Ship Suitability Engineer Jobs

About the Team Netlify runs on usage. Developers buy credits, teams consume compute and bandwidth, and enterprises commit to spend. The Accounts and Billing area owns how all of that works: the accounts foundation every customer signs into, the billing platform that meters and charges them, and the pricing and packaging model that sets what they pay. It sits at the center of how Netlify grows, and it touches Finance, Growth, UX, Sales, and the executive team. As a Staff Product Manager, you’ll help define and evolve Netlify’s monetization model, bringing a strong point of view while partnering across the company to make high-impact decisions, and you will build hands-on next to engineering, Finance, and design rather than run a team from above. You’ll collaborate closely with senior leaders, including the CEO and CFO, as we continue to evolve Netlify’s pricing and packaging strategy. What You'll Do Lead the strategy and evolution of pricing, packaging, and monetization, including plans and tiers, the credit and usage model, seat-versus-consumption economics, on-demand and overage rates, enterprise commitments and discounting, storage pricing, regional pricing, and annual plans. Ship billing as a product: metering accuracy, invoicing, payments, refunds, and customer-facing usage visibility, including the billing and usage interfaces enterprises are asking for. Steward the accounts foundation: sign-up and authentication, identity, orgs and teams and seats, roles and permissions, account security, and fraud and abuse at the top of the funnel. Build and lead the pricing and packaging experimentation program, using data, customer insight, and sound judgment to guide decisions: product analytics, conversion and activation, and credit-consumption telemetry. Partner with Finance to develop pricing approaches that balance customer value, business goals, and long-term sustainability. Partner with engineering and cross-functional stakeholders to set priorities, evaluate tradeo

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Sales Development Representative: We’re New Relic , and we’re not just another SaaS company—we’re the global leader in observability, giving the world’s best tech teams the X-ray vision they need to thrive in an AI-first world. In a time where digital transformation is moving at lightning speed, we are the reason the world's biggest platforms stay online and perform at their peak. We need a driven, resilient, and resourceful sales pro to join our Australia team and fuel the rocket ship. If you view cold calling as a high-stakes sport and pipeline generation as your personal masterpiece, you belong here. Your Opportunity: The Pipeline Catalyst As a Business Development Representative (BDR), you are the face of New Relic in one of the most exciting tech hubs on the planet. You’ll partner directly with our high-performing Account Executives (AEs) to land deals within APJ’s most innovative unicorns, disruptors, and established enterprises. What You’ll Be Doing (Your Superpowers at Work) The Hunt: Master outbound strategy. Generate new business opportunities within the APJ market through tailored cold calls, personalized emails, and savvy social selling. The Qualifier: Be the detective! Quickly understand customer pain points—what's keeping Indian CTOs and DevOps leads up at night?—and articulate exactly how New Relic solves it. The Strategist: Team up with your AEs to map target accounts across various sectors (Fintech, E-commerce, EdTech, and many more!), identify decision-m

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About Mixpanel Engineering Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Product innovation drives our business, and product engineering teams own that responsibility. The Product Engineering org is responsible for building our core product that delivers insights to customers. These teams are defining the next phase of our AI-led product experiences and are uniquely positioned to build the next generation of AI-first products. We build the tools product managers rely on to understand users, protect revenue, and scale companies. As we move toward IPO, our work evolves from showing what happened to explaining why. This shift unlocks deeper insight, better decisions, and the next generation of analytics. About the Role The Director of Engineering, reporting directly to the CTO, will be responsible for all of Product Engineering. You'll own the core analysis experience that product managers and engineers rely on daily, the growth infrastructure that brings new builders into the product and keeps them there, and the platform capabilities that let teams test and ship with confidence. Success is measured by revenue and retention. What You'll Do Lead multiple engineering teams across different product areas. This role is for someone who develops people seriously and holds a high bar for execution. Build an AI first product analytics for the next generation of software Hire well, coach deeply, and build a culture where engineers feel ownership and pride in what t

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Proactive Insights team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you. We answer the question every data-driven team asks: "What changed, why, and what should I do about it?" We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel. Some examples of what we are building: AI-powered root cause analysis : intelligent agents that diagnose why metrics changed, identify contributing factors, and recommend what to do next AI automations for KPI monitoring : always-on agents that track your key metrics and deliver insights to Slack, email, or directly in Mixpanel Intelligent alerts and anomaly detection : monitoring powered by models like TimesFM that surfaces meaningful shifts in your data About the Role As a Software Engineer on Proactive Insights, you'll build the features that transform how teams stay on top of their data. You'll work across the full stack, from React frontend experiences to Python backend services to integrating with our query engine, to ship workflows that surface insights users didn't know to ask for. You'll collaborate closely with Product and Design to shape what proactive analytics looks like, and with our AI Engine team to leverage shared infrastructure for orchestration, evaluation, and observability. This is a high-impact role on a small, fast-moving tea

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 looking for an Autonomy Engineer focused on onboard autonomy—the software that runs on the robot/vehicle/embedded computer and makes real-time decisions using onboard sensors and compute. You’ll build and ship reliable autonomy features that operate under tight latency, compute, and safety constraints in the real world. What You’ll Do Develop, integrate, and deploy onboard autonomy behaviors (e.g., navigation, obstacle avoidance, lane/route following, docking, interaction behaviors). Implement and maintain real-time decision-making components: behavior planning, state machines/behavior trees, local planning, and control interfaces. Build robust sensor-driven autonomy pipelines on-device (camera, lidar, radar, IMU, wheel odometry, GNSS), including synchronization, calibration hooks, and fault handling. Optimize autonomy performance for latency, CPU/GPU usage, memory, and power on embedded compute (e.g., NVIDIA Jetson,

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 Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™ - from distributed GPU training and closed-loop reinforcement learning, to the workflows, orchestration, observability, and cost management that keep the fleet running efficiently. Our work sits directly on the critical path of autonomy development. When a training run stalls, when a pipeline silently regresses, or when GPU utilization slips, it shows up in how fast the rest of the company can ship. We care as much about reliability and operational maturity as we do about raw scale. About the Work Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration. Design and operate large-scale data pipelines - batch and strea

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 Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™ - from distributed GPU training and closed-loop reinforcement learning, to the workflows, orchestration, observability, and cost management that keep the fleet running efficiently. Our work sits directly on the critical path of autonomy development. When a training run stalls, when a pipeline silently regresses, or when GPU utilization slips, it shows up in how fast the rest of the company can ship. We care as much about reliability and operational maturity as we do about raw scale. About the Work Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration. Design and operate large-scale data pipelines - batch and strea

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 Team We're looking for a Fullstack Software Engineer to join the Fleet Platform & Operations Tooling team. You'll build the internal tools and platform systems that Nuro's operations, engineering, and partner teams rely on to manage, monitor, and maintain our autonomous vehicle fleet. This is hands-on product engineering work at the intersection of fleet operations and software infrastructure. You'll own features end-to-end — from building responsive frontends that surface real-time vehicle and fleet data, to designing backend services that integrate with onboard systems, cloud infrastructure, and partner APIs. The systems you build will directly impact how reliably and efficiently Nuro operates vehicles on public roads. You'll report to the Technical Lead Manager for On-Road Experience. What You'll Do Design, build, and ship full-stack applications using React, TypeScript, and modern web development practices. Develop

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 Nuro is looking for a People Systems Analyst to drive Workday operations, reporting, and workforce analytics for our People Operations team. You will own production support alongside two other analysts, build dashboards and analytics for leadership, and keep core people operations running. We are a lean, high-impact team that has invested heavily in AI-powered automation, and we are looking for someone who brings real Workday experience but thrives in a scrappy, fast-paced environment where you build, iterate, and ship. About the Work Workday Systems and Configuration Provide Tier 1 production support for Workday, including business process definitions and validations, EIB files, calculated fields, and transactional processing With direction from the Sr. Workday Analyst, configure, test, and implement new release features in implementation tenants prior to release dates Write test scripts and participate across every phase

The Team + The Role Pendo's Product Marketing team translates what we build into why it matters. The team works at the intersection of product, revenue, and marketing, owning the narratives, positioning, and go-to-market motions that drive pipeline and commercial outcomes. It operates as a small, senior team with high ownership, low overhead, and a strong bias toward work that moves the business forward. Pendo is looking for a Sr. Product Marketing Manager to play a key role in our growing Enterprise business. You will partner closely across Product, Sales, and Marketing to package and position Pendo's offerings as powerful solutions for Enterprise clients. This is an individual contributor role for a builder who can create, test, adapt, and make an immediate impact in a fast-moving, AI-native environment. This is a remote role in the US. We have offices in San Francisco, CA, Raleigh, NC, or New York, NY. What this looks like day-to-day Enterprise positioning: Own and maintain clear, concise, and impactful solutions messaging for the Enterprise market. Translate Pendo's product capabilities into value-driven narratives that resonate with Enterprise buyers. Cross-functional partnership: Collaborate strategically with Product, PMM, Sales, and Marketing teams to package and position Pendo's offerings for Enterprise clients. Serve as a key conduit between Enterprise go-to-market teams and Product by bringing field feedback into product conversations. Flexible execution: Move fluidly across adjacent work as priorities shift, including solutions marketing, growth-hacker-style experiments, and demand-gen support. Adapt quickly rather than staying in a single fixed lane. AI-enabled GTM: Leverage AI tools and workflows, including building agents, to accelerate research, content creation, and go-to-market execution. Use AI as a practical multiplier for how you work and what you ship. Market research: Conduct in-depth research to define, understand, and articulate the distinct

The Team + The Role Pendo is rebuilding for the AI era, with new products, new buyers, and new ways to deliver value to customers. The Customer Growth and Lifecycle function sits at the center of that shift, helping turn customer engagement into a deliberate, repeatable, compounding growth motion. This team connects product usage, customer behavior, experimentation, and lifecycle programs to help customers get more value from Pendo. As Director, Customer Growth & Lifecycle, you will own the lifecycle motion from first login to fully embedded power user. You will design the experiments, programs, and data-driven interventions that make engagement intentional rather than accidental, using Pendo’s own platform and analytics to understand what moves adoption, retention, and expansion. You will also lead a team of approximately five Adoption Managers and Pendo’s Center of Excellence / Product Operations function. This is a role based in-office in Raleigh or New York, or Remote in the East Coast. What this looks like day-to-day Customer lifecycle ownership: Build, iterate, and optimize the full digital customer journey from onboarding through expansion. You will start with functional lifecycle infrastructure and make it more measurable, scalable, and compounding. Behavior-to-action strategy: Use Pendo’s own analytics to identify where users find value, where they drop off, and which interventions move the needle. You will scope and prove your own work rather than waiting on an analyst to define the opportunity. Scaled Pendo-on-Pendo execution: Act as one of Pendo’s most important internal practitioners of the product. Design and ship cross-channel experiments across in-app guides, email, NPS, segmentation, and other lifecycle channels that show customers what great product engagement looks like. Roadmap influence: Bring front-line visibility into customer behavior directly into product conversations. Your insights will help shape feature decisions and improve how Pend

Sendbird is building AI agents for customer experience. Our platform already powers billions of conversations every month across chat, voice, video, and messaging APIs. We are now using that foundation to build agents that understand customer context, reason over business data, and take reliable action in production. We are looking for a Machine Learning Engineer to research, build, and productionize new capabilities for those agents. This role sits at the intersection of agent product development, applied AI research, and production engineering. You will work on systems that enterprise customers depend on every day, not demos or isolated prototypes. About Sendbird and delight.ai Sendbird has spent more than a decade building communication infrastructure for in-app chat, voice, video, and messaging APIs. More than 4,000 brands use our platform, including DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our systems support more than 7 billion messages every month. In 2024, we made a strategic shift toward AI-first customer experience. In 2025, we launched our enterprise AI agent product, delight.ai. Delight.ai helps businesses deliver customer support and engagement that is faster, more contextual, and more personal. Unlike simple FAQ bots, our agents are built to remember customer context, use tools, retrieve relevant knowledge, connect across channels, and handle real customer workflows with accuracy and control. The Role As a Machine Learning Engineer, you will design, build, evaluate, and ship new capabilities for our AI agents. You will work across agent architecture, retrieval, memory, planning, tool use, workflow automation, voice, evaluation, data pipelines, model adaptation, inference, and production integration. This is a hands-on engineering role for someone who can turn AI research and product ideas into reliable customer-facing features. Some problems will require training, fine-tuning, or adapting models. Others will require better retrieval, bet

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. About the Role The AI Platform Engineering team is looking for a highly motivated and talented engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems. This full-time position reports to a Software Engineering Manager and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. What You'll Do Build the AI Platform Foundation : Lead the design and ownership of the core infrastructure that serves as the backbone for all Smartsheet AI experiences. Focus on building a robust, multi-tenant environment that reduces friction for internal teams, allowing them to deploy reliable and scalable AI features with ease. Standardize the AI Developer Path : Architect high-level abstractions and "Golden Path" APIs that democratize AI development across Smartsheet. By insulating product teams from infrastructure complexity, you will enable them to ship intelligent features with high velocity while guaranteeing safety and consistency at scale. Engineer AI Trust & Safety Systems : Establish the mission-critical monitoring and quality assurance layers that protect Smartsheet customers. By creating rigorous evaluation pipelines, you will ensure every AI-driven feature meets the high bar for safety, data privacy, a

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 looking for an experienced Senior Data Scientist II to build the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll work end-to-end framing problems, building models across the modern ML and deep learning toolkit, designing sub-agents that reason and act, and shipping all of it into production for millions of users. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are curious, technically rigorous, and can translate complex modeling and sub-agent behavior into clear recommendations for your partners. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position initially reports to the VP of Data Science located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models, retrieved context, and LLM reasoning to recommend or take action Build the predictive and prescriptive models that power those sub-agents churn risk, growth, adoption trajectories, account health scoring, and similar lifecycle problems Develop the data foundations and knowledge layer those sub-agents reason over, applying responsible aggregation and privacy-aware design Design the tools, retrieval, and grounding strategies each sub-agent uses; decide when a s

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. We are hiring a Software Engineer I to join our Engineering team. You will get your hands on full-stack services, dig into distributed systems problems, and work right at the intersection of traditional software engineering and AI-driven development. We are not just dabbling in AI here. We use it to write better code, catch bugs faster, and troubleshoot smarter, and we want engineers who want to get good at that too and help their teammates do the same. You will ship real features, sit in on architectural conversations that actually shape the product, and grow alongside a team that cares as much about doing good work as they do about doing meaningful work. You Will: Build scalable front-end and back-end services for the next generation of applications at Smartsheet (Kotlin, Java, Typescript, React) Solve challenging distributed systems problems and work with modern cloud infrastructure (AWS, Kubernetes) Take part in code reviews and architectural discussions as you work with other software engineers and product managers Forge a strong partnership with product management and other key areas of the business Enhance existing application code with new features and strike a balance when making technical decisions (build vs refactor vs simplify) Actively use AI tools to improve personal and team efficiency across coding, testing, design, and troubleshooting, exploring AI integration opportunities within team processes and features, and coaching others on effective AI use You Have: 1+ years software development experience build