Production Line Management Engineer Jobs

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's engineering team is expanding rapidly, and we're looking for a seasoned engineering leader to help us scale our AI-powered creation platform and team. As a Senior Engineering Manager within the Creator Group, you will lead the Studio Assistant team — driving the strategy and execution of our agentic AI system that powers creation for millions of Roblox creators. Your team owns everything end-end from the user experience in Studio, to the infrastructure underneath backend by a single cloud-native architecture: one harness, one tool set, one eval framework. Your work will empower millions of creators to plan, generate, and ship content faster than ever before. At Roblox we move fast and ship code to production daily; your leadership will increase productivity by removing obstacles and keeping processes lean. You will identify and mitigate risk and make sure the technology outpaces our growth. Roblox teams are inclusive, helpful, and have a strong sense of ownership over the things they build. If you have a desire to grow and learn, you will fit right in with our highly-skilled and ever-expanding engineering team. You Are: Battle ready: You have experience defining architecture for AI

As a Social Media Marketing Manager, you’ll shape Coder’s day-to-day social presence and turn complex AI infrastructure into content people want to watch. You’ll create for technical and business audiences without losing the broader story, using video, strong writing, and a clear point of view. You’ll work closely with Coder’s content marketing, community, field marketing, product marketing, demand gen, and devrel teams (and more) to support campaigns, engage our community, and strengthen Coder’s voice across Instagram, YouTube, LinkedIn, and X. From first idea to final post, you’ll create, publish, engage, measure, and improve. What you’ll do here Own social media engagement. Monitor Coder’s channels daily and respond to comments, mentions, and conversations in a voice that is technical, warm, and on-brand to increase engagement and get more of Coder’s content in front of the right audiences. Create vertical video content end to end. Produce short-form and long-form video for Instagram Reels and YouTube Shorts, including scripting, filming, editing, publishing, and optimization. Execute campaigns. Partner with the cross-functional teams to bring product launches, thought leadership series, customer stories, and event campaigns to life across social media platforms. Repurpose and remix. Turn webinars, blog posts, product demos, and other existing content into social-native formats built for each channel. Track and report. Monitor performance, identify patterns, share insights with the team, and use what you learn to shape the next round of content. Stay current. Keep up with platform trends, algorithm changes, emerging formats, and what is working across developer tools and B2B technology. Manage the content calendar. Keep production organized, maintain a steady publishing rhythm, and surface new ideas before they are requested. What we’re looking for 3+ years of experience creating content for a brand, agency, or independent audience, with a portfolio that shows ra

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve. A snapshot of projects you will work on: - Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.) - Integration with ML training and data sources - Stability an

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer, Backend on the Growth Foundations team within the Consumer & Business group, you'll build and scale the core infrastructure that powers growth across Coinbase. This team owns the foundational systems behind powering efforts as: notifications at scale, incentives and referral platforms, user targeting and segmentation, lifecycle communications, and ML ranking that power more than 50% of Coinbase web and app surfaces. You'll design and ship backend systems that enable high-impact growth initiatives for Retail, Institutional, Base, and international teams while maintaining the reliability, scalability, and performance our customers depend on. What you'll do: Own the design and delivery of scalable distributed backend services that handle high QPS, low latency, and high reliability requirements for growth infrastructure Architect resilient service-oriented systems using modern cloud technologies, contributing across backend, data, and ML layers of the stack Partner with engineers, designers, product managers, and senior leadership to translate product and technical vision into quarterly roadmaps Lead investments in developer tooling, shared platform capabilities, and cross-team relationships that increase organizational velocity Build high-quality, well-tested production code for systems that are secure, reliable, and maintainable at sc

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a software engineer on the AI Solutions team, you will co-lead customer engagements with an AI Solutions Strategist . The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. What You’ll Do Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. Create and maintain solution architecture artifacts: System context and data flow diagrams Integration plan across Ramp and customer systems Security model covering permissions, access patterns, and au

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a software engineer on the AI Soltuions team, you will co-lead customer engagements with an AI Solutions Strategist . The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. What You’ll Do Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. Create and maintain solution architecture artifacts: System context and data flow diagrams Integration plan across Ramp and customer systems Security model covering permissions, access patterns, and au

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 hiring experienced performance engineers to find and land performance wins across the Supabase stack — from the query optimiser to block device level, and across the network paths and cloud infrastructure that connect our distributed platform. This is a performance delivery role: real, measured improvements to our database, platform, and APIs as we scale toward enterprise and platform-grade workloads. The methodologies you develop and tooling you build exist to multiply that delivery. You'd join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There's no legacy process to inherit — you'll help define how performance engineering works at Supabase. What you'll do Find bottlenecks in live production systems and characterize them precisely enough that the owning team can act on them without you in the room. Partner closely with database teams (e.g. Multigres, OrioleDB) and infra teams to land concrete performance improvements. Build, communicate, and evolve performance methodologies and tooling that turn live production data into actionable insight. Partner with the observability team to capture the right signals and establish a unified view of platform performance (latency, throughput, tail behavior) across products. Help teams self-serve performance analysis and make performance a first-class engineering concern. Problems you might work on Tune the kernel's paging behavior to production workloads Reduce memory overhead in OrioleDB and Multigres Identify and eliminate sources of latency spikes from application to kernel level Identify scalability bottlenecks across the

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for an Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, and product

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Anyscale Platform Engineering Leader About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Anyscale is looking for an experienced Engineering leader to lead our Infrastructure, SRE and Enterprise Governance Engineering teams. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud using Ray - the popular open source platform used by companies like Netflix, Uber, Instacart and others - seamless. In this position, you will guide the vision, technical direction of the team, and recruit, enable a high-performing engineering team that delivers critical values to developers and Anyscale customers by solving complex distributed systems challenges. You will oversee and drive the strategy and execution of components which includes cluster launcher, cloud providers (AWS/GCP/Azure/etc.), Kubernetes support, cluster autoscaling, control plane, data plane, reliability, billing stack, production database and related components. You will closely work with our customers and our field engineering team to solve their problems, understand their challenges and make sure they are successful. We'd love to hear from you if you have: Solid engineering management experience leading produ

We're looking for a Senior Manager of SW Tools Development to lead an organization built on two closely connected pillars: AI-powered tools and agents, and the test infrastructure, data pipelines, and process automation that engineering and business teams rely on every day. You'll bring deep knowledge of large language models (LLMs) and applied AI, and use it not only to build new AI-driven products but to find where AI can meaningfully upgrade test infrastructure, data pipelines, and automation — the overlap between these areas is where some of your team's highest-leverage work happens. Beyond building the tools, you'll be the face of your organization's products internally — demoing capabilities, winning over new adopters, and growing the portfolio of tools your team owns. You will manage multiple engineering teams (including managers), partner cross-functionally with stakeholders across the business, and build the processes that let your tools ship safely and reliably at scale. In this role, you will: Lead and grow multiple engineering teams spanning AI-powered tools/agents and test infrastructure, data pipelines, and process automation, managing and mentoring managers and senior engineers, and holding your organization accountable for delivery and quality across both areas. Set a unified, prioritized roadmap across your organization that balances new AI agent/tool capabilities with test infrastructure, data pipeline, and process automation needs — with a sharp eye for where applying LLMs to automation, pipelines, or test systems creates outsized leverage. Design and enforce the architecture, quality gates, and release processes that ensure tools, pipelines, and AI agents are validated, secure, and reliable before reaching production. Partner cross-functionally with engineering, operations, and business leadership across the company to align priorities, scope integrations, and drive adoption of new tooling at an organizational leve

About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. We’re looking for a Data Scientist to help build the next generation of GTM intelligence at OpenAI. You will own a flexible portfolio of high-impact decision data products and work closely with Technical Success and other GTM teams to ensure the work drives better decisions. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. You will set the roadmap and methodology, build canonical features, ship reliable production workflows, monitor quality and adoption, and improve the systems using field feedback and business outcomes. This role combines hands-on technical depth with strong product and business judgment. You should be as comfortable writing production Python and advanced SQL, defining durable data contracts, and operating decision products as you are evaluating a ranking approach or designing an experiment. You will personally ship reliable first versions and partner with Analytics Engineering and Data Engineering when work requires shared infrastructure or additional scale. In This Role, You Will Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems. Own the full lifecycle of intelligence products, including feature definition, methodo

Perplexity is looking for a Design Engineer to help turn perplexity.com into a real growth engine, not a pile of one-off pages. You'll sit shoulder to shoulder with brand designers, PMMs, growth, and content teams, shipping product launch pages, campaign landing pages, and the components and tooling that let those teams move fast without lowering the bar. This is a hands-on role for someone with real taste, sharp attention to detail, and the speed to turn a Figma file, a Slack thread, or a rough sketch into a polished, shipped page quickly. Tech stack: React, TypeScript, Tailwind CSS, Sanity What you'll do Ship product launch pages and evergreen marketing pages for products like Comet, Computer, Deep Research, Search, and Hub. Own the work from Figma handoff to production. Partner with brand designers to build interactive experiences that make the site feel alive and drive engagement. Maintain and extend our brand design system and component library, keeping Figma and production in sync so brand and creative can scaffold pages with guardrails. Work closely with the paid ads and growth teams to run A/B tests on landing pages, popups, and upsell modules. Read the results, then iterate. Migrate the leftover Framer collections to Sanity, model schemas that non-engineers can actually use, and help ship new content types like changelog, customer stories, and academy pages. Design and unblock yourself when design resources are constrained. You can take a rough direction and turn it into something worth shipping. Improve the tools around the work: CMS workflows, i18n, SEO, experimentation, and internal tooling for marketing self-serve. If a manual process is slowing the team down, you should want to fix it. What you need 3+ years of experience as a front-end or design engineer, ideally on a marketing or growth site. A portfolio site that shows your previous work on marketing sites and design work. Strong skills in React, CSS, and modern frameworks. Deep understanding of res

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

Job Description: Data & Analytics Engineer (3-4 Years Experience) : 100% Remote Job Title: Data & Analytics Engineer Experience: 3-4 years Location: Remote Employment Type: Full-time Team: Data Engineering & Analytics About the Role Eltropy is a digital conversations platform for credit unions and community financial institutions in the US. The Data Engineering & Analytics team builds the AWS data pipelines and customer-facing dashboards that power analytics across the platform. We are looking for a Data & Analytics Engineer with 3-4 years of experience who can own dashboard delivery end to end along with the pipelines behind it. The ideal candidate learns fast, builds product context quickly, listens well, and collaborates effectively across product, engineering, DevOps, and customer-facing teams. Key Responsibilities Own dashboard changes end to end in QuickSight and ThoughtSpot - new metrics and filters, SPICE refresh management, internal-to-production promotion, and post-release validation. Build and maintain batch and streaming ETL pipelines on AWS using Glue (PySpark), S3, Redshift, and Airflow (MWAA) DAGs. Write and optimize Redshift SQL; debug query performance, connection contention, and data mismatches across sources. Support near-real-time ingestion (Kafka/MSK CDC → Glue Streaming → S3 → Redshift). Investigate customer-reported analytics discrepancies (Jira/support tickets), root-cause them in the data, and communicate findings clearly to support, product, and engineering. Set up and respond to pipeline monitoring - CloudWatch metrics and alarms, monitoring DAGs, refresh health - and participate in incident triage and RCA. Develop deep product knowledge: understand what each metric means to our credit union customers and translate product changes into data model and dashboard updates. Ensure data quality, validation, and consistency across systems. Required Skills & Qualifications 3-4 years of experience in data engineering and/or