Product Marketing Manager (Senior/Lead) ID38139

📌 Core Information

🔹 Job Title: Product Marketing Manager (Senior/Lead) ID38139

🔹 Company: AgileEngine

🔹 Location: Godoy Cruz, Mendoza, Argentina

🔹 Job Type: Full-time

🔹 Category: Marketing

🔹 Date Posted: 2025-07-10

🔹 Experience Level: 5-10 years

🔹 Remote Status: On-site (Hybrid)

🚀 Job Overview

Key aspects of this role include:

• Crafting end-to-end go-to-market plans for new AI features
• Cross-functional leadership and collaboration
• Driving executional rigor and operationalization
• Market and consumer intelligence, performance optimization, and experimentation

ASSUMPTION: This role requires a strong understanding of AI/ML technologies and their application in consumer-facing products, as well as excellent communication and analytical skills.

📋 Key Responsibilities

✅ AI Product GTM & Launch Excellence: Craft end-to-end GTM plans for new AI features, including segmentation, value propositions, positioning, and launch KPIs; Create enablement toolkits to empower brand and regional teams to launch consistently and at scale.

✅ Cross-Functional Leadership: Act as the connective tissue between Product, Data Science, Enterprise Marketing Technology, Creative, and Brand teams to ensure AI features are fit-for-purpose and brand-right; Present recommendations and results to senior leadership and influence investment and prioritization decisions.

✅ Bias for Action and Operationalization: Drive executional rigor by transforming strategic AI initiatives into concrete workplans with clear owners, timelines, and KPIs—ensuring pilots quickly move from test to scale; Champion MVP thinking and fast-cycle experimentation to accelerate feature deployment, reduce time-to-value, and continuously refine AI-driven experiences based on real user feedback.

✅ Market & Consumer Intelligence: Track emerging AI trends and competitive benchmarks, translating insights into opportunity assessments and POVs.

✅ Performance Optimization and Experimentation: Define success metrics and test-and-learn roadmaps (A/B & multivariate) to iteratively improve adoption, engagement, and conversion of AI experiences; Partner with Product and Data Science to surface actionable insights and feed them back into roadmaps.

ASSUMPTION: This role requires a high level of autonomy and the ability to work effectively with cross-functional teams to deliver results.

🎯 Required Qualifications

Education: Bachelor's degree (MBA or advanced degree in marketing, analytics, or a related field is advantageous)

Experience: 5+ years in product marketing, growth marketing, or digital product management with at least 2 years focused on AI/ML-driven products (e-commerce, martech, adtech, or SaaS preferred)

Required Skills:

• Working knowledge of common AI techniques and consumer-facing use cases
• Strong analytical mindset: comfortable defining KPIs, interpreting experimentation results, and connecting insights to GTM actions
• Storytelling prowess: able to distill complex technology into clear narratives, messaging, and training content for non-technical stakeholders
• Experience in beauty, luxury retail, or high-consideration consumer categories (passion for the space and customer empathy are must-haves)

Preferred Skills:

• Upper-Intermediate English level

ASSUMPTION: Candidates with relevant industry experience and a proven track record of launching or scaling AI-powered experiences will be prioritized.

💰 Compensation & Benefits

Salary Range: The salary range for this position is $80,000 - $120,000 USD per year, based on experience and industry standards for the role and location. This estimate is subject to change based on the final assessment of the candidate's qualifications and the company's compensation structure.

Benefits:

• Professional growth with mentorship, TechTalks, and personalized growth roadmaps
• Competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects with modern solutions development and top-tier clients
• Flextime with the option to work from home and go to the office

Working Hours: Full-time position with standard working hours (40 hours per week) and flexible scheduling options.

ASSUMPTION: The salary range provided is an estimate based on industry standards and the company's compensation structure. The final salary offer will be determined based on the candidate's qualifications and experience.

📌 Applicant Insights

🔍 Company Context

Industry: AgileEngine is a software development company specializing in AI/ML, application development, and data solutions. They work with Fortune 500 brands and trailblazing startups across 17+ industries.

Company Size: AgileEngine has 1,001-5,000 employees, providing a large and diverse work environment with ample opportunities for growth and collaboration.

Founded: AgileEngine was founded in 2010 and is headquartered in the Miami, FL area. They have offices in multiple countries, including Argentina, Ukraine, and the United States.

Company Description:

• AgileEngine is a privately held company that ranks among the fastest-growing US companies on the Inc 5000 list and the top 3 software developers in DC on Clutch.
• The company offers a complete range of services, from dedicated remote teams to onsite consulting, and works with VC startups and renowned tech brands.
• AgileEngine has a portfolio of two proprietary products that revolutionize the work of thousands of developers at companies like Mercedes and Samsung.

Company Specialties:

• Outsourcing
• Software Development
• Data Solutions
• Design Solutions
• Staff Augmentation
• Cybersecurity Solutions
• AI/ML
• UI/UX Design
• Big Data
• Backend
• Frontend
• Mobile Development
• Marketing
• Java
• Salesforce
• Data Analysis
• Business Management
• Project Management

Company Website: agileengine.com

ASSUMPTION: AgileEngine's diverse client base and range of services provide ample opportunities for professional growth and exposure to various industries and technologies.

📊 Role Analysis

Career Level: This role is a senior/lead position, requiring a high level of experience and expertise in product marketing and AI/ML-driven products.

Reporting Structure: The Product Marketing Manager will report directly to the Head of Product Marketing and work closely with cross-functional teams, including Product, Data Science, Enterprise Marketing Technology, Creative, and Brand.

Work Arrangement: This is a hybrid role, requiring on-site work at the AgileEngine office in Godoy Cruz, Mendoza, Argentina, with the option to work from home.

Growth Opportunities:

• Mentorship and professional development opportunities
• Exposure to a wide range of projects and industries
• Potential for career progression within the marketing department or the company

ASSUMPTION: This role offers significant growth opportunities for the right candidate, both in terms of professional development and career advancement.

🌍 Location & Work Environment

Office Type: AgileEngine's office in Godoy Cruz, Mendoza, Argentina, is a modern and collaborative workspace designed to foster creativity and productivity.

Office Location(s): Godoy Cruz, Mendoza, Argentina

Geographic Context:

• Godoy Cruz is a city in the province of Mendoza, Argentina, known for its wine production and tourism.
• The city offers a high quality of life, with a mild climate, beautiful landscapes, and a rich cultural scene.
• Mendoza is a major hub for technology and innovation in Argentina, with a thriving startup ecosystem and numerous opportunities for professional growth.

Work Schedule: The work schedule for this role is full-time, with standard working hours and flexible scheduling options. The specific work schedule will be determined based on the candidate's availability and the team's needs.

ASSUMPTION: The work environment at AgileEngine's Godoy Cruz office is collaborative, innovative, and focused on driving results through cross-functional teamwork and continuous learning.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening with the HR department
• Technical interview with the Head of Product Marketing
• On-site or virtual interview with the hiring manager and relevant team members
• Final decision and offer

Key Assessment Areas:

• AI/ML knowledge and understanding
• Analytical and problem-solving skills
• Communication and presentation skills
• Cultural fit and alignment with AgileEngine's values

Application Tips:

• Highlight relevant AI/ML experience and achievements in your resume
• Prepare examples of successful AI product launches or campaigns
• Demonstrate your understanding of the beauty, luxury retail, or high-consideration consumer categories
• Showcase your ability to translate complex technology into clear and engaging narratives

ATS Keywords: AI/ML, product marketing, go-to-market strategy, cross-functional leadership, bias for action, operationalization, market intelligence, performance optimization, experimentation, beauty, luxury retail, high-consideration consumer categories

ASSUMPTION: The interview process at AgileEngine is designed to assess the candidate's technical skills, cultural fit, and alignment with the company's values and objectives.

🛠️ Tools & Technologies

• AI/ML platforms (e.g., TensorFlow, PyTorch, AWS SageMaker)
• Data analysis and visualization tools (e.g., Tableau, Power BI)
• Marketing automation and analytics tools (e.g., Marketo, Google Analytics)
• Project management tools (e.g., Jira, Asana)

ASSUMPTION: The specific tools and technologies used in this role will depend on the projects and clients AgileEngine is working with at the time.

👔 Cultural Fit Considerations

Company Values:

• Customer-centricity
• Innovation and continuous learning
• Collaboration and teamwork
• Integrity and transparency
• Work-life balance

Work Style:

• AgileEngine values a collaborative and inclusive work environment, with a focus on open communication and active listening.
• The company encourages continuous learning and professional development, with regular training opportunities and mentorship programs.
• AgileEngine promotes a healthy work-life balance, with flexible scheduling options and a focus on employee well-being.

Self-Assessment Questions:

• Do you have a strong passion for the beauty, luxury retail, or high-consideration consumer categories?
• Are you comfortable working in a fast-paced, dynamic environment with a high degree of autonomy and collaboration?
• Do you thrive in a culture that values continuous learning, innovation, and open communication?

ASSUMPTION: AgileEngine's company culture is focused on driving results through collaboration, innovation, and a customer-centric approach. Candidates who are passionate about their work, committed to continuous learning, and able to thrive in a dynamic and inclusive work environment will be the best fit for this role.

⚠️ Potential Challenges

• Managing multiple projects and priorities simultaneously
• Working with cross-functional teams and stakeholders with varying levels of AI/ML expertise
• Keeping up with the latest AI/ML trends and technologies
• Balancing the need for innovation and experimentation with the need for consistent and scalable product launches

ASSUMPTION: The challenges associated with this role are primarily related to the fast-paced and dynamic nature of the AI/ML industry, as well as the need to balance innovation and experimentation with consistent and scalable product launches.

📈 Similar Roles Comparison

• This role is unique in its focus on AI/ML-driven products within the beauty, luxury retail, or high-consideration consumer categories.
• Compared to other product marketing roles, this position requires a deeper understanding of AI/ML technologies and their application in consumer-facing products.
• Career progression in this role may involve moving into a leadership or management position within the marketing department or the company.

ASSUMPTION: This role is unique in its focus on AI/ML-driven products within the beauty, luxury retail, or high-consideration consumer categories, and offers significant growth opportunities for the right candidate.

📝 Sample Projects

• Developing a go-to-market strategy for a new AI-powered shade-finding copilot feature for a beauty brand
• Launching an AI-driven predictive replenishment system for a luxury retail client, optimizing inventory management and reducing stockouts
• Creating an enablement toolkit for a regional team to launch a dynamic bundling AI feature, including messaging frameworks, demo scripts, and training decks

ASSUMPTION: The specific projects the Product Marketing Manager will work on will depend on the clients and products AgileEngine is working with at the time.

❓ Key Questions to Ask During Interview

• Can you describe the typical AI/ML projects AgileEngine works on, and how this role would contribute to their success?
• How does AgileEngine support the professional development and growth of its employees, particularly in the marketing department?
• What is the company's approach to balancing innovation and experimentation with consistent and scalable product launches?
• How does AgileEngine measure the success of its AI/ML-driven products, and how would this role contribute to that process?
• What is the company's culture like, and how does it support a healthy work-life balance?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process will help candidates better understand the role, the company, and the cultural fit.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Highlight your relevant AI/ML experience and achievements in your resume
• Prepare examples of successful AI product launches or campaigns for your cover letter
• Demonstrate your understanding of the beauty, luxury retail, or high-consideration consumer categories in your application materials
• Follow up with the hiring manager one week after submitting your application to inquire about the status of your application

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