Production Manager 3 4 Gw Jobs

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this rol

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per w

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a OrioleDB Deployment Engineer to join our OrioleDB Team and help elevate our OrioleDB offering. You’ll work closely with the OrioleDB team, playing an instrumental role in technical decision-making and refining internal methodologies. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For Package software into our supabase/postgres repo using Nix (with flakes), and help us transition our packaging from traditional to Nix packaging more over time. Manage OrioleDB release lifecycles, ensuring timely major, minor, and extension upgrades. Expand platform release systems to allow developers to increasingly self-service. Optimize CI/CD and tooling, specifically expanding GitHub Actions, team tooling, and testing/release approaches. Resolve production issues by proactively identifying and fixing problems in customer deployments. Maintain best practices and tests to ensure enhanced stability and decreased deployment risks. co-owning the integration of OrioleDB into the supabase product You Might Be a Good Fit If You Have 3+ years of experience with PostgreSQL and its ecosystem, including extensions and performance optimization. Are an Infrastructure Expert with proven experience in management, tooling, and optimization. Are proficient in the Nix package management system (including flakes) alongside Ansible, Packer, Docker, QEMU/KVM, AWS, and Kubernetes. Have experience building for multiple architectures , specifically Linux and Darwin/macOS aarch64 targets. Are comfortable with polyglot environments , including builds for C/C++, Go, JavaScript, a

About the Team The Technical Success team is responsible for ensuring developers and enterprises are successful in building scalable production applications with the OpenAI API platform. We guide and support customers to achieve maximum benefits, value, and adoption from deploying our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a technically savvy and business-minded AI Deployment Engineer to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale. Contribute to our open-source developer and enterprise resources. Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Use your expertise i

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Singapore. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent workstreams. Translat

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Tokyo. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required. To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and writt

The Best Players Need the Best People. The Graphics Operator is responsible for the live execution and creative development of insert graphics across all studio and remote productions at PGA TOUR Studios. This role requires technical expertise in broadcast graphics systems, precision under pressure, and a strong understanding of live sports workflows. The Graphics Operator ensures that all visual elements—from real-time scoring to branded content—are delivered with accuracy, consistency, and creative impact. QUALIFICATIONS Bachelor’s Degree or related technical education required. Minimum 3 years broadcast television or related experience at the regional to large market or network level. Experience with Chyron and Ross XPression, or similar platforms, including data integration and real-time graphics workflows. Strong understanding of live production timing, control room operations, and cue execution under pressure. Ability to build, edit, and manage graphic templates, lower thirds, and sponsor elements with editorial accuracy. Skilled in troubleshooting technical issues with graphics systems during live broadcasts. Excellent communication and collaboration skills with producers,

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Engage with either AWS or GCP cloud ecosystems to ensure best practise development for new and existing solutions Build, deploy and manage Cloud Infrastructure through with IaC concepts Hands on experience with serverless services such as AWS’ S3, Glue or Lake Formation and GCP’s Cloud Functions, Big Query or Data Fusion Integrate native cloud services with 3 rd party solutions through the offered networking solutions Understanding of the Python ecosystem from local development to production environments Experience of DevOps approaches supported with Python Work within a delivery focused team using Agile methodologies Comfortable with Docker and some exposure to orchestration tools Review and implement security best practices within cloud environments We expect you to know how to architect, design, develop, deploy and operate a data platform and be a good leader for your team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment. If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you. About Blenheim Chalcot: Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The Role: As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on. Key Responsibilities: Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include. Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effect

Location: Mumbai, India (Andheri East) Description: We’re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The role We’re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You’ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we’d love to hear from you. Behaviours that we look for Solve problems rigorously , not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early , automating meaningful tests and implementing relevant metri

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 , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are seeking an experienced and proactive Recruiter to help us grow our team. You will focus on hiring across our Sales team, collaborating closely with hiring managers and Sales leadership. This is a unique opportunity to build and scale the go-to-market recruiting function from the ground up—shaping strategies, processes, and candidate experience as we grow. Every hire you bring on board will play a direct role in building the future of ML infrastructure at Baseten. RESPONSIBILITIES Full-cycle recruiting: Own the hiring goals and recruiting process, from role kickoff through offer acceptance Sourcing excellence: Work closely with hiring managers to define what "excellent" looks like for a given role. Develop and execute sourcing strategies to build pipelines of highly qualified candidates, leveraging tools and creative outreach. Candidate experience: Ensure a smooth experience for every candidate, with clear communication and timely updates throughout the process Process improvements: Continuously refine and scale recruiting processes to increase efficiency, reduce time-to-fill, and improve quality of hire Data-driven insights: Track and analyze recruiting metrics (e.g., pipeline health, time-to-fill, conversion rates, acceptance rates) to inform strategies REQUIREMENTS 3+ years of full-cycle recruiting experience, preferably in a rapidly growing startup environment with big headcount goals Proven success

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The administrative business partner team works with Stripe's executive leaders to strategically manage their day-to-day administrative and operational needs, while also contributing significantly to projects and initiatives that help drive the company's strategic priorities. In this role, you'll be a critical part of supporting our business function by offering administrative support to 2-3 leaders within the same organization. What you’ll do In this role, you'll be a critical part of supporting our executive function. Responsibilities Provide complex calendar support for your leaders and, potentially, other members of their team Manage travel arrangements and process expense reports Make recommendations for your executives with regard to their time management, prioritization, delegation, and organization Organize and plan team meetings and offsites by assisting with the production of materials and pre-reads, taking notes, and tracking action items Partner with your executive to track key project milestones as well as progress against personal, team, and company goals and targets Establish new—and improve existing—administrative systems and processes Support the operations and culture of various Stripe teams Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum