Product Marketing Manager (Senior/Lead) ID38139

📌 Core Information

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

🔹 Company: AgileEngine

🔹 Location: Rosario, Santa Fe, Argentina

🔹 Job Type: Full-time, Hybrid

🔹 Category: Marketing

🔹 Date Posted: July 10, 2025

🔹 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 to ensure AI features are fit-for-purpose and brand-right
• Driving executional rigor and operationalization of AI initiatives
• Conducting market and consumer intelligence to inform strategy
• Optimizing AI experience performance through experimentation and iteration

ASSUMPTION: This role requires a strong understanding of AI/ML technologies and their application in consumer-facing use cases. Candidates should be comfortable working with technical teams and translating complex technology into clear narratives.

📋 Key Responsibilities

✅ Craft end-to-end go-to-market plans for new AI features, including segmentation, value propositions, positioning, and launch KPIs

✅ Create enablement toolkits to empower brand and regional teams to launch AI features consistently and at scale

✅ Act as a 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

✅ Drive executional rigor by transforming strategic AI initiatives into concrete workplans with clear owners, timelines, and KPIs

✅ 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

✅ Track emerging AI trends and competitive benchmarks, translating insights into opportunity assessments and POVs

✅ 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 collaboration and communication with various teams. Candidates should be comfortable working in a cross-functional environment and navigating complex stakeholder relationships.

🎯 Required Qualifications

Education: Bachelor's degree required (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 their application in 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 (or passion for the space and customer empathy)
• Upper-intermediate English level

Preferred Skills:

• Experience working with large language models, recommender systems, or computer vision
• Familiarity with beauty, luxury retail, or high-consideration consumer categories

ASSUMPTION: Candidates with experience in AI/ML-driven products and a strong analytical mindset will be most successful in this role. Familiarity with beauty, luxury retail, or high-consideration consumer categories is a plus but not required.

💰 Compensation & Benefits

Salary Range: The salary range for this role is $80,000 - $120,000 USD per year, based on experience and qualifications. This estimate is derived from market research and industry standards for similar roles in Argentina.

Benefits:

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• Exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive

Working Hours: Full-time, with flexible hours and a hybrid work arrangement (2-3 days in the office per week)

ASSUMPTION: The salary range provided is an estimate based on market research and industry standards for similar roles in Argentina. Actual compensation may vary based on the candidate's experience and qualifications.

📌 Applicant Insights

🔍 Company Context

Industry: AgileEngine is a software development company specializing in AI/ML, application development, and digital transformation. 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 Boca Raton, Florida, with offices in multiple countries, including Argentina.

Company Description:

• AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries
• They rank among the leaders in areas like application development and AI/ML and have earned multiple Best Place to Work awards
• AgileEngine offers a people-first culture with a focus on professional growth, mentorship, and work-life balance

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
• Python

Company Website: agileengine.com

ASSUMPTION: AgileEngine's focus on AI/ML and application development makes it an attractive option for candidates interested in working with cutting-edge technology and high-profile clients.

📊 Role Analysis

Career Level: This role is a senior-level 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 Marketing and work closely with cross-functional teams, including Product, Data Science, Enterprise Marketing Technology, Creative, and Brand teams.

Work Arrangement: This role follows a hybrid work arrangement, with 2-3 days in the office per week and the remaining days working remotely.

Growth Opportunities:

• Mentorship and professional development opportunities
• Exposure to a wide range of projects and clients, allowing for continuous learning and skill development
• Potential for career progression within the marketing or AI/ML teams

ASSUMPTION: This role offers significant growth opportunities for candidates looking to advance their careers in product marketing or AI/ML-driven products.

🌍 Location & Work Environment

Office Type: AgileEngine's office in Rosario, Argentina, is a modern and collaborative workspace designed to foster creativity and innovation.

Office Location(s): AgileEngine's main office is located in Rosario, with additional offices in other cities and countries.

Geographic Context:

• Rosario is the third-largest city in Argentina, located in the province of Santa Fe
• The city is known for its rich cultural heritage, vibrant nightlife, and beautiful architecture
• Rosario offers a high quality of life, with a moderate cost of living compared to other major cities in Argentina

Work Schedule: Full-time, with flexible hours and a hybrid work arrangement (2-3 days in the office per week)

ASSUMPTION: Rosario, Argentina, provides a dynamic and culturally rich environment for professionals, with a moderate cost of living and a strong focus on work-life balance.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening with the HR team
• Technical interview with the Marketing team
• Final interview with the Head of Marketing

Key Assessment Areas:

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

Application Tips:

• Highlight your experience with AI/ML-driven products and any relevant industry experience
• Tailor your resume and cover letter to emphasize your analytical, communication, and problem-solving skills
• Prepare examples of your work that demonstrate your ability to craft go-to-market plans, create enablement toolkits, and optimize AI experience performance

ATS Keywords: AI product marketing, AI/ML-driven products, go-to-market strategy, enablement toolkits, performance optimization, cross-functional leadership, market and consumer intelligence, experimentation, iteration

ASSUMPTION: AgileEngine's interview process is designed to assess candidates' technical skills, cultural fit, and alignment with the company's values. Successful candidates will demonstrate a strong understanding of AI/ML technologies and their application in consumer-facing use cases, as well as excellent communication and analytical skills.

🛠️ Tools & Technologies

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

ASSUMPTION: Familiarity with AI/ML tools and platforms, as well as marketing automation and project management tools, will be beneficial for candidates applying for this role.

👔 Cultural Fit Considerations

Company Values:

• People-first: AgileEngine prioritizes the well-being and growth of its employees
• Quality-driven: AgileEngine is committed to delivering high-quality solutions that meet or exceed client expectations
• Innovation-focused: AgileEngine encourages creativity, continuous learning, and the exploration of new technologies and approaches

Work Style:

• Collaborative: AgileEngine fosters a culture of teamwork and cross-functional collaboration
• Adaptable: AgileEngine values employees who are flexible, resilient, and able to thrive in a dynamic and ever-changing environment
• Results-driven: AgileEngine prioritizes outcomes and impact, with a focus on delivering meaningful results for clients and stakeholders

Self-Assessment Questions:

• Do you thrive in a collaborative and cross-functional work environment?
• Are you comfortable working with complex technology and translating it into clear narratives for non-technical stakeholders?
• Do you have a strong analytical mindset and a results-driven approach to your work?

ASSUMPTION: Candidates who align with AgileEngine's values and work style will be most successful in this role. Self-assessment questions are designed to help candidates evaluate their fit with the company's culture and work environment.

⚠️ Potential Challenges

• Navigating a large and diverse organization with multiple teams and stakeholders
• Balancing the need for strategic thinking with the requirement for operational excellence and executional rigor
• Keeping up with the rapid pace of change in the AI/ML landscape and adapting go-to-market strategies accordingly
• Managing the expectations and priorities of multiple teams and stakeholders, including senior leadership

ASSUMPTION: These challenges are inherent to a role that requires cross-functional leadership, strategic thinking, and operational excellence in a dynamic and ever-changing environment.

📈 Similar Roles Comparison

• This role is unique in its focus on AI product go-to-market excellence and cross-functional leadership within the beauty, luxury retail, or high-consideration consumer categories
• Similar roles in other industries may have a broader focus on digital product marketing or growth marketing, with less emphasis on AI/ML-driven products
• Career progression in this role may lead to senior marketing leadership positions within AgileEngine or other organizations

ASSUMPTION: This role offers a unique opportunity for candidates interested in working with AI/ML-driven products in the beauty, luxury retail, or high-consideration consumer categories. Similar roles in other industries may have a broader focus or less emphasis on AI/ML technologies.

📝 Sample Projects

• Developing a go-to-market strategy for a new AI-driven shade-finding copilot feature for a beauty brand
• Creating an enablement toolkit to empower regional teams to launch a new AI-driven predictive replenishment feature for a luxury retail client
• Optimizing the performance of an AI-driven dynamic bundling feature through experimentation and iteration, leading to a 15% increase in conversion rates

ASSUMPTION: These sample projects are designed to illustrate the types of initiatives the Product Marketing Manager may work on, highlighting the role's focus on AI product go-to-market excellence, cross-functional leadership, and performance optimization.

❓ Key Questions to Ask During Interview

• Can you describe the current go-to-market strategy for one of AgileEngine's AI-driven products, and how it has evolved over time?
• How does the Marketing team collaborate with other departments, such as Product and Data Science, to ensure AI features are fit-for-purpose and brand-right?
• What opportunities are there for professional growth and development within the Marketing team or AgileEngine more broadly?
• How does AgileEngine approach experimentation and iteration in the development and launch of new AI features?
• What is the work-life balance like for employees in this role, and how does AgileEngine support work-life balance initiatives?

ASSUMPTION: These interview questions are designed to help candidates better understand the role, the company, and the work environment, allowing them to make an informed decision about their application.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the AgileEngine careers portal
• Tailor your resume and cover letter to highlight your experience with AI/ML-driven products, your analytical and communication skills, and your alignment with AgileEngine's values and work style
• Prepare examples of your work that demonstrate your ability to craft go-to-market plans, create enablement toolkits, and optimize AI experience performance
• Follow up with the AgileEngine HR team 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.