Top Product Engineer Jobs

Lead engineering of an AI-driven analytics platform powering dashboards and agentic queries. Own full-stack delivery (React front end, Node.js/Python/Java services, APIs, data integrations), drive architecture and performance, implement configuration-driven dashboards, ensure quality and observability, and mentor engineers while partnering with product, design, and data teams to turn ambiguous problems into production systems.

Build and own core privacy-first telecommunications software: resilient, secure signaling, detection/prevention of malicious signaling, fake base-stations, SPAM/Smishing, and scalable APIs and infrastructure. Deliver high-performance, reliable systems with end-to-end privacy and security.

As a Product Software Engineer, you'll develop user-friendly web applications using modern frameworks, collaborating closely with teams to enhance drug discovery processes.

Design and build core product software (the editor) for professional programmers. Invent new interfaces and UX for AI-assisted code workflows, run experiments and A/B tests at scale, rapidly prototype new product verticals (e.g., AI bug detection), and ship high-quality features within a small, collaborative engineering team.

Lead the architecture of Loft's offering across ground, space, software, and hardware. Define capability allocation, interfaces, and requirements; shape ground tools and customer integration; coordinate cross-functional teams; produce CONOPS/ICDs and architecture notes; ensure scalable, reusable solutions and guide cross-cutting technical decisions.

Define and own integrated system design for the Hub across ground, space, software, and hardware. Translate concepts into technical specifications, manage requirements, ICDs, CONOPS, trade studies, and design reviews. Drive verification, validation, and modular integration; partner with hardware, software, and product teams to ensure clean interfaces and product-quality through development into operations.

Lead offering-level architecture across ground, space, software, and hardware. Define interfaces, requirements, capability allocation, CONOPS, and ICDs. Coordinate cross-functional teams, drive architecture decisions, and ensure scalable, reusable solutions and customer-facing ground tooling.

Define and own integrated system design for the Hub across ground, space, software, and hardware. Translate concepts into technical specifications, manage requirements/ICDs/CONOPS, lead trade studies and reviews, verify validation plans and tests, ensure modular interfaces and integration, and collaborate with product, hardware, software, and operations through development into production and operations.

Provide technical, post-sales support for Cartesia's AI platform: triage and resolve API/SDK/integration issues, reproduce bugs, write runbooks and guides, participate in incident response and on-call rotations, and collaborate with product and engineering to improve reliability and customer experience.

Provide product support for tactical datalinks (Link-16, MANET, TRAX), integrate hardware/software into military operations, support training/exercises and deployments, travel up to 50%, and participate in post-offer medical and security clearance requirements.

Lead technical support for prototype systems: troubleshoot, test, install, validate, and resolve complex RF and communications issues; collaborate with engineering, document findings, conduct training, and support deployments.

Provide expert technical support and troubleshooting for prototype products and systems. Lead installation, testing, validation, diagnose and resolve defects, develop corrective actions with engineers, produce technical documentation, assess customer needs, deliver demonstrations and training, mentor junior engineers, and drive process improvements.

As a Forward Deployed Software Engineer, you will solve technical challenges for large customers, develop integrations, and drive product engineering roadmaps at Ramp.

Design and scale manufacturing processes from prototype to high-volume production for EV, energy storage, and aerospace products. Lead first-article builds and validation, run experiments and root-cause analysis, qualify processes, collaborate cross-functionally, and transfer processes into sustained production while improving yield, throughput, and manufacturability.

Design and maintain the core AI infrastructure, lead product initiatives, and ensure high-quality code while mentoring a team of engineers.

Provide third-level hardware and software escalation and field support for semiconductor equipment, drive failure analysis and ECOs, support alpha/beta site installs and calibration, generate performance reports (MTBF/MTBI/Availability), create technical documentation and training, and ensure field implementation and customer communication.

The Senior Engineer II is responsible for product reliability, qualification tests, and root cause analysis for FPGA products, collaborating across teams to ensure quality and compliance throughout the product lifecycle.

Lead product strategy, requirements, and business planning for automotive wireless SoCs (BLE, UWB, etc.). Drive roadmaps, competitive analysis, standards engagement, cross-functional coordination, customer enablement, and product launches to support vehicle access and digital key applications.

Develop and validate test programs for wafer sort, unit class, burn-in and parametric testing. Define test plans, debug results, coordinate with design, yield, foundry, and test operations, and improve tester/tool performance.

Build and own customer-facing platform tooling across backend, web, and mobile for onboarding, compliance, and support. Ship end-to-end features, operate DevOps lifecycle, use AI-assisted/agentic development, mentor engineers, conduct code reviews, and drive ambiguous cross-team problems to resolution.

Lead ownership of Terraform-based Azure infrastructure for AI products, design scalable PaaS architectures, build observability and SLO-driven dashboards, enable developer self-service with CI/CD and templates, and coordinate cloud decisions with enterprise infrastructure and product teams.

Lead technical vision and architecture for Gemini's customer-facing platform. Drive cross-org, long-horizon initiatives (onboarding, KYC, support), set standards and patterns, mentor engineering leaders, and advance AI-assisted/agentic development and automation to improve scale, reliability, and product UX while delivering complex programs from ambiguity to production.

Lead cross-stack design and delivery of customer-facing tooling (onboarding, KYC, support) at scale. Set architecture and technical direction, own DevOps and operational lifecycle, leverage AI-assisted development, run multi-team projects, conduct code/design reviews, and mentor engineers to drive high-impact, product-focused outcomes.

As a Senior Software Engineer for AI products, you will own features across the stack, develop the AI SRE product, create integrations, and collaborate on user experience while ensuring technical quality.

Lead product lifecycle activities for optical critical-dimension metrology systems: define requirements, evaluate/select technology, validate/verify products, transfer to manufacturing, support customer ramp, diagnose and drive resolution of system issues, and coordinate cross-disciplinary teams (optics, electronics, mechanics, software, algorithms). Some travel (<25%).