Director of Product, Solution Implementation

Responsibilities

• Partner with Enterprise Account Executives as the technical authority on high-value opportunities and licensing solutions for global brands, agencies and ecosystem partners.
• Conduct deep-dive technical discovery sessions with client Engineers and Data Science teams to map a client’s business needs to Predactiv’s technical capabilities.
• Design and present robust solution architectures, integration blueprints, and data-flow diagrams for prospective clients.
• Serve as the technical leader for strategic deployments, establishing the engineering processes, validation checklists, and architectural standards that internal teams and third-party integrators must execute against.
• Act as the premier technical escalation point for integration blockers, treating every issue as a data point to refine our standard deployment process.
• Engineer repeatable frameworks for introducing early-stage product features, alphas, and betas to strategic clients, ensuring structured feedback loops that drive successful product rollouts.
• Partner with Product and Engineering to build early-stage data models and pipeline prototypes, using alpha/beta feedback to refine requirements.
• Balance custom client demands with core solution scale, choosing repeatable, creative configurations over bespoke, tech-debt-heavy features.
• Translate complex field challenges into structured technical requirements to ensure engineering builds scalable, platform-wide solutions.

Requirements

• Experience: 8+ years in a client-facing technical role (e.g., Principal Solutions Architect, Principal Sales Engineer, Data Scientist or Technical Account Manager).
• AdTech & Ecosystem Mastery: Expert understanding of programmatic infrastructure (DSPs/SSPs), data clean rooms, identity resolution frameworks, and performance media metrics (e.g., lift, match rates, ROAS).
• Data Architecture & Engineering: Strong proficiency in SQL, data modeling, big data environments, and complex integrations and real-time streaming feeds.
• Ability to read production code and write custom scripts to validate technical PoCs.
• Agentic AI & Claude Proficiency: Hands-on experience deploying autonomous, multi-step AI agents and workflows utilizing Anthropic’s Claude ecosystem. Advanced prompt engineering and scripting skills used specifically to automate data validation and accelerate product prototyping.
• Process Engineering: Proven capability to diagnose recurring, manual technical interventions and codify them into repeatable system workflows.