Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch.

Education Requirements:

• A degree in Computer Science, Electrical Engineering, or a related field.

Other Requirements:

• Proficiency in both front-end and back-end programming languages such as TypeScript, HTML, Go, and Python.

• Strong experience building custom data visualizations and interactive user interfaces.

• Hands-on experience with front-end frameworks (e.g., Vue, React, or similar) and visualization libraries such as D3.js or SVG-based tools.

• Excellent debugging, problem-solving, and collaboration skills.

• Strong communication and attention to detail.

Responsibilities:

• Work in a fast-paced environment that values innovation, diversity of talent, and technical excellence.

• Collaborate closely with Clockwork engineering teams to design, prototype, and implement end-to-end web applications and interactive visualizations that simplify complex data for network engineers and enterprise clients.

• Develop front-end interfaces using modern frameworks and back-end services that ensure performance, reliability, and scalability.

• Write clean, efficient, and maintainable code across multiple languages and layers of the stack.

• Continuously improve platform performance, usability, and design by staying current with modern technologies and development practices.

Education Requirements:

• B.Sc. or equivalent experience in Computer Science and Engineering

Experience Requirements:

• 5+ years of hands-on experience in data science - must

Other Requirements:

• Expert-level proficiency in Python and its data manipulation and analysis libraries (e.g., NumPy, pandas, TensorFlow, PyTorch)

• Strong background in networking concepts and protocols – Significant advantage

• Proven experience in production-level software development, with a portfolio of deploying complex models and systems

• Ability to lead technical projects, balance multiple priorities, and meet tight deadlines

• Familiarity with network protocols, hardware, and infrastructure - Significant advantage

• Exude high energy and a positive attitude

• Stellar verbal and written communication skills

• Passionate about data science and implementation

• Have data science and GPU performance experience

• Want to make what was impossible possible!

Responsibilities:

• We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them

• Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy

• Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems

• Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership

• Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams

Education Requirements:

• BSc or MSc or equivalent experience in electrical engineering

Other Requirements:

• Deep understanding of how to build and integrate systems with various technology components

• Knowledge and understanding of computing and networking systems

• A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment

• Utmost passion for attention to details in design and a high focus on design quality

• Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking

Responsibilities:

• Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech

• Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

• Work on proof of concepts and advance development projects

• Perform research and analysis for current and future architectures

• Craft product design specifications

Education Requirements:

• MS in Electrical or Computer Engineering (or equivalent experience)

Experience Requirements:

• Minimum 5 years experience in Physical Design Engineering

Other Requirements:

• Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification

• Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence

• Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management

• You'll need to have expertise and in-depth knowledge of industry standard EDA tools

• Proficiency in programming and scripting languages, such as, Perl, Python, and C++

Responsibilities:

• Developing physical design methodologies for implementation of graphics processors and SOCs

• Key responsibility includes developing unique and creative solutions to the state of the art physical design problems that are needed for NVIDIA chips

• Participate in developing flow and tool methodologies for chip floorplan, power and clock distribution, chip assembly and P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Competitive compensation and performance bonus scheme

• Employee enablement, global team, trust and recognition culture

• Comprehensive health plans, flexible work, generous paid leaves

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• Degree in Computer Science or experience as an engineer preferred

Experience Requirements:

• 4+ years of proven experience as a Product Manager or Product Lead in a fast-paced, tech-driven environment, preferably delivered customer-facing AI technology or financial service products.

• Familiarity with AI, machine learning, and/or financial services is highly desirable.

Other Requirements:

• Strategic Thinking: Demonstrated ability to think creatively, innovate, and challenge the status quo to develop unique, differentiated products.

• Cross-Functional Leadership: Excellent communication, collaboration, and influencing skills across diverse teams.

• Analytical Skills: Strong analytical and problem-solving abilities with a data-driven approach to decision-making.

• Adaptability: Ability to manage multiple priorities, pivot quickly, and thrive in a dynamic startup environment.

Responsibilities:

• Oversee the product development lifecycle from concept to release, ensuring alignment with Casca’s strategic goals.

• Define clear product roadmaps based on stakeholder input and user feedback.

• Drive product development with subject matter experts and designer partners.

• Champion user-centric design by ensuring products are intuitive, user-friendly, and meet the highest quality standards.

• Drive the product vision and strategy by thinking outside the box to deliver AI-native solutions that set new industry standards.

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 3+ years of management consulting experience at a leading firm (McKinsey, Bain, BCG, etc.) or strategic roles at high-growth tech companies

• Proven ability to structure complex operational challenges, build scalable processes, and drive execution in fast-paced startup environments

• Experience managing internal operations, team coordination, or chief of staff responsibilities at high-growth companies

• Background in fintech, banking, or lending industry

Other Requirements:

• Strong analytical skills with ability to work across both quantitative analysis and qualitative strategic thinking

• Exceptional communication skills and ability to coordinate across all levels of the organization, from individual contributors to executive leadership

• Previous founder's office, chief of staff, or CEO assistant experience at a scaling startup

• Experience building internal operations during rapid team growth (30+ to 200+ employees)

Responsibilities:

• Manage CEO priorities and special projects, ensuring critical initiatives stay on track while maintaining focus on core business objectives

• Drive cross-functional alignment and communication, breaking down silos between teams and ensuring everyone is working toward shared goals

• Own internal operations spanning executive team coordination and strategic planning processes

• Partner directly with the CEO on critical operational initiatives including team scaling and process optimization

• Lead internal projects that drive operational excellence, from implementing new systems to streamlining workflows across all teams

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Experience Requirements:

• 5+ years of software development experience, particularly in scalable backend and infrastructure systems (e.g., Rust, Node.js, Python, or Go), and modern deployment technologies like Docker, Kubernetes, and Helm.

• Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services for compute, storage, and networking.

• Proficiency in infrastructure as code tools (e.g., AWS CDK, Terraform, Pulumi) and CI/CD automation (e.g., GitHub Actions, Jenkins).

• Experience with building observability tooling including metrics collection, distributed tracing, logging systems, and monitoring dashboards.

• Experience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioning.

Other Requirements:

• Proven ability to mentor and guide technical teams.

Responsibilities:

• Architect and enhance platform features including authentication, auditability, and enterprise integrations across the banking ecosystem.

• Build and maintain high-performance, developer-friendly infrastructure using containerization (Docker), orchestration (Kubernetes, Helm), and cloud-native services across AWS, Azure, and GCP.

• Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizations

• Develop and optimize infrastructure as code (AWS CDK, Terraform) and CI/CD pipelines to automate deployments, ensuring high availability, disaster recovery, and efficient resource utilization.

• Collaborate with AI engineers to benchmark & integrate models into the core platform.

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 4+ years of experience in software engineering

• Proven track record of translating complex technical concepts into clear business value propositions with measurable outcomes

• Entrepreneurial mindset with experience driving initiatives from concept to execution

• Solid understanding of modern programming languages and (AI) frameworks (e.g., Python, LangChain, Vercel AI-SDK, React, TypeScript, Next.js, etc.)

Other Requirements:

• A skillset at the intersection of software development, business strategy and customer engagement

• Strong problem-solving skills and a knack for innovative thinking

• Excellent communication skills and a collaborative team spirit

Responsibilities:

• Partner directly with customers to translate critical business requirements into technical solutions, engaging with customer executives to architect software that addresses their most pressing challenges in banking

• Drive high-stakes projects with CTO-level ownership, writing production-quality code while balancing multiple technical and business priorities across architecture, coding, and strategic planning

• Architect and build end-to-end systems integrating AI models, backend APIs, and web applications while owning complete technical solutions from design through production deployment

• Learn and drive engineering best practices

Benefits:

• Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.

• Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.

• Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.

• Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.

• Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.

Experience Requirements:

• 5+ years of experience in client-facing solution architecture, technical consulting, technical product management or implementation roles

• Deep understanding of cloud-native architectures and APIs (RESTful services, authentication standards, etc.)

• Proven experience integrating SaaS or AI-driven platforms into complex enterprise environments

• Familiarity with data pipelines, ETL tools, and financial systems integration

• Prior experience in fintech, banking, or highly regulated industries is a strong plus

Other Requirements:

• Skilled in navigating technical discussions with both engineers and executives

• Strong problem-solving mindset with an ability to manage multiple priorities in a fast-paced environment

• Excellent written and verbal communication skills

• Proficiency in one or more programming languages (NextJS, Typescript preferred)

• Hands-on experience with compliance-sensitive implementations (e.g., KYC/AML, credit decisioning workflows)

Responsibilities:

• Lead post-sales technical implementation for our AI-powered lending platform with major U.S. financial institutions

• Translate complex client needs into scalable, secure, and high-performance architectures

• Collaborate cross-functionally with Engineering, Product, and Risk to deliver seamless integrations

• Guide clients through API integrations, data mapping, and custom configurations

• Be the trusted technical advisor for clients, ensuring long-term success and satisfaction

Experience Requirements:

• 5–7 years of experience in Business Systems, Revenue Operations, or Business Applications roles (startup or scale-up experience preferred)

• Strong analytical skills with the ability to analyze ROI, create case studies, and translate data into actionable insights

• Proven track record managing end-to-end systems implementations and cross-functional projects

• Strong, hands-on experience with Salesforce, HubSpot, Intercom, Zendesk, and BI tools (Quicksight/Tableau)

• Experience with integration tools and understanding of APIs

Other Requirements:

• Excellent project management skills: able to juggle multiple projects and stakeholders with clear communication

• Strong interpersonal and leadership skills; able to influence across teams

• Comfortable working independently in a fast-paced, resource-constrained startup environment

• Proactive, self-starter with an ownership-driven mindset

Responsibilities:

• Implement, configure, and maintain core business platforms: CRM (Salesforce), CS tools (Intercom/Zendesk), BI (Quicksight/Tableau), and others

• Serve as system administrator: manage configuration, user roles, workflows, and integrations

• Build and maintain dashboards and recurring reports for leadership and GTM teams

• Track and analyze key metrics: pipeline, revenue, churn/retention, customer health, support SLAs, and financial KPIs

• Lead end-to-end business application projects: from scoping and requirements gathering to implementation, testing, and adoption

Education Requirements:

• Degree from SP Jain / NITIE equivalent.

Experience Requirements:

• 6+ years SCM / Logistics experience

• 1-2 years Consulting experience

• 5+ IT Implementation experience for enterprise clients preferable in USA / European markets

• 3+ years of industry expertise with direct experience in enterprise SaaS products

• Must have completed SCM product solution roll-outs

Other Requirements:

• Senior Client stakeholder management is key

• Good interpersonal, presentation and communication skills

• Strong client management skills

• Analytical skills and creative problem-solving capabilities

• Having USA visa is a huge plus

• Experience in Manufacturing, Retail, CPG, and/or Life Science preferred

Responsibilities:

• Engage early in the sales cycle to provide delivery plans, highlight delivery differentiators, and communicate with clients to build confidence in achieving their objectives.

• Function as the business and industry expert for transformational projects/programs aligned to a single solution.

• Engage with supply chain executives and teams to understand company-specific objectives.

• Map customer challenges to specific end-to-end solution enablers and design solution recommendations to address these challenges.

• Estimate effort for task-level implementation activities within project scope and recommend appropriate roles for execution.

Experience Requirements:

• Proven experience working in SaaS environments with a deep understanding of integration technologies and best practices

• Experience from Supply Chain or Logistics domain

• Experience and knowledge of Supply Chain would be an added advantage

Other Requirements:

• Exhibit excellent attention to detail, quality, and compliance

• Succeed in a dynamic, changing environment, rapidly assimilating and applying new information

• Ability to drive technical decisions and provide strategic guidance

• Strong problem-solving, troubleshooting, and analytical skills

• Excellent communication, presentation, and leadership skills

Responsibilities:

• Define and execute the overall integration strategy for the company’s SaaS products.

• Lead the development of integration roadmaps, ensuring alignment with business goals and technical requirements.

• Collaborate with key stakeholders (Product, Engineering, Sales, and Customer Success) to identify integration opportunities that enhance customer experience and business value.

• Lead, and mentor a high-performing integration team that supports technical integration, API management, and related activities.

• Foster a collaborative environment, ensuring the team’s success in achieving both technical and business objectives.

Experience Requirements:

• Over 4 years of experience in Enterprise SaaS products

• Must have experience of freight Procurement

• Hands-on experience in successfully delivering multiple projects

• Experienced in mentoring and guiding teams to achieve success

Other Requirements:

• Proficient in project management fundamentals, including planning, tracking, stakeholder management, risk mitigation, and scope management

• Highly adaptable to new processes and organizational changes

• Skilled in executing playbooks and challenging the status quo to drive improvements

• Strong client management abilities with excellent interpersonal, presentation, and communication skills

• Advanced analytical skills paired with creative problem-solving capabilities

Responsibilities:

• Function as the business and industry expert for transformational projects/programs aligned to a single solution.

• Engage with supply chain executives and teams to understand company-specific objectives.

• Map customer challenges to specific end-to-end solution enablers and design Solution recommendations to address these challenges.

• Clearly articulate and present the business impact of recommended solutions, developing a deployment roadmap and establishing baselines to demonstrate qualitative and quantitative value.

• Track onboarding-related metrics, such as time-to-go-live, customer satisfaction, & expansion during onboarding.

Experience Requirements:

• 1–2 years of experience in product marketing, marketing communications, or a related role (ideally in B2B SaaS)

Other Requirements:

• Strong written and verbal communication skills with attention to detail

• Proven ability to collaborate across teams and manage internal and external relationships effectively.

Responsibilities:

• Create high-impact marketing and sales materials (e.g. product decks, brochures, case studies, battle cards).

• Collaborate with sales, product, and customer success teams to align messaging with real customer needs and market insights.

• Manage multiple projects and coordinate with external partners to ensure timely, high-quality delivery.

• Design visually engaging, on-brand content using tools like Canva, PowerPoint, and Google Slides.

• Support go-to-market initiatives with launch kits and sales enablement assets.

Education Requirements:

• MBA in Operations

Experience Requirements:

• 6–8 years of experience in Customer Success, Consulting, or Account Management roles

• Prior experience with enterprise SaaS products (CSM experience preferred)

Other Requirements:

• Supply chain, logistics, or transportation domain experience is a must

• Strong consulting background with an analytical and problem-solving mindset

• Exceptional communication and relationship-building skills

• Comfortable with data analysis, dashboards, and customer health metrics

• Ability to manage multiple accounts and prioritize tasks effectively

Responsibilities:

• Proactively quantify and report business value delivered, including savings, efficiency gains, and service improvements

• Use product usage data to identify adoption gaps and optimize value delivery

• Own customer relationships across operational and executive levels

• Create and execute success plans tied to customer goals and KPIs

• Conduct regular business reviews, product roadmap discussions, and training sessions

Benefits:

• Career growth

• Passion for favorite work

• Responsibility

• Horizontal management: fast and effective decision-making

• High-class team

Education Requirements:

• Higher education

Experience Requirements:

• Work experience from 1 year

Other Requirements:

• Knowledge of Python language and ML and data analysis libraries (Scikit-learn, Pandas, Matplotlib, Numpy, Scipy, Sklearn)

• Practical experience applying basic NLP models (ngrams, skip-grams, td-idf, etc.)

• Experience applying GloVe, ELMo, RNN, CNN, Transformer, BERT

• Knowledge of one of the Deep Learning frameworks: Tensorflow, PyTorch

• Confident user of OS Linux/Unix

• Experience with virtualization technologies (Docker, etc.)

• Experience with Git

• Experience with SQL database management systems

• Application of distributed NoSQL storage systems (MongoDB, Tarantool, Neo4J, etc.)

Responsibilities:

• Participation in the full cycle of commercial product development based on NLP technologies

• Task setting and creation of project specifications

• Data preprocessing and preparation

• Creation of software products and services

• Project integration work for the client

Benefits:

• Unlimited leaves

• Life Insurance & Private Health insurance paid by Sahaj

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• At least 8+ years experience as a Software Engineer.

• Deep understanding of programming fundamentals and expertise with at least one programming language (functional or object-oriented).

• A nuanced and rich understanding of code quality, maintainability and practices like Test Driven Development.

• Experience with one or more source control and build toolchains.

• Working knowledge of CI/CD will be an added advantage.

Other Requirements:

• Understanding of web APIs, contracts and communication protocols.

• Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms.

• A maker’s mindset – To be resourceful and have the ability to do things that have no instructions.

Responsibilities:

• Remain fully hands-on and write high-quality, production-ready code that enables smooth deployment of solutions.

• Lead architecture and design decisions, ensuring adherence to best practices in technology choices and system design.

• Utilize DevOps tools and practices to automate and streamline the build and deployment processes.

• Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems.

• Develop frameworks and tools for efficient data ingestion from diverse and complex sources.

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Education Requirements:

• PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent.

Experience Requirements:

• Should have experience with a proven track record in client interaction, can collaborate with engineering and business teams and is good at formulation, solving and deploying Data Science models.

• conversant with at least 2 or more of the above areas

• conversant with deep learning and conventional machine learning methods

• expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries.

Other Requirements:

• requisite theoretical strength

Responsibilities:

• help solve client problems

• conversant with end-to-end data science model life cycle, metrics, and deployment challenges

• conceptualizing, formulating, coding and deploying the solutions to the problem

• conversant with interacting with the clients and be able to make sense of ambiguous problem statements

• building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models