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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. The Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

About the Team The Transportation team, part of OpenAI's Real Estate & Workplace (REW) organization, supports programs that help employees move efficiently, safely, and reliably across offices and regions. The team partners closely with internal stakeholders to improve the employee transportation experience and ensure transportation considerations are incorporated into broader workplace planning. About the Role As a Business Operations Partner, Transportation Program, you will help strengthen how the Transportation team works across the company. You will focus on cross-functional coordination, stakeholder support, communication, and operational follow-through. We're looking for people who enjoy solving problems, building relationships, bringing order to ambiguity, and helping teams operate effectively. You will serve as a trusted partner to internal teams, help surface and organize feedback, connect stakeholders to the right resources, and improve visibility across transportation priorities. 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: Build strong working relationships across REW, including Events, Design & Construction, Food, Security, Facilities, and Workplace Operations. Partner with teams across the company to understand transportation-related needs, coordinate next steps, and ensure transportation considerations are reflected in broader workplace planning. Represent the Transportation team in meetings, planning discussions, and cross-functional initiatives as needed. Gather input, questions, and feedback from employees and internal partners, summarize nuanced issues clearly, and route requests to the appropriate owner, resource, or process. Track open items and help ensure timely follow-up across stakeholders and team priorities. Support internal team planning through trackers, documentation, notes, timelines, and action ite

About the Team We’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models reliably, efficiently, and safely across Codex, ChatGPT, API, and internal research workloads. We’re hiring a Developer Productivity Engineer to help scale the engineering systems, safeguards, and developer workflows that enable our teams to move quickly without compromising reliability or performance. This role sits at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. You’ll work on the tooling and operational foundations that support model launches, inference optimizations, cloud provider integrations, and large-scale deployments across a rapidly evolving inference stack. About the Role We’re looking for an autonomous, high-ownership engineer who cares deeply about making other engineers faster, safer, and more confident. A major focus of this role will be improving the tooling and infrastructure around deploy gates for inference engine images. These systems help ensure that every image released to production and research is correct, numerically sound, free of regressions, and performant across key metrics like time-to-first-token (TTFT) and time-between-tokens (TBT). You’ll help harden the systems that catch issues before they reach production, reduce noise from flaky or infrastructure-related test failures, and improve automation around triage, ownership, debugging, and escalation when failures occur. You’ll also work on improving observability, rollout safety, release automation, and developer self-service tooling across a rapidly evolving inference stack. This is not generic internal tools work. The systems you build directly impact OpenAI’s ability to support new model launches, safely ship inference optimizations to the world, onboard new infrastructure providers, and operate one of the largest and most p

About the Team: The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. We design and operate the systems that power model serving, API access, billing, developer tooling, and enterprise integrations—forming the connective tissue between OpenAI’s research breakthroughs and real-world products. Our mission is to make it effortless for anyone to build with OpenAI technology. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate GPT models, fine-tune behavior, manage data, and deliver transformative experiences to their users. We collaborate across product, research, and engineering teams to ensure that innovation in model capabilities translates directly into value for customers. The API team spans multiple disciplines, including product management, infrastructure engineering, developer experience, and data systems. We care deeply about reliability, scalability, and simplicity—creating tools that let developers focus on their ideas while we handle the complexity of running world-class AI systems. About the Role: We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance and leadership to deliver high-trust, enterprise-grade 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 n

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. About the Role As Maintenance Lead, you’ll play a central role in keeping our fulfilment operation running safely, efficiently and reliably. Working closely with the Engineering and Facilities Site Manager, you’ll lead the site’s planned and reactive maintenance activity while shaping the technical agenda and building a culture of continuous improvement. This is a high-impact leadership role for an experienced engineer who enjoys balancing the demands of a fast-moving operation with the opportunity to develop long-term reliability strategies. You’ll use modern maintenance systems and techniques to improve equipment availability, reduce recurring failures and help our engineering teams perform at their best. What you’ll be doing Support the development and delivery of the site’s maintenance strategy. Lead a reliability-focused approach using TPM, RCA, RCM and FMEA. Deliver monthly improvement plans that increase equipment reliability and availability. Use CMMS data and failure analysis to identify root causes and deliver lasting solutions. Coordinate the response to live plant issues, ensuring risks are managed and actions are followed through. Own effective weekly and monthly maintenance planning, including preventative maintenance compliance and backlog management. Monitor, analyse and report weekly and monthly KPIs, ensuring results are shared with key stakeholders. Coordinate planned maintenance outages and engineer

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Recruiting depends on systems that work reliably for recruiters, hiring managers, interviewers, and candidates. The Recruiting Systems Operations Administrator helps keep those systems running and improves the support experience around them. You’ll work closely with Recruiting Operations, Global People Operations, and People Systems. This role supports a clear division of work between routine service delivery and the system governance, integrations, complex configuration, and strategic work owned by Recruiting Systems. What you’ll do Working CDMX business hours while partnering across Americas time zones, you’ll manage a defined Tier 2 Recruiting Systems portfolio. You’ll troubleshoot tool issues, resolve requests, track recurring problems, and partner with People Systems on improvements. This hands-on role is well suited to someone who enjoys working across systems, applying sound judgment within established processes, and making complex operations easier for others. Responsibilities Manage and resolve Tier 2 support requests through established channels, maintaining clear requester updates, case records, and handoff notes Troubleshoot recruiting systems, including DocuSign, Gem, LinkedIn Talent Insights, HackerRank, Harver, BrightHire, Qualtrics, Eightfold, Greenhouse, and related platforms Process recruiting workflow requests, including assessment updates, job-posting changes, candidate-record updates, approved offer amendments, requisi

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Location : Bengaluru (On-site) + multi-city coordination Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it all running at quality and scale. Role Overview The Finance Associat

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for an experienced, fluent Japanese speaking Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible for In this role, you’ll: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and tailored advice to our most advanced users. Reproduce bugs, isolate root causes, propose workarounds, and escalate to engineering with solid repro steps. Ask smart, targeted questions that turn incomplete reports into actionable cases. Communicate clearly and empathetically with customer users of all levels—especially during high-impact or time-sensitive situations. Spot patterns across tickets and recommend improvements to docs, tooling, and the product itself. Mentor junior team members and help raise the overall bar for support quality. You Might Be a Good Fit If You You have 6+ years in technical support, backend engineering, SRE, or similar. You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. You’re strong in high-performance SQL and query optimization. You’re comfortable troubleshooting complex setups, including multi-tenant schema patte

We anticipate the application window for this opening will close on - 1 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life This role supports laboratory operations through the maintenance, calibration, qualification, and troubleshooting of analytical instrumentation used in regulated testing environments. The team is responsible for ensuring laboratory equipment performs accurately and reliably while supporting compliance with Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP), and internal quality requirements. Responsibilities include preventive maintenance, calibration management, instrumentation documentation, vendor coordination, and continuous improvement of equipment processes and procedures. This position is located at the Rice Creek Campus in Fridley, Minnesota and is an onsite role requiring regular presence within the laboratory environment. No travel is required. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 5 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. Responsibilities may include the following and other duties may be assigned: Perform r

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are a global team of innovators shaping the future of observability. Our intelligent platform gives customers real-time insight into complex systems so they can innovate faster and operate reliably in an AI-first world. If you’re excited by high-throughput distributed systems and want to contribute to one of the largest and fastest-growing observability platforms, we’d love to hear from you. Join a backend engineering team focused on building and operating JVM-based services that ingest, process, and serve massive volumes of telemetry data. You’ll work on high-scale, low-latency systems that power mission-critical observability features used by engineers worldwide. What you'll do Design, build, and operate JVM-based microservices (primarily Java and Kotlin) with a focus on performance, scalability, and reliability. Own services end-to-end: architecture, implementation, deployment, monitoring, on-call participation, and continuous improvement. Apply strong concurrency and performance practices: asynchronous programming, backpressure, efficient I/O, memory management, and GC tuning. Build and evolve event-driven systems; work with Kafka for streaming, partitioning, consumer groups, and schema evolution.Instrument services for deep observability (metrics, logs, traces), define SLIs/SLOs, and use e Experience with Kafka or similar streaming technologies (topic/partition strategy, consumer lag, idempotency, schema compatibility) strongly preferred. Proficiency w

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for an experienced Staff Software Engineer in Test to join our Identity Management Engineering (IDM) team serving the Privileged Access Team (PAM). This team is passionate about delivering large-scale, mission-critical software in a fast-paced Agile environment. In this role you'll be working with a team of highly-skilled and talented engineers, responsible for delivering sophisticated backend solutions that help Okta reliably operate at large scale and be highly available. As part of the team, you’ll be ensuring projects are completed with the highest quality and reliability using automation at every level for fast, robust and secure releases. Job Duties and Responsibilities: Review requirements and design specs to develop relative test plans and test cases Automate API tests, end-to-end tests, reliability/scale tests Work with engineering management to scope and plan engineering efforts Communicate and document QE plans for scrum teams to review Review application code, identify bug and other areas of weakness, architect tools for future coverage Automate all critical features to maintain zero-debt cadence Release features with solid quality Respond to production issues/alerts and customer issues during on-call rotation Be a strong customer advocate with a strong quality DNA. Requirements: 5+ years of QE experience preferably in an enterprise SaaS company 3+ years experience in quality engineering for enterprise level software. 5+ yea

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. 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: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Mechanical Engineer is responsible for end-to-end hardware ownership of components and sub-systems for the KARNO generator, taking designs from CAD through prototype, test, and validation. Working across mechanical, electrical, software, and performance teams, this role designs and troubleshoots complex thermal and mechanical systems that must perform reliably across extreme operating environments and a wide range of fuels. The position exists to advance the development of Hyliion's fuel-agnostic power generation technology through hands-on, test-driven engineering and disciplined design execution. Duties and Responsibilities Own hardware components and sub-systems end-to-end—from concept through durability, manufacturability, serviceability, cost, weight, and validation—taking designs from CAD to hardware running on a test stand. Design components and sub-systems that must survive extreme thermal environments, perform across a wide range of fuels (20+), and push the boundaries of metal additive manufacturing. Create 3D models in NX and generate 2D prints with full GD&T per ASME Y14.5. Perform design checking and print review to ensure tolerances, processes, and material specifications align with Hyliion's GD&T standards (ASME Y14.5). Conduct fluid and thermal systems design and optimization. Perform structural and thermal FEA (ANSYS or equivalent). Install, calibrate, and read instrumentation for pressure, temperature, flow, strain, and acceleration in lab environments. Execute prototype build, test, and validation cycles early and often to identify and resolve issues in the lab rather than the field. Collaborate cross-functionally

Job Overview: We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end-to-end solutions across RAG, function/tool calling, multi-agent coordination, and scalable deployment. Key Responsibilities Design and implement agentic systems: single-agent and multi-agent architectures (planner/executor, supervisor-worker, routing, reflection, critique, task decomposition). Build robust tool-using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing. Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long-term memory, and grounding/citation behaviors. Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible. Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization. Establish agent evaluation: golden sets, simulation-based evals, LLM-as-judge with mitigations, task success metrics, regression testing. Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement. Collaborate with product, security, and platform teams to deliver enterprise-ready solutions and integrate with internal systems (data, identity, workflow). Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps. Required Qualifications 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production. Strong programming skills in Python (required) and/or TypeScript/Node.js. H