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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization The Core Infrastructure organization operates the foundational systems that power Stripe globally — including databases (MongoDB, PostgreSQL), high availability and disaster recovery (HADR), AWS cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, and network edge infrastructure. Within Core Infra, the Regional Enablement Platform (REP) team helps Stripe launch and operate new regions without learning about broken dependencies from users. REP builds the regionalization, validation, deploy-safety, and operator tooling needed to answer practical launch-readiness questions: can critical payment paths run from the new region, which services still depend on a remote control plane, what breaks under packet loss or failover, and what must be fixed before deploys, launches, traffic shifts, or failovers proceed. The team uses traffic replay, synthetics, failover drills, dependency analysis, CI/CD gates, and incident data to turn those findings into platform fixes, service-owner asks, and reusable readiness checks across networking, HADR, and service teams. This role is based in Bangalore and serves as a senior technical anchor for Core Infrastructure in India, with direct cross-region influence across AMER, EU, and APAC. What you'll do As a Staff Engineer on REP, you will play a key leadership role in enabling Stripe's infrastructure to power all of our products, globally and at scale. You will

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

We’re looking for a technical force multiplier to work directly with the founders at Bolna.ai . This is not a traditional Chief of Staff, PM, or engineering role. It sits at the intersection of strategy + product + engineering. Your job is simple: take messy, important problems, figure out what matters, and make things happen. What you’ll do Find and build ways to leverage AI internally to dramatically improve engineering velocity and company operations. Dive into product, business, growth, and engineering data to uncover insights and turn them into clear, actionable recommendations. Work across Engineering, Product, and Growth to supercharge teams, remove bottlenecks, and unlock leverage through technology. Pick up ambiguous, high-leverage problems and drive them end-to-end. One day could mean discovering and iterating on a new tool in the morning, building a prototype that afternoon, and shipping it by the end of the day. Who we’re looking for You have high agency and a founder’s mindset . You’re technically strong enough to build prototypes, deeply curious about how things work, and fast at learning unfamiliar domains. You have strong product and business intuition, can reason from messy data, and communicate clearly in writing. You’d rather skip a one-hour meeting to spend that hour chasing a curiosity that could create 10x the impact . You know that disproportionate outcomes often come from asking the question nobody assigned you to ask. You don’t wait for perfectly scoped tasks. Depending on the problem, you’re comfortable researching, coding, analyzing data, talking to customers, testing a product, or coordinating a team. Most importantly, you have good judgment about what is worth pursuing . If you’re an ex-technical founder or founding engineer , this role will likely feel familiar: high ambiguity, high ownership, and a bias toward figuring things out yourself. We operate with a simple belief: AI, when applied skillfully to the right problems, can create di

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. About the role We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role is based in Bangalore . In this role, you will: Strategic AWS Engagement & Influence Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high-priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. Complex Deal Leadership & Execution Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production deployment. Act as a technical d

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role can be based in Delhi, Mumbai, or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex’s consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and

Role Overview We are looking for a senior, externally-facing executive professional to build, scale, and manage jeweler partnerships for Paytm Gold, with a specific focus on enabling digital gold redemption at jewellery outlets. This role owns end-to-end jeweller relationships—from onboarding and commercial structuring to operational rollout and ongoing partner success. The role requires deep jewellery industry experience, strong stakeholder management, and the ability to work across legal, product, operations, and compliance teams to build scalable partnerships. Key Responsibilities • Own and manage strategic relationships with regional and national jewellery partners • Identify, onboard, and scale jeweller partners for Paytm Gold redemption • Act as the primary relationship owner for senior leadership at partner organisations • Drive end-to-end enablement of Paytm Gold redemption at jeweller outlets • Define redemption flows covering commercials, operations, settlements, reconciliation, and customer experience • Lead partnership discussions on commercials, incentives, revenue sharing, and operational SLAs • Work closely with legal and compliance teams to structure regulatorily sound partnership agreements • Act as the bridge between jewellers and internal teams including product, operations, finance, risk, and compliance • Manage escalations and resolve partner issues efficiently • Set up governance mechanisms for partner performance and periodic reviews • Build and own MIS dashboards tracking redemption volumes, partner-wise performance, and operational metrics • Track jewellery industry trends, competitor models, and regulatory developments and share insights with leadership Candidate Profile Experience • 10–16 years of experience (flexible for the right candidate) • Mandatory prior experience working with jewellers, jewellery retail chains, bullion firms, or gold trading businesses • Proven experience in partnerships, alliances, or business development roles

About Team : The Internal Audit team at Paytm comprises seasoned professionals with diverse skill sets and experience across different verticals like process audits, technology audits and forensics. The team focuses on implementing the approved audit plan, ensuring delivery of qualitative audits and conducting internal / special reviews while leveraging technology & data analytics and gauging key risks across business processes. Role Overview: The Assistant Manager (AM) is the engine room of the audit team. You will be on the ground, diving deep into data, testing controls, and identifying the "why" behind process gaps. This role is perfect for someone who loves detail and wants to understand the nuts and bolts of a digital economy. Key Responsibilities ● Execution: Conduct end-to-end audits of various functions (Operations, HR, Finance, or Tech) under the guidance of the Manager. ● Fieldwork: Perform walkthroughs, test of effectiveness ($ToE$), and document audit findings with clear "Cause and Effect" analysis. ● Cross-Functional Collaboration: Partner with cross-functional teams to gain deep insights into critical business processes, identify risks, and evaluate the adequacy of internal controls. ● Reporting: Prepare and present clear, concise audit reports to senior management and stakeholders, providing actionable recommendations to enhance controls and mitigate risks. ● Follow-ups: Track the implementation of previous audit recommendations to ensure business units are actually improving. ● Compliance: Ensure all audit activities align with the Internal Audit Manual and professional standards. Qualifications & Skills ● Experience: 2–6 years of post-qualification experience in Internal Audit. Experience in fintech, payments, banking, or NBFC preferred ● Education: Chartered Accountant (CA) / MBA. Certifications like CIA, CISA will be an added advantage. ● Technical Edge: Proficiency in MS Excel (Advanced), Powerpoint and fa

About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases.aytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: Evangelize and demonstrate the value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. The Credit Risk Analyst will be responsible for monitoring , analysing and optimising lending portfolios across consumer / merchant lending products. This includes overseeing portfolio health , developing / refining risk strategies and supporting business growth through risk adjusted decision making. Key Responsibilities : - Portfolio Monitoring & Analytics - Risk Strategy & Policy Design - Stress Testing & Risk Containment - Loss forecasting & scenario planning - Product & Growth Partnership - Collections Interface / Strategy - Compliance & Bureau Management Requirements: - 5 to 8 yrs in portfolio risk management function in Fintech/ Banks/ NBFC - Hands on experience in SQL, Python, R, Pyspark - Good understanding of Bureau data, Alternate Data, Scorecards, Digital Lending API's etc - Ability to translate data into clear insights and recommendations - Familiarity with BI tools like Tableau, Looker , Metabase etc - Understanding of machine learning models in credit risk - Strong problem solving and stakeholder management skills

Role: Manager Designation: Account Director – Client Experience Location: Mumbai Overview Current Global is a global communications agency that puts humanity at the heart of everything we do, from our internal culture rooted in empathy to the way we help clients understand that people want to connect with companies and brands as real and human as they are. We say we’re the human-first agency. We turned 5 this year and have lots to be proud of. We’ve consistently outperformed the PR market, are one of the fastest-growing mid-sized agency brands globally, a top 60 firm by revenue , and last year (2023) was our most award-winning year ever. Part of IPG and a member of The Weber Shandwick Collective, we’ve got offices in Asia, Europe, MENAT, North and South America. We boast a client roster including some of the world’s most recognised company names in technology, fashion, digital, healthcare , and medtech. How are we different? The size, speed and agility of a boutique client experience backed by the resources of one of the industry’s leading communications networks. Our vision has never been about being the biggest, or even the fastest - g