דרושים » תוכנה » Product Analytics Manager

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.

We are looking for a highly driven and hands-on Senior Product Manager to scale RewardGum, our rapidly growing consumer rewards platform.
On RewardGum, users earn real money by engaging with games, taking surveys, completing partner offers, and referring friends. We have achieved strong early traction, and we need an experienced growth product leader to take us to the next level.
In this role, you will own the end-to-end user journey- from a users first click to their first cash-out and beyond. You will focus on optimizing onboarding, offer selection, task completion, reward tracking, payouts, repeat usage, and referral loops. You will build a seamless, rewarding, and highly trustworthy user experience while driving aggressive growth metrics.
Responsibilities:
Own the User Journey: Manage the full product lifecycle for RewardGum, taking ownership of activation, retention, engagement, monetization, and referral loops.
Drive Growth & Experimentation: Lead funnel analysis, identify bottlenecks, and run continuous A/B tests to optimize conversion rates at every stage of the user journey.
Execute with Speed: Adopt a practical, hands-on mindset. Define and ship MVPs quickly, learn from the data, iterate rapidly, and scale what works.
Build Trust: Design transparent, frictionless experiences around reward tracking, offer completion, and the cash-out process to ensure users trust the platform.
Collaborate Cross-Functionally: Partner closely with Marketing, Data, Engineering, Design, Partnerships, Support, and Compliance teams to align efforts and deliver cohesive product updates.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are seeking a hands-on technical leader to architect and lead the development of production LLM-based applications. This role will lead a cross-functional team of software engineers and data scientists and will own architecture, delivery, evaluation, observability, and production readiness.



The ideal candidate is a proven software leader who has delivered complex production-grade systems and can align engineering, data science, product, and platform work into one cohesive execution model. The role requires strong software architecture, applied AI judgment, disciplined execution, and people leadership, with a focus on turning ambiguous product goals and exploratory AI work into reliable production software.



Responsibilities:

Lead a cross-functional team of engineers and data scientists developing LLM-based applications.
Translate product and business goals into technical roadmaps, milestones, and deliverable plans.
Own end-to-end delivery from architecture and experimentation through deployment, monitoring, evaluation, and continuous improvement.
Design LLM workflows using RAG, tool calling, structured outputs, agents, deterministic logic, and human-in-the-loop patterns where appropriate.
Establish evaluation-driven development practices for LLM features.
Define quality metrics, regression tests, golden datasets, production feedback loops, and observability standards.
Ensure systems meet production standards for scalability, performance, reliability, security, and maintainability.
Provide technical guidance, architectural oversight, mentorship, and career development for team members.
Manage priorities, scope, risks, and trade-offs across multiple streams of work.
Partner with product, design, DevOps, data engineering, security, and other technical leaders.
Drive continuous improvement in delivery quality, engineering practices, and team effectiveness.


We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.
Requirements

We are looking for a Senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.

What will you do?
As a Senior Data Scientist, your mission will be to:

Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads global publisher network.