Principal Product Manager - Machine Learning & Subscription Growth

Join Spotify as a Principal Product Manager focusing on Machine Learning and Subscription Growth. In this pivotal role, you will lead the design and implementation of innovative strategies to enhance our subscription services using advanced machine learning techniques. Collaborate with cross-functional teams to drive product vision, strategy, and execution, …

Join Spotify as a Senior Product Manager specializing in Machine Learning and Subscriptions Growth. In this pivotal role, you will drive innovative product strategies and enhancements that optimize user experiences and increase subscription rates. Collaborate with cross-functional teams to leverage data-driven insights, ensuring our product offerings align with market trends and user expectations.Your leadership will guide product development from conception through execution, fostering a culture of innovation and excellence. If you're passionate about music, technology, and shaping the future of our platform, we want to hear from you!

Join Future's dynamic Subscriptions Marketing team, the driving force behind our direct-to-consumer growth. We are dedicated to sustaining and expanding an exceptional portfolio of both print and digital specialist publications.As a Marketing Manager, you will collaborate closely with the Head of Subscription Marketing, seamlessly aligning high-level commercial strategies with creative execution. We seek a candidate who is both analytically minded and commercially focused, yet possesses a vibrant creative spirit. You should feel equally at ease discussing lifetime value (LTV) and attribution models as you do evaluating visual assets and brainstorming compelling campaign concepts that captivate audiences.Key ResponsibilitiesStrategic Acquisition & GrowthIntegrated Planning - Design and implement comprehensive marketing strategies that enhance acquisition for both print and digital offerings. You will have autonomy over decision-making for your designated verticals, guided by market trends, consumer behaviors, and historical performance data.Flagship Brand Leadership - While overseeing the entire portfolio, you will take a proactive lead in driving some of our premier specialist brands, establishing a benchmark for successful and innovative acquisition strategies.Creative Innovation & Campaign ExcellenceNew Concepts - Infuse fresh, innovative ideas into our campaign creative. You will oversee the visual and messaging strategies, ensuring that our advertisements and landing pages are not only conversion-focused but also visually resonate with our premium brand identity.Campaign Excellence - Ensure best practices and accurate execution of acquisition campaigns across various online and offline channels.3rd Party Development - Cultivate new partnerships and opportunities with third-party vendors to drive subscriber acquisition, while fostering ongoing relationships with current providers.Leadership & ProductivityTeam Management - Guide priorities and effectively coordinate workloads for yourself and your team, including Senior Marketing Executives. You will mentor your team to produce impactful and precise work.AI Integration - Advocate for the use of AI tools to enhance productivity, from generating copy variations to automating routine reports, thus enabling the team to focus on high-level creative endeavors.Stakeholder Collaboration - Serve as the primary liaison for brand stakeholders, ensuring marketing initiatives align with commercial priorities and audience insights.Qualifications that Will Give You an EdgeMinimum of 4 years of experience in marketing and campaign management, particularly within subscription or recurring revenue frameworks.Proven track record of managing successful campaigns...

We are seeking a highly skilled and innovative Principal Machine Learning Engineer to join our dynamic team at Faculty. In this role, you will lead the design and development of advanced machine learning models and solutions to address complex challenges. You will collaborate with cross-functional teams, leveraging your expertise to drive impactful projects that shape the future of our technology.

Job Title: Principal Growth Product ManagerLocation: Chancery Lane, London (Office-based, hybrid schedule)Company: FyxerRevenue Goal: $100M+ by EOY 2026Our VisionAt Fyxer, we are convinced that the most sustainable competitive edge for a startup lies in the quality and speed of execution.We are seeking a dynamic, full-stack product thinker who leverages research, data, and experimentation to drive effective decision-making, rapid learning, and enhanced commercial results. We want a collaborator who will elevate our thinking and improve our decision processes, rather than just someone to produce specifications and deliver insights.In this role, you will be instrumental in shaping the product vision and strategy across a dedicated product domain, collaborating with our product, growth, and leadership teams.Your Responsibilities:You will be responsible for ensuring the quality of our product initiatives and the speed at which we learn from them.Transform ambiguity into clarity by interpreting complex signals from customers, product data, and market insights into actionable problem definitions and product strategies.Collaborate closely with engineers and founders from the inception of a project, co-creating solutions rather than merely passing on specifications.Employ a variety of tools to validate ideas and mitigate risks, including interviews, prototypes, experiments, product analytics, fake doors, usability testing, and behavioral analysis.Rapidly transition product initiatives from concept to launch, continuously refining the loop between learning and development.Elevate the standard of product thinking within the team by mentoring others, introducing scalable frameworks, and ensuring the team remains closely aligned with customer needs.Your Profile:Expertise: You are a domain expert whose knowledge is invaluable to colleagues, including other product managers.Systems Thinker: You have a deep understanding of customer journeys, funnels, and feedback mechanisms, connecting user behavior to outcomes and revenue impact, rather than viewing features in isolation.Engineering Collaborator: You work intimately with engineers and founders, translating user insights into clear problem definitions and practical trade-offs.

PlayStation, part of Sony Interactive Entertainment and a subsidiary of Sony Group Corporation, is known worldwide for its impact on entertainment. The PlayStation lineup includes PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and a collection of titles from PlayStation Studios. The company values inclusion and diversity, working to foster an environment where employees feel empowered. Those interested in innovation, technology, and gaming are welcomed to explore opportunities within the global PlayStation community. Role overview The Visual Computing Group (VCG) at PlayStation is hiring a Senior Manager of Machine Learning in London, United Kingdom. This leadership role guides research and development in neural networks and machine learning to influence the future of gaming and live streaming. VCG develops and implements advanced machine learning strategies to enhance game rendering and streaming systems for Sony Interactive Entertainment. The team’s work targets improvements in runtime efficiency, visual quality, and latency. With the recent acquisition of Cinemersive Labs, VCG has expanded its machine learning projects and ambitions.

As a Design Manager for Subscriptions at Spotify, you will lead a talented team of designers, fostering creativity and innovation to enhance our subscription offerings. Your role will involve collaborating with cross-functional teams to develop user-centric design solutions that delight our users and drive engagement. You will be pivotal in shaping the strategic direction of our subscription services, ensuring a seamless and engaging user experience.

As Canva continues to expand, the influence and potential of our AI-driven features are growing exponentially. We are in search of a Machine Learning Engineering Manager who will guide a remarkable team of Research Scientists and Machine Learning Engineers, develop production-ready evaluation systems, and transform advanced ML capabilities into exceptional product experiences. If you excel at merging rigorous engineering with practical application and enjoy fostering the growth of others while tackling challenging technical issues, this role is tailored for you.About the Role:In this position, you will lead and nurture a high-performing team of Machine Learning Engineers and Research Scientists (based in Europe) dedicated to advancing the future of AI on a large scale. Your primary focus will be on establishing strategic technical direction, mentoring team members to deliver impactful engineering solutions, and ensuring the deployment of robust, scalable ML systems into production. You will advocate for engineering excellence and measurable impact, connecting foundational model capabilities with real-world implementation across Canva's platform.This is a hands-on leadership role ideally suited for someone passionate about developing talent, crafting a technical vision, and collaborating across functions to integrate cutting-edge AI into delightful user experiences.Your Responsibilities Will Include:Providing coaching and mentorship to a high-performing team of Machine Learning Engineers and Research Scientists.Overseeing the evaluation infrastructure - designing, building, and maintaining robust evaluation systems, quality metrics, safety monitoring, red-teaming, and competitive benchmarking to ensure enterprise readiness and user satisfaction at scale.Creating automated metrics that consistently predict human aesthetic judgment across dimensions such as visual hierarchy, layout coherence, typography, and brand alignment.Consulting on human evaluation pipelines and closing the feedback loop between user signals and model improvements.Defining technical strategy in alignment with Canva's AI and product objectives.Guiding engineering direction across model deployment, evaluation infrastructure, and production systems.Collaborating across functions to ensure ML capabilities translate into reliable product impact.You May Be A Great Fit If You:Have led machine learning engineering teams with a proven track record of coaching and delivering production systems.Possess deep expertise in deploying and scaling generative models (Diffusion, GANs, VAEs, LLMs) in production settings, particularly emphasizing visual models (image, video, design).Bring hands-on experience in building ML infrastructure, evaluation pipelines, and monitoring systems at scale.Excel in developing data-driven evaluation methodologies that transform user analytics and production metrics into actionable insights.

Spotify is hiring a Machine Learning Engineering Manager in London. This role leads teams working at the intersection of music and technology, focusing on projects that improve Spotify’s music streaming services and increase user engagement. Role overview The Machine Learning Engineering Manager guides engineers and data scientists in developing algorithms and solutions that refine platform performance and user experience. The position involves overseeing project direction and ensuring technical excellence in machine learning initiatives. Collaboration Work closely with a group of skilled engineers and data scientists. The team’s goal is to deliver improvements that directly impact how listeners experience music on Spotify. Location This position is based in London.

About UsFounded in the United States in 2022 and now headquartered in London, UK, Recraft is revolutionizing the creative landscape with its cutting-edge AI tool designed specifically for professional designers, illustrators, and marketers. Our platform sets a new benchmark in image generation excellence.Our innovative tool empowers creators to swiftly generate and refine original images, vector art, illustrations, icons, and 3D graphics using AI technology. With over 3 million users across 200 countries, who have collectively produced hundreds of millions of images, Recraft is just at the beginning of its journey.Join us and explore a universe of professional opportunities! Contribute to large-scale projects and help shape the future of creativity. We are dedicated to making Recraft an indispensable daily tool for every designer, setting the industry standard. Our mission is to enable creators to fully control their creative process with AI, equipping them with innovative tools to turn their ideas into reality.If you are enthusiastic about pushing the boundaries of AI, we welcome you to join our team!

About RelationRxRelationRx is a groundbreaking TechBio organization at the forefront of developing transformative medicines, driven by advanced technology. Our mission is to gain unprecedented insights into human biology and discover therapies for some of the most challenging diseases. We harness the power of single-cell multi-omics, functional assays, and machine learning to enhance our understanding of diseases from their origins to potential cures.As we rapidly expand, we are assembling a team of extraordinary individuals dedicated to redefining the landscape of drug discovery. You will collaborate within highly interdisciplinary teams where biology, computation, and engineering intersect to tackle complex, unsolved problems. Our cutting-edge labs in central London are designed to facilitate this integration and translate insights into tangible impacts.We are devoted to fostering diverse and inclusive teams. RelationRx is an equal opportunity employer and does not discriminate based on gender, sexual orientation, marital status, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability, or age.By joining RelationRx, you will play a crucial role in shaping the future of medicine discovery and making a significant impact on patients' lives.The OpportunityRelationRx presents an exceptional opportunity for a Machine Learning Scientist to contribute to the development of next-generation generative and predictive models focused on cellular behavior. Your contributions will be pivotal in our efforts to comprehend and influence cellular decision-making, enabling innovative therapeutic strategies rooted in generative models.You will be part of a team equipped with state-of-the-art multiomic and interventional datasets, advanced computational tools, and extensive interdisciplinary expertise. We embrace contemporary machine learning methodologies, including agentic workflows, to expedite research iterations. This role offers the chance to expand the horizons of generative modeling in complex, high-dimensional, and noisy real-world systems while directly applying your work in experimental biology.Your Daily ResponsibilitiesDesign and implement generative modeling techniques that learn intervention effects from diverse biological datasets, including single-cell perturbation experiments.Create models that go beyond mere correlation, emphasizing generalization, counterfactual prediction, and experimental design.Collaborate with experimental teams to develop and validate computational hypotheses through iterative strategies aimed at identifying the most significant next experiments.

Join datatonic as a Senior Machine Learning Engineer and be a pivotal part of our innovative team focused on transforming data into actionable insights. In this role, you will leverage your expertise in machine learning to develop and enhance algorithms, contribute to data-driven solutions, and collaborate with cross-functional teams to push the boundaries of data analytics.

At Intercom, we are revolutionizing customer service through artificial intelligence, empowering businesses to deliver outstanding customer experiences.Our AI agent, Fin, stands as the most sophisticated customer service AI agent available, allowing companies to provide continuous, flawless customer support, ultimately enhancing customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite—a comprehensive solution that offers AI-augmented assistance for more complex or high-touch inquiries that necessitate human intervention.Since our inception in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide and is setting a new benchmark in customer service. Guided by our core values, we consistently push boundaries, work with speed and intensity, and deliver exceptional value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is tasked with defining innovative ML features, researching suitable algorithms and technologies, and quickly delivering initial prototypes to our customers.Our team is deeply product-focused, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions just weeks after successful offline testing.We are passionate about harnessing machine learning technology, having productized everything from traditional supervised models to cutting-edge unsupervised clustering algorithms and novel transformer neural network applications. We rigorously evaluate the real customer impact of each model we deploy.What Will I Be Doing?Identifying opportunities where machine learning can add value for our customers.Defining the appropriate ML framing for product challenges.Collaborating with teammates and stakeholders from Product and Design.Conducting exploratory data analysis and research.Gaining a deep understanding of the problem areas.Researching and selecting the most suitable algorithms and tools.Being pragmatic while pushing the boundaries of innovation when necessary.Performing offline evaluations to validate algorithm effectiveness.Working alongside engineers to transition prototypes into production.Planning, measuring, and sharing insights to guide iterative development.Collaborating closely with the team and others to create exceptional ML products.

About AnthropicAt Anthropic, we are dedicated to developing reliable, interpretable, and controllable AI systems. Our goal is to ensure that AI technology is safe and beneficial for both users and society. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create advantageous AI systems.About the TeamsThe Reinforcement Learning teams at Anthropic spearhead our research and development in reinforcement learning, playing an essential role in enhancing our AI systems. We have made significant contributions to all Claude models, particularly impacting the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work encompasses several critical areas:Creating systems that empower models to utilize computers effectively.Enhancing code generation through reinforcement learning techniques.Conducting pioneering RL research for large language models.Establishing scalable RL infrastructure and training methodologies.Improving model reasoning capabilities.We work closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and secure. Additionally, we collaborate with the applied production training team to seamlessly integrate research advancements into deployed models, demonstrating our commitment to implementing research at scale. Our Reinforcement Learning teams operate at the intersection of cutting-edge research and engineering excellence, dedicated to building high-quality, scalable systems that expand the possibilities of AI.About the RoleAs a Research Engineer in the Reinforcement Learning domain, you will partner with a diverse group of researchers and engineers to enhance the capabilities and safety of large language models. This position merges research and engineering responsibilities, requiring you to implement innovative approaches while contributing to the research strategy. You will engage in fundamental research in reinforcement learning, developing 'agentic' models capable of tool use for open-ended tasks such as computer usage and autonomous software generation, improving reasoning skills in disciplines like mathematics, and creating prototypes for internal applications, productivity, and evaluation.Representative Projects:Design and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters, scaling our systems to manage increasingly complex research workflows.Invent, implement, and evaluate novel training environments, evaluations, and methodologies for reinforcement learning.

Join datatonic as a Machine Learning Engineer and be part of a dynamic team dedicated to leveraging data to drive intelligent decision-making. You will design and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to deliver innovative solutions.

Join Spotify as an Engineering Manager focused on our Subscriptions team, where you'll play a crucial role in shaping the future of our subscription services. As a leader in this dynamic and innovative environment, you will guide a talented engineering team, driving technical excellence and fostering a collaborative culture. Your expertise will help enhance our subscription offerings, ensuring they meet the evolving needs of our users.

Join trainline as a Machine Learning Engineering Manager and lead innovative projects in the supply chain sector. You will be responsible for guiding a team of talented engineers to develop cutting-edge machine learning solutions that optimize our operations and enhance customer experience. Your expertise will help drive data-driven decision making and improve efficiency across various processes.

Join Trainline as the Head of Machine Learning Engineering, where you'll lead our innovative machine learning initiatives. In this pivotal role, you will spearhead the development and implementation of advanced ML solutions that enhance our customer experience and optimize our operations.

Join Vortexa, a leader in the energy data analytics sector, as a Data Scientist specializing in production-grade machine learning. In this role, you will harness the power of advanced algorithms to process thousands of energy data points per second from diverse operational sources. Your expertise will be crucial in managing vast datasets while implementing sophisticated classification and anomaly detection models in real-time. You will maintain comprehensive data lineage and deliver actionable insights through high-performance platforms utilized by energy operators around the world.As a member of the Data Platform Team, you will oversee all machine learning operations across our extensive energy data ecosystem. Your work will span from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations.We pride ourselves on developing a robust suite of statistical and machine learning models that provide the most precise and actionable insights into energy operations. Our models are continuously validated by in-house energy analysts and traders, ensuring the reliability of our predictions. You will play a key role in designing and building ML infrastructure and applications that enhance the design, deployment, and monitoring of ML pipelines and models.Collaborating closely with software engineers, fellow data scientists, and energy analysts, you will help bridge the gap between research experiments and production energy systems, ensuring operational uptime and fault tolerance of our ML platform.

Join Our Team as a Staff Machine Learning EngineerBecome an integral part of Deliveroo’s mission to revolutionize the shopping and dining experience with a focus on impact, innovation, and growth. Our talented Engineering teams tackle intricate technical challenges within a global, three-sided marketplace, developing and scaling systems that cater to millions of customers, riders, and partners daily.From advanced real-time logistics to robust infrastructure and marketplace optimization, we create and manage the technology that fuels Deliveroo’s expansive growth.We are seeking a Staff Machine Learning Engineer to join our dynamic London team (working in a hybrid model, 3 days in the office). In this pivotal role, you will design and construct intelligent decision-making systems that operate at a large scale, directly influencing the experiences of consumers, riders, and merchants.Explore our Engineering team and discover our motivations, work culture, and what you can expect as part of our community.Your ResponsibilitiesJoin the Consumer Pricing team to tackle complex pricing challenges at Deliveroo. We are advancing towards dynamic, personalized pricing strategies that take into account consumer behavior, loyalty programs, and real-time market conditions.Your daily tasks will include:Designing and developing high-performance machine learning and optimization systems that guide Deliveroo’s core decisions at scale.Leading the technical advancement of our pricing infrastructure, resolving architectural bottlenecks and integrating enhanced model inputs and decision variables.Creating algorithms to enhance real-time marketplace efficiency, including personalized elasticity models and delivery time forecasts.Collaborating closely with Product Managers and Data Scientists to convert complex business challenges into effective algorithmic solutions.Providing technical leadership across various product domains, identifying and prioritizing high-impact algorithmic enhancements.Mentoring and guiding fellow engineers, elevating technical standards and advancing our machine learning and optimization practices across the company.Qualifications for SuccessThe ideal candidate will possess strong expertise in several of the following areas, along with a desire to grow in others: