דרושים » תוכנה » Games Designer

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

Required Product Manager
About the role:
We've taken a platform-first, builder mindset from day one, developing the modular building blocks we call pillars. Our users are exceptional engineers who continuously build creative and unexpected solutions with our platform. Being a PM here means embracing that creative tension while staying relentlessly focused on where the platform needs to go next.
As a PM, you'll own a pillar end-to-end alongside your team of engineers and designers. You'll build and evolve it as a standalone value stream and as a connected part of the broader platform. PMs are full picture owners: they shape the story of their pillar from market positioning to technical enablement, defining success not just by what gets shipped, but by the measurable impact it delivers.
What you'll do:
Define what to build and why. Go deep with customers, analyze usage data, and research the competitive landscape. Bring that view to your team, build a sharp perspective on what's worth building next, and communicate the reasoning to engineering, leadership, and the market.
Shape experiences engineers choose to use. our developer experience spans the entire ecosystem across the UI, API, CLI, and daily chat and coding interfaces. Work closely with design and engineering to make each surface deliberate, from the first wireframe through launch.
Drive cross-functional impact. PMs don't hand off and wait. You work across engineering, design, marketing, sales, and CS throughout the full product cycle, accountable for picking the right problem, the solution built, and whether the launch lands.
Build for agents and developers. We are the context and action layer for both. Shape your domain so agents can act on it reliably and developers can navigate it intuitively. Understand the tradeoffs in how data, APIs, and interfaces serve both. Separate the signal from the hype, and use that view to sharpen your roadmap.
Measure what matters. Define success metrics before you ship. Track adoption, analyze what's landing, and iterate until the outcome is real.

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.


Key Job Responsibilities and Duties:

Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Adhere to and promote established best practices in GenAI application development within the team.

Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

As a software developer in this role, you will have the opportunity to design and deliver the development of engaging features for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, youll learn a lot, have fun and make a positive impact on millions of people.

We are looking for a talented Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of leading and delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to take ownership, be proficient technically, mentor and grow junior developers, encourage software development best practices, and iterate quickly.

Key job responsibilities
- Design, build, test, and operate features for the Interests experience across web and mobile surfaces.
- Deliver end-to-end solutions with focus on maintainability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Understand latest trends in mobile technology and work across Amazon mobile teams.
- Build AI-powered experiences including personalized updates, relevance explanations, and contextual recommendations.
- Implement analytics events and experiment configurations to measure engagement and retention.
- Relish the idea of solving problems and be comfortable with a degree of ambiguity thats higher than most projects.

We are looking for a mission-driven Product Group Lead to own Acquire, our core product. We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the Product Group Lead for Acquire, you will be accountable for everything Acquire: strategy, roadmap, execution, and business outcomes. Acquire turns our predictive models into the conversion signals that drive smarter bidding on Google, Meta, and other channels, which means you will be operating at the intersection of predictive modeling, ad platform mechanics, and the daily reality of performance marketing teams.
Reporting directly to the CTO, you will lead a group of three Product Managers, setting direction, raising the bar on product craft, and growing them as practitioners. This is a player-coach role: you will own the group's strategy and its people, while staying close enough to the product to make sharp calls on scope, model behavior, and customer trade-offs yourself.
A defining part of this role is your partnership with Operations. Today, a lot of what makes Acquire work is carried by our Operations team working alongside our AI engine. You will embed with them, understand their day-to-day in real detail, and productize it: turning manual and repetitive work into scalable, agent-driven capabilities so we can scale even further.

a Product Manager role at a company scaling fast, working behind the scenes of some of the biggest live events in the world. Your decisions here actually move the needle. You'll dig into real problems alongside engineering, design, and customer success, and see your work shape a platform used by thousands of people around the world every single day. If you're motivated, eager to take real ownership, and ready to grow alongside a team that's just getting started - this is your moment.

What You'll do
Define and execute the product roadmap in alignment with company objectives and market demands.

Collaborate with cross-functional teams, including engineering, design, sales, and customer success, to deliver high-quality product solutions.

Conduct market research and analyze industry trends to identify opportunities for innovation and improvement.

Gather and prioritize product requirements based on customer feedback, business goals, and data analysis.

Develop detailed product specifications, user stories, and acceptance criteria.

Work closely with the engineering team to ensure timely delivery of features and improvements.

Monitor product performance, identify areas for enhancement, and drive continuous optimization.

Act as the voice of the customer, ensuring that product decisions align with user needs and expectations.

Were looking for an experienced Product Manager to join our Web Shop group. Our Web Shop is a strategic e-commerce platform that serves as a premium destination for our players, offering exclusive content and advanced loyalty rewards. We are looking for a professional with a high-ownership mentality who is data-driven, execution-oriented, and thrives in a high-scale, collaborative environment. As a Product Manager, youll lead the product lifecycle within our web shop ecosystem and make a direct impact on millions of players worldwide.
Responsibilities
Lead the success and growth of the Web Shop by developing a product vision, strategy, roadmap and lifecycle management framework and seek opportunities for key initiatives to improve the customer experience.
Gather and analyze requirements, write clear and detailed PRDs, UI/UX flows, wireframes, define A/B tests and user stories, prioritize backlogs and handle development/engineering.
Own the success of the feature once its released to production by running tests and optimizing performance and business results.
Collaborate with relevant cross-functional teams (R&D, Design, BI/BA, etc) to guarantee a smooth and efficient implementation.

As a Senior Machine Learning Engineer, you will work closely with top notch engineers and data scientists to design, develop, evaluate and deploy Gen AI-powered solutions for scalable, customer-facing applications. Your work will focus on building and applying state-of-the-art agentic capabilities to drive business impact and improve efficiency.



Key Job Responsibilities and Duties:

Design, develop, and deploy high-quality, performant, and efficient Generative AI-powered solutions and agentic systems into production environments.

Evaluate and define optimal architectural solutions by considering emerging technologies, business needs, and technical requirements for latency, throughput, and scale.

Own services end-to-end, including implementing robust monitoring and maintenance strategies to ensure application and ML health, quality, and performance.

Write and maintain clean, scalable, and well-tested production code, ensuring reproducibility and seamless integration via CI/CD pipelines.

Pioneer and promote best practices and the adoption of cutting-edge technology in GenAI application development.

Collaborate effectively with Product Managers, Data Scientists, and Analysts to understand business requirements and translate them into technical ML and agentic solutions.

Provide technical guidance and mentorship to other engineers, contributing to the team's overall technical development.

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.



Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

We are seeking an exceptional individual contributor with an entrepreneurial and a can-do approach to join us as a Senior Ads-Operation Manager. Join us if you would like to:

Join a winning team - Partner with two ad tech veterans with over 20 years of experience
Join a winning culture - Work in a fun, proactive, and inclusive environment
Join a winning enterprise - A well-funded, profitable start-up with a sustainable growth rate.
Join a winning opportunity - be a real driving force within a company and design its ad ops strategy to create a true impact on clients revenue.
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Key Responsibilities:
Drive the growth of our SSP partnerships by providing exceptional client service.
Develop and implement revenue growth plans and strategies for our top-tier SSP partnerships.
Become highly knowledgeable about Carlibas supply, technology, and product offerings.
Serve as the primary point of contact for Carlibas programmatic partners worldwide.
Gain expertise in Carlibas marketplace integrations and partner relationships.
Collaborate with programmatic partners and the product team to continuously enhance products.