VP of Product

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.

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As a rapidly scaling Series A startup that raised $34 million in funding, we're proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth.

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About the role

This role demands a leader adept at integrating AI technology within the Improvado product, with a focus on AI agents for data engineering.

The CPO will drive the company towards innovative solutions and market leadership.

Responsibilities:

• Product and Technology Leadership: Lead the development and delivery of technology and products, specifically focusing on the Improvado AI data platform and AI agents capable of data engineering tasks.
• Team Management: Hire, manage, and develop a team comprising Product Managers, QA specialists, Machine Learning Engineers, and Engineers.
• Operations Management: Implement methodologies like Scrum, Agile, or Lean for product development.
• Performance Tracking: Monitor team performance and foster innovation.
• Strategic Vision: Develop a technical strategy aligned with the company’s overall business objectives.
• Company Representation: Promote the company’s technical endeavors through public engagement.

Requirements:

• AI and Data Expertise: Experience in AI assistant development, data pipelines, analytics, and data quality.
• Marketing Analytics: Experience in marketing analytics, marketing attribution, and Media Mix Modeling (MMM).
• Data Engineering: Experience in building data pipelines and understanding data modeling, Kimball models, etc.
• Product Management: Skills in go-to-market strategies, customer discovery, and customer feedback.

Nice to have Skills:

• Reinforcement Learning from Human Feedback (RLHF): Ability to collect datasets and implement from-human-feedback processes. Fine-tuning AI models is a plus.
• Robotics and Planning: Knowledge in robotics, task decomposition, planning, and developing intelligent agents.
• Ontologies or Graph Databases: Experience with ontologies or graph databases.
• Customer-Centric Mindset: Develop customer-centric products and experiences.
• Prior Startup Experience: Familiarity with the startup environment.
• Negotiation Skills: Effective communication with stakeholders.
• Problem-Solving Abilities: Tackle complex problems creatively.
• Technical Proficiency: Advanced skills in Testing, DevOps, MVP, and API development.
• Experience with Enterprise Customers: Familiarity with the needs and dynamics of enterprise customers, with the ability to cater to their specific requirements.
• Strategic Thinking: Capability to plan for scaling the company.

What We Offer

• Remote-first environment 
• Competitive compensation 
• Stock options
• Generous PTO
• Paid holidays 
• Professional development reimbursement

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