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We're looking for an Engineering Manager to lead the Agent Context team in NYC. This team owns how Asana's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding pipelines, ranking systems, and evaluation frameworks that determine whether every AI experience at Asana is trustworthy or not. Your mission is to make retrieval comprehensive, reliable, and fast at enterprise scale, positioning Asana as the coordination and memory layer for the agentic enterprise. This is a high-leverage platform role: nearly every AI product at Asana - AI Teammates, chat experiences, agentic workflows depends on the systems this team builds. You will manage a team of senior engineers in New York collaborating daily with partner teams in San Francisco and Warsaw, and work alongside a dedicated Product Manager as your direct counterpart. This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. What you'll achieve Own the technical direction and delivery of Asana's retrieval stack end to end: lexical and semantic search, dense embedding generation and backfill at scale, chunking and ranking strategies, and RAG comprehensiveness across the work graph. Build and operate the evaluation infrastructure that makes retrieval quality measurable recall/precision benchmarks, offline and online evals, and comparative testing across retrieval backends - so quality decisions are made with data, not vibes. Drive the cost, performance, and quality tradeoffs that define this space: when semantic search earns its infrastructure cost over lexical, how to hit latency targets without sacrificing recall, and how retrieval improvements compound into cheaper, faster downstream LLM calls. Set and enforce the bar for how other teams at Asana integrate with retrieval: clear ownership of embedding decisions, rollout g

Requirement Senior Cook We are looking for an experienced Senior Cook with expertise in multiple food preparations and strong knowledge of food cost control. Required Skills South Indian cuisine la carte menu preparation Sweets and desserts Snacks and starters Food cost control and portion management Menu planning and ingredient utilization Maintaining food quality hygiene and safety standards The candidate should be capable of handling multiple food preparations independently controlling food costs minimizing wastage and maintaining consistent taste and quality. Address: Nayara Energy-Golden Oil Club, RAJKOT DWARKA HIGHWAY, JAMNAGAR Facility: NAYARA ENERGY-GOLDEN OIL CLUB Qualification: 12th Experience: 5 - 7 years Source: Sodexo India | Job Code: IJP584987

About the Team The Risk & Insurance team at DoorDash is building the next generation of insurance capabilities for the company from the ground up. Insurance is one of DoorDash’s largest cost of revenue items, making this a highly impactful area with meaningful influence on the company’s bottom line. We partner across insurance, operations, and product development to create solutions that improve safety, reduce costs, and support long-term growth. This is a fast-evolving space with the opportunity to help shape new programs from early concept through launch and scale. We are looking for forward thinkers who are excited to build in a zero-to-one environment and work closely with cross-functional teams across DoorDash. About the Role We’re hiring a Senior Associate, Insurance S&O to help drive the operational, analytical, and cross-functional work needed to launch and scale multiple insurance initiatives in parallel. This person will support go-to-market execution through experiment management, reporting, vendor and procurement follow-through, and day-to-day program management, helping the team translate insights into product adoption and business impact. You will report into the Insurance Strategy & Operations lead on our Risk & Insurance team. You’re excited about this opportunity because you will… Run high-velocity operational tests and pilots that generate insights and help shape new products and programs from zero to one. Partner with Analytics and cross-functional teams to track performance, synthesize learnings, and inform go-to-market decisions. Support execution across a portfolio of insurance initiatives as they move from early concept through launch and scale. Coordinate with internal teams and external partners to drive vendor readiness, procurement follow-through, and operational launch execution. Help build the processes, reporting, and operating rhythm needed to support growth, including international expansion. We’re excited about you be

Job Details: Job Description: Intel Foundry Capacity and Strategic Planning is responsible for ensuring the right capacity is available at the right place, time, and cost to support customer commitments and business objectives across Intel's manufacturing network. This role drives strategic capacity planning across multiple technologies, sites, and planning horizons, enabling informed decisions that support growth, profitability, and operational excellence. The successful candidate will partner closely with Factory General Managers, Manufacturing Leadership, Technology Development, Finance, Supply Planning, and Operations teams to develop executable capacity strategies, evaluate business tradeoffs, and influence critical investment and operational decisions. Key Responsibilities Lead long-range capacity planning, scenario development, and supply-demand analysis across Intel's manufacturing network. Develop capacity strategies and recommendations that balance customer demand, factory capability, capital investments, and financial objectives. Drive tradeoff analyses involving capacity, capital, technology transitions, factory space, and network optimization. Partner directly with Fab Managers and manufacturing leadership to ensure plans are executable and aligned with factory realities. Identify capacity risks and opportunities and develop mitigation strategies to support business objectives. Prepare and deliver executive-level presentations, business cases, and strategic recommendations for senior leadership and executive reviews. Translate complex analyses into concise and compelling business insights that drive enterprise-level decisions. Lead cross-functional initiatives and influence stakeholders across Manufacturing, Technology Development, Finance, Supply Planning, and Foundry organizations.<b

Become a part of our caring community The Senior Business Systems Analyst performs analysis of business, process and user needs, documentation of requirements, cost/benefit analysis and translation into proper system requirement specifications. This position works on assignments involving moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Business Systems Analyst formulates and defines systems and objectives based on both user needs and a good understanding of applicable business systems and industry requirements. Devises or modifies procedures and processes to solve complex problems considering computing capacity and limitations, operating time, and form of desired results. Validates benefits achieved from solution implementation. Begins to influence department's strategy. Make decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. The Senior Business Systems Analyst will support business-critical initiatives across OneHome’s business operations, including platform modernization, operational enhancements, production support, and regulatory changes. Serving as a key liaison between business and technology teams, this role will translate business needs into clear requirements and help deliver effective, scalable solutions that achieve business objectives. This role will build deep knowledge of OneHome’s business processes, technology platforms, data flows, and integrations while partnering with Operations and Technology teams to drive transformation and continuous improvement. Key responsibilities include requirements analysis and management, process optimization, testing coordination, production

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Join Tenstorrent’s AI IP software team and help customers bring AI workloads to products built on Tenstorrent technology. In addition to building our own hardware platforms, Tenstorrent offers AI acceleration IP that customers can integrate into their own SoCs. You’ll work directly with those customers to help bring models into Tenstorrent workflows, answer technical questions, and solve integration challenges. This is a broad, hands-on software role spanning models, compiler and runtime workflows, and AI IP. This role is hybrid, based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A strong software engineer who enjoys working across a broad technical stack and learning new tools and workflows quickly. You have a working understanding of machine learning fundamentals and common model architectures, especially computer vision models and large language models. You don’t need to be an ML researcher or an expert in every architecture. A practical problem-solver who can turn customer questions and ambiguous requirements into clear investigations and workable solutions. A collaborative communicator who enjoys workin

This team owns what it takes for an organization to trust the AI it runs in production, from the GPU infrastructure that trains and serves models, to the agents and LLM systems built on top of it, to the cost and return those systems deliver to the business. When something fails, this team's work explains why and shows how it's affecting the outcomes customers actually care about. It's a fast-moving space with few established patterns, which gives this team real room to define what best-in-class looks like. As Senior Design Manager, you'll lead a team of four designers across these three connected product areas, going deep enough on the domain (AI training and development workflows, evaluations, GPU infrastructure, agent debugging) to raise the quality bar, sharpen the product point of view, and mentor the team already doing this work. This is a leadership role built around modern, AI-native design practice: you'll lead and grow a team that builds directly in code rather than handing off static mocks, and you should have the capability to prototype and ship yourself where it has the most impact. What You'll Do: Go deep on the domain (AI training/development workflows, evals, GPU infrastructure, agent debugging) to the point of having independent, well-informed points of view Drive end-to-end product experiences across Agent Observability, GPU Monitoring, and Agent Console, ensuring coherence across the three surfaces Prototype and ship directly in code where it has the most impact, to demonstrate direction and quality, not as a substitute for the team's own execution Lead and coach a team of four designers, raising their craft, product thinking, and fluency building with AI-native tools Conduct regular 1:1s and career conversations; foster psychological safety and a culture of continuous improvement Partner with Product and Engineering leadership to shape strategy, prioritization, and roadmap direction Set and maintain a high bar for design quality across all output

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, a

To manage techno-commercial procurement activities for plant operations by sourcing materials and services, negotiating with vendors, evaluating technical and commercial offers, and ensuring timely procurement at optimum cost while complying with company policies and procedures. Source: Adani Group | Job ID: 59662

To manage the end-to-end procurement process for assigned categories/materials by ensuring timely sourcing, vendor management, purchase order execution, cost optimization, and adherence to procurement policies. The role is responsible for maintaining uninterrupted supply while achieving quality, cost, and delivery objectives. Source: Adani Group | Job ID: 58246

NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. We are seeking a hands-on, platform-minded engineer to build and evolve the systems that turn distributed infrastructure telemetry and operational data into reliable, governed data products. You will work across ingestion, transformation, data quality, platform architecture, security, observability, and self-service consumption to help make Navigator and the DGXC data platform a dependable source of truth. We do expect strong engineering fundamentals, experience operating production systems, and the ability to learn new platforms and domains quickly. What you'll be doing: Own systems end to end. For example, work from ambiguous customer and operational needs through architecture, implementation, deployment, observability, incident response, and ongoing support. Construct data pipelines and products. Such as designing and maintain batch and streaming ingestion, transformation, reconciliation, and serving paths for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Build shared libraries, workflow and DAG or equivalent experience abstractions to evolve the data platform. Develop deployment tooling, data

About the Team: Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure. What You'll Do: Own systems end to end — design them, build them, and support them in production. Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you. Sit with the people who use what you build, and turn what you learn there into a system. Design the service boundaries, contracts and schema evolution that let our platforms grow without breaking the teams depending on them. Make our AI systems dependable in production: evaluation harnesses, human approval steps before an agent acts, retries that handle a model returning something unexpected, and cost tracking that tells you what a task costs before you run it. Build what other engineers build on — agent skills, tool and MCP integrations, shared libraries — and raise the bar through code review, design discussion and mentoring. Spot the platform work nobody has asked for yet, make the case for it, and build it. Your Background: 5+ years of professional experience building and operating production systems, from design through production ownership. A system you designed and can walk us through end to end — where its boundaries sit, what constrained it, and what you chose against. Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement. You have owned a service in production: you wrote the runbooks, you knew what it cost, and you were the one paged when it broke. Expe

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position As a Senior Data Engineer at Formation Bio, you will build the trusted data systems that support clinical operations, drug asset evaluation, business development, analytics, and machine learning through AI Enabled Employees and Agents. You will work across clinical, operational, and third-party data sources to design and operate reliable ingestion pipelines, transformations, data models, and data products. This role sits at the intersection of Product Engineering, Data Engineering, and Data Science. You will help shape how application data is model

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position As a Senior Software Engineer at Formation Bio, you will build high-leverage software across the org. You will turn ambiguous problems into products and systems that help people, applications, AI Enabled Employees, and Agents make better decisions and move faster. This is an AI-native engineering role. You use modern AI and agentic development tools as a core part of how you explore, build, test, and operate software. You will also help create software that incorporates AI responsibly, with the interfaces, data access, evaluation, and operational c

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position As a Senior Site Reliability Engineer at Formation Bio, you will build and operate the infrastructure, delivery systems, and operational practices that allow our engineering organization to ship reliable software quickly and safely. You will work across cloud infrastructure, developer platforms, observability, and production workloads, including product applications, internal tools, data systems, and ML and AI workloads, taking problems from initial diagnosis through implementation and production adoption. Formation Bio is an AI-native engineering