7Miles Global logo

Director of Product Development, Ad Solutions

7Miles Global
Department:Product Owner
Type:REMOTE
Region:USA
Location:United States
Experience:Director
Estimated Salary:$150,000 - $200,000
Skills:
SAAS PLATFORM MANAGEMENTAPI INTEGRATIONAI/MLSQLA/B TESTINGETLDATA PIPELINESREST/GRAPHQL APISWEBHOOKSDATA WAREHOUSINGEVENT-DRIVEN ARCHITECTURESJIRACONFLUENCEMARKET RESEARCHFINANCIAL ANALYSISPRICING ANALYSIS
👁️ Views: 12🚀️ Applied: 2
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Job Description

Posted on: May 27, 2026

ABOUT THE ROLE

7Miles Global Ad Solutions is seeking a strategic, data-driven Director of Product Development to own and evolve our advertising platform and monetization suite. This role spans three interconnected domains: (1) management of our core ad SaaS platform and its external and internal data integrations; (2) product direction and API validation for the payroll system redevelopment underway at our internal payroll company; and (3) leadership of AI feature development and governance across the product portfolio. A dedicated project manager will own delivery execution on the payroll redevelopment. This PM's mandate is to define requirements, validate output, and ensure the new system integrates with the SaaS platform via a secure, efficient, and well-documented API. Assessment of the internal distribution system to ensure state of art positioning and SaaS integration. This is a high-ownership role for someone who leads through influence, communicates with precision, and holds systems and teams to a high standard.

PLATFORM ECOSYSTEM

This PM owns the product strategy and integration health across the following data ecosystem:

  • Internal Systems: Asset Distribution Co., Payroll System (redevelopment)
  • 7Miles Ad SaaS: Core Platform, AI Layer
  • External Data Sources: 3rd-Party Data Partners, Ad Tech Integrations

WHAT YOU'LL OWNSAAS PLATFORM & INTEGRATIONS

  • Define and drive the product roadmap for the core ad SaaS platform, balancing near-term delivery with long-term scalability and data architecture health
  • Own the integration strategy: design, prioritize, and oversee data connections with internal systems (asset distribution and payroll) and external third-party data providers
  • Work closely with engineering and data teams to define API contracts, data schemas, and integration SLAs, ensuring reliable, low-latency data flows across the ecosystem
  • Identify and resolve data quality, mapping, and reconciliation challenges at integration boundaries
  • Manage vendor relationships for third-party data integrations: evaluate partners, negotiate terms, and track performance
  • Own key platform metrics; fill rate, data freshness, integration uptime, and hold teams accountable to outcomes

PAYROLL SYSTEM - PRODUCT DIRECTION & API VALIDATION

  • Act as the product authority representing 7Miles' SaaS platform needs throughout the payroll system redevelopment. A separate project manager owns day-to-day delivery execution
  • Define and document the API requirements the new payroll system must meet: data structure, authentication standards, rate limits, error handling, and payload specifications
  • Validate that development milestones meet SaaS integration requirements, reviewing API designs, testing data flows, and accepting or rejecting deliverables against agreed criteria
  • Ensure the integration design meets security standards: enforce principles of least privilege, encrypted data in transit and at rest, audit logging, and access control on all payroll data touchpoints
  • Serve as the escalation point for integration-related blockers or scope conflicts between the payroll project team and the SaaS platform engineering team
  • Collaborate with compliance and legal to ensure payroll data handling within the SaaS platform meets applicable regulatory requirements

AI DEVELOPMENT & GOVERNANCE

  • Lead the identification, prioritization, and delivery of AI-powered features, including predictive targeting, automated reporting, anomaly detection, and intelligent recommendations
  • Partner with data science and engineering to define model requirements, evaluation criteria, and deployment standards for AI/ML features
  • Establish roadmap for future improvements to, and integration across all delivery platforms utilizing AI frameworks
  • Establish and maintain an AI governance framework: model transparency, bias monitoring, data usage policies, and responsible AI practices across all product surfaces
  • Track the evolving regulatory landscape around AI in advertising (EU AI Act, FTC guidelines) and translate requirements into product guardrails
  • Build internal literacy around AI capabilities and limitations, creating documentation, decision frameworks, and training for cross-functional teams

CROSS-FUNCTIONAL & GTM

  • Build and maintain alignment across a matrixed org, presenting roadmap updates, trade-off decisions, and post-launch learnings to executives and stakeholders
  • Support go-to-market efforts with sales enablement materials, internal training, and external product narrative
  • Mentor and provide guidance to junior PMs or associate product staff as the team scales

WHAT WE'RE LOOKING FOR

  • 5–9 years of product management experience spanning SaaS platforms, data integrations, and cross-functional stakeholder environments; ad tech or martech background strongly preferred
  • Demonstrated experience owning API integration requirements: writing API specs, defining authentication and security standards, and validating implementation against documented criteria
  • Experience acting as a product liaison or integration owner on a large system redevelopment - able to represent business and technical requirements without owning delivery execution
  • Strong working knowledge of API security best practices: OAuth/token-based auth, TLS encryption, least-privilege access, audit logging, and secure data handling for sensitive payroll or financial data
  • Fluency in AI/ML product development: you can scope AI features, evaluate model outputs, and communicate trade-offs between accuracy, latency, cost, and fairness
  • Working knowledge of AI governance principles: bias monitoring, explainability, data lineage, model monitoring, and experience operationalizing responsible AI policies
  • Fluency in integration patterns: REST/GraphQL APIs, webhooks, ETL pipelines, data warehousing, and event-driven architectures - you spec them, engineers build them
  • Strong analytical foundation: comfortable writing SQL, interpreting A/B test results, and building business cases from ambiguous data
  • Experience navigating compliance requirements around payroll, financial data, or sensitive PII in a connected systems context
  • Exceptional communication and influence skills; able to drive alignment without direct authority across separate business entities and project teams
  • Ability manage and translate technical details to customer-facing communication, write use cases and product requirements
  • Fluency with project management tools such as MS Project, Jira, Confluence
  • Experience in owning and managing projects, displaying strong leadership and facilitation skills
  • Experience in strategic, financial and pricing analysis
  • Experience in market research
  • Strong written and verbal communication skills, including presentation skills
  • Problem solver with a solution/implementation focus
  • Demonstrated independent, proactive behaviors, including ability to handle challenging situations with minimum guidance
  • High degree of flexibility, adaptability and conflict management skills
  • Able to effectively communicate product vision through the organization

CORE SKILL PROFILE

  • Technical & Analytical: SQL / data querying • A/B testing •API specs & contracts• ETL / data pipelines •ML model evaluation • RTB / programmatic
  • Product Craft: Roadmap prioritization • Integration PRDs •Requirements validation • AI feature scoping •OKR setting • Agile / scrum
  • Governance & Compliance: Responsible AI policy • Bias & fairness monitoring •Payroll data compliance • Secure data handling •Data privacy / GDPR
  • Influence & Leadership: Executive communication • Cross-entity alignment •Vendor management • AI literacy building •PM and developer mentorship
Originally posted on LinkedIn

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👁️ Views: 12🚀️ Applied: 2
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