Serve as an individual-contributor product leader bridging data product strategy, technical consulting, and enterprise architecture. Own end-to-end data strategy from pre-sales solutioning through post-sales activation, design solution architectures, lead implementation governance, resolve integration blockers, and prototype next-gen data models and agentic AI features to inform the product roadmap and accelerate client time-to-value.
The Director of Product, Solution Implementation is an elite, individual contributor operating at the intersection of data product strategy, technical consulting, and enterprise architecture.
Serving as a trusted advisor to our highest-value enterprise accounts, you will own the end-to-end data strategy—from pre-sales solutioning through post-sales activation. In this role, you will act as a critical bridge: enabling sales to scope large deals, driving rapid time-to-value to secure long-term client retention, and spearheading next-generation data product prototyping to directly inform the product roadmap.
Responsibilities:Strategic Solution Architecture & Sales Engineering- 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.
- 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.
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