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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are looking for an Executive Business Partner to support our four Senior Directors on the Policy Leadership team. This vital new role will manage scheduling and coordinate events, org wide initiatives, and meetings for the broader team. This role is for you if you enjoy working in an energetic environment, managing multiple competing priorities, and streamlining hectic days. The role requires someone who is incredibly organized, attentive to detail, and a true team-player able to build strong relationships. This role is expected to be based in the Washington, DC Lyft office on a hybrid schedule. Responsibilities: Proactively and strategically manage complex calendars and meeting coordination, travel, and other administrative tasks; Work closely with the Chief of Staff (CoS) to keep them informed of agendas, presentations, and decisions needed prior to meetings Prepare presentation materials and briefs for team meetings in partnership with CoS Project-manage initiatives and work streams; keeping track of progress, identifying areas for efficiencies, and ensuring timely completion of projects Manage clear communication between stakeholders, identify gaps in visibility and propose solutions Independently and proactively provide solutions to issues and escalate if necessary Stay abreast of the leaders’ priorities and major projects, serving as a resource for other stakeholders when needed Help plan offsites and team events Develop peer relationships with other Executive Business Partners in the org&a

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Customer Impact sits at the intersection of customer experience and engineering accountability. As an Associate on the Bug Review team, you will investigate flawed user experiences, verify and escalate bugs through structured cross-functional workflows, and drive visibility on open platform issues so resolution doesn't stall. Bug Review is the triage layer to separate signal from noise, ensuring Engineering receives verified, credible escalations instead of a flood of unvetted reports. The Bug Review Associate is the front line of that triage layer. You'll investigate incoming bug reports, verify reproducibility and impact, and manage tickets through their Jira lifecycle, turning raw customer signal into evidence Engineering can act on. This is a high-volume, detail-driven role: you'll work a defined queue of tickets each day, applying consistent investigation standards so that what reaches our Sr. Specialists and Engineering is already vetted. Because many of the reports you're investigating come from riders or drivers who had a genuinely bad experience, this role also requires direct, empathetic communication with customers. You're often the person following up on an issue that upset them. This role is part of a new HQ Associate model based in Mexico, built to bring bug review in-house with tighter tooling access, stronger quality control, and closer partnership with the broader teams. Associates report directly into the Customer Impact structure. Responsibilities Investigate and triage incoming bug reports against defined criteria (reproducibility, severity, customer impact) Open bug

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. LyftAds is one of the most differentiated first-party data assets in mobile advertising, grounded in real-world movement, intent, and verified conversion. We're building a direct-sold advertising business that competes on the strength of our data, our audience, and our ability to close meaningful partnerships with the agencies and programmatic platforms that control where dollars flow. About the Role: The Sr. Sales Executive is the tip of the spear for LyftAds’ programmatic and agency revenue. You will own a direct revenue number across agency holding companies and programmatic demand partners, while simultaneously helping define our go-to-market strategy, sales narratives, and product feedback loop. You will be equal parts revenue driver and internal advocate for the customer. This role is well-suited for someone who has grown beyond pure selling and wants to have a hand in building something, but who still loves the hunt and thrives on closing. Responsibilities: Own a revenue number across a defined book of Agency Hold Co’s and programmatic demand partners (DSPs, trading desks) Develop and execute a sales strategy for LyftAds data & audience solutions, not just respond to RFPs, but actively create demand Build and maintain C-level and VP-level relationships across programmatic, video, and investment teams at agencies Lead complex, multi-stakeholder deal structures including PMPs, data partnerships, audience activation, and measurement partnerships Serve as the voice of the customer internally, transla

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Emerging Business team provides white glove support to a variety of customers. In this role, you will be primarily focused on supporting a variety of customers, such as riders and drivers involved in a healthcare ride, or other enterprise industries. In every interaction, you will leverage the Lyft platform to meet the transportation needs for all users of our platform, providing customized resolutions to create win/win solutions. As an Associate on the Lyft Business Support team, you’ll be responsible for providing Enterprise grade customer support to a variety of Lyft customers via an omnichannel experience. You’ll leverage our existing support program and resources to deliver quality resolutions for small, large, and strategic customers alike. You’ll own each resolution from start to finish, ensuring that the customer feels heard and cared for throughout. Your efforts will reliably meet/exceed efficiency and customer satisfaction metrics. Most importantly, your tenacity, positive outlook, self-awareness, and determination to make it happen will buoy everyone around you. You are organized and a resourceful problem-solver who thrives, as both, a teammate and individual contributor! In short, you’ll be the face and voice for all Lyft Business rides, and strive to provide the best-in-class customer experience. Responsibilities: Be the first point of contact for Partners, who may be contacting Lyft regarding healthcare rides or an enterprise account. Create an exceptional, persona

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. Job Summary: We are seeking a highly motivated and experienced Team Lead to manage a team of Customer Experience Specialists within our Flights Line of Business. The ideal candidate will have a strong understanding of the travel industry excellent analytical skills, and proven people management abilities. This role is critical in ensuring a seamless and positive experience for our customers booking flights through our platform. Responsibilities: Team Management: ● Supervise, coach, and mentor a team of Customer Experience Specialists [Team of 15 Members]. ● Conduct regular performance reviews, identify training needs, and create development plans for team members. ● Monitor team performance against key metrics (e.g., resolution time, customer satisfaction scores, first call resolution). ● Manage team schedules and ensure adequate staffing levels to meet customer demand. ● Foster a positive and collaborative team environment. Customer Experience: ● Ensure the team provides exceptional customer service across all channels (phone, email, chat, social media). ● Handle escalated customer issues and complex inquiries. ● Identify and address trends in customer complaints and feedback. ● Proactively identify opportunities to improve the customer experience. Operational Excellence: ● Monitor key performance indicators (KPIs) and identify areas for improvement in operational efficiency. ● Implement process improvements and best practices to enhance team productivity and customer satisfaction. ● Collaborate with other departments (e.g., product, engineering, growth and finance) to resolve customer issues and

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Role: We are looking for a strategic and data-driven Growth leader to own and scale growth for the Paytm for Business app. The role will be responsible for driving activation, engagement, retention and winback, with a strong focus on improving service-led product journeys and building a scalable growth engine. The ideal candidate will combine strong product and growth thinking with deep expertise in analytics, experimentation and lifecycle marketing. This is a high-ownership role that will work closely with Product, Engineering, Data, Marketing and Business teams to identify growth opportunities, design interventions and drive measurable outcomes at scale. Key Responsibilities: - Own the growth charter for the Paytm for Business app, covering activation, engagement, retention and win back. - Identify opportunities across key service product journeys and build strategies to improve user adoption, usage and retention. - Build a data-led growth engine using user analytics, cohort analysis, funnel metrics and behavioral insights. - Drive a strong culture of experimentation and rapid iteration, including hypothesis creation, A/B testing and measurement of business impact. - Own and scale lifecycle marketing / CLM initiatives across user segments and stages of the customer journey. - Leverage AI and Agentic capabilities to automate growth workflows, personalization, customer lifecycle management and decision-making. - Define and track growth KPIs, identify gaps and translate insights into actionable product and business initiatives. - Work cross-functionally with Product, Engineering, Data Science, Ma

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

About the team The Capital Markets team develops the financing strategy, solutions, and partnerships needed to support our expanding global AI infrastructure platform and long-term investment plans. About the role We’re looking for a structured finance professional to serve as a technical execution engine for a lean, high-impact capital markets team. In this role, you’ll own the models, analysis, diligence, process management, and key execution workstreams behind standardized or more “vanilla” financings, while partnering with senior transactors on more complex transactions. This is not a junior analyst role. You’ll need the experience and maturity to work directly with senior leaders, banks, investors, counsel, and advisors without multiple layers of review. You should be highly capable in the details, strong under transaction intensity, and ready to help build financing processes for a rapidly scaling AI infrastructure platform. What you’ll do Translate financing objectives into clear analyses, recommendations, timelines, and deliverables. Support senior transactors on complex financings, including structuring, documentation, diligence, negotiation, and closing. Lead analysis, diligence, process tracking, and execution workstreams for financing transactions. Own transaction models, including debt sizing, cash-flow waterfalls, sensitivities, covenant analysis, and scenario evaluation. Work directly with internal stakeholders, banks, investors, counsel, advisors, and other counterparties. Review transaction documentation and help ensure commercial, financial, and diligence details are reflected accurately. Manage high-volume, detail-intensive workstreams in a lean team environment. Help develop repeatable tools, processes, and analytical infrastructure as the capital markets function scales. You might thrive in this role if you have At least 4-6 years of directly relevant experience in project finance, structured finance, infrastructure finance, private equity, or a

About the Team OpenAI is at the center of some of the highest-impact multimodal work in AI. ChatGPT serves a massive global audience, and enables diverse interactions via text, speech, and visuals. As interactive surfaces grow, models also need to adapt to emerging harm, understand user intent and situational context, and respond appropriately. The Chat and Multimodal Safety team is responsible for ensuring that OpenAI’s increasingly multimodal models and products behave safely across these experiences. We develop the research, training methods, and evaluations needed to make these experiences safe. Our work sits at the frontier of responsibly deploying powerful AI, in close partnership with Personal AGI, io, model training, and product teams. About the Role As a Researcher on the Chat and Multimodal Safety team, you will help shape how frontier models perceive and reason the world, and translate that understanding into safe behavior. We’re looking for people who combine deep technical expertise with strong safety judgment. Strong candidates often bridge perception and language: they may have built vision-language models, worked on modality fusion or image encoders, developed multimodal post-training or evaluations, or advanced safety for image, video, or audio systems. 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: Define and advance multimodal safety research for text, vision, and audio, connecting perception and semantic understanding to safe model behavior. Build training and evaluation methods for VLMs, including post-training, safety evals, and interventions that help models respond safely and appropriately in varied contexts. Collaborate closely with Personal AGI, Consumer Devices, and product/model teams to translate research into safer ambient, embedded, and personalized multimodal experiences. You might thrive in this role if you:

About the team ​​Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation. As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve. In this role, you will: Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership. Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities. Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model util

About the Team OpenAI builds powerful AI systems like ChatGPT, the OpenAI API, and enterprise products that serve millions of users across the globe. As we scale, securing our infrastructure, protecting sensitive data, and meeting global compliance standards are essential to our success and societal impact. Security at OpenAI is a cross-cutting function that spans infrastructure, applied engineering, legal, policy, and product. Technical Program Managers (TPMs) play a critical leadership role in aligning teams and delivering execution at scale and this role will be foundational in shaping how we secure OpenAI’s systems, users, and commitments. About the Role We’re seeking a Senior Technical Program Manager to drive cross-functional security, privacy, IT and compliance initiatives at the intersection of infrastructure, product, and policy. You will execute complex programs that reduce internal data access, prevent misuse, and ship security capabilities. You will focus your efforts on the most critical initiatives within Security, crossing the spectrum of insider threat, information security, physical security, and information technology challenges. This role is deeply technical and execution-focused. It requires a structured operator who thrives in ambiguity, partners effectively across boundaries, and applies principled judgment to scale trust, governance, and security across OpenAI’s systems and products. In this role, you will: Drive execution of critical security and compliance programs such as vulnerability management, merger and acquisition security and integration, infrastructure hardening, and datacenter security management. You will need to deeply collaborate on technical architecture and resolve technical problems in partnership with engineering. Partner with IT, Infrastructure, Application, Legal, Privacy, and Security teams to build scalable programs, and deliver critical security outcomes across multiple disciplines, including insider threat, information

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 Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role As AI agents become more capable at software engineering, and automate more of our internal work, they could become a dangerous cyber threat. People in this role will help OpenAI prepare for security threats from advanced AI agent insiders. In this role, you will: Identify paths by which capable future internal AI agents could compromise OpenAI. Design security controls - focusing on measures with long lead times that benefit from advanced preparation. Stress-test defenses with AI agent evaluations and penetration tests You might thrive in this role if you: Are deeply technical across security and modern infrastructure, and are comfortable digging into the details of operating systems, cloud, containers, CI/CD, or distributed systems. Have strong software engineering skills and enjoy building prototypes yourself. Are interested in engaging with stakeholders and can do so effectively. Bonus: have experience securing cloud infrastructure, and are deeply familiar with core components of the AI stack. Compensation Range: $293K - $405K USD 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

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 Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. Within Finance, the Procurement team serves as a trusted advisor to the business, optimizing investments, securing essential resources, and enabling OpenAI’s mission through efficient and effective procurement practices. The Extended Workforce team helps OpenAI access specialized and flexible talent while creating a consistent, compliant, and high-quality experience for hiring managers, workers, vendors, and internal partners. As part of an AI-native organization, we are also rethinking how extended workforce programs should operate, using AI, automation, data, and new ways of working to reduce friction, improve decision-making, and build more scalable workforce solutions. Our goal is not simply to modernize traditional contingent workforce practices, but to help define what best-in-class extended workforce management looks like in an AI-first company. About the Role We’re looking for an experienced, hands-on Extended Workforce Program Manager to operate and continuously improve key elements of OpenAI’s extended workforce program. Reporting to the Head of Extended Workforce, you will be a trusted partner responsible for translating program priorities into clear plans, scalable solutions, and measurable outcomes. This is an individual contributor role with significant cross-functional ownership and influence. You will take ownership of complex workstreams, solve ambiguous operational challenges, and partner closely with our Extended Workforce Operations team, Global Compliance Lead, and cross-functional stakeholders to strengthen the systems, workflows, and partnerships that enable the program to scale globally. While operational excellence is at the heart of this role, we are equally excited about what comes next. We believe AI presents an opportunity to fundamentally rethink how extended workforce programs operate. We are looking for someone w