Buyer, Products

🏢 Summary: Procurement Manager role focused on sourcing, purchasing, and supplier management for switchboard components in a fast-paced manufacturing environment. The position owns end-to-end procurement operations including RFQ processes, contract negotiations, PO management, risk mitigation, and commodity strategy. The role offers competitive compensation, equity, comprehensive benefits, and direct impact on production performance. 🗂️ Requirements: 5+ years in procurement, sourcing, or commodity management, Experience in electrical, industrial, or metals-based manufacturing, Experience buying metals, busbars, or electrical/electronic components, Hands-on experience with RFI/RFQ processes, Experience negotiating supplier contracts, Experience issuing and managing purchase orders, Track record managing long lead-time and supply-constrained categories, Strong negotiation skills with measurable cost reduction results, Experience with ERP/procurement systems, Ability to read BOMs and component specifications, Strong written and verbal communication, Ability to work cross-functionally with Engineering, Quality, and Operations 📃 Skills: Procurement, Sourcing, RFQ, RFI, ERP, BOM, Negotiation, Metals, Busbars, Electronics, Contracts, Purchasing, Reporting 🏢 Description: Why join Giga The Pace: We're building at a speed most companies talk about but never actually operate at. If you've been bored somewhere else, you won't be here. The Impact: Every person at Giga touches the work that matters. No layers, no waiting for approval chains. You'll see your fingerprints on what we ship. The Team: A team of operators defining the future of AI infrastructure. We recruit A-players from the most innovative companies in the world, and they choose Giga because the work here means more. The Moment: AI doesn't run without power, and that's us. Giga is the picks and shovels behind the AI revolution. This industry is about to explode, and you'll be in the room where it's already happening. What you'll do The Procurement Manager for the Switchboard category owns the end-to-end buy for everything that goes into a switchboard — metals, busbars, electrical components, and subassemblies. You will run supplier sourcing and negotiations, place and manage purchase orders to keep production on schedule, and build the category strategy that drives cost down and delivery performance up over time. This role is central to keeping our switchboard line fed with the right parts, at the right cost, on time. Where you'll work This role is based out of our Long Beach location. Responsibilities Order Execution & Delivery - Place and manage purchase orders for metals, busbars, electrical components, and switchboard subassemblies to maintain tight delivery timelines - Track open orders and supplier commitments; expedite as needed to prevent production line disruptions - Own on-time delivery performance for the switchboard category and drive corrective action when suppliers miss commitments Sourcing & Negotiation - Run the RFI/RFQ process for new and existing components — metals, busbars, electrical components, and subassemblies - Negotiate component costs, payment terms, and supplier contracts to meet category cost targets - Identify, qualify, and onboard new suppliers to strengthen the switchboard supply base - Draft and manage supplier contracts, including terms, pricing schedules, and volume commitments Risk Management - Manage risk on long lead-time items — build buffer strategies, alternate sourcing, and early-warning tracking to avoid shortages - Monitor supply base health and flag single-source or capacity risks before they impact production - Partner with Quality and Engineering on supplier qualification and component substitutions when risk requires it Commodity Strategy & Performance - Build and maintain the commodity strategy for the switchboard category — sourcing roadmap, supplier consolidation, and cost-down initiatives - Track and report supplier performance: on-time delivery, quality, cost, and responsiveness - Drive year-over-year cost reduction through negotiation, should-cost analysis, and supplier competition - Stay current on metals and component market pricing trends to inform buying and negotiation timing Requirements - 5+ years in procurement, sourcing, or commodity management, ideally in electrical, industrial, or metals-based manufacturing - Experience buying metals, busbars, or electrical/electronic components a strong plus - Hands-on experience running RFI/RFQ processes, negotiating supplier contracts, and issuing/managing POs - Track record of managing long lead-time and supply-constrained categories - Strong negotiation skills with a track record of delivering measurable cost reduction - Comfortable working with ERP/procurement systems for PO management and reporting - Ability to read BOMs and component specifications to support sourcing decisions - Strong written and verbal communication; able to work cross-functionally with Engineering, Quality, and Operations Benefits - Subsidized health, dental, and vision insurance - Equity (options) in a rapidly growing startup - 401(k) with 4% employer match - Unlimited PTO - Parental leave - Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA) - Commuter benefits - Team on-sites where all offices come in-person to collaborate Pay Transparency The range provided below is the role's On Target Earnings ("OTE") range, meaning it includes both the commission / bonus target and annual base salary for the role (if applicable). This salary range may be inclusive of several career levels at Giga and will be narrowed during the interview process based on a number of factors, including the candidate's experience and qualifications. Additional benefits include 401(k) plan plus subsidized medical, dental, and vision benefits. Salary Range $150,000—$175,000 USD Who we hire We hire people who thrive in chaos and get sharper under pressure. You don't wait to be told what to do, you spot the gap and fill it. When there's work to be done, you do it. You make decisions with the information you have, move fast, and adjust along the way. We're not looking for perfect; we're looking for people who get things done. Equal Opportunity Employer Statement Giga Energy is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Giga Energy complies with all applicable labor laws, including the California Fair Employment and Housing Act (FEHA) and other relevant state and federal regulations. We provide reasonable accommodations for qualified individuals with disabilities and encourage applicants who require accommodations during the hiring process to contact us.

🏢 Summary: The offer is for a Lead Real Estate Analyst responsible for driving financial and strategic analysis for critical AI infrastructure real estate decisions, including site evaluation, deal structuring, and portfolio performance monitoring. The role partners with development, finance, and operations teams to lead underwriting, market analysis, and transaction execution across multiple concurrent projects. It is a high-visibility, onsite position with direct impact on site selection and investment strategy. 🗂️ Requirements: 3–5 years of experience in real estate transactions, development, or related transaction-oriented role, Proficiency in Microsoft Excel or Google Sheets, Strong knowledge of real estate development fundamentals (title, surveys, permits, lease structures, cap rates, DCF, return on cost, development economics), Ability to synthesize large datasets and present actionable recommendations to senior stakeholders, Experience with complex, multi-party real estate transactions in a fast-paced environment, Bachelor’s degree in Finance, Real Estate, Economics, or related field 📃 Skills: Excel, GoogleSheets, DCF, FinancialModeling, Underwriting, CapRates, ReturnOnCost, MarketAnalysis, Zoning, Entitlements 🏢 Description: Why join Giga The Pace: We're building at a speed most companies talk about but never actually operate at. If you've been bored somewhere else, you won't be here. The Impact: Every person at Giga touches the work that matters. No layers, no waiting for approval chains. You'll see your fingerprints on what we ship. The Team: A team of operators defining the future of AI infrastructure. We recruit A-players from the most innovative companies in the world, and they choose Giga because the work here means more. The Moment: AI doesn't run without power, and that's us. Giga is the picks and shovels behind the AI revolution. This industry is about to explode, and you'll be in the room where it's already happening. What you'll do As Land Acquisition Manager at Giga, you will own the land acquisition, surface rights negotiation, and lease analysis that drives some of the most critical real estate decisions in AI infrastructure. You'll work directly with landowners, surface holders, and third-party brokers to secure the sites that power our development pipeline — while partnering with legal, finance, and operations to structure deals and keep projects moving. This is a high-visibility role where your work directly shapes where and how Giga builds. Where you'll work We are an in-office culture — velocity matters when you're building physical infrastructure, and the best decisions happen in the room. This role is ideally based in our Houston offices, with full-time onsite expectations outside of bi-weekly WFH Fridays. That said, we will make exceptions for truly exceptional talent if you live outside one of our hubs. If you're the right person for this role, we'll have a conversation about what works. Responsibilities Track and manage an active pipeline of real estate and land opportunities, maintaining deal status, key milestones, and financial summaries across multiple concurrent transactions Identify, contact, and negotiate directly with surface owners and landowners to secure access agreements, ROW/easements, ground leases, and purchase contracts Review, interpret, and summarize lease and contract language — identifying provisions that impact site access, development rights, operational constraints, and financial obligations Conduct market research and comparable analyses to evaluate site values, rental rates, and land market dynamics in target geographies Lead financial modeling and underwriting for land acquisitions, ground leases, and build-to-suit developments across Giga's site pipeline Support site selection by synthesizing zoning, entitlement risk, infrastructure constraints, and financial feasibility into clear investment recommendations Coordinate third-party surveyors, field brokers, and contractors; accompany teams to the field as needed to support site assessment and due diligence Collaborate with legal, development, and operations teams to review LOIs, PSAs, surface use agreements, and lease agreements, ensuring economic terms align with underwriting assumptions Maintain accurate land and lease records, deal documentation, and pipeline reporting Serve as a point of contact for landowner relationships, resolving issues and managing ongoing obligations on Giga's active asset base Requirements Demonstrated ability to negotiate and draft land agreements, surface use agreements, ROW/easements, or similar instruments Strong working knowledge of real estate and land fundamentals: lease structures, title, surveys, permits, access rights, development economics, and contract interpretation Experience reviewing and analyzing complex contractual language, identifying key obligations and risk provisions Demonstrated ability to synthesize large amounts of data and present clear, actionable recommendations to senior stakeholders Comfortable coordinating third parties in the field and managing multiple concurrent workstreams under time pressure Proficiency in Microsoft & Google suites Bonus Points Experience in data center, industrial, or energy development Familiarity with power infrastructure, utility coordination, or site feasibility analysis for high-load facilities Background in oil and gas land, surface rights, or mineral rights work Benefits Subsidized health, dental, and vision insurance Equity (options) in a rapidly growing startup 401(k) with 4% employer match Unlimited PTO Parental leave Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA) Commuter benefits Who we hire We hire people who thrive in chaos and get sharper under pressure. You don't wait to be told what to do, you spot the gap and fill it. When there's work to be done, you do it. You make decisions with the information you have, move fast, and adjust along the way. We're not looking for perfect; we're looking for people who get things done. Equal Opportunity Employer Statement Giga Energy is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Giga Energy complies with all applicable labor laws, including the California Fair Employment and Housing Act (FEHA) and other relevant state and federal regulations. We provide reasonable accommodations for qualified individuals with disabilities and encourage applicants who require accommodations during the hiring process to contact us.

🏢 Summary: Senior Product Manager role owning a critical part of a global logistics platform, defining product vision and roadmap, and delivering data-driven features that improve complex workflows for clients and operators. The position focuses on shipping intuitive, user-facing solutions in a data-dense environment while partnering cross-functionally with engineering, design, sales, and operations. It requires strong analytical capabilities and SQL proficiency to drive measurable business outcomes at scale. 🗂️ Requirements: 6+ years of product management or domain-relevant experience, Strong analytical and quantitative skills, Proficiency in SQL, Experience working with complex datasets and building metrics frameworks, Proven track record of shipping intuitive UX in data-dense, complex domains, Experience building user-facing or operator-facing workflow features, Ability to collaborate with engineering, design, sales, and operations teams, Excellent written and verbal communication skills 📃 Skills: SQL, Analytics, ProductManagement, UX, DataAnalysis, Metrics, B2B, Logistics, SupplyChain, WorkflowSoftware 🏢 Description: About Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The opportunity: We're looking for a Senior Product Manager to join Flexport's product team and own a critical part of how we serve clients and operators across global logistics. You'll define the vision and roadmap for your product area, ship features that drive measurable business outcomes, and collaborate with engineering, design, commercial, and operations teams to solve hard problems at scale. Flexport's platform powers every stage of global freight, from booking and pricing to visibility, customs, and delivery. The products you build will be used daily by logistics managers, supply chain leaders, freight operators, and internal teams who keep goods moving around the world. This is a high-impact role for someone who combines strong product instincts with deep analytical skills and comfort navigating complex domains. You will: - Define and deliver features that improve key workflows for clients or internal operators across Flexport's platform - Own your product area end-to-end, from problem discovery through launch, adoption, and iteration - Partner with Engineering, Design, Sales, Operations, and other cross-functional teams to translate complex logistics workflows into clear, intuitive experiences - Use data to guide prioritization, measure impact, and identify opportunities - Develop analytics frameworks to track product health, user engagement, and business outcomes - Contribute to medium- and long-term product strategy, with opportunities to shape the future of the platform You should have: - 6+ years of product management experience, or other domain-relevant experience - Strong analytical and quantitative skills. You are comfortable working with complex datasets, building metrics frameworks, and using data to make decisions. SQL proficiency required - A track record of shipping intuitive UX in data-dense, complex domains - Experience building user-facing or operator-facing features that simplify multi-step workflows - Ability to collaborate deeply with designers, engineers, and commercial or operations teams - Excellent written and verbal communication skills, especially around tradeoffs and prioritization - Experience with B2B workflow software, supply chain platforms, or logistics technology is a plus Benefits: The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. The US base salary range for this position (this does not include bonus, equity and benefits): $155,520—$194,400 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

🏢 Summary: Principal FPGA Engineer role focused on architecting and leading development of a massively parallel, ultra-low latency FPGA compute platform for real-time ML inference and industrial laser control. The position involves building distributed FPGA systems integrated with GPUs, developing advanced RTL and signal processing pipelines, and collaborating across software and hardware engineering teams. Full-time onsite work in Hawthorne with competitive compensation, equity, and comprehensive benefits. 🗂️ Requirements: Bachelor's degree in computer engineering, electrical engineering, computer science, or related field, 15+ years of FPGA development experience, Experience with SystemVerilog or VHDL, Familiarity with Xilinx Vivado/Vitis toolchain, Experience with high-speed IO, Experience with board bring up, Ability to work full-time onsite 📃 Skills: FPGA, SystemVerilog, VHDL, Vivado, Vitis, Xilinx, Zynq, MPSoC, RTL, DSP, Linux, SoC, C, C++, GPU 🏢 Description: Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, the company enables complex hardware to be designed, built, and scaled without limits. As a Principal FPGA Engineer, you will architect and lead development of a next-generation compute platform, a distributed system of hundreds of FPGAs orchestrating many dozens of high-power lasers in real time. This role focuses on processing hundreds of thousands of frames per second through a real-time ML inference pipeline with ultra-low latency requirements. The position involves leveraging cutting-edge silicon including the Xilinx Zynq Ultrascale+ MPSoC and tightly coupling FPGA fabric with GPUs to build a heterogeneous computing platform. The role centers on pioneering FPGA-based real-time machine learning in an industrial manufacturing environment and contributing core IP work at the frontier of FPGA computing. 3D printing experience is not required. The role seeks collaborative engineers who enjoy solving difficult technical challenges. Responsibilities: - Architect a massively parallel, ultra-low latency FPGA pipeline capable of processing hundreds of thousands of frames per second across a fleet of hundreds of FPGAs - Lead cross-disciplinary engineering efforts spanning software, electrical, and process engineering to advance FPGA capabilities at the system level - Design and implement real-time ML inference capability directly on FPGA fabric - Develop novel RTL components and IP blocks focused on timing closure, resource utilization, and deterministic latency - Implement high-performance signal processing algorithms on FPGA, including custom arithmetic, filtering, and feature extraction at line rate - Design deterministic, microsecond-precision controllers for high-power laser systems operating under strict real-time constraints Basic Qualifications: - Bachelor's degree in computer engineering, electrical engineering, computer science, or related field - 15+ years of FPGA development experience in SystemVerilog or VHDL - Familiarity with Xilinx Vivado/Vitis toolchain development environment - Experience with high-speed IO, board bring up, and hardware-centric FPGA development Nice to Have: - Master's degree in computer engineering, electrical engineering, computer science, or related field - Experience with image processing or DSP - Experience with Xilinx Zynq Ultrascale+ MPSoC - Experience with embedded software development including embedded Linux and SoC-based architectures - Experience implementing advanced computations on FPGAs - Experience with heterogeneous computing platforms and high-speed data acquisition systems - Familiarity with C/C++ or other programming languages - Excellent verbal and written communication skills - Creative problem-solving ability using first-principles reasoning Location: Based in Hawthorne, the role requires full-time onsite presence five days a week with very limited exceptions. What We Offer: Benefits: - Significant stock option packages - 100% employer-paid Medical, Dental, and Vision insurance - Life insurance - Traditional and Roth 401(k) - Relocation assistance provided - Paid vacation, sick leave, and company holidays - Paid parental leave and extended transition back to work for birthing parent - Free daily catered lunch and dinner - Casual dress and flexible work hours - Regular catered team building events Compensation: The estimated salary range for this role is $250,000-$350,000 per year, in addition to stock options. Compensation is based on experience, education, and demonstrated skills.

🏢 Summary: Opportunity to join an AI Ops team building and scaling AI-powered automation systems for global supply chain operations, partnering closely with engineering, product, and customers to drive adoption and deliver measurable value. The role focuses on deploying intelligent workflows, translating complex technical systems for users, and embedding with customer and operations teams to enhance execution. This is an onsite position in Chicago, San Francisco, or New York City. 🗂️ Requirements: College degree in analytics, finance, economics, STEM or related quantitative field, 1+ year experience in technology, data analysis or other technical quantitative field, Ability to understand complex technical systems and translate them for users, Experience working cross-functionally with engineering, product, or operations teams, Onsite availability 4+ days per week in Chicago, San Francisco, or New York City 📃 Skills: SQL, Python, Excel, Automation, Data, AI 🏢 Description: About the Role Loop is building an AI ops team that will own key automation and intelligence systems as Loop builds and scales them across its customer base. The team is disrupting traditional operations with AI-powered workflows that create 100X leverage for users, turning operators into analysts. Responsibilities include close partnership with engineering and product teams, internal roll-out of new systems and products, and driving adoption across the user base. This role requires a deep understanding of systems and their users (internal and external), the ability to translate complex technical work to everyday users, and strong problem-solving skills. This is an in-person role based in Chicago, San Francisco, or New York City, with the expectation of being onsite 4+ days per week. What You'll Do - Accelerate delivery of new product capabilities for global brands by understanding how customer outcomes are driven - Embed with customer, product, and operations teams to deliver increased customer value - Partner with AI engineers to deploy systems and products that automate workflows, reduce manual work, and improve user experience - Demonstrate strong execution skills and deep knowledge of the product offering and customer pain points - Build and maintain relationships with internal customer-facing stakeholders to ensure value delivery About You - College degree with a quantitative background in analytics, finance, economics, or similar STEM field - 1+ years of work experience in technology, data analysis, or other technical and quantitative fields - Ability to balance eagerness to learn with strong execution and problem-solving skills - Team-oriented mindset with interest in fast-paced, high-growth environments - Advanced Excel skills and SQL, Python, or other programming experience are a plus Compensation and Benefits The base pay range for this role is $80,000 to $125,000 annually, depending on experience, skills, qualifications, location, and business needs. In addition to base salary, the role may be eligible for equity. Benefits include health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave. Equal Opportunity The company is an equal opportunity employer committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to legally protected characteristics.

🏢 Summary: Full-time Engineering Team Lead role focused on leading and contributing hands-on to the development of onboarding and engagement features within a trading platform, with strong emphasis on React/React Native, production reliability, and AI-assisted development. The position combines technical leadership, end-to-end feature delivery, and ownership of performance and quality in a customer-facing fintech environment. Hybrid work model with on-call responsibilities. 🗂️ Requirements: Extensive software engineering experience with proven technical delivery, Strong Frontend expertise in React and React Native, Experience building and operating production systems, Experience with AI-assisted development tools, Ability to lead and mentor engineers, Commitment to TDD, code reviews and testing practices, Willingness to participate in on-call rotation, Strong English communication skills 📃 Skills: React, ReactNative, JavaScript, TypeScript, TDD, AI, Git, CI/CD, Testing, Observability 🏢 Description: Job Description Minimum compensation: starting from 26 750 PLN. The final offer will be determined based on the candidate's experience and competencies. So, who are we? Hello, we're IG Group. We are a FTSE100 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your team The Lifecycle team is a product-aligned, customer-first engineering team owning onboarding, activation, and engagement experiences across IG's platform. We build and support the critical first-mile customer journey and ongoing engagement features - with an obsessive focus on reducing friction, improving conversion, and driving engineering excellence to ensure our systems are reliable, performant, and easy to change. Your role in the Team's Success Your primary responsibility will be to lead a small, high-performing engineering team – combining hands-on technical excellence with day-to-day leadership. You'll set technical direction for your domain, drive delivery of business-critical features, and ensure your team operates with an ownership mindset. You'll work as a hands-on practitioner who leads by example, spending significant time writing code while coaching others to grow into independent, self-sufficient engineers. You'll leverage AI-assisted development tools as a core part of your workflow — we expect engineering leaders to actively embrace AI to multiply their team's impact. Think and act like an owner – your leadership directly impacts our customers’ ability to achieve their financial goals. What you'll do Lead end-to-end delivery of features within your domain – from technical design through to production – taking accountability for performance, reliability, and business outcomes Stay hands-on with code, demonstrating high-quality engineering that embodies what a world-class engineer should be – your team learns from your example Coach and develop team members to become independent, self-sufficient engineers – everyone on your team should aspire to grow and operate autonomously Drive technical excellence and raise the bar across your team – set and enforce high standards for code quality, testing, observability, and documentation Partner with Product, Design and stakeholders to translate business requirements into technical solutions that champion the client and deliver real commercial value one iteration at a time Identify and escalate risks early, remove delivery blockers, and ensure your team delivers at pace without compromising quality Think big – proactively identify opportunities to improve systems, reduce complexity, and challenge the status quo rather than just maintaining things as they are Leverage AI-assisted development tools to accelerate your team's delivery, improve code quality, and stay at the cutting edge of modern engineering practices You'll need to be willing to commit to an on-call support rota - on-call time is compensated (This is a Full Time employment contract, not B2B) What you'll need for this role For this role, we're looking for someone with: Extensive software engineering experience with a strong track record of technical delivery and informal leadership – you've been the go-to person others turn to for guidance Deep expertise in your core technology stack, particularly Front End expertise in React/React Native – you know when to use the right tool and how to make it sing Battle-tested experience building and operating production systems – you've been on-call when something breaks at night and lived to tell the tale Demonstrated ability to mentor and develop other engineers – you get genuine satisfaction from helping others grow Experience with AI-assisted development tools is expected – we're looking for technical leaders who see AI as a force multiplier, not a threat Whilst a Bachelor's degree in Computer Science, Engineering would be useful, we value real world practical experience. If you’re an excellent engineering leader then do apply! An ownership mindset that borders on obsessive – you treat every system with care and a focus on the best customer experience possible in terms of speed, reliability, intuitiveness and functionality, and you hold others to the same standard An AI-positive mindset – you see AI tools as amplifiers of engineering capability, not replacements, and you're excited to push the boundaries for you and your team of what's possible with AI-assisted development Strong commitment to engineering excellence: TDD, pairing, code reviews, and continuous improvement are how you operate, not boxes you tick Strong English-language communication skills and the ability to work effectively in globally distributed, cross-functional teams – you can explain complex technical concepts simply Keen interest in ongoing learning, both business and technical – you'll gain deep understanding of IG's trading products and financial markets, and share this knowledge with others Familiarity with financial services or trading platforms is highly desirable but not essential — curiosity and learning ability matter more Willingness to participate in on-call rotation — because you build it, you run it, you love it This is a hybrid position (3 days onsite, 2 days remote work) How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here . The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Flexible working hours & hybrid working Home office equipment reimbursement Performance-related bonus Private medical cover for you and your family/partner (Medicover) Multikafeteria system (you can choose a multisport card, vouchers, etc.) Life insurance (Generali) Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture Career-focused technical and leadership training in-class and online, incl. unlimited access to the LinkedIn Learning platform Well-being events as well as Employee Assistance Programme Summer picnic, New Year party and other social events 3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work Learn more about the Perks here ! Join us for this exciting journey. Apply now!

🏢 Summary: High-impact compute infrastructure role focused on building and optimizing one of the world’s largest AI supercomputers for large-scale training and inference workloads. The position involves low-level GPU optimization, Linux kernel and virtualization work, distributed systems, and orchestration across massive GPU clusters. Engineers will collaborate closely with AI research teams to maximize performance, scalability, and reliability. 🗂️ Requirements: Deep systems programming experience in C/C++ or Rust, Experience with large-scale GPU clusters or distributed compute infrastructure, Hands-on GPU kernel optimization experience, Knowledge of Linux kernel internals, scheduling, virtualization, or orchestration, Experience building high-performance AI infrastructure for training or inference, Ability to optimize memory-bound and compute-bound workloads, Experience with exabyte-scale storage systems 📃 Skills: CUDA, CUTLASS, Tensor, Nsight, Linux, KVM, Firecracker, Kubernetes, C++, Rust, GPU, CUDA, GeMM, Attention 🏢 Description: ABOUT THE ROLE: We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate training speed and overall AI progress. RESPONSIBILITIES: - Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads - Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance - Work on Linux kernel internals, scheduling, memory management, and resource isolation at cluster scale - Build custom container orchestration, virtualization layers (KVM, Firecracker, etc.), and distributed systems that go beyond standard Kubernetes - Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operations - Create and maintain infrastructure-as-code, automation, and tools that keep the entire supercomputer reliable and efficient - Collaborate closely with AI research teams to deliver production-grade performance and scalability PREFERRED SKILLS AND EXPERIENCE: - Deep low-level systems programming (C/C++ or Rust) - Experience building and operating high performance exabyte scale storage systems - Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale - Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling) - Experience with Linux kernel internals, scheduling, virtualization, or large-scale orchestration - Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms) - Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary plus equity - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Senior Backend Engineer role focused on building and maintaining scalable, high-performance SaaS systems that power real-world wellness experiences. The position involves designing APIs, leading microservices architecture decisions, and collaborating cross-functionally to deliver reliable, observable, and well-tested solutions. You will drive engineering best practices while mentoring others and contributing to a scalable AWS-based environment. 🗂️ Requirements: 5+ years experience developing large-scale SaaS applications, Strong proficiency in .NET and C#, Experience with Python, Java, or Kotlin, Experience designing APIs, Hands-on experience with microservices architecture, Strong knowledge of SQL and relational databases, Experience with AWS cloud services, Experience with observability and monitoring tools, Solid understanding of software development lifecycle and Agile practices 📃 Skills: .NET, C#, Python, Java, Kotlin, JavaScript, TypeScript, React, AWS, ECS, SQS, RDS, SQL, Microservices, NewRelic, Kibana 🏢 Description: At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.The Role You'll Play: Build and maintain performant backend systems and applications that drive real-world experiences Partner with Product, Design, and QA to bring features to life from ideation through deployment, always iterating with the end-user in mind. Champion engineering best practices—automated testing, peer reviews, observability, and elegant design Lead and influence architecture decisions that prioritize scalability and simplicity Seek feedback, iterate fast, and balance innovation with reliability Approach development with empathy—understanding how your work supports both our partners and their communities Mentor others and help foster a collaborative, inclusive engineering culture Experience You Bring You care about writing great code and solving the right problems. You're energized by big-picture thinking and grounded in delivering value with clarity and care. 5+ years Senior-level experience developing large-scale SaaS applications Proficiency with .NET, C#, Python, AWS, Java, Kotlin, Javascript, etc. Experience designing APIs and working with microservice architecture Familiarity with observability tools like New Relic or Kibana Deep understanding of SQL and relational databases Agile mindset and strong grasp of software development lifecycle practices Ability to navigate complexity, assess tradeoffs, and execute with confidence Excellent communicator who brings others along and helps ideas stick Technologies you'll be working with Languages: .NET, C#, Kotlin, Java, JavaScript, TypeScript, Python, React AWS (ECS, SQS, RDS) Architecture: Microservices Monitoring: New Relic, Kibana Databases: SQL and relational data modeling It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair, and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.The base salary range for this position in the United States is $151,000 to $201,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans.Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

🏢 Summary: Senior backend engineering role focused on building and scaling large SaaS systems that power real-world wellness experiences. The position involves designing APIs, leading microservices architecture decisions, and delivering high-quality, observable, and reliable cloud-based solutions. You will collaborate cross-functionally while mentoring engineers and driving engineering best practices. 🗂️ Requirements: 5+ years experience developing large-scale SaaS applications, Strong proficiency in .NET and C#, Experience designing APIs, Experience with microservices architecture, Experience with AWS cloud services, Experience with SQL and relational databases, Familiarity with observability and monitoring tools, Understanding of software development lifecycle and Agile practices 📃 Skills: .NET, C#, Python, Java, Kotlin, JavaScript, TypeScript, React, AWS, ECS, SQS, RDS, SQL, Microservices, NewRelic, Kibana 🏢 Description: At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.The Role You'll Play: Build and maintain performant backend systems and applications that drive real-world experiences Partner with Product, Design, and QA to bring features to life from ideation through deployment, always iterating with the end-user in mind. Champion engineering best practices—automated testing, peer reviews, observability, and elegant design Lead and influence architecture decisions that prioritize scalability and simplicity Seek feedback, iterate fast, and balance innovation with reliability Approach development with empathy—understanding how your work supports both our partners and their communities Mentor others and help foster a collaborative, inclusive engineering culture Experience You Bring You care about writing great code and solving the right problems. You're energized by big-picture thinking and grounded in delivering value with clarity and care. 5+ years Senior-level experience developing large-scale SaaS applications Proficiency with .NET, C#, Python, AWS, Java, Kotlin, Javascript, etc. Experience designing APIs and working with microservice architecture Familiarity with observability tools like New Relic or Kibana Deep understanding of SQL and relational databases Agile mindset and strong grasp of software development lifecycle practices Ability to navigate complexity, assess tradeoffs, and execute with confidence Excellent communicator who brings others along and helps ideas stick Technologies you'll be working with Languages: .NET, C#, Kotlin, Java, JavaScript, TypeScript, Python, React AWS (ECS, SQS, RDS) Architecture: Microservices Monitoring: New Relic, Kibana Databases: SQL and relational data modeling It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair, and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.The base salary range for this position in the United States is $151,000 to $201,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans.Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

🏢 Summary: Staff-level Core Engineering role focused on leading architecture and technical direction for scalable backend systems powering wellness platforms. The position drives cross-team execution, evolves microservices patterns, and improves cloud infrastructure, reliability, and observability. It combines hands-on engineering with architectural leadership and operational excellence. 🗂️ Requirements: 10+ years software engineering experience, Experience leading architecture and technical direction across teams, Production experience building and operating microservices, Hands-on experience with AWS and containerized environments, Strong SQL skills and relational data modeling experience, Experience with monitoring and logging using New Relic and Kibana, Proficiency in at least one backend language: C#, Python, Ruby, ASP.NET, .NET Core experience, Ability to work with React and Next.js ecosystems 📃 Skills: AWS, EKS, EC2, ElastiCache, SNS, SQS, SQL, ASP.NET, C#, Python, Ruby, .NET, Next.js, React, NewRelic, Kibana, Microservices, Docker, Kubernetes 🏢 Description: At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.The Role You'll Play At Mindbody, Core Engineering builds and evolves the foundational systems that help our products run reliably at scale. In this staff role, you'll bring clarity to complex technical problems, guide architecture, and strengthen how we design, deliver, and operate the backend services that power real-world experiences. Lead cross-team technical execution, aligning architecture and delivery across multiple squads and core domains Design and evolve microservices patterns that improve reliability, performance, and maintainability Drive cloud and deployment improvements across AWS, Mindbody's cloud platform, and our containerized deployment environment Partner with engineering and product leaders to turn ambiguous problems into clear technical plans and milestones Establish and socialize standards for service design, APIs, and relational data modeling (SQL) Strengthen monitoring and operational visibility using New Relic and Kibana, turning insights into durable system improvements Mentor and unblock engineers through design reviews, pairing, and practical guidance Reduce technical risk and complexity while balancing near-term delivery with long-term architecture health The Experience You'll Bring 10+ years of software engineering experience, including leading technical direction across teams through architecture proposals and design reviews Experience building and operating microservices in production environments with a focus on reliability, performance, and maintainability Hands-on experience with AWS and containerized deployment environments Working knowledge of monitoring and logging practices using New Relic and Kibana Strong SQL skills and experience with relational data modeling for high-integrity systems Comfort working across a multi-language backend ecosystem (ASP.NET, Python, C#, Ruby) Ability to collaborate effectively with web teams and front-end technologies (Next.js, React) Ability to navigate ambiguity, make thoughtful tradeoffs, and communicate clearly with technical and non-technical partners Technologies You'll Be Working With Cloud and infrastructure: AWS, EKS, EC2, ElastiCache, SNS, SQS Monitoring and logging: New Relic, Kibana Datastores: SQL and relational data modeling Languages and frameworks: .NET Core, ASP.NET, C#, Python, Next.js, React, Ruby (etc..) Pay transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.The base salary range for this position in the United States is $170,000 to $250,000. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans.Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.