Engineering Manager at Triumph Arcade | San Francisco

About ArcadeArcade is dedicated to empowering teams to become exceptional storytellers by creating dynamic visual experiences. Our platform is utilized by over 22,000 teams to enhance their product narratives. We are a team of former Atlassian, AngelList, and Shopify professionals who believe in crafting beautiful, user-friendly products that significantly e…

Join Arcade as a Senior Machine Learning Engineer, where you'll be at the forefront of AI innovation. In this pivotal role, you will leverage advanced machine learning algorithms to create and enhance cutting-edge solutions. Collaborate closely with cross-functional teams to drive impactful projects from ideation to deployment.

About ArcadeAt Arcade, our mission is to empower teams to become exceptional storytellers and create dynamic visual experiences. More than 22,000 teams rely on Arcade to craft engaging product narratives that help them stand out in competitive markets. With Arcade, users can produce on-brand product demos, videos, and visuals in just minutes without the need for designers, agencies, or lengthy production timelines.Our team consists of talented individuals from renowned companies such as Airbnb, SuperHuman, Box, LaunchDarkly, and AngelList. We are at the forefront of defining product storytelling for the next decade, and we are passionate about building products that are simple, fast, and genuinely useful.The RoleAs our Senior Product Marketing Manager, you will oversee Arcade's presence among buyers, customers, and audiences and ensure that customer feedback seamlessly integrates back into our processes.This senior, hands-on role is pivotal, working across product, marketing, sales, and customer success. You will manage the cadence and quality of product communications, execute both small and large releases, create competitive analyses, and support field enablement, all while collaborating closely with the Head of Product Marketing on our overarching narrative and positioning.We are looking for a candidate with 3–5 years of product marketing management experience who thrives in a dynamic environment, enjoys frequent shipping, maintains close connections with customers, and can translate rapid product developments and market insights into clear strategies.What You’ll DoTransform technical and AI concepts into engaging, high-quality content for changelogs, product releases, web pages, social media, and customer testimonials.Manage product releases from inception to completion, ensuring momentum across internal teams and the market.Collaborate closely with product and engineering teams to convert evolving features into compelling narratives ready for customers.Maintain a strong connection with customers and prospects by participating in sales and customer success calls, conducting your own discussions, and grounding strategy in authentic buyer language.Develop and sustain a comprehensive understanding of the competitive landscape and buyer evaluation criteria.Proactively equip BDRs, AEs, and CSMs with clear communication strategies, insights, and context regarding the market and buyer behavior.Experiment with and implement new AI and marketing tools to enhance speed, quality, and overall effectiveness.

Join Our Team at Triumph ArcadeTriumph Arcade revolutionizes mobile gaming by enabling players to wager and win real money while enjoying mass multiplayer games and social tournaments. We proudly offer the leading app in our category on the App Store, and we've experienced remarkable month-over-month growth in both revenue and active users. As we continue to scale rapidly, we are excited to innovate and launch new products like Rips, our successful collectibles app, which is expanding its reach. And this is just the beginning!Backed by top-tier consumer venture capitalists such as Goodwater Capital, General Catalyst, and DraftKings Drive Fund, Triumph Arcade is poised for growth.

Join Until, a visionary moonshot company dedicated to revolutionizing biology with a groundbreaking 'pause button' for organ preservation. Our immediate mission focuses on organ-scale reversible cryopreservation, which allows for the preservation of donated organs at subzero temperatures while preventing ice formation, facilitating uniform rewarming for transplant. By addressing this monumental challenge, we are paving the way for whole-body reversible cryopreservation, providing patients with hope for future medical advancements.To realize our ambitious objectives, we are curating a diverse team of experts to innovate perfusion systems, develop cryoprotectant formulations, and engineer cutting-edge vitrification and rewarming technologies. Additionally, we are expanding our medical hibernation team to tackle the complexities of whole-body cryopreservation, starting with rodent models.We envision a future where logistics never hinder the availability of transplantable organs, and where terminal diagnoses can be reconsidered, allowing patients to await the arrival of future medical solutions safely.About the RoleAs a Machine Learning Engineer / Scientist at Until, you will play a pivotal role in our computational team, transforming experimental data into actionable insights that fuel scientific breakthroughs. You will create high-impact machine learning systems to aid in the development of innovative cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and unravel the physics underlying vitrification and rewarming processes. You will lead projects end-to-end, encompassing data collection design, data pipeline architecture, model training and evaluation, and the deployment of user-friendly tools for our scientific team.

About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.

About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.

Join Our MissionThe trucking and logistics sector is essential to our economy, yet its payment infrastructure is outdated and inefficient. At AtoB, we are on a mission to revolutionize payment systems for this industry. We've identified the challenges faced by hardworking professionals in trucking — from outdated tools to hidden fees, and we are committed to delivering solutions that prioritize their needs.About AtoBOur goal is to create a seamless payment experience akin to Stripe, tailor-made for the transportation industry. We understand the critical role of timely capital movement in supply chains and strive to ensure it happens smoothly and fairly. Every product we develop enhances user experience and works intelligently within the unique constraints our customers face daily, whether they are fleet managers or drivers.Our ExpertiseOur founding team boasts extensive experience in the tech and payments landscape, with backgrounds from industry leaders like Cruise Automation, Uber, Google, Meta, and Stripe. We've attracted over $125 million in funding from prominent investors, including General Catalyst, Y Combinator, and major tech founders, positioning us as a leader in innovation within our sector.Recognized by Forbes as one of the Next Billion-Dollar Startups, we are also proud to join the World Economic Forum as a Global Innovator.

Join Retell AI as a Senior Machine Learning EngineerRetell AI is at the forefront of revolutionizing the call center industry using groundbreaking voice AI technology. Within just 18 months of our inception, we have empowered thousands of businesses with our AI voice agents capable of managing sales, support, and logistics calls that traditionally required extensive human teams.Supported by renowned investors, including Y Combinator and Alt Capital, our journey has seen us scale from $5M to an impressive $36M ARR with a dedicated team of 20. Our ambition for 2026 is to develop a state-of-the-art customer experience platform, transforming entire contact centers with AI. We are building intelligent AI “workers” that will serve as frontline agents, quality assurance analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.We are rapidly expanding and seeking passionate innovators eager to solve complex technical challenges and make a tangible impact in one of the fastest-growing voice AI startups. Together, let's shape the future of customer interactions.

About HexusAt Hexus, we are dedicated to unlocking the hidden potential of AI and personalization for businesses. Our passion lies in revolutionizing product-led growth, transforming how companies connect with their customers, thereby enhancing product adoption and ensuring long-term success. With a robust suite of AI-driven tools, Hexus enables businesses to optimize their PLG strategies across Sales, Marketing, and Customer Experience.Supported by leading investors, industry experts, and renowned angel investors, our team is spearheaded by former FAANG founders with extensive experience in SaaS, ML, and UX. Join us in our mission to redefine customer experiences through AI and personalization.Your RoleAs a dynamic, design-driven startup, we are seeking a talented Senior Product Engineer to join our early-stage team. You will be instrumental in actualizing our product vision by creating clean, intuitive UI and UX, developing robust editing tools, and ensuring top-notch performance. We seek an individual who raises the bar for what’s achievable online and is passionate about crafting exceptional responsive, interactive, and enjoyable user experiences.In this role, you will:Collaborate closely with the founding team to design engaging user experiences.Execute critical projects that empower our customers daily.Rapidly prototype and iterate on new features and functionalities, driving ongoing innovation.Architect efficient and reusable frontend systems that support complex web applications.Contribute to shaping the direction of our design-led product.Qualifications5+ years of experience in frontend development.Proficiency in front-end development using TypeScript, React, NextJS, and Node.js.Strong skills in design and styling with frameworks like Tailwind or Material Design.Comprehensive understanding of the entire web stack, including protocols and web server optimization techniques.Familiarity with modern deep learning models (GPT, LLAMA, BERT, Whisper, Stable Diffusion, etc.).Capacity to grasp user challenges and convert them into features and products.A desire to thrive in a fast-paced, iterative startup environment.

Join Our Innovative TeamTriumph Arcade is revolutionizing mobile gaming by allowing players to wager and win real money, engage in massive multiplayer games, and participate in social tournaments. We are proud to have developed the leading app in our App Store category and we are experiencing remarkable month-over-month growth in both revenue and user activity. As we rapidly expand our team, we continue to innovate with exciting new products like Rips, our successful collectibles app, which is continually evolving and growing. And this is just the beginning.We are backed by top-tier venture capital firms including Goodwater Capital, General Catalyst, and the DraftKings Drive Fund.Your RoleAs a Product Designer for Rips, our collectibles trading card application, you will work closely with the Product Manager to help define the future of our mobile and web experiences. Your contributions will enhance our existing design system and will play a significant role in shaping one of the fastest-growing apps on the App Store. You will lead the development of a web version of Rips while laying the groundwork for future web and Android applications within our gaming ecosystem. Expect a dynamic environment with rapid ideation cycles and iterations as you push the limits of what it means to be the #1 app in our category.Your ResponsibilitiesLead the end-to-end product design process for Rips: user research, user flows, wireframes, prototypes, high-fidelity UI designs, and production-ready assets.Continuously evolve and refine a mature design system to ensure Rips remains cohesive.Develop interaction patterns that feel native to iOS while scaling to web and Android as we grow.Design intuitive and engaging user interfaces for consumer experiences, focusing especially on game mechanics and collectibles.Collaborate with engineering and product teams to quickly validate concepts and transition from idea to live features in a matter of days, not weeks.Enhance brand interactions within the product through illustration, motion, and microcopy that elevate user enjoyment and clarity.What We Are Looking For1-2+ years of product design experience specifically in consumer-focused applications.Strong portfolio showcasing design work and problem-solving skills.Proficiency in design tools like Sketch, Figma, or Adobe Creative Suite.Ability to collaborate effectively with cross-functional teams and stakeholders.A passion for gaming and understanding of mobile and web user experiences.

Join Our Dynamic TeamTriumph Arcade is revolutionizing mobile gaming by enabling players to wager and win real money, engage in large-scale multiplayer experiences, and participate in social tournaments. As we continue to soar with exponential growth, our top-rated app in the App Store is a testament to our innovation. We're on the brink of launching exciting new products like Rips, a collectibles app that has already achieved significant success, and the best is yet to come.Triumph Arcade is supported by leading consumer venture capital firms such as Goodwater Capital, General Catalyst, and DraftKings Drive Fund, ensuring our growth and innovation continue unabated.Your ImpactAs a Data Scientist, you will spearhead the quantitative systems that shape the experiences of millions of real-money players using Triumph's offerings. From their first gaming session to long-term retention, your analytical expertise will inform critical business decisions regarding pricing, payouts, matchmaking, and growth strategies.You will collaborate with a compact yet high-performing quantitative team that operates like a trading desk, developing the mathematical frameworks that underlie Triumph's business model: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Your contributions will have a direct impact on real money and real users, with measurable results visible in the metrics almost immediately.ResponsibilitiesMonetization & Pricing: Create and refine the pricing engines, payout structures, and edge calculations that form the financial foundation of Triumph’s revenue. Manage pack economics, rarity calibration, and pricing models for Rips by Triumph.User Journey & Retention: Develop models that analyze the entire player lifecycle: acquisition, activation, engagement, monetization, and churn risk. Determine the quantitative factors that enhance retention and lifetime value (LTV) and design strategies to leverage them.Experimentation: Conceptualize and evaluate experiments (A/B tests and beyond) using robust statistical methods. Own the measurement framework to assess what strategies are effective across our product suite.Behavioral Modeling: Build machine learning and statistical models based on rich, high-frequency user behavior data, including session patterns, spending trends, matchmaking results, and gameplay trajectories.

About UsAt Triumph Arcade, we are revolutionizing mobile gaming by enabling players to wager and win real money through engaging multiplayer experiences and social tournaments. Our flagship app has consistently ranked as the top choice in its App Store category, experiencing remarkable month-over-month growth in both revenue and user engagement. As we continue to expand, including the successful launch of Rips, our collectibles app, we are eager to enhance our team with innovative talent.Supported by leading consumer venture capital firms such as Goodwater Capital, General Catalyst, and DraftKings Drive Fund, Triumph Arcade is poised for even greater success.The Role:We are in search of a creative and dedicated Creative Designer to take charge of the visual identity of the Triumph brand. As a foundational member of our marketing team, you will report directly to the Head of Growth and play a pivotal role in crafting a modern, cohesive, and impactful brand presence across all marketing channels. Initially working independently, you will collaborate closely with our Lead Designer, Travis, to maintain brand consistency throughout the organization.What You'll Do:Brand Stewardship: Own and refine the Triumph brand guidelines, ensuring consistency across all visual platforms, from our website to social media.Ad Creation: Develop a high volume of visually striking static display advertisements for platforms such as Meta, Google, and programmatic networks to effectively drive user acquisition.Merchandise and Physical Products: Spearhead the design of a new line of merchandise and physical products, with the creative freedom to explore diverse product types that embody the Triumph brand.Marketing Collateral: Produce a variety of marketing materials including social media graphics, email templates, and more, as required by the team.What We're Looking For:A Killer Portfolio: Your portfolio is more important than your experience level; we seek a body of work that exemplifies outstanding talent, a keen sense of brand identity, and innovative design.

Dapster is actively seeking a Lead Hardware Engineer to become a pivotal part of our dynamic team. As a rapidly growing startup, this position offers the unique opportunity to influence our foundational technologies and products.About Dapster: We are dedicated to revolutionizing the market with AI-driven robotic picking solutions. Recently, we secured a significant pilot project with a top retailer, providing us with dilution-free funding to further develop our core technology.If you're eager to engage in innovative work alongside a talented and humble team, and want to share in the rewards of joining us at such an early stage, we’d love to hear from you!

Join Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist and be at the forefront of innovative research in the virtual cell space. Our team is dedicated to advancing the field of machine learning and its applications in biological research.

About Mariana MineralsMariana Minerals is a pioneering software-driven, vertically integrated minerals company dedicated to supplying the essential minerals that fuel modern energy, artificial intelligence, and defense technologies. We are transforming the minerals supply chain by leveraging extensive industry knowledge alongside cutting-edge software, automation, and data-centric decision-making.The RoleAs we build the critical minerals supply chain from the ground up, we seek a highly skilled Senior Machine Learning Engineer to help drive our autonomous operations.Unlike traditional software companies, we are a mining company that develops our own software solutions. Mariana designs, builds, commissions, and operates our own mines and refineries, where we create proprietary chemical processes. Currently, we are producing battery-grade lithium salts from real oil and gas wastewater at our facilities. Our first commercial-scale lithium production facility, Lithium One, is set to commence initial production in the first half of 2027.In your role as a Senior Machine Learning Engineer, you will spearhead the design and implementation of machine learning systems that directly optimize the operations of our mineral refining facilities and guide significant investment and operational decisions. Your contributions will be visible in tangible metrics such as recovery rates, energy consumption, reagent usage, and equipment uptime.The TechThis position involves some of the most compelling applied AI work available today.Our internal platform, PlantOS, utilizes the same reinforcement learning frameworks that power self-driving cars and humanoid robots, adapted for the autonomous and short-interval control of mineral refining circuits. Our models dynamically adjust operating parameters in real time, optimizing for lithium recovery, reagent consumption, energy efficiency, and equipment uptime simultaneously.The working environment is complex and ever-changing; variations in wastewater compositions, ore grades, and aging equipment require the system to adapt continuously. The ultimate objective is to achieve fully autonomous refining operations—when you implement your solutions here, you will witness the physics of the process evolve.What You’ll DoCollaborate closely with Mariana’s process chemistry and engineering teams to develop innovative, data-driven models of core chemical unit operations.Train and deploy reinforcement learning models to optimize operational processes.

Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.

At Sciforium, we are pioneering the future of AI infrastructure by creating cutting-edge multimodal AI models and a proprietary, high-efficiency serving platform. With substantial financial backing and direct support from AMD engineers, our team is rapidly expanding as we develop the comprehensive stack that drives advanced AI models and real-time applications.About the RoleIn the capacity of a Machine Learning Engineer, you will engage with the entire foundation-model stack, encompassing pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You’ll have the opportunity to rapidly iterate on research ideas, contribute to production-grade infrastructure, and help deliver models capable of addressing real-world challenges at scale.Your ResponsibilitiesThis position offers diverse tracks - candidates can specialize or contribute across multiple areas. Key responsibilities include:Pretraining & ScalingTrain expansive byte-native foundation models utilizing vast, heterogeneous data sources.Formulate stable training methodologies and scaling laws tailored for innovative architectures.Enhance throughput, memory efficiency, and resource utilization across extensive GPU clusters.Establish and maintain distributed training infrastructures alongside fault-tolerant pipelines.Post-training & Reinforcement LearningBuild out post-training frameworks (SFT, preference optimization, RLHF/RLAIF, RL).Curate and produce specialized datasets aimed at enhancing specific model capabilities.Develop reward models and evaluation systems to facilitate ongoing improvements.Investigate inference-time learning and computational strategies to boost performance.Sandbox Environments & EvaluationCreate scalable sandbox environments for agent assessment and learning.Generate realistic, high-signal automated evaluations for reasoning, tool usage, and safety.Design both offline and online environments that support RL-style training at scale.Implement instrumentation for observability, reproducibility, and rapid iteration.Deployment & Inference OptimizationOptimize deployment strategies to ensure models are efficient and effective in real-world applications.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.