Operational Account Manager in India

We’re looking for an enthu HR Intern to join the People team at Bolna.ai . This is a hands-on opportunity for someone who wants to learn how People Operations works in a fast-growing startup - from supporting employees to helping run day-to-day HR and office operations. What you’ll do Support employee onboarding, documentation, and HR operations . Maintain employee records and ensure HR data stays accurate and organised. Support employee queries and coordinate with internal teams and vendors. Facilitate office operations, events, employee engagement activities, and day-to-day administrative tasks effectively. Coordinate with employees and external vendors to ensure smooth execution of HR and office requirements. Support the People team with day-to-day operational requirements as the organisation scales. Who we’re looking for 0–1 year of experience in HR, People Operations, or a related internship. Prior HR internship experience is a plus. Strong communication and organisational skills. Detail-oriented and comfortable handling multiple tasks. Proactive, dependable, and willing to take ownership. Comfortable working in a fast-paced startup environment . Someone who genuinely enjoys working with people and wants to build a career in HR. Why this role? You’ll get hands-on exposure to People Operations, employee experience, office operations, and HR processes while working closely with a growing team. Learn fast. Take ownership. Work with great people. Location: Udyog Vihar 3, Gurugram Working Days: Monday–Friday

About the Team OpenAI’s Industrial Compute organization is responsible for building and scaling the infrastructure that powers our most advanced AI systems. Through a combination of strategic partnerships and self-built campuses, we are developing data center infrastructure at unprecedented scale and speed. The Data Center Delivery organization works across design, construction, commissioning, operations, vendors, and equipment suppliers to turn infrastructure plans into operational capacity. As projects progress from construction through commissioning and turnover, maintaining accurate equipment information, asset records, schedules, and documentation is critical to ensuring infrastructure is ready to operate and maintain. About the Role We are seeking a Maintenance Analyst to support the build, commissioning, and turnover of large-scale data center infrastructure. This role sits within the build organization and serves as a key connection point between equipment vendors, construction teams, commissioning teams, and the systems used to manage physical infrastructure. The Maintenance Specialist will ensure vendor equipment information is accurately captured, validated, and assigned to the appropriate equipment records, logs, and asset tags as infrastructure is installed and commissioned. In addition to equipment and maintenance data management, this person will provide real-time coordination and scheduling support as construction and commissioning activities progress. This role is well suited for someone who is highly organized, comfortable working with technical equipment information, and able to operate effectively in a fast-moving field environment. Key Responsibilities Own the collection, validation, and entry of vendor equipment information into equipment logs, asset registers, tagging systems, and infrastructure management tools. Maintain accurate equipment records, including manufacturer information, model and serial numbers, location, system association, war

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. In

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through a combination of strategic partnerships and self-built campuses, we are scaling the compute, storage, and networking platforms that power frontier AI training and inference. The Scaling Analytics team builds the data and software systems that help Industrial Compute understand, plan, and operate infrastructure at global scale. We work across capacity, hardware, storage, infrastructure software, and operational systems to connect fragmented sources of infrastructure data and make that information reliable and usable for engineering and planning. As OpenAI's infrastructure footprint grows, CPU and storage data increasingly spans internal platforms, vendor systems, APIs, databases, object storage, capacity management systems, and operational tooling. Building reliable connections across these environments is critical to understanding available capacity, utilization, fleet state, and infrastructure growth. About the Role We are seeking a Data Engineer to build the data systems and integrations that connect OpenAI's CPU, storage, and supporting infrastructure platforms. This role sits at the intersection of data engineering and backend software engineering. Rather than focusing primarily on traditional analytical pipelines, you will build the software and integrations required to collect, normalize, and make infrastructure data available across a heterogeneous set of systems. CPU and storage data may originate from internal infrastructure platforms, vendor APIs, databases, object storage, capacity systems, and operational services. You will determine how to reliably connect these systems and where those integrations should live—whether within an existing infrastructure service, an orchestration framework, a scheduled workload, or a purpose-built application. You will work closely with Infrastructure Engineering, Capacity Engineering, Storage,

About the Team OpenAI’s Real Estate & Workplace (REW) team creates and operates the spaces, programs, and services that enable employees to do their best work. The team’s work spans real estate, workplace operations, design and construction, workplace experience, food programs, employee services, analytics, and global programs. As OpenAI’s presence in India grows, REW is building flexible, scalable, AI-native, people-centered workplaces that combine a consistent employee experience with strong operational and financial discipline and thoughtful adaptation to each location. Workplace & Location The location for this role is Mumbai . The role requires to be onsite 5 days per week, with regular travel among Mumbai, New Delhi, and Bangalore. About the Role We are looking for an experienced Senior Workplace Operations Manager to set the operational direction, define the workplace operating model, and lead workplace operations and employee experience across OpenAI’s locations in India, including but not limited to Mumbai, New Delhi, and Bangalore. This hands-on, country-level role combines strategic planning, senior stakeholder partnership, and day-to-day execution in a fast-changing environment. As OpenAI’s senior workplace operations owner in India, you will translate business and employee needs into a scalable, AI-native operating model and define the standards, priorities, and service outcomes that support the country’s growth. You will remain accountable for delivery through integrated facilities-management partners, contractors, and specialist vendors, while partnering closely with India business leaders, regional REW leadership, and colleagues across REW, Workplace Experience, Leasing, Design & Construction, Food, Corporate Security, IT, Finance, People, and Procurement. This is a senior individual-contributor role reporting to the Head of Workplace, JAPAC. You’ll be responsible for: Set and own the country-wide workplace operating model, service qualit

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. In partnership with leading cloud providers, hardware manufacturers, utilities, construction partners, and internal engineering organizations, we are delivering hyperscale AI campuses that power the next generation of frontier AI models. Infrastructure Delivery Operations sits at the center of this effort. The team ensures that large, highly complex infrastructure programs execute predictably across planning, design, construction, hardware deployment, commissioning, and operational handoff. We partner across Hardware Engineering, Network Engineering, Capacity Delivery, Hardware Operations, Security, Finance, Supply Chain, and our external infrastructure partners to keep programs aligned, risks visible, and execution moving at Industrial Compute speed. About the Role We are seeking a Technical Program Manager, Infrastructure Delivery Operations to drive execution across large-scale AI infrastructure deployments. This role is responsible for orchestrating cross-functional delivery programs spanning multiple organizations, ensuring dependencies remain synchronized from early planning through production readiness. You will develop operational mechanisms that allow Industrial Compute to scale infrastructure delivery across multiple campuses simultaneously. Rather than owning any individual engineering discipline, you will own program health—bringing together engineering, construction, operations, supply chain, and partner organizations into a single coordinated execution model. Success in this role requires exceptional program management, executive communication, systems thinking, and operational rigor. You should be comfortable operating amid ambiguity while bringing structure to highly technical, multi-year infrastructure programs. Candidates should have experience leading complex infrastructure, cloud, data center, semiconductor, networking, manuf

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This role will own accounting and controllership for OpenAI's advertising products. You will help build the financial foundation for Ads from early scale into durable operations, including revenue recognition, close, controls, reporting, reconciliations, and risk assessment across measurement logic, billing data, rev-share structures, incentives, credits, and emerging monetization models. You will be a finance partner to Product, Engineering, Technical Accounting, Go-To-Market, Tax, Legal, and Financial Systems. The role requires someone who can independently operate in ambiguity, design 0-to-1 processes and apply AI automation thoughtfully to support a rapidly evolving product environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. You’ll be responsible for: Own end-to-end accounting and controllership for Ads revenue, including revenue recognition, contra-revenue, rev-share, incentives, credits, rebates, and related close activities under ASC 606. Design and execute scalable month-end and quarter-end close processes for Ads, ensuring accurate, complete, and timely reporting supported by reconciliations, flux analysis, and reviewer-ready evidence. Design accounting and control frameworks for global Ads expansion, including new currencies, billing entities, tax/invoice localization, FX

About the Team OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem. The Scaling Analytics team serves as the data backbone for this effort, enabling leaders and operators to make informed decisions across infrastructure deployment, hardware operations, supply chain, capacity planning, and site execution. As OpenAI’s Industrial Compute expands across an increasing number of global data center campuses, the complexity of managing infrastructure capacity, hardware health, supply flows, and operational performance continues to grow. Scaling Analytics develops the data models, pipelines, metrics, and reporting systems that transform fragmented operational data into actionable insights, helping OpenAI operate infrastructure at unprecedented scale. About the Role We are seeking a Data Engineer to help build and scale the analytical foundations that power OpenAI's infrastructure organization. This individual will partner closely with Hardware Operations, Capacity Planning, Supply Chain, Infrastructure Delivery, Finance, and Engineering teams to create reliable data products that support critical operational and strategic decisions. Today, much of the team's expertise is concentrated within several highly specialized domains including hardware health, GPU attribution, and supply analytics. As Stargate grows and new sites come online, the demand for analytics support continues to expand across both existing and emerging problem spaces. This role will increase the team's ability to move quickly, reduce operational bottlenecks, and provide additional depth across critical infrastructure analytics functions. The ideal candidate combines strong data engineering fundamentals with an ability to navigate ambiguous operational environments, translating complex infrastructure problems into scalable data solutions that improve visibility, decision-making, and execution. Key Responsibilities Design, build, and maint

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

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. OVERALL ROLE: The Technical Manager will (lead a team to) manage the day-to-day M&E Operations and activities for the assigned property/facility, and be the on-site key point of contact for key location stakeholders. The role will assume overall responsibility for site budgets, accounting and finance, maintenance and operations, contract services, purchasing of material, equipment & supplies, occupancy services and helpdesk. MAJOR RESPONSIBILITIES ▪ Operations Management: ● Establish Engineering & Operational procedures and roll out the same for site staff ● Establish contacts with local authorities on the facility related issues and maintain the relationship. Responsible for all legal & authorities related compliances pertaining to facility & engineering systems ● Plan and manage the budgets for Engineering & Operational contracts ● Carry out Technical Audits for all installations at periodical intervals ● Review the maintenance/service practices of M&E Contractors to deliver quality work practices in line with the manufacturer recommendations ● Plan & take responsibility for smooth operations of all Mechanical, Electrical, Plumbing installations and Civil works pertaining to the facility ● Responsible for planning a critical spares list for all installations as per manufacturer's recommendations and inventory ● Responsible for development of all maintenance related schedules and shutdowns in consultation with Clients / OEMs ● Periodically inspect the logbooks, checklists and PPM schedules for a better management of Engineering systems ● Work towards the 'ZERO' down time and set

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 Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role- ● Good command of using AI tools to enhance operational efficiency and campaign workflows. ● 2+ years of hands-on experience in Growth Operations in a consumer tech or fintech environment. ● Strong hands-on experience with CleverTap — campaign execution, user segmentation, and growth dashboards. ● Proven ability to collaborate with cross-functional teams — CLM, Marketing, Growth, and Design. ● Strong ownership mindset — takes accountability for outcomes and drives results with minimal hand-holding. ● Strong analytical thinking, problem-solving, and experimentation approach with clear communication skills. Why join us: Work with a high-performing and passionate product, design, and engineering team. Shape the future of credit for millions of users. Build at scale in one of India’s most dynamic and regulated spaces. Flexible and inclusive work environment with fast decision-making and ownership. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

About Paytm Lending Paytm’s Lending marketplace connects millions of consumers and merchant partners with top NBFCs and banks across Personal Loans, Merchant Loans, Postpaid, and Credit Cards. We build cutting-edge financial products powered by real-time risk modelling, seamless distribution, and high-volume transaction processing. Role Overview We are seeking an energetic, analytical, and business-focused Manager – Business Finance to join our Lending Finance team. In this role, you will act as a key financial partner to business leads, product managers, and risk teams across Personal Loans, Merchant Loans, and Credit Cards portfolios. You will be responsible for driving financial planning, developing bottom-up revenue models, tracking portfolio yields/costs, and delivering actionable insights to the CFO and CEO to maximize profitability and operational efficiency. Key Responsibilities 1. Revenue Modelling & Portfolio Economics - Build, maintain, and refine end-to-end financial & revenue models for lending products (Merchant Loans, Personal Loans, Postpaid). Model monthly/daily interest accruals, processing fee (PF) yields, First Loss Default Guarantee (FLDG) provisions, collection costs, and Cost of Funds (COF) across diverse lender partners. - Conduct scenario modelling (AOP vs. Actuals, MBR updates, Team Plans) to assess the impact of take-rate changes, volume mix shifts, and credit policy tightening. 2. Business Partnering & Decision Support - Act as a co-pilot to Business Heads to evaluate new commercial constructs, lender tie-ups, and product feature launches. - Analyze unit economics (Revenue per Disbursed/Booked Card, Net ROI, Take Rates, Risk-Adjusted Returns) at a product and lender level to guide business strategy. - Analyze risk vs. return trade-offs (GCL vs. Net ROI) across partner lenders to optimize portfolio allocation. 3. Financial Planning & Analysis (FP&A) - Lead the Annual Operating Plan (AOP) creation, monthly business reviews (MBR), and q

Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities:  Lead and execute risk-based internal audits, including operational, financial, and compliance reviews.  Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage.  Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures.  Collaborate with cross-functional teams to understand key business processes and identify risks and controls.  Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags.  Report audit findings to senior management and stakeholders with actionable recommendations.  Oversee documentation of working papers, audit procedures, and evidence in line with professional standards.  Mentor junior audit staff and build analytics capability within the team.  Liaise with external auditors, regulators (as needed) on investigations or audits.  Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills:  Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred.  2–7 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup.  Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R).  Proficient in audit management systems and GRC platforms.  Exceptional analytical, investigative, and report-w

About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help consumers and small businesses with payments, commerce, and credit. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for an early-career Product Manager to join Paytm Lending. The role is about re-imagining how a lending business runs, from underwriting and risk to operations and customer journeys, using LLMs and AI agents. It is a hands-on role. You will dig into data, edge cases, and day-to-day operational problems to understand them from the ground up before designing solutions. We are looking for first-principles thinkers who enjoy building with LLMs and like going deep on real problems. Key Responsibilities - Identify workflows across lending (underwriting, risk, recon, operations, collections) where LLMs and agents can add value, and judge where they cannot. - Build and ship product solutions from prototype to production, working closely with engineering. - Dig into data, edge cases, and operational detail to understand problems at the root. - Partner with stakeholders across risk, operations, engineering, and business to align priorities and drive delivery. - Write clear product requirement documents and manage roadmaps and deliverables. - Use data to define hypotheses, run experiments (A/B), and track impact; use SQL or Excel to access and validate data independently. - Track key product and data metrics (OKRs and KPIs) and adjust strategy as needed. Requirements - Bachelor's degree in engineering, computer science and/or related field with MBA from top tier colleges. - 2 to 4 years of professional experience in product management, product analytics, or a similar role, with a strong customer-first mindset. - Genuine, hands-on experience building with LLMs.