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________This is an example!________PLEASE NOTE: This position is for testing purposes only within Lever's testing environment. Applications for this job will not be considered.Founded a decade ago, Lever is dedicated to addressing the critical challenge of attracting and hiring exceptional talent. We are at the forefront of developing next-generation hiring software utilized by industry leaders such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify to expand their teams. Our innovative approach to talent acquisition has set us apart as leaders in the industry, and we are eager to find talented individuals to join our rapidly growing team. We take immense pride in our achievements, including being recognized as the #1 workplace in San Francisco and one of the top employers nationwide. Our employees, affectionately known as 'Leveroos', represent our greatest asset, and we are committed to fostering a people-first culture.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Please note that this job listing is intended solely for product testing purposes. Applications are not being accepted.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

Welcome to the Teo Job Test position at reteam! This role is designed to facilitate our internal testing processes. Please note that applications submitted through this platform will not be processed.Position OverviewThis is a unique test job intended solely for evaluation purposes.We appreciate your understanding in this matter.

This is a sample job posting intended for testing purposes only!IMPORTANT: This position is solely for testing within Lever's environment. We kindly ask that you refrain from applying for this role.Founded a decade ago, Lever is dedicated to addressing the critical challenge of attracting and hiring top talent. We are developing the next generation of hiring software that prestigious companies, including Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify, utilize to expand their teams. As pioneers in the field of talent acquisition, we are proud to be recognized as the #1 workplace in San Francisco and among the top workplaces in the United States. Our exceptional team members, affectionately known as 'Leveroos', represent our greatest competitive advantage, and we are committed to nurturing our people-first culture as we continue to grow.

About Distyl AIDistyl AI specializes in creating high-performance AI systems that enhance the fundamental operational processes of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and extensive expertise in enterprise AI, we deliver effective AI solutions with swift time-to-value, often within a quarter.Our innovations have empowered Fortune 500 clients in various sectors, including insurance, consumer packaged goods, and non-profit organizations. Joining our team means you will assist organizations in recognizing, developing, and extracting value from their Generative AI investments, frequently for the first time. We prioritize customer needs, working backward from the client's challenges and ensuring we generate financial benefits while enhancing the experiences of end-users.Distyl is guided by seasoned leaders from top-tier companies like Palantir and Apple and enjoys backing from prominent investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 firms.What We Are Looking ForAt Distyl, we are at the forefront of leveraging AI within enterprises. We seek imaginative researchers who aspire to go beyond incremental enhancements on benchmarks and are eager to redefine the application of software in innovative ways.Our researchers hail from diverse academic disciplines but possess a robust research background, operate in an AI-centric manner, and would find conventional research environments unfulfilling.Key ResponsibilitiesThe AI Systems team is dedicated to architecting complex, comprehensive solutions that integrate perception, reasoning, planning, and execution. Researchers amalgamate various components (LLMs, retrievers, evaluators, memory systems, and execution agents) into resilient, scalable systems that deliver consistent performance across dynamic enterprise workflows.Researchers in AI Systems examine the principles governing intricate system interactions. They analyze coordination, information flow, and emergent behavior across multiple agents and models. Their research reveals the foundational mechanics of robustness, composability, and alignment, ultimately establishing the design paradigm for constructing intelligent systems.

This is a testing position within Lever's testing environment. Please note, this role is not for applicants seeking employment.Lever, established a decade ago, addresses one of the most critical challenges in business: attracting and hiring exceptional talent. We are developing advanced hiring software that leading companies such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify depend on to enhance their teams. Our innovative approach to talent acquisition has positioned us as leaders in our industry, and we are eager to welcome passionate individuals as we continue to grow. We take pride in our workplace culture, recognized as the #1 best place to work in San Francisco and among the top workplaces nationwide. Our team, affectionately known as 'Leveroos', represents our greatest asset, and we remain committed to nurturing our people-first ethos as we scale.

Join Harvey: Innovating Legal ServicesAt Harvey, we're revolutionizing the landscape of legal and professional services from the ground up. By integrating cutting-edge agentic AI, a robust enterprise platform, and extensive domain expertise, we're redefining how essential knowledge work is performed for generations to come.This is a unique opportunity to contribute to a transformative company at a pivotal moment. With over 1,000 clients across more than 58 countries, strong product-market alignment, and backing from prestigious investors, we are rapidly scaling and shaping a new industry category in real-time. Our ambitions are vast, our standards are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is composed of sharp, driven individuals who are passionately aligned with our mission. We operate with agility and intensity, taking full ownership of the challenges we face — from initial concepts to long-term results. We maintain close relationships with our clients — from executives to engineers — collaborating to address real issues with urgency and care. If you thrive in a dynamic environment, strive for excellence, and want to help shape the future of work alongside high-achieving peers, we invite you to join us in building something extraordinary.At Harvey, we’re writing the future of professional services today — and this is just the beginning.Role OverviewWe are seeking an insightful legal researcher with a comprehensive understanding of how law firms, financial institutions, corporations, and various organizations deliver professional services and manage complex legal and knowledge work. We have exceptional product-market fit and demand spanning diverse customer profiles. Meeting this demand requires a deep comprehension of our customers' workflows and the ways in which AI can enhance those workflows.Your ResponsibilitiesIn this role, you will:Contribute subject-matter expertise to support AI research initiatives.Collaborate closely with our engineering, product, and design teams to conceptualize and develop AI systems.Enhance AI systems through prompt engineering, fine-tuning, and other innovative techniques.Create proprietary benchmarks and datasets to assess models and model systems.Engage directly with clients to grasp their workflows, identify challenges, and translate intricate business and legal requirements into technical solutions.Your Qualifications3-7 years of experience in legal research or related fields.Proficiency in understanding legal workflows and professional services delivery.Experience in AI systems development and implementation is a plus.Strong analytical skills and attention to detail.Excellent communication skills, both written and verbal.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Join Fieldguide as the Director of Applied Intelligence and lead our innovative team in harnessing the power of AI technologies to drive exceptional business solutions. You will be at the forefront of transforming data into actionable insights, ensuring our clients achieve their strategic goals.

About ArtisanAt Artisan, we are pioneers in creating fully autonomous AI employees – not mere chatbots or copilots, but digital workers capable of performing meaningful tasks.Our flagship product, Ava, is an AI-powered Business Development Representative (BDR) utilized by hundreds of companies. Ava excels at researching leads, crafting and sending emails in clients' unique voices, managing complex outbound sequences, autonomously optimizing her performance, and even addressing objections while scheduling meetings. She is not just a tool; she is a collaborative teammate.As a proud Y Combinator W24 company, we have successfully raised over $35 million in funding and are currently achieving over $8 million in annual recurring revenue (ARR). We are now embarking on the development of Ava 2.0, which will redefine the capabilities of AI employees. The engineering challenges involved are substantial, and the scope of our project is vast.Role OverviewJoin our innovative team as the third Applied AI Engineer at Artisan! You will be instrumental in pushing the boundaries of AI employee capabilities and guiding our product's future direction.Evaluate LLMs: Select optimal models for various tasks while considering cost, latency, reliability, and accuracy.Architect Prompt Frameworks: Design agent behaviors for Ava's essential workflows such as email generation, chat interactions, meeting scheduling, prospect research, and more.Optimize Multi-Step Agent Chains: Implement retrieval-augmented generation (RAG), integrate web searches, and utilize tools like CRMs and APIs.Drive Infrastructure Decisions: Lead choices related to routing, orchestration, evaluation loops, and persistent memory for agents.Build Safety and Trust Mechanisms: Collaborate with the product team to design user guardrails, fail-safes, and success metrics.Explore Emerging Modalities: Investigate and deploy voice AI, talking head technology, and multi-modal reasoning to enhance Ava's human-like interactions.Design Autonomous Agent Workflows: Create workflows that enable strategic decision-making, real-time self-optimization, and measurable outcomes.Location: San Francisco, New York, or Remote USATeam: AIReports to: CPTO, Sam Stallings

Join Our Mission at Abby CareAt Abby Care, we are dedicated to transforming the landscape of family caregiving, addressing one of the most significant challenges of our time. Our goal is to empower over 50 million unpaid family caregivers across the United States by providing them with the training and support they need to get compensated for the invaluable care they provide at home.We are developing a cutting-edge, tech-driven family-first care platform designed to enhance care delivery, improve health outcomes, and ensure a superior experience for families nationwide. As we expand our impact, we are seeking passionate individuals to join our team. With partnerships alongside leading insurance providers, healthcare organizations, and community groups, we are backed by top-tier, mission-driven venture capitalists who share our vision of supporting families throughout the country.Our team comprises high-caliber professionals with backgrounds at renowned companies such as Uber, Scale AI, DoorDash, Dropbox, and Meta. Together, we are reimagining family caregiving.Your Role as an Applied AI EngineerWe are on the lookout for a skilled and motivated Applied AI Engineer to join our dynamic team. Reporting to the VP, Head of Engineering, this full-time position is based in San Francisco, CA, with an in-person presence required four days a week.In this role, you will play a crucial part in designing and building AI-driven products that serve as intelligent copilots for families and healthcare providers. You will create AI systems that facilitate family caregiving, enhance clinician support in care delivery, and explore innovative home-based care models. Your work will involve hands-on engagement with AI models and real-world clinical and operational data, contributing to the evolution of AI-assisted caregiving and shaping the future of care as a key early engineer.

Join the Visionaries at Automat!At Automat, we are a collective of innovative technologists hailing from prestigious backgrounds at Google Creative Lab and Samsung’s innovation Think Tank. Our mission is to transform the future of business through intelligent agents that enhance operational efficiency and eventually manage enterprises autonomously. We are leaders in redefining Enterprise AI Agents and Intelligent Document Processing, creating cutting-edge tools and infrastructure to seamlessly integrate AI advancements into practical applications.We cherish curiosity, teamwork, and impactful contributions over strict credentials. If you are passionate about AI and automation, excel in dynamic and creative settings, and yearn to engage in groundbreaking projects, we invite you to apply!While this is a senior role, we believe that unique talents and perspectives can surpass traditional experience metrics. We seek an individual who can make an immediate impact from day one and contribute to our team’s learning journey.Your RoleAs an Applied AI Engineer, you will operate at the crossroads of product development, engineering, and research. You will work hand-in-hand with skilled engineers and end users to create innovative tools for our internal teams and external clientele. Your contributions will help shape technical solutions, guide strategic initiatives, and enrich our company culture.Key Responsibilities:Collaborate with product and engineering teams to gain insights into customer challengesResearch and implement real-world applications of advanced AI modelsDesign and execute impactful solutions for both internal tools and customer-facing productsInfluence engineering practices, guide product development, and foster a collaborative cultureWhat Motivates You:A passion for curiosity, creativity, and quick adaptationCreating full-stack applications that bring AI to lifeKeeping abreast of the latest trends in AI and LLM prompting techniquesChallenging the limits of what is achievable with AI agentsThriving in fast-paced, collaborative environments

About WorkOS WorkOS is revolutionizing the developer landscape by creating cutting-edge tools and APIs that empower businesses to achieve Enterprise Ready status. Our platform is the backbone for authentication, identity management, authorization, and other essential infrastructures, enabling developers to securely scale their products for large enterprises.Having recently secured a $100M Series C funding round, valuing the company at $2B, we are supported by leading investors such as Meritech, Sapphire, Greenoaks, Craft, Abstract, and Audacious. WorkOS is proud to serve many of the fastest-growing AI companies, including OpenAI, Cursor, Perplexity, Vercel, and Plaid.As AI technology evolves, WorkOS stands at the forefront of Human and Agent Authentication, Identity, and Access Control, helping businesses navigate crucial questions about agent identity and permissions. Our rapidly expanding customer base features hundreds of innovative software companies developing the next generation of enterprise-ready solutions.About the RoleWe are assembling an Applied AI team dedicated to significantly enhancing productivity across Engineering, Sales, Support, and Operations while also developing AI functionalities for our clients.As an Applied AI Engineer, you will design and deploy transformative AI systems that redefine how WorkOS develops, markets, and supports its software. You will focus on creating robust tools and workflows that are essential for daily operations, while also exploring novel AI capabilities for our users.Join a small, high-ownership team that:Identifies challenges based on measurable impact.Rapidly transitions from idea to prototype to production in days or weeks.Quickly adapts to evolving models, tools, and best practices.This role offers substantial visibility across the organization.What You’ll DoCollaborate closely with Engineering, Sales, Support, and Operations to identify high-impact internal challenges where AI can enhance efficiency or facilitate new workflows.Design and construct tools that integrate seamlessly into daily operations—agents, automations, and workflows that are reliable, observable, and easy to maintain.Leverage LLMs, embeddings, retrieval systems, and tool-calling to connect with documents, Slack, GitHub, CRM systems, analytics, support frameworks, and internal services.Transform repetitive, multi-step manual tasks into streamlined, AI-driven processes that span various applications and data sources.Stay informed about emerging models and tools, conduct focused experiments, and assist the team in continuous improvement.

Role Overview:As an Applied AI Engineer at Mem0, you'll lead the charge from concept to execution. Your mission is to transform abstract customer use cases into tangible proofs-of-concept that vividly demonstrate Mem0's capabilities. This entails rapid full-stack prototyping, leveraging AI tools, and rigorously experimenting with memory retrieval methodologies until the end-to-end use case is operational. Collaborating closely with Research and Backend teams, you'll clearly communicate trade-offs and deliver successful prototypes ready for production refinement.Your Responsibilities:Develop Proofs of Concept: Create comprehensive demos (UI + APIs + data) that seamlessly integrate Mem0 into customer workflows.Innovate in Memory Retrieval: Experiment with various embeddings, indexing techniques, hybrid search, re-ranking, chunking/windowing, prompts, and caching to achieve optimal task-level quality and latency.Collaborate on Prototypes: Implement groundbreaking ideas and techniques sourced from academic research, compare them against established baselines, and adopt the most effective solutions.Design Evaluation Frameworks: Establish small gold sets and lightweight metrics to assess POC success; equip demos with basic telemetry.Integrate AI Tools: Combine LLMs, vector databases, Mem0 SDKs/APIs, and third-party services into cohesive workflows.Foster Close Collaboration: Work alongside Backend teams to establish clean contracts and data models; collaborate with Research on hypotheses; share insights and future steps.Document and Handoff: Produce clear documentation, scripts, and templates to facilitate rapid production transition by Engineering.Minimum Qualifications:Full-Stack Proficiency: Experience with Next.js/React for front-end development and Python backends (FastAPI/Django/Flask) or Node.js as required.Proficient in Python and TypeScript/JavaScript; capable of building APIs, wiring data models, and deploying quick demos.Hands-on experience with the LLM/RAG stack: embeddings, vector databases, retrieval strategies, and prompt engineering.Proven ability to rapidly prototype: transforming ideas into demos within days, not months; clear documentation of outcomes and trade-offs.Capacity to design small, impactful evaluations for use cases (quality + latency) and iterate based on data-driven evidence.Outstanding communication skills with Research and Backend teams; ability to produce crisp specifications, readable code, and honest status updates.