Product Lead in United States

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere is building a Communications team worthy of a world-class technical organization, and Corporate Communications is at the center of that ambition. We're looking for a Director, Corporate Communications to own and evolve Cohere’s narrative globally as we grow to become the transatlantic leader in sovereign AI. This is a rare opportunity to build a comprehensive Corporate Communications function at a fast-growing company in the most dynamic space in technology. In this cross functional role, you will oversee critical functions including corporate, executive, policy, internal, crisis, and enterprise communications. You'll create the communications strategy that fuels our growth among governments and enterprises in the most highly-regulated industries. You’ll partner directly with C-Suite executives, nurture how we talk to customers, partners, and employees, and most importantly - build and lead a high-performing team that thrives off collaboration and scrapiness. This is a role for someone who likes to take big swings – and have fun doing it – where no job is too big or too small. As Director, Corporate Communi

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Who are we? Cohere is at the forefront of AI innovation, building cutting-edge language models and AI systems. Our Finance team plays a critical role in supporting our rapid growth and ensuring operational excellence. We value technical expertise, collaborative problem-solving, and a commitment to accuracy and compliance. This role offers the opportunity to make a significant impact on our financial infrastructure while working at the intersection of finance and transformative technology. As we scale our business and navigate an evolving financial landscape, you'll play a pivotal role in driving operational excellence and serving as a key partner on accounting implications of major business decisions. In this role, you will: Own the full lifecycle management of our NetSuite ERP environment, including architecture design, configuration optimization, integration development, and strategic roadmap planning to support General Ledger, AP, AR, Procure-to-Pay, Fixed Assets, Revenue Recognition, Audit, and International Consolidations & Reporting Drive end-to-end process excellence across Order-to-Cash and Procure-to-Pay workflows,

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting t

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Who are we? Cohere is at the forefront of AI innovation, building cutting-edge language models and AI systems that are transforming how businesses operate. Our Finance team plays a critical role in supporting our rapid growth and ensuring operational excellence in this dynamic environment. We value technical expertise, collaborative problem-solving, and a commitment to accuracy and compliance. This role offers the opportunity to make a significant impact on our financial infrastructure while working at the intersection of finance and transformative AI technology. As we scale our business and navigate an evolving regulatory landscape, we’re seeking an experienced Internal Audit and SOX Compliance Manager to join our Finance team reporting to the Global Controller. This role requires a strategic thinker who can oversee documentation of our internal control framework and ensure our governance practices align with our innovative AI-driven business model. In this role, you will: Own the enterprise SOX business process control framework, including scoping, risk assessment, control design standards, and documentation requirements acros

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the data infrastructure behind some of the most demanding AI training workloads in the world, and we want sharp, curious people to help us do it. In this role, you'll build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs. As a Software Engineer, Data Infrastructure, you will: Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. Collaborate daily with researchers and engineers who are some of the best in the world at what they do. You may be a good fit if you have: 4+ years of experience working on data storage infrastructure Strong command of Python Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.) The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt Genuine excitement about AI.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line. As a Data Engineer, you will: Work directly on new customer experiences built on one of the most advanced AI systems in the world Collaborate daily with researchers and engineers who are some of the best in the world at what they do Run implementations end-to-end and see initiatives through to real outcomes Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy You may be a good fit if you have: 5+ years of experience working on production-grade data processing systems Strong command of Python and SQL Experience with distributed data processing frameworks such as Apache Beam, Spark, or

What you’ll do Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability. Own core runtime foundations: distributed control, state management, fault handling, and reliability. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints). Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress. What we’re looking for Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products. Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering). Track record of shipping systems that are observable, debuggable, and resilient. Strong technical leadership: clarity, pragmatic trade-offs, and mentoring. Useful experience Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling. High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review. Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior. Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI. Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The residency You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you. The problem space The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop. Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences. Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models. Environments and rewards. Turning enterprise workflows into training and eval environments: fi

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 Forward Deployed Infrastructure Engineers (FDIEs) build, operate, and maintain the infrastructure that powers Palantir’s platforms and production deployments. As an FDIE intern, you’ll work alongside full-time FDIEs to deploy and operate Palantir software across real production environments, automate manual processes, and develop novel solutions to infrastructure challenges using tools like Foundry and Apollo. Every day looks different — you might be debugging a distributed systems issue, building automation to replace a manual runbook, or designing infrastructure improvements that scale across multiple deployments. You’ll be treated as a full member of the team, with real ownership over the work you take on. Core Responsibilities As an FDIE intern, your responsibilities look similar to those at a small startup, with the resources, stability, and mentorship of an established tech company. You’ll work in small teams with minimal supervision and own end-to-end execution of real infrastructure projects. Your day might span discussing systems architecture with fellow engineers, debugging a production issue, building automation to eliminate a manual process, or deploying new Palantir products across production environments. FDIE interns are treated just like full-time engineers, with significant freedom and ownership over their work. Specifically, you can expect to: Deploy and operate Palantir software across production environments, including monitoring, alerting, configuration management, and upgrades Debug, improve, and optimize Palantir’s services and infra

POSITION SUMMARY: The Manager, Clinical Lab is a key leader in Natera’s lab operations who oversees and directs the development, planning, implementation and maintenance of manufacturing methods, processes and operations for new or existing products and technologies. The Manager works closely with groups to ensure strict compliance with good manufacturing practices and CLIA/CAP guidelines at all times. Ensures the effective use of materials, equipment and employees in producing quality products. Monitor and control staffing / labor, capital expenditures, and manufacturing performance. Develops budget and monitors expenditures. Formulates and recommends manufacturing policies, procedures and programs. Selects, develops and evaluates line-management to ensure the efficient operation of the function. PRIMARY RESPONSIBILITIES: Under the direction of Senior lab leadership, and in close collaboration with other Laboratory leadership, this individual provides operational and strategic leadership to laboratory products assigned to the individual. Generates and routinely provides executive-level production/departmental summaries. Monitors workflow and ensures production goals and deadlines are met (e.g. TAT, SLA) Engages in future planning and scales employees and equipment appropriately Gathers and monitors metrics on production deadlines, efficiency, scrap waste, and error rates Monitors the quality control/assurance programs, test results, and equipment (if applicable) Uses metrics in decision-making and to drive changes across the team (e.g. cost reduction, quality improvement) Manages sufficient headcount levels to meet production goals by proactively driving the interview process and managing employee PTO and overtime when necessary. Refines current lab process through continuous improvement projects. Oversees team-specific lab operations. Go-to person when Senior lab leadership is not present; go-to person for knowledge of pr

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives, spanning AI research specialists, silicon designers, software engineers and systems architects. Job Summary We are looking for an experienced Principal Engineer to join our System Management team and help lead the development of critical interfaces used by internal and external customers to manage system state. You will provide technical leadership within assigned areas of System Management, guide architecture and implementation choices, mentor engineers and translate broader technical direction into effective execution. This is a hands-on engineering role for someone who can lead complex technical work, improve reliability and operational readiness, and collaborate effectively across multiple engineering disciplines. The Team The System Management team sits within the Software Platform group and helps build Graphcore products into large-scale AI solutions for our customers. The team is responsible for developing the interfaces between hardware, AI software and frameworks, as well as providing interfaces for public and private cloud environments. This includes system management capabilities that abstract complex hardware administration and enable reliable deployment and operation at scale. As one of the first teams to work with new hardware and software, we regularly solve complex system-level problems

About the Role We are seeking a senior Treasury Markets leader to build and lead OpenAI's investment management, FX, interest rate risk management, and debt markets capabilities. This role will own corporate liquidity investment strategy, global currency risk, rate exposure, and the design of market-risk programs across rates, FX, liquidity, counterparty, and other Treasury exposures. The ideal candidate combines CFA-level investment discipline, hands-on derivatives and capital markets execution, strong tax and accounting fluency, and exceptional executive communication. They should be able to translate complex market, hedge, liquidity, capital structure, credit market, rating agency, tax, accounting, risk, and governance topics into crisp executive-ready recommendations, decision memos, and Board-level materials. In this role, your responsibility will include: Investment Management Own investment strategy for corporate cash and liquidity portfolios, balancing capital preservation, liquidity, yield, diversification, counterparty risk, accounting, tax, and regulatory considerations. Lead portfolio construction, investment policy governance, risk monitoring, performance reporting, manager/counterparty oversight, and compliance for corporate investment portfolios. Maintain market intelligence on rates, credit, liquidity markets, fixed income products, external manager performance, and emerging portfolio risks. FX & Cash Flow Hedging Design and operate FX balance sheet and cash flow hedging programs that align exposure management, hedge objectives, accounting treatment, tax considerations, controls, and business needs. Manage FX and derivatives activity across global operations, including exposure analytics, hedge strategy, trade execution, counterparty management, effectiveness tracking, and reporting. Partner deeply with Accounting, Tax, FP&A, Legal, and business leaders to improve exposure visibility and ensure hedge programs are operationally controlled and

About the Role The AI Deployment Manager (ADM) - Pilots is a customer-facing role responsible for leading structured, time-bound enterprise AI pilots from initial scoping through final executive readout. This role is focused on helping customers evaluate OpenAI’s products in real-world contexts, identify high-value use cases, and generate clear, decision-ready signals tied to business value. You will design and lead pilot engagements that drive activation, sustained usage, and measurable impact across ChatGPT Enterprise, Codex, and adjacent workflows. This includes partnering with customer stakeholders to define success criteria, guiding users from experimentation to real adoption, and translating pilot outcomes into clear recommendations that support expansion or purchase decisions. This role requires strong judgment, the ability to operate in ambiguity, and a consistent focus on connecting technical capabilities to business outcomes. You will regularly engage both executive stakeholders and working teams, adapting your approach to meet customers where they are and move them forward. In this role, you will: Own the design and execution of enterprise AI pilots, including scoping, cohort definition, and success criteria aligned to a clear commercial decision. Identify and prioritize a small set of high-impact use cases that can generate credible signal within a 30–45 day pilot. Drive activation and sustained engagement across pilot cohorts through targeted enablement, office hours, and workflow-level coaching. Monitor pilot performance and adapt in real time, diagnosing gaps in engagement, use case traction, or stakeholder alignment. Translate pilot signals into clear, executive-ready recommendations, including whether and how the customer should expand. Navigate customer constraints such as security, data access, and competing tools while maintaining pilot momentum. Partner closely with ADs, SEs, and customer stakeholders to align on scope, risks, and next steps. Ca

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are continually innovating to deliver new and creative, unusual solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed to making a difference in the world through their contributions! This position will collaborate with Technical Package Lead and different design teams in the design and development of sophisticated, detailed layout of IC substrates for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues. What you'll be doing: As part of a Layout team, you will collaborate to implement high speed/density ASIC packages. Perform substrate breakout patterns for ASIC packages. Optimize package pinout incorporating system level trade-offs of pins assignment. Help perform package routing, placement, stack-up, reference plane and power distribution using Cadence APD or SiP tool suite. Propose layout design trade-offs to the Technical Package Lead for resolution and implementation. Conduct design feasibility studies to evaluate the Package design goals for size, cost, and system performance. Develop symbols and CAD library databases using Cadence APD design tools Develop methodologies to improve layout productivity What we need to see: Hold a B.S. Electrical Engineering or equivalent experience 5+ years experience in PCB Layout of graphics cards, motherboards, line cards or other related technology. Experience with HDI designs is a plus Proven experience in substrate layout of wire bond and flip chip packages, preferred Significant background with Cadence AP

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking a Principal Analog Design Engineer to lead the design, integration, and delivery of advanced analog and mixed-signal IPs for High Bandwidth Memory (HBM) products. This role is critical in developing and integrating high-performance analog subsystems within the HBM logic die, enabling industry-leading bandwidth, power efficiency, and reliability. As a principal engineer, you will provide deep technical leadership across analog design, IP integration, system alignment, and silicon execution, driving end-to-end success of HBM solutions. Responsibilities will include, but are not limited to: Lead the d esign and own critical HBM analog circuits, including: High ‑ speed transmitters and receivers Clock generation and distribution (PLLs, DLLs, CDRs) SerDes ‑ related analog blocks Biasing, reference, and calibration circuits