At Klaviyo, the Sales team prides themselves on being marketing and product experts. While most companies hire pre sales Solutions Engineer to just give demos, fill out questionnaires, and only explain setups, that makes us yawn. As a pre sales Solution Engineer for our Enterprise Sales team, you will be responsible for facilitating long term, deep relationships with the prospects to help drive our market-leading position in the owned marketing space.

So what do we do as Solution Engineers? We work directly with our prospective and existing customers to build technical champions, and help envision how Klaviyo could be used and integrated within our prospects’ and customers' tech stacks. We dive deep, take a consultant-first mindset, and develop solutions that ensure long term success for our customers. We use these engagements as an opportunity to learn, prototype, and ship meaningful improvements to the Klaviyo experience. We look for interesting problems and aim for solutions that are extensible and reusable.

A few things our team has recently built as part of our engagements include: 

• Write integration specifications for customers hosting their eCommerce stores on non-standard platforms, ensuring seamless data flow while maintaining platform integrity
• Modified the Magento extension codebase to accommodate specialized data sync requirements, demonstrating our ability to adapt core integrations
• Developed a new integration for Demandware from scratch, showcasing our capability to expand Klaviyo’s ecosystem of partners
• Built Klaviyo's first ever public chrome extension, which allows anyone (marketer or developer) to troubleshoot and audit their front end API calls being sent to Klaviyo more easily.  

If you’re a creator that gets excited by driving technical success and prototyping new solutions - all within the context of influencing direct strategic sales - this could be for you. What you’ll get in return is the opportunity to be part of an extremely high-performing, strategically-important team that works at the exciting intersection of engineering, sales, and customer engagement.

How You’ll Make a Difference:

• Spearhead the technical and solution pre sales campaign to prospective Klaviyo Mid Market and Enterprise clients to help Klaviyo hit its revenue targets, including
• Technical discovery around current customers architectures, understanding their business and technical challenges and opportunities
• Host technical workshops where you’ll be working with developers and business teams to align technical solutions to overall business outcomes 
• Architect and execute Proof of Value plans to achieve technical selection over the competition 
• You will become a complete expert in the Klaviyo experience, from understanding the data pipelines and code base of our integrations to understanding technical tradeoffs between different implementations
• Support product field alignment by being the voice of our customer needs and working closely with our Developer Experience team and Product teams to synthesize product gap information
• Be the go-to internal technical and subject matter expert resource, educating sales team members as well as prospects/customers to provide a consistently positive Klaviyo experience.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• 3+ years experience in sales engineering, solutions engineering/architecture for a software product or digital agency experience with solution implementation and client engagement
• 3+ years in a role working with web development languages (Javascript, Node.js, React); REST APIs; and/or with a general purpose programming language such as Python
• Strong domain knowledge in several of the following areas and a proven ability to learn new domains quickly:  marketing automation tools, customer data platforms (CDP), eCommerce systems, mobile apps, analytics, ad tech, data engineering
• Proven ability to track and learn from the ever-changing technical landscape and incorporate modern, optimized solutions to high-value problems.
• A compelling and honest communicator and storyteller who can impress prospects at any level from executive to developer, with the capability to persuade technical stakeholders as well as explain technical concepts to non-technical stakeholders
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

Klaviyo in APAC:

We are starting small but have big plans for Klaviyo in APAC. Our Sydney team began to take shape throughout 2022 and has now built out our go to market teams in sales, customer success, partnerships, marketing, recruiting and product support. As the team grows we will see a continued expansion of Klaviyo’s customer base and the building of a fantastic working culture in line with what we see elsewhere in Klaviyo but with its own local identity within our Sydney based team. This is your unique opportunity to join us at a very early stage and help to shape our future Klaviyo in APAC.

One of our values as a company is ‘always learning’ and you can feel that in APAC. People are looking to grow and develop and Klaviyo provides a great platform to do so. As we are still relatively early in our journey in APAC this means there is a lot of headroom to grow and develop within your role - we are looking for the leaders of the future. At Klaviyo generally managers are often promoted up into their roles and people are regularly being promoted or moving into new functional areas - it really is an education through experience here. 

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

#LI-Hybrid

About the Role 

At SimplifyNext, quality is not a phase – it is a discipline woven into every stage of how we deliver. As a Senior Quality Analyst, you will play a leadership role in shaping how quality is defined, engineered, and scaled across our engagements. You will work at the intersection of modern application development, AI-driven solutions, and enterprise automation, partnering with architects, engineers, and client stakeholders to ensure quality is built into the foundation – not tested at the end. This role goes beyond traditional QA. You will lead quality transformation for our clients, drive automation-first testing strategies, and explore how AI can redefine how quality is assured in complex, real-world systems. 

Responsibilities 

Quality Leadership & Strategy 

• Define and lead end-to-end quality strategies for complex programmes, ensuring alignment with business outcomes, regulatory requirements, and modern architecture patterns. 

• Act as a trusted advisor to clients and senior stakeholders, shaping how quality is approached across teams, platforms, and releases. 

• Establish quality governance frameworks across multi-workstream programmes, including standards, metrics, and reporting structures. 

Shift-Left & Engineering Excellence 

• Champion a shift-left and quality engineering mindset, embedding testing into design, development, and deployment practices. 

• Partner with architects and developers to design for testability, ensuring systems are observable, resilient, and scalable. 

• Advocate and guide teams on practices such as TDD, BDD, contract testing, and CI/CD-driven quality gates. 

Automation & AI-Driven Testing 

• Lead the design and implementation of automation-first testing strategies across UI, API, data, and integration layers. 

• Drive adoption of modern test automation frameworks such as Playwright, Cypress, and Selenium, and ensure they are scalable, maintainable, and integrated into delivery pipelines. 

• Make informed decisions on tooling strategy (e.g. what to use for modern web apps vs legacy or cross-browser needs). 

• Explore and implement AI-assisted testing approaches – including test generation, intelligent test selection, anomaly detection, and self-healing automation. 

• Define approaches for testing AI/ML systems and agentic workflows, including handling non-deterministic behaviour, model drift, and data quality risks. 

End-to-End Quality Assurance 

• Own quality across the full technology stack – from frontend experiences to backend services, integrations, and cloud infrastructure. 

• Lead exploratory testing and risk-based validation, especially in complex, automation-heavy, or AI-driven solutions. 

• Ensure robustness across performance, security, reliability, and user experience dimensions. 

Metrics, Insights & Continuous Improvement 

• Define and track engineering and quality metrics (e.g. lead time, deployment frequency, change fail rate, MTTR). 

• Use data to identify systemic issues, improve delivery predictability, and elevate team performance. 

• Embed continuous feedback loops from production usage into test strategy and product improvements. 

Coaching & Practice Building 

• Mentor and guide junior QAs and engineers, raising the overall quality maturity of teams. 

• Coach client teams to adopt shared ownership of quality, ensuring sustainability beyond project delivery. 

• Contribute to building SimplifyNext’s Quality Engineering practice, including reusable assets, accelerators, and thought leadership. 

What We Are Looking For 

Technical Skills 

• Strong experience in quality engineering within agile, product-centric environments, working closely with developers, BAs, and architects. 

• Proven ability to define and implement automation strategies across complex systems (web, mobile, API, integrations). 

• Hands-on experience with modern test frameworks and CI/CD integration. 

• Solid understanding of cloud-native architectures, microservices, and distributed systems. 

• Experience testing AI/ML or automation solutions, with awareness of challenges such as non-determinism, data dependency, and model evaluation. 

• Familiarity with performance, security, and resilience testing approaches. 

• Experience working in large-scale or public sector programmes is a plus. 

Professional & Leadership Skills 

• Demonstrated ability to lead quality across teams and influence without authority. 

• Strong consulting mindset – able to engage clients, shape thinking, and communicate risks in business terms. 

• Ability to operate at both strategic and hands-on levels, switching seamlessly as needed. 

• Excellent stakeholder management skills, including senior leadership engagement. 

• Passion for innovation in quality engineering, particularly through automation and AI. 

• Committed to continuous learning and driving change in how quality is delivered. 

What Success Looks Like in This Role 

• Quality is embedded from day one, not introduced late in delivery 

• Automation coverage is meaningful, reliable, and accelerates releases 

• Teams adopt shared ownership of quality 

• Clients see measurable improvements in delivery metrics and stability 

• New approaches (AI-assisted testing, modern frameworks) are successfully piloted and scaled 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The Software Development Engineer in Test / Python Developer provides mission-critical support for our core proprietary trading systems. You will develop automated tests for trading platforms used globally by trading and research teams, and contribute to Python production applications such as trade data processing and reconciliation tools. We are seeking a candidate with experience in fast-paced development environments, strong testing skills, and solid Python development experience.

Core Duties:

• Test automation & quality assurance
  • Build a strong understanding of trading system functionality (market pricing, trading operations, trade data access, etc.) and use the Python-based test framework to develop automated test suites
  • Design and implement tests for throughput, functionality, data processing, and latency for Trading Components (Order Adapters, Market Data Publishers, Risk Systems, Exchange Connections, and others)
  • Test trading system releases and support release management
  • Support and maintain test environments
  • Integrate tests into a continuous integration system and provide fast feedback on changes that affect development
  • Perform manual testing when needed (e.g., certification, integration testing)
  • Troubleshoot issues and bugs discovered in testing and help determine root cause
  • Investigate production issues and support root cause analysis
• Python production applications
  • Develop, maintain, and enhance Python production applications such as trade data processing and reconciliation tools
  • Participate in the full software lifecycle for these applications, including design, implementation, deployment, and support

 Requirements:

• 2+ years of Python programming experience
• 2+ years of automation testing experience
• Experience with testing frameworks for unit and integration testing (PyTest)
• Strong analytical skills, attention to detail, and clear written and verbal communication
• Solid understanding of software development and testing practices
• Ability to adapt and learn quickly in a fast-paced environment

Preferred:

• Experience with trading systems
• Experience developing or maintaining production-facing Python applications
• Familiarity with FIX protocol and other financial messaging protocols

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Responsibilities

We are looking for an exceptional Senior Front End Engineer to join our growing team. In this role, you will be responsible for designing, building and optimizing complex UI for modern integration platform using advanced JavaScript, HTML and CSS technologies. You will work with product, design and back-end teams to build innovative features. In this role, you will also be responsible to:

• Build efficient and reusable front-end components

• Collaborate with Product Managers and Experience Designers to iterate on the design and implementation of our product

• Identify and resolve performance issues.

• Solve non-trivial coding and architecture problems with simple and innovative solutions

• Take ownership of a project or feature

• Contribute in all phases of the development lifecycle

Requirements

Qualifications / Experience / Technical Skills

• 5+ years of experience in front-end focused Software Development

• A degree in Computer Science or equivalent academic background

• Experience with Angular

• Advanced level knowledge of JavaScript, CSS, and HTML

• Experience in building responsive web interfaces using the latest HTML and CSS technologies

• Good understanding of how browsers and DOM work

• Familiar with web security, SEO and accessibility

• Familiar with browser performance optimizations

• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

• Experience delivering large-scale web applications

• Knowledge of QA automation processes and tools (Jasmine, Mocha, Selenium & etc)

• Experience with TypeScript, or a desire to learn about it

• Fluency with the Unix command line interface

• Contributions to open source projects

Soft Skills / Personal Characteristics

• Keen eye for design details and a strong sense of good UX.

• Willing to go the extra mile to do things right and fast

(REQ ID: 2420)

Responsibilities

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane. 

You will be working on the AgentX Apps, Please click on the link for more details.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
  
  
• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
  
  
• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
  
  
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
  
  
• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
  
  
• Lead technical initiatives for AI system integration into existing products and services.
  
  
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
  
  
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
  
  
• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
  
  
• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
  
  
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
  
  
• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
  
  
• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
  
  
• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
  
  
• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns.
  
  
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
  
  
• Strong understanding of software architecture, scalability, security, and system design.
  
  
• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
  
  
• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts
  
  
• Collaborative mindset for cross-functional team work
  
  
• Detail-oriented with strong focus on quality
  
  
• Self-motivated and able to work independently
  
  
• Passion for solving complex search problems
  
  

Job Req ID: 2455

About WPP Media  

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.   

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.  

For more information, visit wppmedia.com. 

 Role Summary and Impact 

The Media Futures Group AI Squad is a small, agile, and autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients. 
 
By seamlessly integrating AI across media, creative, and production, this cross-functional squad delivers cutting-edge innovation and pioneering work to deliver more effective and efficient business outcomes. 
 
The team’s mission is to solve specific business challenges by delivering demonstrable proof of AI-enabled marketing improvements, providing strategic guideposts for the broader organization. 
 
Utilizing best-in-class tools like WPP Open and Gemini, you will innovate and deliver award-winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients. 

The Media Planner functions as the critical execution arm of the squad, ensuring that highly sophisticated, AI-generated strategies and creative assets are actually delivered to the end consumer in the most financially efficient and commercially impactful manner possible. Your foundational expertise must be in traditional media planning with a heavy priority on digital channels. While you must be highly comfortable using AI tools (like Google Gemini) in your daily workflow, this role is designed for aggressive, hands-on upskilling: we will train you to become the undisputed domain expert in WPP's Open Media Studio (OMS) to supercharge your planning and trafficking. 

Responsibilities: 

• Digital Media Architecture & Planning: Develop comprehensive media architectures utilizing the WPP Open Media Studio platform. Determine optimal financial budget distribution, timing, and platform placement across core digital channels, learning to leverage OMS's embedded predictive analysis tools.  

• Live Deployment & Optimization: Deploy the campaign live into the digital wild, executing the highly tactical setup, digital trafficking, and activation of programmatic and social media campaigns across self-service ad platforms (prominently Google Ads and Display & Video 360).  

• In-Flight Analysis: Continuously analyse in-channel performance metrics, rapidly identifying tracking inaccuracies, tag misfires, or data integrity issues, and dynamically optimizing the financial budget allocation across continuously varying scenarios.  

• AI Tool Adoption & Upskilling: Actively participate in hands-on training to integrate AI automation into your daily work. Transition away from manual trafficking by mastering WPP Open Media Studio and applying generative AI to streamline campaign reporting, insights generation, and administrative workflows.  

• Governance & Compliance: Ensure al regional technical requirements and strict data governance protocols (e.g., GDPR) are strictly adhered to, while preparing highly standardized campaign reports for senior executive management. 

Skills and Experience 

• 3 to 5 years of dedicated experience in digital media planning, technical ad operations, or high-volume campaign management, preferably forged within a high-pressure global agency or specialized trading desk environment.  

• A strong foundation in traditional media planning principles, heavily over-indexing on programmatic, search, and social digital channel execution.  

• Hands-on, technical proficiency and active certifications within the Google Marketing Platform ecosystem, specifically covering Display & Video 360, Campaign Manager, and Google Ads.  

• Thorough, mechanical understanding of tracking pixels, universal tags, and Google Tag Manager.  

• AI Baseline: A strong baseline comfort utilizing generative AI (particularly Google Gemini) in your daily personal or professional life to accelerate basic tasks, coupled with a high eagerness to be formally trained on enterprise-grade AI planning systems. 

• High-level financial acumen, showcasing past experience managing massive, multi-country campaign budgets, executing complex billing reconciliations, and successfully navigating regional commercial complexities.  

Key Competencies  

Absolute Precision: Tactical execution focus with an uncompromising, zero-  defect approach to digital trafficking and campaign QA.  

AI-Native Execution & Transformation: Moves beyond a simple willingness to learn; proactively deconstructs manual legacy processes and rebuilds them using AI-automated systems. Instinctively leverages generative AI and advanced platforms to solve planning bottlenecks, automate heavy reporting, and accelerate execution timelines.  

Highly Analytical Mindset: Capable of instantly diagnosing in-flight campaign data, spotting anomalies, and pivoting media spend dynamically.  

Financial Rigor: Deep comfort with the granular intricacies of digital advertising platforms, billing mechanics, and budget pacing 

Life at WPP Media & Benefits  

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.    

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  

Please note that while our philosophy is the same across WPP, benefits may vary by office/country. 

#LI-Regional

About WPP Media  

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.   

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.  

For more information, visit wppmedia.com. 

 Role Summary and Impact 

The Media Futures Group AI Squad is a small, agile, and autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients. 
 
By seamlessly integrating AI across media, creative, and production, this cross-functional squad delivers cutting-edge innovation and pioneering work to deliver more effective and efficient business outcomes. 
 
The team’s mission is to solve specific business challenges by delivering demonstrable proof of AI-enabled marketing improvements, providing strategic guideposts for the broader organization. 
 
Utilizing best-in-class tools like WPP Open and Gemini, you will innovate and deliver award-winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients. 

While the Media Planner architects the overarching strategy and budget distribution, the Associate Media Activation Director acts as the engine room of the campaign. You are the cross-channel platform deployment lead for the squad, responsible for executing the campaign end-to-end—from receiving AI-generated assets for trafficking to actively optimizing live media in-flight. You will navigate the high-pressure environment of live sprints, ensuring that our AI-led strategies are executed flawlessly across platforms while aggressively utilizing AI tools to automate your own daily activation workflows. 

Responsibilities 

• Live Deployment & Trafficking: Take full ownership of the hands-on-keyboard campaign setup. Execute complex digital trafficking, ad server configuration, and live activation of programmatic, search, and social media campaigns across self-service ad platforms. 

• Real-Time Optimization & Pacing: Continuously monitor in-flight campaigns during the live sprint. Manage daily budget pacing, adjust bidding strategies, and dynamically reallocate funds across channels based on real-time performance data and predictive AI signals. 

• Quality Assurance (QA) & Troubleshooting: Act as the first line of defense for campaign health. Rapidly identify and troubleshoot tracking inaccuracies, tag misfires, creative disapprovals, or data integrity issues before they impact campaign performance. 

• AI-Assisted Workflow Automation: Actively utilize generative AI (such as Google Gemini) and automated scripts to accelerate mundane activation tasks, including bulk campaign uploads, naming convention generation, anomaly detection, and automated performance reporting. 

• Cross-Functional Collaboration: Work in lockstep with the Media Planner to ensure the strategic architecture translates perfectly into the platform, and collaborate with the Data Scientist to ensure all tracking pixels and measurement frameworks are firing correctly. 

Skills and Experience 

• 2 to 4 years of dedicated, hands-on experience in digital media activation, ad operations, or performance marketing execution. 

• Deep, practical expertise navigating and operating within the Google Marketing Platform ecosystem; active certifications in Display & Video 360 (DV360), Campaign Manager 360 (CM360), and Google Ads are highly preferred. 

• Strong, mechanical understanding of ad tech infrastructure, including tracking pixels, universal tags, UTM parameters, and Google Tag Manager. 

• Proven track record of managing daily budget pacing and executing in-platform optimizations for complex, multi-market or high-budget campaigns. 

• Baseline fluency in utilizing AI tools (like Gemini or ChatGPT) for everyday productivity, with a strong desire to learn how to apply machine learning and AI automation directly to media buying and operations. 

Key Competencies 

• Flawless Tactical Execution: An uncompromising, zero-defect approach to campaign QA, trafficking, and naming conventions. 

• Analytical Agility: The ability to quickly parse live dashboard data, spot performance anomalies, and execute immediate in-platform adjustments. 

• Platform Mastery: Deep, native comfort operating within the granular settings and bidding algorithms of major Demand-Side Platforms (DSPs) and ad servers. 

• High-Pressure Resilience: Thrives in fast-paced, high-velocity deployment environments where campaigns must be launched, paused, or pivoted on a dime. 

Life at WPP Media & Benefits  

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.    

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  

Please note that while our philosophy is the same across WPP, benefits may vary by office/country. 

#LI-Regional

About the Opportunity

CRM Marketing — if you know, you know. It is the part of marketing that combines data, creativity, and commercial instinct to move customers at exactly the right moment. And nowhere is that more true than in upsell.

Our Upsell & Revenue Expansion programme is one of the best-performing workstreams in the business. It is led by an experienced CRM manager who owns its strategy and commercial outcomes. We are looking for someone to join that team — taking on meaningful execution from day one and growing into a genuine contributor to how the programme evolves across all brands.

The strategic direction is set, but there is real room to bring your thinking. The best experiment ideas often come from the person closest to the data. We want someone who is commercially curious, notices patterns others miss, and is not shy about raising a hypothesis or challenging an assumption — as long as they can back it up.

If you want focused ownership of a real revenue workstream, a front-row seat to how high-performing CRM operates, and the space to grow into broader ownership over time, this is the role.

What You Will Do

Campaign Execution & Programme Support

• Build and configure upsell campaigns and canvases in Braze — audience logic, offer triggers, message variants, timing, and channel routing — working within frameworks set by the workstream lead.
• Execute the upsell campaign calendar with precision: audience setup, content population, QA, and launch on schedule.
• Work within established offer structures, discount logic, and eligibility rules — understanding the commercial rationale behind each so you can flag anything that looks off.

Performance Analysis & Commercial Contribution

• Track and report on upsell KPIs — conversion rate, revenue per transaction, AOV, channel engagement — and deliver structured post-campaign summaries to the lead.
• Go beyond reporting: analyse performance with a commercial lens, identify patterns, and bring hypotheses about what could be improved to planning conversations.
• Support the design and execution of A/B tests — helping to define variants, build them in Braze, and document results with clear, actionable conclusions.
• Over time, develop and pitch your own experiment ideas grounded in data — audience refinements, offer timing, message framing, discount sensitivity — and work with the lead to prioritise and test them.

Audience & Segment Management

• Maintain upsell audience segments in Braze — keeping eligibility logic, exclusion rules, and offer targeting aligned with the lead's current definitions.
• Monitor audience quality signals — list size trends, complaint rates, engagement by segment — and surface concerns before they affect programme performance.
• Raise structured requests to CRM Ops for new data attributes or event signals that could sharpen targeting, as directed by the lead.

Quality & Operational Standards

• Run rigorous pre-send QA on every upsell campaign: rendering, link validation, audience confirmation, discount logic check, and personalisation accuracy.
• Maintain operational documentation for the upsell workstream — canvas notes, naming conventions, performance logs — keeping them accurate and up to date.
• Escalate anomalies, unexpected audience sizes, or content issues to the lead before any campaign goes live.

Collaboration & Growth

• Work closely with the workstream lead — contributing to sprint planning, campaign reviews, and retrospectives as a thinking partner, not just an executor.
• Brief creative teams with context-rich, commercially grounded inputs: audience intent, offer rationale, tone direction, and performance benchmarks.
• Build your commercial CRM instincts: understand the product catalogue, pricing mechanics, and subscription dynamics well enough to know when a campaign decision feels commercially off.

Who We Are Looking For

Experience

• 1-3 years in CRM, lifecycle, growth marketing, or a related digital marketing role — hands-on execution is essential.
• Exposure to a marketing automation or engagement platform at any level (Braze preferred; Salesforce Marketing Cloud, Oracle Marketing Cloud, Iterable, or similar considered).
• Some experience working on commercially-oriented campaigns — conversion, retention, upsell, or promotional — is a meaningful advantage.
• Experience interpreting campaign performance data and drawing conclusions from it, even informally.

Skills & Technical Abilities

• Commercially curious: you want to understand how CRM decisions translate into revenue, not just what button to press.
• Analytically capable: you can read a performance dashboard, identify what stands out, and form a view on what it means.
• Detail-oriented: you understand that in a revenue workstream, execution errors have a direct commercial cost.
• Clear and proactive communicator: you flag issues early, update the lead without being chased, and bring ideas in a way that is structured and easy to act on.
• HTML/CSS and SQL are nice to have but not required.

Mindset

• Commercially motivated: you care about the revenue number and feel a genuine pull to improve it.
• Curious and idea-generating: you notice things in data and customer behaviour that spark hypotheses, and you are not shy about raising them.
• Collaborative and humble: you work within a team that has a lead for good reason — you contribute your thinking while respecting the direction that is set.
• Growth-oriented: you are building your CRM expertise and you want to grow into more ownership over time.

#LI-NL1

CRM Marketing — if you know, you know. It sits at the intersection of data, creativity, and commercial instinct, and the work you do here touches customers at the moments that matter most.

Our Winback & Re-engagement programme is a proven, revenue-generating workstream with an experienced lead already driving its strategy and direction. We are looking for someone to grow alongside that lead — taking on real execution responsibilities from day one while progressively contributing your own ideas and analysis to improve the programme across all brands.

You will not be a silent executor. We want someone who is curious about why campaigns are built the way they are, who notices things in the data that others might miss, and who is not afraid to bring a point of view to the table. The best teams are built on people who challenge thinking and raise the bar — and this role has real room for that.

It is a great launchpad: focused scope, a live revenue programme, an experienced lead to learn from, and a clear path to growing into broader ownership as you build your track record.

What You Will Do

Campaign Execution & Scheduling

• Build and manage winback campaign canvases in Braze end-to-end — audience logic, triggers, message variants, timing, and channel routing — working within frameworks set by the workstream lead.
• Own the production process for scheduled sends: audience setup, content population, QA, and launch, in line with the campaign calendar.
• Maintain the winback calendar and flag scheduling conflicts or coverage gaps to the lead proactively.

Performance Analysis & Ideas

• Track and report on core winback KPIs — reactivation rate, recovered revenue, channel engagement, unsubscribes — and deliver structured post-campaign summaries to the lead.
• Go beyond the numbers: surface observations and hypotheses about what is and is not working, and bring them as input to experiment planning conversations.
• Support the design and execution of A/B tests — working with the lead to define the hypothesis, build the variants, and document the results.
• Over time, develop and pitch your own ideas for improving the programme — audience refinements, new trigger points, offer framings, or messaging angles — grounded in data and customer insight.

Audience & Segment Management

• Maintain the accuracy of winback audience segments, keeping suppression logic, reactivation thresholds, and exclusion rules aligned with the lead's current definitions.
• Monitor list health indicators — complaint rates, re-engagement rates, invalid addresses — and raise issues before they affect deliverability or programme performance.
• Coordinate with CRM Operations for any data or attribute changes needed to support the programme.

Quality & Operational Standards

• Run thorough pre-send QA on every campaign: rendering across devices and clients, link checking, audience size validation, and personalisation accuracy.
• Maintain the programme's operational documentation — keeping canvas notes, naming conventions, and performance logs current.
• Flag anomalies, errors, or unexpected behaviour to the lead before they reach production.

Collaboration & Growth

• Work closely with the workstream lead, contributing actively to sprint planning, campaign reviews, and retrospectives — not just as a reporter of results but as a thinking partner.
• Brief and collaborate with creative teams (writers, designers) to translate audience insight and campaign objectives into compelling content.
• Proactively build your CRM knowledge — ask questions, learn the platform deeply, and develop a point of view on what great lifecycle marketing looks like.

Who We Are Looking For

Experience

• 1-3 years in CRM, lifecycle, growth marketing, or a related digital marketing role — hands-on execution is essential.
• Exposure to a marketing automation or engagement platform at any level (Braze preferred; Salesforce Marketing Cloud, Oracle Marketing Cloud, Iterable, or similar considered).
• Some experience working on commercially-oriented campaigns — conversion, retention, upsell, or promotional — is a meaningful advantage.
• Experience interpreting campaign performance data and drawing conclusions from it, even informally.

Skills & Technical Abilities

• Analytically curious: you read performance data with genuine interest and want to understand what is behind the numbers.
• Detail-oriented: you QA your own work carefully and take pride in execution quality.
• Clear communicator: you brief creative teams well, update the lead proactively, and surface blockers early.
• Comfortable with ambiguity: you can make sensible judgements with imperfect information and know when to ask for direction.
• HTML/CSS and SQL are nice to have but not required.

Mindset

• Curious and open-minded: you want to understand the why behind every campaign decision, not just the how.
• Proactive: you bring things to the table rather than waiting to be asked — ideas, observations, questions.
• Team player: you understand your role sits within a workstream that has a lead for a reason, and you amplify their work rather than cutting across it.
• Growth-oriented: you are at an early stage of your CRM career and you are actively building toward more.

#LI-NL1

About Gain Theory
Gain Theory is part of WPP, a creative transformation company that uses the power of creativity to build better futures for its people, planet, clients, and communities.

Gain Theory is a global marketing effectiveness consultancy, that uses data and analytics to deliver successful business outcomes for clients. Our vision is to inspire marketing excellence by helping marketers focus on the right data, not ‘big data’, and asking and answering the questions that drive business value. We pair consultancy and technology to foster a data-informed culture that helps to drive sustainable business growth.

The Role: What will I do?

As a Data Analyst, you will be part of the Gain Theory Data Practice and will be embedded in one of Gain Theory’s client-based squads.  Working with your manager, you will be working on some of the top brands in the world and be hands on with data ranging from media, client specific, Gain Theory specific, sales, and more.  You will work as part of a team to process and organize data in preparation for modeling.  You will be challenged and have the opportunity to help innovate and automate.

The Data Analyst is expected to make use of data processing techniques including SQL and ETL to handle the data. They will also utilize our internal data automation tools to ensure data pipelines, which clean and transform data, are executed effectively. This person will also run robust data QA processes.  The quality of our data is the lifeblood of our work.  Additionally, the Data Analyst will work with their manager on coordinating client and agency contacts around the continued flow of data from relevant data sources. The role will also interact with the wider data community within Gain Theory, especially with members of the Data Centre or Excellence (DCOE) to share best practice, and both provide and receive support.

Our teams bring together cutting-edge data engineering, advanced analytics, unified measurement products and enterprise scalable engineering to build products that will shape the next decade of faster, smarter, data-informed decision-making. We believe that consumer privacy, client confidentiality, brand growth, and user experience are essential to performance.

Qualifications

• Degree in Computer Science, Data Science, Data Engineering, Information Science, Business Intelligence or related quantitative field
• Familiar with standard data processing tools/concepts (e.g. SQL, NoSQL ETL)
• Knowledge of QA processes
• Required skillsets: SQL, Excel & ETL

Nice to have skillsets:

• Snowflake, Python, GIT, Cloud Compute/Storage (Azure or AWS)
• Experience with the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.)
• Working knowledge of appropriate metrics, measurement, and reporting.
• Experience with DBT is valuable but not required
• Project management skills including planning tasks and deliverables, managing timelines and risks, and overseeing simultaneous projects
• Organized, detail-oriented, QA-focused
• Excellent written, verbal, and presentation skills
• English proficiency

Values and Behaviours

Joining Gain Theory means joining a group of people who live, breathe and behave by our values:

•  Be Curious: continuously asking, understanding, learning, and developing.
•  Be Positive: approaching everything we do with a positive mindset and making positive impact on each other.
•  Act with Consideration: seeing things from someone else’s perspective; respecting and embracing diverse thinking.
•  Make it Better: continuous improvement and stretching our abilities, being honest with ourselves and each other.

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset, our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

So you’re interested in becoming a Digital Media Manager? Let's dive into what that means:

As a Manager in  Digital Media you’ll deliver best-in-class work for clients. You’ll apply your Media knowledge and experience so that you have a positive impact on client deliverable and the wider team around you. You will help to define the campaign delivery plan, including objectives and ways in which work can be successful or optimised further. You will also generate and promote innovative new concepts to clients applying our test and learn approach and share successes across the practice by identifying and improving guidelines, playbooks and processes including opportunities to automate work

In this role you will:

• Be responsible for delivering highly successful, brilliant campaigns across digital channels that outperform KPIs, to budget and on-time.
  
• Start to define campaign delivery plans and measurement targets. 
  
• Effectively track and optimise campaigns. 
  
• Be a point of contact for our clients on day to day tasks and deliverables
  
• Develop and implement, as well as follow guidelines and processes contributing to ideas around automation or process improvement. 
  
• You’ll actively contribute to developing best-practice roadmap so that our Media offering is continually developing. 
  
• Mentor others across the practice helping to grow capability and knowledge.

We’re looking for someone who:

• Has a strong Media delivery track record with 2+ years of experience in Search and Social campaigns
  
• Is passionate about their craft. 
  
• Has demonstrable success in implementing and  optimising digital media campaigns and work through automation, processes and technology adoption/development. 
  
• Has a good understanding about how other channels work and optimise together. 
  
• Is a confident, dynamic, engaging and authentic communicator who cares about the quality of work and continuous learning. 
  
• Is passionate about growing the knowledge of those around you
  
• Has excellent presentation skills and strong data analysis and reporting skills. 
  
• Has a strong attention to detail, methodical and process orientated.

And this is what success looks like in the role:

• You will live our culture code every day!
  
• Effective campaign creation and delivery metrics. 
  
• Internal targets/metrics on technology adoption and process optimisation met.
  
• You will hit our quality assurance metrics on all campaigns you lead. 
  
• Client satisfaction targets being met (internal & external)
  
• Learning certifications created and met across the practice.
  
• Active involvement in mentoring less experienced Media colleagues

So you’re interested in  kick starting your career in digital media with our awesome team based in Singapore? Let's dive into what that means!

At  Brainlabs you will start your career as an Associate by gaining a basic understanding of the digital marketing landscape and beginning to learn the craft of our main digital marketing channels, which include: Paid Search, Paid Social, SEO and Programmatic. 

In this role you will:

• Use your developing knowledge to deliver campaigns that are on time, accurate and in budget. This will include campaigns in Paid Search (using Google Ads), Paid Social (using Meta, TikTok, LinkedIn) and SEO (Search Engine Optimisation)
  Follow all best practice and QA processes.
  
• Deliver basic reporting on campaign performance.
  
• Understand the value of process improvements, innovation and automation.
  
• Start to work on your presentation skills.
  

We’re looking for someone who:

• Has a very strong academic background and keen passion for learning!
  Is passionate about growing your career in marketing and developing skills in strategy, innovation, and client leadership.
  
• Is a confident and engaging communicator with good presentation skills.
  
• Has good data analysis skills.
  
• Is someone with strong attention to detail, who is methodical and process orientated and cares about the quality of work and continuous learning.
  

And this is what success looks like in the role:

• You will live our Culture Code every day!
  
• You're passionate about digital marketing and growing your career.
  
• Achieving the goals set by your manager 

As a Backend Engineering Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Key Responsibilities

Technical Vision and Strategy

• Defines and communicates the technical vision and strategy for the engineering team, aligning it with overall business objectives.
• Evaluates emerging technologies and industry trends — including AI/ML capabilities, LLM-based tooling, and agentic frameworks — to inform technical roadmaps and architectural decisions.

Team Leadership and Mentorship

• Leads and mentors a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Provides guidance and support to team members, empowering them to grow both technically and professionally.
• Builds AI literacy across the team — ensuring engineers can effectively leverage AI-assisted development tools (code generation, automated review, test generation) while maintaining critical thinking about AI outputs.
• Coaches engineers on prompt engineering, AI pair-programming workflows, and when to trust vs. verify AI-generated code.

Project Management and Execution

• Manages technical projects from inception to delivery, overseeing planning, execution, and quality assurance processes.
• Coordinates with cross-functional teams, including product management, design, and QA, to ensure successful project outcomes.
• Incorporates AI-augmented estimation and planning tools where appropriate, while maintaining accountability for delivery commitments.

Architecture and Design

• Designs and implements scalable, maintainable, and extensible software architectures, considering factors such as performance, security, and scalability.
• Leads architectural discussions and collaborates with senior engineers to drive consensus on design decisions.
• Architects systems with AI integration patterns in mind — designing clean boundaries for AI/ML components, defining contracts between deterministic and probabilistic systems, and planning for model versioning, fallback strategies, and graceful degradation.

Technical Excellence

• Sets high standards for code quality, performance, and maintainability, and ensures adherence to best practices and coding standards.
• Conducts code reviews and provides constructive feedback to ensure the delivery of high-quality software solutions.
• Establishes guardrails and review standards for AI-generated code — ensuring it meets the same quality bar as human-written code, with particular attention to security, edge cases, and maintainability.
• Champions responsible AI practices: output validation, bias awareness, hallucination mitigation, and appropriate human-in-the-loop controls for critical paths.
  
  

Operational Ownership

• Takes end-to-end ownership of the systems the team builds — from deployment through production reliability, performance, and incident response.
• Drives operational maturity: SLOs/SLIs, alerting hygiene, runbook coverage, on-call readiness, and post-incident reviews that produce lasting improvements, not just action items.
• Ensures the team builds with production in mind from day one — observability, graceful degradation, and failure modes are first-class design concerns, not afterthoughts.
• Instils a "you build it, you run it" culture where engineers feel genuine accountability for what they ship and how it behaves under real-world conditions.

Problem-Solving and Decision-Making

• Demonstrates advanced problem-solving skills, leveraging deep technical expertise and critical thinking to address complex technical challenges.
• Makes informed decisions under uncertainty, weighing technical trade-offs and considering long-term implications.
• Knows when AI is the right tool for a problem and when it isn't — resists the pressure to "add AI" where simpler, more deterministic solutions are more reliable and cost-effective.
• Leverages AI-assisted analysis (log analysis, incident correlation, root cause detection) to accelerate debugging and reduce mean time to resolution.

Stakeholder Management and Communication

• Builds strong relationships with stakeholders, including product managers, business leaders, and other engineering teams, to understand requirements and priorities.
• Communicates technical concepts and project status effectively to both technical and non-technical stakeholders, adapting communication style as needed.
• Translates AI capabilities and limitations into business terms — sets realistic expectations around what AI can deliver, timelines for AI-powered features, and the ongoing cost of maintaining AI systems (compute, data quality, model drift).
• Educates stakeholders on the difference between demo-grade AI and production-grade AI, managing enthusiasm without stifling innovation.

Risk Management and Mitigation

• Identifies and mitigates technical risks proactively, anticipating potential issues and implementing contingency plans to minimize impact on project timelines and deliverables.
• Maintains a focus on security, privacy, and compliance requirements, ensuring that systems and processes adhere to relevant standards and regulations.

Continuous Improvement and Innovation

• Drives a culture of continuous improvement and innovation within the engineering team, encouraging experimentation, knowledge sharing, and adoption of new technologies.
• Promotes automation, tooling, and process enhancements to improve efficiency, reliability, and scalability of development workflows.
• Runs structured experiments with AI tools and workflows — measuring real impact on velocity, quality, and developer experience rather than relying on anecdotal evidence.
• Builds internal knowledge sharing around AI use cases, effective patterns, and lessons learned — creating a feedback loop that accelerates the team's AI maturity.
• Actively contributes to agentic AI workflows for automating repetitive engineering tasks (test generation, migration scripts, documentation, incident triage) while maintaining human oversight on critical decisions.
  
  

Leadership and Influence

• Leads by example, demonstrating integrity, accountability, and a commitment to excellence in all aspects of work.
• Inspires and motivates team members to achieve their full potential, fostering a positive and inclusive team culture.
• Positions the team as AI-forward without being AI-reckless — models the discipline of evaluating AI tools critically, adopting what works, and discarding what doesn't.
• Shapes the engineering organization's AI adoption narrative, contributing to company-wide standards, governance frameworks, and best practices for AI in production systems.

Role Specific Technical Competencies:

• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.

Our Ideal Candidate: 

• 10+ years of overall experience with the majority of this experience as an Engineering Lead or Manager.
• Experience working in Fintech / Financial organisations is an added advantage.
• At least 5 years of demonstrable leadership experience, at an individual team level and working across demographically distributed teams and organizational boundaries.
• Good experience in creating actionable strategies, with clear outcomes, and continuous measurement of progress.
• Ability to produce and communicate effective and insightful thought leadership on technical topics.
• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
• Ability to take ownership and deliver results in a challenging client-facing environment.
• A degree in a relevant area of study would be helpful but not mandatory

About the role

In partnership with SBI Group, we are building a next-generation decentralized exchange (DEX) aimed at bringing the majority of Japanese equities on-chain. Our goal is to create a secure, transparent, and high-performance trading infrastructure capable of supporting institutional volumes while remaining accessible to retail participants. The platform features a fully on-chain order book and is powered by a custom state transition function and consensus layer, purpose-built for low-latency, high-throughput trading.

As the Senior QA Engineer, you will be the quality champion for this system and cover core trading flows, order book behavior, matching logic, and backend services powering execution. As the first senior-level QA on the team, you will own the end-to-end quality strategy with a strong emphasis on automation, ensuring the correctness, reliability, and performance of both API and E2E layers under real-world trading conditions.

This is a hands-on role focused on building robust E2E and API test coverage, not manual testing.

Key responsibilities

• Quality strategy & process: Define and evolve QA standards, release criteria, and quality metrics tailored to a trading platform. Establish best practices for validating execution accuracy, pricing, and API reliability.

• Automation (E2E-first approach):

  Design, build, and maintain a scalable end-to-end automation framework for the web app, covering critical user journeys.

• API testing & validation:

  Develop comprehensive automated tests for backend services and APIs. Ensure consistency between API responses and frontend behavior.

• Trading logic validation:

  Validate correctness of execution paths, price impact, and fee calculations across different trading pairs and liquidity sources.

• Performance & reliability:

  Drive API-level load and stress testing for high-throughput scenarios. Validate system behavior under peak traffic and degraded conditions (timeouts, partial failures, node issues).

• Test data & environment strategy:

  Design reliable test environments and datasets (mocked or real blockchain interactions), ensuring repeatability of E2E and API tests.

• Cross-team collaboration & leadership:

  Work closely with Engineering and Product to define testable acceptance criteria. Take ownership of QA processes, drive automation adoption, and set quality standards across the team.

Qualifications

Required experiences

• 3+ years in QA for web or fintech products, with at least 2+ years focused on test automation and E2E testing.
• Strong experience building and maintaining E2E test frameworks (e.g. Playwright, Cypress, or similar).
• Solid experience in API testing and automation (REST, JSON-RPC, or similar).
• Strong JavaScript/TypeScript skills.
• Experience testing complex transactional or financial systems.
• Good understanding of trading concepts: slippage, liquidity, routing paths, execution flow.
• Experience designing stable, maintainable automated test suites (CI integration, flakiness reduction).

Nice-to-have

• Experience testing DEXs, trading platforms, or financial systems.
• Familiarity with blockchain basics, smart contracts, and on-chain transaction flows.
• Understanding of AMMs, liquidity pools, and routing algorithms.
• Experience with performance/API load testing tools (e.g. k6, Artillery).
• Experience using AI tools to improve test generation and coverage.

We are looking for a proactive, user-centred UI/UX Designer to join our Professional Services team and lead the design of intuitive, scalable experiences across enterprise platforms, digital products and AI-enabled workflows. You’ll work with consulting teams, strategists, technologists and clients to bring large-scale transformation ideas into polished, usable realities.

What You’ll Do

• Lead end-to-end design: from discovery workshops and user research, through wire-framing, prototyping, high-fidelity UI, to design hand-off and developer collaboration.
• Facilitate and lead stakeholder workshops (clients + internal teams) to understand user needs, business goals, platform constraints and future-state workflows.
• Develop and maintain scalable design systems, style guides and interaction libraries that support multiple solutions (web, mobile, portal, AI assistant interfaces).
• Design with a systems mindset: ensure UI/UX aligns with enterprise platforms (e.g., OutSystems, ServiceNow, Power Platform), complex data flows, integrations and multi-step user journeys.
• Integrate emerging interfaces: envision experiences that incorporate conversational agents, generative AI assistants, dashboard intelligence and automation triggers.
• Conduct usability testing, heuristic reviews and user-feedback sessions. Translate findings into actionable design improvements and measure impact.
• Partner with cross-functional teams (consulting, technology, delivery, QA) to ensure design intent is faithfully implemented and outcomes meet both user and business metrics.
• Mentor and support junior designers and design-ops contributors: uplift the design capability of the broader team and drive continuous improvement.

What You’ll Bring

• 5+ years of professional experience in UI/UX design, ideally in consulting, digital product or enterprise services contexts.
• A strong portfolio showcasing full-lifecycle design work: research, strategy, wireframes, prototypes, high-fidelity UI, design system or component library contributions.
• Proficiency in Figma (or similar tools) and/or Adobe Creative Suite; solid understanding of responsive design, accessibility (WCAG) and enterprise UI patterns.
• Demonstrated experience conducting user research and usability testing (qualitative and quantitative insights).
• Comfort working with enterprise platforms, integration-rich environments and technology-driven constraints (data-heavy dashboards, partner ecosystems, automation flows).
• Excellent communicator: able to translate design rationale to stakeholders (business + tech) and collaborate with developers to ensure delivery fidelity.
• A curious, proactive mindset with strong problem-solving skills - comfortable navigating ambiguity, evolving scope and emerging technologies (chatbots, AI assistants, automation).

Why Join Us

• Be at the forefront of large-scale digital transformation initiatives across industries in Southeast Asia - see your work drive real business impact.
• Join a modern consultancy that values creativity, learning and career growth: we invest in training, certifications, and from RPA to agentic AI you’ll have exposure to fast-moving, high-impact projects.
• Work in a collaborative, forward-thinking culture where designers are strategic partners in shaping solutions, not just UI implementers.
• Enjoy flexibility, autonomy and opportunity to work across diverse industries and technologies, with mentoring and leadership pathways for those who aspire (e.g., lead designer, design-lead in practice).

You don't just track plans. You make things happen.

Projects at SimplifyNext move fast and span complex stakeholder landscapes - clients, vendors, internal delivery teams, and leadership. As Project Manager, you're the person who holds it all together. You set the pace, manage the ambiguity, and make sure every moving part lands on time and on target.

This isn't a coordination-only role. You'll be expected to challenge timelines, flag risks early, and have direct conversations with client stakeholders when things need to shift. You bring structure without bureaucracy, and you know when to escalate and when to just fix it.

What You'll Do

Own end-to-end delivery

• Lead full project lifecycle from kick-off through go-live and handover
• Define and manage scope, timelines, budgets, and resource plans
• Ensure deliverables are met on time, within scope, and to quality

 Drive Agile ways of working

• Facilitate sprint planning, stand-ups, retrospectives, and demos
• Work with BAs and Solution Architects to prioritise backlogs and manage iteration cycles
• Adapt planning approaches to suit client maturity — from full Scrum to hybrid delivery models

 Manage risks and dependencies

• Proactively identify, track, and mitigate project risks and blockers
• Manage cross-team and cross-vendor dependencies
• Escalate effectively — to the right person, at the right time, with context

 Engage and align stakeholders

• Serve as the primary point of contact for client project leads and sponsors
• Communicate project status, decisions, and risks clearly across technical and non-technical audiences
• Facilitate governance meetings, steering committees, and project reviews

Govern and report

• Maintain project documentation: plans, RAID logs, status reports, and change requests
• Ensure compliance with IT governance frameworks, security standards, and QA processes
• Support post-implementation reviews and lessons learned

What You'll Bring

Must-Have

• 5–8 years of project management experience, ideally in a consulting or technology services environment
• Hands-on experience running Agile projects (Scrum, Kanban, or hybrid delivery)
• Strong stakeholder management — comfortable dealing with client project leads, sponsors, and technical teams
• Proven ability to manage project financials, scope changes, and resource allocation
• Experience delivering software or digital transformation projects end-to-end
• Project management certification (PMP, CITPM, COMIT, or equivalent)

Good to Have

• Exposure to automation, AI, or low code platform projects (UiPath, ServiceNow, OutSystems, etc.)
• Experience working in ASEAN public sector or enterprise environments
• Background in quality management, audit, or portfolio management
• Familiarity with tools like Jira, Confluence, MS Project, or equivalent
• Experience managing multi-vendor delivery teams
• Degree in Computer Science, Information Systems, Engineering, or a related field

This role is probably not for you if…

• You're more comfortable updating status trackers than having difficult conversations with clients
• You need a fully defined brief before you can get started
• You treat Agile as a process to follow, not a mindset to apply
• You've only worked in waterfall environments and aren't willing to adapt
• You prefer working behind the scenes and want to avoid stakeholder-facing responsibilities

Why SimplifyNext

Work you’ll do
Software Development & Automation Engineering:

• Develop application logic, automation workflows, and system components using:
  • Python, JavaScript, and/or TypeScript
  • Low-code platforms with custom scripting and logic
• Build reusable modules and components following internal coding and quality standards
• Implement logic involving:
  • Data processing and transformation
  • Exception handling and logging
  • Workflow orchestration across systems

Testing, Quality Assurance & Deployment:

• Write and execute unit tests, integration tests, and system-level tests
• Perform testing beyond UAT, including regression and exception-path testing
• Support deployment activities across development, test, and production environments
• Assist in monitoring deployed systems and resolving post-deployment issues

Project Delivery:

• Participate in Agile software development practices, including sprint planning, stand-ups, and retrospectives
• Collaborate with engineers, architects, and analysts to translate requirements into technical solutions

Qualifications

• Excellent communications and inter-personal skills, and passion to deliver quality work
• Candidates without prior experience are welcome to apply

Are you an AI QA expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into enterprise-grade platforms. With rigorous evaluation data, tomorrow’s AI can democratize world-class education, keep pace with cutting-edge research, and streamline workflows for teams everywhere. That quality begins with you—we need your expertise to harden model reasoning and reliability.

We’re looking for AI QA trainers who live and breathe model evaluation, LLM safety, prompt robustness, data quality assurance, multilingual and domain-specific testing, grounding verification, and compliance/readiness checks. You’ll challenge advanced language models on tasks like hallucination detection, factual consistency, prompt-injection and jailbreak resistance, bias/fairness audits, chain-of-reasoning reliability, tool-use correctness, retrieval-augmentation fidelity, and end-to-end workflow validation—documenting every failure mode so we can raise the bar.

On a typical day, you will converse with the model on real-world scenarios and evaluation prompts, verify factual accuracy and logical soundness, design and run test plans and regression suites, build clear rubrics and pass/fail criteria, capture reproducible error traces with root-cause hypotheses, and suggest improvements to prompt engineering, guardrails, and evaluation metrics (e.g., precision/recall, faithfulness, toxicity, and latency SLOs). You’ll also partner on adversarial red-teaming, automation (Python/SQL), and dashboarding to track quality deltas over time.

A bachelor’s, master’s, or PhD in computer science, data science, computational linguistics, statistics, or a related field is ideal; shipped QA for ML/AI systems, safety/red-team experience, test automation frameworks (e.g., PyTest), and hands-on work with LLM eval tooling (e.g., OpenAI Evals, RAG evaluators, W&B) signal fit. Skills that stand out include: evaluation rubric design, adversarial testing/red-teaming, regression testing at scale, bias/fairness auditing, grounding verification, prompt and system-prompt engineering, test automation (Python/SQL), and high-signal bug reporting. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your QA expertise into the quality backbone for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Employment type: Contract
Workplace type: Remote
Seniority level: Mid-Senior Level

Business Development Representative (BDR) 

At Klaviyo, our mission is to help businesses own their growth. We empower creators, entrepreneurs, and e-commerce brands to build meaningful relationships with their customers through powerful data, automation, and marketing tools. As a Business Development Representative (BDR), you’ll be a key part of bringing that mission to life—introducing eCommerce brands to the Klaviyo platform, setting the foundation for long-term success.

BDRs take a proactive approach—researching and reaching out to brands who haven’t yet engaged with us. You’ll build a pipeline through cold outreach, strategic prospecting, and compelling messaging. This track requires grit, creativity, and resilience to open doors and create new opportunities.

How You’ll Make an Impact

• Generate qualified opportunities for the sales team(Account Executive’s) through a rigorous qualification approach
• Build prospective relationships with e-commerce brands and help them understand how Klaviyo can drive their growth.
• Learn to effectively identify buyer needs, position Klaviyo’s value, and route leads appropriately to Account Executives.
• Stay organized, focused, and consistent in your outreach across multiple channels—calls, emails, and social.
• Demonstrate grit and resilience by staying positive and motivated, even in the face of rejection.
  Reflect Klaviyo’s core values of accountability, effort, and winning as one in every interaction.
  Share insights, contribute to a supportive team culture, and help improve our processes as we scale.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• Driven by a strong desire to launch a career in tech sales, with ambitions to grow into roles like Account Executive.
• Possess grit, resilience, and curiosity—you bounce back quickly and always want to learn more.
  Thrive in fast-paced, dynamic environments with high standards and clear goals.
• A strong communicator who’s confident over the phone, clear in writing, and thoughtful in your approach.
• Self-motivated, coachable, and energized by being part of a high-performing team.
• Fluency in English and Japanese is required due to client requirements. 
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient
• Have valid authorization to work in Singapore 

Klaviyo in Singapore

We are starting small but have big plans for Klaviyo in Singapore. We began expanding into Singapore in 2025, building on the strong foundation established by our APAC presence. As we grow, we are focused on developing our go-to-market teams. As the team grows, we will continue to expand Klaviyo’s customer base in the region while building a fantastic working culture that reflects Klaviyo’s global values, alongside a strong local identity within our Singapore-based team. This is a unique opportunity to join us at an early stage and help shape the future of Klaviyo in Singapore.

One of our values as a company is Always Learning, and that mindset is strongly felt in Singapore. People are eager to grow and develop, and Klaviyo provides a great platform to support that journey. As we are still relatively early in our expansion in Singapore, there is significant headroom to grow and develop within your role—we are looking for the leaders of the future.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

#LI-Hybrid

The Role

As a SME Tax Manager, you’ll be a member of Taxbit’s Subject Matter Expert (SME) team. This role is open only to candidates who currently reside in Singapore and are legally authorized to work in Singapore (e.g., holders of a valid Employment Pass or Permanent Resident status). The position requires on-site availability and alignment with local business operations. 

Your role will include: 

• Working closely with Customer Operations to support execution of our tax enterprise CRS/FATCA/CARF solutions
• Delivering amazing experiences to Taxbit partners and customers 
• Supporting critical client projects in automation and process improvement by leveraging Taxbit’s software solutions 
• Defining business needs related to digital asset trading and transaction data across equities, commodities, fiat, cryptocurrency, etc.
• Tracking client projects, assessing client data, and mapping solution architecture

The ideal candidate for this role is someone who can work with complex transactional data, manage projects from beginning to end, quickly learn new objectives, and problem-solve. Most importantly, you possess a do-whatever-it-takes mentality to ensure our clients have the best possible experience.

Key Responsibilities

• Engage directly with our sales and business development team to execute the go to market expansion strategy, developing enablement materials and providing the necessary tax subject matter expertise training for new regulations
• Engage directly with prospects, with particular focus on accelerating or expanding the largest and/or most strategic deals for Taxbit qualifications
• Knowledge of regulations and processes used to satisfy IRS tax information reporting and AEOI due diligence and reporting
• Partner with Customer Operations to drive engagements with enterprise and public sector customers
• Leverage subject matter expertise in complex digital assets tax and accounting topics to better support Taxbit customers
• Drive analysis on complex data sets received from clients
• Develop and socialize expertise of client data; learn how it can be consumed and integrated into Taxbit’s systems
• Work with Taxbit Engineering and Product teams to ensure accuracy of data integration and completeness of client data
• Evaluate the current needs within partner processes and work cross-functionally to determine how to best meet customer needs
• Develop a deep understanding of our customers and their business, processes, and products through proactive communication and in depth discovery

Desired Skills & Qualifications

• 5-8 years of income tax experience working in public accounting or industry
• Degree in accounting 
• CPA certification
• Exceptional organizational and management skills; ability to juggle multiple projects  and disparate information
• Critical thinker with strong analytical and problem-solving skills; high attention to detail and thoroughness in approach
• Team player who is eager to roll up their sleeves and contribute from day 1; brings a great attitude, work-ethic, and eagerness to learn and develop
• Experience working with data and various data analysis tools in order to organize and normalize data for solution development; proficiency with Excel is a must and working knowledge of SQL, VBA, and business intelligence tools like Alteryx is a plus
• Ready to identify and perform job functions with minimal supervision
• Strong desire to keep up with emerging issues, news, and best practices within the industry
• Aptitude to learn new industry skill sets; primarily digital assets, accounting, and finance

Summary: Join an innovative DeFi analytics platform team as a Test Automation Engineer. In this role, you will ensure the reliability and functionality of our platform by creating and maintaining automated test suites for smart contracts and user interfaces. Your work will be crucial in supporting the rigorous testing of comapny's new feature releases.

Responsibilities:

• Design and implement automated test suites for smart contracts and UI components.
• Collaborate with developers to integrate testing processes into the development lifecycle.
• Identify, document, and track bugs and performance issues.
• Continuously improve and maintain test automation frameworks and tools.
• Analyze test results and work with the team to resolve issues.
• Ensure comprehensive test coverage for all new features and updates.

Required Skills:

• Proficiency with Hardhat, Foundry, or Cypress.
• Strong understanding of DeFi and smart contract testing.
• Experience in automating tests for both backend (contracts) and frontend (UI) systems.
• Solid knowledge of testing methodologies and best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to work effectively within a team environment.

Who We Are 

Build. Scale. Sustain.  

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. 

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence 
• We are positive, courageous, caring, doers and committed to excellence 

About Gen-e2TM 
 
While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: 

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot. 
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. 

With Gen-e2TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence. 

YOUR ROLE AND RESPONSIBILITIES 

As a member of an Agile delivery team, you will be responsible for the design and execution of test automation and quality engineering activities across Web, API, Mobile, Cloud, and Data platforms. You will define and implement test strategies with the team in applying automation, exploratory, performance, and data pipeline testing practices effectively. 

You will: 

• Be responsible for building and maintaining scalable automation frameworks for Web, API, Mobile, Cloud, and Data systems.
• Define and execute test strategies, balancing automation, exploratory, performance, and data testing.
• Implement automation scripts using tools such as Selenium, Playwright, Cypress, Appium, and Katalon.
• Design and execute tests for data platforms, including ETL pipelines, data quality, schema validation, and transformation logic.
• Apply structured test approaches for data engineering workflows (batch vs. streaming, ingestion, transformation, storage, and consumption).
• Integrate automated tests into CI/CD pipelines and ensure reliable execution.
• Perform exploratory testing to uncover gaps not easily detected by automation.
• Support performance, scalability, and reliability testing using tools like JMeter, Gatling, or k6.
• Apply AI-powered QA tools and prompt engineering techniques to accelerate test creation and analysis.
• Collaborate closely with developers, product owners, and business analysts to ensure requirements are testable and automation-ready.

WHO YOU ARE 

• Strong experience in test automation, framework design, and quality engineering.
• Solid background in functional and automation testing across Web, API, Mobile, Cloud, and Data platforms.
• Strong in hands-on coding in Java, JavaScript, Python, or similar languages for automation.
• Hands-on experience in mobile automation testing with Appium and/or Katalon.
• Exposure to performance and load testing.
• Experience with AI/ML-driven test tools and basic prompt engineering.
• Strong background in exploratory testing and modern test design techniques.
• Good understanding of Agile/Scrum delivery.
• Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) and cloud-native testing (AWS, Azure, GCP).
• Excellent collaboration and problem-solving skills. 

BONUS SKILLS 

• Knowledge of data platform & data engineering pipeline testing (ETL validation, streaming, data quality).
• Experience with big data test strategies and analytics validation. 

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa. 

More About PALO IT 

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to: 

• Become a climate net-zero company  
• Deliver projects with a positive impact
• Train 100% of our workforce on impact   
• Achieve B Corp certification among all our offices across the globe   
• Continuously measure & improve employee happiness  

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges. 

What We Offer 

• Stimulating working environments
• Unique career path
• International mobility  
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship 

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

We are hiring for one of our clients. They are a fast-growing Web3 startup rethinking how digital identity and reputation work online. They’re building privacy-first infrastructure that lets users prove who they are and what they’ve done—without giving up personal data. Backed by strong ecosystem partners and a passionate founding team, the company is shaping a more trusted and user-centric internet.

We are seeking a Senior Quality Assurance (QA) Lead to own and elevate quality across the product lifecycle. You will define the QA strategy, and partner closely with Product, Engineering, and Design to ship reliable, secure, and delightful features.

Responsibilities

• Own end-to-end quality across the product suite — from defining QA strategy and test plans to hands-on execution, reporting, and continuous improvement.
• Shape the QA roadmap by setting up effective testing processes, tools, and metrics, ensuring smooth release cycles and data-driven quality tracking.
• Collaborate early and often with product and engineering to refine requirements, user flows, and acceptance criteria — advocating for testability and great user experiences.
• Plan and execute testing at every level (manual and automated): API, UI, integration, regression, and smoke — ensuring solid coverage and reliability.
• Drive smart automation — identify high-value test cases for automation and maintain stable, scalable test suites.
• Track and communicate quality metrics such as defect trends, coverage, and release health to keep the team aligned and proactive.
• Champion a shift-left mindset by embedding QA practices early in discovery and development, and helping engineers take ownership of quality.
• Oversee release readiness — from environment setup and data prep to go/no-go decisions and post-release validation.
• Lead defect management — prioritize fixes, uncover root causes, and turn insights into prevention and process improvements.
• Mentor and scale the QA function, building documentation, standards, and best practices that grow with the team.
• Partner with DevOps and Security to strengthen performance, reliability, and security testing — ensuring compliance and operational excellence.

Requirements

• 7+ years in QA/Software Quality roles with 2+ years leading QA initiatives or teams in a fast-paced product environment.
• Strong expertise in test strategy, risk-based testing, requirements analysis, and release management.
• Hands-on experience with test automation frameworks and tools (e.g., Playwright/Cypress/WebdriverIO, pytest/Jest, Postman/Newman, REST/GraphQL tools).
• Proficiency with CI/CD and version control (e.g., GitHub/GitLab Actions, Jenkins, CircleCI); experience integrating automated tests into pipelines.
• Solid understanding of modern web/mobile architectures, APIs, microservices, and cloud environments.
• Experience with non-functional testing: performance (e.g., k6, JMeter), reliability, accessibility, and security testing practices.
• Data-driven mindset with experience defining and reporting quality metrics and OKRs.
• Excellent communication and stakeholder management; able to translate technical quality issues into business impact and recommendations.

Nice to have

• Understanding of wallets and signing flows (e.g., MetaMask, WalletConnect, EIP-712 typed data), basic key management concepts.
• Exposure to smart contracts and EVM tooling (reading Solidity/ABIs, Foundry/Hardhat test basics, contract events).
• Experience testing dApp UX with wallet connectors, chain switching, and handling pending/confirmed/failed on-chain states.
• Awareness of token standards (ERC-20/721/1155), approvals/permits, and common failure modes (reverts, RPC errors, reorgs).
• Light exposure to wallet-aware E2E automation (e.g., Synpress or Playwright with mocked providers) is a plus.