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

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.

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

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.

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.

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.

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

Other Requirements:

• Talented, intensely competitive operators and engineers

• Ability to move fast and give full autonomy for outcomes

• World-class individuals

• Ability to invent new data primitives and paradigms

Responsibilities:

• Build the data infrastructure that processes and maps how work actually happens across Fortune 500 organizations

• Work on problems that don't have established solutions

• Design novel data structures for representing work

• Build pipelines that process billions of events per day

• Write whitepapers on approaches that don't exist yet

Other Requirements:

• Operations leader to own and scale systems, processes, and infrastructure

• Equal parts strategist and executor

• Ability to understand product and engineering functions well enough to systemize their workflows

• Talented, intensely competitive operators

• Ability to move fast and give full autonomy for outcomes

Responsibilities:

• Own and scale the systems, processes, and infrastructure that enable our team to move at peak velocity

• Oversee business operations across finance, HR, recruiting, vendor management, legal coordination, and office operations

• Build the foundational systems that let a 6-person team scale to 100+ without breaking

• Automate workflows, optimize processes, and ensure cross-functional coordination

• Identify bottlenecks and build solutions, support financial planning and KPI tracking, and shape high-performance culture

Other Requirements:

• Deep technical understanding of our platform

• Enterprise sales expertise

• Ability to drive revenue growth and build strategic relationships with Fortune 500 customers

• Talented, intensely competitive operators

• Ability to move fast and give full autonomy for outcomes

Responsibilities:

• Drive revenue growth and build strategic relationships with Fortune 500 customers

• Combine deep technical understanding of our platform with enterprise sales expertise

• Run complex, multi-threaded sales cycles with various stakeholders

• Build executive relationships that close deals

• Own the full sales cycle—from prospecting and discovery to enterprise evaluations, pilots, and rollouts

Other Requirements:

• Talented, intensely competitive operators and engineers

• Ability to move fast and give full autonomy for outcomes

• World-class individuals

• Ability to architect and own entire security posture

Responsibilities:

• Architect and own our entire security posture as we handle the most sensitive enterprise data environments

• Build the security infrastructure that protects terabytes of workflow data per customer in real-time

• Implement controls across our full stack

• Ensure we meet Fortune 500 compliance requirements without slowing down engineering velocity

• Own security end-to-end—from infrastructure hardening and application security to SOC 2 compliance and customer security reviews

Other Requirements:

• Talented, intensely competitive operators and engineers

• Ability to move fast and give full autonomy for outcomes

• World-class individuals

Responsibilities:

• Build the product interface that Fortune 500 executives use to measure AI ROI

• Own major parts of our frontend and backend

• Build real-time dashboards that render billions of workflow events

• Design APIs for executive decision-making

• Create UI/UX for complex data visualization

Benefits:

• Flexible working hours (choose between 8 AM and 11 AM)

• Support for purchasing books or e-library access for growth

• Support for 1-on-1 costs among members

• Overtime meal/taxi fare support for late work

• Monthly snack allowance

Experience Requirements:

• Minimum 3 years of software development experience (or equivalent capability)

• Experience using backend languages like Golang, Python

• Understanding or experience with container orchestration like Docker, Kubernetes

• Development or operation experience in cloud environments (AWS, GCP, Azure, etc.)

Other Requirements:

• Interest and willingness to learn infrastructure technologies such as distributed systems, networks, storage

• Proactive problem-solving and excellent communication skills for smooth teamwork

Responsibilities:

• Development of VESSL Core MLOps backend components using Golang, Python, Kubernetes

• Research and application support for accelerator-based workload orchestration technology for GPU/NPU/TPU

• Implementation of storage/network optimization and distributed processing technology for large-scale AI training/inference environments

• Contribution to the development of scalable MLOps architecture in cloud and on-premise environments

• Establishment of log/metric collection and monitoring systems and improvement of operations

Benefits:

• Flexible working hours (choose between 8 AM and 11 AM)

• Support for purchasing books or e-library access for growth

• Support for 1-on-1 costs among members

• Overtime meal/taxi fare support for late work

• Monthly snack allowance

Experience Requirements:

• Minimum 5 years of software development experience

• Experience with large-scale distributed systems or infrastructure architecture

• Deep understanding and practical experience with backend languages like Golang, Python

• Experience with container orchestration like Docker, Kubernetes

• Experience operating multi-node HPC workloads like Spark, Slurm, Ray

Other Requirements:

• Ability to solve complex engineering problems and strong communication skills

• Project leadership and collaboration experience

• Experience proactively managing B2B software development systems, including customer technical support and documentation

Responsibilities:

• Design and development of VESSL Core MLOps backend components using Golang, Python, Kubernetes

• Development of accelerator-based workload orchestration technology for GPU/NPU/TPU

• Optimization of storage/network and application of distributed processing technology for large-scale AI training/inference environments

• Building scalable MLOps architecture in cloud and on-premise environments

• Development of log/metric collection and monitoring systems for stable distributed environment operation