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Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for accomplished Competitive Data Scientists, Machine Learning Engineers, and Applied Mathematics Specialists with a proven track record in data science competitions, particularly on Kaggle and similar platforms. This opportunity is designed for candidates who have achieved at least Kaggle Expert ranking, including Masters and Grandmasters, and can demonstrate strong practical skills in machine learning, statistical modeling, quantitative reasoning, and programming. You will use your competition experience to design challenging, reproducible technical tasks that require genuine problem-solving rather than plausible-looking answers. Your work will involve building execution environments, implementing verified reference solutions, developing reliable evaluation criteria, and testing how AI Coding Agents perform against complex data science challenges. A verifiable Kaggle profile with Expert, Master, or Grandmaster ranking is a key qualification. Strong practical coding and debugging abilities are essential. Previous AI training experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. PROJECT: AI training focused on competitive data science, machine learning, and reproducible technical problem-solving. AI EXPERIENCE: Not required. Key Responsibilities Design challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios. Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions. Develop automated tests and evaluation criteria that distinguish correct solutions from incomplete, incorrect, or unreliable approaches. Use coding agents to execute assigned tasks, investigate their failures, and evaluate their problem-solving capabilities. Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness. Apply competitive data science techniques and mathematical reasoning to validate solutions. Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures. Refine task difficulty and evaluation methods based on observed coding-agent performance. Document task specifications, solution methodologies, technical reasoning, and verification steps. Review and improve task quality to ensure scientific and computational accuracy. Requirements Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics. Kaggle profile with at least Expert ranking (Master or Grandmaster ranking strongly valued). Ability to provide a verifiable Kaggle profile demonstrating competition achievements and ranking. Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving. Practical programming ability, particularly in Python. Ability to independently implement, test, debug, and verify data science solutions. Experience working with datasets, computational environments, and relevant machine learning libraries. Strong analytical reasoning and the ability to explain technical decisions. Ability to identify data leakage, implementation flaws, and methodological errors. Excellent written communication and technical documentation skills. Professional English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Delivery Director, Capacity Programs for our on-premises data center builds and neo cloud (GPU cloud) delivery programs. This is a high-visibility, execution-critical role sitting at the intersection of infrastructure engineering, capacity planning, vendor/partner management, and customer delivery. You will own the end-to-end delivery lifecycle for large-scale compute infrastructure — from initial site/capacity commitments through power, networking, and hardware bring-up, to production-ready GPU/compute capacity landing in the hands of internal teams or customers. You'll be the person who turns ambitious infrastructure roadmaps into predictable, on-time, delivery. WHAT YOU'LL DO - Own delivery of on-prem infrastructure builds — colocation expansions, power/cooling readiness, rack-and-stack, network fabric bring-up, and hardware acceptance testing — coordinating across colo providers and partners, network engineering, hardware ops, and vendor teams. - Drive neo cloud delivery programs — manage capacity delivery from GPU cloud and neo cloud partners (e.g., colocation/bare-metal/GPU cloud providers), including contract milestones, capacity ramps, SLAs, and go-live readiness. - Build and maintain master delivery schedules across concurrent, multi-site, multi-vendor programs, integrating power/shell timelines, hardware lead times, logistics, and software/platform readiness into a single critical path. - Manage cross-functional stakeholders — engineering, data center operations, procurement, finance, legal, and executive leadership — translating technical dependencies into clear program status, risks, and decisions. - Own vendor and partner relationships for infrastructure delivery, including neo cloud providers, colocation partners, hardware OEMs, and logistics/installation contractors; hold partners accountable to contractual delivery commitments. - Run risk and dependency management — identify critical path risks (power availability, hardware lead times, permitting, supply chain), drive mitigation, and escalate proactively rather than reactively. - Establish delivery governance — standardized program frameworks, milestone definitions, RAID logs, capacity tracking, and reporting cadences (weekly ops reviews, executive/board-level updates). - Drive capacity planning alignment — partner with demand/capacity planning teams to ensure delivery timelines match business commitments (customer contracts, internal growth targets). - Lead post-mortems and continuous improvement — after major builds or delivery milestones, drive retrospectives that improve cost, speed, and predictability of future builds. WHAT WE'RE LOOKING FOR Required: - 8+ years in technical program management, delivery management, or infrastructure program leadership, with at least 3+ years managing large-scale physical infrastructure or data center delivery programs. - Demonstrated experience delivering on-prem data center builds (power, cooling, network, rack-and-stack) from planning through go-live. - Direct experience with GPU cloud / neo cloud capacity delivery: understanding of GPU cluster architectures (e.g., InfiniBand/RoCE fabrics, rack power density, liquid cooling considerations) and the commercial/operational mechanics of capacity contracts with neo cloud or colocation providers. - Track record managing complex, multi-vendor, multi-workstream programs with hard external deadlines and significant financial/business exposure. - Strong executive communication skills. Able to distill complex technical/operational risk into clear, decision-ready updates for senior leadership. - Proven vendor/partner management experience, including negotiating delivery commitments and holding partners accountable. - Comfortable operating with ambiguity in a fast-moving, high-growth environment. Bias toward action and structured problem-solving. Preferred: - Experience at a hyperscaler, neo cloud provider, colocation company, or AI infrastructure company - Familiarity with GPU hardware lifecycles (NVIDIA H100/H200/GB200 class systems), power/thermal constraints, and supply chain dynamics for compute. - PMP, PgMP, or equivalent program management certification. - Experience building delivery/program management functions from the ground up BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote-Mexico City Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION In a Sales Engineer role, you will act as a strategic advisor to prospects, customers, and the UiPath salesforce around our technology solutions. You will uncover the value that Automation and AI can bring to existing business processes, and to design new processes using UiPath platform capabilities. You will help secure the technical win and identify high value uses of our technology within our customer base by collaborating with and orchestrating necessary resources throughout the customer lifecycle.   WHAT YOU'LL DO AT UIPATH - Evangelize the value that Automation brings to businesses by combining digital workforce with the exponential power of AI/ML capabilities. - Be a thought leader on best ways to advance the UiPath platform, develop marketplace offerings and industry specific solution accelerators. - Understand industry challenges, headwinds, and the opportunities it creates for businesses. - Partner with sales team to define account strategy, ideate on growing our solution footprint with our customers, and identify desired business outcomes. - Build and deliver industry specific demos and proof of value (PoV) for prospects and customers. - Conduct process discovery sessions to understand how work gets done currently, build a backlog of potential automation opportunities, and quantify the value that can be unlocked. - Work closely with Product & Engineering, Marketing, and Customer Success teams to channel customer feedback and continually refine UiPath offerings. - Share lessons learned and best practices with other members of the UiPath GTM team. - Provide a feedback loop into our product teams to include continual innovation and improved customer satisfaction.   WHAT YOU'LL BRING TO THE TEAM - Experience in a customer-facing or strategic consulting role. - Experience in business transformation coupled with AI or RPA technical expertise. - Strong analytical skills and a problem-solving mindset - Excellent verbal and written communication skills in English and Spanish - Industry experience around supply chain, manufacturing, energy, Telco, etc preferred. - An understanding of technical landscapes and the ability to architect complex solutions. - Demonstrated experience of simplifying and communicating complex concepts to a technical and business audience. - Knowledge and understanding of Lean Principles and Continuous Process Improvement methodologies. - Ability to empathize with co-workers and customers. - Curiosity to learn and master your craft. - Coachable and willing to learn to adapt to a changing environment. - A background in consulting, sales engineering, or running automation programs - Requires up to 25% travel   #LI-KS6 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As our Senior Manager of Data Analytics, you will be the ultimate data storyteller, transforming complex data landscapes into clear, company-wide strategies that fuel execution across Docebo. Reporting directly to the Director of Data, you will serve as a vital bridge between our Core Data team and executive business leaders across North America and EMEA. This is your chance to lead an innovative analytics function, champion data-driven decision-making, and directly shape the future of a global, AI-powered learning platform. THE DAY-TO-DAY 📈 - Empower Your Team: Manage, mentor, and inspire a talented team of data analysts to design high-impact reports, dashboards, and deep-dive analytics that deliver timely insights across all business functions. - Execute the Strategic Vision: Support the Director of Data in executing a future-forward data analytics strategy and roadmap that aligns perfectly with Docebo’s hyper-growth goals. - Bridge the Data Ecosystem: Partner closely with the Core Data team to ensure the robustness, scalability, and absolute efficiency of our BI platforms, data models, and ETL processes. - Cultivate Global Partnerships: Build and own deep relationships with functional leaders across Finance, RevOps, Customer Success, and GTM leadership in both North America and EMEA to translate burning business questions into executive-level KPIs. - Anchor North America: Act as the Director of Data's primary point of presence in North America, representing the Data organization with local leadership to embed intelligence directly into regional strategic and operational planning. - Ignite Analytical Innovation: Fuel business breakthroughs by leveraging advanced analytics techniques, predictive modeling, and staying ahead of emerging technology trends to uncover new opportunities. - Guard Data Excellence: Implement and enforce elite standards for validation, governance, and quality assurance within the data analytics function to guarantee undeniable data integrity. YOUR SUPERPOWERS 🦸‍♂️ - Proven Analytics Leadership: Bring 5+ years of progressive experience in data analytics, business intelligence, or related fields, including at least 2 years of successfully managing or leading high-performing analyst teams. - Technical Toolkit Mastery: Demonstrate deep expertise in modern BI and data visualization tools alongside strong practical knowledge of advanced analytics languages like Python and SQL for complex data analysis. - Data Architecture Fluency: Navigate data warehousing environments (like Snowflake) with ease, backed by an expert grasp of data modeling best practices. - Cross-Functional Collaboration: Show off a track record of leading cross-functional analytics initiatives and aligning beautifully with data engineering teams. - Influential Communication Style: Deliver complex data stories with clarity and impact, utilizing exceptional presentation skills to influence organizational change and align senior stakeholders. - Growth-Focused Mindset: Bring a proactive, results-oriented attitude dedicated to data quality, process optimization, and nurturing the continuous professional development of your team. - Educational Foundation: Possess a Bachelor’s degree in a STEM field or a related quantitative discipline. BONUS POINTS 🎯 - Advanced Academic Edge: Hold an MBA or a Master’s degree in Data Analytics, Business Intelligence, or a related specialized field. - Global SaaS Familiarity: Experience working with cross-functional leadership across international time zones, specifically connecting North American and EMEA regions. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview: We are looking for an experienced licensing expert with strong European and Asia (ex China) retailer and licensee experience. A depth of industry connections is required for EMEA (all G5 key markets with focus on France and Germany with emerging markets a plus) with Asia market experience and relationships a plus. You have a proven track record for growing multi-millions in revenue and culturally relevant programs with partners. Having deep executive retailer and licensee relationships is crucial, with solid understanding of our partners strategies and examples of how you have developed these relationships to build meaningful licensed programs that grow the PlayStation brand and our software IP titles. You will partner with the Sr. Director to bring the global vision, strategy, and operational plan to life, and own the strategy for the Europe/Asia and global partners assigned to you. You will drive a robust consumer products business across various channels, including but not limited to brick-and-mortar retailers, online retailers, and experiential venues. This role will work with executives and stakeholders, internally and externally, to deliver business results. We are seeking an analytically minded, out-of-the-box thinker, who can operate proactively in a fast-paced environment and is able to wear many hats. What you'll be doing: P&L responsibility for the Europe/Asia licensed merchandise business. Appoint best-in-class licensees and identify strategic retail partners to grow the presence of the PlayStation brand and 1st party game IP/franchises licensed merchandise. Own, manage and develop key strategic and master licensees and retailers, with a view to developing cross category product portfolios to support PlayStation brand and 1st party game IP/franchises. Strategize, negotiate, and manage contracts, in partnership with legal. Identify and implement high value, newsworthy brand collaborations for PlayStation brand and 1st party game IP to help elevate brand perception within the market. Partner with PS Sales Team to grow key accounts in EU priority markets. Handle agents for Middle East, India and Japan. Manage assigned relationships with studios to develop merchandise plans in line with overarching games marketing priorities. Develop a strong network across the wider SIE business (PS Sales, Global Games Marketing, Brand Partnerships etc.) working in collaboration with key teams and stakeholders to achieve and deliver optimum results. Manage and develop direct reports within the licensing function, setting the agenda and priorities to enable us to achieve our goals. Enable group and manage individual group members to develop skills and experience, with a view to achievement of long-term career goals. Deliver revenue growth consistent with our short, medium, and long-term plans. Develop 3–5-year mid-range plans; Provide forecasts, performance reports and financial business updates. What we're looking for: Track record of building robust business strategies while being nimble to a constantly evolving environment Business planning expertise, including forecasting, portfolio planning, investment decision-making and trend analysis Demonstrates a strong commercial acumen and can demonstrate extensive revenue growth Strong experience in team leadership and people management Have strong relationships from buyer to executive level at key retailers A leader, able to motivate & direct whilst fostering teamwork and collaboration Possesses strong interpersonal skills and gravitas to maintain relationships and influence and persuade others Analytical with a strong ROI mindset Tenacious and focused on outcomes and deliverables A creative problem solver that enjoys thinking about new ways of working Benefits: Discretionary bonus opportunity Hybrid Working Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? SOFTWARE ENGINEER INTERN BELLEVUE, WA – ONSITE/HYBRID 12 WEEK SUMMER INTERNSHIP (MAY/JUNE - AUGUST/SEPTEMBER 2027) UiPath is a global leader in business orchestration and automation. Our platform helps enterprises coordinate end-to-end processes across AI agents, robots, people, and systems, with the governance needed to run agentic automation at scale. As a Software Engineer Intern at UiPath, you will have the opportunity to work side by side with the best and the brightest in the industry. You'll be part of a highly technical team, responsible for design, implementation, and maintenance of software that simplifies and automates business processes. You'll be working with some of the latest technologies and will most definitely learn and grow your skillset. If you are looking for an opportunity to learn, accelerate your career, and have fun - then we want to hear from you! WHAT YOU'LL DO AT UIPATH: - Work closely with other engineers and product managers to envision and deliver product capabilities. - Ensure our software meets all requirements of quality, security, scalability and high performance - Participate in and influence our best practices across the engineering organization - Collaborate with internal teams to identify business goals, technical requirements, and implement solutions to maximize automation and efficiency - Responsible for delivering service features in a CI/CD agile process WHAT YOU'LL BRING TO THE TEAM: - A strong fundamental understanding of Computer Science through pursuit of a bachelor’s, master's, or PhD degree in Computer Science, math, or a related discipline - Programming knowledge in one or more object-oriented languages (such as C#/C++/Java) - Experience from previous internships or other multi-person projects, including open-source contributions - Experience using AI coding assistants (such as GitHub Copilot, Cursor, or Claude) to write, debug, and refactor code, with the judgment to review and test AI-generated output before relying on it - Ability to learn unfamiliar systems and form an understanding of those systems - Proficiency in artificial intelligence and machine learning concepts, techniques, and applications is a nice to have #LI-RW1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. ABOUT THE ROLE: As we enter our next phase of growth, we're looking for a driven Growth Intern to join our team for the summer. You'll work directly within the Growth team, sitting at the intersection of Sales, Marketing, Partnerships, and Revenue Operations. This is a hands-on role with real responsibility. WHAT YOU’LL DO: - AI and process automation - lead AI efforts to improve sales efficiency via automations and work with state-of-the-art technology (claude code / cowork, n8n, etc.) - Deal support - help AEs on strategic deals via pre meeting and project assistance - Support outbound sales motions - contribute to developing outbound strategies and help craft pitches that resonate with banks, wealth managers, and fintech clients - Drive data-driven insights - run analyses on pipeline and sales performance to identify where we should focus, and help turn those findings into concrete initiatives - Lead market research - independently research the competitive landscape, identify new business opportunities, and surface trends that inform our GTM strategy - Support us on business development - work closely with Sales, Marketing, Partnerships, and Product to support and align on strategic priorities - Contribute to sales enablement - help build materials and processes that make the AE team more effective WHAT YOU BRING: - Currently enrolled in a Bachelor's or Master's programme (Business, Finance, Economics, or related field) - Strong analytical mindset - comfortable working with data and drawing actionable conclusions - Excellent written and verbal communication skills in English; German is a strong plus - Genuine interest in financial services, investment infrastructure, or B2B SaaS - Self-starter attitude - you take ownership and don't wait to be told what to do - Previous experience in a fast-paced environment (finance, consulting, startups) is a plus WHAT YOU'LL GET: - Direct exposure to a high-growth fintech building Europe's investment infrastructure - Mentorship from experienced GTM professionals - Real ownership of projects that matter - A competitive internship stipend - The full Upvest culture - feedback, autonomy, and a team that genuinely enjoys working together HOW WE UPVEST IN YOU: - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem Black at Upvest, Up&Out, and UpVergent. OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions. - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Lima - Perú Technical Lead (Composites Engineering & Product Development) Location: Lima, Peru (Cercado de Lima Plant) Reporting to: Site Manager Direct Reports: Product Designer, Assistant Product Designers (2), Estimators (2) About Bradken Bradken is a global leader in innovative wear solutions and custom-engineered products for the resources sector. For our more than 3,000 people, that global reach creates opportunities to share expertise, solve meaningful challenges and grow through new experiences. Together, we help the resources sector sustainably advance society. About the Role This is a high-impact leadership opportunity for an experienced engineering professional who combines deep technical expertise with the ability to drive innovation, influence stakeholders, and develop high-performing teams. As the Technical Lead, Composites Engineering & Product Development , you will serve as the technical authority for Bradken's Lima composites operation, leading product design, manufacturing optimisation, cost estimation strategy, technical innovation, and knowledge transfer initiatives across the global business. This role is critical to preserving and advancing Bradken's composite wear technology capability. You will work closely with teams across Peru, Canada, India, and Australia , partnering with manufacturing, engineering, commercial, and operational leaders to develop new products, optimise processes, support strategic growth projects, and strengthen Bradken's technical position in the market. We are seeking a hands-on technical leader who can bring proven expertise from mining wear products, rubber composites, mineral processing equipment, liners, engineered rubber products, or similar heavy industrial manufacturing environments. Please Note: Professional working proficiency in both English and Spanish is essential. The successful candidate will regularly engage with global engineering, manufacturing, and commercial teams across multiple regions. Candidates should be comfortable participating in technical discussions, presentations, and problem-solving sessions in English. Applications must be submitted in English, and candidates will be assessed on their ability to communicate effectively in both English and Spanish throughout the recruitment process. In This Role, You Will Technical Leadership & Product Development Lead the technical function for Bradken's composites operation, ensuring products meet customer requirements, engineering standards, manufacturing capabilities, and commercial objectives. Drive product development, design validation, technical reviews, manufacturability assessments, and continuous product improvement initiatives. Work closely with regional and global engineering teams to support composite product development and deployment across Bradken operations. Lead technical investigations, root cause analysis, and complex problem-solving activities affecting product performance, quality, manufacturing efficiency, or customer outcomes. Identify and implement new technologies, materials, processes, and engineering solutions that improve productivity, quality, and competitiveness. Support technical engagement with key mining customers, helping to understand operational challenges and develop fit-for-purpose solutions. Manufacturing Excellence & Innovation Partner closely with production, quality, and engineering teams to optimise manufacturing processes and improve operational performance. Evaluate new manufacturing methods, technologies, materials, and equipment to drive continuous improvement. Ensure product designs are aligned with manufacturing capabilities and support efficient production outcomes. Support process standardisation, knowledge transfer, and best-practice implementation across global operations. Contribute technical expertise to strategic CAPEX and site expansion projects. Costing, Estimation & Commercial Support Provide technical leadership to the estimation function, ensuring accurate costing methodologies, manufacturing assumptions, and lead-time assessments. Support quotation development through technical reviews, risk assessment, material selection, and production planning considerations. Drive cost optimisation initiatives while maintaining product performance, quality, and customer expectations. Collaborate with commercial teams to strengthen Bradken's value proposition and competitive position. Leadership & Capability Development Lead, coach, and develop a team of product design and estimation professionals. Foster a culture of accountability, innovation, collaboration, continuous improvement, and customer focus. Support knowledge retention and technical capability growth across the business. Build strong relationships across engineering, operations, sales, supply chain, and customer groups globally. What You'll Bring Essential Bachelor's degree or Technical Degree in Mechanical Engineering, Metallurgical Engineering, Manufacturing Engineering, or a related discipline. 8+ years of experience within mining, mineral processing, rubber, composites, wear products, heavy manufacturing, industrial engineering, or similar technical environments. Demonstrated leadership experience managing technical, engineering, design, or manufacturing teams. Proven expertise in product development, engineering design, manufacturing processes, and technical problem solving. Experience interpreting engineering drawings, specifications, CAD models, and manufacturing documentation. Strong understanding of manufacturing environments and process optimisation methodologies. Experience supporting customers through technical solutions, product performance improvements, or engineering consulting. Strong project management and stakeholder engagement capabilities. Full professional proficiency in English and Spanish. Highly Desirable Direct experience with: Mining wear products Mill liners Rubber products Composite wear solutions Mineral processing equipment Engineered industrial products Experience working for leading organisations within mining consumables, wear solutions, process plant equipment, rubber manufacturing, or related sectors. Lean Manufacturing, Six Sigma, Continuous Improvement, or Operational Excellence certification. Master's degree in Engineering, Technology Management, or Business Management. Experience supporting global operations and cross-regional technical teams. Success in This Role The successful candidate will be recognised as a trusted technical leader who can: Bring deep technical expertise and credibility to the business. Accelerate innovation and process improvement. Mentor and develop technical talent. Strengthen knowledge transfer across global operations. Improve manufacturing efficiency and cost competitiveness. Support growth through new products, new technologies, and customer-focused solutions. Build strong partnerships across engineering, operations, commercial teams, and customers. Work Environment This is an onsite leadership role based at Bradken's Lima manufacturing operation. Occasional domestic or international travel may be required to support: Customer visits Technical reviews Manufacturing collaborations Knowledge transfer initiatives Global engineering projects Operational improvement programs Applicants must have the legal right to work in Peru. Bradken is unable to provide visa or work permit sponsorship for this position. Why Join Bradken? At Bradken, you'll do work that matters. Whatever your role, your contribution helps solve real challenges for our customers and supports safer, more efficient and more sustainable resource operations. This role offers a unique opportunity to influence the future of Bradken's composites technology capability while collaborating with engineering and operational leaders across multiple regions. You'll join a company that values technical excellence, innovation, continuous improvement, and collaboration, while providing opportunities to build a truly global career. We Offer A safety-first culture Annual Salary Bonus Competitive pay and benefits Global career opportunities Exposure to international engineering and manufacturing teams Learning and development opportunities Educational Reimbursement Opportunities Employee Assistance Program for you and your family (Private Psychology service available 24/7 covered 100%) Inclusive and collaborative work environment Opportunity to contribute to strategic growth and transformation initiatives Our Hiring Process As part of our selection process, we may invite you to complete a one-way video screening at a time that works for you. This helps us provide a fair and consistent experience when working across locations and time zones. If you require an adjustment or alternative format at any stage, please let us know. Before commencing employment, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance, and business needs.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment is seeking a Senior Technical Program Manager on a contract basis to support engineering teams in Foundational Systems and Experiences Engineering (FSEE). You will work with application developers, quality engineering developers, release managers, framework engineers, and other partners across teams and regions. You will turn technical goals into coordinated plans, keep decisions and dependencies moving, and improve the predictability of delivery and release management. This is a senior individual contributor role with hands-on ownership of complex, cross-team programs. Responsibilities Own programs across internal tooling and framework teams from initiation through delivery, with clear scope, priorities, milestones, outcomes, and accountable owners. Translate developer, quality engineering, and release management needs into technical requirements and execution plans with engineering partners. Support development team release management processes by aligning schedules, decisions, risks, and handoffs across participating teams. Drive prioritization and decisions that balance developer impact, technical constraints, capacity, and delivery timing. Identify risks early, lead mitigation, and escalate issues with clear options and trade-offs. Facilitate Scrum ceremonies and adapt Agile practices to help teams plan, execute, and improve their work. Communicate program health, progress, risks, and decisions to technical partners and senior leaders across regions. Improve processes and tools that reduce manual coordination and make application onboarding and release more predictable. Complete an orderly transition with documented decisions, remaining risks, and clear ownership for ongoing work. Required qualifications 5–7+ years of technical program management, program management, or closely related experience, with demonstrated ownership of complex, interdependent software programs. Prior hands-on Scrum Master experience and a strong understanding of Agile ceremonies and team execution. A background in software development or quality engineering, with practical understanding of system design, testing, and delivery workflows. Ability to work with engineers on architecture concepts, system integrations, CI/CD processes, and technical trade-offs across the software development lifecycle. Experience coordinating delivery and release readiness across multiple teams with competing priorities and dependencies. Experience aligning globally distributed, cross-functional teams and influencing decisions without direct authority. Strong written and verbal communication with technical and nontechnical audiences, including senior leadership. A record of navigating ambiguity, resolving risks, and driving programs through deployment and handoff. Preferred qualifications A bachelor's degree in a technical field or equivalent practical experience. Experience with internal developer tools, application onboarding portals, engineering frameworks, or quality engineering workflows. Experience supporting release management processes and CI/CD gating across multiple systems. Experience applying Scrum, Kanban, or other Agile approaches to programs involving several teams. Experience improving program management practices, tooling, reliability, or delivery efficiency. What success looks like The internal development teams have clear plans and decisions, with risks and dependencies addressed early. Application developers, quality engineering developers, and release managers spend less time on manual coordination and have a clearer view of application status and next steps. The development team's release management process has dependable milestones, readiness criteria, communication, and ownership across teams. Stakeholders trust the program's reporting and decision process, even when priorities or technical constraints change. Teams retain useful improvements to their delivery practices and a complete handoff for ongoing work. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $72.08 — $108.15 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a Sr Manager, Account Based Marketing (SAT) to build, execute, and scale Checkout.com http://Checkout.com’s enterprise demand generation and Account-Based Marketing (ABM) strategies across North America. This role is a perfect hybrid of strategic rigor and hands-on execution. You will own the pipeline journey from first touch through to early-stage qualified opportunities, with a heavy emphasis on driving qualified pipeline and executive engagement alongside our Strategic Accounts team. As a key driver of our NAMER growth strategy, you will build the operational blueprint for how we target, engage, and convert high-value enterprise buyers—including CFOs, Heads of Payments, Treasurers, and CTOs at Fortune 500 and hyper-growth digital businesses.   What you will do - Drive NAMER Pipeline & Revenue: Own the strategic plan and execution for regional demand generation, with ultimate accountability for driving qualified enterprise pipeline and closed-won revenue. - Architect Next-Gen ABM Programs: Design, launch, and scale 1:1 and 1:few Account-Based Marketing (ABM) programs tailored to high-value enterprise targets in the US and Canada. - Optimize the Marketing-to-Sales Funnel: Partner deeply with Revenue Operations, Marketing Operations, and Sales to refine lead scoring, qualification, routing, and shared SLAs to maximize conversion rates and eliminate funnel friction. - Scale High-Leverage Channels: Identify, test, and scale the most effective acquisition channels (e.g., personalization email and nurture campaigns, targeted paid digital, webinars, bespoke content syndication, and industry events) specifically optimized for the North American enterprise market. - Master the Enterprise Persona: Develop sophisticated segmentation and messaging strategies that resonate with complex buying committees—balancing highly technical personas (Product/Engineering) with commercial decision-makers (Finance/C-Suite). - Align Cross-Functionally: Act as a critical bridge between Enterprise Marketing, Product Marketing, Field Marketing, and Sales to ensure unified, integrated campaigns across the entire buyer journey. - Build for the Future: Establish the framework and early momentum for a high-performing demand gen function, keeping a laser focus on data-driven insights to constantly optimize ROI. - Qualifications & Experience: - 6–8+ years of experience in demand generation, revenue marketing, or growth marketing within B2B SaaS or Fintech, with a proven track record supporting complex enterprise sales cycles. - Proven ABM Expertise: Direct experience building and scaling highly targeted Account-Based Marketing programs that have measurably driven pipeline acceleration and closed-won revenue. - Fintech or Payments Background (Highly Desired): A strong understanding of the payments landscape, digital commerce, or complex financial ecosystems is a massive plus. - Data-Driven & Commercially Minded: Deep comfort with marketing automation, CRM systems, ABM tech stacks, and advanced multi-touch attribution models. - Fluidity Between Strategy & Execution: You love setting the high-level roadmap but are equally excited to roll up your sleeves, write the copy, build the campaign, and dive into the data yourself. - Exceptional Collaboration Skills: Strong cross-functional instincts with the ability to influence, align, and drive accountability across marketing, revenue ops, and senior sales leadership in a fast-paced environment. What We Offer - Comprehensive healthcare, vision, and dental benefits. - A highly collaborative, dynamic, and flexible working environment. - The opportunity to shape the growth story of a global fintech giant in North America. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Mexico About Improvado Improvado is a fast-growing, AI-powered marketing intelligence platform trusted by global enterprises like ASUS, Docker, and Activision. We simplify complex data for marketing teams, enabling smarter budget decisions, campaign optimization, and ROI growth. Fresh off a $34M Series A funding round, we’re scaling rapidly and seeking passionate problem-solvers to join our mission. Your Impact As an Analyst, you’ll be the frontline hero for marketers, resolving critical data problems that drive their strategic decisions. You’ll use AI as a core part of how you investigate, learn, communicate, and improve your work—while applying your own judgment and taking responsibility for the results. Your work ensures our platform delivers accurate, actionable insights—directly impacting client success and our product’s evolution. What You´ll Do Work AI-First: Use AI throughout your workflow to investigate issues, explore data, develop and check SQL, draft customer communications, and document solutions. Verify outputs, protect sensitive information, and take ownership of the final result. Solve Complex Data Challenges: Investigate issues like missing Reddit conversions by tracing data pipelines from source (API) to SQL transformations. Engage & Empower Customers: Communicate via Helpdesk (Jira) and sometimes using video calls (Google Meet), turning technical roadblocks into trust-building moments. Drive Product Excellence: Collaborate with Engineering, Product, and Customer Success teams to escalate bugs and shape solutions. Become a Platform Expert: Master Improvado’s tools (SQL) and marketing APIs (Facebook, Reddit) to deliver swift, accurate resolutions. Build Knowledge: Document recurring cases to streamline future troubleshooting. What You Bring AI-First Mindset and Skills (Most Important): You proactively use AI to solve problems, learn unfamiliar concepts, and improve the quality and speed of your work. You know how to give AI clear context, ask effective questions, iterate, and critically verify its output rather than accepting it at face value. You’re curious, adaptable, and accountable for your decisions, and you handle sensitive information responsibly. Technical Proficiency: SQL skills (SELECT, filtering, aggregates); familiarity with window functions or ClickHouse/Postgres is a plus. Customer-First Mindset: Passion for translating technical details into clear, empathetic solutions. Collaborative Spirit: Thrive in cross-functional teams and fast-paced environments. Fluent English: Communicate complex ideas clearly to global clients. How hiring process looks like Homework assignment (very light, less than 30 minutes) HR interview with two live SQL tasks Final interview with the hiring manager Why Improvado Work Flexibly: Remote-first culture with asynchronous collaboration and results-driven hours. Shape the Future: Work directly with enterprise clients and influence a product used by industry leaders. Generous Time Off: 20 working days PTO + US holidays Vibrant Culture Ready to Untangle Data & Empower Marketers? If you’re curious, proactive, and eager to grow in a scaling startup, apply today! Let’s transform marketing intelligence together.