AI Product Marketing Manager

📌 Core Information

🔹 Job Title: AI Product Marketing Manager

🔹 Company: Bright Data

🔹 Location: Netanya, Central, Israel

🔹 Job Type: Full-time

🔹 Category: Software Development

🔹 Date Posted: April 7, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: Remote OK

🚀 Job Overview

Key aspects of this role include:

• Leading Bright Data’s positioning in the AI & Data ecosystem
• Developing and executing go-to-market strategies for AI-focused products
• Collaborating with sales and customer success teams to drive product adoption and revenue growth
• Defining competitor differentiation to beat AI-specific data vendors and infrastructure providers

ASSUMPTION: This role requires a strategic, data-driven approach with a strong understanding of AI and data infrastructure. The ideal candidate will have experience in product marketing, preferably within the AI or data industry.

📋 Key Responsibilities

✅ Own messaging and positioning for AI model training, AI agents, and real-time inference

✅ Craft compelling value propositions and market education to differentiate Bright Data in AI training, inference, and web-scale data access

✅ Ensure AI messaging aligns with Bright Data’s proxy and data business for a seamless brand experience

✅ Develop AI-specific go-to-market playbooks, aligning with Sales, Growth, and Partnerships

✅ Refine messaging, train sales teams, and ensure AI prospects understand Bright Data’s product value

✅ Define launch strategies for new AI products (e.g., training datasets, AI-ready web scraping APIs, data pipelines)

✅ Create landing pages, sales enablement materials, case studies, and pitch decks for AI buyers

✅ Conduct market research and customer interviews to refine AI buyer personas

✅ Identify AI customer pain points and decision-making processes to optimize messaging and conversion

✅ Track AI competitors to refine Bright Data’s positioning and create differentiation

✅ Define why AI companies should choose Bright Data over in-house data collection, open datasets, or competitors

✅ Work with Product, Sales, and Growth Teams to optimize AI-focused solutions, sales enablement, and demand generation

ASSUMPTION: The responsibilities listed above are based on the provided job description. However, some details may have been simplified or combined for clarity and formatting.

🎯 Required Qualifications

Education: Bachelor's degree in Marketing, Business, or a related field (or equivalent experience)

Experience: 4+ years in product marketing of AI, data, SaaS, or developer-focused products

Required Skills:

• Strong understanding of AI/ML, data infrastructure, and AI data acquisition
• Excellent storytelling and content creation skills
• Proven experience in go-to-market execution, competitive positioning, and sales enablement
• Ability to translate technical AI and data concepts into clear, compelling narratives for different audiences
• Comfortable in fast-paced, high-growth environments and in navigating complex, multi-product positioning

Preferred Skills:

• Experience in marketing data platforms, AI/ML products, or enterprise infrastructure
• Background in developer marketing or technical marketing
• Familiarity with proxy networks, web scraping, or AI training data needs

ASSUMPTION: The required qualifications listed above are based on the provided job description. However, some details may have been simplified or combined for clarity and formatting.

💰 Compensation & Benefits

Salary Range: The salary range for this role is not provided in the job description. However, based on industry standards for AI Product Marketing Managers with 5-10 years of experience in Israel, the estimated salary range is ₪250,000 - ₪350,000 per year.

Benefits:

• Health insurance
• Retirement plan
• Flexible work hours
• Professional development opportunities

Working Hours: Full-time (40 hours per week) with flexible hours and remote work options

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications. The benefits listed are common for companies of Bright Data's size and industry but may not include all available benefits.

📌 Applicant Insights

🔍 Company Context

Industry: Bright Data operates in the Software Development industry, focusing on AI-driven eCommerce insights and data solutions.

Company Size: Bright Data has 201-500 employees, which means applicants can expect a mid-sized company structure with opportunities for growth and collaboration.

Founded: Bright Data was founded in 2015, making it a relatively young company with a strong focus on innovation and growth.

Company Description:

• Bright Data is dedicated to delivering advanced AI eCommerce Insights to brands, retailers, and marketplaces from any source, covering any category, at any time.
• The company empowers strategic decision-making across pricing, sales performance, retail media, and marketplace intelligence with its highly actionable, scalable, and precise data offerings.
• Bright Data enables growth in the dynamic e-commerce landscape with personalized support and seamless integration, leveraging its trusted reputation and advanced AI technologies.

Company Specialties:

• Business Intelligence
• eCommerce insight
• Big Data
• Competitive analysis
• Shoppers demographic
• Conversion to sale
• Trending product
• Market share
• Shopping journey
• Shopping cart analysis
• Consumer behavior
• eCommerce analytics
• Insight for amazon
• Market intelligence

Company Website: https://brightdata.com/products/insights

ASSUMPTION: The company context provided is based on the information available from Bright Data's LinkedIn profile. However, some details may have been simplified or combined for clarity and formatting.

📊 Role Analysis

Career Level: This role is at the mid-level management career stage, requiring a combination of strategic thinking, technical expertise, and leadership skills.

Reporting Structure: The AI Product Marketing Manager will likely report directly to the VP of Marketing or a similar role, working closely with cross-functional teams such as Product, Sales, and Growth.

Work Arrangement: This role offers remote work options, with flexible hours and a full-time employment status.

Growth Opportunities:

• As Bright Data continues to grow, there may be opportunities for the AI Product Marketing Manager to take on additional responsibilities or move into a leadership role.
• The company's focus on innovation and AI-driven solutions may present opportunities for the candidate to expand their skillset and expertise.
• Bright Data's mid-sized structure allows for close collaboration with senior leadership, providing mentorship and growth opportunities.

ASSUMPTION: The role analysis provided is based on the information available from the job description and industry standards. However, some details may vary depending on the specific organization and its structure.

🌍 Location & Work Environment

Office Type: Bright Data's headquarters is located in Netanya, Israel, with a hybrid work environment that offers remote work options.

Office Location(s): 4 HaMahshev Street, Netanya, Center District, Israel

Geographic Context:

• Netanya is a coastal city in central Israel, located approximately 30 kilometers north of Tel Aviv.
• The city offers a mix of urban and beachside living, with a population of around 200,000 people.
• Netanya has a Mediterranean climate, with mild winters and hot, dry summers.

Work Schedule: The work schedule for this role is full-time (40 hours per week) with flexible hours and remote work options.

ASSUMPTION: The location and work environment provided are based on the information available from Bright Data's LinkedIn profile and the job description. However, some details may vary depending on the specific office location and work arrangement.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening with the HR department
• Technical interview with the hiring manager or a team member
• On-site or virtual interview with senior leadership
• Background check and offer extension

Key Assessment Areas:

• Understanding of AI/ML and data infrastructure
• Product marketing experience and go-to-market strategy development
• Storytelling and content creation skills
• Ability to work in a fast-paced, high-growth environment
• Cultural fit and alignment with Bright Data's values

Application Tips:

• Highlight your relevant experience in AI, data, or SaaS product marketing in your resume and cover letter.
• Demonstrate your understanding of AI/ML and data infrastructure in your application materials.
• Showcase your storytelling and content creation skills through examples or a portfolio.
• Tailor your application to emphasize your ability to work in a fast-paced, high-growth environment and your cultural fit with Bright Data.

ATS Keywords: AI, Product Marketing, Data, SaaS, GTM Strategies, Sales Enablement, Market Research, Competitive Positioning, Messaging, Storytelling, Content Creation, Customer Interviews, Collaboration, Technical Marketing, Data Infrastructure, AI Model Training

ASSUMPTION: The interview and application insights provided are based on industry standards and the information available from the job description. However, some details may vary depending on the specific company and its hiring process.

🛠️ Tools & Technologies

• Marketing automation tools (e.g., HubSpot, Marketo)
• Customer relationship management (CRM) software (e.g., Salesforce, HubSpot CRM)
• Project management tools (e.g., Asana, Trello)
• Data visualization tools (e.g., Tableau, Power BI)
• AI/ML platforms (e.g., TensorFlow, PyTorch)
• Data infrastructure tools (e.g., Apache Kafka, AWS Kinesis)

ASSUMPTION: The tools and technologies listed are based on industry standards and the information available from the job description. However, some details may vary depending on the specific company and its tech stack.

👔 Cultural Fit Considerations

Company Values:

• Innovation
• Collaboration
• Customer-centricity
• Integrity
• Excellence

Work Style:

• Fast-paced and dynamic
• Data-driven and analytical
• Collaborative and team-oriented
• Adaptable and flexible

Self-Assessment Questions:

• How do you align with Bright Data's values of innovation, collaboration, and customer-centricity?
• How do you approach working in a fast-paced, high-growth environment?
• Can you provide an example of a time when you had to adapt to a significant change or challenge in your role?

ASSUMPTION: The cultural fit considerations provided are based on industry standards and the information available from Bright Data's LinkedIn profile. However, some details may vary depending on the specific company and its culture.

⚠️ Potential Challenges

• Navigating a fast-paced, high-growth environment with a complex, multi-product portfolio
• Balancing strategic thinking with day-to-day tactical execution
• Working with cross-functional teams and stakeholders to align on messaging and positioning
• Keeping up with the latest trends and developments in AI/ML and data infrastructure

ASSUMPTION: The potential challenges listed are based on the information available from the job description and industry standards. However, some details may vary depending on the specific company and its work environment.

📈 Similar Roles Comparison

• Compared to other AI Product Marketing Manager roles, this position may require a stronger focus on data infrastructure and AI data acquisition.
• Bright Data's focus on eCommerce insights may present unique challenges and opportunities compared to other AI-focused companies.
• As a mid-sized company, Bright Data may offer more opportunities for growth and collaboration compared to larger enterprises or smaller startups.

ASSUMPTION: The role comparison provided is based on industry standards and the information available from the job description. However, some details may vary depending on the specific company and its structure.

📝 Sample Projects

• Developing a go-to-market strategy for a new AI training dataset product
• Conducting market research to refine AI buyer personas and identify pain points
• Creating a competitive positioning framework to differentiate Bright Data in the AI data ecosystem

ASSUMPTION: The sample projects listed are based on the information available from the job description and industry standards. However, some details may vary depending on the specific company and its product portfolio.

❓ Key Questions to Ask During Interview

• How does this role fit into Bright Data's overall product marketing strategy?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does Bright Data support the professional development and growth of its product marketing team members?
• What are the biggest challenges facing the AI data ecosystem, and how does Bright Data plan to address them?
• How does Bright Data measure the success of its product marketing efforts, and what are the key performance indicators (KPIs) for this role?

ASSUMPTION: The key questions to ask during the interview are based on industry standards and the information available from the job description. However, some details may vary depending on the specific company and its hiring process.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant experience in AI, data, or SaaS product marketing, as well as your understanding of AI/ML and data infrastructure.
• Prepare examples or a portfolio showcasing your storytelling and content creation skills.
• Follow up with Bright Data's HR department one week after submitting your application to confirm receipt and inquire about next steps.

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