Product Engineer Jobs with Salary ≥ 200k

Summary: Candidates must have over 3 years of experience in a technical, customer-facing role focused on AI/ML or highly technical SaaS products, with proven hands-on experience deploying LLM solutions using modern agentic frameworks. Deep expertise in voice stacks, TTS integration, and solid software development skills in Python for production deployment are also required.

Skills: product engineer, agentic voice ai, llms, conversational voice, workflow design, prompt engineering, tts integration, python, javascript, full-stack development, a/b testing, performance monitoring, devops, customer facing, langchain, llamaindex

Summary: Candidates must possess a strong product engineering background with experience building complex, data-rich web applications using React, coupled with deep customer empathy. A desire to mentor engineers, shape engineering culture, and embrace AI in software development workflows within a fast-moving startup environment is essential.

Skills: react, typescript, aws, postgres, clickhouse, architecture documentation, mentoring, design systems, performance optimization, build tools, product engineering, web applications, customer empathy, ai-assisted engineering, end-to-end ownership

Summary: Candidates must have over 5 years of experience shipping production software, with deep expertise in Python or TypeScript and end-to-end system ownership. A strong background in modern AI/ML tooling, coupled with startup readiness, high autonomy, and strong product intuition, is essential.

Skills: python, typescript, llms, fine-tuning, rag, embeddings, distributed training, inference optimisation, product intuition, user-centric mindset, extreme ownership, rapid iteration, high autonomy

Summary: Candidates must have 5+ years of experience building and shipping production software, with deep expertise in Python or TypeScript and a track record of end-to-end system ownership. Required skills include hands-on experience with modern AI/ML tooling and a startup-ready mindset characterized by extreme ownership and high autonomy.

Skills: python, typescript, llms, fine-tuning, rag, embeddings, distributed training, inference optimisation, product intuition, user-centric mindset, extreme ownership, rapid iteration, high autonomy

Summary: Candidates must have 5-8+ years of experience in software engineering, dev relations, sales engineering, or partner engineering, with strong proficiency in Python and JavaScript. A successful candidate will be a strong engineer comfortable operating at the intersection of engineering and business, capable of turning ambiguous ideas into concrete technical plans.

Skills: python, javascript, technical strategy, integration architecting, system scoping, code review, feasibility evaluation, technical planning, api design, graphql, webhooks, oauth, saml, jwt, docker, kubernetes

Summary: Candidates must have 5+ years of professional software engineering experience, a strong track record leading complex projects, and experience building and operating scalable platform systems in production. A strong product judgment is required to balance UX, speed, correctness, and maintainability, alongside understanding the full agentic software development stack.

Skills: platform engineering, web engineering, distributed systems, typescript, react, node.js, postgres, agentic software development stack, meta programming, architecture reviews, mentorship, performance optimization, reliability engineering, observability, product sense, cross-functional leadership

Summary: Hybrid NY role empowering an AI product engineer to own scalable production AI systems across Hg Catalyst's portfolio; opportunity to act as a serial AI product entrepreneur with strong investor backing, 9-18 month sprints, and up to 100% cash bonus + carry; visa sponsorship available, no new H1Bs; fast-growing, high-performance culture.

Skills: react, typescript, python, fastapi, kubernetes, aws, gcp, machine-learning, genai

Summary: Candidates must possess a Bachelor's degree in mechanical engineering or a related field, coupled with over 10 years of mechanical engineering experience, including at least 5 years focused on data center design and operations. Essential expertise includes 10+ years with refrigeration and water-based heat rejection products for mission-critical applications, along with strong communication and stakeholder management abilities.

Skills: product vision, manufacturing oversight, supplier management, project management, collaboration, code compliance, supply chain alternatives, quality testing, root cause analysis, risk mitigation, technical communication, stakeholder management, data analysis, strategic thinking, adaptability, leadership

Summary: Candidates must be highly accountable, curious, collaborative, comfortable with ambiguity, and value-driven, demonstrating an owner's mindset in shipping quality products quickly. Experience is required in building complex web applications with robust CI/CD and cloud monitoring, leading projects across frontend, backend, and infrastructure, and upholding engineering best practices.

Skills: full-stack solutions, python, react, aws, ci/cd pipelines, cloud monitoring, ehr integration, hipaa compliance, technical communication, architectural patterns, ownership, collaboration, ambiguity navigation, value-driven, technical excellence, product design

Summary: Candidates must have over 7 years of software engineering experience, proficiency in writing asynchronous Rust code for network services, and a strong security-first mindset during system design. A solid understanding of distributed systems technologies like Kafka and RPC protocols is also required, along with the ability to take end-to-end ownership.

Skills: rust, software engineering, network services, asynchronous code, security-first mindset, distributed systems, rpc protocols, kafka, event-driven systems, system design, debugging, mentorship, product intuition, low-latency solutions, testable code, ownership

Summary: Candidates must have at least one year of software engineering experience with strong full-stack skills across TypeScript/React, Python, and data layers, capable of moving quickly from prototype to production. A key requirement is experience building user-facing products integrating with AI services like LLMs, demonstrating an understanding of how interface design influences AI behavior and evaluation quality.

Skills: full-stack engineering, front end, typescript, react, back end, python, data layers, api design, data modeling, ai systems integration, llms, workflow design, product experience, system evaluation, human-ai interaction

Summary: Candidates must possess deep technical expertise combined with strategic vision, mastering modern software engineering principles like microservices, API development, and scalable system design across web and mobile ecosystems. Essential requirements include hands-on cloud proficiency (AWS, Azure, or GCP), strong DevOps/CI/CD practices, secure coding knowledge, and proven leadership in scaling distributed engineering teams.

Skills: product engineering, application engineering, software development, scalability, security, technical roadmaps, agility, mentorship, resource planning, budget management, web engineering, mobile engineering, react, angular, vue, cloud proficiency

Summary: Candidates must possess a minimum of 10 years of related experience, including executive-level management of technology teams, and a Bachelor's degree in a relevant field, with a Master's preferred. Mastery of modern software engineering principles, cloud proficiency (AWS, Azure, or GCP), and strong DevOps/CI/CD practices are essential for leading web and mobile product engineering.

Skills: product engineering, application engineering, software development, microservices architecture, scalable system design, api development, web engineering, mobile engineering, react, angular, vue, swift, kotlin, flutter, react native, cloud proficiency

Summary: Candidates must possess a minimum of 10 years of related experience, including executive-level management of technology teams, and deep technical expertise in modern software engineering principles like microservices and scalable system design. Mastery in Web and Mobile Engineering, cloud proficiency (AWS, Azure, or GCP), and strong DevOps/CI/CD practices are non-negotiable requirements.

Skills: product engineering, application engineering, software development, scalability, security, technical roadmaps, mentorship, resource planning, budget management, stakeholder engagement, microservices architecture, api development, web engineering, mobile engineering, react, cloud proficiency

Summary: Candidates must possess a minimum of 10 years of related experience, including executive-level management of technology teams, and deep technical expertise in modern software engineering principles like microservices and scalable system design. Mastery of web/mobile engineering using frameworks like React/Angular/Swift/Kotlin, coupled with non-negotiable cloud proficiency (AWS/Azure/GCP) and strong DevOps/CI/CD practices, is required.

Skills: product engineering, application engineering, software development, scalability, security, technical roadmaps, mentorship, resource planning, budget management, stakeholder engagement, microservices architecture, api development, web engineering, mobile engineering, react, cloud proficiency

Summary: Candidates must have at least 5 years of relevant software engineering experience, including a minimum of 2 years in direct MLOps, with a background in operating large-scale ML systems. Required technical expertise includes strong proficiency with Docker/Kubernetes, Infrastructure as Code like Terraform, and implementing robust CI/CD practices for reproducible ML releases.

Skills: mlops, kubernetes, terraform, ci/cd, docker, iac, observability, metrics, logs, traces, model registry, rbac, gpu, inference endpoints, progressive delivery, incident response

Summary: Candidates must have 7+ years of professional software engineering experience with a strong track record in leading complex, cross-functional projects involving platform systems at scale. A strong product judgment is required to balance UX, speed, correctness, and maintainability, alongside experience with modern web stacks like TypeScript, React, and Node.js.

Skills: platform engineering, distributed systems, product sense, scaling systems, web engineering, typescript, react, node.js, postgres, agentic software development, architecture reviews, mentorship, observability, performance optimization, reliability standards, meta programming

Summary: The ideal candidate must be an exceptional technical leader and architect capable of managing a complex international product, possessing a player/coach mindset ready to engage directly with code when necessary. This role requires setting structure, driving quality standards, and fostering strong cross-functional partnerships across Product, Design, AI, and Legal teams.

Skills: technical strategy, architecture, team leadership, mentoring, high-performance culture, technical leadership, hiring, delivery management, cross-functional partnership, business strategy, player/coach mindset, coding, performance development, innovation, security practices, testing practices

Summary: Candidates should have over 10 years of software engineering experience and at least 4 years of experience leading managers or multiple teams. A strong track record of delivering complex systems and excellent cross-functional communication skills are essential.

Skills: software engineering, team leadership, technical strategy, cross-functional communication, operational excellence, scalability, kotlin, golang, rust, aws, kubernetes, github, ci/cd, api documentation, datadog

Summary: Candidates should have deep architectural experience in large-scale distributed systems and be comfortable with scaling backend infrastructure. Experience in building production services in Python and a strong product mindset are also essential.

Skills: software architecture, engineering, cloud-native architecture, infrastructure as code, ci/cd pipelines, security best practices, observability, ai platform engineering, python, fastapi, go, react, next.js, kubernetes, gcp, azure

Summary: Candidates should have deep architectural experience in large-scale distributed systems and a strong product mindset. Experience in scaling backend infrastructure and building production services in Python is essential.

Skills: software architecture, engineering, cloud-native architecture, ai platform engineering, technical leadership, python, go, react, next.js, database management, gcp, azure, kubernetes, ci/cd, compliance, financial crime