Product Manager Personalization Job at Circle K (Warszawa)

Ai Discovery + Web Personalization Product Manager (Agentic Web Lead)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn)
4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
Proven ability to translate AI-driven customer experiences into clear requirements, guardrails, and scalable operating models (assistants, decisioning, retrieval, or adjacent systems)
Strong understanding of structured data (Schema.org), page semantics, content extractability, and how AI/answer systems retrieve, rank, and reference content
Strong understanding of information architecture, modular content systems, funnels, attribution considerations, and Core Web Vitals

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale
Run AI discovery, AEO (Answer Engine Optimization) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO (Search Engine Optimization), content, and engineering as answer engines change
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals
Ensure personalization platform reliability: Define SLAs, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve

Fulltime

AI Discovery + Web Personalization Product Manager (Agentic Web Lead)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, project management, or related experience OR equivalent experience.
Master's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, project management, or related experience OR Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 8+ years of marketing operations, program management, project management, or related experience OR equivalent experience.
3+ years technology/process improvement experience.

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale.
Run AI discovery (AEO - Answer Engine Optimization) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO (Search Engine Optimization), content, and engineering as answer engines change.
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals.
Ensure personalization platform reliability: Define Service Level Agreements, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics.
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops.
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable.
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes.
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve.

Fulltime

Staff Product Manager, AI Personalization

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

200000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of industry experience with a BS/Masters OR 6+ years with a PhD, with deep expertise in AI/ML-powered platforms at consumer scale
Strong working knowledge of personalization systems, contextual data retrieval, and LLM architectures - you can engage credibly with ML engineers on topics like RAG, retrieval optimization, and context engineering tradeoffs
Track record of building and shipping foundational platform products that power multiple downstream experiences and surfaces
Experience designing and interpreting A/B experiments and online experiment frameworks
ability to own end-to-end metrics strategy for complex AI systems
Strong capacity to synthesize ambiguous signals into clear, prioritized product decisions
Proven cross-functional leadership: able to align ML, engineering, data science, design, and operations teams around a shared vision
Experience shipping consumer-facing AI products with personalization at the core
Sharp product intuition for when AI automation should give way to human judgment, and how to design systems that make that transition seamless
Ability to work at multiple levels of abstraction - from the architecture of a retrieval system to the experience of a guest trying to resolve a cancellation dispute

Job Responsibility

Contribute towards the long-term vision for building 10-star, personalized community support, building a platform where our AI understands each guest and host the way their best human advocate would, and responds accordingly
Partner with data science, ML, and operations to identify new high-signal personalization signals to serve user needs
Own the product roadmap across ML models, signals, schemas, and prompt optimization to ensure the right information reaches the model in the most effective form
Drive personalization experiment design and measurement: define KPIs (self-solve rate, personalization coverage, citation accuracy), lead experiment design, and translate results into clear product decisions
Collaborate with ML engineers to shape requirements for accuracy, latency, and scalability improvements
Scale personalization infrastructure across Airbnb's AI surfaces, ensuring the platform is extensible enough to serve each modality's unique needs
Build a framework for continuous improvement: define how the team identifies personalization failures, prioritizes fixes, and systematically closes the gap between AI and human agent performance
Collaborate across engineering, ML, design, data science, and policy to build consensus on prioritization, drive cross-functional alignment, and ship with rigor from concept to production

What we offer

bonus
equity
Employee Travel Credits

Fulltime

Sr. Product Manager - Web Personalization (Agentic Web)

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, technical product management or related experience OR equivalent experience
3+ years technology/process improvement experience
8+ years in web personalization, SEO/AEO, or digital experience roles, with demonstrated ownership of roadmaps and measurable outcomes
Understanding of information architecture, modular content systems, funnels, attribution constraints, and Core Web Vitals
2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
Experience with content modeling, metadata/taxonomy design, and modular design systems that support dynamic assembly at scale
Understanding of privacy, consent, and data minimization principles for personalization, measurement, and AI-assisted experiences

Job Responsibility

Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale
Run AI discovery (AEO) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO, content, and engineering as answer engines change
Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals
Ensure personalization platform reliability: Define SLAs, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics
Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops
Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable
Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes
Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve

Fulltime

Product Manager, Relevance and Personalization

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States , San Francisco

Salary:

232000.00 - 282000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

10+ years of product management experience, with at least 3 years on ML, search, recommendations, or AI-powered products at scale
Track record of owning strategy and roadmap for technically complex systems — not just managing features, but setting direction and making hard prioritization calls
Strong experimentation fluency: comfortable designing A/B tests, interpreting counterfactual results, and reasoning about proxy metrics vs. long-term outcomes
Experience working on two-sided marketplaces or platforms where you balanced supply-side and demand-side tradeoffs
Ability to earn the respect of Staff and Principal-level engineers and researchers — you don't need to write code, but you need to engage at a level that builds credibility
Clear, structured communicator who can distill complex technical tradeoffs for executives and translate strategic intent into actionable guidance for engineers
Experience with LLM-based products in production — ideally involving evaluation challenges, latency constraints, or safety and guardrail work (preferred)
Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks in a product context (preferred)
Background working alongside applied researchers or with teams that publish externally (preferred)

Job Responsibility

Define and drive the roadmap for Airbnb's relevance and personalization platform — from natural language query understanding to multi-turn, context-aware discovery experiences
Make prioritization calls that balance multiple competing objectives: guest experience, host success, revenue, fairness, and marketplace health
Partner with ML engineers and applied researchers to shape model strategy, evaluation frameworks, and experimentation design
Align cross-functional partners — Guest, Host, MarTech, Trust & Safety, Customer Support — on shared goals and sequencing
Drive the Tripcycle vision: ensuring R&P's intelligence layer connects across the full trip lifecycle, from inspiration through post-trip
Design and oversee A/B experiments with rigorous metric design and long-term effect measurement
Translate complex technical tradeoffs into clear decisions for engineering teams and concise narratives for leadership
Foster an environment where engineers and product managers collaborate on building the future
Stay close to guests and hosts: synthesize user research, marketplace data, and competitive signals to sharpen your intuition and refine strategy

What we offer

Bonus
Equity
Employee Travel Credits

Fulltime

Senior Manager, Product Manager - Bank Teller Platform

Senior Manager, Product Manager - Bank Teller Platform. Product Management at Ca...

Location

United States , New York; McLean; Philadelphia; Wilmington

Salary:

200700.00 - 249900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 5 years of experience working in Product Management
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Driving the strategy and vision for transforming vendor solutions into flexible, scalable internal capabilities to help the associates in our in-person locations thrive
Reimagining in-person servicing and expanding current platforms to meet the unique needs of the areas we serve

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

Manager, Product Manager - Retail Bank Funding, Onboarding & Engagement Experiences

Product Management at Capital One is a booming, vibrant craft that requires reim...

Location

United States , New York; McLean; Philadelphia; Wilmington

Salary:

144000.00 - 197200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Working with a cross-functional team to help customers unlock the most value from their accounts
Ensuring customers can fund and get set up after account opening
Making sure we continue to meet customer needs in the moments that matter
Figuring out where and how we can optimize and personalize our experiences by leveraging real-time, intelligent data and running experiments
Delivering game-changing outcomes by focusing on leverage and execution excellence
Leveraging technology to deliver innovative and resilient solutions
Identifying and resolving complex problems to deliver outcomes while mitigating product risks
Leading cross functional teams to solve customer problems and drive organizational alignment

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior Product Manager, Growth & Product Marketing

As the Senior Product Manager for Growth & Product Marketing, you will lead the ...

Location

United States , Los Angeles

Salary:

128000.00 - 170000.00 USD / Year

Fox Corporation

Expiration Date

Until further notice

Requirements

6 to 8 years of product management experience
At least 3 years leading growth or acquisition-related work
Deep experience optimizing product funnels and conversion workflows across multiple platforms
Proven ability to deliver measurable growth through experimentation and product iteration
Familiarity with CRM tools, in-product marketing tech, and messaging infrastructure
Strong cross-functional collaboration skills with marketing, design, engineering, and analytics
Experience using data to shape strategy, prioritize initiatives, and evaluate performance
Ability to think strategically while executing quickly and iteratively
Passion for building seamless, engaging growth experiences that drive long-term user value

Job Responsibility

Own and lead the growth product roadmap, with a focus on acquisition, activation, engagement, and retention
Optimize subscription funnel performance and conversion across mobile, web, and living room platforms
Design and iterate on onboarding flows, registration UX, and in-app upsell mechanics
Build personalized journeys through lifecycle messaging, recommendations, and promotions
Partner with marketing and CRM to launch in-product campaigns and cross-channel engagement
Run A/B tests and multivariate experiments to validate ideas and improve key growth metrics
Work closely with data science to define KPIs, measure performance, and build predictive growth models
Develop infrastructure to support lifecycle communications via push, email, and in-app surfaces
Leverage behavioral data and user research to continuously improve growth strategy

What we offer

medical/dental/vision
insurance
a 401(k) plan
paid time off

Fulltime

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Product Manager Personalization

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