דרושים » מוצר » Product Manager - AI

This role is a Fixed-Term Contract - Maternity Leave Replacement, and it sits within our Native Performance team, reporting directly to the Director of Product, Amplify. The Native Performance team sits at the heart of Teads' advertiser offering. Our mission is to enable performance-focused advertisers to reach their audiences through high-quality native formats (including in-feed, in-article, and banner placements) on the open internet. We drive measurable outcomes by combining native formats with smart automation, AI-powered optimization, and campaign tooling through the Amplify platform.

Core Mission: Join us on a fixed-term basis (covering a maternity leave) to drive the development, optimization, and scaling of Amplify's native performance capabilities.
Team Alignment: Partner hand-in-hand with agile engineering squads, product designers, data scientists, and business stakeholders to turn ambitious ideas into seamless platform features.
Scope of Ownership: Take full ownership of the Native Performance feature roadmap-guiding features from initial discovery and scoping to shipping and post-launch optimization.
Impact Metric: Success in this role means maintaining pipeline velocity, shipping key AI and automation initiatives on schedule, and ensuring a seamless transition and continuous feature adoption across global commercial teams during the coverage period.
What will you do?

Strategy & Innovation
Orchestrate AI & Automation Features: Lead the development of smart, automated capabilities within Amplify, such as automated campaign creation, dynamic setup recommendations, and predictive performance alerts.
Analyze Market Trends: Conduct competitive analysis and track industry shifts within native and performance advertising to champion new feature opportunities.
Challenge the Status-Quo: Adopt our collaborative product mantra ("You build it, you run it, you monitor it"), bringing a pragmatic, solution-driven mindset to propose bold platform improvements.
Execution & Flawless Delivery
Own the Amplify Roadmap: Manage and prioritize the feature backlog, tracking milestones, dependencies, and delivery risks for the Native Performance agile squad.
Translate Needs into Specs: Write clear, concise product requirements, user stories, and functional specifications for our development teams.
Lead Agile Ceremonies: Direct sprint planning, review sessions, and blameless retrospectives, serving as a senior product voice within your agile squad.
Stakeholder Management & Collaboration
Drive Worldwide Feature Rollouts: Partner with product marketing and campaign management teams to ensure smooth, global rollouts of new features, tracking adoption and measuring incremental outcomes.
Align Cross-Functional Squads: Collaborate with Sales, Account Management, Data Science, and Marketing to build consensus and keep teams aligned around a unified product vision.

Were looking for an experienced Product Analytics Manager to play a key role as part of the Product organization. The Product Analytics Manager will lead the domain and work closely with Product, R&D, Sales and Marketing, Customer Success, and BI to drive data-informed product and business decisions.
Key Responsibilities
Define product success metrics, usage benchmarks, and adoption KPIs across products and customer segments, ensuring alignment with clinical and business impact goals.
Own the end-to-end product analytics framework - including event design, tracking strategy, data validation, and ongoing data quality monitoring.
Perform hands-on deep-dive analyses, working directly with raw data and collaborating with R&D and BI to ensure robust data models, pipelines, and instrumentation.
Partner with Customer Success and BI to deliver customer-centric insights and support the evolution of the product data infrastructure.
Build dashboards and analytical models to support product and business decision-making, evaluate feature performance, and establish a continuous feedback loop between user behavior and product development - using data-driven insights to challenge assumptions and prioritize high-impact roadmap initiatives.
Quantify the clinical and economic impact of solutions by analyzing real-world encounter data to validate key performance markers such as reduction in cost of care, improved patient outcomes, and product utilization.
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders.
Provide professional leadership in analytics, including team management (if applicable) and contributing to the growth of the analytics function.