Product Engineer 2 in Singapore

Engineer, HIG-HBM Product & System Engineering (Media Health Manufacturing) — Fab 10A, Singapore. Apply via Workday.

Engineer, Product Development Engineering Key Equipment Group (PDE KEG) — Fab 10A, Singapore. Apply via Workday.

Intern- PIE PI (Product Integration Engineering, Process Integration) — Fab 10N/X, Singapore. Apply via Workday.

Engineer, HIG-HBM Product System & Engineering (Media Health Manufacturing) — Fab 10A, Singapore. Apply via Workday.

Senior/Staff/Principal Engineer, HIG-HBM Product System & Engineering (Media Health Manufacturing) — Fab 10A, Singapore. Apply via Workday.

Senior/Staff/Principal Engineer, HIG-HBM Product System & Engineering (Media Health Reliability Coding) — Fab 10A, Singapore. Apply via Workday.

Senior/Staff/Principal Engineer, HIG-HBM Product System & Engineering (Media Health Reliability) — Fab 10A, Singapore. Apply via Workday.

Technician, Product Development Engineering — MSB, Singapore. Apply via Workday.

About the role As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. Craft compelling technical demonstrations that clearly communicate our product's value proposition. Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. Build self-service tools and documentation that empower customers to implement solutions independently. Identify opportunities to productise common integration patterns or features, and work with our product teams to make these real! Requirements We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: Are passionate about AI, technology and ElevenLabs products. Enjoy working directly with customers, iterating on solutions and providing tailored support Have a talent for identifying patterns that can be standardised and scaled. Have strong empathy for customers, sales and product teams. Have a strong technical background in order to help customers architect integration between our solutions and their existing solutions Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integr

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and de

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. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, incl

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. Overview Want to build products that sit at the heart of how money moves? We’re looking for a Senior Software Engineer to help build and scale the technology powering Breeze. This is a hands-on role with real ownership. You’ll tackle complex engineering challenges, ship products customers rely on every day, and help shape technical decisions as we scale. You’ll work across the stack, partner closely with Product and Design, and have plenty of white space to improve how we build. We’re looking for an engineer who combines strong technical judgment with a product mindset. Someone who moves fast, cares deeply about quality, and gets excited about turning complex payments problems into simple, reliable experiences. If you want to build, not just maintain, and have a meaningful impact on both our product and engineering culture, we’d love to meet you. What You’ll Do Build and scale the core payment systems that power Breeze, with a focus on reliability, security, and performance Ship high-quality customer experiences using React.js and modern serverless infrastructure Own meaningful featur

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. Overview We’re hiring a Staff Software Engineer to help build and scale the technology at the heart of Breeze’s payments platform. You’ll take on some of our most complex engineering challenges, building secure, reliable systems that move money while helping shape what we build and how we build it. You’ll work across the stack, own critical systems end to end, and partner closely with Product and Design to turn complex payments problems into simple, scalable solutions. This is a hands-on Staff role with real ownership and technical influence. You’ll help set architectural direction, raise the engineering bar, guide technical decisions across the team, and build the systems and foundations Breeze needs for its next stage of growth. If you’re a strong technical builder who wants to build, not just maintain, solve hard problems, and have a meaningful impact on both our product and engineering culture, we’d love to meet you. What You’ll Do: Build and scale the systems that power Breeze, with a focus on reliability, security, and performance across our payments platform Own critical system

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical bloc

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve