Growth Marketing Manager

At Reducto, we empower AI teams to seamlessly process real-world enterprise data with unparalleled precision. Our innovative technology transforms complex, unstructured file formats like PDFs and spreadsheets into accessible data, enabling organizations to develop products, train models, and automate workflows efficiently and at scale.Our rapid growth is evi…

About FaireFaire is a cutting-edge online wholesale marketplace driven by the belief that the future is local. Independent retailers around the world generate more revenue than giants like Walmart and Amazon combined, yet individually, they often struggle against these behemoths. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover and sell exceptional products from around the world. With the right tools and insights, we aim to level the playing field, allowing small businesses to compete effectively with large retail chains and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We’re in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you share our belief in community, we would love to welcome you to ours.About this Role:We are on the lookout for a Principal ML / AI Engineer to serve as a company-wide technical thought leader and practitioner in shaping the future of Data and AI at Faire. This unique opportunity allows you to influence broad technical strategies across data, engineering, and product while engaging directly with pioneering AI research and applications. This role will report directly to the CTO of Faire.Your Responsibilities:Shape the AI Vision – Collaborate with product, design, strategy & analytics, machine learning, and the wider engineering leadership to define how AI can unlock transformational value for Faire’s retailers and brands. Provide thought leadership to guide company-wide priorities, particularly focusing on product strategy and key investment areas.Prototype and Unblock – Lead the development and implementation of AI systems (such as LLM fine-tuning, RLHF, agent frameworks, etc.) that illustrate what’s achievable and promote adoption across teams. Act as a “super individual contributor” who can delve deeply into technical challenges, enabling the engineering organization to advance quickly with AI and amplify both development and impact.Architect the AI-Ready Stack – Design Faire’s technical ecosystem, encompassing event logging, data warehouses, feature stores, and model serving, to ensure our infrastructure is AI-ready, scalable, and optimized for rapid experimentation.

About FaireFaire is a revolutionary online wholesale marketplace that champions the belief that the future of retail is local. Independent retailers worldwide generate more revenue collectively than giants like Walmart and Amazon, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we facilitate their access to exceptional products from around the globe. By providing the right tools and insights, we aim to level the playing field, enabling small businesses everywhere to thrive against e-commerce giants.By nurturing the growth of independent businesses, Faire is making a significant economic impact in local communities, worldwide. We seek intelligent, resourceful, and passionate individuals to join us in driving the shop local movement. If you believe in the power of community, we invite you to become a part of ours.About this RoleAs a Senior Applied AI/ML Scientist within the Search group, you will play a pivotal role in shaping the technical vision and machine-learning strategy that drives one of our core growth areas: Search. You will enhance real-time Search and Recommendation systems that deliver next-generation shopping experiences.You'll be at the forefront of algorithm development, integrating large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized product suggestions for every user query.This is a unique opportunity to influence end-to-end personalization in a high-scale, multi-modal environment while collaborating closely with a talented team of scientists and engineers.

About FundamentalAt the forefront of AI innovation, Fundamental is revolutionizing enterprise decision-making. Founded by alumni from DeepMind, we have engineered NEXUS – the most advanced Large Tabular Model (LTM) designed specifically for the structured data that drives critical business decisions. Supported by top-tier investors and trusted by Fortune 100 firms, Fundamental is unlocking unprecedented value, empowering businesses with the Power to Predict.As a team member at Fundamental, you will tackle groundbreaking technical challenges in foundation model development while building solutions that redefine decision-making for the world's largest enterprises. This is your chance to contribute to a pioneering company from its inception and help shape the future of enterprise AI.About the RoleWe are on the hunt for a Forward Deployed Machine Learning Engineer who will facilitate the implementation of NEXUS and collaborate closely with clients to solve complex technical problems.As a vital member of our Forward Deployed Engineering (FDE) team, you will drive the successful deployment of our products, demonstrating their value against legacy systems and new use cases. You will work directly with clients from the Proof of Value stage through to post-implementation, ensuring our solutions operate seamlessly within their production environments.In this role, you will manage relationships with multiple stakeholders, including IT departments, C-suite executives, and data science teams, acting as a key intermediary to translate field insights into actionable inputs for our product roadmap.Key ResponsibilitiesDeploy solutions into production that deliver significant business impact, transitioning from experimental phases to clear ROI.Conduct thorough benchmarking against existing client solutions (like XGBoost and LightGBM), undertaking data engineering, feature engineering, and validation tasks.Collaborate with our research and product teams to convert operational challenges and data discrepancies into critical inputs for our product strategy.Contribute to technical strategy by identifying relevant business problems, preventing data leakage, and managing last-mile integrations (VPC, on-premises, air-gapped environments).Work alongside Sales and Solution Architect teams to align diverse stakeholders and effectively communicate predictions to business users.

Join Cloudflare as a Principal Software Engineer, where you will play a pivotal role in designing and implementing innovative software solutions. You will collaborate with cross-functional teams to enhance our platform's scalability, security, and performance, making a significant impact on our global user base.

Join Cloudflare as a Business Systems Analyst, where your analytical skills will help drive our mission of building a better internet. In this role, you will collaborate with cross-functional teams to enhance and optimize our business processes using data-driven insights.

Join speak as a Lead Product Analyst and play a pivotal role in shaping the future of our products. In this crucial position, you will leverage your analytical expertise to guide product decisions and ensure that our offerings meet the needs of our diverse user base. Collaborate with cross-functional teams to analyze data, derive insights, and contribute to our strategic direction.

Join fuku as an Applied Research Engineer in San Francisco, CA, where you will be at the forefront of AI video data research. As a crucial member of our team, your mission will involve building robust, high-performance frameworks and extensive pipelines to process and decode video data with exceptional accuracy. You will tackle complex research challenges, refine machine learning models and APIs, and deliver comprehensive solutions across computer vision, audio, and text processing domains. This role is designed for engineers who thrive in both research and production environments and are eager to spearhead the evolution of video understanding from research to deployment.

Join Airtable as an AI Analytics Engineer, where you'll play a pivotal role in transforming business insights through advanced data analytics and AI technologies. Collaborate with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.

Join our dynamic team at Midstream as a Frontend Software Engineer. In this role, you will leverage your technical expertise to design and implement innovative web applications that enhance user experience. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet our clients' needs.

About Scality:At Scality, we address the most pressing data storage challenges faced by organizations today, including security, performance, and cost-effectiveness. Our solutions are engineered to deliver unparalleled immutability and comprehensive cyber resilience, ensuring data protection across five critical levels for robust ransomware defense. With Scality, storage infrastructures become infinitely scalable in every crucial aspect. The most discerning enterprises rely on Scality to accelerate their growth and leverage AI-driven data initiatives swiftly, all while enhancing operational efficiency and preventing vendor lock-in. As a recognized leader by Gartner, our Scality S3 object storage software is not only reliable and secure but also sustainable. Follow us on X and LinkedIn, and explore www.scality.com and our blog for more insights.Role Overview:As the Channel Sales Manager, you will play a pivotal role in shaping and executing Scality's indirect sales strategy through key channel partners, resellers, and system integrators. This position emphasizes fostering collaboration between Scality's US sales teams and our channel partners to drive revenue sourced and influenced by these partnerships.Your success will be gauged by effective go-to-market strategies, pipeline development, and overall bookings. Responsibilities encompass building strategic relationships alongside proactive sales execution to promote revenue growth and market expansion within our partner ecosystem.We seek a candidate with substantial experience working with Value-Added Resellers (VARs), System Integrators, and distributors. You should excel at empowering partners and coordinating co-selling initiatives, combined with a robust understanding of the data infrastructure landscape.

About PoesisPoesis is a pioneering AI-native investment manager that is transforming the landscape of U.S. equities through innovative foundation models. We are developing cutting-edge AI systems designed to predict market trends and exceed the performance of traditional investment managers. This exciting work represents frontier research that is validated in real-world scenarios. Your contributions will play a crucial role in influencing investment strategies and enhancing portfolio outcomes.Location & WorkstyleLocated in the vibrant San Francisco Bay Area, near Stanford, we support a Hybrid work model, requiring several days on-site each week.Relocation assistance is available.About the RoleAs a Founding Machine Learning Engineer, you will be the first full-time ML hire at Poesis, responsible for translating research and data into scalable production models. You will develop the initial ML pipelines from the ground up, managing everything from data ingestion and preprocessing to model training, validation, and signal generation. This role is ideal for a hands-on professional who excels in coding, designing experiments, and quickly delivering validated results.You will collaborate closely with the CEO and Chief Scientist, taking ownership of both the implementation process and iterative improvements. As the system scales, you will help transition it into a full production platform and establish best practices for future team members.ResponsibilitiesDesign, develop, and maintain the foundational ML infrastructure for Poesis’ investment platform.Create reproducible pipelines for data ingestion, feature engineering, and model training.Establish backtesting and evaluation frameworks with defined performance metrics.Provide regular, detailed reports on model accuracy, feature significance, and overall portfolio impact.Work closely with the Chief Scientist to refine model hypotheses and assess production readiness.Ensure high code quality through version control, testing, reproducibility, and thorough documentation.Develop robust backtesting frameworks and model validation tools, incorporating walk-forward evaluation and risk management controls.Integrate with leading financial data providers such as Bloomberg, FactSet, Refinitiv, and CapIQ.Implement foundational MLOps practices, including model versioning, CI/CD, monitoring, and documentation.Define and refine “demo-able” workflows that link model outputs to investment decision-makers.

Join Sonsoft Inc. as a Java Architect specializing in DevOps. In this full-time role, you will leverage your expertise to design and implement high-performance Java applications while collaborating with cross-functional teams to enhance continuous integration and deployment processes.

Airbyte stands at the forefront of open-source data movement, enabling data teams to seamlessly transfer information from diverse applications, APIs, unstructured sources, and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors and a widespread adoption across hundreds of thousands of companies, we have demonstrated the viability of large-scale data integration. Our ongoing mission is to construct an advanced agentic data infrastructure, meticulously designed for AI agents requiring swift and accurate access to data across numerous sources. We aim to make data universally accessible and actionable.Having secured $181M from leading investors such as Benchmark, Accel, Altimeter, Coatue, and Y Combinator, we are committed to a product-led growth strategy where we create exceptional solutions that resonate with our users. This funding empowers us to explore innovative avenues while maintaining a nimble and experimental approach in an AI-driven landscape.The Role:As a critical member of the Data Replication team, you will serve as an infrastructure and reliability engineer within a full-stack product team that executes over 3 million sync jobs weekly, facilitating thousands of data use cases across various regions and cloud environments. You will be responsible for building and maintaining the infrastructure, establishing reliability standards, reducing incidents, and streamlining the shipping process for engineers through enhanced tooling. You should feel equally at home working with Terraform files, Kubernetes clusters, and postmortem documentation.We encourage our engineers to actively leverage AI as a force multiplier—utilizing agentic tools to automate repetitive tasks, enhance incident response, and develop smarter internal tooling. If you haven't yet embraced this approach, we hope you're eager to start. We value how you work just as much as what you produce. Trust, transparency, and craftsmanship are paramount here.What You’ll Do:Take ownership of the infrastructure that supports the Data Replication platform, including Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.Collaborate with product engineers to ensure reliable integration of product features with infrastructure.Enhance observability, alerting, and anomaly detection systems with a focus on LLM automation.Develop and improve AI-augmented release and internal tooling, including canary deployments, progressive rollouts, automated release qualification, and rollback automation—all with a focus on LLM automation.Establish high standards for infrastructure within the team by creating self-serve tools, writing runbooks, and mentoring engineers.

Join Philo in Shaping the Future of TelevisionAt Philo, we are revolutionizing the television experience, enabling viewers to enjoy their favorite shows seamlessly across devices, with intuitive discovery features and effortless sharing options. We're committed to creating the TV experience we've all longed for.Our team values people—both subscribers and employees. We empower our colleagues to excel in their roles while fostering a culture of collaboration towards common objectives. We prioritize transparency, pragmatism, and passion, ensuring everyone feels valued and supported.Diversity and inclusion are cornerstones of our hiring philosophy. We believe that a variety of voices enhances innovation and ultimately leads to a superior experience for our subscribers.Based in San Francisco, with additional offices in Brooklyn and Cambridge, Philo is backed by industry leaders, including HBO, Tubi, and Warner Brothers Discovery. Our leadership team brings extensive experience from top-tier companies.About the RoleAs a Lead Backend Software Engineer on the Product API team, you will play a crucial role in connecting users with their favorite shows, facilitating the discovery of new content, and enhancing their viewing experience. Your contributions will impact millions of users across web, mobile, and connected TV platforms.In this role, you will develop and maintain the Philo show catalog, manage search functionalities, implement machine learning-powered recommendations, and handle platform integrations (e.g., Roku, FireTV). You will design robust APIs for client platforms to access our catalog while ensuring seamless features like show saving, notifications, and experimental runs. Your responsibility will also include scaling the system to handle millions of users, maintaining security and privacy standards, and supporting various client setups through custom frameworks and infrastructure.As a leader, you will set a strong example by shipping features, addressing bugs, overseeing releases, and advocating for code quality across our projects. We're looking for an enthusiastic backend engineer with a solid technical foundation in creating scalable APIs and services.

Hex Technologies is seeking a talented and driven Enterprise Account Executive to join our dynamic Sales organization. As we continue to expand our footprint in the market, we are looking for someone who can engage with large enterprises, specifically targeting companies with 2,500+ employees. Join us in our mission to align with industry leaders like Toast, Cruise, and Rivian, and help us double down on our success in this critical area of our growth strategy.In this role, you'll partner closely with our Enterprise Sales Leader, strategizing to close new business deals while also expanding our relationships with existing clients.

About AffinidiAffinidi is a pioneering technology firm committed to revolutionizing data ownership. Our mission is to empower both businesses and individuals with control over their data, offering a holistic approach to managing their identities while ensuring privacy and security.Our innovative technology enables the utilization of decentralized digital identity solutions. We firmly believe in the right to data ownership and are dedicated to creating a trusted ecosystem of digital credentials that facilitates secure data and service exchanges across various industries and borders. As we expand our operations in the United States, we are looking for a Senior Solutions Architect to act as the technical anchor of our GoToMarket (GTM) initiatives in the region.This role integrates hands-on engineering expertise with customer engagement, solution design, and early-market ecosystem development.In this position, you will assist customers and partners in understanding how Affinidi’s trust infrastructure enables secure, interoperable, and consent-driven digital experiences. You will support early experimentation, guide technical validation, and lead the implementation of solutions.Moreover, your insights will be invaluable in shaping our product direction, ecosystem strategy, and overall GTM approach for the United States.Focus Area: Trusted Networks, Agentic Identity, and Protocol-First Architecture

At Discord, we are proud to serve over 200 million monthly users who engage with our platform for a variety of reasons, predominantly to play video games. With more than 90% of our users gaming together, they collectively spend an astonishing 1.5 billion hours each month immersed in thousands of unique titles on Discord. Our platform plays a pivotal role in shaping the future of gaming, focusing on enhancing the experience of communication and camaraderie before, during, and after gameplay.Discord is committed to fostering a sense of belonging for everyone. Security and privacy are central to our mission, as we are trusted by millions to keep their communications secure from malicious actors.We are seeking a Senior Privacy Engineer to join our team and help safeguard our users' privacy. If you have a strong engineering background, a passion for data protection, and an unyielding desire to improve user experience on Discord, we want to hear from you!

Join Aarki Inc. as a Machine Learning Engineer and be part of our innovative team that is driving the future of AI technology. In this role, you will develop and implement machine learning models that enhance our data-driven solutions. You will collaborate with cross-functional teams to analyze data, identify trends, and optimize algorithms to improve performance.

Join Pinterest as a Senior Fullstack Software Engineer and be a key player in building and enhancing our platform. You will work on both the front-end and back-end of our applications, helping to create seamless user experiences that inspire creativity. This role requires a passion for technology and a strong understanding of software engineering principles.