Responsable Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role The CRM team at Stitch Fix is responsible for strengthening client relationships, maximizing customer lifetime value, and driving long-term retention through data-driven personalization. As a CRM Marketing Manager, you will strategically own and innovate key pillars of our CRM organization. Partnering closely with Creative, Data Science, Product, and Engineering teams, you will deliver highly personalized lifecycle programs across multiple channels to measurably reduce churn, increase reactivation, and elevate the overall customer experience. Responsibilities: Strategize and execute comprehensive, cross-channel lifecycle and transactional programs (including Email, App Push, SMS and Packaging Inserts) to drive customer engagement and loyalty. Own and optimize the end-to-end planning and development workflow for CRM marketing initiatives, ensuring rapid execution and agile adaptation based on performance data. Collaborate cross-functionally with Creative, Product, Engineering, and Customer Service stakeholders to build a seamless customer journey and elevate the role of our Stylists in our content strategy. Leverage advanced data analytics and insights to design personalized CRM programs at scale, identifying new growth opportunities and mitigation strategies for churn. Synthesize and communicate high-level performance reporting and strategic insights to leadership and stakeholders across the organization. How AI and tools show up in your day-to-day work: Leverage generative AI tools (e.g., Ch

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in France. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: France Eligibility : Critically,

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Technical Delivery Manager Are you a technical leader who thrives at the intersection of complex agile delivery, strategic account growth, and executive relationship building? Deliver high-impact digital transformations. Appian Customer Success is obsessed with ensuring our customers achieve remarkable business results through high-value technology engagements. The Delivery Management team is directly responsible for driving customer growth through deep technical expertise, trusted advisory, and demonstrated results. Working in close alignment with Appian Sales and Partners, we lead innovative implementations and turn complex corporate visions into scalable software solutions. As a Technical Delivery Manager (TDM), you will own two of Appian's most critical corporate objectives: orchestrating flawless software delivery and unlocking exponential account growth. This role is unique because it blends technical delivery mastery with strategic account management. You won't just oversee timelines; you will partner with architects, product designers, and client executives to manage large-scale enterprise programs powered by our AI-Powered Process Automation platform. This role is based at our HQ in McLean, VA. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 4 - 5 days per week to foster that culture, ensure we thrive through shared ideas and teamwork, and maximize opportunities to connect with the exceptional people a

As the Team Lead for Ground Operations (3rd Shift), you will drive operational excellence by leading overnight fleet maintenance, rework, and mission readiness activities. Service efficiency and comprehensive fleet preparedness are key drivers of our success, making this role critical to ensuring that vehicle maintenance, reworks, and fleet readiness activities are optimized overnight during low-demand periods. You will be responsible for the holistic readiness of our vehicle fleet, ensuring maximum fleet uptime and vehicle availability for daytime operations. In this technical leadership role, you will ensure vehicles are configured, maintained, and prepared for service, while shaping a positive workshop and depot culture. You will lead a team of skilled vehicle technicians and readiness and response associates on the overnight shift. By optimizing workflows and taking ownership of mission-critical readiness targets, you will act as a strategic partner to cross-functional teams, translating high-level operational goals into actionable plans for your 3rd-shift crew. Shift: Sunday - Thursday, 11:30pm - 8am In this role, you will: Strategic Leadership & Team Culture Overnight Shift Leadership: Provide direct leadership, coaching, and mentorship to both technical staff and contract personnel during the 3rd shift. Team Development: Engage in the recruiting, hiring, onboarding, and training of workshop personnel. Foster a high-performance culture centered on accountability, safety, and continuous improvement. Resource Management: Assist in creating and managing employee and contractor schedules, including time-off. Performance Tracking: Support the tracking of Key Performance Indicators (KPIs) to measure individual and team performance, providing consistent feedback to help your team achieve its mission. Continuous Process Improvement: Identify bottlenecks in overnight workflows and implement lean

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Lead (Manager), Data Validation Specialist to oversee a team of Data Validation Specialists responsible for ensuring the accuracy and integrity of financial data during new client onboarding. You’ll manage daily workflows, ensure consistent data quality across projects, and serve as the primary liaison between the Data Validations team and cross-functional partners. This is primarily a non-client-facing role that plays a key part behind the scenes, requiring focus, consistency, and comfort with repetitive work. It’s a great fit for someone who enjoys working with data in a structured way and takes pride in getting the details right. You’ll be instrumental in fostering a collaborative team culture, driving consistency in our data conversions, and contributing to the growth of both your team and our global function. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Lead and mentor a team of Data Validation Specialists, supporting career development

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Product manager Go-to-Market (GTM) is responsible for leading the strategy, planning, and execution of launch and post-launch activities relating to D&B’s software partnerships, as well as our Industry vertical practices. They work closely with cross-functional teams including strategic partnerships, industry practice leads pricing, marketing, sales, sales enablement, implementation, delivery, and customer success to ensure a seamless and impactful introduction to the market with the alignment across all key teams globally. This role focuses on maximizing D&Bs value proposition & growth objectives by ensuring our services are available and fully activated via the best partnerships & industry verticals. Comfortable collaborating regularly with European team members and willing to work across varying time zones to support global business needs.

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like A

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Manager, Mid-Market Sales to join our dynamic team of creatives, engineers, marketers, and forward-thinking business folks. As our Manager Mid-Market Sales, DACH you will lead a team of Account Executives in the DACH region responsible for continuing the growth of our Enterprise product. You will report directly to our Director, Commercial Sales, DACH. With this role you’ll be part of early DACH in a fast growing sales org. You’ll collaborate with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. This is a full time role that will be held from our Berlin office. What you'll be doing: Create and manage a team of motivated and diverse individuals to foster an environment of success Participate in customer and prospect meetings Assist in continual training and development, including mentorship, hiring and career growth Help craft and further develop sales processes and initiatives Interview, hire and train new team members as we scale the business and company Deliver weekly forecast meetings and mentor Account Executives on strategies to help exceed their goals We’d love to hear from you if you have: 7+ years of sales experience (preferably within SaaS) with 3+ years of management experience Understanding of our technical and competitive landscape and ability to thrive in a constantly evolving environment Fluency in German Excitement for growing customer ha

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

MongoDB is looking for an experienced and results-oriented people leader to help grow our Customer Success program. You will play a key role in the growth and success of MongoDB, our customers and CS team members. Your team will be working directly with our customers, and you’ll help develop an outstanding program in one of its most exciting phases. You will recruit and provide the coaching, mentoring and development that will enable both our high-touch and tech-touch Customer Success teams to positively impact customers, develop skills, and grow their careers over time. In addition to recruiting, retaining, and developing talent, you will also be responsible for crafting and executing initiatives to increase our customer retention and happiness, identify expansion opportunities, and promote customer adoption of MongoDB. We are looking to speak to candidates who are based in Italy, Milan or Rome for our hybrid working model. We’re looking for someone with Passion for and experience in hiring, developing and managing a team of individual contributors; Your team and their success are your top priority A proven track record and experience with fast-growing teams, using data to drive initiatives and guide your decision making processes A mind for technology; We’ll teach you all about MongoDB and databases, but our users and products are inherently technical; You should be too Experience or aptitude for learning enterprise infrastructure technologies; exposure to MongoDB or NoSQL databases is a plus, but not required High organization in your workflows; To lead and execute efficiently, you’ll need to be a specialist in prioritization and time management You know how to deal with ambiguity and be able to navigate through it with perseverance, a positive mentality and a point of view; We’re still growing and learning and will look to you to help us establish and evolve processes A strong desire to embrace partnership and collaboration; You’ll be working with multiple teams

Job Title: Children's Speech and Language Therapist Banding: Band 6 Location: Croydon Healthcare Services Start Date: Immediate Duration: 1-Month Contract with potential of contract extension Working Hours: 37.5 hours per week, Monday to Friday but could also be flexible Job Overview Pulse is currently seeking an experienced and motivated Children's Speech and Language Therapist to join the team at Croydon Healthcare Services . This is an excellent opportunity to work within a children's community service, supporting both early years and school-aged children with communication needs. The successful candidate will be responsible for carrying out assessments, contributing to Education, Health and Care Needs Assessments (EHCNAs), and delivering targeted interventions to help children achieve their communication goals. Key Responsibilities Carry out assessments for children with speech, language, and communication needs. Provide specialist intervention for early years children requiring Speech and Language Therapy support. Complete and contribute to Education, Health and Care Needs Assessments (EHCNAs). Deliver evidence-based therapy programmes tailored to individual needs. Support school-aged children with communication difficulties within educational settings. Liaise effectively with families, schools, and multidisciplinary teams. Maintain accurate clinical records in accordance with professional and organisational standards. Qualifications and Experience Degree or equivalent qualification in Speech and Language Therapy. HCPC registration as a Speech and Language Therapist. Experience working within children's Speech and Language Therapy services. Experience carrying out EHCNAs. Knowledge and experience of supporting early years communication development. Experience working with school-aged children within educational settings. Excellent communication, organisational, and teamwork skills. Ability to manage a varied caseload independently. W

AI Strategy & Transformation – Managing Principal Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape the Future of AI Strategy for the World's Leading Financial Institutions The Role We're looking for an experienced Managing Principal to join Capco's AI Strategy & Transformation practice. In this senior leadership role, you'll partner with C-suite executives across leading financial institutions to define AI strategies, shape enterprise transformation agendas and deliver measurable business value through responsible AI adoption. You'll combine strategic advisory expertise, commercial leadership and transformation delivery to help clients scale AI capabilities, establish effective operating models and realize long-term value from AI investments. Alongside leading major client engagements, you'll play a key role in growing Capco's AI Strategy & Advisory capability, developing our people and expanding our market presence. What You'll Do Lead enterprise AI strategy engagements, defining transformation roadmaps, operating models, governance frameworks and investment priorities. Advise senior executives on AI adoption, business transformation, Responsible AI and value realization across complex Financial Services organizations. Lead large-scale AI transformation programmes while building trusted client relationships and delivering measurable commercial outcomes. Drive business growth by shaping new client opportunities, developing propositions and contributing to AI thought leadership. Coach and develop consulting teams while strengthening Capco's AI Strategy & Advisory capability across the business. What We're Looking For Extensive consulting or advisory experience delivering AI, digital or enterprise transformation within Financial Services. Proven experience advising C-suite stakeholders and leading complex strategic transformation programmes from strategy through implementation. Strong expertise in AI strategy, gov

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team We are looking for someone passionate about fighting fraud, is naturally curious, and has a strong desire to network with peers and partners within the fraud space. You will be responsible for conducting account investigations, making account-level judgements, and providing support for special handling risk cases. You will be confident in looking through data, assessing various indicators, and making judgements on your findings. The right candidate for this role will ideally have some experience in fraud, preferably within ecommerce or payments, and possess a basic understanding of fraud prevention and controls. What you’ll do Responsibilities Investigate accounts to identify fraudulent merchants, card testing, account takeover, and other fraud vectors Conduct investigations on merchant accounts to support financial partner requirements Assess risk factors and trends of potentially fraudulent activity Help maintain fraud detection strategies and business rules that balance fraud loss and customer experience Contribute to root cause analysis to identify opportunities to predict, prevent, and mitigate risk within process and performance Participate in monthly, quarterly, and annual business reviews for the Fraud Operations team Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus,