Mountain View Product Management & Development Job Listings

Workable

Product Manager

About DataVisor DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide a significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! As a leader in the Fraud and AML risk decisioning space, DataVisor is pioneering innovative solutions to enable FI’s to fight fraud and financial crime. We are looking for a Product Manager with strong technical chops, design sensibilities and/or data integration experience to help guide the next chapter of growth for the DataVisor platform and solutions. This is an excellent career opportunity for an early career Product Manager. You will get to collaborate closely with highly experienced product leaders to hone your craft. In this role you will get to define, design and guide integrations with third-party systems including data providers, transaction processing systems and banking core systems. You will also design features and strategies for out-of-the-box solutions. Responsibilities Partner closely with other Product Mangers, engineering, delivery, marketing, GTM and support teams. Work on the onboarding workflow and user experience with third-party integrations and out-of-the-box solutions. You will lead cross-team efforts to deliver top notch technical and functional artifacts like product documentation, training materials and best practices guides. Engage with third-party providers, evaluate their offerings and conduct research and user studies to build and own a product roadmap. You will explore new ideas and push the boundaries of what is possible to drive monetization opportunities across different market segments. Take a hands-on approach to ensure product development stays on track, removing obstacles and addressing issues as they arise. Requirements DataVisor values diverse experiences from different industries, and we encourage everyone who meets the required qualifications to apply. If you're early in your career or if you haven’t followed a traditional path into Product Management, don't let that stop you from considering DataVisor. We are always looking for people who will bring something new to the table! Product Management Experience: 3+ years of product management and/or experience managing complex technical products preferably in developing data platforms, platform software or development tools. Fraud/AML or Banking Core Integration Experience: Experience in fraud/AML, with a deep understanding of industry landscapes and key providers is highly valued. 2+ years of experience in integration with banking cores. ETL, Data Pipelines or related Technical Integration Experience: Experience in building or integration ETL and/or data pipelines. Any experience in data checking, SQL, database operations, SFTP, real-time REST API’s is also valuable.. Agile Methodologies: Familiarity with agile software development frameworks (e.g., Scrum) and real-world experience in fast-paced environments. Machine Learning & Big Data Knowledge is a Plus: Practical experience with machine learning, big data, cloud services, and SaaS-based systems. Startup Mindset: Comfortable thriving in a dynamic, fast-paced startup setting. Bachelor degree: Computer Science or related area. Benefits Stock option, bonus, health benefit, 401K

Mountain View, CA, USA

Negotiable Salary

Backend Engineer, Generative AI Services63846024044547121

Workable

Backend Engineer, Generative AI Services

OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable and high-performance RESTful APIs that serve as the backbone for our generative AI-powered Android applications. You will work primarily with platforms like Google Cloud or Azure to bring advanced AI capabilities directly to our users' mobile phones. This is a unique opportunity to build mission-critical services that will define how users interact with AI in a mobile platform, from concept to deployment. Requirements Core Development & Infrastructure Design, develop, and maintain scalable RESTful APIs in Python to power generative AI features Integrate backend services provided by the platform such as GCP Vertex AI or developed internally Performance & Systems Optimize API performance and scalability for global Android users Contribute to architectural design of distributed systems (availability, fault tolerance) Collaboration & Operations Work closely with Android and ML teams on API contracts and model integration Implement monitoring, logging, and security best practices for production systems Quality & Innovation Ensure code quality through testing (unit, integration, E2E) and documentation Stay updated on generative AI and cloud technology trends Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 3+ years of professional backend software development experience, with a focus on building and deploying RESTful APIs. Proficiency in Python and one of the associated web frameworks (e.g., Flask, Django). Demonstrable experience with at least one major cloud platform (AWS, Azure, or GCP) Experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., Firestore, MongoDB). Solid understanding of microservices architecture, asynchronous processing, and event-driven systems. Experience with version control systems, particularly Git. Strong problem-solving skills, with the ability to debug complex systems and diagnose issues across the stack. Preferred Qualifications: Master's degree in Computer Science, AI, or a related field. Direct hands-on experience integrating with Google Cloud Platform's Vertex AI APIs (e.g., PaLM, Gemini, Imagen, Codey, etc.) Experience with containerization technologies (Docker) and orchestration (Kubernetes, Cloud Run, GKE). Familiarity with CI/CD pipelines and DevOps practices. Understanding of fundamental machine learning and deep learning concepts, especially in the context of generative AI. Experience or strong interest in building APIs specifically for mobile applications (Android/iOS). Knowledge of data streaming technologies (e.g., Kafka, GCP Pub/Sub). Experience with caching technologies (e.g., Redis, Memcached). The ability to collaborate effectively with cross-functional teams. Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Palo Alto, CA, USA

$100,000-200,000/year

Backend Engineer- Wearable Product63845342423297122

Workable

Backend Engineer- Wearable Product

OPPO US Research Center is seeking an experienced and highly motivated Backend Engineer to join our wearable product development team. In this role, you will be responsible for building and maintaining high-performance backend systems that power our next-generation smart devices. You’ll collaborate with cross-functional teams to ensure scalable and reliable infrastructure that supports business innovation and global product deployment. Job Responsibilities: Lead the development and maintenance of core backend functions for wearable products, continuously driving business evolution. Support new product setup and operations-related backend development. Handle technical operations and troubleshooting for local business systems. Requirements 3+ years of backend development experience, with strong skills in designing and building high-concurrency distributed systems. Solid computer science fundamentals; proficient in Java, and familiar with JVM internals, multithreading, networking, design patterns, data structures, and algorithms. Hands-on experience with mainstream open-source frameworks such as Spring, Spring Boot, Spring Cloud, Dubbo, MyBatis, etc. Familiar with key distributed system components like caching, messaging (MQ), Zookeeper, configuration management, task scheduling, and APM; in-depth source code understanding of at least one major open-source framework. Strong proficiency in MySQL with experience in writing high-performance SQL and database tuning; familiarity with NoSQL databases like Redis or MongoDB is a plus; experience with distributed databases is preferred. Experience with system architecture for large-scale traffic and high availability: load balancing, clustering, disaster recovery, high availability, horizontal scaling, and multi-data center deployment. Familiar with microservices architecture; experience with container technologies (e.g., Docker, Kubernetes) is a plus; knowledge of service mesh (e.g., Istio) is a plus. Passion for technology, attention to detail, and a strong sense of ownership; excellent communication skills and collaboration spirit. Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Palo Alto, CA, USA

$100,000-200,000/year

Workable

Test Engineer-AI/LLM

OPPO US Research Center is seeking a full-time meticulous and innovative AI/LLM Test Engineer to join our cutting-edge AI team. In this critical role, you will evaluate the performance, reliability, and safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end generative AI solutions. Your work will directly shape how users experience AI-powered features by ensuring robustness, accuracy, and alignment with product goals. This is a unique opportunity to pioneer testing methodologies for next-generation AI systems at the forefront of technology. We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and validation of large language model (LLM)-powered applications. You will help implement test strategies, execute evaluation workflows, and assist in model performance validation across diverse generative AI use cases. This contract role is ideal for someone with hands-on experience in AI/ML evaluation, QA engineering, or data analysis who wants to deepen their exposure to generative AI systems. Requirements Full-time position requirement: Core Testing & Evaluation Design and execute performance tests for LLMs across diverse product use cases (e.g., chatbots, content generation etc.). Develop automated test frameworks to evaluate LLM outputs for accuracy, bias, safety, and coherence. Conduct end-to-end testing of integrated generative AI solutions, including APIs, data pipelines, and user interfaces. Optimization & Validation Collaborate with ML engineers to validate fine-tuned models and optimize prompts for target scenarios. Analyze model failures, edge cases, and adversarial inputs to identify risks and improvement areas. Benchmark LLM performance against industry standards and product-specific KPIs. Collaboration & Quality Assurance Partner with product, engineering, and research teams to define test requirements and acceptance criteria. Document defects, performance metrics, and test results to drive data-driven improvements. Advocate for AI ethics and safety through rigorous testing of fairness, bias mitigation, and content moderation. Innovation & Tooling Build scalable tools for synthetic test data generation, prompt variation testing, and automated evaluation workflows. Stay current with advancements in generative AI testing, including red-teaming techniques and evaluation frameworks (e.g., HELM, Dynabench). Propose novel testing strategies for emerging challenges (e.g., hallucinations, context drift). Basic Qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience. 1+ years of experience in software testing, data science, or ML validation, with exposure to AI/ML systems. Proficiency in Python and testing frameworks (e.g., PyTest, Selenium). Hands-on experience evaluating LLMs in production environments (e.g., GPT, Claude, Llama, Gemini). Strong analytical skills for dissecting model behavior, statistical performance, and failure modes. Familiarity with cloud platforms (GCP, Azure, or AWS) and MLOps tooling (e.g., MLflow, Weights & Biases). Experience with version control (Git) and agile development methodologies. Preferred Qualifications: Master’s degree in AI, Machine Learning, or a related field. Expertise in prompt engineering, LLM fine-tuning (e.g., LoRA, RLHF), or optimization techniques. Experience with automated evaluation tools (e.g., LangChain, TruLens) or LLM-specific test suites. Knowledge of data pipelines, SQL/NoSQL databases, and API testing (e.g., Postman). Background in statistics, quantitative analysis, or data visualization for test insights. Contributions to AI safety/ethics initiatives or open-source LLM evaluation projects. Experience testing mobile-integrated AI solutions (Android/iOS). Contractor position requirements: Testing & Evaluation Support: Execute pre-defined performance tests for LLMs across various tasks (e.g., summarization, Q&A, chatbot flows). Run scripted evaluations to assess outputs for factuality, coherence, and safety. Perform manual and automated test execution on APIs and LLM-integrated user interfaces. Prompt & model validation: Assist ML engineers in evaluating prompt variations and prompt-tuning outcomes. Log and analyze failure cases, anomalies, and edge cases based on provided guidelines. Collabration & Documentation Work with QA leads, product managers, and ML engineers to understand test goals and criteria. Report defects, compile evaluation summaries, and maintain testing logs. Tooling & Antomation: Use existing internal tools or frameworks to automate test runs and result collection. Contribute to prompt generation, input templating, or result tagging processes. Basic Qualifications: Bachelor's degree or equivalent work experience in a technical field (e.g., Computer Science, Engineering, Data Science). 6+ months experience in software QA, data labeling, LLM evaluation, or ML testing projects. Basic Python proficiency, especially for data processing and automation tasks. Familiarity with LLMs (e.g., GPT, Claude, Gemini) and prompt-based outputs. Comfortable working with tools like Jupyter, Postman, or testing dashboards. Detail-oriented with good documentation habits. Contractor Details: Duration: Long term Rate: Commensurate with experience Conversion Opportunity: High-performing contractors may be considered for full-time roles Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Palo Alto, CA, USA

$100,000-200,000/year

Site Reliability Engineer (SRE)63499922328065124

Workable

Site Reliability Engineer (SRE)

OPPO US Research Center is seeking a skilled and proactive Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for ensuring the stability, scalability, and performance of our application systems. The ideal candidate is passionate about cloud infrastructure, automation, and building reliable, production-grade environments. Requirements Key Responsibilities Operate and maintain Linux-based systems, ensuring high availability and performance through monitoring, maintenance, and troubleshooting. Manage and support public cloud platforms such as AWS, Azure, and Google Cloud, including services like databases, middleware, message queues, and load balancers. Implement and manage CI/CD pipelines to streamline deployments and improve delivery speed. Deploy and maintain containerized applications using Kubernetes (K8s) to ensure service reliability and scalability. Plan, configure, monitor, and optimize cloud resources to reduce operational costs and maximize resource efficiency. Participate in on-call rotations, quickly respond to alerts, and resolve production incidents to minimize downtime. Qualifications 3+ years of experience in system operations, DevOps, or SRE roles with strong Linux system administration skills. Hands-on experience with one or more major cloud platforms (AWS, Azure, or Google Cloud). Familiar with infrastructure-as-code and scripting; proficiency in Go, Python, or Shell scripting. Solid understanding of cloud-native architectures, system reliability, and operational best practices. Strong documentation skills, a high level of ownership, and the ability to collaborate across cross-functional teams. Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Palo Alto, CA, USA

$100,000-200,000/year

Product Manager (Semiconductor)63393477367681125

Workable

Product Manager (Semiconductor)

Position Overview As the Product Manager, you will own the product lifecycle from market analysis and business case development to launch and sustainment. You’ll work cross-functionally with engineering, sales, operations, and customers to ensure product success in a highly competitive and rapidly evolving market. Key Responsibilities Define and execute product strategy, roadmap, and go-to-market plans for assigned semiconductor product lines Conduct market research, competitive analysis, and customer needs assessments to identify growth opportunities Lead business case development for new product initiatives, including pricing, forecasting, and ROI analysis Collaborate closely with R&D, engineering, and operations to drive product development milestones Manage product lifecycle from concept to end-of-life, ensuring alignment with market trends and company goals Partner with sales and marketing teams to develop product positioning, messaging, and sales enablement tools Engage with key customers and industry partners to gather feedback, identify needs, and strengthen relationships Monitor market performance, analyze product KPIs, and implement continuous improvement strategies Qualifications Bachelor’s degree in Electrical Engineering, Computer Engineering, or related technical field (Master’s preferred) experience within the semiconductor or electronics hardware industry Strong understanding of semiconductor technologies, market dynamics, and product lifecycle management Proven experience working with cross-functional technical and commercial teams Excellent analytical, organizational, and communication skills Ability to translate complex technical concepts into clear business strategies Experience with customer engagement, business case development, and product launches Compensation & Benefits Base salary: $175,000 – $250,000 (commensurate with experience) Annual performance-based bonus Comprehensive health, dental, and vision insurance 401(k) with company match Paid time off and holidays Hybrid and remote flexibility available How to Apply Qualified candidates are invited to apply with a resume and brief cover letter outlining their relevant experience. Job Type: Full-time Pay: $175,000.00 - $250,000.00 per year Benefits: 401(k) Dental insurance Health insurance Life insurance Compensation Package: Bonus opportunities Performance bonus Yearly pay Schedule: 8 hour shift Day shift Ability to Relocate: San Jose, CA 95138: Relocate with an employer provided relocation package (Preferred) Work Location: In person Requirements Bachelor’s degree in Electrical Engineering, Computer Engineering, or related technical field (Master’s preferred) experience within the semiconductor or electronics hardware industry Strong understanding of semiconductor technologies, market dynamics, and product lifecycle management Proven experience working with cross-functional technical and commercial teams Excellent analytical, organizational, and communication skills Ability to translate complex technical concepts into clear business strategies Experience with customer engagement, business case development, and product launches

San Jose, CA, USA

$175,000-250,000