Product Manager - Prospect Data Teams

Role Overview

Product Manager – Prospect Data Teams at Constructor (Remote, Anywhere in the World). You will drive product strategy across two teams—Prospect Data Solutions and Prospect UI Solutions—focused on accelerating and scaling Constructor’s pre-sales success.

Your mission is to reduce time-to-value for prospects by transforming raw prospect data into compelling business cases and automated proof-of-concept demos, while enabling Sales and Account Executive (AE) teams with self-service tools, reports, and narratives.

Responsibilities

A. Pre-Sales Automation & Velocity (Data Solutions focus)

• Proof Schedule Optimization: Own the end-to-end prospect data integration and proof schedule creation process; improve velocity and reduce cycle time.
• Data Strategy & Scaling: Define roadmaps for systems that gather high-quality catalog data and behavioral events from prospects.
• Develop automated JavaScript code and utilities for live data collection.
• Engineer Automation: Identify repetitive engineering tasks and prioritize automation using advanced technologies (e.g., LLMs and agents) so the process scales without linear resource growth.

B. Business Case & Results Optimization (Analyst focus)

• AI Model Fine-Tuning: Define tooling and processes that help teams work closely with AEs to fine-tune AI models for each prospect’s needs.
• Analytical Tools & Reporting: Build tools, reports, and dashboards for better data-driven demos, including business case reporting and forecasts for revenue/conversion lift.
• Storytelling & Examples: Create systems that make it easier to identify strong examples and help AEs tell better stories.
• Product Improvement: Use data exploration and analysis (e.g., SQL, Python) to understand user behavior and identify improvements for core recommendation/search systems.

C. Internal Enablement & Cross-Functional Collaboration

• Sales Self-Service: Build internal tooling that enables Sales/AEs to handle more proof schedule tasks, reducing dependencies on Engineering and Data Analysts.
• Stakeholder Alignment: Collaborate to align stakeholders (Sales, Engineering, Data, and Product) on goals and execution.

Requirements

• Product leadership across systems that transform prospect data into pre-sales outcomes (business cases, demos, proof schedule workflows).
• Ability to define data roadmaps for collecting catalog and behavioral event data.
• Strong analytical and tooling mindset to build reporting/dashboards and support AI model tuning and demo effectiveness.

Nice-to-haves

• Experience building automation workflows involving LLMs/agents.
• Hands-on data analysis skills with SQL and Python.
• Ability to develop or specify JavaScript utilities for live data collection.
• Experience enabling non-technical stakeholders (AEs/Sales) with self-service tools and narratives.