Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
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Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

Job Description:

We are seeking an experienced leader to drive Supplier / Manufacturing Quality Engineering to anchor our global supplier quality efforts across both Astera Lab’s semiconductor and board-level products. In this role, candidates will drive leading supplier quality across key manufacturing partners including IC fabs, OSAT’s, and PCB/PCBA vendors. A strong foundation in supplier quality engineering, uniquely paired with experience in advanced data analytics (including AI and machine learning) for predictive quality, risk assessments, and product quality analytics will be highly valuable to this role.

Responsibilities:

Supplier Quality Management

· Nurture winning partnerships across all our strategic manufacturing suppliers: semiconductor wafer fabs, advanced packaging & test (OSAT), boards & assemblies (PCB / PCBA / SMT), substrates / interposers, probe cards, and passive components.

· Develop robust supplier selection and onboarding processes in collaboration with Design, Procurement, Business & Engineering Operations teams.

· Define, build, and manage the systems to collect the data (KPI’s) needed to track supplier performance and drive continuous improvement.

· Audit to assess the effectiveness of supplier process controls, manufacturing capabilities, and overall quality management system.

· Coach suppliers by sharing your deep manufacturing experience and knowledge.

· International travel as needed, potentially on short notice. There is no minimum amount but prepare to accommodate up to 20%.

Advanced Data Analytics & AI/ML

· Create data collection methods to enable product and supplier advanced data analytics needed for monolithic, chiplet, and board products. Data sources will include manufacturing inline controls, production test (including data collection from advanced embedded agents), and failure analysis activities.

· Leverage data into quality models & methods to predict product quality issues and supply chain risks.

· Integrate AI/ML tools into quality systems and dashboards (e.g., outlier screening, automated defect detection, trend analysis, real-time alerts).

· Experience with AI/ML tools is a plus but not required; ability to work with technical partners on model development is key.

Cross-functional Collaboration

· Interface with R&D, NPI, product engineering, ops and other engineering teams to provide supplier input into product design and DFX.

· Support early supplier involvement and ensure quality requirements needed for manufacturability & testability are achieved, and learnings are propagated appropriately to other products in production & development.

· Represent supplier quality as needed in line failure reviews, excursion management, material reviews (MRB), and CAPA processes.

· Partner with engineering and manufacturing teams to conduct quarterly engineering reviews, evaluate supplier changes (PCN), and assess supplier risks.

· With engineering engagement, lead quality audits, and corrective action activities using tools such as 8D, 5-why, and FMEA.

Education & Experience

· Bachelor’s or Master’s degree in Engineering or equivalent experience.

· 8+ years of career progression in supplier quality engineering in the semiconductor and/or board-level electronics industry.

· 3+ years direct experience working embedded within a high-volume advanced manufacturing operation in an engineering role.

· Experience with supplier development in Asia with global manufacturing supply chains.

· Six Sigma or ASQ certification a plus

Technical Skills

· Strong knowledge of IC fabrication, packaging (including chiplet), board assembly (SMT), and test processes.

· Familiarity with reliability qualification methodologies in the application of IPC, Telcordia, JEDEC requirements.

· Proficiency with quality engineering tools (FMEA, APQP, PPAP, SPC, OE, etc.).

· Experience using analytics tools (e.g., JMP, SQL, Excel) to support quality insights. Exposure to AI/ML frameworks is a plus, but not required.

· Fluent in English and Mandarin

Team Overview:

Impinj’s Product Test Engineering team is looking for experienced Hardware Test Engineer to apply their expertise in test methodology and hardware to build and sustain production ATE (Automated Testing Equipment) solutions that drive characterization, qualification, and high-volume production of next-generation End-point ICs.

What you will do:

• Design, develop, and implement test programs to characterize and validate semiconductor wafers and devices across ATE platforms, adapting code as needed and performing root cause analysis throughout design and production phases.
• Own and monitor production test systems in Asia, managing scheduling and allocation to ensure optimal throughput, yield, and operational performance.
• Ensure smooth NPI (New Product Introduction) to high-volume production transitions for test equipment and programs, maintaining test readiness across all phases.
• Implement test plans, specifications, and procedures in accordance with testing and quality assurance requirements, including defining coverage for new chip features.
• Collaborate with test, product, and design engineering teams to develop and execute test plans, procedures, and programs across development, NPI, and production.
• Lead hands-on installation, troubleshooting, and verification of instrumentation, ATE systems, and equipment controls to ensure functionality and readiness.
• Support procurement, installation, and calibration of test equipment and instrumentation required for production and characterization testing.
• Manage wafer disposition, nonconformance (NCMR) processes, and Engineering Process Change Notices (EPCNs) for test system updates across Asia operations.
• Maintain strong operational relationships with subcontractors and cross-functional teams to sustain production test readiness and resolve test-related issues.
• Analyze test data and report results to the Quality & PTE Asia team, driving continuous improvement initiatives.

What you will bring:

• Bachelor’s degree in electrical engineering or related field
• 5+ years of ATE test engineering experience
• Direct experience with wafer‑ or die‑level ATE testing, including NI Semiconductor Test System (STS) and Accretech probers, is preferred
• Experience with 200mm, and 300mm prober operation, as well as package part handling.
• RF test experience with understanding of key RF measurements (Linearity, NSD, EVM, etc.).
• Strong experience debugging and improving ATE hardware and software systems.
• Product engineering experience, with familiarity in ATE coverage, margin, and binning.
• Experience identifying ATE hardware-related issues.
• Strong data analysis skills with experience applying statistical process control methods.
• Experience with NI LabVIEW and NI TestStand.
• Experience with statistical process control methodologies and software.
• Excellent command in English with the ability to effectively collaborate across global teams. 

Compensation & Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role.

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

ABOUT THE ROLE

We are seeking a detail-focused engineer to take the lead in ensuring technical documentation is clear, consistent, and accurate. This includes both creating and managing engineering documents. This role collaborates closely with the Mechanical Engineering, Industrial Design, Program Management and Quality Engineering teams to ensure appropriate product definition and design controls through 2D drawings and 3D CAD support for all phases of the product development lifecycle. 

YOUR DAILY IMPACT AT PELOTON

• Create technical 2D product drawings for all components and assemblies

• Provide CAD support to the Industrial Design and Mechanical Engineering teams 

• Establish best practices for 3D and 2D CAD creation

• Create and manage Bills of Material (BOMs) in Windchill PLM

• Work with Hardware Engineering team to define engineering tolerances on drawings

• Coordinate cross departmental drawing and process reviews

• Review engineering drawings to ensure documentation consistency

• Stay current with the latest SolidWorks features and updates

• Support Solidworks deployment throughout company, including installation, upgrades

• Interface with Windchill PLM team to ensure seamless integration with Solidworks

YOU BRING TO PELOTON

• 4+ years mechanical design experience and/or 6+ years of drafting experience

• BS in Mechanical Engineering, or equivalent

• Strong experience with consumer product design

• Proficiency in 3D modeling software (Solidworks preferred)

• Detailed-focused in drafting and reviewing drawings

• Knowledge of product life cycle management

• Spoken and written English

• Knowledge of ASME Y14.5 or ISO 8015, 1101 and 2768 drawing standards

• Proficiency in reading and applying GD&T

BONUS

• Experience with Windchill as a PLM system

• Advanced 3D surfacing skills

• Experience working with contract manufacturers

#LI-SD1
#LI-Onsite

ABOUT THE ROLE

Peloton Electrical Engineers are responsible for the architecture, design, and testing of hardware systems for Peloton products. This early-career position requires working collaboratively with engineers and engineering managers to support product improvement and development initiatives across the entire product lifecycle, from new product introduction through sustaining engineering.

As the team is highly dynamic with an exciting product roadmap, you will play a key role in ensuring electrical design robustness, manufacturability, time to market, and cost goals are all met. You will work multi-functional with many teams including Program Management, Product Management, Operations, Quality, Mechanical Engineering, Firmware Engineering, and Industrial Design.

YOUR DAILY IMPACT AT PELOTON

• Under the supervision of senior engineers and project leaders, develop and support product subsystems, adhering to department and company standards and processes

• Observe and execute on engineering requirements rigorously

• Write and execute clear test plans at the design and production phases

• Troubleshoot and solve performance problems during development and in production

• Efficiently write and archive test reports

• Clearly document and communicate your work to senior engineers and technical leads

• Use data to drive engineering decision making

• Create and manage engineering changes for updates and improvements to existing products

• Collaborate with adjacent development teams to ensure design success, including compliance, firmware, and mechanical

• Work with drafting team to ensure appropriate product definition and design controls

• Communicate with outside vendors and partners effectively

• Travel throughout Asia and to/from the USA is expected to be 10%-15%
  
  

YOU BRING TO PELOTON

• Bachelor’s degree in Electrical, Electronics, or Systems Engineering (Master’s degree preferred)

• Previous internship or similar work experience as an engineer in a design/development environment

• Experience with test and measurement tools, including oscilloscopes, power supplies, spectrum analyzers, meters, soldering iron

• Basic spoken and written English

• Ability to multitask and manage your time wisely

• Positive attitude and high energy

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#LI-Onsite

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

We are looking for a Product Manager who combines sharp product instincts with real software engineering fluency to own and drive complex, multi-system SaaS products within Appier's Ad Cloud platform.

You will be responsible for defining, designing, and shipping products that span multiple backend systems, API integrations, and cross-functional stakeholders. This isn't a wireframe-and-handoff role, you'll write functional specs with API-level precision, navigate system-of-record ownership across 5+ services, and make architectural trade-off decisions alongside engineering leads.

You'll also be expected to leverage modern AI agent tools (Claude Code, Cursor, Copilot, LLM-based automation) as a core part of your PM workflow, from rapid prototyping of product specs and whitepaper-grade documentation, to data analysis and stakeholder communication. We believe PMs who can wield AI tools effectively operate at 3-5x the output of those who don't.

What You Will Do

Product Design & System Architecture [Core]

- Own the end-to-end product lifecycle for complex SaaS modules that orchestrate across multiple dependent systems (e.g., creative management, tracking, campaign operations, entity hierarchies)
- Author whitepaper-grade product design documents that cover system context maps, interoperability flows, entity hierarchies, state machines, and functional matrices, with enough precision for engineers to implement without ambiguity
- Define system-of-record ownership, API contracts, and data flow directions across multi-system architectures
- Make scope and trade-off decisions across milestones, balancing feature completeness against release velocity

Technical Specification & Execution [Technical]

- Write functional specifications at the API-level: request/response payloads, error handling contracts, idempotency requirements, and cascade/inheritance rules
- Define status matrices with explicit state transitions, ownership boundaries, and cross-system sync behaviors (one-way sync vs. bidirectional, lock/unlock mechanisms)
- Decompose large product initiatives (70+ features) into staged delivery plans with clear dependency graphs, checkpoint gates, and decision trackers for blocking items
- Work directly with engineering teams on implementation trade-offs, you read code, understand database schemas, and can evaluate technical proposals on their merits

AI-Augmented Product Management [AI]

- Use AI agent tools (LLM coding assistants, AI research agents, prompt-driven automation) as daily productivity multipliers for spec writing, competitive analysis, data modeling, and stakeholder communication
- Evaluate how AI/LLM capabilities can be embedded into the product itself, identifying where intelligent automation, content generation, or predictive features create user value
- Prototype product concepts rapidly using AI-assisted development tools, reducing the spec-to-prototype cycle from weeks to days

Cross-Functional Leadership [Leadership]

- Serve as the central product authority across engineering, design, customer success, and sales teams, translating business requirements into precise technical specifications and vice versa
- Drive decision-making on blocking items by framing trade-offs clearly, proposing options with pros/cons, and driving resolution with stakeholders
- Manage product rollouts with permission controls, feature gating, and phased go-live strategies for internal and external users

What You Will Need

[Minimum qualifications]

• Experience: 2-5 years as a Product Manager, Technical PM, or Software Engineer transitioning to product, with a track record of shipping multi-system SaaS/AI-native products
• Engineering Fluency: Solid software development background, you can read and reason about code (any language), understand REST API design, database schemas, state machines, and system architecture diagrams. Prior hands-on engineering experience is strongly preferred
• Spec Quality: Demonstrated ability to write precise technical specifications, not just user stories, but API contracts, entity relationship models, status transition matrices, and interoperability flow diagrams
• Scope Management: Experience with complex product decomposition, breaking down a 50+ feature scope into staged milestones with dependency tracking, decision logs, and blocking item resolution
• AI Tool Fluency: Working fluency with AI/LLM tools, you actively use AI coding assistants, LLM-based research tools, or prompt engineering in your daily workflow. You understand what these tools can and cannot do
• Communication: Excellent communication skills in both English and Mandarin, with the ability to produce clear written artifacts (whitepapers, PRDs, playbooks) that serve as single-source-of-truth references for cross-functional teams
• AI Agent Frameworks: Hands-on experience with modern AI agent frameworks (Claude Code, Cursor, Codex ect) or building AI-powered product features

[Nice to have]

• Background in AdTech, MarTech, or enterprise SaaS platforms with multi-tenant architectures
• Experience managing products that involve third-party system integrations and API partnerships
• Familiarity with Agile/Scrum delivery, but comfort operating in a hybrid model where staged milestone planning coexists with sprint-level execution

Appier is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#LI-AK1

[Job Overview]
We are looking for an experienced Senior Data Engineer to join our engineering team and play a key role in building and scaling our enterprise data platform. You will design, develop, and maintain high-quality data warehouses and data-driven applications that power analytics, reconciliation, and business decision-making across the organization.
This role requires strong expertise in modern data architectures, pipeline engineering, and data quality management. The ideal candidate combines hands-on technical capability with a deep commitment to reliability, scalability, and governance in a regulated environment.

[Responsibilities]
· Data operations: own day-to-day operations of data platforms/pipelines capacity, stability, upgrades, deployments, and recovery drills to sustain high availability and low latency.
· Data collection: design/manage multi-source ingestion (exchanges, internal and external systems), protocol parsing, and robust retry mechanisms.
· Develop rule-based and statistical data quality checks (completeness, uniqueness, time alignment, anomaly detection, error handling).
· Implement automated remediation, reconciliation workflows, and historical backfilling.
· Establish monitoring and alerting frameworks to ensure trusted, production-grade datasets.
· End-to-End pipelines: plan and maintain scalable ETL/ELT including scheduling, caching, partitioning, modelling, schema evolution, and lineage to support both batch and real-time streaming.
· Enforce data access controls, encryption, auditing, and classification to comply with internal policies and external regulatory requirements (including PII management).
· Apply Infrastructure-as-Code, data versioning, data tests, and CI/CD to improve predictability and reduce manual risk.
· Contribute to embedded GenAI and LLM-powered data applications for enterprise analytics, reconciliation, and internal productivity use cases.
· Partner with analytics and product teams to operationalize AI-driven data solutions.

[Requirements]
· Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
· 5+ years of experience in data engineering, data platform architecture, or AI/ML engineering.
· Strong experience with modern cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
· Hands-on experience building BI data foundations and supporting GenAI / LLM architectures.
· Proficiency in SQL and workflow orchestration tools (e.g., Airflow), streaming platforms (e.g., Kafka), and pipeline design best practices.
· Solid understanding of data warehouse development lifecycles and dimensional modeling concepts.
· Familiarity with GitLab and CI/CD pipelines.
· Strong debugging, performance tuning, and problem-solving skills.
· Working knowledge of data governance, lineage, privacy, and security frameworks.