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About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are seeking a detail-oriented and technically savvy Injection Molding Cost Estimator to support quoting, pricing strategy, and business development. This role bridges engineering, tooling, and operations—turning customer RFQs into clear, competitive, and accurate proposals. You’ll analyze part geometry, material specs, mold complexity, and production volumes to model cost scenarios and recommend pricing strategies aligned with Atomic’s margin goals and value proposition. Key Responsibilities Review and analyze RFQs, part files, prints, and customer requirements Estimate complete part cost: material, cycle time, labor, machine time, overhead, and secondary ops Quote mold/tooling costs using internal templates and inputs from tooling team Identify and model different pricing strategies: full tool cost, subsidiz

aiExcelCRM
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About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are looking for a skilled and hands-on Injection Molding Process Technician to support setup, optimization, and troubleshooting across our press lineup. You’ll be responsible for ensuring machines run efficiently and consistently—meeting quality targets, minimizing scrap, and reducing downtime. This role is critical to our ability to run complex molds at high volumes with the tightest tolerances. Key Responsibilities Set up molds, material, and auxiliary equipment per production schedule Start, stop, and dial-in injection molding processes to meet part specs and cycle time targets Monitor machine performance and make real-time adjustments to pressures, speeds, and temperatures Conduct first-piece inspections and approve production startups Identify and troubleshoot part defects, flash, short shots, and dimens

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Airtable
📍 San Francisco• Full-time• From $240K/yr
8mo ago

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is used by more than half of the Fortune 500 companies to power their mission-critical initiatives. Enterprise customers leverage Airtable to build sophisticated apps, and orchestrate deep, end-to-end workflows. As we continue to scale, our teams are building the systems to ensure the security and governance of our customer’s data - from secure handling of file attachments to enterprise key management. These are advanced systems that provide robust security measures to protect our user’s data. We are seeking Engineering Managers to join our Enterprise engineering pillar, focused on scaling product experiences for our biggest customers. We currently have openings on: The Admin & Governance Team: As AI becomes central to Airtable, enterprise customers need governance controls that let them adopt AI confidently, with granular feature enablement, capability-based restrictions, and full admin visibility. The Admin & Governance team is building that control plane – the AI Governance framework that gives admins those controls at every level of the enterprise. This work builds on the team's deep ownership of Airtable's enterprise trust infrastructure: the Admin Panel, SSO, audit systems, and User Groups that power governance for our largest customers. We're looking for a leader who can drive the AI Governance roadmap, scale the team's existing enterprise trust systems, and directly unblock adoption for our largest customers. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level that are based in San Francisco or New York City who are open to coming into the office at least ~2-3 times/week for

awsrestai
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Harvey
📍 Canada• Full-time• Remote• C$196.8K – C$295.2K/yr
8mo ago

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Full Stack Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move

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Harvey
📍 Canada• Full-time• Remote• C$196.8K – C$270.6K/yr
8mo ago

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Engineering Manager, Product at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move betwe

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Good Inside
📍 New York• $205K – $235K/yr
8mo ago

Who We Are Good Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community. Our mission: help parents raise resilient, confident kids in a changing world. We’ve already reached millions, and we’re just getting started. We’re refining our product and expanding our reach to empower even more families. We’re looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change. The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role – we’re looking for a strong backend engineer who has hands-on experience shipping ML-powered features in production. You’ll work at the intersection of backend systems and machine learning, building the infrastructure and services that bring personalized, intelligent experiences to our users. You should be comfortable working with ML APIs, understanding core ML concepts, and integrating models into reliable, scalable backend systems. Your primary identity is as a software engineer – someone who writes clean, production-grade code – with the added ability to reason about ML systems and bring them to life in our product. You will collaborate closely with cross-functional partners, including product, design, mobile, and data teams, to build high-quality features that serve our users’ needs. Your ability to blend backend engineering excellence with practical ML knowledge will be essential as we continue to evolve and scale the Good Inside platform. What You’ll Own Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform Integrate and orchestrate ML models and third-party ML APIs (

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About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We’re hiring a Senior Injection Molding Maintenance Technician to lead preventative, corrective, and emergency maintenance across our molding operations. You’ll be responsible for keeping our presses, robotics, and support equipment running at peak performance with minimal downtime. This is a hands-on role requiring deep mechanical, electrical, and hydraulic knowledge—especially with large-tonnage machines (500T–2000T). You’ll also play a key role in shaping our PM program, tracking downtime data, and helping scale a next-generation factory. Key Responsibilities Troubleshoot, diagnose, and repair injection molding machines (190T–2000T), robots, dryers, chillers, and other auxiliary equipment Perform mechanical, electrical, pneumatic, and hydraulic repairs with minimal supervision Develop and execute preventive m

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is a tech company with a human story to tell. We’re here to empower teams to manage projects, automate workflows, and rapidly build new secure solutions, using simple no-code tools. We’re revolutionaries – so for us changing the way the world works is all in a day’s work. As a global leader in Intelligent Work Management with a market cap of $10bn, we’ve continued to scale our engineering presence internationally. Since expanding into Bulgaria in October 2024, we’ve grown to a team of 75+ engineers. As we continue building this operation, we’re looking for a talented and motivated Senior Software Engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. Smartsheet runs on a modern SaaS stack hosted on AWS, with infrastructure defined and managed as code using Terraform and strong engineering best practices. Our core platform includes a legacy Java monolith alongside a growing ecosystem of microservices, primarily built in Java and Go (with a small number of Kotlin services). On the front end, product teams that deliver UI experiences use React. You will work remotely from Bulgaria and will be reporting to an engineering leader. You Will: Work on all aspects of software development, including back-end, front-end, cloud infrastructure, and test automation. Drive high standards for internal services and open-source tools, ensuring reliability and scalability. Deploy services and infrastructure changes frequently in an agile environment using full CI/C

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Snowflake
📍 Menlo Park• Full-time• Remote• $157K – $230K/yr
8mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Data Cloud allows sharing live data in governed and secure ways so our customers can solve their business problems. Data Cloud allows sharing live data in governed and secure ways so our customers can solve their business problems. Come join our world-class team as a Software Engineer to build the backend services for data cloud to help our customers to share data internally within their company or outside with external organizations. We are investing in initiatives across multiple engineering areas that include: Data Engineering & Open Lakehouse, Database Engineering, Engineering Systems, Product Experiences, Apps & Collaboration,Platform Engineering, and Public Sector, Security and Governance AS A SOFTWARE ENGINEER, YOU WILL: Design and build features, and/or distributed platforms at scale. Drive impactful initiatives for the globally distributed infrastructure Collaborate with product managers, architects, other engineering teams, and business groups, to drive end-to-end solutions. Contribute to improving our en

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Nuro
📍 Mountain View• From $193.9K/yr
8mo ago

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We’re a team applying ML to push autonomy performance forward. As a Perception ML Engineer, you’ll develop and improve perception models, with ownership of modeling, training, and evaluation. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely. Design and advance perception models that: Improve scene understanding from real sensor data, including 3D and spatial representations Generalize across sensor platforms, geographies, and rare driving scenarios Meet requirements for model quality and onboard inference runtime Tailor Your Impact: Applied ML Depth: Own model architecture, loss design, training, and experiments that deliver measurable perception improvements. Collaborative Delivery: Partner with ML Data Infrastructure and autonomy engineers, contributing across the stack when needed while keeping primary ownership in modeling. About the work You’ll so

pythonaic++
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Job Title: Product Technical Specialist Location: 100% Remote (India) | US Shift US Pacific Timezone, working hours may vary in the hours of 5am-5pm PT depending on current staffing demands About the role: As a Product Technical Specialist, you will be the trusted technical expert for our customers, ensuring they have a seamless and reliable experience with our SaaS platform. This role is for a natural problem-solver who thrives on diving deep into complex technical issues. You will be the backbone of our support operations, diagnosing and resolving intricate problems related to our AWS-hosted environment, networking configurations, and integrated phone systems. You are energized by a fast-paced environment and are passionate about providing world-class support through phone, email, and chat, ready to tackle any challenge that comes your way, including participation in a rotating on-call schedule to provide critical support. Role & Responsibilities: Provide high-quality, real-time technical support to customers via phone, email, and chat, managing multiple issues simultaneously. Analyze, troubleshoot, and tune AI systems to ensure chatbot and voice bot interactions remain highly accurate and effective for credit union members. Explain complex AI functionalities, configurations, and system options directly to clients to ensure they maximize the value of our platform. Identify AI product bugs and anomalies, clearly articulating the underlying technical issues and their direct client impact to Product and Engineering teams. Act as an internal AI subject matter expert, creating documentation and passing along your specialized knowledge to upscale the rest of the support team. Lead technical troubleshooting sessions with customer IT teams, diagnosing and resolving complex issues related to networking (VPNs, firewalls, whitelisting), cloud infrastructure (AWS), and integrated phone systems. Utilize Zendesk to

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Datadog
📍 London• Full-time• From $100K/yr
8mo ago

Our Strategic Account Executives target and close new business with Datadog’s largest, most strategic customers and prospects. In this role you’ll be focused on uncovering the pain points organizations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of field selling within mid-market and enterprise) Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune 1000 companies with the ability to win new logos Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs Datad

About Atomic Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role We are seeking a manufacturing engineer to help build and launch a high-volume, highly automated injection molding plant. You will work closely with the Plant Manager to design and bring up molding cells, specify and commission equipment, and engineer production lines to run at high yield and uptime from day one. This is a hands-on, execution-focused role. You will be responsible for engineering the full molding cell—from material handling to press automation to part packaging—not just optimizing isolated processes. The ideal candidate has launched automated molding lines in fast-moving, high-mix environments and is comfortable taking ownership of throughput, quality, and cycle time from end to end. Responsibilities Engineer, design, and commission complete injection molding cells, including presses, EOAT, robotics, dryers, vision

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Datadog
📍 Singapore• Full-time• From $100K/yr
8mo ago

Our Enterprise Sales Executives target and close new business with Datadog’s largest, most strategic customers and prospects. In this role you’ll be focused on uncovering the pain points organizations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Prospect into large Enterprise companies (>5000 employees) in Vietnam while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 3+ years closing experience (mix of field selling within mid-market and enterprise) in Vietnam while running an efficient sales process Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune 1000 companies with the ability to win new logos You have business-level fluency, both in verbal and written communication, in Vietnamese as you wi

aigorust
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Celonis Services is a strategic organization focused on optimizing our customers' business processes through technical expertise. We integrate Consulting Services, Academy, and Customer Support to deliver comprehensive solutions. As thought leaders with deep product, technical, and domain expertise, we specialize in implementing Celonis to drive the adoption of process intelligence, ultimately transforming and improving our customers' core business operations. We achieve this by leveraging our best practices, extensive delivery experience, award-winning enablement programs, and robust support infrastructure. The Role: As a Lead AI Deployment Architect, you will work directly with customers to understand their problems and design, deploy and scale innovative AI solutions and automations using our Process Intelligence platform. In a pre-sales and post sales capacity you will work closely with other AI experts across Product & Engineering and GTM to standardize these solutions and bring them to our customer base at scale. We are ideally looking for individuals with in-depth practical experience in delivering solutions to our customers. The work you’ll do: Architect & Deploy: Prototype, develop, and scale end-to-end AI

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