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Team Assembler Floater Jobs

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PE
1mo ago

About Us Paytm is India's leading mobile payments and financial services distribution company. A 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. Role Overview: As the KAM, you will manage and grow Paytm’s relationships with State Road Transport Corporations (RTCs) and private bus operators in your assigned region. You will drive strategic partnerships, ensure competitive supply availability, and take end-to-end ownership of regional revenue, pricing health, and operational performance. Key Responsibilities: Revenue & Performance Management Own and drive revenue targets, load factors, and seat fill rates for your region. Collaborate with central pricing and analytics teams to implement dynamic pricing strategies. Track revenue leakage, cancellations, and penal charges; work with operators to resolve issues. Market & Competition Analysis Regularly benchmark fares, seat inventory, and operator quality against regional competitors. Provide actionable insights on price trends, route-level demand patterns, and consumer behavior. Recommend product/UX changes based on feedback from operators and market observations. Operational Excellence Monitor SLA adherence on seat confirmations, refunds, and cancellation handling. Collaborate with customer support and tech teams to address escalations and resolve partner issues. Run regular health checks and audits on partner performance and NPS metrics. What We're Looking For: 2–6 years of experience in bus ticketing, logistics, e-commerce, or B2C travel partnerships Prior experience working with state transport corporations or regional aggregators is a strong plus Strong commercial acumen with negotiation experience Data-savvy: Comfortable working with dashboards, Excel, and BI tools to derive insights Deep understanding of r

O
OpenAI
πŸ“ San Franciscoβ€’ Full-time
1mo ago

About the Team The Intelligence and Investigations team is dedicated to ensuring the safe, responsible deployment of AI by rapidly detecting and mitigating abuse. Our team leverages the latest testing methodologies to uncover vulnerabilities and emerging threats, helping safeguard OpenAI’s products and users. We work closely with cross-functional partners across product, policy, and engineering to drive a comprehensive defense strategy against evolving adversarial challenges. About the Role As a Red Team Specialist focused on cyber, you will help answer two practical questions: What cyber capabilities can our models provide to real-world attackers, and do our safeguards remain effective when those attackers use increasingly sophisticated techniques? The role combines scaled evaluation with expert-driven testing. You may bring deeper experience in cybersecurity and use that expertise to judge whether a model’s behavior meaningfully changes attacker capability. Alternatively, you may bring deeper experience in model evaluations, automation, or agentic harnesses and apply those skills to building rigorous cyber testing. We do not expect every candidate to be equally deep in both areas, but successful candidates will have a strong foundation in one and enough fluency in the other to work effectively across the boundary. Most of your work will focus on model cyber capabilities and safeguards; you will also spend a portion of your time testing novel abuse risks in agentic systems. This role is located in San Francisco, CA or Seattle, WA. 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: Design and run rigorous evaluations of model cyber capabilities and safeguards, including policy adherence, correct refusal, over refusal, and resilience to jailbreaking and other adversarial techniques. Conduct hands-on testing to understand what models can enable when used by experienced security practiti

PE
Private Employer
πŸ“ Palo Altoβ€’ Full-timeβ€’ Hybrid
1mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Our Deal Team members collaborate with multiple Palantir teams to proactively engage with existing and prospective commercial customers, leading the structuring and negotiation of deal terms so that Palantir can continue to drive positive impact in the world. As a member of the Deal Team, you will partner closely with Palantir’s Legal, Finance, Sales, and Engineering teams to drive deal execution and support our growth efforts at scale, while directly owning the development and negotiation of commercial terms for commercial customers. You will use your expertise to unite our customer’s needs and considerations with our company’s strategy, using your creativity to identify the right commercial structure and approach for each customer. You will also utilize your understanding of the business landscape and build relationships with internal partners, increasing the visibility of deal progress and forecasting impact across all levels of our organization, from analysts to C-suite executives. In this role, you will also support various special projects that arise at our fast-paced, mission-focused company. We’re a team that values both creativity and teamwork. Whether operating solo or collaboratively, we endeavor to achieve great results on challenging, time-sensitive deal discussions and projects. You'll be given open ended objectives and expected to find ways to turn them into outcomes. By focusing on the broad vision without losing sight of the details, you'll bring large and multi-phase deals to successful completion while prioritizing team outcomes over individual wins. You are able to deliver complex commercial contract and deal information in an unde

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