Lead Implementation Services Project Manager in India

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

Role Overview We are seeking a highly experienced, data-driven Fraud Risk Management professional to lead our fraud detection, investigation, and regulatory compliance frameworks. In this role, you will be responsible for safeguarding our digital payments ecosystem (including UPI, IMPS, Wallets, and Merchant platforms) by engineering advanced risk rules, optimizing machine learning models, and leading high-performing operational teams. You will also act as a primary liaison with key regulatory bodies (RBI, NPCI) and Law Enforcement Agencies (LEAs) to ensure ironclad compliance and proactive risk mitigation. Key Responsibilities 1. Regulatory Compliance & Governance  Implement Circulars: Spearhead the end-to-end implementation of all fraud risk-related circulars and compliance mandates from the RBI, NPCI, and FIU.  Regulatory Confirmation: Own and ensure the timely, accurate submission of critical regulatory implementations on the PCOMP portal.  Stakeholder Liaison: Serve as the primary point of contact for ad-hoc risk inquiries from regulatory bodies and Law Enforcement Agencies (LEA).  Executive Reporting: Prepare and present advanced data analysis and high-level risk reports for Board-level forums, including the Risk Management Committee (RMC). 2. Risk Rule Engineering & Advanced Analytics  Rule Development: Codify, test, and deploy hundreds of high-impact risk rules (velocity, blacklists, compliance) using Python and SQL to counter emerging fraud vectors.  Data Analysis: Query and analyze large-scale transactional and profile data to identify patterns, build automated daily alert reports, and perform Root Cause Analysis (RCA).  ML Model Optimization: Partner cross-functionally with Tech and Data Science teams to refine and optimize Machine Learning/AI-driven risk models to boost detection efficiency and reduce false positives. 3. Fraud Investigations & Operations  Investigations: Lead end-to-end investigations into sophisticated digital payme

Principal NetSuite Consultant | Non-Profit As a Principal NetSuite Consultant at Plative, you will be the senior functional authority for our nonprofit customer portfolio, including community foundations, food banks, and First Nations organizations. You will lead complex ERP transformations end to end, from executive discovery through go-live, and mentor consultants across the team. You will advise customer stakeholders on nonprofit finance and program processes, and partner with sales on pre-sales scoping and solution architecture. Key Responsibilities Lead executive-level discovery sessions and map fund accounting, grant management, and donor management requirements to recommended NetSuite configurations. Own the full project lifecycle for complex NetSuite implementations: solution design, configuration, and go-live readiness. Act as the senior subject matter expert for nonprofit finance: fund accounting, grant budgeting and reporting, restricted/unrestricted revenue, and multi-funder allocations. Guide program and grant workflows specific to community foundations, food banks, and First Nations/Indigenous organizations. Mentor senior consultants and analysts, and review their solution designs and configuration work across the portfolio. Partner with sales and account teams on pre-sales scoping, technical discovery, and SOW development. Identify project risks and technical constraints early, and work with delivery leadership to resolve them. Maintain executive-level customer relationships, and identify opportunities for platform optimization and expansion. Build reusable delivery assets, including blueprints and templates, for nonprofit engagements. Basic Qualifications 7+ years of experience implementing and configuring NetSuite ERP, with a focus on Nonprofit organizations, at least one full cycle implementation of NFP organization. Strong expertise in fund accounting, grant management, and restricted/unrestricted revenue recognition. Deep understanding of nonprof

Senior NetSuite Consultant | Non-Profit As a Senior NetSuite Consultant at Plative, you will advise and implement NetSuite solutions for our nonprofit customers, including community foundations, food banks, and First Nations organizations. You will use deep knowledge of NetSuite's nonprofit capabilities and common sector integrations to guide customers through discovery, design, and delivery. Plative moves fast, so you will work on multiple projects at once, from inception to completion. Responsibilities Lead discovery sessions to map fund accounting, grant management, and donor management requirements to NetSuite configurations. Manage and deliver complex NetSuite implementation projects, including solution design and project management. Configure restricted and unrestricted fund tracking, grant budgeting, and revenue recognition for donations and grants. Guide customers through NetSuite for Nonprofits setup and leading sector practices. Delegate tasks to analysts and guide their work to ensure high-quality deliverables. Flag project limitations and issues early, and work with senior consultants and architects to resolve them. Prepare design documentation and present configuration recommendations to customers. Communicate delivery risks, including budget, schedule, and scope, to project managers and lead consultants. Guide testing approaches for internal QA and customer UAT. Advise customers on leading practices for board and funder reporting. Basic Qualifications Bachelor's degree in a relevant field, or equivalent experience. 5+ years of experience implementing NetSuite, with a focus on Nonprofit organizations and at least one full cycle implementation with a Nonprofit. Strong understanding of fund accounting, grant management, and restricted/unrestricted fund tracking. Strong communication and presentation skills for working with customers and team members. Ability to work independently and as part of a team. Proficient in spreadsheet-level data transformations.

The Regional Safety Head is responsible for deploying and overseeing the EHS (Environmental, Health, and Safety) strategy across projects within a specified region. This role involves collaborating with the Business EHS function to evolve the Annual Strategic Action Plan (STRAP), developing EHS goals, and ensuring the implementation of EHS initiatives. The Lead - Regional EHS will manage the planning and acquisition of EHS resources, guide internal and external stakeholders, and ensure compliance with safety protocols across projects and contractors. Source: Adani Group | Job ID: 58787

Position Overview: We are looking for a Senior Software Engineer to drive technical excellence, architect complex systems, and elevate our engineering team. You will own critical technical decisions, lead major initiatives from conception to delivery, and set the standard for engineering quality across our products. As a senior engineer, you will architect and lead the development of sophisticated AI-enabled features and infrastructure. This includes designing MCP server architectures, building advanced RAG systems, implementing agentic AI workflows, and establishing patterns that scale across our product portfolio. You will combine deep technical expertise in both traditional software engineering and AI/ML to deliver production-grade solutions. What You'll Do Lead the design and implementation of AI integration infrastructure (MCP servers, orchestration layers, API gateways) Build sophisticated AI features including advanced RAG systems, agentic workflows, and multi-step reasoning Establish AI engineering best practices, security patterns, and quality standards Lead technical initiatives from requirements through production deployment Make critical architectural decisions balancing performance, scalability, cost, and maintainability Design AI evaluation frameworks and implement quality benchmarks Debug and resolve complex production issues across traditional and AI systems Required Qualifications Tech Stack Core: Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, Docker AI & Integration: Python, MCP, AWS Bedrock, LangGraph/Semantic Kernel, Vector Databases, RAG Core Technical Skills 5+ years professional development with proven track record of delivering complex systems Strong Node.js and JavaScript/TypeScript expertise Advanced React and frontend architecture skills Extensive AWS architecture experience Expert PostgreSQL database design, optimization, and performance tuning Deep understanding of microservices, distributed systems, and

About the role (Remote) We're hiring a Senior Product Designer to join our global UX team. You'll own design within your product cluster — working directly with the engineers and PMs in those areas to define problems, shape solutions, and ship work that holds up. This is an end-to-end role. You lead discovery, define the interaction model, produce specs, and stay close through implementation. You're also expected to contribute to the systems and standards the whole team relies on. The Senior Product Designer will report to our Product Design Manager, and will work with our EU, UK and US based designers. You're part of a distributed team, so async clarity and proactive communication are as important as craft. What you’ll do Lead the design of complex AI-powered interactions in your product cluster, accounting for trust, transparency, fallback states, and human-in-the-loop considerations Embrace the use of modern AI-based tools like Claude, Figma Make, Cursor, Vercel, Loveable or equivalent not as theatre, but as a meaningful multiplier to your workflow. Partner with our UX research team to lead interviews, usability tests, and competitive analysis and translate findings into clear product direction and guidance Develop presentations, wireframes, mockups, and prototypes that effectively communicate interaction and design intent across web and mobile surfaces. Partner with PMs to shape requirements and with engineers to protect design intent through delivery Contribute to Showpad's design systems — adding components, documenting patterns, raising consistency across product areas Communicate design rationale through strategic storytelling: you can walk a PM, an engineer, and a senior stakeholder through the same decision and each one gets what they need Establish scalable AI-assisted workflows for your own work — research synthesis, rapid prototyping, concept generation — and help others on the team use them effectively Deliver UX solutions that measurably improve

As a Senior NetSuite Consultant at Plative, you will be advising and implementing NetSuite solutions to our portfolio of customers. Candidates for this role should possess a deep knowledge of NetSuite's capabilities in the Retail & Wholesale Distribution space and high-level knowledge of common industry-specific integrations. You will act as a knowledgeable advisor to customers, uncover business requirements, and configure effective solutions that address the customer's requirements. Plative is a fast-paced, agile environment, so you will be involved from project inception to completion and will work on multiple projects at the same time. Responsibilities: Manage and deliver basic to complex NetSuite implementation projects, including solution design and project management. Facilitate and lead customer discovery meetings, identifying opportunities beyond the initial scope and tracking findings in the project backlog. Delegate tasks to analysts and guide their work to ensure high-quality deliverables. Flag project limitations and issues early, and work with senior consultants and architects to address them. Prepare design documentation and present configuration and design recommendations to customers. Raise design risks, constraints, and critical dependencies to senior consultants and architects, and work together to resolve them. Communicate delivery risks, including budget, schedule, and scope, to project managers and lead consultants. Guide testing approaches for internal QA and customer UAT. Handle core configuration tasks, including complex business logic. Advise customers on leading practices and make configuration and design recommendations. Serve as the expert business process owner for core processes. Basic Qualifications: Bachelor's degree in a relevant field, or equivalent experience. 5+ years of experience implementing NetSuite within the Products industry. Strong understanding of NetSuite core configuration, including complex business logic. Knowledg

The Regional Safety Head is responsible for deploying and overseeing the EHS (Environmental, Health, and Safety) strategy across projects within a specified region. This role involves collaborating with the Business EHS function to evolve the Annual Strategic Action Plan (STRAP), developing EHS goals, and ensuring the implementation of EHS initiatives. The Lead - Regional EHS will manage the planning and acquisition of EHS resources, guide internal and external stakeholders, and ensure compliance with safety protocols across projects and contractors. Source: Adani Group | Job ID: 56402

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

Here’s a summary of the role: Love helping customers succeed? Thrive in fast-paced, client-facing environments where no two projects are the same? As an Onboarding Specialist , you’ll play a critical role in shaping the early customer journey—guiding clients from implementation through adoption and ensuring they realize value quickly. If you’re someone who enjoys project coordination, delivering impactful client training, managing multiple stakeholders, and building strong customer relationships, this could be your next great move. This is an opportunity to work with clients, senior stakeholders, and global teams while becoming a trusted advisor during one of the most important phases of the customer lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Own and manage the end-to-end onboarding experience for assigned customers, ensuring a seamless transition from sale to adoption Lead onboarding projects by coordinating timelines, milestones, and internal stakeholders to deliver successful outcomes Deliver engaging product onboarding sessions and training to help customers quickly adopt and maximize value Configure customer environments and guide clients through setup and best-practice implementation Build trusted relationships with stakeholders including administrators, business leaders, and senior client contacts Partner cross-functionally with Customer Success, Product, Support, and Sales teams to resolve challenges and improve customer outcomes These are the essentials you’ll need to get an interview: 3–5 years of experience in customer onboarding, implementation, project coordination, or customer success Strong client-facing communication and presentation skills, with confidence engaging senior stakeholders Proven ability to independently manage multiple onboardin

Role: Engineering Manager – Communications Location: Remote Team size: 15 engineers (backend + frontend) Type: Full-time About the Role We’re looking for an Engineering Manager who thrives at the crossroads of leadership, hands-on engineering, and solving problems that don’t come with an instruction manual. You’ll lead a team of talented backend and frontend engineers who are building the bridges between systems that power the full customer journey for financial institutions. In this role, you won’t just be overseeing work, you’ll be rolling up your sleeves, writing and reviewing production code, guiding architecture decisions, and coaching engineers to deliver their best work. The systems you’ll help build will connect modern cloud APIs with decades-old banking platforms, bringing reliability and elegance to what often starts as messy complexity. Our integration platform touches everything—from communication stacks to core banking systems, lending and mortgage platforms, payment gateways, and AI Platform. Every integration is an opportunity to shape how our customers experience our products end-to-end. And because we take an AI-augmented approach to software development, you’ll be part of a team that uses AI tools to augment SDLC and write better code, automate testing, and ship faster without compromising quality. What You’ll Be Doing Lead by Example – Stay hands-on with coding, designing architectures and reviewing code while guiding the team toward engineering excellence. Own the Integration Layer – Architect and scale connections across diverse systems, from sleek modern APIs to finicky legacy protocols. Champion the Customer Experience – Partner with Product, Implementation, and customer teams to ensure integrations truly solve real-world challenges. Collaborate Without Boundaries – Work closely with other engineering leaders to ship features that feel seamless across products. Build for the Long Run – Keep systems observable, reliable, and perform

Key Responsibilities Enterprise Data Strategy & Client Engagement: Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives. Serve as a key technical advisor for clients, translating business requirements into innovative data solutions. Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles. Data Modeling, Design & Engineering: Design and optimize both logical and physical data models to support enterprise-wide systems. Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics. Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance. Technology Evaluation & Implementation: Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability. Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management. Team Leadership & Hands-On Management: Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects. Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues. Ensure project milestones are met through effective resource management and team coordination. Performance, Security & Best Practices: Optimize data storage, retrieval, and processing performance across various systems. Collaborate with security teams to enforce data governance, compliance, and privacy standards. Establish and promote best practices in data management, data engineering, and architecture design. Documentation & Reporting: Develop and maintain comprehensive documentation covering data architecture designs, data flows, integrati

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu