Production Line Management Engineer Jobs

Why us? Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you will make an impact Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies What you need to succeed 4+ years of relevant experience Experience building and using machine learning models with clear and measurable business impact Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL Comfortable working in production-oriented codebases, including using Git for version control An interactive and collaborative approach to delivering ML-powered data products Quick learning ability and a drive well-suited to a fast-paced startup environment Experience clarifying ambiguous business problems and translating them into effective

Why us? Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you will make an impact Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies What you need to succeed 4+ years of relevant experience Experience building and using machine learning models with clear and measurable business impact Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL Comfortable working in production-oriented codebases, including using Git for version control An interactive and collaborative approach to delivering ML-powered data products Quick learning ability and a drive well-suited to a fast-paced startup environment Experience clarifying ambiguous business problems and translating them into effective

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role As a Field Engineer, you will own the technical scoping and implementation of the most complex requirements that Decagon's enterprise prospects and customers bring to us. You will be the technical expert and trusted advisor to enterprise prospects and customers, proving technical feasibility during the evaluation, and may carry that work through to production. The role is dynamic and cross-functional. You will build complex integrations, configure and optimize agents that deploy into production environments, partner with Solutions Engineers, Product and Engineering to build features your accounts require, and establish technical credibility with stakeholders across the C-suite, platform engineering, and CX organizations. In this role, you will Own the technical win on Decagon's most critical enterprise opportunities, partnering with Account Executives, Solutions Engineers and Agent Product Managers to build software and agents that turn sophisticated, skeptical buyers into signed cus

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. The Person Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA. The Role: We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. Responsibilities: Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process Define and implement DFT architecture and features for next-generation AI des

About the Team OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role You will be a Senior Android engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale. You might thrive in this role if you: Have 4+ years of professional software engineering experience. Have a proven track record of building high-quality Android applications in production. Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components. Prioritize performance, security, and user experience in mobile development. Enjoy working cross-functionally to bring ambitious product ideas to life. Care deeply about performance, security, and user experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We

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 As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production d

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. What you’ll do: Manage end-to-end release cadences for both DataHub Core (OSS) and our Managed Cloud Coordinate cross-functional teams including engineering, product, QA, DevOps, documentation, and customer success Define Quality Gates: Establish the "Go/No-Go" criteria that ensure every release is rock-solid Build Automation: Design the dashboards and runbooks that turn manual release chaos into a streamlined machine Risk Mitigation: Identify breaking changes and dependency conflicts before they hit production Serve as the central point of contact for all release-related questions and updates Facilitate release retrospectives and drive continuous improvement initiatives Required Qualifications 5+ years of experience in technical program management or release management roles Proven track record of managing complex software releases in fast-paced startup environments Deep understanding of software development lifecycles, CI/CD practices, and DevOps principles Experience with both open-source and enterprise software release models is a strong plus Strong technical background with ability to understand architecture, dependencies, and technical trade-offs Excellent project management skills with proficiency in tools like Jira, Linear, or similar Outstanding commun

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About the Team: AI Search The AI Search team owns Bloomreach’s core search platform, serving hundreds of millions of queries per day across enterprise customers. We build and operate highly scalable, low-latency systems that combine traditional information retrieval with modern ML-driven ranking and semantic understanding — all in production at scale. This team sits at the intersection of systems engineering, search relevance, and applied ML , with direct impact on customer revenue and experience. The Role: As a Senior Staff Engineer , you will be a technical leader responsible for shaping the architecture and long-term evolution of Bloomreach’s Search platform. You will lead complex initiatives, set technical direction, and mentor engineers, while remaining deeply hands-on. This role is ideal for someone

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. Your Role: As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment Develop agent orchestration systems that help security practitioners automate repetitive security tasks Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements Ship production-ready agent capabilities that run efficiently in resource-constrained environments Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fall short C

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking a highly motivated Hardware Signal Integrity (SI) Engineer for Everpure’s Datastore team. In this role, you will own high-speed signal integrity analysis, simulation, and measurement for enterprise SSD platforms. WHAT YOU'LL DO Own signal integrity analysis for SSD hardware from architecture through production. Drive board-level SI decisions, including: PCB material selection, via structures, loss tradeoffs, stackup definition and channel optimization. Perform SI simulations including: Insertion loss (IL), return loss (RL), crosstalk, TDR / impedance profiles. Lead TDR and S-parameter measurements, including: measurement setup, Calibration and de-embedding. Perform 3D-EM extraction and simulation for vias, connectors, and complex channel structures. Correlate simulation results with lab measurements to refine models and design assumptions. Use and customize IBIS and IBIS-AMI models for PCIe, NAND and DDR channel analysis. High speed signal eye diagram and margin analysis. Support debug activities where SI is a contributing factor. Perform Power Integrity (PI) simulations. Collaborate cross-functionally with PCB design, system, firmware, mechanical, and test teams to ensure robust SI solutions. Document SI design guidelines and best practices to enable scalable, repeatable designs. Provide technical leadership and mentorship to junior engineers. We are primarily an in-office environment and therefore

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our office or remotely in the United States. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 10+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery Strong coding skills in Go (Golang), Python, C, C++, or Rust Proven track record of building and operating large-scale distributed systems or cloud platform infrastructure Hands-on experience using Terraform, CloudFormation, or Ansible for automated infrastructure provisioning Demonstrated experience owning infrastructure in Linux,

We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything on Bubble, and our community is living proof. Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps . Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. About the team: We have