Senior Data Scientist at Grindr | Palo Alto

Join Grindr, the world's preeminent LGBTQ+ social app, as a Senior Data Scientist. This hybrid role is based in our Bay Area or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.As a Senior Data Scientist, you will collaborate with product managers, designers, and engineers to establish meaningful metrics, design and evaluate experiments, and derive insights that will guide product development. You will play a critical role in shaping data products and experimentation, focusing on enhancing user experience.You will be a key member of Grindr’s centralized Data organization, which fosters collaboration among data scientists, data engineers, and ML/AI engineers. This position offers an exciting opportunity to amplify your impact while learning from experts across various disciplines.

Team Overview Grindr connects millions of LGBTQ+ people worldwide through an AI-driven platform. With more than 15 million monthly users and over 130 billion messages exchanged each year, the team of fewer than 200 tackles technical challenges at a global scale. The Data organization brings together data scientists, data engineers, and ML/AI engineers in a collaborative setting. Team members work closely, sharing knowledge and supporting each other's growth. Role Focus: Senior Data Scientist, Ecosystem Health This position centers on Ecosystem Health, collaborating with product managers, designers, and engineers to shape metrics, design and analyze experiments, and uncover insights that guide product direction. The work aims to improve user retention by building a safer, more authentic community, proactively preventing harm, strengthening identity trust, and empowering users in their safety experiences. The team also adapts to changing regulatory requirements. The role sits at the intersection of AI/ML, fraud prevention, risk management, and trust & safety. Strategies and innovations from this group help ensure authenticity, reduce harmful behaviors, and build user confidence worldwide. Grindr values technical skill and curiosity, especially for those interested in growing their product sense and analytical leadership. This role offers opportunities to expand influence and learn from colleagues with varied backgrounds. How the Team Works Grindr's "Grindr Mode" philosophy means working hard while prioritizing well-being. The company values results over raw output, and the team supports one another in maintaining high standards and a healthy work-life balance. What You Will Do Define and monitor key product metrics with cross-functional partners. Design, run, and analyze A/B tests to understand the effects of new features. Perform deep data analyses to clarify trends and generate actionable insights. Communicate findings clearly to stakeholders and help shape product strategies. Build dashboards and tools that help teams track metrics and make informed decisions. Support the development of best practices within the Data Science team. Location This role is based in Palo Alto.

Join Grindr as a Senior Staff Data Scientist in a hybrid capacity at our Palo Alto office, where you will work in-office on Tuesdays and Thursdays.Why This Role is ExcitingGrindr (NYSE: GRND) is the largest LGBTQ+ social networking platform globally, boasting over 14 million active users monthly across nearly every country. As an integral part of the LGBTQ+ community, we are a cornerstone of gay culture.In your role, you will collaborate across teams including product managers, designers, and engineers to develop actionable metrics, spearhead innovative experiments, and provide data-driven insights that will inform strategic decisions. Your contributions will directly enhance the experience of millions of users through production-level models and analyses. Furthermore, you will serve as an ambassador for the Data Science team, sharing knowledge about effective data utilization with diverse teams across the organization.Being a part of Grindr's data organization means engaging with a dynamic team of data scientists, data engineers, and ML/AI engineers, all working together to push the boundaries of data science.Key ResponsibilitiesDerive actionable insights from complex, open-ended inquiries.Define strategies for designing and assessing experiments to evaluate product changes.Effectively communicate results to executives and cross-functional teams to influence product and organizational strategies.Analyze product data to identify the root causes of metric fluctuations.Collaborate with stakeholders to communicate findings that guide product decisions.Develop and oversee tools that automate analyses, enhancing productivity across the organization.Mentor team members and recommend best practices.Employ an engineering mindset to streamline complexity while maximizing utility and maintainability.Shape the future of our data products by developing machine learning solutions that enhance user recommendations, identify spam, and improve user engagement.What We Value in You

Join our dynamic team as a Staff Software Engineer - Android in a hybrid work environment based in our Palo Alto office, where attendance is required on Tuesdays and Thursdays.What makes this opportunity exciting?Be an integral part of developing the next iteration of the Grindr app! Collaborating with our talented Android team, you’ll tackle complex challenges, harness cutting-edge technologies, and contribute to an innovative platform that serves the LGBTQ+ community on a grand scale.Your responsibilities will include:Collaborating with a brilliant cross-functional and cross-timezone team to enhance the Grindr user experience.Navigating multiple work streams and embracing ambiguity to foster high-level strategic thinking.Driving innovation through data-informed decisions that lead to the adoption of new technologies and workflows.Elevating team technical skills by introducing new tools and methodologies.Building robust Android applications with a focus on:Proficiency in Kotlin programming.Managing extensive codebases while ensuring clarity and maintainability.Optimizing performance for complex applications to enhance user satisfaction.Designing scalable applications from the ground up.Implementing software engineering best practices and design patterns such as MVVM, Coordinator, one-way data flow, and modular architecture.What we admire about you:You take initiative and can drive changes beyond your immediate team.You possess at least 6 years of experience in developing complex Android applications.Your technical expertise inspires creativity and innovation among your peers.You have experience in product leadership and can make sound decisions that balance product needs and technical constraints.Your collaborative nature enables you to work effectively with diverse teams.

About Nightfall:Nightfall is an innovative, AI-driven platform specializing in unified data loss prevention and insider risk management. We secure sensitive data across various environments, including SaaS applications, Generative AI tools, email, and endpoint devices. Trusted by numerous clients, from AI pioneers to Fortune 10 banks, Nightfall empowers organizations to innovate safely, mitigating the risks associated with data loss and intellectual property exposure. Our intelligent platform automates data loss prevention, allowing security teams to focus on strategic initiatives by resolving security violations proactively and providing real-time training to users.Our endeavors are supported by top-tier venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, alongside cybersecurity leaders including Frederic Kerrest, Maynard Webb, Ryan Carlson, and Kevin Mandia.About the Role:We seek a highly skilled technical leader to join our expanding team at Nightfall. As the Lead AI/ML Data Scientist within the AI Engineering organization, you will be pivotal in developing ML/NLP models and Generative AI solutions that enhance our Data Loss Prevention (DLP) and security products. This role involves spearheading research and applying advanced machine learning techniques to address security challenges, while guiding ML and backend engineers in deploying systems into production. You will also be instrumental in shaping the future architecture of our AI platform.This position is hybrid, requiring three days in the office at our Palo Alto, California location, and represents a fantastic opportunity for those passionate about data science and machine learning engineering.

About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.

About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.

Join our dynamic Digital Marketing Analytics team as a Digital Marketing Data Scientist, where you'll play a critical role in addressing complex business challenges through data science. This position allows you to engage in the full lifecycle of experimentation—ranging from data-driven hypothesis formulation to test design, analysis, and interpretation.Your insights will directly influence business optimizations across the customer journey, and you'll have the opportunity to innovate experimental methodologies to extract meaningful results.The ideal candidate will possess a robust technical background in statistics and predictive modeling, alongside significant experience in developing datasets for various data science initiatives. Exceptional communication skills and advanced analytical abilities are essential for success in this role.

Mudflap is revolutionizing the $800 billion trucking industry, which serves as a vital pillar of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on their primary operational cost: fuel. Additionally, we connect our network of fuel stop partners with new, hard-to-reach clients. As a rapidly expanding marketplace, we are on the lookout for a passionate, customer-focused individual to join our dynamic team.In this pivotal role as a Senior Data Engineer, you will be instrumental in crafting the data infrastructure that enables faster and smarter decision-making across our organization. You will design, scale, and manage our modern, cloud-based data platform, ensuring that our data flows seamlessly and is effectively utilized by teams throughout the company.This is a rare opportunity to establish data standards, influence technical direction, and guarantee the quality, consistency, and scalability of the data platform relied upon by hundreds of thousands of small and medium-sized trucking companies each day.Our Palo Alto office offers a hybrid work environment that encourages collaboration in the office while also providing the flexibility to work remotely.

Join mindrobotics as a Data Engineer, where you will play a pivotal role in developing the data systems that drive large-scale AI training for robots. This position is centered around transforming extensive data into well-organized, high-quality datasets. You will take ownership of data pipelines, labeling workflows, storage, and cloud infrastructure from start to finish. If you thrive in scaling environments, enjoy creating bespoke tools when existing solutions are inadequate, and aim to enhance data reliability for rapid iteration, you'll find a welcoming home here. Collaborate closely with researchers and engineers to ensure that our data propels swift and impactful advancements in robot training and evaluation.

Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.

Mudflap is revolutionizing the $800 billion trucking industry, a crucial component of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on fuel, their largest operational cost, while simultaneously offering our fuel stop partners access to a new and hard-to-reach clientele. As a rapidly expanding marketplace, we are seeking a passionate and customer-focused individual to join our dynamic team on this exciting journey.About the RoleAt Mudflap, we are developing a robust data-driven engine that will inform decisions across all facets of our organization. We are in search of experienced Senior and Staff Data Scientists to join our small yet highly impactful analytics and machine learning team. In this role, you will collaborate closely with product, engineering, operations, and cross-functional partners to create data products, develop machine learning models, conduct experiments, and provide insights that will directly drive our growth and product strategy.Work Location: This position is based in Palo Alto, CA and offers a hybrid work model, blending in-office teamwork with remote flexibility.To support our team, we provide:Commuter benefits to facilitate your travelLunches and snacks to keep you energizedA collaborative, high-growth environment where you will work alongside talented colleagues from various departmentsWe are hiring for three primary domains—Product, Risk, and Growth—allowing you to apply your expertise where your passion lies:What You’ll DoProduct:Influence strategic product decisions through advanced analytics and experimentation. Design and conduct A/B tests, create predictive models, and derive data-driven insights that will significantly impact product roadmaps and business outcomes. Collaborate closely with product managers, engineers, and leadership to uncover opportunities, assess feature success, and enhance user experiences.Risk:Assess, model, and mitigate credit and fraud risks within our platform. Enhance our credit risk underwriting capabilities, and develop predictive models aimed at minimizing fraud losses. Work alongside Product, engineering, and operations teams to implement scalable risk management strategies.Growth:Generate strategic growth insights through sophisticated data architecture and advanced analytics. Lead the design and implementation of growth-focused initiatives that drive business expansion.

Join us at Grindr in a hybrid position based in our Palo Alto or San Francisco offices, with in-office attendance required on Tuesdays and Thursdays.Why This Role is Exciting:As a pivotal figure at Grindr, you will lead our transformative AI journey. This is your opportunity to leverage state-of-the-art machine learning techniques to revolutionize the way millions within the LGBTQ+ community connect, whether through engaging conversations, casual meetups, or meaningful relationships. Our commitment to machine learning is strong, and you will play an essential role in shaping our strategy and execution on this unique global platform.Impact from Day One: You will be instrumental in establishing foundational systems in an early-stage ML environment, charting the roadmap for our long-term strategy.Innovative Recommendations: Design and scale recommendation platforms that connect millions to their next significant experience, tailored to diverse user intents.Conversational Insights: Employ large language models (LLMs) to extract insights and establish best practices for conversational AI, enhancing user engagement with precision.Key Responsibilities:Develop and manage large-scale recommendation systems to serve millions of users while balancing performance and innovation.Utilize advanced LLMs to analyze extensive conversation data, enhancing connections among users.Prototype, iterate, and deploy production-ready ML solutions addressing real user challenges.Provide technical guidance across teams, collaborating with engineering, data science, and product teams to turn innovative ideas into reality.Assess and incorporate emerging AI tools and techniques organization-wide to maintain a leading-edge technology stack.Qualifications We Seek:Over 10 years of experience in building ML systems, particularly in developing 0-to-1 systems, platform architecture, and pioneering new capabilities. Familiarity with recommendation systems is advantageous.Proven track record of delivering scalable solutions, with proficiency in Python and popular ML frameworks.A proactive mindset and the ability to work in a fast-paced, dynamic environment.

Role overview xai seeks a Data Engineer based in Palo Alto, CA. The position centers on building and refining data infrastructure to align with company objectives. Collaboration with teams throughout the organization is a key part of this role. What you will do Design and develop data solutions that inform business decisions Collaborate with cross-functional teams to create and enhance data systems Contribute to shaping data processes that support company results

About Arc Institute The Arc Institute is a pioneering scientific organization committed to conducting innovative, curiosity-driven research and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates independently and collaborates closely with esteemed institutions such as Stanford University, UCSF, and UC Berkeley. While traditional university research models have achieved remarkable successes, we believe that new institutional frameworks are crucial for advancing science. Our key initiatives include: Funding: We offer comprehensive funding for Core Investigators’ (PIs’) research groups, freeing scientists from the limitations of conventional project-based external grants. Technology: The field of biomedical research relies heavily on advanced tools. Our Technology Centers focus on developing, optimizing, and implementing cutting-edge experimental and computational technologies in collaboration with Core Investigators. Support: Arc is dedicated to providing exceptional operational, financial, and scientific support, allowing scientists to engage in long-term, high-risk, high-reward research that could significantly advance cures for diseases such as neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize fostering a culture that emphasizes scientific curiosity, a commitment to truth, ambitious goals, and collaborative teamwork. Arc has grown to over 350 team members with more than $650 million in committed funding and a state-of-the-art laboratory facility in Palo Alto. We are poised for rapid expansion in the coming years. About the Position We are on the lookout for a highly skilled and driven Scientist to join the Horns Lab at the Arc Institute. In this role, you will spearhead the creation of an innovative platform designed to map human antibody specificities on a large scale. You will be pivotal in developing, optimizing, and implementing a high-throughput system for the identification of antigen-specific B cells and their antibody sequences via single-cell sequencing, thereby enhancing our understanding of human immunity and aiding in the discovery of new antibodies.

About the Team: The Information Technology team at Rubrik is pivotal in shaping business processes, enhancing employee experience, and leveraging technologies to scale our organization beyond $1 billion. This dedicated team drives operational efficiencies across the enterprise by centralizing the management of Infrastructure, Technology, and Data. The IT team guarantees all stages of the software development lifecycle occur within a secure environment while meticulously overseeing the implementation of essential processes and governance. They are not just champions of Rubrik but also serve as primary users of the Engineering teams' offerings. Rubrik Corp IT operates entirely on a Software as a Service (SaaS) model, with no on-premises solutions. The IT team accelerates the enhancement of business value and optimizes daily operations through a diverse portfolio of SaaS applications, including Salesforce.com, Oracle Netsuite, Workday, Snowflake, Etrade, Jitterbit, and Allocadia. Their commitment to delivering high-velocity business outcomes is backed by a 100% system uptime, supported by agile, streamlined, and cohesive cloud architectures. About the Role: Become a part of our Data Engineering and Analytics team at our Palo Alto headquarters, where you will design and implement the data infrastructure that supports our General and Administrative (G&A) business functions. In this impactful role, you will manage the entire lifecycle of data initiatives, transforming complex business requirements into scalable data models and delivering insightful analytics that guide critical decision-making. You will work closely with stakeholders across Go-To-Market (GTM) programs, Product Operations, Pricing, and Treasury, facilitating precise reporting, operational transparency, and strategic planning. Your contributions will directly aid directors and senior leaders within Sales and G&A, shaping revenue growth, strategy, and operational effectiveness through reliable, data-informed decisions. What You'll Do: Business Partnership & Delivery: Act as a data partner across GTM and G&A business functions, leading high-impact projects from analysis to successful completion. Requirements Discovery: Conduct in-depth engagement sessions with stakeholders to convert business queries into actionable technical roadmaps, ensuring data solutions effectively address core strategic challenges. Architectural Excellence: Design and refine scalable data pipelines and advanced dbt models in Snowflake. Develop a robust Semantic layer to standardize metric definitions and ensure alignment across diverse G&A data sources. Advanced Analytics & Visualization: Produce executive-level narratives using Tableau. Transform raw data into proactive analytical tools that enhance insight and decision-making.

About Odyssey Odyssey is an AI research lab focused on building general-purpose world models. The team is developing advanced multimodal intelligence for a range of applications in consumer, enterprise, and intelligence fields. Odyssey’s flagship model, Odyssey-2 Pro, reflects the company’s drive to push the boundaries of AI. Role Overview: Senior Recruiter This Senior Recruiter position sits at the heart of Odyssey’s growth. The role covers end-to-end hiring for a wide range of functions: operations, commercial, product, design, go-to-market, people, and finance. Recruiting here is more akin to executive search than high-volume staffing, every hire shapes the company’s future. The Senior Recruiter partners closely with founders and leaders to bring in top talent in a competitive market. This role suits an experienced recruiter who values hands-on work and wants to focus on impactful hiring. The emphasis is on quality, not quantity: each search is unique, and every candidate matters. What You Will Do Lead the full recruiting lifecycle for roles across operations, product, design, go-to-market, and finance. Collaborate directly with founders and hiring managers to define job requirements and set hiring strategies. Source, engage, and close senior and executive-level candidates in a highly competitive talent market. Develop creative outreach approaches to connect with candidates who may not know Odyssey yet, helping to build the employer brand from scratch. Implement and improve structured, data-driven recruitment processes. Use AI tools (such as Claude, OpenAI, and others) to streamline sourcing, outreach, and workflow. Manage the candidate experience from first contact to offer, ensuring a thoughtful and personalized process for every hire. Location Palo Alto

Join acryldata, an innovative leader in AI and data management, as we revolutionize the way enterprises utilize their data. Our flagship product, DataHub, is an AI & Data Context Platform trusted by over 3,000 organizations, including industry giants like Apple, CVS Health, Netflix, and Visa. Developed in collaboration with a vibrant open-source community of over 13,000 contributors, DataHub's metadata graph offers unparalleled insights into AI and data assets, ensuring exceptional scalability and flexibility.Our enterprise SaaS solution, DataHub Cloud, provides a fully managed platform equipped with AI-driven discovery, observability, and governance features. Businesses depend on DataHub to accelerate the realization of their data investments, guarantee the reliability of AI systems, and establish cohesive governance frameworks, thus harmonizing AI and data to mitigate data chaos.The ChallengeAs AI and data products grow increasingly vital, organizations encounter a metadata crisis:Lack of a unified approach to monitoring the intricate data supply chains fueling AI systems.Engineering teams facing hurdles in data discovery, lineage tracking, and governance.Organizations demanding machine-scale metadata management that goes beyond human-browsable catalogs.Why This MattersThis is where infrastructure meets impact. The metadata layer you will develop will be instrumental in powering the next generation of AI systems at a large scale. Your contributions will influence how thousands of organizations deploy AI safely and effectively, impacting millions of users across the globe.The RoleWe are in search of a highly skilled Python engineer to spearhead the development of DataHub's ingestion framework—the backbone that links various data systems and enhances our metadata collection capabilities.You Will BuildResilient, scalable ingestion systems for enterprise-level metadata.Clean, user-friendly APIs for our connector ecosystem.Event-driven architectures for real-time metadata processing.Schema mapping for diverse systems integrated with DataHub's unified model.Versioning systems for AI assets, including training data, model weights, and embeddings.

At PsiQuantum, our mission is to pioneer the development of the first practical quantum computers—machines that can unlock the transformative potential that the quantum field has promised for decades. Founded in 2016, we are singularly focused on creating and deploying million-qubit, fault-tolerant quantum systems.Quantum computers utilize the principles of quantum mechanics to tackle challenges that traditional supercomputers and AI systems cannot overcome. Their potential impact spans across various industries including energy, pharmaceuticals, finance, agriculture, transportation, and materials.Our innovative architecture is founded on silicon photonics, leveraging cutting-edge semiconductor manufacturing processes in partnership with leaders like GlobalFoundries. This approach allows us to utilize high-volume techniques that yield billions of chips for telecommunications and consumer electronics. Photonics provides inherent advantages for scalability: photons are unaffected by heat, immune to electromagnetic interference, and can seamlessly integrate with existing cryogenic cooling and standard fiber-optic systems.In 2024, PsiQuantum initiated government-funded projects to establish our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing acknowledgment that quantum computing will be a defining strategic and economic force, making it imperative to scale our efforts.Moreover, PsiQuantum is actively developing the algorithms and software necessary to ensure these systems are commercially viable. Our teams collaborate directly with top Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to tailor quantum solutions for tangible real-world applications.Quantum computing signifies a fundamental departure from classical computing, presenting a unique pathway to address challenges that no other technology can solve. The potential is vast, and we have a clear strategy to bring it to fruition.Join us to be part of this revolutionary journey!

Join us in a hybrid work setting at our Palo Alto office, where you'll be expected to work on-site every Tuesday and Thursday.Why is this role exciting?Become an integral part of the iOS development team at Grindr as we build the future of our app! You will tackle complex challenges, engage with cutting-edge technology, collaborate with a supportive and talented team, and help us maintain our position as the leading social media platform for the LGBTQ community.What will you do?Collaborate with a diverse, cross-functional team across various time zones to enhance the Grindr user experience.Navigate multiple projects while embracing ambiguity to foster innovative, high-level thinking.Drive innovation by leveraging data-driven insights to integrate new technologies, architectures, and workflows.Enhance your team's technical skills by introducing new tools and methodologies.Utilizing Swift, Xcode, RxSwift, Combine, Async/Await, SwiftUI, Bitrise, Fastlane, and GitHub, you will evolve and maintain our software architecture to meet current and future demands for consumer-facing mobile products, supporting our product roadmap.What we appreciate in youYou are a proactive leader who takes initiative and can drive change across the organization.You possess a minimum of 6 years of experience in developing complex iOS applications.Your technical expertise inspires creativity and innovation among your peers.You have a strong background in product leadership and technical decision-making, skillfully balancing product needs with code quality.You have experience collaborating with various business stakeholders, including c-suite executives and VPs.You can dive deep into coding while also mentoring your team on long-term projects.A solid understanding of software engineering best practices and design patterns such as MVVM, Coordinator, and one-way data flow is essential.