Cloud Software Team Lead Jobs

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As we continue to expand our presence across Japan, we’re hiring an Enterprise Account Executive based in Tokyo. This is a unique opportunity to make a meaningful impact at a disruptive, fast-growing company as we build out a local team. Our mission is clear: to protect people and places in a privacy-sensitive way. Verkada’s cloud-based technology is transforming physical security across industries like retail, education, manufacturing, healthcare, and more. In this role, you’ll own the full sales cycle and work closely with both end customers and channel partners to win new business and grow existing accounts. If you have a strong background selling security solutions then we want to hear from you. Work Location: Based in Tokyo, with some travel and time spent working at our Shibuya office as needed for customer engagem

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As we continue to expand our presence across South Korea, we’re hiring a Seoul based Account Executive. This is a unique opportunity to make a meaningful impact at a disruptive, fast-growing company as we build out our local team. Our mission is clear: to protect people and places in a privacy-sensitive way. Verkada’s cloud-based technology is transforming physical security across industries like retail, education, manufacturing, healthcare, and more. In this role, you’ll own the full sales cycle and work closely with both end customers and channel partners to win new business and grow existing accounts. If you have a strong background selling security solutions then we want to hear from you. Work Location: Seoul Probation Period: The probationary period is 6 months. There is no anticipated change in working conditions d

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. What you'll do Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets. What's required Experience or demonstrated interest in big data technologies 3+ years of experience in Data Engineering or related field Strong experience in Python Development Experience with Spark or Scala Ability to

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! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. Partner with enterprise IT teams t

Get to Know the Sales Team Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” The Opportunity As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who are based in Toronto for our hybrid working model. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You’ll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and A

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. Position Summary We are seeking a highly motivated and results-driven Sales Manager to support business growth across the North American market, focusing on data center liquid cooling, power supplies, optical modules, and related products. This role will be responsible for developing key customer relationships, driving strategic sales initiatives, and collaborating closely with internal technical teams to deliver customized solutions for customers within the data center and enterprise infrastructure industries. The ideal candidate will possess strong sales experience within data center hardware or related technologies, excellent communication skills, and the ability to manage complex customer engagement processes from opportunity development through project implementation. Key Responsibilities Develop and maintain strong relationships with key accounts across North America, driving sales growth for data center liquid cooling, power supply, optical modules, and related products. Identify new business opportunities and expand strategic customer partnerships within data center, AI infrastructure, cloud computing, networking, and enterprise hardware markets. Collaborate closely with internal R&D, engineering, and product teams to develop a deep understanding of the company’s technologies, products, and solutions. Recommend and deliver customized technical and commercial solutions based on customer requirements and project needs. Manage customer decision-making processes, identify key stakeholders, prioritize customer requirements, and drive project progress through successful implementation. Build and maintain long-term customer relationships while monitoring market trends, competitor activities, and industry developments. Develop

Build strategies. Shape change. Lead enterprise data transformation. The Role We are seeking a visionary Data Strategy & Advisory Leader at Managing Principal level to shape the future of data in financial services. You will lead the design, delivery, and scaling of enterprise-wide data strategies for tier-one banks, insurers, and investment firms — helping them unlock the value of their data and meet the demands of an ever-evolving regulatory and digital landscape. This is not just about advising — it’s about owning the transformation agenda : defining innovative propositions, leading complex consulting engagements, inspiring cross-disciplinary teams, and driving commercial growth. You’ll be at the forefront of modern data strategy, governance, analytics, and AI adoption, while mentoring the next generation of data leaders. What You’ll Do Design and operationalise enterprise data strategies that enable business transformation across banking, insurance, and investment sectors. Lead high-impact consulting engagements in data governance, literacy, quality, regulatory response, and analytics-driven decision-making. Shape new market propositions in data consulting, including the adoption of AI, advanced analytics, and cloud-based data platforms. Drive process modernisation — from business analysis to technical design, solution implementation, and long-term optimisation. Build trusted senior stakeholder relationships , influencing strategic decisions and securing follow-on mandates. Scale data capabilities across internal teams and client organisations, ensuring consistent, high-quality outcomes. Contribute to thought leadership , industry events, and internal innovation initiatives. What We’re Looking For 8+ years of senior-level consulting experience in financial services, with a strong data strategy and advisory focus. Proven expertise across the full data lifecycle , supported by frameworks such as DAMA DMBOK, DCAM, or CDMC. Deep understandin

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Strong SQL and Python skills Data modelling experience (dimensional, relational, or similar) Experience building and maintaining backend systems Familiarity with Microsoft Azure Understanding of APIs, containers, and backend development best practices Implementing cloud-native data platforms Engineering scalable and reliable pipelines Good knowledge of distributed computing with Spark Understanding of cloud architecture principles and best practices Hands-on experience in designing, deploying, and managing cloud resources Agile ways of working Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: Experience with Snowflake, dbt, CubeJS Experience with Databricks, PySpark, ML workflows Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps). Frontend development experience (React, Next.js, TypeScript) Infrastructure-as-code (Terraform, CloudFormation) Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Get to Know the Sales Team Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” The Opportunity As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who are based in New York City for our hybrid working model. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You’ll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About Role: We are seeking an experienced L2 Network & Security Engineer to join our team. As an integral part of our network operations, you will play a crucial role in maintaining and securing our infrastructure. If you have a passion for networking, security, and troubleshooting, we’d love to hear from you! Job Location: Noida Responsibilities: Install and Support: Deploy and maintain LANs, WANs, and network segments. Support Coordination: Collaborate with equipment vendors for troubleshooting and configuration standardization. Firewall Management: Handle firewall configurations to ensure security and optimal performance. Switch Expertise: Maintain a strong understanding of LAN switching technologies, including VLANs, RSTP, ACLs, and Virtual Chassis. Capacity Planning: Recommend network capacity planning strategies. Proactive Maintenance: Plan and execute proactive maintenance for disaster recovery. Network Monitoring: Monitor networks for security, reliability, and availability. Key Skills Required: He/She/They should have 3-6 Yrs. of overall IT experience. Firewalls: Proficient in configuring, managing, and troubleshooting FortiGate and Palo-Alto firewall. Network Switches: Skilled in handling Cisco, Juniper, and Huawei switches. Wireless: Familiarity with Aruba, Cisco controllers and access points. Cloud Expertise: Experience with AWS and Zscaler Private Access. Network Protocols: Sound knowledge of various network protocols and ports. Security Technologies: Familiarity with IPSec, SSL VPN, IDS, and IPS. Additional Skills: Routing and Switching: Prior experience in routing and switching. Communication: S

The SalesOps Associate provides front-line support to our rapidly-growing sales organization, including answering inquiries, maintaining data health, performing research and working on tasks that enable Account Executives to take data driven decisions, and maintaining the health of our sales tools and systems. MongoDB’s SalesOps Associates are mentored and coached by highly-skilled Sales Operations leaders with shown track records. SalesOps Associates will gain practical, real-world sales operations experience, along with exposure to the best sales methodology in the industry. This experience provides an enviable foundation for your business career, whether you are passionate about a future in leadership or sales. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Shift Timings: 2:00 PM-10:00 PM (cabs will be provided) You will have the opportunity to Accelerate your career through exposure to the most effective sales methodology and through working side by side with the best sales professionals in the industry Get insights and experience first-hand how an effective, fast-paced organization operates through learning about marketing/sales processes, collaboration and tools Establish a strong network of peers and mentors Gain insight into a $45Bn technology industry that is rapidly transforming Responsibilities Data maintenance and cleanup initiatives such as Account Hierarchy, merging unnecessary accounts, contact movement and contact merging, cloud org movement etc Front-line/Tier-1 Support for Sales via the Sales Operations Case Queue, including initial triage of new Cases, fixing/resolving/responding to Cases as knowledge & experience allows, and raising cases to Salesforce.com Administrators or other teams like Deal Desk where appropriate Serve as an initial point of escalation from other Sales Support functions (Deal Desk, Commissions, Support Operations) where they need assistance from SalesOps Data updates, such a

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: Thriving on innovation, One97 delivers Customer Communication, Up-Selling, Mobile Content, Advertising based and Platform services to over 500 Million mobile consumers across the globe. Headquartered in New Delhi, and backed by marquee investors like Intel Capital, Elevation Capital, Silicon Valley Bank, SAP Ventures & Berkshire Hathaway, One97’s products and services are available on various models i.e. Capex, Opex & Revenue Share model as per the flexibility of Telco’s. Our Key Offerings are divided into 5 broad categories as follows: • Entertainment • Digital Platforms • CVM Solutions • Enterprise Services • Financial Platforms One97 has the widest and largest deployment of telecom applications on cloud platforms in India and has a myriad of VAS services that have helped operators augment their revenue even in complex markets like India, SAARC, Middle East, Africa and many more. Superpowers that will help you succeed in this role: - Bachelor's degree in engineering with stream Electronics & Telecommunications. Focus: Telco Services (IVR, USSD, SMS, Precall, Merchant IVR, M2M IVR Portal). Key Responsibilities:- *Assist in gathering basic business requirements for Telco services. *Support documentation of functional specifications and user stories. *Learn and contribute to the product life cycle of assigned services. *Monitor the performance and health of live Telco services. *Assist in the initial investigation of operational issues and incidents. *Support creation and maintenance of operational documentation. *Learn and utilize service monitoring tools and platforms. *Participate in testing o

About the Role The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together’s platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Responsibilities Design and build Together’s systems and infrastructure for model customization, including user-facing features and internal improvements Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response Create and improve internal tooling for deployment, continuous integration, and observability Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape Partner with teams developing internal services, co-designing these services and incorporating them in systems built wit