Production Scheduler Enhancement Engineer Jobs

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr AI Architect - Conversation AI. About the job This position is critical to leveraging Twilio’s massive data ecosystem and unmatched communication scale to build our customer facing AI capabilities, such as Twilio Conversational Memory, Enterprise Knowledge, Behavioral Data Intelligence and many more to power the future of our customer engagement platform. As a Sr. AI Architect for Twilio Platform, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. You will drive cross-organizational initiatives, solve complex technical challenges, and elevate the technical standards across all of Twilio. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission. As a Sr AI

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas. We're looking for a deeply technical product leader to lead the four teams responsible for Figma's Roundtripping area: Code Context, Design to Code, Code to Design, and Code Platform. You'll manage and grow a team of Product Managers while partnering closely with engineering, design, data, and research leaders. This team builds the products and platform capabilities that help design and code move fluently together. You'll set the strategy for improving connecting customer codebases to Figma. This is a full-time role that can be held from our New York hub or remotely within the Eastern US time zone. What you'll do at Figma: Lead the product aspects of the four teams driving Figma's Roundtripping area - Code Context, Design to Code and Code to Design, and Code Platform Set vision, strategy, and goals for how design and code stay in sync at Figma Own Design to Code and Code to Design workflows end to end, including quality measurement, improvement, and discoverability Guide the development of the code-context systems and translation primitives that power agentic workflows and round-tripping between design and code Manage and develop three Product Managers, hire the team's open Product Manager role, and establish a high bar for product managemen

itD is seeking a DFT (Design For Test) Lead to drive the implementation and integration of advanced Design-for-Test (DFT) solutions across the silicon development lifecycle, ensuring highly testable, manufacturable, and reliable ASIC designs. The ideal candidate will bring deep expertise in ASIC DFT methodologies, post-silicon validation, and test architecture development, with a proven track record of delivering production-ready silicon through cross-functional collaboration. Location: Hybrid in Carlsbad, CA or Allentown, PA , or U.S. Remote . Candidates must be available to work Pacific Time business hours (9:00 AM–5:00 PM PST). Duration: 14 months We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Lead the implementation of hardware Design-for-Test (DFT) features, including scan, memory BIST (MBIST), BISR, boundary scan, and DFT simulation setup and debugging. Develop innovative DFT IP in collaboration with cross-functional engineering teams and integrate testability features into full-chip RTL designs. Drive reusable DFT and debug methodologies for next-generation silicon devices, including bare die and stacked die architectures. Perform post-silicon debugging, root cause analysis, and production qualification activities to improve silicon yield, reliability, and manufacturability. Collaborate with physical design, validation, and hardware engineering teams throughout the complete silicon product lifecycle. Design, validate, and release ATPG patterns while supporting manufacturing test readiness and production ramp. Develop technical solutions and resolve complex DFT challenges with minimal supervision while providing technical leadership to the broader engineering team. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on ind

Role Description: As a Team Lead at Defense Unicorns, you will serve as the technical backbone of our hackathon program: setting the architecture, integration patterns, and technical guardrails every event runs on. You'll work across the team to design, plan, and execute large-scale, community-facing hackathon events throughout the year, moving fluidly between technical strategy and energizing a room full of mission heroes, operators, and builders. You'll evaluate and integrate the right mix of partner technologies (cloud providers, Defense Unicorns' own platform and tooling, and the broader defense vendor ecosystem) into a durable reference architecture that works within controlled environments. You'll serve as a credible technical voice with government stakeholders and industry partners, ensuring every hackathon is built on a foundation that sets participants up to succeed and produces outcomes that can transition to production. Responsibilities Technical Direction and Architecture Set and own the overall technical direction for each hackathon, ensuring solutions are grounded in UDS and Defense Unicorns' platform and tooling philosophy Evaluate and integrate partner technologies and third-party tools to ensure broad compatibility across the diverse technology stacks participants bring Define technical guardrails, reference architectures, and integration patterns that guide participant teams toward durable, deployable outcomes Identify technical risks early and develop mitigation strategies in partnership with the Mission Manager Stakeholder Engagement Serve as a technical voice in external engagements with government mission heroes, industry partners, and hackathon participants Translate complex technical capabilities into compelling narratives that communicate mission impact and drive stakeholder buy-in Build enthusiasm and credibility with a wide range of audiences, from senior government decision-makers to individual contributors on participant tea

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. New York Times Cooking is looking for a video journalist to bring engaging documentary and storytelling-focused videos to our on- and off-platform audiences. This person will pitch, report and produce compelling videos with an emphasis on storytelling, done through the lens of food and cooking. The right candidate will have a background in digital video, hands-on experience and excellent skills in all aspects of production. They should have a passion for creating engaging food content, always on the lookout for stories that can be turned into videos that delight and inform our audience. They should also be data-driven, knowledgeable about Youtube, creative and have strong instincts around telling stories that engage and provide service in a crowded, fast-paced online video landscape. Collaboration and collegiality are a must. Above all, we are looking for someone who works well in a team environment. Responsibilities: Pitch, shoot and edit multi-camera videos in the field with a focus on personality-driven storytelling through the lens of food and cooking. Produce and lead episodes of new and established NYT Cooking series and formats. Collaborate with team members and freelancers to create videos at a level consistent with The Times’s journalistic standards. Build out crews and coordinate logistics between in-house production and freelancers. Collaborate during the editing process by providing helpful and effective notes on vide

Opportunity Overview: We are seeking a Senior Forward-Deployed Engineer to join our Forward Deployed Engineering team at Cohere Health. In this highly technical, customer-facing role, you will own end-to-end technical integration work with enterprise customers and partners—from pre-sales through production deployment—bridging complex healthcare systems with Cohere’s AI-first platform. You’ll partner closely with Engineering, Product, Solutions Architecture, and Customer Success teams to design and execute sophisticated integrations that improve access to care for millions of members. What you’ll do: Own end-to-end technical integration design and execution for enterprise customers, from initial scoping through production deployment, serving as the primary technical authority throughout Lead technical discovery, scoping, and proof-of-concept work during pre-sales cycles, creating technical proposals and estimates to validate feasibility for prospective customers Design system architectures that bridge customer IT environments with Cohere’s platform, making key architectural decisions that balance customer constraints with platform capabilities Work hands-on with AI/ML-enabled healthcare features—including clinical decision support, automated review, and intelligent routing—ensuring they meet regulatory requirements and clinical safety standards Produce high-quality technical artifacts including integration designs, architecture diagrams, data mappings, API implementation guides, and operational runbooks Build reusable integration patterns and templates that scale across customers, and continuously identify opportunities to improve platform capabilities based on implementation learnings Collaborate cross-functionally with Engineering, Product, Solutions Architecture, and Customer Success teams to drive successful go-live outcomes and mentor junior team members What you’ll need: 6–10+ years of software engineering experience with a strong backend/systems focus H

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the Observability Platform Team The Observability Platform team exists to make production legible to every engineer and AI agent at Wealthsimple, on their first day and every day after. Every request, job, and user action produces a signal, and our job is to turn that signal into a fast, high-cardinality data asset that anyone can question. A business stakeholder investigating a drop in conversions, a service owner tracing a slow endpoint, an engineer validating a release, and an AI agent confirming its own change should all reach for the same data and get an answer in seconds. We treat the platform as a product, and the engineers, service owners, and business stakeholders who depend on it as our partners. Our mission is to build the wide-event data model, the query foundation, and the golden paths that connect people to production data. We instrument on open standards such as OpenTelemetry so switching costs are a configuration change rather than a rewrite, and we optimize for the questions people did not anticipate rather than for pre-built dashboards. As the founding Software Development Manager for this team, you will hire and lead the engineers who build this foundation, and set the technical vision that shapes how Wealthsimple understands its systems for years to come. In this role you'll have the opportunity to: Build the wide-ev

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it. We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice. Key responsibilities Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review Work with engineering teams outside GTM on shared architectural problems and common tooling, where the right answer is a platform decision rather than a local one Bui

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects. If you’re a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat! What You Will Be Doing Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane) Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses Partner with our infrastructure engineering team to ensure high availability of all key data assets Build and scale our data governance policies Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels Qualifications We Need Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks) Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success. Experience deploying data governance frameworks with a scalable and repeatable process Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that 3+ years of relevant experience working in a data eng

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects. If you’re a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat! What You Will Be Doing Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses Scale our terraform deployment across all of our Snowflake assets Continue to advance our data governance policies Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels Qualifications We Need Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks) Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success. Experience deploying data governance frameworks with a scalable and repeatable process Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that 3+ years of relevant experience wor

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se

About the Role: We're looking for a Senior QA Engineer to drive quality across multiple concurrent projects, partnering closely with product and engineering to catch risks before they reach production. This role blends hands-on manual and automated testing with process ownership and mentorship of others. Specific responsibilities: Review and validate requirements and technical specifications; partner early with product managers and developers to define acceptance criteria and ensure testability Design and execute test cases covering functional, integration, regression, API, and end-to-end testing across web and mobile (Android/iOS) applications Write manual and automated tests; work with the Test Automation team to build and maintain automated test suites Log, track, and perform root cause analysis on defects through full resolution Document test results and provide observations on product quality and process improvements Establish and monitor QA KPIs; support and enhance test processes and reporting Manage testing efforts across multiple projects under tight deadlines with minimal supervision Mentor and support fellow QA Engineers Leverage AI-powered tools to improve test coverage, accelerate defect analysis, and support overall test efficiency [see note below] What you’ll need: Minimum of 7+ years of quality assurance experience Strong understanding of QA methodologies, defect lifecycle, and SDLC/STLC Experience with Agile software development methodologies Experience writing test cases in BDD/Gherkin syntax Hands-on experience with at least one test management tool (e.g., Jira/Xray, TestRail, Zephyr) Preferred Qualifications 2+ years building automated tests with Playwright and TypeScript Experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins) Familiarity with AI-assisted testing tools (e.g., AI-generated test cases, code-assist tool

JOIN OUR TEAM As a Senior Software Engineer on our Web & API team, you will play a key role in shaping and evolving our e-commerce storefront. Working across the full stack, from React components and data integrations to AI-powered features, you will take ownership of complex features end-to-end, from specification and architecture through to delivery and monitoring. In close collaboration with Product and Design in an agile environment, you will combine a keen eye for performance with a drive to build experiences that delight millions of customers. Your curiosity for emerging technologies will help the team work smarter, ship faster, and continuously push the boundaries of what is possible. This position is permanent and based in Munich . WHAT YOU'LL DO Design, build, and maintain features end-to-end across the storefront and mobile API, from specification through server-side data loading and UI to production release and maintenance Build and extend integrations with our e-commerce, headless CMS, search, analytics, and experimentation platforms Build AI-powered user-facing features, directing and reviewing AI coding agents in your own and the team's workflow while owning the correctness, security, and maintainability of everything that ships Own the caching, rendering, and performance strategy for the storefront and mobile API Partner with Product Managers and Designers to turn business goals into performant, high-quality user experiences Champion code quality and reliability through testing, code reviews, and the conventions and context that keep the codebase healthy for both engineers and AI agents as it grows YOU COME WITH Deep expertise in React, TypeScript, and modern frontend development, backed by strong software architecture skills and solid engineering principles A sharp focus on performance across the stack, from frontend rendering to backend data fetching, including server-side rendering (ideally with React Router) and GraphQL Strong specification and ar