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Experience Level
Entry Level
Qualifications
The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning. Proficiency in programming languages such as Python or R, and experience with data visualization tools like Tableau or Looker are essential. A solid understanding of SQL for database querying is also required. Strong analytical skills and the ability to communicate complex findings to non-technical stakeholders are crucial.
About the job
Join Stripe, a leading financial technology company, as a Data Scientist where you will leverage data to drive insights and influence strategic decisions. This role involves collaborating with cross-functional teams to analyze complex data sets, build predictive models, and contribute to innovative solutions that enhance our products and services.
About Stripe, Inc.
Stripe is at the forefront of providing economic infrastructure for the internet. Businesses of all sizes use Stripe to accept payments, send payouts, and manage their businesses online. We are committed to building a diverse team that fosters innovation and drives success in the financial technology space.
Location Details: At GoDaddy, our vision of the future of work varies by team. While some teams are fully office-based, others enjoy a hybrid setup—working remotely on selected days and in the office on others. Some teams operate entirely remotely. This particular role is classified as a hybrid position. You will split your time between remote work from home…
Full-time|$176.6K/yr - $282.5K/yr|On-site|Seattle, Washington, United States
Axon Enterprise, Inc. builds devices and cloud software focused on safety and justice. The company values collaboration, open communication, and diverse viewpoints. Each team member’s work contributes to Axon’s mission to Protect Life. Role overview The Principal Data Scientist joins the Office of the Chief Accounting Officer in Seattle. This is a hands-on role for someone with significant experience in finance and accounting. The focus is on delivering reliable, audit-ready data to support AI developers, process managers, decision-makers, and auditors across the company. Main responsibilities Develop analytics tools and data pipelines, applying AI to accelerate development. Contribute to large-scale projects such as M&A integration, ERP deployments, data remediation, and SOX compliance efforts. Work closely with teams in Controllership, Finance Operations, FP&A, Internal Audit, and Technology. Design and implement data architecture that supports AI, automation, and audit-readiness. Use AI-assisted development tools, including code generators and large language models, as part of daily work. Who will thrive This position fits someone who combines deep technical expertise with a solid background in finance and accounting. Success in this role comes from building analytics solutions and collaborating across departments to shape data strategies that support automation and compliance.
Role overview Opendoor is looking for an Applied Scientist to join the Seattle team. This role is open to candidates from mid to principal levels. The position centers on applied machine learning and artificial intelligence, with a focus on improving the company’s valuation systems. The work directly supports more accurate and transparent pricing for customers. What you will do Develop and refine machine learning models that power Opendoor’s pricing and valuation systems Tackle a variety of machine learning challenges, such as multi-modal modeling and optimizing operations Work with both structured and unstructured data to strengthen decision-making processes Contribute to projects that influence how Opendoor delivers value to customers Location This position is based in Opendoor’s Seattle, Washington office.
Join Stripe, a leading financial technology company, as a Data Scientist where you will leverage data to drive insights and influence strategic decisions. This role involves collaborating with cross-functional teams to analyze complex data sets, build predictive models, and contribute to innovative solutions that enhance our products and services.
Full-time|$159.8K/yr - $255.6K/yr|Hybrid|Seattle, Washington, United States
Join Axon and Make a Difference.At Axon, we are dedicated to our mission of Protecting Life. As pioneers in addressing critical safety and justice issues, we leverage our innovative ecosystem of devices and cloud software to create impactful solutions. Our collaborative culture thrives on open communication and diverse perspectives, enabling us to serve our customers and communities effectively.Working at Axon is dynamic, challenging, and rewarding. Here, you will have the opportunity to take charge and enact real change, all while contributing to a mission that truly matters.Your InfluenceWe are on the lookout for a talented and forward-thinking Senior AI Research Scientist to join our new team focused on video and multimodal search and retrieval-augmented generation (RAG). In this pivotal role, you will help develop AI solutions that significantly impact both enterprise and public safety sectors, aligning with our mission to accelerate justice, uphold truth, and save lives. You will push the boundaries of machine learning and multimodal technologies, applying your research to craft new, responsible AI capabilities for Axon products. Collaborating with product managers, engineers, and cross-functional teams, you will train models and develop state-of-the-art algorithms that promote intelligent understanding of visual and multimodal data.At Axon, we aspire to achieve great things. If this role and our mission resonate with you, we encourage you to apply, even if your experience doesn't perfectly match all qualifications. You may be the ideal candidate for this or other positions.
About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.
Full-time|$290.3K/yr - $500.4K/yr|On-site|Seattle, Washington, United States
Be a Catalyst for Change at Axon.At Axon, we're committed to safeguarding lives and enhancing public safety through innovative technology. Our dedicated team explores the pressing challenges of safety and justice, harnessing the power of our devices and cloud software to create effective solutions. We thrive in an environment where collaboration and diverse perspectives lead to groundbreaking developments.Working at Axon means embracing a fast-paced and meaningful career where your contributions truly matter. Take charge of your work, drive significant change, and grow alongside a mission that makes a difference.Your Role in Advancing TechnologyWe are looking for exceptional and forward-thinking Machine Learning Scientists to join our AI team. This position focuses on cutting-edge applications in Large Language Models (LLM) and Computer Vision, applicable to our Cloud, Devices, and Robotics sectors. As a vital contributor to our research and development, you will help propel advancements in LLMs, Multimodal Language Models (MLLMs), Computer Vision, and Generative AI technologies tailored for law enforcement and other sectors. Collaborate with diverse teams to design, develop, and implement innovative models and algorithms that facilitate intelligent reasoning, perception, and understanding of multimodal data.
About GalvanickGalvanick is at the forefront of cybersecurity, dedicated to safeguarding the industrial sector from cyber threats. Our innovative threat detection platform is designed to protect Operational Technology (OT) systems and networks from both criminal attacks and state-sponsored threats. Join a dynamic startup environment where passionate professionals work collaboratively to tackle significant cybersecurity challenges. We are proud to be supported by leading investors such as Founders Fund, Village Global, and MaC Venture Capital.About the RoleWe are on the lookout for a skilled Data Scientist & Developer to join our team. In this hybrid role, you will collaborate with cybersecurity experts, enhancing their analytical capabilities. You will contribute directly to our mission of securing national infrastructure through advanced analytics and software development to identify cyber threats affecting critical systems. This position offers a unique opportunity to apply your data science expertise while actively engaging in coding and enhancing our production codebase.Your responsibilities will include analyzing complex security datasets, developing analytical tools, and supporting our detection engineering processes. If you are eager to simplify challenges and provide effective solutions for our customers, we would love to hear from you.What You Will Do* Collaborate with Detection Engineers to translate detection needs into data and analytical tool requirements.* Enhance our data platform and develop tools that fulfill those requirements.* Create methods to assess detection accuracy and minimize false positives.* Design data models to identify behavioral patterns indicative of cyber threats in OT settings.* Conduct exploratory data analysis on security incidents to reveal hidden correlations and attack strategies.* Generate key metrics and KPIs to evaluate detection effectiveness and data utilization; provide insights on data pipeline enhancements and integration of new data sources.
About Outpace BioOutpace Bio is at the forefront of revolutionizing cell therapy for solid tumors, leveraging cutting-edge AI-driven protein design. Our mission focuses on programming immune cells to enhance their functionality within patients, addressing critical challenges such as inadequate tumor access, limited cell survival, antigen escape, and dose-related toxicity. By developing and integrating modular, plug-and-play technology assets, we are creating cell therapies that promise unprecedented efficacy, fundamentally transforming the interaction of engineered T cells with cancer and the immune system to achieve life-altering results. Our diverse team of scientists, engineers, coders, and cell therapy developers operates at the vanguard of computational protein design, synthetic biology, and immunology. Together, we are reimagining cellular functions to unlock new therapeutic avenues.Our Commitment to DiversityWe recognize that high-performing teams thrive on diverse backgrounds and experiences. At Outpace Bio, we are dedicated to fostering an inclusive culture for all employees. We encourage applications from individuals who feel they could contribute to our mission of curing diseases by pushing the boundaries of biology, even if they do not meet every qualification listed.Our MomentumIn August 2024, Outpace Bio successfully raised an oversubscribed $144 million Series B financing round, led by RA Capital Management and backed by a distinguished group of life science investors. This funding will accelerate our pipeline of programmed T cell therapies, including our lead candidate OPB-101, a mesothelin-specific chimeric antigen receptor (CAR) T cell enhanced by our proprietary OUTSMART™, OUTLAST™, OUTSPACER™, and OUTSAFE™ technologies. OPB-101 is on track for IND clearance and first dosing in 2025 for patients with advanced platinum-resistant ovarian cancers. The Series B investment will also enable us to expand our pipeline, allowing the development of additional transformational therapies.
Full-time|On-site|Seattle, Washington, United States
As a Forward Deployed Engineer (FDE) at Palona AI, you will serve as a crucial link between our innovative product and engineering teams and our valued customers. Your role involves embedding directly with users to understand their unique challenges and translating those insights into cutting-edge technical solutions. You'll be responsible for deploying production-grade AI systems, managing deployment complexities, influencing product development, and spearheading impactful customer-facing initiatives.Key Responsibilities Collaborate with customers to define, design, and implement AI systems that solve real-world business challenges. Build and integrate production-ready AI applications tailored to customer infrastructures. Create and present engaging demonstrations and prototypes that highlight the capabilities of our AI technology. Ensure the reliability, safety, and performance of AI agents once deployed in production settings. Gather customer feedback and insights to inform continuous product and agent enhancements.
Are you an ambitious and dedicated professional eager to advance your career in a dynamic consulting and engineering firm? If you're seeking a workplace that champions your growth and invests in your skill development, look no further than Apex!Apex Companies, a leader in the engineering and environmental consulting sector, is experiencing remarkable growth driven by record sales, client loyalty, strategic acquisitions, and a forward-thinking entrepreneurial spirit. Recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry, we pride ourselves on delivering unparalleled service and have received numerous accolades for our project excellence. Join our journey of growth and innovation!Apex is expanding its environmental leadership team in the Seattle Metro area, and we are on the lookout for a talented Professional Engineer or Geologist to lead the growth of our regional environmental practice. This role presents an exciting opportunity to develop a thriving consulting practice that addresses some of the most complex and dynamic projects within the Puget Sound region.Key Responsibilities:Lead and expand Apex’s regional environmental consulting practice, focusing on site characterization, investigation, and remediation of upland and waterfront sites.Build and maintain trusted relationships with clients, acting as a strategic advisor to both long-term partners and new business opportunities.Manage high-profile projects, ensuring technical excellence, regulatory compliance, and successful environmental outcomes.Effectively collaborate and communicate key technical concepts with regulators, stakeholders, and project partners.Drive growth and profitability across the practice.
Join Oumi as a Research ScientistAbout Oumi: Oumi is committed to democratizing frontier AI, believing that collective and open development is essential for its safe and efficient advancement. Our mission is to provide the safest, highest quality, and most adaptable AI technologies to empower individuals and organizations, ultimately benefiting humanity as a whole.Our Solutions: Oumi offers a comprehensive platform for building advanced AI models, facilitating every stage from data preparation to model training and deployment. We collaborate with academic partners and the broader community to enhance open foundation models.Our Values: At Oumi, our foundation is built on open-source principles and collaboration. Our endeavors are:Research-driven: Conducting and sharing original AI research in partnership with global academic institutions.Community-focused: Encouraging contributions from researchers and developers worldwide.Accessibility-oriented: Designing our platform to lower barriers for organizations of all sizes to engage with AI.Position SummaryAs a Research Scientist at Oumi, you will play a crucial role in our research team, focusing on the advancement of Large Language Models (LLMs), Vision Language Models (VLMs), and associated technologies. Your work will involve pioneering research, engaging in open-source projects, and collaborating with fellow researchers and engineers on various dimensions of LLM/VLM development including training, evaluation, data curation, and benchmark formulation.Key Responsibilities:Model Development: Engage in research to develop and assess innovative LLMs, VLMs, and other AI models, exploring novel architectures and training methodologies.Data Curation: Create strategies for assembling high-quality datasets for LLM training and evaluation, employing techniques such as data synthesis.
Full-time|$161K/yr - $175K/yr|On-site|Seattle, Washington, United States
Since our inception, Possible Financial has transformed the landscape of small-dollar loans, providing over $1 billion in funding to more than 1.5 million customers, issuing over 4 million loans, and saving our clients more than $650 million.At Possible, we are pioneering a new model in consumer finance, one that empowers our customers to avoid debt instead of profiting from it. As a Public Benefit Corporation, our mission is to foster economic mobility in communities through affordable credit solutions that enhance financial health for generations to come. Join the team that is realizing this vision.Team OverviewThe data science team is integral to our rapidly growing organization, building the models, tools, and analytical frameworks that drive our decision-making, risk monitoring, and operational efficiency at scale. We are looking for a Data Scientist to bridge analytics, model governance, and internal tooling, enhancing our ability to support the teams and systems that enable Possible to operate swiftly and effectively.Role ResponsibilitiesYou will establish a structured framework for assessing new data sources and modeling methods. Your analyses will clearly outline assumptions that influence our data vendor budget and investment strategies. You will develop model monitoring and governance infrastructure, transitioning it from a reactive compliance measure to a proactive resource. Working collaboratively across departments, you will create analytical tools and automations that alleviate bottlenecks, allowing teams to access data independently and derive insights without frequent reliance on advanced analytics.
Full-time|$122K/yr - $150.8K/yr|On-site|Seattle, Washington, United States
Umoja Biopharma is building integrated immunotherapy platforms to change how cancer is treated. With teams in Seattle, WA and Louisville, CO, the company is working to make off-the-shelf therapies available for many types of tumors. Both locations support a diverse and expanding team focused on advancing science and technology to benefit patients. Role overview This laboratory-based Scientist, Analytical Development position is part of Umoja’s technical operations team in Seattle. The main focus is on evaluating and improving the potency of lentiviral drug products. Key responsibilities include developing potency assays for drug substances and products at different stages, as well as preparing data packages for regulatory submissions. What you will do Develop and refine potency methods for lentiviral drug products throughout various development stages. Prepare and compile data and documentation for regulatory submissions. Work with cross-functional teams to deliver qualified and validated quality control release and characterization assays. Create documentation for analytical methods and results. Oversee method transfer processes to contract manufacturing organizations (CMOs) or contract research organizations (CROs). Location and schedule This is a full-time, on-site role in Seattle, WA. Laboratory presence is required five days a week.
About UsAt Hiya, we are dedicated to transforming voice communication into a safe, valuable, and human experience once more.In a world where voice has become one of the least trusted forms of communication due to spam, scams, and AI manipulation, we are on a mission to restore its integrity.Every month, our advanced AI voice technology processes over 28 billion calls, safeguarding more than 550 million users and supporting over 800 businesses worldwide. We collaborate with a growing network of global partners, including AT&T, Samsung, British Telecom EE, Rogers, MasOrange, Bell Canada, MasMovil, and Virgin Media O2. Our work not only thwarts malicious actors but also empowers individuals to confidently answer their phones again.As we navigate a pivotal moment in voice technology, the demand for reliable communication is skyrocketing. Hiya is experiencing over 40% annual growth, expanding our reach globally, and redefining the future of voice.Join our team to not only contribute to the present of voice but to shape its future: more intelligent, secure, and genuinely worthy of answering.About the RoleAs an AI Engineer, you will play a critical role in developing and integrating AI solutions into Hiya’s product offerings. Your focus will be on rapid iteration, prompt engineering, and practical applications. You'll optimize foundational models, design complex multi-agent systems, and innovate solutions that will drive the next generation of voice intelligence.Key ResponsibilitiesIntegrate AI solutions into our current products and workflows.Collaborate with cross-functional teams to comprehend business needs and convert them into technical solutions.Conduct evaluations and fine-tuning of large language models (LLMs) through prompt engineering.Manage and implement AI orchestration, including agent-based systems.Contribute to the design and development of AI-driven applications and interfaces.Help define the technical direction and best practices for LLM application development.Stay updated with the latest AI research and apply cutting-edge techniques.Qualifications for SuccessStrong programming skills in languages such as Python, JavaScript, or TypeScript.Experience with foundational models and AI orchestration.Familiarity with model evaluations and prompt engineering methodologies.
About the RoleRavenna is seeking a talented AI Engineer with a strong background in developing and deploying production-level systems. Our innovative team merges cutting-edge advancements in large language models (LLMs) with established machine learning methodologies to create intelligent product experiences that stand out in the market.This position demands solid engineering principles and an insatiable curiosity about the operational aspects of AI systems. You will be responsible for designing, constructing, and maintaining LLM-powered systems that are reliable, scalable, and seamlessly integrated into our product workflows.Your role will encompass the full technology stack, from designing AI architectures to building backend infrastructures and implementing product features. You will iterate rapidly based on user feedback and performance evaluations. At Ravenna, we emphasize robust engineering practices and expect our AI Engineers to be meticulous about system design, observability, performance, and reliability.If you are passionate about leveraging advanced AI to transform established markets, we would love to hear from you.ResponsibilitiesBuild Production AI SystemsDevelop and implement systems that seamlessly integrate LLMs into real-world product workflows, including prompt pipelines, tool integrations, and structured outputs.Design Reliable LLM ArchitecturesCreate robust systems that anticipate model limitations and potential failure modes, incorporating safeguards, retries, evaluation loops, and observability into production-ready LLM features.Develop Evaluation and Experimentation FrameworksEstablish evaluation datasets and tools to measure model performance, facilitate system design iterations, and prevent regressions as models and prompts evolve.Build Retrieval and Knowledge SystemsDesign and optimize retrieval pipelines that support LLM applications, focusing on chunking strategies, indexing methods, vector search, and enhancing the quality and speed of knowledge retrieval.Ship High-Quality Product FeaturesCollaborate with product, design, and engineering teams to develop polished features that utilize AI in user-friendly and impactful ways.Maintain Strong Engineering StandardsWrite clean, maintainable, and well-tested code. Contribute to system architecture, engage in code reviews, and participate in engineering processes to ensure platform reliability and scalability.
Full-time|$190K/yr - $210K/yr|On-site|Read AI - Seattle HQ
About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.
Full-time|$180K/yr - $220K/yr|On-site|Read AI - Seattle HQ
Read AI develops tools that add intelligence to team collaboration, helping groups stay productive across meetings, messaging, and email. The platform connects with Zoom, Microsoft Teams, Google Meet, and Slack, making it easier for teams to coordinate and move projects ahead from anywhere. With $81 million in backing from Smash Capital, Madrona, and Goodwater Capital, Read AI is expanding its impact on AI-powered teamwork. Role overview This Senior Fullstack Software Engineer position is based at Read AI’s Seattle headquarters. The role involves both hands-on feature development and shaping the technical direction of the product. The engineer will design scalable systems, establish coding standards, and help define the technical roadmap. The work spans complex backend logic and building responsive, reliable user experiences. Read AI values engineers who are comfortable with ambiguity, mentor others, and focus on building systems that stand the test of time. What you will do Architectural leadership: Design and implement scalable web applications and distributed systems across the stack. Technical excellence: Maintain high code quality through code reviews, automated tests, and clear documentation. System ownership: Take responsibility for major product areas from initial design through deployment and ongoing improvement. Cross-functional strategy: Collaborate with Product and Design to shape the roadmap, balancing technical feasibility and scalability. Performance and reliability: Address issues affecting application speed, database performance, and frontend rendering. Mentorship: Support mid-level and junior engineers, encouraging best practices and ongoing learning. DevOps culture: Improve CI/CD pipelines, observability, and infrastructure-as-code. Location This role is on-site at Read AI’s Seattle HQ. Learn more Find additional information at https://www.read.ai/.
Join Prosidian Consulting as a PPM Data Scientist/Statistician II in Seattle, WA. We are looking for a passionate data scientist with a strong background in statistical analysis and project portfolio management (PPM). This role requires a detail-oriented professional who excels in data interpretation and has a knack for transforming data into actionable insights.
Full-time|$180K/yr - $240K/yr|On-site|Read AI - Seattle HQ
About Read AIAt Read AI, we are revolutionizing team collaboration by infusing intelligence into every interaction. Our innovative platform enhances productivity across meetings, messages, and emails, enabling work to be completed more efficiently and with greater focus. We seamlessly integrate with popular tools such as Zoom, Microsoft Teams, Google Meet, and Slack, ensuring that teams remain aligned and productive, regardless of their location.Supported by $81 million in funding from esteemed investors including Smash Capital, Madrona, and Goodwater Capital, Read AI is on an exciting growth trajectory. If you are eager to shape the future of AI-driven collaboration and make a significant impact at a dynamic startup, we are excited to hear from you.The RoleAs a Software Engineering Manager at Read AI, you will spearhead a team dedicated to crafting the core product experiences that our users rely on daily. This is a hands-on leadership role ideal for someone with extensive React.js expertise and a solid foundation in UI/UX design. You will set high standards for quality, performance, accessibility, and design collaboration while guiding the team to deliver impactful features rapidly and consistently.You will collaborate closely with Product Design, Product Management, and cross-functional engineering teams to create intuitive, aesthetically pleasing, and scalable user experiences that empower millions of users. We particularly value leaders who leverage data, metrics, and experimentation to inform decisions, assess outcomes, and iterate swiftly.What You’ll DoLead and nurture a frontend engineering team through hiring, coaching, performance evaluations, and career development.Establish the technical direction for React.js architecture, performance, accessibility, and overall quality.Collaborate with Design and Product teams to create cohesive and elegant user experiences.Develop and refine a component and design system to enhance speed and consistency of delivery.Utilize metrics and user feedback to prioritize initiatives and continuously enhance the product.Promote an experimentation culture (A/B testing, feature flags, iterative feedback loops) to enhance user experience and engagement.Oversee execution from planning to launch, balancing speed with engineering excellence.Establish and reinforce best practices including testing, code reviews, observability, and reliable release processes.What We’re Looking ForProven experience in leading frontend engineering teams.Deep understanding of React.js and frontend technologies.Strong background in UI/UX design principles.Ability to use data to drive decisions and improvements.