Research Scientist in Generative AI at reliant-ai | Berlin

About UsAt reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.We believe that the true potential of generative AI…

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

Mirelo AI is at the forefront of innovation, crafting the future of creative tools through advanced technology that generates realistic sound, speech, and music from video.Our pioneering foundational generative AI models breathe life into silent video content, producing custom, hyper-realistic audio tailored for gaming, video platforms, and content creators. By empowering storytellers worldwide, we enable the transformation of their narratives.After successfully securing a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures, with additional support from Atlantic, we are rapidly scaling our teams across Product, Engineering, Go-to-Market, and Growth.Role OverviewAs a Research Scientist at Mirelo, you will be central to the development of next-generation multimodal video-to-audio models. This position entails hands-on research and development work, supported by an impressive H100/200-per-engineer ratio, allowing you to explore and innovate new multimodal models and extend the frontiers of music, sound, and speech generation. Your collaboration across research and engineering will be key as you conduct focused ablation studies, derive actionable insights, and guide the team with clear next steps. From data curation to deployment, you will actively contribute to shaping the entire lifecycle of the models that drive our products and partnerships.Key ResponsibilitiesDesign, implement, and train large-scale multimodal generative models for audio generation (including diffusion and autoregressive models).Investigate innovative modeling concepts for audio generation across music, sound, and speech, drawing inspiration from the language and image domains.Develop and test new capabilities through post-training methods (e.g., fine-grained control, in/out-painting, editing).Conduct thorough ablation studies, derive actionable insights, and effectively communicate findings to guide future research directions.Engage in all stages of model development, including data curation, experimentation, evaluation, and deployment.Ideal Candidate ProfileProven hands-on experience in training large-scale generative models within a dynamic research environment.In-depth understanding of advanced methods and machine learning research in at least one domain: image, language, video, or audio (specific audio expertise is a plus).Strong proficiency in PyTorch and transformer architectures, alongside a comprehensive knowledge of the modern deep learning ecosystem.Solid grasp of statistical methods, data analysis, and model evaluation techniques.

Join Mirelo AI in revolutionizing creative tools by crafting realistic sound, speech, and music from video content.We are at the forefront of developing innovative generative AI models that enhance silent video content, delivering custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers storytellers around the world to elevate their content.Having recently secured a $41 million Seed funding round co-led by Andreessen Horowitz and Index Ventures, with contributions from Atlantic, we are rapidly expanding our teams across Product, Engineering, Go-to-Market, and Growth initiatives.About the RoleAs a Research Scientist at Mirelo, you will play a pivotal role in pushing the boundaries of generative audio. Your innovation will directly impact the quality of our underlying audio representations. You will engage with our modeling stack, designing, training, and assessing neural audio codecs that will influence the performance of our next-generation music and sound models. Collaboration with the model team will be essential as you explore both continuous and discrete representations and develop evaluation tools to measure our progress in building superior generative audio models.

About Parloa Parloa is dedicated to transforming customer interactions into seamless experiences. As the demand for agentic AI grows, our team is at the forefront of redefining customer support, ensuring that every interaction is not just a transaction but a meaningful exchange. With the power of AI, we have facilitated over one billion interactions for leading global brands like IKEA and Booking.com, implementing our solutions at scale. About the Role: We are looking for a Principal Applied Scientist who will spearhead our applied AI strategies, focusing on AI agents and Generative AI. This role is both hands-on and impactful, bridging the gap between research and production. You will explore, validate, and enhance methodologies that directly influence our products, including model evaluation, agent behavior, and context engineering. You will also define the metrics for measurement and improvement across the industry. In addition to execution, you will serve as a technical leader, identifying opportunities and building a robust framework for applied science at Parloa. Areas of Ownership: Define and lead applied AI initiatives focused on agent systems, LLM evaluation, and model optimization. Manage ambiguous problem spaces end-to-end: from conceptualization and experimentation to real-world impact. Design and implement evaluation & benchmarking frameworks, challenging existing industry standards and creating new benchmarks where necessary. Drive innovation in agentic systems, including routing, memory, and context engineering. Prototype and validate new methodologies, such as model combinations and fine-tuning strategies. Translate research into production-ready solutions in close collaboration with engineering teams. Act as a technical authority, mentoring team members and establishing best practices. Establish and lead the Applied Science guild, promoting knowledge sharing and elevating standards across teams. Influence product and technical strategy, pinpointing how applied science can drive maximum value. Who You Are: 12+ years of experience in applied science or a related field. Proficient in AI agent technology and generative models. Strong problem-solving skills with a passion for innovation. Exceptional leadership and mentoring abilities. Ability to collaborate effectively across teams.

About UsAt Helsing, we empower machines with advanced AI capabilities that enhance human decision-making and perception. Join us to make a significant impact in a high-stakes environment, where robust AI solutions must meet hardware constraints while defending against adversarial threats.As part of our AI Assurance team, you will pioneer innovative methods for the scalable evaluation of AI products across our organization. Your role will involve designing data collection and experimentation strategies to derive causal insights, thereby promoting responsible decision-making through effective uncertainty quantification and safety protocols.Your Daily ResponsibilitiesYou will define operational domains and assess the reliability of our in-house AI capabilities. Your expertise will help advance the state-of-the-art in uncertainty quantification and calibration. This role requires a deep understanding of our AI systems, enabling you to interface effectively and evaluate their resilience in real-world and adversarial settings. You’ll collaborate on impactful projects with diverse teams, contributing to our mission.

Superhuman offers a full-time dynamic hybrid working model for this role. This flexible approach allows team members to experience the best of both worlds: a balance of focused work time and in-person collaboration that nurtures trust, creativity, and a robust team culture.About SuperhumanSuperhuman, which now includes Grammarly as part of its suite, is an innovative AI productivity platform on a mission to unleash superhuman potential in everyone. Our apps and intelligent agents seamlessly integrate with over a million applications and websites, making work more efficient. Our offerings include Grammarly’s advanced writing assistance, Coda’s collaborative workspaces, Mail’s effective inbox management, and Go, our proactive AI assistant that understands context and provides timely support. Founded in 2009, Superhuman serves over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, enabling them to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for an Applied Research Scientist who possesses a strong interest in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. This team is dedicated to developing user-facing features across all Superhuman applications, enhancing the way our users write, collaborate, and communicate in large groups. The successful candidate will contribute unique insights during the product development process, from ideation through to defining solutions. Leveraging a profound understanding of ML/DL/NLP concepts, the Applied Research Scientist will design approaches to tackle complex challenges and enhance our product offerings.At Superhuman, our engineers and researchers enjoy the freedom to innovate and explore groundbreaking solutions, which directly influences our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the technical challenges we face are rapidly evolving. For more insights, read about our tech stack or check out our technical blog.Your ImpactAs an Applied Research Scientist, you will harness your enthusiasm for creating innovative product solutions that positively impact millions. Staying abreast of the fast-evolving field of NLP while focusing on building production-ready systems will be key to your success.

At Pipedrive, we recognize that exceptional products are the result of exceptional people. Our team embodies our core values, and we prioritize these in our hiring process. Since our inception in 2010, we have been dedicated to empowering sales and marketing teams with intuitive, robust tools that streamline daily operations. Today, our cloud-based platform is trusted by over 100,000 businesses across 179 countries. From a humble beginning of just five individuals, we have expanded to a diverse, global workforce of over 850 professionals from more than 50 nationalities, with ten offices across Europe and the U.S. In 2020, we celebrated a significant milestone when Vista Equity Partners, a leading global investment firm focused solely on enterprise software, data, and technology-enabled companies, became our majority investor, placing Pipedrive among Estonia's elite unicorns.We are currently seeking a Principal AI/ML Scientist & Engineer to spearhead a dynamic team of Applied Scientists and AI/ML Engineers. This role is ideal for a pragmatic "Builder-Scientist"—a technical leader with a rigorous scientific background who is also passionate about delivering data products that captivate our customers. You will define the technical roadmap for AI/ML solutions that harness the potential of both structured and unstructured data, effectively bridging the divide between cutting-edge research and production-ready systems. Your success will be measured by your technical leadership, the leverage you provide, and the tangible business results you drive.

Are you ready to redefine your career? At Almedia, we offer a unique opportunity to accelerate your journey in an environment that champions innovation and ambition. As we strive to establish ourselves as Germany's second bootstrapped unicorn, we are proud to hold the title of Europe’s #3 fastest-growing company as recognized by the FT1000 in 2025.We are at the forefront of transforming marketing, rewarding our community of over 60 million users for engaging with leading brand products. Join us in revolutionizing user acquisition strategies for some of the world’s largest companies.At Almedia, you will:Take Ownership Early: You will be entrusted with significant responsibilities from day one.Pursue Excellence: We value intensity and reward your efforts above the conventional 9-5.Thrive in a Unique Culture: Collaborate with a team of high-achieving, ownership-driven individuals.Engage Fully: Our office presence five days a week fosters a dynamic and energetic workplace.As our Creative Generative AI Specialist, you will be the driving force behind our creative processes. Rather than merely utilizing tools, you will architect systems that shape the future of our visual content. Your objective is to innovate beyond traditional workflows by harnessing advanced AI technologies to produce high-impact assets at scale.Your Key Responsibilities Design Automated Pipelines: Create and oversee complex, node-based automation workflows and AI agents to streamline production from concept to execution.Enhance Creative Output: Generate high-performance video advertisements and social media assets by incorporating AI-generated characters, movements, and voice synthesis.Fine-Tune Models: Train and apply LoRAs and fine-tune models to ensure consistency in branding, products, and characters across all media.Integrate Technology: Collaborate with technical leads to embed AI models through APIs and custom scripts into our Digital Asset Management (DAM) and User-Generated Content (UGC) tools.Iterate for Performance: Utilize AI agents for rapid localization and asset optimization, testing multiple variations based on real-time data from our User Acquisition and Data teams.Research & Development: Maintain an industry-leading perspective through continuous benchmarking and experimentation.

About UsHelsing is a pioneering defense AI company dedicated to safeguarding democracies. Our mission is to achieve technological leadership, ensuring that open societies can maintain sovereignty over their decisions and ethical standards.As advocates for democratic values, we recognize our profound responsibility in the thoughtful advancement and application of transformative technologies like AI. We take this commitment seriously.Our team consists of passionate engineers, AI specialists, and customer-oriented program managers. We are on the lookout for mission-driven individuals to join our European teams and leverage their skills to tackle the most complex and impactful challenges. We foster an open and transparent culture that encourages healthy discussions about the utilization of technology in defense, its advantages, and its ethical considerations.The RoleAt Helsing, we are revolutionizing perception by developing foundational intelligence for the physical world. You will engage in researching, designing, and training large-scale Foundational Models that convert intricate multimodal sensor data into innovative autonomous capabilities.We are in search of an individual who operates at the nexus of AI Research and Machine Learning Engineering, possessing a proven background in LLM/VLM (multimodal) architectures. Your core responsibility will involve training and fine-tuning Vision-Language Models using our proprietary datasets to enhance our diverse product offerings. You will oversee the entire model lifecycle, from data curation and training to evaluation.

About UsHelsing is a cutting-edge AI company dedicated to advancing defense technologies. Our mission is to safeguard democratic values and ensure that societies can make autonomous decisions while upholding ethical standards. We are committed to responsible technology development and deployment, particularly in the realm of AI.Our team comprises driven engineers, AI experts, and client-facing program managers united by a common purpose: tackling the most challenging and significant problems. We foster a culture of transparency and encourage open discussions surrounding the ethical implications of technology in defense.The PositionAs an AI Research Engineer at Helsing, you will be at the forefront of innovating autonomous decision-making systems for defense. Your work will encompass a wide range of AI applications, including extensive data processing, reinforcement learning agent training, and the development of large-scale foundational models. Collaborating within a diverse team, your responsibilities will include architecting and implementing robust tools and platforms that drive these advancements. You will focus on abstracting complex distributed systems to enhance training efficiency and developer productivity. We seek engineers who can effectively blend machine learning with systems engineering to create scalable solutions.Key Responsibilities:Enhance our integrated deep learning frameworks, built on PyTorch, to make them efficient and user-friendly across various applications.Expand our infrastructure and tooling to facilitate faster and larger-scale distributed training.Devise data strategies to manage extensive datasets effectively.

Join Our TeamAt Prior Labs, we are revolutionizing the way organizations interact with tabular data—the essential framework of scientific and business operations. While foundation models have already transformed text and image processing, structured data has largely been overlooked. We are seizing a $600B opportunity to redefine how industries manage their scientific, medical, financial, and business information.Our Achievements: As the leading authority in structured data machine learning, our TabPFN v2 model has set a new benchmark presented in Nature. With over 2.5 million downloads and more than 5,500 stars on GitHub, our model capabilities have grown by over 20x, showcasing its rapid adoption across both research and commercial sectors. We are now developing the next generation of tabular foundation models for global enterprises in Europe and the US.About Our Team: Comprising over 20 elite engineers and researchers selected from a pool of more than 5,000 candidates, our team boasts expertise from industry giants such as Google, Apple, Amazon, and CERN. Led by the creators of TabPFN and advised by eminent AI researchers like Bernhard Schölkopf and Turing Award winner Yann LeCun, we are poised for groundbreaking advancements. Meet the team here.Looking Ahead: With backing from top-tier investors and industry leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting time to join us as we shape the future of structured data AI. Explore our manifesto.Role OverviewAs a pioneering Research Scientist, you will be at the forefront of developing a groundbreaking class of AI models. Our latest innovation, TabPFN, has significantly outperformed existing methodologies, marking a pivotal moment in AI research. This role offers a unique chance to:Engage in transformative AI breakthroughs rather than merely incremental advancements.Influence global organizational practices regarding their most valuable data.Join us at a crucial juncture following our recent funding and rapid scaling.We are challenging the limits of transformer architectures in structured data. Key challenges include...

Role overview Delivery Hero SE seeks a Senior AI Scientist for the Vendor Data Team in Berlin. This role centers on Agentic AI, with a focus on enhancing how vendor data supports the company’s operations. What you will do Create AI-driven solutions to improve vendor data processes and capabilities Collaborate with colleagues from various backgrounds to design, build, and refine AI models Use expertise in artificial intelligence to address business challenges and inform important decisions

Join Our Dynamic AI Team:At SumUp, a leader in the fintech space, we are dedicated to providing an unparalleled customer experience. Our Global Operations team seeks a talented and enthusiastic Data Scientist to enhance our AI initiatives. You will play a pivotal role in developing models that directly impact customer interactions and the overall efficacy of our AI products.In this position, you will engage in the design, testing, and implementation of advanced machine learning and AI models. Your efforts will bolster our customer support framework by pinpointing areas for improvement and customizing experiences to meet merchant requirements.Your collaboration with diverse teams—including analysts, ML engineers, and product managers—will be essential in translating business objectives into actionable, measurable ML solutions. Your work will shape the future of our customer support, enabling SumUp to remain a customer-centric organization.

Your RoleDevelop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.QualificationsDemonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.Our Data Science StackLanguages: Python, SQLLibraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNXBackend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQueryAI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.Bonus PointsContributions to open-source projects.Deployment of side/hobby projects.

About zenjob zenjob connects companies with temporary workers through an AI-powered staffing platform. Since 2015, zenjob has helped businesses instantly book staff and enabled students to find part-time jobs that fit their academic schedules. The platform serves over 40,000 students and 1,000 partner companies in logistics, retail, and hospitality across major German cities. The team believes that advanced technology and genuine commitment lead to great work. Role Overview: Data Scientist The Data Scientist will analyze and optimize marketplace performance while uncovering talent behavior from first engagement through long-term retention. This role sits within a centralized Analytics & Data Science team, working closely with Marketing, Sales, Product & Engineering, and Operations. The main goal: define clear metrics, build reliable data models, and turn complex analysis into business decisions that drive results. Main Focus Areas Marketing Effectiveness: Study the impact of different channels and campaigns on growth. Talent Lifecycle: Explore user behavior from acquisition and activation to retention and lifetime value. Marketplace Performance: Examine how supply and demand interact on the platform. Your Responsibilities Define and maintain key metrics across the marketplace and user lifecycle, using reliable dbt models trusted by all teams. Build self-service dashboards, reporting layers, and playbooks that make data more accessible and actionable for internal teams. Develop attribution and measurement models (such as multi-touch attribution, data-driven attribution, and Marketing Mix Models) to assess channel effectiveness in acquisition and engagement. Model talent behavior with a focus on conversion, retention, and Customer Lifetime Value to support sustainable marketplace growth. Design and evaluate experiments (including A/B tests and incrementality tests) to measure the causal impact of marketing and product changes.

About UsHelsing is a pioneering AI defense company dedicated to safeguarding our democratic values. Our goal is to achieve technological excellence to ensure that open societies can maintain autonomy over their ethical standards and decision-making processes. We are committed to thoughtful development and responsible deployment of transformative technologies such as AI.Our team is composed of passionate software engineers, AI specialists, and dedicated program managers. We invite mission-driven individuals to join our European teams to tackle some of today's most complex and significant challenges.We foster a culture of openness and transparency, encouraging constructive discussions on the role of technology in defense, its advantages, and its ethical considerations.Job RoleAs an AI Research Engineer specializing in Signal Processing at Helsing, you will be instrumental in creating AI-driven solutions that empower machines to support human decision-making.This position offers a rare chance to influence AI capabilities in a demanding field where advanced generalization must coincide with stringent hardware limitations and resilience against adversarial threats.You will collaborate with a dedicated signal processing team to devise in-house solutions for challenges encountered in various environments, including aerial and underwater.Daily ResponsibilitiesYour responsibilities will include advancing and implementing cutting-edge signal processing techniques in practical scenarios.You will engage in collaborative projects, working alongside professionals from diverse backgrounds and expertise.Who Should ApplyIf you possess a Master’s degree in signal processing, machine learning, robotics, communication engineering, or a related discipline, and have a proven track record of conceptualizing, implementing, and rigorously evaluating advanced systems, we encourage you to apply.

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the way we process text and images, the potential of structured data remains largely untapped. We are seizing a monumental $600B opportunity to redefine how organizations interact with scientific, medical, financial, and business datasets.Our Momentum: We are recognized as the global leader in structured data machine learning. Our groundbreaking TabPFN v2 model, featured in Nature, has set a new benchmark for tabular machine learning. Since its launch, we have scaled our model's capabilities by over 20 times, achieving more than 2.5 million downloads and garnering over 5,500 stars on GitHub. Our technology is rapidly gaining traction in both research and industry, paving the way for the next generation of tabular foundation models which we are actively commercializing with leading enterprises across Europe and the US.Our Team: We are a selective and dynamic group of over 20 engineers and researchers, handpicked from a pool of more than 5,000 applicants. Our diverse backgrounds include industry giants such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and receive guidance from eminent AI researchers, including Bernhard Schölkopf and Turing Award laureate Yann LeCun. Discover more about our team here.Join Us: With support from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is your chance to help shape the future of structured data AI. Read our manifesto.Your Impact AreasAs a Research Scientist Intern, you will be at the forefront of collaborating on a novel class of AI models that go beyond mere incremental improvements. At our early-stage startup focused on foundation models for tabular data, you will encounter a myriad of thrilling research opportunities and challenges that align with your interests and expertise. Our initiatives include:Enhancing our transformer architectures to effectively handle datasets from 10K to over 1M samples without sacrificing performance.Developing multimodal models that integrate textual and tabular data on proprietary datasets.Creating tailored architectures for time series analysis, forecasting, and anomaly detection.

Join our innovative AdTech data science team as a Principal Data Scientist focused on Vendor Recommendations and AI, and help us enhance customer experiences.At Delivery Hero, you will play a crucial role in supporting the success of numerous restaurants, shops, and local businesses. Your insights will enable vendors to harness advanced tools for operational management, enhancing their visibility and market reach. Each feature you contribute to will create growth opportunities for diverse businesses, fortifying Delivery Hero’s ecosystem.Our AdTech division connects consumers with new culinary delights while allowing our partners to engage potential customers at the right moment. We have crafted a suite of products that deliver advertising solutions to restaurants, aiding them in boosting visibility, improving order conversion, and ultimately driving increased sales across the marketing funnel. Operating in over 50 countries, our AdTech connects ideal advertisers with their target customers millions of times daily. The data science team is pivotal in this growth, enhancing personalization, ranking, relevance, and recommendations.Ownership: Spearhead the design, construction, and deployment of comprehensive AI recommendation systems that yield multi-million-euro business results for the vendor sector.NBA Framework: Manage the architecture and modeling to establish the best sequence and timing of actions (e.g., ad recommendations, promotional offers) to optimize vendor success metrics.Time-Series & Forecasting: Direct vital initiatives in advanced time series modeling for demand forecasting, vendor projections, and analyzing long-term vendor trends.Commercial Insights: Serve as the technical authority for take rate optimization, utilizing statistical rigor and causal methodologies to evaluate the impact and efficiency of vendor-facing pricing and ad tech strategies.Cross-Functional Collaboration: Be the lead technical partner for Product, Engineering, and Commercial teams to validate business hypotheses and align on the recommendations strategy.

Superhuman embraces a vibrant hybrid working model, offering team members the perfect blend of focused work time and in-person collaboration, fostering trust, innovation, and a robust team culture.About SuperhumanGrammarly is now a part of Superhuman, an AI productivity platform dedicated to unlocking the superhuman potential within everyone. The Superhuman suite of applications and agents integrates with over 1 million tools and websites, bringing AI capabilities directly to users. Our product range includes Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, an AI assistant that intuitively understands context and provides automated help. Since our inception in 2009, Superhuman has empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions around the globe, enabling them to eliminate busywork and concentrate on what truly matters. Discover more about us at superhuman.com and our values here.The OpportunityAt Superhuman, we are redefining communication and productivity through trusted AI. We are looking for a Senior User Researcher to join our impactful UX and Marketing Research team. In this critical role, you will spearhead research initiatives for our innovative Agents team, playing a key role in shaping the development and strategic vision of products designed to enhance productivity for professionals and students alike.In this position, you will collaborate closely with cross-functional teams—Product, Design, Data Science, and Marketing—to pinpoint essential business inquiries, employ rigorous methodological approaches, and distill insights that guide strategic decisions. By utilizing various research techniques, you'll uncover actionable insights about current and prospective Superhuman users, while promoting a culture of human-centered, data-driven decision-making that propels our evolution as leaders in AI-assisted communication.