Quality Specialist in United States

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues an

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We're seeking an Engineering Manager, UX to help build the future of AI user interfaces. In this role, you'll build and manage a team that bridges design and engineering to create intuitive, performant user interfaces that make software creation accessible on any device. You'll guide your team in building production-ready frameworks and patterns that enable high-quality in-product experiences. You’ll also help your team build core user interfaces for interacting with AI. You will: Build, mentor, and grow a team of frontend engineers, reenforcing Replit’s culture of UI excellence and craft. Define the technical vision and strategy for building/extending user interface frameworks in order to help Replit ship high quality user experiences fast. Engage design and product engineering teams to understand, triage, and prioritize requirements. Set an ambitious vision for the future of AI user interfaces, and help the team sequence the steps to make it a reality. Help the Design team tastefully refine designs by taking into account technical constraints, timelines and resources. Use your deep understanding of technology, the product, and UI, to increase the quality, performance and usage of Replit’s most important surfaces. Required skills and experience: 4+ years of engineering management experience with a track record of building and scaling high-performing teams. Proven experience delivering ambitious projects that require coordinating across multiple teams / departments. Deep technical experience in many of the following: React, CSS, CSS frameworks, mobile web, Figma. Excellent communication skills to balance technical leadership with people management, including mentoring, performance management, and career

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Team Brand & Creative defines how Replit shows up in the world and leads the creative work that brings it to market. On the Brand side, the function sets company-level direction: defining the brand, shaping the narrative, and establishing how Replit is understood and expressed in the market. On the Creative side, the function leads the planning, development, and execution of creative work across campaigns, launches, events, and major company initiatives; translating strategy into high-quality outputs across every touchpoint. Brand & Creative ensures that what Replit is and what Replit makes remain aligned. Resulting in a clear, consistent, and differentiated brand experience across the company. Role The Brand Designer is responsible for defining, developing, and maintaining the Replit brand system. The role focuses on core brand foundations and their application across key surfaces, including product and marketing. In partnership with internal and external partners, this role ensures the brand is clear, consistent, and scalable across all touchpoints. This role reports to the Brand & Creative Lead. Responsibilities Define and evolve the Replit visual brand system Design and maintain core brand assets, guidelines, and documentation Apply the brand system across key surfaces including product, web, and primary marketing channels Partner with Product and Design to ensure consistent brand expression within the product experience Provide guidance and feedback to internal teams and external partners on brand usage Partner with external design studios and agencies to develop and extend the brand system Review and direct external work to ensure alignment with brand standards Ensure consistency and quality across al

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: As a Staff Product Engineer at Replit, you’ll work closely with other product and platform engineers, designers, sales representative, and product managers to build features that help users collaborate with their team to go from idea to software fast. You’ll be at the forefront of shaping and experimenting on what our tens of millions of users love. You will: Help lead major projects and take new products from 0->1 Identify the hardest technical and/or quality problems holding us back, and then build solutions Chart high level technical direction and follow up to make sure those projects come together to deliver on results Mentor and develop new senior engineers to help grow the team Ship new features and build infrastructure using: TypeScript, React, CSS, GraphQL, Node.js, and Postgres Required skills and experience: A minimum of 7 years of professional software development experience Experience in a technical leadership role, working cross functionally Working experience building full stack applications with TypeScript Working experience building directly for users Bonus Points : You’re excited about the future of programming and have experience working with IDEs, terminals, or other common developer tools You’ve had previous experience working at a startup in a cross-functional engineering role This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ( US Only ) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you. In this role you will: Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: Distributed systems: Track record of working with platform-as-a-service, distributed storage, o

What you’ll do Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable. Own ultrasound experimentations that feeds the image reconstruction team Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing. Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time. What we’re looking for Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab. Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts). Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment. Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation. High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team. Useful experience Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging. Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity

About the role Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small self-funded team focused on design, human infrastructure, and AI. We're looking for a talented visual designer to shape how Midjourney shows up in the world. We are looking for someone with a fresh, opinionated, and high-quality design foundation who can create work that feels distinct, not what’s now but what’s next. You'll partner closely with the leadership on campaigns and visual storytelling across earned and owned channels. This is a freelance engagement with potential for a long-term partnership as the work (and team) grows. What you'll do Design campaign visuals: ads, social, launches — from concept through finished assets Bring editorial design sensibility to our owned channels: email/welcome series, blog, campaign imagery Develop visual systems that are expressive rather than corporate Partner with marketing on what earned and owned should look and feel like Collaborate async with a small, fast-moving team You might be a fit if You're a senior IC — roughly 5–8 years in — with a portfolio of expressive, culturally fluent graphic design: editorial, campaigns, identities across print and digital Typography and composition are your first language You can direct as well as execute: you've shaped campaigns, not just produced assets for them You're plugged into visual culture across art, fashion, publishing, music, and the internet You work well remote and independently Nice to have Editorial/publication experience (print or digital magazines) Motion or illustration You already make things with generative tools Logistics Freelance/contract, part-time to start, with room to grow Fully remote, anywhere. No travel required (though you're always welcome in SF) To apply Send your portfolio. We care about taste, range, and point of view.

What you’ll do Own day-to-day operations for the scanner program and scanner builds in the spa: purchasing/procurement, vendor management, receiving, inventory, and logistics. Stand up lightweight production operations as we move from prototypes to repeatable builds: build planning, kitting, work instructions, and readiness checklists. Partner with Quality to ensure the operational system supports compliance: traceability, document control, training records, NCR/CAPA workflows, and audit readiness. Drive cross-functional execution for the physical spa build-out and scanner integration: schedules, dependencies, risk register, and weekly coordination with vendors and internal teams. Own the “integration glue” across facilities + device ops: commissioning plans, acceptance criteria, and operational handoff (runbooks, maintenance, spares, escalation paths). Build and track operational metrics: cost, budget, lead times, vendor performance, build throughput, and reliability of critical subsystems. Audit of import/export documentation, management of contract renewals, regulatory compliance. What we’re looking for Proven operations leadership in hardware/medical/robotics (or similarly complex electromechanical products), including procurement and vendor management. Strong program management instincts: can run schedules, unblock cross-functional dependencies, and keep priorities clear under ambiguity. Comfort operating in quality/regulatory environments and building processes that are rigorous without slowing a small team. High ownership and bias to action: can jump between spreadsheets, docks, and the lab/site to keep the program moving. Useful experience Experience running prototype-to-production transitions (NPI, EVT/DVT/PVT-style builds, CM/EMS collaboration). Facilities / construction operations experience (GC coordination, MEP commissioning, site readiness). Familiarity with inventory systems and procurement tooling (even “simple but disciplined”).

What you’ll do Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability. Own core runtime foundations: distributed control, state management, fault handling, and reliability. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints). Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress. What we’re looking for Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products. Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering). Track record of shipping systems that are observable, debuggable, and resilient. Strong technical leadership: clarity, pragmatic trade-offs, and mentoring. Useful experience Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling. High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review. Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior. Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI. Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.

What you'll do Run human-subjects recording sessions end-to-end: participant prep and fitting, sensor configuration and calibration, stimulus delivery, real-time signal monitoring, and session documentation. Own daily system QC for a one-of-a-kind sensing instrument: baseline noise recordings, per-sensor health checks, log review, and escalation of anomalies before they touch a dataset. Own participant operations: recruitment coordination, scheduling, screening, consent, and compliant handling of participant records. Stand up and maintain the operational backbone of the program: SOPs for acquisition, QC, and participant workflows — documentation that survives you. Handle first-pass data operations: file conversion, organization, metadata, and quality review in Python. Partner daily with the program lead to refine acquisition protocols and improve system performance over time. What we're looking for Hands-on experience acquiring physiological or imaging data from human participants in a clinical or research setting Obsessive consistency and attention to detail: you notice when something is off and you don't let it slide. Professional, patient, and calm with research participants — sessions succeed or fail on how people feel in the room. Basic scripting ability (Python and/or shell) for QC and data-handling tasks, or clear aptitude and motivation to build it. High ownership of the unglamorous parts: scheduling, documentation, tidy data hygiene. Discretion — parts of this program are not yet public. We'll walk you through the specifics, including the exact technology you'd be operating, in the first conversation. Useful experience Controlled or low-noise recording environments and highly sensitive instrumentation. Physiological signal-processing tools in Python. Human-subjects research administration (IRB protocols, consent workflows). Research studies involving structured tasks or sensory protocols with human participants.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity The Telemetry Data Platform group at New Relic builds the foundation for all of our products: data ingest, storage, and query. As an engineer working on NRDB, you’ll be contributing directly to the proprietary telemetry database technology at the core of our business. We own our software from top to bottom and are directly responsible for its quality and reliability. Each member of the team shares our pager rotation and will occasionally be on-call to respond to system failures; so we prioritize work that keeps the lights on and the pager quiet, in addition to the work that powers all of our new products and streams of data. If the idea of working on systems that process millions of messages per second and handle exabytes of data excites you, then you may be an excellent fit! What you'll do Develop new features with a focus on optimizing performance and efficiency Collaborate with the team to implement scalable solutions and enhance application performance Identifying and acting on opportunities to improve the reliability of our services This role requires 2+ years of professional experience in distributed SaaS software development. Proficiency in Java programming, expertise with algorithms and data structures, and building high-throughput software following best-practices. Deeper understanding of distributed systems and their core challenges. Experience using the command line to manage, investigate, and fix things when they’re broken. Expe

The Dashboards product is Datadog's unified single-pane-of-glass for metrics, logs, and traces—a comprehensive treasure trove of observability data. We are transforming Dashboards into an AI-native control surface and the central hub where every team moves seamlessly from question to insight to action – providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas. We're hiring a Staff Applied Scientist to define and guarantee the quality of this AI system at scale. "Good" isn't one number — it spans answer quality, tool-selection accuracy (critical given the growing catalog of data sources and visualizations), retrieval relevance, latency, token cost, and end-to-end agent success. The space is full of open questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when a user’s query can result in the agent making decisions against dozens of visualizations and data sources – both of which are growing month over month? How do you build a measurement system that catches regressions across all widget types and data sources (e.g., enforcing correct grouping, sorting, and time overrides), and is easy to use and extend by dozens of teams? If those are the problems you want to spend your time on, come build this with us. 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 evaluation strategy for Dashboards, as well as sister teams within our organization. Define the metrics — offline and online, quality and cost, single-turn and multi-turn — that the team and the broader organization optimize against. Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, an

Team description At Datadog, AI agents are becoming first-class consumers of observability, security, and software delivery data — from third-party coding agents like Claude Code, Cursor, and Copilot, to our own Bits SRE, Bits Assistant, and Bits Dev Agent. The Agentic Interfaces team owns the platform that connects these agents to Datadog: the MCP Server, the tools and retrieval surfaces agents call into, and — critically — the evaluation systems that tell us whether an agent's experience on Datadog data is actually getting better over time. This role is about that last piece. We're hiring a Staff Applied Scientist to define what "good" means for an Agentic interface at Datadog and to build the measurement systems that make it true. "Good" isn't one number — it spans answer quality, tool-selection accuracy, retrieval relevance, latency, token cost, and end-to-end agent success on real customer workflows. You'll design the evals, build the datasets, define the metrics, and partner with the AI engineers on the team to land the platform that lets every product group at Datadog ship integrations that are demonstrably better release over release. The space is full of open research questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when the tool catalog has hundreds of entries and grows weekly? How do you build a measurement system that catches regressions across first-party and third-party agents at once, without each team writing their own harness? If those are the problems you want to spend your time on, come build this with us. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. What You’ll Do: Own the evaluation strategy for Datadog's AI agent integrations. Define the metrics — offline and online, quali

We’re looking for a Staff Product Designer to join the APM (Application Performance Monitoring) team. This team is focused on helping engineers agentically troubleshoot and optimize their applications. You'll learn the domain and proactively spot areas for improvement, getting stakeholder buy-in as needed. You'll own your design work end-to-end while helping shape broader product direction. You'll also hold a high bar for quality across the team and help other designers build support for their decisions. 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: Become a design leader within APM by proactively identifying opportunities and shaping the design strategy across multiple product areas and workflows. Partner closely with PMs and Engineers to ship intuitive experiences, balancing user needs with platform scalability and engineering constraints. Conduct and synthesize qualitative and quantitative research to identify pain points, validate solutions, and guide roadmap decisions. Communicate design rationale clearly and persuasively across design, engineering, product, and executive stakeholders. Mentor and support other designers by providing feedback, sharing frameworks and workflows, and helping raise the overall design quality bar across the organization. Prototype in code to rapidly explore ideas and validate concepts. Contribute to production code using AI-assisted workflows to ensure execution matches design intent. Help the team adopt AI-enabled design workflows. Who You Are: You have 10+ years of experience in digital product design. Your portfolio demonstrates a strong track record of designing and shipping complex technical products. You use AI-assisted workflows to prototype and rapidly iterate. You have a track record of connecting