Product Security Analyst Jobs

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview: Sony Interactive Entertainment (PlayStation) is seeking a Senior Commercial Manager to shape, lead, and scale strategic e-commerce initiatives across the global Direct to Consumer business. You will identify and size growth opportunities, turn customer, market, competitive, and trade data into clear commercial choices, and influence product direction. You will lead initiatives from validation through launch, adoption, optimization, and transfer into sustainable business ownership. You will be accountable for the quality of the commercial recommendation and the measurable outcome. Working with Product, Engineering, Merchandising, Marketing, Analytics, Data Science, Finance, Legal, and Operations, you will establish the evidence required to act, challenge assumptions, and align senior stakeholders around customer and commercial value. This role requires senior commercial judgment and strong hands-on analytical capability. It is not a Data Scientist or project coordination position. What you'll be doing: Drive strategy initiatives in Direct-to-Consumer by identifying the commercial problem, influencing product roadmap and owning pilot and execution. Turn complex data into commercial decisions using BI tools, Query Large Data Sets and advanced design of

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Are you interested in jump-starting your career in sales, but need hands-on training to set you up for success? As a Sales Development Representative at Bazaarvoice, you will be part of a team whose mission is to spearhead the sales process with market-data driven prospecting, creative problem solving, and leveraging product knowledge. We provide world-class training to get you confidently up to speed. Driving pipeline, shadowing complex sales cycles and collaborating with experienced Account Directors are all part of a day’s work. What You'll Do: Building and maintaini

About the Team At Trendyol Growth, we align pricing, discount, and marketing strategies to drive sustainable and scalable growth. We work cross-functionally with teams like Product, Category, and Operations to uncover opportunities and deliver impact. With a strong learning culture and data-driven mindset, we grow together — as individuals and as a team. We are seeking a strategic and highly experienced Marketing Communications Professional to lead our brand, content, and communication efforts across the CEE region. In this role, you will define the brand strategy and orchestrate the execution of the annual marketing calendar, ensuring a consistent and impactful message across all channels. Acting as a central link between cross-functional teams and external agencies, you will leverage market opportunities and data-driven insights to elevate the customer experience and drive business growth in an international setting. Responsibilities Responsible for brand marketing, content creation, and communication efforts within CEE region. Support setting the brand strategy and own the execution of the annual marketing calendar for defined markets and categories. Analyze competitors and industry best practices on brand marketing efforts and content creation. Work closely with creative, media, and event agencies, as well as other third parties, to develop & lead projects and campaigns end to end. Proactively explore and utilize market opportunities for the benefit of the brand. Work closely with all relevant marketing teams (media, digital, influencer, CRM, creative) to ensure consistency of the brand message in every channel. Help set the style, tone, and language of content by analyzing existing data and watching regional competitors. Guard the localization practices across comms channels, support & audit locally relevant content creation. Expected Qualifications Bac

The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes. We're seeking an SE3 to join our team to tackle exciting challenges within the Observability space. You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases. This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board! We are looking to speak to candidates who are based in Dublin for our hybrid working model. We're looking for someone who Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend Has written backend systems in a compiled language (Java, C#, Go, etc.) Has experience with the design and architecture of a modern, scalable web application Is familiar with debugging and troubleshooting production issues Strong understanding of algorithms, data structures and their time and space complexity Nice to Haves Experience developing and writing code observability tools Previous work in T

About the job Debug the high-speed interfaces that decide whether advanced AI systems perform in the real world. As a Validation and Debug Engineer, you will help prove Graphcore silicon and platforms work across real product conditions. You will build deep knowledge of our devices, boards and system behaviour. You will own hands-on validation and debug in the lab, focused on SerDes, PCIe Root Complex and Ethernet. Your work will help resolve complex issues across silicon, hardware, firmware and architecture teams. This role is for someone who enjoys getting close to the hardware. You will tune links, investigate failures and turn difficult lab findings into clear engineering decisions. The team and culture You will work closely with Architecture, Silicon Engineering, Hardware Engineering and Firmware. Progress comes through practical evidence, clear communication and fast problem solving. The team expects ownership without daily oversight. You will drive bring-up, debug issues and help teams reach decisions based on data. You will be trusted to speak up when something is unclear or risky. The best ideas can come from anyone close to the problem. What we’re looking for · Strong hands-on hardware validation experience, including board bring-up and subsystem debug · Experience validating and debugging Ethernet, PCIe Root Complex and SerDes systems · Confident use of lab instrumentation, including oscilloscopes, BERT systems, VNA/TDR equipment and PCIe protocol analysers · Ability to debug signal integrity, protocol-level and interface issues through to root cause · Experience with PCIe bring-up, LTSSM analysis, link training, equalization tuning and interoperability testing · Ability to work independently, take responsibility and drive issue resolution across teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how you

Data Architect, AI and Supply Chain Insights Description - Job Summary We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases. The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption. A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design. Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder. The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions Responsibilities Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption. Partner with busi

The purpose of this role is to ensure the highest standards of quality across the solar cell manufacturing process by driving quality assurance, process control, defect analysis, continuous improvement initiatives, and compliance with product specifications. The role is responsible for maintaining product reliability, reducing manufacturing defects, improving yield, and supporting operational excellence to achieve business objectives within the Cell Manufacturing function. Source: Adani Group | Job ID: 59309

The purpose of this role is to ensure the highest standards of quality across the solar cell manufacturing process by driving quality assurance, process control, defect analysis, continuous improvement initiatives, and compliance with product specifications. The role is responsible for maintaining product reliability, reducing manufacturing defects, improving yield, and supporting operational excellence to achieve business objectives within the Cell Manufacturing function. Source: Adani Group | Job ID: 59306

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Rider Science team is seeking an Applied Scientist intern to develop next-generation user simulation methods using state of the art AI methods. The goal of this project is to develop and validate LLM-based Rider Agents that can serve as behavioral proxies for real riders, and study when agent simulations can provide reliable signal about rider responses to product interventions before online experimentation. You will build agent-based simulation systems grounded in real rider context and behavioral data, evaluate their fidelity against observed rider behavior and historical experiments, and study where these simulations can accelerate product iteration and experimentation. This role combines LLM engineering, agent-based modeling, machine learning, and causal inference with direct applications to real-world rider products. The expected outcome is to build a working Rider Agent simulation prototype, establish an evaluation framework for measuring simulation fidelity and validate the framework using historical rider experiments. Responsibilities: Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions Build evaluation pipelines to assess realism, robustness, and mechanism plausibility of simulated behavior against human data or established theory Analyze emergent behaviors and interaction dynamics in simulated populations under different user segment and marketplace conditions Conduct experiments and ablation studies on agent behavior, interaction dynamics, and simulation validity Apply the simulation framework to real Rider product problems and assess its usefulness for hypothesis generation, product iteration

About the Team The Enterprise Marketing team helps the world’s largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product Marketing, Customer Success, Events, and executive leadership to create programs that accelerate strategic customer growth and strengthen OpenAI’s position as the leader in enterprise AI. Within Enterprise Marketing, the Field Marketing team is responsible for translating business priorities into high-impact customer engagement motions across industries, regions, and strategic accounts. We build and run programs that create pipeline, accelerate opportunities, deepen executive relationships, and bring OpenAI’s latest innovations directly to enterprise decision-makers. About the Role As an Enterprise Field Marketer, you will be a growth partner to Enterprise Sales, owning field marketing programs that create pipeline, accelerate strategic opportunities, and deepen relationships with priority enterprise accounts. You will own the full program lifecycle: translating sales priorities into field plans, identifying the right accounts and moments, executing high-quality customer programs, driving follow-up with sellers, and measuring business impact. This is a hands-on role for someone who can move from territory strategy to tactical execution quickly, with strong commercial judgment and high accountability for outcomes. This role is based in San Francisco, CA or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Travel is expected for customer events, executive programs, industry conferences, and internal planning moments. In this role, you will: Build and execute field marketing plans aligned to priority seller groups, strategic accounts, industries, and regions. Partner closely with Sales leadership on account prioritization, territory planning, outreach strategy, pipeline goals, and follow-through. Own the full lifecycle of field program

About the Team The Business Marketing team helps organizations understand, adopt, and get value from OpenAI’s products. We work across product marketing, content, creative, and web to connect what our technology can do with the needs of the people and businesses using it. About the Role We’re looking for a Web Strategist Lead to shape the customer journey across openai.com . You’ll help audiences ranging from individual developers to large enterprises discover what’s possible, find relevant information, and take the right next step. You’ll think through the full experience: how people arrive, explore products and use cases, learn through content, and move toward getting started or speaking with OpenAI. You’ll shape how navigation, content, and storytelling connect across the site, including deeper pages and transitions into product and sale-led experiences. This is a senior individual contributor role focused on audience needs, product understanding, and experience strategy. You’ll partner with Web, Design, Content, Product Marketing to build, test, and improve these journeys. This role is based in San Francisco and in office three days a week. In this role, you will: Define audience journeys. Understand visitors’ needs and create paths from discovery and learning through evaluation, adoption, and deployment. Connect the website experience. Shape navigation, information architecture, and connections across products, use cases, stories, and resources, wherever someone enters the site. Guide content and storytelling. Identify what visitors need at each stage and partner with Content and Creative to build understanding as people explore deeper. Connect self-service and human support. Make it easy to explore independently, get started, or reach the right OpenAI team when a conversation would help. Turn strategy into shipped work. Create journey maps, experience briefs, and rough wireframes. Partner with Web on a long-term roadmap and stay involved through delivery. Impr

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for experienced, product-focused software engineers for our Driver Earnings Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers. As a Software Engineer for Driver Earnings, you will lead multiple work streams that improve drivers' experience with rideshare. In addition, you will focus on incentivizing drivers to prefer Lyft, building differentiated pay products and features for the thing that drivers care the most about - their earnings. As an engineer on our team, you'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to increase the adoption & usage of Lyft. Responsibilities: Partner with product managers, engineers, and operators to build driver earnings related infrastructure and products. Design and analyze experiments; communicate results and act on launch decisions Work with cross-functional partners in the Driver Experience and Marketplace so earnings related data is available and usable by the various systems that need this data. Work on tooling that makes it easier to make changes to driver earnings related configurations. Experience: Degree in Computer Science or Computer Engineering (advanced degrees preferred), or relevant work experience Proficiency in SQL - able to write structured and efficient queries on large data sets Experience in programming, especially in Python and/or Golang (preferred but not required) Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners B

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰£79,900 - £95,000 + Incentive Awards tied to your performance + Benefits ✨ Our Credit Oversight team⭐ Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Risk Oversight team is growing with it - and we’re looking for a Credit Risk Oversight Manager to join us! Our Credit Risk Oversight team is crucial in providing support and challenge to our Borrowing teams in the first line of defence to help Monzo grow safely. We’re looking for someone (maybe you?!) with proven experience in consumer credit risk who likes getting into the details and analysing data to deliver independent assurance - and challenge - of credit risk management across the lifecycle. Ideally you’ll have experience and in-depth knowledge of retail unsecured or small business credit risk strategy within financial services. You’ll have seen first-hand how a credit portfolio performs at different stages of the credit cycle, and have hands-on experience in shaping or overseeing lending strateg

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Closing Date 1st November 2026 📍London | 💰 £42,500 pro rata | Data | L10 on the Data Framework Data at Monzo We have over 300 employees in Data at Monzo. Data is at the heart of Monzo's journey and our work defines the success and direction of the business. That means, similar to the rest of Monzo, Data too should be magically simple. We have a strong culture of data-driven decision making across the whole company and use data in everything we do; from machine learning models to detect and block fraudulent payments to analysing how customers use the app to improve our app design. We're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. We contribute to an open source environment as much as possible. Our blog is a good place to learn even more about what we do. Data Interns As a Data intern at Monzo, you’ll be matched with a team where you’ll spend the summer working on a real project for our customers. You’ll have the opportunity to work alongside Data teams to learn more about what Data we analyse and how we use it to solve

Sr. Software Developer Sureify drives customer engagement between the customer and their insurance company by incorporating web & mobile apps into the insurance product experience. Our product is controlled by our backend dashboard, so insurers can get the latest iOT data streaming in. The SaaS platform is designed to ensure that insurers never miss opportunities to increase engagement with their existing customer base. We are looking for a Full Stack Web Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. On the backend, you will have the opportunity to help our product scale and be involved in the further architecture of the Sureify platform. Responsibilities Design, develop, and maintain robust web applications using React on the frontend and Golang/Typescript/PHP on the backend. Build reusable code and libraries for future use Build a scalable architecture to support millions of users. Design schema migrations, optimize complex queries, and manage data integrity in MySQL. Ensure the technical feasibility of UI/UX designs Work closely with the UI/UX designers and product managers Identify and resolve performance bottlenecks across the stack, from frontend rendering to database indexing Write clean, maintainable code and participate in rigorous peer code reviews to ensure long-term system stability. Collaborate with other team members and stakeholders. Proven ability to explain complex technical concepts clearly to developers. Mentor junior engineers, conduct code reviews, and foster an inclusive, collaborative environment. Skills And Qualifications 3+ years of exper