Field Sales Performance Manager Southeast Region Jobs

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will Lead and manage a team of three senior full-stack engineers. Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. Drive execution across product, engineering, research, go-to-market, and partner teams. Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You Have several years of direct people-management experience with engineers. Are still highly technical and comfortable doing IC engineering work. Have strong pr

About the Team The legal industry team works with law firms, in-house legal departments, legal technology companies, and other members of the legal ecosystem to understand how AI can support serious professional work. The team collaborates across Product, Research, Engineering, Design, Go-to-Market, Partnerships, Safety, Security, and Legal. We believe the strongest progress in legal will be built with the ecosystem. Our goal is to help customers and partners use OpenAI's capabilities in ways that are useful, trustworthy, and complementary to the products, expertise, and relationships that already serve the field. About the Role As a Product Manager you will help lead OpenAI's work with the legal industry. This is a high-ownership, hands-on role for someone who can turn incomplete information into clear priorities and shipped work. We’re looking for people who will spend time with customers and partners, work closely with researchers, engineers, designers, and operators, and keep complex work moving across teams. You will have meaningful ownership, but your success will depend as much on collaboration, follow-through, and judgment as on strategy. Success will depend on detailed, behind-the-scenes work in a fast-moving environment that can sometimes be chaotic. The right person will work very hard, get their hands dirty, and stay calm when the path is unclear. The work is also important and substantive: you will help shape how powerful technology is used in a consequential profession. This role is based in San Francisco, CA. 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: Turn customer, partner, market, and model evidence into a clear product strategy and roadmap for OpenAI’s work with the legal industry—including what to build, what not to build, and where ecosystem partners should lead. Define requirements and take products from early concept through real-world use and iteration.

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. We work closely with hardware design teams, manufacturing partners, suppliers, and data center operations to deliver the compute platforms that power frontier AI. The Manufacturing Engineering team ensures our hardware can be built, tested, deployed, and supported at hyperscale. We bridge Hardware Engineering, Quality, Supply Chain, Contract Manufacturers, and Hardware Operations to continuously improve manufacturing performance throughout the product lifecycle. As our fleet grows globally, sustaining manufacturing engineering becomes increasingly important to maintain product quality, improve manufacturability, and rapidly resolve production issues. About the Role We are seeking a PCBA Manufacturing Engineer (Sustaining) to support production and continuous improvement of printed circuit board assemblies (PCBAs) used throughout Industrial Compute hardware platforms. This role focuses on sustaining engineering after product launch. You'll partner closely with Hardware Design, Quality, Manufacturing, Test Engineering, Supply Chain, and our contract manufacturers to resolve production issues, improve manufacturing yield, reduce failures, implement engineering changes, and ensure stable high-volume manufacturing. The ideal candidate has experience supporting complex server, networking, accelerator, storage, or high-performance electronics manufacturing environments. Key Responsibilities Own sustaining manufacturing engineering for PCBA production across multiple hardware platforms. Drive root cause investigations for manufacturing defects, field failures, and production escapes. Partner with Hardware Design Engineers to improve manufacturability (DFM/DFA/DFT). Support engineering change orders (ECOs) and manufacturing change implementation. Work directly with contract manufacturers to improve production yield, cycle time, and quality. Analyze manuf

About the Team The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. About the Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We’re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. 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: Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. Work on simulations to inform our future supercomputer network designs. You might thrive in this role if you: Have written distributed algorithms using RDMA in the past. Are comfortable writing low level performance sensitive CPU and/or GPU code. Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voic

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role As an Industry PMM, you will help define how OpenAI brings frontier AI to priority industries. This role sits at the center of OpenAI’s industry marketing motion, helping customers understand where AI can create practical value, improve workflows, and support responsible adoption. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior industry leaders understand how OpenAI models, products, and workflows can support meaningful work in either Life Sciences, Banking, or Healthcare. We’re looking for a product marketer who can combine strategic narrative, technical curiosity, enterprise GTM judgment, and program leadership. The right person can turn fast-moving capability into clear positioning, credible assets, and practical field execution. This role is based in San Francisco, CA. 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: Own positioning and messaging for OpenAI’s industry offering for either Life Sciences, Banking, or Healthcare. Build field-ready assets for account directors, solution engineers, industry leaders, and executive audiences, including first-call decks, one-pagers, use-case libraries, customer stories, and proof-point packages Translate frontier model ca

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent in science, engineering, and business to address one of the most ambitious challenges of our times. The Recruiting team is at the heart of this mission, tasked with identifying and hiring exceptional individuals who align with OpenAI's values and cultural ambitions. Our approach to recruitment aims to set the standard for excellence and innovation in the field, connecting outstanding candidates with opportunities to impact the future of AI. About the Role As a Senior Technical Sourcer at OpenAI, you will play a key role in identifying and engaging top-tier engineering talent across a broad range of technical domains. Your focus will be on sourcing exceptional software engineers and technical talent to help build world-class teams advancing our mission in AI research and deployment. In this role, you will: Lead sourcing strategies to identify and engage candidates across a variety of engineering disciplines, including software engineering, backend systems, product engineering, and related technical areas. Develop and maintain a strong pipeline of passive candidates through proactive outreach, research, and networking. Collaborate closely with hiring managers and technical leaders to deeply understand hiring needs and refine sourcing approaches accordingly. Leverage advanced sourcing techniques and tools to identify and attract exceptional talent. Represent OpenAI at industry events and conferences to promote our mission and connect with potential candidates. Maintain accurate and organized candidate data and metrics to inform sourcing strategies and decision-making. You might thrive in this role if you have: 5+ years of experience in technical sourcing, with a focus on engineering or technical roles. A proven track record of successfully sourcing candidates across a range of software engineering and

About the Team Corporate Security helps protect OpenAI's people, offices, events, and operations through practical and risk-informed security programs. The team partners closely with Workplace, Legal, People/HR, Resilience & Safety, Executive Operations, GSOC, regional leaders, vendors, and building management. About the Role OpenAI is seeking a Paris-based Security Operations Manager to lead corporate and physical security operations for Paris, provide primary support for Brussels, and coordinate regional support for Munich, Zurich, and other European cities as needed. This person will be a trusted security partner for local teams, regional stakeholders, vendors, building management, and global Corporate Security peers. In this role, you will: Lead day-to-day physical security operations for the Paris office and supporting Brussels operations. Coordinate regional security support for Munich, Zurich, and other European cities where business activity, events, travel, or executive visits require coverage. Manage practical security controls, including access management, visitor workflows, vendor coordination, incident response, emergency readiness, and site security documentation. Partner with Workplace, building management, Legal, People/HR, EHS/Resilience, GSOC, Executive Operations, and local leadership to keep security effective, locally appropriate, and employee-friendly. Support event and executive visit planning with clear escalation paths, stakeholder alignment, and proportionate risk mitigation. Improve vendor performance, operational standards, reporting, and remediation tracking. You might thrive in this role if you have: 8+ years of experience in corporate security, physical security operations, protective services, emergency management, public service, military, law enforcement, or a closely related operational field. Experience leading physical security operations in a modern office environment, ideally in technology, professional services, financial

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing a test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST and gRPC Build and maintain scalable and extensible data schemas using PostgreSQL, Clickhouse, etc. Contribute to front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular Ensure that applications are secure and adhere to industry best practices Continuously improve software development processes and practices Ideally, you'd have: Bachelor's degree in Computer Science or related field. At least 4 years of relevant work experience. Solid back

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. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Deve

Base Location: Noida (Extensive Pan-India Travel Required) Role Overview We are looking for a high-ownership, execution-first General Manager to drive cross-sell initiatives by working closely with offline business teams and partners across locations. This role is critical in bridging central product and business teams with on-ground leaders, ensuring rapid execution, structured feedback loops, and strong MIS-driven decision making. The role demands significant travel, deep coordination with senior field leaders, and the ability to operate with an entrepreneurial mindset in ambiguous, fast-moving environments. Key Responsibilities ● Act as the single-point owner for driving cross-sell initiatives through offline teams across regions ● Travel extensively across cities to work with regional and city heads, align on targets, incentives, and execution plans, and resolve on-ground bottlenecks in real time ● Ensure consistent execution of cross-sell programs across all locations ● Drive adoption of new products through offline channels and identify high-potential locations and teams for scaling ● Build and refine cross-sell playbooks in collaboration with central teams based on field learnings ● Act as the voice of the field by gathering structured feedback from frontline teams and leaders ● Translate qualitative on-ground feedback into clear, actionable inputs for product, operations, and leadership teams ● Build and own robust Excel-based MIS dashboards covering cross-sell performance, location-wise metrics, leader-wise performance, and funnel conversion ● Ensure data accuracy, reporting discipline, and timely business reviews ● Use MIS and insights to drive accountability and course correction ● Work closely with senior offline leaders, product, operations, and analytics teams ● Influence without authority and drive alignment across multiple stakeholders Candidate Profile Experience ● 8–14 years of overall experience (flexible for exceptional candidates) ● Strong ex

Role Overview The Area Collections Manager will be responsible for managing end-to-end collections across bucket segments, driving resolution strategies, ensuring portfolio health, and leading large on-ground and tele-calling teams. The role requires strong expertise in delinquency management, compliance, analytics, and team leadership. Key Responsibilities 1. Bucket & Portfolio Management ● Manage collections across delinquency buckets (0–30, 31–60, and higher DPD segments) ● Improve resolution rates in both early and late buckets ● Focus on non-starter and delinquent accounts to prevent roll-forward ● Drive collection efficiency and overall portfolio health ● Monitor daily performance and ensure adherence to CAPE norms 2. Tele-Collections Management ● Handle soft delinquency buckets (0–30 & 31–60 DPD) through tele-calling strategies ● Design and optimize calling patterns based on customer risk profiling ● Improve dialer efficiency, call connect rates, and campaign performance ● Maximize early-stage resolutions to prevent migration to hard buckets 3. Field Collections & Risk Control ● Ensure strong field discipline (app usage, visit tracking, audit trails) ● Drive legal escalation for critical/high-risk cases ● Conduct audits to identify and mitigate portfolio risks ● Maintain strong governance and control mechanisms 4. Team Leadership & Vendor Management ● Lead large teams including Collection Managers, Team Leaders, and Executives ● Manage third-party/vendor collection agencies ● Allocate portfolios and set bucket-wise targets ● Conduct daily huddles, reviews, and performance tracking ● Coach teams on negotiation, objection handling, and resolution strategies 5. Target Achievement & Performance Delivery ● Drive monthly collection targets and improve resolution ratios ● Enhance PTP (Promise to Pay) conversion and kept rates ● Focus on First-Time Delinquent (FTD) customers to reduce future NPAs ● Ensu

Role Overview The Area Collections Manager will be responsible for managing end-to-end collections across bucket segments, driving resolution strategies, ensuring portfolio health, and leading large on-ground and tele-calling teams. The role requires strong expertise in delinquency management, compliance, analytics, and team leadership. Key Responsibilities 1. Bucket & Portfolio Management ● Manage collections across delinquency buckets (0–30, 31–60, and higher DPD segments) ● Improve resolution rates in both early and late buckets ● Focus on non-starter and delinquent accounts to prevent roll-forward ● Drive collection efficiency and overall portfolio health ● Monitor daily performance and ensure adherence to CAPE norms 2. Tele-Collections Management ● Handle soft delinquency buckets (0–30 & 31–60 DPD) through tele-calling strategies ● Design and optimize calling patterns based on customer risk profiling ● Improve dialer efficiency, call connect rates, and campaign performance ● Maximize early-stage resolutions to prevent migration to hard buckets 3. Field Collections & Risk Control ● Ensure strong field discipline (app usage, visit tracking, audit trails) ● Drive legal escalation for critical/high-risk cases ● Conduct audits to identify and mitigate portfolio risks ● Maintain strong governance and control mechanisms 4. Team Leadership & Vendor Management ● Lead large teams including Collection Managers, Team Leaders, and Executives ● Manage third-party/vendor collection agencies ● Allocate portfolios and set bucket-wise targets ● Conduct daily huddles, reviews, and performance tracking ● Coach teams on negotiation, objection handling, and resolution strategies 5. Target Achievement & Performance Delivery ● Drive monthly collection targets and improve resolution ratios ● Enhance PTP (Promise to Pay) conversion and kept rates ● Focus on First-Time Delinquent (FTD) customers to reduce future NPAs ● Ensu

Role Overview The Area Collections Manager will be responsible for managing end-to-end collections across bucket segments, driving resolution strategies, ensuring portfolio health, and leading large on-ground and tele-calling teams. The role requires strong expertise in delinquency management, compliance, analytics, and team leadership. Key Responsibilities 1. Bucket & Portfolio Management ● Manage collections across delinquency buckets (0–30, 31–60, and higher DPD segments) ● Improve resolution rates in both early and late buckets ● Focus on non-starter and delinquent accounts to prevent roll-forward ● Drive collection efficiency and overall portfolio health ● Monitor daily performance and ensure adherence to CAPE norms 2. Tele-Collections Management ● Handle soft delinquency buckets (0–30 & 31–60 DPD) through tele-calling strategies ● Design and optimize calling patterns based on customer risk profiling ● Improve dialer efficiency, call connect rates, and campaign performance ● Maximize early-stage resolutions to prevent migration to hard buckets 3. Field Collections & Risk Control ● Ensure strong field discipline (app usage, visit tracking, audit trails) ● Drive legal escalation for critical/high-risk cases ● Conduct audits to identify and mitigate portfolio risks ● Maintain strong governance and control mechanisms 4. Team Leadership & Vendor Management ● Lead large teams including Collection Managers, Team Leaders, and Executives ● Manage third-party/vendor collection agencies ● Allocate portfolios and set bucket-wise targets ● Conduct daily huddles, reviews, and performance tracking ● Coach teams on negotiation, objection handling, and resolution strategies 5. Target Achievement & Performance Delivery ● Drive monthly collection targets and improve resolution ratios ● Enhance PTP (Promise to Pay) conversion and kept rates ● Focus on First-Time Delinquent (FTD) customers to reduce future NPAs ● Ensu

About the Team Meesho Mall is Meesho’s branded commerce business, focused on building a trusted destination for branded products across categories for users. We are chasing a goal to acquire wallet share of a user on branded items. It is a rocket-ship within Meesho that has been growing super fast YoY About the Role Meesho is building one of India's largest distributor networks to enable faster deliveries, lower shipping costs, and deeper brand penetration across the country. As a Distributor Onboarding Lead (AM – Operations), you will own the complete journey of expanding Meesho's distributor network—from identifying potential distributor partners to successfully onboarding and activating them. This is a high-ownership, field-intensive role that requires strong business development, negotiation, and relationship management skills. You will work closely with brands, distributors, and internal cross-functional teams to build long-term supply infrastructure that powers Meesho's next phase of growth. This role is field-first. Candidates should expect to travel extensively, spending approximately 3 out of every 4 weeks on the ground across different cities and states.

About the Team Want to be the engineer who turns our Voice AI platform from a product into a production-grade solution inside a client's business? Then joining us as a Forward Deployed Engineer might be the perfect fit for you! When enterprises trust our voicebot AI to handle thousands of live customer conversations daily, onboarding them right and keeping things running smoothly isn't optional — it's mission-critical. Our FDE team is the technical backbone of every client relationship, responsible for taking clients from signed contract to successful production deployment and beyond. We operate with a strong ownership mindset. Our team moves fast, communicates clearly, and treats every client deployment like a product launch. We work closely with Product, Infra, Biz and Platform Engineering to ensure what we learn in the field shapes how we build. As a Forward Deployed Engineer, you'll work alongside a sharp, client-obsessed team who thrive on solving real-world problems at the intersection of Voice AI and enterprise operations. We know how to party as hard as we work! When we’re not solving customer problems, you can find us discussing the latest tech trends, sharing our favorite books and games, or simply unwinding over a hot cup of chai. If you want a role where no two days look the same and your work directly impacts how businesses talk to their customers, come join us! About the Role As a Forward Deployed Engineer in our Voice AI team, you will be the primary technical owner for client deployments on our B2B voicebot platform. You'll work directly with clients to understand their requirements, configure and deploy voicebot solutions, build customisations, resolve production issues, and ensure ongoing success- acting as the bridge between our platform's capabilities and the client's business needs. If you're someone who loves owning outcomes end-to-end, this role is built for you.