Senior Manager, Clearing Operations

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. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. Flexdrive builds the operational backbone for the future of mobility. As a leader in fleet management and a Lyft subsidiary, we're extending our expertise into autonomous vehicle (AV) infrastructure — managing the physical operations that keep AV fleets safe, available, and performing at scale. Our Nashville depot is the first proof point in a multi-market expansion, and we're building the leadership team to sustain and scale it. Reporting to the Senior Manager, AV Operations you'll be instrumental in owning and evolving the operational playbooks for our AV operations. You'll act as the primary operational leader , responsible for creating the strategic framework, executing complex projects, and ensuring the seamless functioning of our AV support infrastructure in close partnership with our AV technology partners. This role is for a hands-on leader with a unique blend of strategic foresight, project management excellence, and deep operational knowledge within the AV or complex fleet management space. If you thrive in ambiguous environments, are adept at building from the ground up, and possess the business acumen to drive efficiency and scalability, enabling our AV operations to thrive, we encourage you to apply. Responsibilities: Execution & Site Management Daily Operational Execution: Lead the day-to-day execution of critical operational systems and processes for our 24/7 AV fleet management operations, including depot layout adherence, vehicle flow (charging, cleaning, maintenance, staging, diagnostics), parts management, and data handling. Operational Resource Management: Manage operational resources (equipment, technology, consumables, staffing) efficiently on a daily basis to ens

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Workplace Experience Ambassador - Job Description About the Role: As a Workplace Experience Ambassador scope of work own the overall workplace experience, be the primary touch point with Client employees, visitors, and service partners - delivering a high-touch and high-impact workplace experience. This role will be responsible for managing daily soft facilities operations in the Singapore office, including close collaboration with building landlord and client’s pantries partners. You’ll work in close partnership with Workplace Experience Manager, Engineering team, Senior Facilities Manager (Site Lead) and the client’s real estate team, contributing to the entire client workplace experience includes cleaning, landscape, pest control, waste disposal, space & move management, events and support pantries management. While the role requires someone highly proactive and independent, you will also be a key collaborator on strategic workplace experience initiatives that enhance employee experience, operational excellence, and our cross-site & function collaboration. Responsibilities: To coordinate all on-site soft facilities operational and ad

This is a senior attorney role to lead the negotiation and execution of derivatives documentation supporting our global Markets trading activities. This role will serve as a key partner to front office, risk, and legal teams, managing complex master trading agreements, such as ISDA and Futures Clearing agreements, and advising on legal and regulatory risk across OTC derivatives transactions. The position requires deep expertise in ISDA Master Agreements, collateral documentation, and derivatives market practice, along with strong stakeholder management and negotiation capabilities. Responsibilities: Serve as lead negotiator and subject matter expert for ISDA Master Agreements, Schedules, Credit Support Annexes (CSAs), and related derivatives and collateral documentation; manage complex, bespoke negotiations across the full documentation lifecycle Provide legal counsel and guidance to Markets business stakeholders, interpreting applicable laws, rules, regulations, and industry practices and delivering commercially practical, risk-appropriate solutions Advise senior management on legal matters impacting trading activities, client relationships, and strategic initiatives, contributing informed, business-oriented perspectives to decision-making Identify, evaluate, and manage legal, regulatory, and reputational risk in coordination with Legal, Risk, and ICRM; ensure alignment with internal policies and applicable regulatory requirements Objectively assess business proposals against institutional risk appetite, regulatory frameworks, and market standards, escalating issues as appropriate Collaborate closely with Trading, Sales, Credit, Risk, Operations, and Legal teams across regions to deliver coordinated, efficient, and consistent outcomes Oversee day-to-day legal and documentation activities as a subject matter expert, ensuring tim

A fast-growing Bangalore-based Robotics Start-up is hiring Sales Associates (B2B Sales) to expand its commercial client network and drive business growth. This is an excellent opportunity for energetic sales professionals who enjoy field sales, client interaction, and achieving targets. Position Details Position: Sales Associate (B2B Sales) Location: Bangalore Job Type: Full-Time Department: Business Development & Sales Key Responsibilities • Identify and approach potential B2B clients in assigned territories. • Present and promote robotic cleaning solutions, including one-time services and AMC plans. • Conduct client meetings, site visits, demonstrations, and requirement assessments. • Generate leads and convert prospects into paying customers. • Build strong relationships with facility managers, business owners, and key decision-makers. • Achieve monthly sales and revenue targets. • Maintain accurate CRM records of leads, meetings, and sales activities. • Coordinate with operations teams for seamless customer onboarding. Eligibility & Skills • 3 5 years of relevant sales experience. • Strong communication, presentation, and negotiation skills. • Fluency in English, Hindi, and Kannada. • Comfortable with field sales, cold calling, and client visits. • Knowledge of B2B sales processes and customer relationship management. • Familiarity with CRM tools and mobile reporting systems. • Two-wheeler mandatory (fuel allowance provided). • Experience in B2B sales, facility management, or related sectors will be an added advantage. Benefits • Attractive salary package with performance-based incentives. • Career growth opportunities into Senior Sales, Manager, and Key Account roles. • Professional training in B2B sales, negotiation, and product pitching. • Opportunity to work with an innovative and rapidly growing Robotics Start-up. How to Apply Interested candidates can send their updated resume along with contact details to: Email: Apply now and become part of the future o

Role Purpose 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 Airflow. Cloud Native: Hands-on ex

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