Communication Skills, Storytelling, AI/ML Technologies, Sales Collaboration, Marketing Assets Creation, Data Science, Machine Learning

ASSUMPTION: Dataiku's interview process is designed to assess candidates' technical skills, strategic thinking, and cultural fit within the organization.

πŸ› οΈ Tools & Technologies

  • Dataiku's AI platform and related tools
  • Marketing automation and CRM software (e.g., HubSpot, Salesforce)
  • Project management tools (e.g., Asana, Trello)
  • Collaboration and communication tools (e.g., Slack, Microsoft Teams)

ASSUMPTION: Dataiku provides its employees with access to the necessary tools and technologies to perform their jobs effectively.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Customer-centric
  • Innovative
  • Collaborative
  • Responsible
  • Inclusive

Work Style:

  • Dynamic and fast-paced
  • Collaborative and team-oriented
  • Focused on driving results and continuous improvement
  • Open and transparent communication

Self-Assessment Questions:

  • Do you thrive in a dynamic, fast-paced environment?
  • Are you comfortable working collaboratively with cross-functional teams?
  • Do you have strong communication and storytelling skills?
  • Are you passionate about data science, machine learning, or AI/ML technologies?

ASSUMPTION: Dataiku values employees who are innovative, collaborative, and customer-focused, with a strong work ethic and a passion for driving results.

⚠️ Potential Challenges

  • Managing multiple projects and priorities simultaneously
  • Balancing technical depth with strategic breadth in a fast-paced environment
  • Collaborating effectively with remote team members and stakeholders
  • Keeping up with the latest trends and developments in the AI/ML industry

ASSUMPTION: This role presents unique challenges that require strong project management skills, adaptability, and a deep understanding of both technical and business aspects of AI/ML technologies.

πŸ“ˆ Similar Roles Comparison

  • Compared to other product marketing roles, this position requires a stronger focus on AI/ML technologies and enterprise environments
  • Dataiku's platform caters to a wide range of industries and use cases, offering diverse project opportunities
  • Career progression in this role may involve moving into senior roles within product marketing or transitioning into other departments, such as sales or customer success

ASSUMPTION: This role offers unique opportunities and challenges compared to other product marketing positions, with a strong focus on AI/ML technologies and enterprise environments.

πŸ“ Sample Projects

  • Developing a go-to-market strategy for a new AI/ML product or feature
  • Creating marketing assets and enablement materials for an upcoming product release
  • Conducting market research and analysis to inform product positioning and messaging
  • Collaborating with sales teams to develop targeted campaigns and account-based marketing strategies

ASSUMPTION: These sample projects illustrate the strategic and tactical aspects of the product marketing role at Dataiku, with a focus on driving successful go-to-market strategies and campaigns.

❓ Key Questions to Ask During Interview

  • Can you describe the current product roadmap and how my role would contribute to its successful execution?
  • How does the product marketing team collaborate with other departments, such as product, sales, and customer success?
  • What are the most significant challenges facing the product marketing team, and how can this role help address them?
  • How does Dataiku support the professional growth and development of its employees?
  • What are the key priorities for this role in the first 30, 60, and 90 days?

ASSUMPTION: Asking these questions demonstrates your interest in the role, the company, and the industry, while also providing valuable insights into the position and the organization.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through the provided link
  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role
  • Prepare for behavioral and situational interview questions that focus on your problem-solving skills, strategic thinking, and ability to work collaboratively
  • Be ready to discuss your understanding of Dataiku's products and the AI/ML industry
  • Follow up with the hiring manager or HR team within one week of submitting your application, if you have not heard back

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.