Principal Product Designer Jobs

Principal Engineer, R&D — 2 Locations. Apply via Workday.

Principal Program Manager, Design Operations — 5 Locations. Apply via Workday.

Principal AI Software Developer — 3 Locations. Apply via Workday.

Principal Software Developer - Databases — 12 Locations. Apply via Workday.

Principal AI GTM Programs & Transformation — 2 Locations. Apply via Workday.

Principal Machine Learning Engineer — 3 Locations. Apply via Workday.

Principal, Strategy and Operations — 2 Locations. Apply via Workday.

Principal Machine Learning Engineer, Agent Harness - Meta Factory — San Jose. Apply via Workday.

Principal Creative Higher Education Engagement Manager (UK) — London. Apply via Workday.

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

What you’ll do Act as the in-house electrical lead for Midjourney Medical: own the electrical architecture of the scanner and the technical direction for all board-level design. Own complex board design end-to-end: architecture, schematic capture, layout (high-speed digital, analog/mixed-signal, power), DFM/DFT, fabrication and assembly vendor management, bring-up, and revision control. Write firmware for embedded targets (MCU/SoC): drivers, real-time control loops, safety-relevant logic, bootloaders, and field update paths. Audit and update HDL (FPGA) code for high-throughput data acquisition, timing/synchronization, triggering, and pre-processing of ultrasound and sensor data streams. Define electrical interfaces and data contracts with software, recon/ML and mechanical teams: timing budgets, clocking/sync, signal integrity, connectors/harnessing, and failure modes. Establish electrical engineering rigor: design reviews, schematic/layout review checklists, bring-up procedures, test fixtures, and documentation suitable for a regulated medical device program (DHF, traceability, change control). Mentor and grow the electrical function; select and manage external design partners where leverage is high. What we’re looking for Deep experience designing complex boards from blank page to stable revision, including high-speed digital and analog/mixed-signal domains. Strong schematic and layout skills (Altium/KiCad or equivalent) with real signal integrity, power integrity, grounding, and EMI/EMC instincts. Solid embedded firmware background in C/C++ (and Python for tooling): peripherals, DMA, interrupts, real-time constraints, and debugging on hardware. Practical HDL experience (VHDL/Verilog/SystemVerilog) for data acquisition, timing, and streaming interfaces. Track record of owning bring-up and debug on real hardware: scopes, logic analyzers, and disciplined root-cause analysis. Technical leadership: clear trade-offs, strong written documentation, and the ability to set

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know the team The Developer Platform team at Auth0 (an Okta company) owns the platform that developers build identity on. Increasingly they build alongside AI agents, and that raises the bar on everything underneath: interfaces have to hold up whether a person or an agent is calling them, and the systems behind them have to stay reliable and coherent as usage grows. We move fast, we own problems end to end, and we care deeply about the platform we put in front of the developers and agents who depend on it. The opportunity We're hiring a Principal Engineer (P5) to serve as the technical leader and compass for the Developer Platform team. You'll work across the breadth of the platform, tackling the highly complex, vaguely specified problems that span it and turning them into clear technical direction the team can execute against, without day-to-day oversight. Above all, you'll own how the platform is architected to scale: the distributed systems behind it, the reliability and consistency guarantees developers depend on, and the coherence that keeps it easy to build on as usage grows. You'll champion the team's technical execution, raise the engineering bar, mentor the people around you, and partner with tech leads across teams to keep the wider platform aligned. You'll have real influence over how our platform holds up in a world where developers and agents are both first-class consumers. What you'll be doing Own the platform architecture: Set the tech

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. Data Engineering - Applied Field Engineer- CA- Menlo Park- Remote Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking a Data Engineering Specialist to join our Applied Field Engineering team who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with tec

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 As a Principal Software Engineer, you will help define and build the high-performance, highly reliable foundation of the Nuro Driver. This role spans Device Platform, Performance, and Onboard Systems, requiring deep technical leadership across sensor and compute integration, onboard runtime systems, distributed execution, and autonomy software performance. You will architect hardware-agnostic device interfaces, inter-device communication pipelines, runtime APIs, and onboard software platforms that enable Nuro’s autonomy stack to run safely and efficiently across current and future vehicle platforms. You will also lead system-wide performance and reliability efforts, including latency reduction, resource efficiency, observability, automated validation, and tooling for debugging complex onboard systems. This is a highly cross-functional and high-impact role. You will partner with autonomy, hardware, safety, validation, opera

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 seeking a Principal Customer Success Manager who will focus on building high-value, strategic relationships with large, global customers. The role requires extensive experience in SaaS Customer Success, strong business acumen and exceptional communication skills. The Principal Customer Success Manager is expected to provide thought leadership and mentorship, as well as lead and/or contribute to special programs and projects (minimum of 10% per working week). For the right candidate, this is a career-defining opportunity to join the market leader in Collaborative Work Management (CWM) and help influence the future of Customer Success as a vocation. This role reports to a Sr. Manager of Sr. Customer Success and has flexibility to work remotely from the West Coast. You Will: Manage a diverse book of business at scale, with a focus and engagement, enablement and adoption. Understand your customer’s business model, go to market strategy and organizational structure. Create and execute internal territory engagement plans and/or external joint customer enablement plans that focus on tailored, customer-specific strategy, proactive risk mitigation, value realization and expansion. Use data to gain insights, provide guidance, increase customer adoption and identify opportunities for expansion. Lead or influence renewals, partnering with internal teams to form a cohesive approach to mitigate churn and support expansion. Positively impact revenue via early risk identification and mitigation strategies