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Role Overview We are looking for a senior Sales Planning & Distribution Strategy leader to drive data-led planning and distribution strategy for a large-scale field sales organisation. The role will focus on network planning, manpower optimisation, territory design, productivity improvement and capability building. Key Responsbilities • Lead Sales Planning and Distribution Strategy for a large field organisation. • Develop manpower and network plans based on business potential, productivity and market requirements. • Design and optimise territories, locations and field-force deployment. • Use business data and analytics to identify productivity gaps and improve sales output. • Develop frameworks for workforce planning, capacity planning and productivity management. • Build and strengthen sales capabilities, processes and planning mechanisms. • Work closely with business, sales and analytics teams to drive data-backed decisions. • Identify opportunities to improve the utilisation of the existing distribution network and merchant relationships across multiple products. • Build scalable planning models that can support future business growth. • Lead and mentor a small team of 1–2 data/analytics resources supporting planning and execution. WHAT WE ARE LOOKING FOR • 10+ years of overall experience, preferably in Sales Strategy, Distribution Strategy, Sales Planning, Network Planning or Sales Transformation. • Experience working with large-scale field sales or distribution teams. • Strong understanding of manpower planning, territory planning and distribution/network optimisation. • Strong analytical and problem-solving skills with the ability to work with business data and translate insights into actionable plans. • Experience designing planning frameworks and processes rather than only executing existing plans. • Strong stakeholder management and communication skills. • Demonstrated experience in capability building and improving sales productivity. • Experience in

About the Team At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale. We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles , and this team is key to that. About the Role We’re looking for a senior operator with strong analytical instincts to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll flex across the team’s highest-priority data and operational needs—from reporting and dashboard insights to budget and capacity planning, project-based analysis, and data automation —while partnering closely with Product, Policy, Engineering, Legal, Go To Market, and Data Science and Data Engineering teams. This role sits at the intersection of strategy, execution, and data: you’ll define ambiguous problems, query and validate data, build decision-support systems, and translate operational signals into clear recommendations and scalable, AI-first solutions. You should be comfortable moving from a high-level question to a rigorous analysis, a useful dashboard, an automated workflow, or a durable operating mechanism. As OpenAI introduces new revenue-generating formats and partnerships, you’ll help the team understand where risks, capacity constraints, quality gaps, and opportunities are emerging. You’ll brin

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our Mid-Market and Enterprise SE teams. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organisations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals w

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart's ads systems. You will use machine learning to devise and refine solutions in crucial areas such as ads selection, ranking, bidding, and auction across all of Instacart’s consumer facing surfaces and Ads Ecosystems. You will actively contribute to initiatives, assisting in all stages of ML projects from the initial concept, through prototyping and experimentation, to final launch. About the Team: The Ads Response Prediction team owns systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, Sequential Modeling an

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to build and lead our business with independent software vendors, from native AI companies building in our programs to technology companies taking new products to market with OpenAI’s models and products. You will help partners build, launch, and grow differentiated products while working closely with our sales and product organizations. About the Role You are a senior partnerships leader with strong judgment, high ownership, and a track record of building consequential ISV relationships. You can establish durable executive partnerships, lead complex product and commercial negotiations, and move fluently from market strategy to integration, launch, adoption, and growth. You are highly commercial, technically fluent, and comfortable operating where there is no playbook. In this role, you will: Define OpenAI’s ISV partnership strategy, priorities, segmentation, and business goals. Recruit and manage a portfolio of high-impact software partners across horizontal and vertical applications. Structure and negotiate partnerships spanning product integration, model adoption, commercial terms, distribution, and joint go-to-market. Develop joint business plans and executive governance with strategic partners. Help partners move from initial build to launch, customer adoption, expansion, and scaled consumption. Create repeatable co-build, co-sell, co-market, and marketplace motions. Serve as the voice of ISVs internally, shaping product requirements, developer experience, economics, and partner programs. Track partner pipeline, launches, adoption, consumption, customer impact, and ecosystem growth. Establish the team structure and operating model needed to scale the ISV business. You might thrive in this role if you have: 12+ years of experience in technology partnerships, business development, platform ecosystems, or enterprise softw

About the Team The Product Marketing team shapes how customers understand, adopt, and realize value from OpenAI’s technology. We work across Product, Research, Sales, Solutions, Partnerships, and Customer Success to bring customer insight into our product strategy and translate technical capabilities into clear, credible stories and solutions. About the Role AI becomes meaningful when it helps people do the work that matters to them. For a finance team, that might mean understanding complex information faster. For a healthcare provider, it might mean navigating clinical workflows more effectively. For a sales or marketing team, it might mean creating entirely new ways to reach and serve customers. We’re looking for a senior product marketing leader to shape how OpenAI serves the business functions and industries where our technology can make a meaningful difference. You’ll define how our models and products meet the needs of teams such as sales, marketing, and finance, as well as industries including financial services, healthcare, and retail. Working closely with Product, Research, Sales, Solutions, and Partnerships, you’ll identify important customer problems, influence product strategy, and build relationships with the ecosystem partners and data providers needed to bring complete solutions to market. You’ll also build and lead the product marketing team responsible for turning these opportunities into durable customer value. You might thrive in this role if you: Have 12+ years of experience in product marketing, industry marketing, solutions marketing, or enterprise go-to-market, ideally across enterprise software, cloud, data, developer, or AI platforms. Have built and led high-performing teams, mentored senior marketers, and know how to create clarity in fast-moving, ambiguous environments. Understand how different industries and business functions evaluate technology, adopt new tools, and define value. Have shaped positioning and go-to-market strategies for c

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software 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. Key Responsibilities Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali

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: As an Senior Engineering Manager, you will be developing the detailed design structure, implementing the best practices and coding standards, leading a team of developers for successful delivery of the project. You will be working on design, architecture and hands-on coding. Requirements: 9 to 13 years in Technical development with 5+ years in Providing technical leadership for high performance teams. Work closely with business and product teams to understand the requirements, drive design, architecture and influence the choice of technology to deliver solutions working closely with architects and leadership team. Build robust, scalable, highly available and reliable systems using Micro Services Architecture based on Java, Spring boot. Improve Engineering and Operational Excellence by identifying and building the right solutions for observability and manageability. Keep the tech stack current with the goal to optimize for scale, cost and performance. Migrate workloads to public cloud. Attitude to thrive in a fun, fast-paced environment. Serve as a thought leader and mentor on technical, architectural, design and related issues. Proactively identify architectural weaknesses and recommend appropriate solutions. Preferred Qualification : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: Tech Stack: Lang: Java, DB: RDBMS, Messaging: Kafka/RabbitMQ, Caching: Redis/Aerospike, Micro services, AWS. Strong experience in scaling, performance tuning & optimization at both API and storage layers Hands-on leader, and problem solver with a passion for e

About the Team The Dasher Growth Marketing team is focused on building and nurturing our Dasher base by building a relationship with our couriers and providing them with an engaging and relevant cross-channel experience. The Dasher Growth Marketing team at DoorDash is growing rapidly, and as our Mexico City Media Ops pod matures, we're adding a dedicated Associate Manager to own the quality, consistency, and coordination of our day-to-day acquisition engine. About the Role We're looking for a talented and driven Associate Manager to lead quality, coordination, and stakeholder management for our Dasher paid acquisition program across the U.S., Canada, Australia, and New Zealand. You'll review and sign off on the team's campaign builds, audits, QA, testing, and reporting, while staying hands-on enough to jump into channel and media management yourself whenever a channel or media owner needs support, coverage, or a second set of eyes. You'll also be one of the main points of contact for our publisher and vendor partners (Meta, TikTok, Snapchat, Google, Reddit) and drive cross-functional alignment across media, creative, and analytics teams. You'll partner closely with the Media Ops and Creative Strategy Senior Associates to prioritize their work, ensure consistent quality across campaigns and reporting, and translate performance and creative insights into a clear, prioritized backlog. You'll also collaborate with Associate Managers across other lines of business to share learnings, align on best practices, and keep our approach to media ops consistent across teams. You'll also be involved in budget allocation and media strategy, in partnership with the Manager, Dasher Performance Marketing and the broader Dasher Paid Media team. Based in Mexico City (CDMX), you'll be part of the founding leadership layer of our local office. You will report directly to our Manager, Dasher Performance Marketing (CDMX). You're excited about this opportunity because you will… Own quality

The Loan Processing Manager provides leadership and direction to a medium-sized team of employees. In-depth knowledge of all of the core functional areas of Fulfillment and key regulations as well as well versed in credit policy, collateral, legal & compliance. Plays a critical role in ensuring that business controls are adhered to thereby mitigating risk to the company. The role is critical in managing teams and pipeline to ensure adherence internal and external client experience for optimal client experience. Responsibilities: Direct responsibility for a team of loan processing specialists who will perform overall client relationship management including reviewing the loan to ensure credit conditions are met and assisting clients through the balance of the process. Management duties include performance evaluation, compensation, hiring, disciplinary actions as well as direction of daily tasks and responsibilities. Guides the team to meet production goals while ensuring the level of expected service, quality and integrity of the loans are maintained. Takes ownership of MCAs, CAPS and Action Plans for Processing area and frequently presenting progress, challenges and performance results of the team, the channel or processing team to peers, senior leaders and partners in various forums. Influence decisions through advice, counsel, facilitating services to other or through joint accountability for volume, quality and timeliness of end results. Assists processors with complex transactions by providing experience, knowledge and resources in order to guide the processor through the correct steps, questions that arise and approvals needed. Added complexity could be the result of self-employed borrower or unique income sources, Condo/Coop requirements, Government and Investor requirements, market nuances, et al. Assists processors with escalated client complaints and resolutio

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro has an immediate opening for a hard-working, focused, innovative Brand Manager to drive Product Development and Marketing for our new licensed K-Pop Demon Hunters brand. In this high-profile role, you will partner closely with Netflix to drive the strategic product vision for K-Pop Demon Hunters. We are looking for a collaborate individual with a bold spirit to fill this Senior Brand Manager role. Candidates should have strong communication and presentation skills to build meaningful relationships! Partnering with resources both inside and outside the organization, you will build a cohesive and actionable category and channel plan. You will collaborate with a group of designers, engineers, branding creatives, project managers, and finance leaders. Together, you will build and lead all aspects of branded product line initiatives to drive sales. Additionally, you will serve the US market by driving commercial strategy and go-to-market efforts. You will also work closely with global regional teams to share marketing objectives, improve strategies and toolkit materials, and increase sales. Effective from the date that Hasbro opens in new Boston location, this position will be onsite Tuesday-Thursday at Hasbro's new location in Boston, MA In the interim, this position will be onsite Tuesday-Thursday at Hasbro's HQ in Pawtucket, RI or at Hasbro's temporary location in Boston, MA A day in the life as a Brand Manager: Develop yearly product strategy based on key brand initiatives, consumer insights, and entertainment strategy. Lead

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Location: Berlin, Hamburg or London Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are leading the future of autonomous mobility in Europe and are now hiring a Partnership Manager - Autonomous Vehicle to drive AV partnerships for Freenow by Lyft, working across the AV ecosystem in multiple countries. You will manage European partner relationships end-to-end, cultivate a pipeline of new opportunities, and ultimately help establish Lyft as the region's preferred AV commercialisation partner. This highly collaborative, fast-paced role offers significant autonomy, a chance to decisively shape an emerging industry, and a position as Lyft's most senior AV partnership presence in Europe. The ideal candidate brings a proven track record of owning complex, ’first of a kind’ multi-party commercial relationships, from initial deal structuring through long-term growth. Prior experience in the European mobility or automotive ecosystem is a plus. You are an expert communicator, able to confidently manage complex negotiations and operate at the executive level with diverse partners across different cultures and geographies. You excel at building trusted relationships from scratch, navigating ambiguity, and driving critical deals forward with minimal day-to-day oversight. Be ready to work at the cutting edge of mobility in a multinational, diverse, highly motivated and collaborative team of passionate professionals who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Own Lyft Europe’s AV partner relationships end-to-end, serving as the primary external point of contact for partner leadership in the region Steer negotiations across our partnerships, coordinating input from cross-functional specialists and navigating complex commercial structures Lead European top-of-funnel origination, identifying, qualifyi

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin