Director of Product, Solution Implementation

ShareThis; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

ShareThis is seeking a Director of Product, Solution Implementation to bridge data product strategy with enterprise consulting and architecture. An individual contributor role, you will own end‑to‑end data strategy from pre‑sales to post‑sales activation, partnering with sales, product, and engineering to scope large deals and prototype next‑gen data features.

You will drive rapid time‑to‑value, secure long‑term client retention, and guide scalable deployments across global accounts, shaping the

Qualifications

• 8+ years in a client-facing technical role (e.g., architect, sales engineer, TAM).
• Expert understanding of programmatic infrastructure (DSPs/SSPs) and data clean rooms.
• Strong SQL, data modeling, big data environments, and real-time integrations.
• Experience deploying autonomous AI agents and Claude ecosystem workflows.
• Translate client challenges into repeatable, scalable data solutions.

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.

Skills

SQL

Data modeling

Big data environments

Real-time streaming

AI workflows

Tools

Anthropic Claude

Job description

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.

Implementation Governance

• 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.

Next‑Gen Product Innovation

• 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.