Your responsibilities will include:

• Partnering at the strategic pillar level to inform technical strategy and investment priorities
• Spinning up 0-to-1 work streams, bringing together engineers who've never worked as a team, disambiguating the problem space, building momentum under aggressive timelines, setting high expectations, and driving execution
• Executing on the most ambiguous, highest-stakes problems, writing code, shipping features, and being deep in the weeds
• Leading experimental work at the AI frontier, running your own A/B tests, doing prompt engineering, building evals, and calibrating accuracy, cost, and latency for LLM-powered features
• Shaping long-term technical strategy through execution, building and thinking about what needs to change about how we build products – data models, system design, the shift from GUI-first to agent-first interfaces
• Working across the full stack in an AI-first development environment, pushing the boundaries of what's possible with AI-assisted development and helping shape how the entire engineering org works
• Raising the bar for the people around you, giving direct, actionable feedback that changes outcomes

We're looking for someone with:

• Engineering depth and product thinking, combining deep engineering ability with strong product and design instincts
• Experience operating at real scale and having builder energy, with a bias toward building over discussing
• AI fluency, actively experimenting with AI-assisted development and pushing the boundaries of what's possible
• Deep technical depth with breadth, navigating complex multi-team systems with ease
• Communication as a superpower, explaining to leadership why a technical investment matters, aligning multiple teams around a complex project, and walking an engineer through the gnarly implementation details
• Extreme autonomy, partnering with the Engineering Director on where you think the pillar needs to go next
• Critical thinking about the business, understanding what Intercom is optimizing for and translating that into technical decisions
• At least 10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders
• Stack agnostic, with experience working with Ruby on Rails, React, and AWS, and being fluent with AI-assisted development tools like Claude Code

If you're looking for a challenging role that will push you to grow and develop as an engineer, and you're passionate about AI and customer service, we'd love to hear from you!

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What you'll do at Figma:

• Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma Design
• Partner closely with product leaders to find opportunities, generate strategy, and define success
• Break down complex business challenges into clear research plans; lead the end to end research process and demonstrate strong storytelling skills to deliver significant impact to Figma’s businesses
• Harness your product mindset and storytelling chops to influence product roadmap
• Advocate for the role of Research as a strategic partner in the business process

Requirements:

• 7+ years of experience in UX research or user insights at a high growth B2B SaaS company
• Expertise in applying a variety of research methodologies, including both qualitative and quantitative techniques, to address product challenges spanning from opportunity identification, concept testing, to feature iterations
• Shown success in identifying assumptions that underpin key challenges, prioritizing the most critical assumptions, and creating right sized research approaches to test those critical assumptions
• A proven track record of gaining consensus from executive team members and cross disciplinary partners, going beyond mere research mechanics and findings to articulate a larger user story, and the “so what” to inspire action
• Experience conducting research on AI-powered features or working on teams exploring AI applications

Nice to have:

• 2+ years in product design, user centric product management, product development, and/or front end engineering
• A familiarity and depth of experience using Figma’s products

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level , from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering group focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, integrations, and implementation workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys.

The ideal candidate is a seasoned engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding and implementation experience.

• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.

• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.

• Drive execution of the Activation roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.

• Lead and manage multiple teams of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.

• Build systems that integrate identity verification, KYC and compliance workflows, customer data ingestion, and implementation tooling in a scalable and reliable manner.

• Drive continuous improvement in engineering processes, technical architecture, and product quality.

• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Strong technical background and understanding of software development principles.

• Expertise leading full-stack engineering teams delivering end-to-end product experiences.

• Demonstrated track record of shipping customer-facing features across multiple release cycles.

• 3+ years of experience managing or leading multiple technical teams in a high-growth environment.

• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.

• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.

• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.

• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.

• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

• You are a champion for the customer and constantly put yourself in their shoes to create intuitive, frictionless experiences.

Compensation

The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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You will be responsible for looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. You will also support our support engineers with harder problems.

To be successful in this role, you will need a strong background in distributed systems and consensus algorithms. You should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and be able to understand and work on complex, highly distributed systems.

In addition to your technical skills, you should be able to own projects from beginning to end, covering both technical design and working with others to develop needed components. You should also have experience leading projects spanning multiple teams and communicating with a variety of stakeholders.

Bonus points will be given for data stores, search, analytics, Lucene, strong knowledge of the JDK, and asynchronous event-driven network frameworks such as Netty.

This role is eligible to participate in Elastic's stock program and has a competitive salary range of $192,500-$304,500 CAD.

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This is a senior software engineering role that covers the design and implementation of new features, enhancements to existing features, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

Responsibilities

• You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you'll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware.
• You'll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. You'll get to work with the teams that build the UI to ensure a good user experience, and you'll get to work with the teams building solutions on top of these APIs
• You'll be an expert in several areas of Elasticsearch, and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.
• You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts, and sometimes handling them yourself.
• You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Requirements

• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
• You have experience with software systems engineering
• You have a strong desire to optimize and make use of the most efficient data structures and algorithms.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code, approaches, and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You’ve worked in the search and information retrieval space. You’re familiar with the data structures and algorithms associated with information retrieval.
• You’ve worked on data storage technology or have experience building data analytics capabilities.
• You have experience designing, leading and owning cross-functional initiatives.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration

Compensation

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is:$133,100-$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900-$252,900 USD

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Required experience includes 10+ years of software engineering experience, 5+ years managing engineering managers, and leading engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business. You should also have scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality, and be technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces.

Nice-to-have experience includes healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes, experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design), experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows), and experience rethinking team structure or hiring profiles in response to AI productivity gains.

Our stack includes Python (Django/FastAPI), TypeScript/React, Elasticsearch, PostgreSQL, Redis, dbt, Snowflake, Temporal, and custom ML models. Everything runs on AWS.

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As a Product Design Director, you will be responsible for leading, coaching, and inspiring a team of designers and design leaders working across multiple product surfaces. You will partner with Product and Engineering leadership counterparts to lead a product division, aligning strategy, driving decisions, and unblocking delivery. You will set and uphold an extremely high bar for craft, from UX flow to pixels to polish.

You will solve problems from first principles, not templates. You will help your team make hard decisions, move fast, and focus on outcomes over process. You will be a design quality amplifier, noticing the details others miss, and pushing the work to where it needs to be. You will build a healthy, high-trust team culture grounded in feedback, growth, and ownership.

You will stay hands-on in the work, reviewing designs, jumping into critiques, and driving clarity. You will be a key player in shaping how the entire company builds product in the AI era, not following playbooks, but writing new ones.

You will know you're successful if your team is delivering high-quality product work at speed, consistently. You've hired exceptional talent and helped your existing team grow. You've partnered with other design leaders and operations functions to implement the correct amount of structure and rigour required for success.

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We're on the lookout for talented Mobile iOS Engineers who are passionate about creating amazing user experiences. In this role, you'll have the chance to dive into developing features that are not just functional but truly intuitive and enjoyable for our users. We want you to take ownership of scaling our shared services while keeping up with the latest in the iOS world. You'll work closely with teams across Product, Identity, Security, System Design, and Infrastructure, collaborating to build solutions that really make a difference.

If you're excited about building elegant, scalable apps and being part of a supportive, innovative mobile team, we'd love to hear from you!

About the Team:

At Gusto, we're excited to be at a pivotal moment in our journey with over 1M+ monthly active users and the recent launch of our employer experiences on mobile. Our mission is to tackle the real challenges faced by small business owners and their employees, and we believe that mobile is key to delivering impactful solutions. As part of our mobile team, you'll be at the forefront of this transformation, working alongside talented engineers and designers who are passionate about creating a seamless mobile experience. Together, we're building a platform that empowers everyone,small business owners and their teams,to thrive.

Here's what you'll do day-to-day:

• Architect, build, test, and refine Gusto's native iOS app, along with supporting mobile web views that enhance user experience.
• Develop, iterate, and improve product features that integrate core business functions, work tools, value-added services, and financial products.
• Collaborate closely with our product management, design, and partner teams to identify technical and customer pain points, brainstorm solutions, and then prototype, iterate, and launch those solutions.
• Work cross-functionally with teams in product apps, identity, security, design systems, and infrastructure to deliver world-class experiences right into our customers' hands.
• Build and scale essential services, such as push notification systems and localization features, to enhance app functionality.
• Enhance and maintain our iOS mobile infrastructure, including build pipelines, testing automation, and the release process, to ensure smooth operations.

Here's what we're looking for:

• A minimum of 6 years of experience in Swift and iOS software engineering, with at least 8 years in mobile software engineering overall.
• Excellent communication skills and a knack for building strong cross-functional partnerships.
• A self-driven mindset with the ability to tackle greenfield projects and bring innovative ideas to life.
• Proficiency in iOS testing frameworks and a solid understanding of best practices.
• Experience in developing platform components and common features that enhance scalability, consistency, and maintainability throughout the product development lifecycle.
• Strong critical thinking abilities and a keen attention to detail.
• A willingness to learn continuously and a passion for mentoring others on the team.

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Brex is a financial platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows.

Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact.

This role is highly cross-functional and collaborative, you will have the opportunity to work with every engineering team across Brex.

Building a world-class financial service requires world-class security. Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts

• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features

• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices

• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role

• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains

• Experience with a wide range of secure development activities including, threat modeling, developer education, and incident response

• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity

• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes

• Previous experience as a software engineer

• Consultancy experience performing web application security reviews

• Experience with securing distributed systems in AWS and cloud environments

• Experience with pentesting and securing agentic features and systems

• Contributions to the wider technical community, open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc

Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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We're seeking a Senior Product Designer to join our team in London. As a Senior Product Designer, you will lead complex, high-impact product initiatives from discovery to release. You will design AI-powered features and workflows that feel intuitive, are trustworthy, and valuable.

Responsibilities:

• Lead complex, high-impact product initiatives from discovery to release.
• Ship regularly,prioritizing real-world impact over pixel-perfect mockups.
• Design AI-powered features and workflows that feel intuitive, are trustworthy, and valuable.
• Work alongside engineers to refine implementation details and ensure high-quality execution.
• Ship front-end development into the codebase.
• Use necessary tools to create prototypes and/or tools to test workflows, interactions, and edge cases.
• Balance user needs, technical constraints, and business goals to deliver measurable outcomes.
• Strengthen and evolve Dialtone, ensuring scalable, accessible, and cohesive system design.
• Identify new opportunities where AI and automation can create meaningful value for customers.
• Mentor other designers and elevate the craft, speed, and quality of how the team ships.

Requirements:

• Have 5+ years of experience shipping high-quality, thoughtful product design work.
• Demonstrate a strong track record of delivered experiences.
• Be highly comfortable navigating ambiguity and leading complex projects independently.
• Think in systems,designing cohesive end-to-end experiences rather than isolated screens.
• Comfortable working in front-end code and deeply collaborating with engineering.
• Experience working with AI tools and designing AI-enhanced experiences.
• Communicate clearly and persuasively across disciplines, including with leadership.
• Care deeply about craft, detail, usability, and measurable product outcomes.
• Proactively identify problems, propose improvements, and drive work forward without waiting for direction.
• Have experience designing AI-native products, conversational interfaces, or automation workflows.
• Have directly contributed to production codebases.
• Have experience building SaaS or enterprise collaboration platforms.
• Be familiar with communication technologies (voice, messaging, contact centers, or real-time collaboration).
• Have helped evolve or scale a design system.
• Bring experience with experimentation frameworks and data-informed iteration.
• Contribute to the broader design community through writing, speaking, or mentoring.

Why Join Dialpad:

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee’s impact
• Competitive salary, comprehensive benefits, and real opportunities for growth

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The Anthropic Platform Org's mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.

Responsibilities:

Customer Understanding & Advocacy

• Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
• Run regular feedback sessions and technical reviews with key enterprise customers
• Build strong relationships with enterprise development teams to understand their workflows and challenges
• Transform customer insights into actionable product requirements and priorities

Product Strategy & Vision

• Define and execute the enterprise API strategy, balancing security requirements with developer experience
• Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
• Identify and prioritize key enterprise integration patterns that drive organisational value

Enterprise API Development

• Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
• Design and implement enterprise integration frameworks and SDKs for common enterprise systems
• Drive development of industry-specific API features and compliance capabilities

Cross-functional Leadership

• Partner with sales and customer success to understand enterprise requirements and support technical evaluations
• Work closely with security and compliance teams to meet enterprise standards
• Collaborate with platform teams on API architecture and scalability
• Engage with marketing to develop enterprise API positioning and technical materials

You may be a good fit if you:

• Have 10+ years of experience in high-scale, high-reliability developer-facing software.
• Have 5+ years of product management experience.
• Have built or shipped products with a hyperscaler as a partner , you know how to align goals and deliver impact across that boundary.
• Have owned a revenue number, a margin target, or a channel P&L , not just a product roadmap.
• Operate with high autonomy in ambiguous, fast-moving environments.
• Are an excellent written communicator and able to drive clarity out of complexity.
• Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organisation.

Strong candidates may also have:

• Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
• Direct experience as a PM at AWS, GCP, or Azure , or at an ISV that ships through one of their marketplaces.

The annual compensation range for this role is $305,000-$385,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities: Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications: Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations. Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. Strong communication, interpersonal, analytical, detail-oriented, and organisational skills, with the ability to articulate audio-related feedback effectively. Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience: Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. Deep understanding and taste of what good/useful Audio data is. Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyse accent variation, pronunciation differences, and multilingual speech patterns. Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

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Required qualifications include a high school diploma or equivalency certificate, 2+ years of experience in a manufacturing, shipping, or logistics environment, 2+ years of experience supporting administrative processes, experience with MRP/ERP/MES (Netsuite, Oracle or equivalent systems), strong computer skills, familiar with the full suite of MS Office products, Tableau, Confluence, SQL or any reporting feature experience, and being a U.S. Person due to required access to U.S. export controlled information or facilities. Preferred qualifications include 2+ years of experience handling parts in a manufacturing setting, experience in organizing files and documents, inventory experience, experience in aerospace, automotive, semiconductor, or electronic manufacturing environments, APICS certification, and Lean Manufacturing Principles.

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You'll be working closely with our Design team to evolve and scale our component library, ensuring it's accessible, composable, and well-documented. You'll also be responsible for profiling, diagnosing, and fixing client-side performance bottlenecks, establishing performance budgets, and building dashboards to keep the team honest.

As a force multiplier, you'll act as a coach and enablement specialist, helping product teams adopt improvements and level up their craft. You'll write playbooks and docs, deliver tech talks, pair with product engineers, and create local tooling to improve developer speed and quality.

In this role, you'll have the opportunity to work on a wide range of challenging projects, from performance optimization to design system evolution. You'll be part of a flat organizational structure, where everyone is valued and empowered to contribute. And, as a remote-friendly company, you'll have the flexibility to work from anywhere, with opportunities for in-person collaboration when needed.

If you're passionate about frontend platform work, enjoy making an entire engineering organization faster and more effective, and are excited about the prospect of joining a dynamic and growing company, we'd love to hear from you!

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In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:

• Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with.

• Define what success looks like across our agent portfolio and make sure we're tracking against it , not just shipping, but learning.

• Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.

• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.

• Build the instrumentation and observability layer that makes agentic CI trustworthy , trigger volume dashboards, retry rates, cost safeguards , so we can measure what's working, catch what isn't, and iterate with confidence.

• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

You'll shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. You'll design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform. You'll define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate. You'll build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. You'll own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data. You'll write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. You'll lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. You'll share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI.

This role requires advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. You should have strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. You should have hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. You should have practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. You should have a data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. You should have familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. You should have strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. You should have clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.

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We are seeking a highly skilled and experienced Staff Software Engineer to join our Communication Products team. As a Staff Engineer, you will be responsible for leading the technical vision for ML-powered messaging features, architecting and delivering intelligent capabilities end-to-end, and partnering deeply with ML and product teams.

The Difference You Will Make:

As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration.

A Typical Day:

• Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability
• Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions
• Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact
• Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions
• Mentor, guide, advocate, and support the career growth of individual contributors
• Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation

Your Expertise:

• 9+ years of relevant engineering hands-on work experience
• Bachelors, Masters, or PhD in CS or related field
• Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring
• Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications
• Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding
• Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering
• Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution
• Experience operating distributed, real-time systems at scale with high reliability requirements
• Experience with real-time messaging systems or event-driven architectures
• Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms)
• Prior work on trust & safety, content moderation, or internationalization in a messaging context
• Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $204,000-$255,000 USD

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As a Principal Software Engineer, you will be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You'll work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.

You'll be an expert in several areas of Elasticsearch and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.

You'll help us create the future of search within Elasticsearch - building a scalable search tier for our Serverless platform and writing search functionality in ES|QL, our new piped query language as two examples.

You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.

You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

We're looking for someone with strong skills in core Java and a conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You should be comfortable developing collaboratively, giving and receiving feedback on code and approaches and APIs.

You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.

You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus points if you've built things with Elasticsearch before, worked in the search and information retrieval space, or have experience writing code for software-as-a-service or platforms-as-a-service.

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Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights.

As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave's telemetry layer.

You'll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways.

Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure.

About the role

• 6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs.

• Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs.

• Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and multi-tenant system resilience.

• Familiar with observability systems such as ClickHouse, Loki, VictoriaMetrics, Prometheus, and Grafana.

• Experienced in agentic applications or LLM-based features, including grounding, tool calling, and operational safety.

• Comfortable writing production code primarily in Go, with the ability to integrate Python components when needed.

• Collaborative experience in agile teams delivering end-to-end telemetry-to-insights pipelines.

Preferred

• Experience operating Kubernetes clusters at scale, especially for AI workloads.

• Hands-on experience with logging, tracing, and metrics platforms in production, with deep knowledge of cardinality, indexing, and query optimization.

• Experienced in running distributed systems or API services at cloud scale, including event streaming and data pipeline management.

• Familiarity with LLM frameworks, MCP, and agentic tooling (e.g., Langchain, AgentCore).

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!

We're in an exciting stage of hyper-growth that you will not want to miss out on.

We're not afraid of a little chaos, and we're constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking.

We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.

As we get set for takeoff, the organization's growth opportunities are constantly expanding.

You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

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You will develop ongoing partner capability via the 'Technical Champions program' within our top C&SI Partners to support CoE creation and delivery excellence.

You will provide strategic vision related to the Databricks Data Intelligence Platform aligning to the GSI engagement in our top accounts and develop and support programs to promote Partner expertise in the application of the Databricks Data Intelligence Platform.

Reporting to the Director, Field Engineering (Partner Solutions Architect)

The impact you will have:

A Partner Solutions Architect plays a crucial role in the success of the Databricks partner ecosystem by ensuring partners have the technical knowledge and experience to build, maintain and grow successful solutions for their customers.

This, in turn, drives the adoption and success of the Databricks Data Intelligence Platform and the Partner solutions in the market.

To achieve this, the PSA will:

• Accelerate Partner pre-sales and delivery in joint, strategic customer accounts by aligning Partner and Databricks Resources and providing technical expertise to accelerate adoption and consumption of the platform

• Work closely with Databricks account teams to help our partner ecosystem scope, evaluate and deliver large scale data projects and transformational programmes

• Grow the Partner Databricks delivery capability by providing technical expertise to help design, build and maintain repeatable solutions using Databricks Products and Services

• Develop, maintain and grow Senior Technical Executive relationships to identify new business opportunities, innovative use cases, competition and support joint go to market initiatives.

• The role requires up to 40% travel to GSI Partner sites and the Databricks German offices.

What we look for:

• Extensive experience hands-on as a Data Professional in a modern cloud-based data stack

• At least 3 years experience with technical pre-sales and sales methodologies within a consumption business model

• Collaborate closely with partner organisations at the senior executive level to understand their needs and objectives and align to Databricks products and Services

• Conduct training sessions, workshops, and webinars to educate partners on new technologies, features, and best practices.

• Develop and maintain technical content such as whitepapers, case studies, and solution guides to assist partners in leveraging the Databricks offerings

• Prior experience with coding in a core programming language (i.e., Python, Java, Scala)

• Designing, implementing and maintaining end to end Data Architectures for Big Data, Data Warehousing and AI on MPP based platforms

• Managing multiple, frequently changing priorities across multiple teams

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As an expert in Swift, with deep knowledge of SwiftUI and UIKit, you'll design and ship intuitive, pixel-perfect mobile UIs that redefine how users interact with AI. You'll be proficient in performance optimization,memory, CPU, GPU,using low-level tools to deliver blazing-fast systems. You'll be skilled in concurrency and reactive programming (Combine) for responsive, real-time apps. You'll built high-throughput integrations with APIs (REST, gRPC) or AI model outputs, ensuring seamless data flow. You'll be capable of owning complex features end-to-end, from architecture to App Store deployment, with a focus on speed and scalability.

As a member of our team, you'll be expected to have strong communication skills, be able to concisely and accurately share knowledge with your teammates, and work collaboratively with AI researchers and engineers to deploy state-of-the-art models globally.

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This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them. If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place.

Responsibilities:

• Lead the team that architects and designs notifications relevance at Reddit.
• Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
• Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
• Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
• Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
• Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
• Communicate your team’s work and set expectations with cross-functional stakeholders.
• Help your engineers identify career goals and create development plans to achieve them.
• Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.

Requirements:

• 2+ years of experience building and managing engineering teams.
• 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
• Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
• Hands-on experience working with deep learning models, sequential features and real-time systems.
• Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
• Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
• Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
• Able to communicate and discuss complex topics with technical and non-technical audiences.
• Able to tackle ambiguous and undefined problems.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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You'll partner closely with Brand, Marketing, and Product Design to translate complex technical stories into sharp, high-quality visual communication, and you'll help us move faster by introducing modern AI-assisted creative workflows that the whole team can adopt.

Key responsibilities include:

• Design and ship marketing assets across channels,blog graphics, social, ads, landing-page assets, one-pagers, templates, collateral and more.
• Create and maintain a repeatable, on-brand system for output (templates, reusable components, and lightweight guidelines) so quality scales with volume.
• Partner with stakeholders to critique and refine briefs (not just execute them),clarifying goals, tightening scope, and improving upstream inputs over time.
• Bring options and rationale (not just files): share 2–3 strong directions and explain tradeoffs.

We're looking for a 5+ year experienced brand/visual designer with strong static-first craft, a portfolio showing high-quality work, and proven ability to use AI tools to increase creative throughput.

Additional requirements include proficiency in Figma and the Adobe suite, familiarity with modern creative AI tooling, and willingness to learn Alchemy's product suite deeply.

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When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe.

We're looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms.

A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results.

Some of our team's notable publications include A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, Toy Models of Superposition, Scaling Monosemanticity, and our Circuits’ Methods and Biology papers.

This work builds on ideas from members' work prior to Anthropic such as the original circuits thread, Multimodal Neurons, Activation Atlases, and Building Blocks.

We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post).

In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition, Superposition, Memorization, and Double Descent, and our May 2023 update), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components.

Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction.

In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.

This is a stepping stone towards our overall goal of mechanistically understanding neural networks.

We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer.

We also have an Interpretability Architectures project that involves collaborating with Pretraining.

Responsibilities

• Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
• Design and run robust experiments, both quickly in toy scenarios and at scale in large models
• Create and analyze new interpretability features and circuits to better understand how models work.
• Build infrastructure for running experiments and visualizing results
• Work with colleagues to communicate results internally and publicly

You may be a good fit if you:

• Have a strong track record of scientific research (in any field), and have done some work on Interpretability
• Enjoy team science – working collaboratively to make big discoveries
• Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away
• You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results
• You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null

To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability?

Familiarity with Python is required for this role.

Role Specific Location Policy:

• This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $350,000-$850,000 USD

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The Anthropic Platform Org's mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.

Responsibilities:

Customer Understanding & Advocacy

• Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
• Run regular feedback sessions and technical reviews with key enterprise customers
• Build strong relationships with enterprise development teams to understand their workflows and challenges
• Transform customer insights into actionable product requirements and priorities

Product Strategy & Vision

• Define and execute the enterprise API strategy, balancing security requirements with developer experience
• Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
• Identify and prioritize key enterprise integration patterns that drive organisational value

Enterprise API Development

• Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
• Design and implement enterprise integration frameworks and SDKs for common enterprise systems
• Drive development of industry-specific API features and compliance capabilities

Cross-functional Leadership

• Partner with sales and customer success to understand enterprise requirements and support technical evaluations
• Work closely with security and compliance teams to meet enterprise standards
• Collaborate with platform teams on API architecture and scalability
• Engage with marketing to develop enterprise API positioning and technical materials

You may be a good fit if you:

• Have 10+ years of experience in high-scale, high-reliability developer-facing software.
• Have 5+ years of product management experience.
• Have built or shipped products with a hyperscaler as a partner , you know how to align goals and deliver impact across that boundary.
• Have owned a revenue number, a margin target, or a channel P&L , not just a product roadmap.
• Operate with high autonomy in ambiguous, fast-moving environments.
• Are an excellent written communicator and able to drive clarity out of complexity.
• Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organisation.

Strong candidates may also have:

• Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
• Direct experience as a PM at AWS, GCP, or Azure , or at an ISV that ships through one of their marketplaces.

The annual compensation range for this role is $305,000-$385,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users.

The impact you will have:

• Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.
• Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.
• Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.
• Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry.
• Partner with cloud providers and support confidential compute - Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.

What we look for:

• 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.
• Domain expertise in data security, data privacy, and encryption
• An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.
• Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Passion for designing products that simplify user experience of technically complex products.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

XML job scraping automation by YubHub

About the Role: The Head of Programmatic Outcomes (Product) shapes the product-led growth strategy, in-product activation design, and adoption loops that reach every knowledge worker , not account by account, but at population scale , in deep partnership with Anthropic’s Product, Growth Marketing, and Strategy functions.

Responsibilities:

• Drive the PLG activation strategy across Claude Teams, Claude for Enterprise, Claude Code, and API , partnering with Product PMs and Growth Marketing to define plays that drive adoption from first login to habitual daily use

• Co-design onboarding sequences, in-product nudges, and activation milestones with Product , then codify them so the Customer Success team and partners execute at scale

• Partner with Product and Strategy to define which usage signals indicate healthy vs. at-risk accounts and trigger the right human or automated interventions

• Partner closely with Product PMs to ensure the activation motion is built into the product, not bolted on , serving as the dedicated GTM voice advocating for UX patterns and enablement features that reduce time-to-value, and reducing duplication between Product-owned onboarding and CS-owned playbooks

• Develop and test hypothesis-driven activation plays across specific knowledge-worker use cases (Finance, Legal, HR, exec workflows) , codifying what converts at scale

• Hold the connective tissue across the Partners and Growth Marketing capability leads to ensure PLG motions are product-anchored, not just relationship-driven or campaign-driven , this leader is the integration point, not a parallel function

• Establish adoption benchmarks, population-level penetration metrics, and health indicators the programmatic team uses to track progress on the knowledge-worker gap

• Feed product activation learnings back into the Success motion , creating the intelligence loop between population-level data and account-level execution

Requirements:

• 8+ years in PLG, growth PM, product marketing, or CS strategy with direct ownership of activation or adoption metrics

• Experience designing and running product-led onboarding or activation programs at enterprise SaaS or AI companies , not just contributing to them

• Deep understanding of how product telemetry translates into adoption signals and how to trigger the right human and automated interventions

• Strong cross-functional fluency: you’ve worked embedded with Product teams while maintaining a GTM orientation and commercial accountability

• Track record of building programmatic motions that generate scale across a large customer base , not one-off account customizations

• Real perspective on what drives knowledge workers to build habits around new tools, backed by experience

Salary: The annual compensation range for this role is $315,000-$350,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the product management role

• Minimum years of experience: 8+ years

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time

• Visa sponsorship: We do sponsor visas!

XML job scraping automation by YubHub

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Vietnamese with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Thai with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Italian with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Tagalog with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Indonesian with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities: Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications: Native proficiency in Hindi with exposure to diverse accents, dialects, or regional variations. Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience: Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. Deep understanding and taste of what good/useful Audio data is. Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Hebrew with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Portuguese with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

\nYour work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

\nResponsibilities:

Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

Native proficiency in French with exposure to diverse accents, dialects, or regional variations.

Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

Deep understanding and taste of what good/useful Audio data is.

Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

We are unable to provide visa sponsorship.

For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Finnish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Dutch with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Key Responsibilities:

• Define and lead the supplier development strategy across key commodities, driving systemic improvements in cost, lead time, quality, and scalability.

• Establish and institutionalize supplier process audit frameworks and continuous improvement roadmaps aligned to company growth objectives.

• Partner with executive leadership to prioritize supplier investments, consolidations, and capability expansion.

• Own the supplier quality strategy, including audit standards, escalation frameworks, and corrective action governance.

• Lead root cause investigations for systemic supplier performance issues and ensure cross-functional resolution.

• Develop standardized quality and performance review mechanisms (QBRs, scorecards, KPI dashboards).

• Assess supplier technical maturity, manufacturing readiness, and operational scalability.

• Drive supplier capability upgrades in partnership with Engineering and Operations to meet future product and rate requirements.

• Lead make vs. buy strategy alignment for new and existing programs.

• Establish technical standards and expectations for supplier manufacturing processes, drawing interpretation, GD&T adherence, and quality controls.

• Ensure supplier alignment with evolving product designs, material specifications, and manufacturing complexity (composites, injection molding, mechanical hardware).

• Influence early design decisions to ensure manufacturability and supply chain scalability.

• Build and oversee supplier performance monitoring systems covering delivery, quality, cost, and risk indicators.

• Proactively identify supply chain risks (capacity, geopolitical, technical, financial) and implement mitigation strategies at the portfolio level.

• Lead executive-level supplier escalations and recovery plans when required.

• Own supplier readiness strategy for NPI programs, ensuring manufacturability, quality validation (FAI/PPAP), and capacity planning are completed prior to production ramp.

• Partner with Engineering to align release timelines with supplier capability and risk mitigation plans.

Required Qualifications:

• 10+ years of experience in mechanical hardware manufacturing, manufacturing engineering, or supplier development leadership roles.
• Demonstrated leadership of supplier development or manufacturing teams.
• Strong expertise in composite manufacturing, injection molding, and/or precision mechanical fabrication.
• Proven ability to interpret 2D drawings, GD&T, and critical mechanical features at a high level.
• Willingness and ability to travel domestically and internationally (~50%+ as required).

Preferred Qualifications:

• Proficiency in CAD tools (SolidWorks, CATIA) with ability to engage technically in DFM discussions.
• M.S. in Mechanical Engineering, Aerospace Engineering, or equivalent technical discipline.
• Deep experience in root cause analysis, failure investigation, and structured corrective action frameworks.
• Demonstrated success leading cross-functional initiatives across Engineering, Supply Chain, Production, and Quality.
• Experience building and scaling supplier networks in aerospace or high-growth hardware environments.

Salary: $183,600 - $250,000 a year

XML job scraping automation by YubHub

Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioural change. We are on a mission to inspire and engage people in lifelong health, one step at a time.

Great software is the key to providing effective care at scale. We hire passionate, creative people and give them the autonomy to do great work. Our software engineers are comfortable dealing with high-level specifications, working independently and in small teams, and are heavy contributors in the product process from idea to production.

You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognise that there are often many right answers. You are excited about the challenge of learning new technologies and context. You are enthusiastic about providing the best possible care for our members.

What you’ll be doing:

• Build and integrate a combination of home-grown and purchased tools to optimise our contracting, eligibility and billing processes. You will have a direct impact on business outcomes through the improvement of existing or implementation of new solutions in close partnership with product and business stakeholders.
• Be an informal leader to the team by continuously identifying ways to improve, mentoring others, and removing ambiguity.
• Leverage AI and ML tooling to deliver innovative solutions to complex problems.
• Collaborate and influence others to shape future direction, based on your years of previous experience and technology research.
• Lead large projects, anticipating infrastructure and architectural needs before they arise.
• Research, adopt and advocate for new technologies.

What you need for this role:

• 7+ years of experience writing readable, tested, and efficient code
• Familiarity with LLMs and GenAI best practices (for writing code and app features)
• Experience with a modern front-end framework (React, Vue)
• Experience with a modern back-end web framework (Rails, Python)
• Experience with a relational database (PostgreSQL, MySQL)
• Solid debugging and optimisation skills
• Experience with APIs supporting mobile applications delivering rich user experiences
• Expertise with SDLC processes and frameworks
• Interest in learning new tools, languages, workflows, and philosophies to grow
• Curiosity and care more about solving problems than being right
• Excellent communication and collaboration skills (verbal and written)

Technologies we use:

• AWS
• Ruby
• Rails
• Postgres
• Kafka
• Docker
• Kubernetes
• Amplitude
• Marketo
• Salesforce

Benefits:

• Competitive salary with generous annual cash bonus
• Stock options
• Remote first work from home culture
• Flexible vacation to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

• Cultivate Trust.
• Seek Context.
• Act Boldly.
• Deliver Results.
• Succeed Together.
• Remember Why We’re Here.

About Omada Health:

Omada Health is a between-visit healthcare provider that addresses lifestyle and behaviour change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale.

With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada’s approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms.

For more information, visit: https://www.omadahealth.com/

Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

Below is a summary of salary ranges for this role in the following geographies:

• California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,300*
• Colorado Base Compensation Ranges: $171,600 - $214,500*
• Other states may vary.

This role is also eligible for participation in annual cash bonus and equity grants.

*The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.

Please click here for more information on our Candidate Privacy Notice.

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with a diverse workforceREADME

Embedded directly in a product team as search, chat, documents, or audio, you'll improve AI-powered features through rigorous evaluation, prompt and orchestration design, and rapid experimentation. You'll own your domain's AI quality end-to-end: define what "good" looks like, measure it, run experiments, and ship what works.

Responsibilities

• Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance.

• Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost.

• Own prompt and orchestration design: write, test, and iterate on prompts and system prompts as a core part of your work.

• Run A/B tests on prompts, models, and configurations; analyze results; make rollout or rollback decisions from data.

• Set up observability for LLM calls: structured logging, tracing, dashboards, alerts.

• Operate model releases: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection.

• Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality.

• Create templates and documentation so other teams can author evals and ship safely.

• Partner with Science to diagnose regressions and lead post-mortems.

About you

• 3-4 years of experience; backgrounds that fit well include ML engineers moving closer to product, or software engineers with real AI/ML production experience.

• Strong TypeScript or Python skills - we have both tracks depending on team fit.

• Production LLM experience: prompts, tool/function calling, system prompts.

• Hands-on with evals and A/B testing; you can design metrics, not just run them.

• Comfortable implementing directly in product code, not only notebooks.

• Observability experience: logging, tracing, dashboards, alerting.

• Product mindset: form hypotheses, run experiments, interpret results, ship.

• Clear communication, autonomous, and oriented toward production impact over experimentation for its own sake.

It would be ideal if you also have:

• Safety systems experience: moderation, PII handling/redaction, guardrails.

• Release operations: canary/shadowing, automated rollbacks, experiment platforms.

• Prior work on search ranking, chat systems, document AI, or audio ML features.

Hiring Process

• Introduction call - 30 min

• Hiring Manager interview - 30 min

• Technical Rounds - Live-coding Interview - 45 min - AI Engineering Interview - 45 min

• Culture-fit discussion - 30 min

• References

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LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

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Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

• We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

• We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

• We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

Cyngn is building a cloud platform that helps customers monitor, manage, and optimize fleets of autonomous industrial vehicles in real time. As a Full Stack Engineer (Mid–Senior), you’ll ship features end-to-end,from Python backend services to TypeScript/JavaScript frontends,on a small, high-impact team.

Responsibilities

• Build customer-facing web experiences: fleet dashboards, live views/maps, alerts, admin tools, and reporting using TypeScript/JavaScript.

• Build and evolve backend services in Python that power fleet operations, integrations, data ingestion, and analytics.

• Design and implement reliable APIs (REST and/or gRPC) that are well-documented and easy to integrate with customer systems.

• Deliver real-time features (live vehicle state, events, notifications, operator workflows) using WebSockets and event-driven patterns.

• Support “physical AI” workflows by connecting cloud software to autonomy/robotics systems,telemetry pipelines, command-and-control surfaces, and operational tooling that interacts with vehicles in the real world.

• Use modern AI tools and agents to move faster and raise quality (and help build customer-facing copilot experiences where it makes sense).

• Contribute to digital-twin simulation + validation loops (where applicable): support workflows that use simulation to test behaviors, validate releases, and reproduce field issues.

• Raise engineering quality through testing, code reviews, observability, and pragmatic reliability/performance improvements.

• Own meaningful chunks of the product: shape solutions, make tradeoffs, and drive work to completion.

Qualifications

• 2–4+ years of professional software engineering experience.

• Strong production experience with:

  • Python (backend services, APIs, data workflows)

  • TypeScript or JavaScript (frontend)

  • You’ve shipped and supported user-facing web applications (not just internal tools).

  • You’re comfortable building APIs and working with databases (SQL preferred; NoSQL is a plus).

  • You communicate clearly, take ownership, and bring a low-ego, collaborative approach.

  • You care about software that’s reliable in production, not just “works locally.”

Bonus Qualifications

• Real-time systems experience: WebSockets, SSE, streaming updates, pub/sub.

• Event-driven systems / messaging: Kafka, RabbitMQ, Pulsar, etc.

• Experience with telemetry-heavy or operational products: IoT, robotics, autonomy, fleet/dispatch, industrial software.

• Experience building analytics features: reporting, aggregations, operational metrics, customer-facing insights.

• Familiarity with scaling patterns: caching, background jobs, rate limiting, performance tuning.

• Strong habits using AI coding assistants/agents responsibly (verification, testing, high-signal reviews).

• Exposure to physical AI simulation tooling (e.g., NVIDIA Omniverse / Isaac Sim) or similar environments.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Remote or hybrid work opportunities

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees

• Monthly meal and tech allowances for remote employees

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As a key member of our team, you will work with Cresta product and engineering teams to build and continuously improve the Cresta platform and new product requirements. You will stay closely with customers and their requirements, analyze the technical tradeoffs, and own the customer-facing deliverables.

You will demonstrate engineering best practices in deliverables and daily work, upholding others to the same high standards. You will take technical ownership in a substantial part of the Cresta authentication stack and contribute to building the best-in-class company in addition to building the best-in-class product.

Your responsibilities will include full-stack support for Cresta's 1st-party and 3rd-party authentication systems (frontend and backend), expanding Cresta's BYOID (Bring Your Own Identity) repertoire, securing sign-in (password authentication, multi-factor authentication, etc), and application access.

You will also build customized, streamlined, and frictionless customer-specific auto-login systems, improving and migrating from legacy authentication systems to more modern industry-based, standardized, and secure systems.

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs, paid parental leave to support you and your family, monthly Health & Wellness allowance, work from home office stipend to help you succeed in a remote environment, lunch reimbursement for in-office employees, and PTO: 3 weeks in Canada.

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We believe in a world where homes are owned by regular people, not corporations. Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom.

The Role

This is a builder role with direct P&L impact. You will own and scale the homeowner supply growth engine (across acquisition, onboarding, activation, and retention). You’ll be the GM of your own system, driving strategy and execution for a full-stack, AI-first funnel. You’ll ship fast, measure everything, and bring a growth obsession that matches our ambition.

Responsibilities

• Build an AI-native homeowner acquisition funnel. • Personalized onboarding experiences that adapt dynamically based on user attributes, preferences, and model predictions. • Automated pricing, trust-building, and documentation flows that reduce friction and compress time-to-value. • Predictive scoring and routing systems to prioritize the right leads, with the right incentives, at the right moment. • Internal AI copilots that handle verification, follow-up, and workflow automation, freeing humans to do only what humans must. • A scalable measurement framework across the funnel, with source attribution and model-driven forecasting.

Your Mandate

• Own strategy and execution for Belong’s homeowner funnel, from first click to full activation. • Identify bottlenecks and explode them with product. • Partner with leaders to deeply link paid acquisition with in-product performance, and ensure sales and operations can deliver on the promise of Belong. • Define success metrics, instrument everything, and build dashboards that replace guesswork with precision. • Write crisp PRDs, wireframe smart workflows, and ship frequently. • Operate as both a strategic thinker and a tactical executor, you will lead and build.

What You Bring

• 2+ years of experience in product management with ownership over growth funnels, ideally in a B2C or marketplace company. • You’ve driven CAC down, LTV up, and activation time down with product, not just marketing. • You’ve shipped AI-powered product features and understand LLMs, embeddings, and prompt engineering. • You’ve built experiments with rigor and made hard calls with imperfect data. • You understand user psychology and can design onboarding flows that convert skeptics into champions. • You communicate clearly, lead cross-functional pods, and get things shipped. • You play to win.

What Success Looks Like In Year 1

• Homeowner acquisition costs are down, speed to activation is up, and conversion is accelerating. • AI is integrated across the funnel, delivering measurable improvements in cost, quality, and experience. • Experimentation velocity is high, insights are trustworthy, and every major decision has a clear metric trail. • The growth engine is humming, and you’re in the driver’s seat.

Qualifications

• 2+ years of product management experience, preferably in consumer marketplaces or high-growth startups • Demonstrated success driving growth initiatives in customer acquisition and retention • Experience working across the AARRR funnel (Acquisition, Activation, Retention, Referral, Revenue) • Strong understanding of UX principles and ability to turn concepts into high-fidelity wireframes and designs. • Proven ability to lead cross-functional teams in a fast-moving, ambiguous environment • Excellent communication, collaboration, and stakeholder management skills • Familiarity with experimentation frameworks and statistical methods • Experience integrating or working with AI technologies to enhance product capabilities • Entrepreneurial mindset with a bias for action and a focus on delivering value quickly • And you're pithy.

Additional Information

Who You Are

You don’t want to maintain someone else’s system, you want to build your own. You’re competitive. You run toward outcomes, not away from problems. You are customer-obsessed but ruthless about the business. You think in feedback loops. You crave autonomy and accountability. You’ve been underestimated before, and you’re not done proving people wrong.

You want to build a lasting product, and you know growth is where the game is won or lost.

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We currently have 614 open roles

Job Summary

You are a passionate and driven professional with a profound mastery of hardware-assisted verification (HAV), using emulation and FPGA prototyping methodologies, with a sharp focus on performance optimization. Your expertise covers the entire lifecycle of HW/SW product development, from early RTL verification to software bring up and platform delivery.

Responsibilities

• Drive advanced product capabilities and innovations in emulation runtime performance for industry-leading platforms.
• Engage in the full product lifecycle, from feature definition and implementation to rigorous testing, quality measurement, and customer deployment.
• Collaborate closely with internal stakeholders, including Application Engineering peers and R&D teams, to deliver superior outcomes for customers.
• Provide technical leadership and product evaluation support to key emulation customers across the globe.
• Lead comprehensive root cause analyses to resolve and prevent emulation performance bottlenecks.
• Ensure the highest standards of verification for SoC designs, contributing to the creation of robust and reliable products.

What You’ll Need

• Minimum 12+ years of experience in emulation methodology, spanning early RTL verification to software bring up.
• Proven expertise in verification, with a focus on System on Chip (SoC) design bring-up and validation.
• Comprehensive knowledge of the architecture of emulation / FPGA prototyping platforms and their eco-systems.
• A good understanding of the compilation and runtime flows on these emulation platforms.
• Demonstrated experience in using debug features of these emulation platforms, and in conducting root cause analysis for emulation runtime performance issues.

Benefits

• Competitive salary and benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

Who You Are

• A collaborative team player who thrives in dynamic, fast-paced environments.
• Detail-oriented and analytical, with exceptional problem-solving skills.
• Curious, adaptable, and eager to embrace new challenges and responsibilities.
• An effective communicator, skilled at conveying complex technical information to diverse audiences.
• An innovative thinker with a passion for continuous improvement and learning.

The Team You’ll Be A Part Of

You’ll join the Product Engineering (PE) team within the TPG division at Synopsys Bangalore office. This team is at the forefront of delivering and deploying next-generation performance technologies in ZeBu platforms to customers worldwide. As a pivotal member, you will engage in technically challenging projects with significant responsibilities and visibility, all while enjoying a supportive environment that fosters career growth, innovation, and professional development.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Role Summary

Embedded directly in a product team as search, chat, documents, or audio, you'll improve AI-powered features through rigorous evaluation, prompt and orchestration design, and rapid experimentation. You'll own your domain's AI quality end-to-end: define what 'good' looks like, measure it, run experiments, and ship what works.

Responsibilities

• Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance.
• Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost.
• Own prompt and orchestration design: write, test, and iterate on prompts and system prompts as a core part of your work.
• Run A/B tests on prompts, models, and configurations; analyze results; make rollout or rollback decisions from data.
• Set up observability for LLM calls: structured logging, tracing, dashboards, alerts.
• Operate model releases: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection.
• Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality.
• Create templates and documentation so other teams can author evals and ship safely.
• Partner with Science to diagnose regressions and lead post-mortems.

About You

• 3-4 years of experience; backgrounds that fit well include ML engineers moving closer to product, or software engineers with real AI/ML production experience.
• Strong TypeScript or Python skills - we have both tracks depending on team fit.
• Production LLM experience: prompts, tool/function calling, system prompts.
• Hands-on with evals and A/B testing; you can design metrics, not just run them.
• Comfortable implementing directly in product code, not only notebooks.
• Observability experience: logging, tracing, dashboards, alerting.
• Product mindset: form hypotheses, run experiments, interpret results, ship.
• Clear communication, autonomous, and oriented toward production impact over experimentation for its own sake.

Benefits

• Competitive salary and equity package
• Health insurance
• Transportation allowance
• Sport allowance
• Meal vouchers
• Private pension plan
• Generous parental leave policy

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You will work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, and operations in a dynamic and high-energy work environment to bring industry-defining products to market.

Your responsibilities will include:

• Collaborating with cross-functional teams to craft essential next-generation product features that are important for performance, power optimization, and power management.
• Collaborating to craft tools for post-silicon work, build post-silicon methodologies to characterize silicon power, correlate silicon behavior with simulation.
• Working with various Arch & Design teams to come up with test plans of new features.
• Collaborating with other validation & bring-up teams to bring up/characterize silicon power and power saving features.
• Working with design & estimation teams to correlate with pre-silicon expectation, work with HW and SW teams to do the vital tuning and optimization of silicon power.
• Developing power consumption models to be used in binning, productization, and customer application notes, characterize and develop various power control mechanisms together with Arch/Design/SW teams.

We need to see:

• B. Tech or M. Tech in Electronics Engineering stream, with 3+ years related work experience, excellent problem-solving, collaborative, and interpersonal skills.
• Strong understanding of aspects related to silicon power and performance, technology node impacts, Hardware and Software interactions at system level.
• Hands-on experience with silicon bring up, validation, and productization, good knowledge in board and system design considerations, Power supply design.
• Very good problem-solving and hardware debugging skills, very good data analysis and logical reasoning skills.
• Strong familiarity with HW lab environment and understanding of various lab equipment.
• Experience in working with windows. Linux exposure is highly preferred.
• Working experience with scripting languages like perl and/or python is a plus point.
• Must be a great teammate and ready to collaborate with global teams from diverse cultural backgrounds in a high-energy environment.
• Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability, and aging mechanisms.
• Background with power supply and substrate noise analysis and mitigation. Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.

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Future is looking for a Java Software Engineer to join our development team in Grenoble. You will be working on the backbone of our systems, centered on Java/Spring, while strategically integrating modern tools like Docker/Kubernetes, developing with cutting-edge LLM-powered features, and collaborating with frontend technologies (Angular/React).

Your focus will be on architecting and delivering next-generation, high-performance web applications. You will have the unique opportunity to lead development on exciting green-field projects and drive the enhancement of critical existing systems, contributing across the full spectrum—from backend to infrastructure.

Experience that will put you ahead of the curve

• Good English level - Be able to participate to meetings in English
• 3 or more years of experience building Java applications
• Ability to work with a JS framework (e.g. React/AngularJS)
• Good understanding of Git or an equivalent version control system
• Experience with Gitlab CI/CD and DevOps tools and practices, Docker and Kubernetes awareness is a plus
• Ability to communicate technical information to non-technical people as needed
• Retrieving and marshaling data from a variety of sources (databases, external APIs)
• Ability to learn and adapt to new technologies quickly
• Team player with an active interest in collective ownership, ideally bringing prior experience from an Agile environment.

What's in it for you

The expected range for this role is EUR45,000 - EUR55,000. This is a Hybrid role from our Grenoble Office and home. You will also enjoy a share of our profits with a bonus, refer a friend and get rewarded when they join Future, and access to Private Medical Insurance.

Who are we...

We're Future, a global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

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What you'll be doing

Your focus will be on the backbone of our systems, centered on Java/Spring, while strategically integrating modern tools like Docker/Kubernetes, developing with cutting-edge LLM-powered features, and collaborating with frontend technologies (Angular/React). You'll work within a continuous integration environment, utilizing Gitlab CI/CD for seamless and efficient delivery.

Experience that will put you ahead of the curve

• You have 5 or more years of experience building Java applications
• The ability to work with a JS framework (e.g. React/AngularJS)
• Experience with Git or an equivalent version control system
• You have experience with Gitlab CI/CD and DevOps tools and practices, Docker and Kubernetes awareness
• Experience communicating updates and resolutions to customers and other partners technical information to non-technical people
• Retrieve and marshal data from a variety of sources (databases, external APIs)
• Stay informed about relevant technology trends and developments
• You are a team player with an active interest in collective ownership, bringing prior experience from an Agile environment.

What's in it for you

This is a France, Remote-based role with great perks, including a share of our profits with a bonus, referral rewards, and access to Private Medical Insurance.

Who are we…

We're a team of passionate people working across 200+ media brands, committed to delivering trusted, expert content that educates and inspires action.

Our Future, Our Responsibility - Inclusion and Diversity at Future

We celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. We're building a workplace where everyone feels valued, respected, and empowered to thrive.

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Key Responsibilities:

• Overall administration and management of growing hybrid and pure cloud solutions
• Plan, deploy & support Azure Windows Desktop Services (WDS) implementations
• Mobile Device Management - InTune policy management
• Azure migration from On-Prem/Cloud to Azure Platform, Microsoft SQL
• Build, deploy and support technologies for an Azure platform
• Automation of Azure infrastructure
• Support Azure Architecture (IaaS & PaaS)
• In depth experience of ARM and PowerShell Scripting using a GIT repository
• Azure tenancy and subscription management
• Creation of auto-remediate scripting for cloud resources
• Demonstrate optimization techniques and strategy
• Creation of YAML pipelines with Azure DevOps
• Creation and enforcement of security policies to CIS standards
• Assist regional teams in creating practical demonstrations of proposed solutions and demonstrating them to other members of the team
• Provide detailed specifications for proposed solutions including materials, mockups and time necessary
• Mentor and train other engineers throughout the company and seek to continually improve processes companywide
• Work alongside project management teams to successfully monitor progress and complete implementation

Requirements:

• 5+ years experience in a similar role
• Cloud Engineer, IT Administrator, Systems Engineer
• Scripting (PowerShell, Azure CLI)
• A strong understanding of the Azure & Office 365 ecosystem
• Hands on experience of ARM Templates / JSON
• Azure data protection and security architecture/features
• Azure Administrator certification (e.g. AZ-104, AZ-400; AZ-303; AZ-304) is required
• Disaster Recovery / High Availability technologies
• Azure DevOps
• Azure Active Directory
• Azure server-less architecture
• Experience managing: Amazon AWS, Azure, Google Cloud an advantage

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The role will primarily be based in our Midlands office with some travel to customers' locations and other worldwide AVL locations.

Responsibilities:

• Work with other team members and customers' engineers to deliver ADAS & AD projects according to plan
• Develop test plans and test cases for ADAS features, ensuring appropriate requirements coverage and traceability back to use cases
• Plan, conduct, and evaluate vehicle and systems tests in virtual environments, on test tracks, and public roads
• Develop calibration for ADAS features and functions
• Identify and develop use cases for ADAS
• Develop, define, and refine requirements for ADAS features (from feature level down to component level) as well as performance KPIs
• Report and present project activities
• Work with customers to understand and track project milestones and deliverables dates

Requirements:

• Degree in Automotive Engineering, Mechanical Engineering, Electrical & Electronic Engineering or equivalent
• Experience with vehicle integration, tests planning, vehicle and systems testing in virtual environments, on test tracks, and public roads
• Experience with ADAS features calibration, vehicle testing, data collection, and post-processing
• Awareness of systems development lifecycle
• Understanding of vehicle control modules, E/E architecture, and vehicle systems
• Good communication skills in written and verbal English
• Excellent organizational and time management skills
• High motivation and proactive attitude towards learning and new technologies
• Flexibility to travel to suppliers, customers, other AVL offices

Preferred:

• ADAS/AD systems engineering experience
• Knowledge of ADAS regulations and standards (UN-ECE and ISO)
• Knowledge of C++, Python, and/or ROS
• Knowledge of simulation and validation tools (e.g. CarMaker)
• Experience using Vector tools (e.g. CANalyzer, CANape) or equivalent

Benefits:

• EV Lease Scheme (Salary Sacrifice)
• Flexi-time (applies to most roles)
• Private Medical Insurance and Health Cash Plan
• Cycle to Work Scheme
• 25 days holiday per year (increases by 1 day annually up to the max. of 28 days)
• Special occasion leave (eligibility after probation, subject to conditions)
• Pension scheme
• Life Assurance and Income Protection Insurance
• One paid professional membership annually

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About the Team

Consumer Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

About the Role

Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity—keeping Copilot moving fast while raising the security and reliability bar.

Responsibilities

Identity strategy & architecture: Define the end‑to‑end identity vision for consumer Copilot and MAI, covering user/account models, sign‑in, session management, token issuance/validation, service‑to‑service auth, and cross‑device experiences.

Cross‑surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities.

Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security.

Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives.

Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI.

Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis

Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale.

Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services.

Hands‑on engineering: Ship secure, well‑tested, maintainable code and frameworks that other teams can adopt quickly.

Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot.

Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones.

Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Qualifications

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

<_Preferred Qualifications:_>

Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience integrating with Microsoft Account, and familiarity with consumer identity features.

Cross‑platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web).

Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls.

Privacy/Compliance: Experience embedding privacy‑by‑design and meeting consumer compliance expectations for Copilot-class workloads.

Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

Salary

#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Responsibilities:

Define and drive the product roadmap for Copilot on Mac, aligning with Microsoft AI (MAI) vision and cross-surface priorities.

Deliver full feature parity with other Copilot surfaces while elevating native Mac experiences and OS-level integration.

Identify and prioritize user pain points through data, research, and experimentation to improve engagement, retention, and monetization.

Partner closely with Engineering, Design, Data, Growth, and cross-functional AI platform teams to ship high-quality features at speed.

Lead end-to-end product execution: write clear PRDs, define success metrics, manage trade-offs, and ensure timely delivery.

Drive experimentation (A/B testing, flighting) and leverage insights to continuously optimize user journeys.

Champion macOS-native innovation, including deep OS integrations and differentiated AI experiences.

Build scalable processes to enable cross-squad collaboration and position Copilot Mac as a first-class platform.

Qualifications:

Bachelor’s Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.

5+ years of product management experience, preferably in consumer software, AI-powered products, or platform ecosystems.

Proven track record of shipping complex, cross-functional features from concept to launch.

Solid understanding of AI-powered product experiences and their application in real-world user workflows.

Experience working closely with engineering teams and understanding technical architecture, APIs, and system constraints.

Data-driven mindset with experience defining KPIs and running experiments.

Excellent communication skills with the ability to influence stakeholders across disciplines.

Strong user empathy and product intuition, with attention to UX quality and detail.

Ability to thrive in a fast-paced, ambiguous environment and drive clarity across teams.

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About the Team

Consumer Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

About the Role

Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity—keeping Copilot moving fast while raising the security and reliability bar.

Responsibilities

Identity strategy & architecture: Define the end‑to‑end identity vision for consumer Copilot and MAI, covering user/account models, sign‑in, session management, token issuance/validation, service‑to‑service auth, and cross‑device experiences.

Cross‑surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities.

Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security.

Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives.

Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI.

Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis

Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale.

Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services.

Hands‑on engineering: Ship secure, well‑tested, maintainable code and frameworks that other teams can adopt quickly.

Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot.

Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones.

Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Qualifications

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience integrating with Microsoft Account, and familiarity with consumer identity features.

Cross‑platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web).

Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls.

Privacy/Compliance: Experience embedding privacy‑by‑design and meeting consumer compliance expectations for Copilot-class workloads.

Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

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About the Team

Consumer Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

About the Role

Copilot for consumers depends on a rock-solid identity foundation that makes personalized AI experiences safe and seamless across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to define and lead the strategy for authentication, authorization, and account systems across Copilot experiences, partnering deeply with Microsoft’s central identity platform and related teams. You’ll tackle novel risks at the frontier of agential AI, applying proven solutions and inventing new ones where needed. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity—keeping Copilot moving fast while raising the security and reliability bar.

Responsibilities

Identity strategy & architecture: Define the end‑to‑end identity vision for consumer Copilot and MAI, covering user/account models, sign‑in, session management, token issuance/validation, service‑to‑service auth, and cross‑device experiences.

Cross‑surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android; ensure seamless UX and consistent security controls across consumer surfaces and modalities.

Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security.

Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives.

Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI.

Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis

Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale.

Define and document authentication patterns and requirements for AI-powered, agential flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services.

Hands‑on engineering: Ship secure, well‑tested, maintainable code and frameworks that other teams can adopt quickly.

Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot.

Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones.

Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Qualifications

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience integrating with Microsoft Account, and familiarity with consumer identity features.

Cross‑platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web).

Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls.

Privacy/Compliance: Experience embedding privacy‑by‑design and meeting consumer compliance expectations for Copilot-class workloads.

Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

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As a Principal Product Manager (PM) for the Agentic AI team, you’ll architect solutions that reason, plan, and act across applications, the web, and the OS, empowering users to accomplish complex tasks with intelligence and reliability.

You’ll join a high-impact team dedicated to translating breakthrough model research into transformative products for Copilot, Bing, Edge, M365, and Azure.

The Agentic Experiences team thrives on rapid innovation, cross-functional collaboration, and a culture that values curiosity, autonomy, and bold problem-solving.

We seek PMs who have shipped 0-to-1 agentic products at leading AI startups or labs, driven growth or mindshare in the AI space, and excel in fast-paced, ambiguous environments.

If you’re energized by building the future of generative AI experiences and want to shape how intelligent agents empower millions, we want to hear from you.

Responsibilities

Identify user workflows where AI adds clear value, basing decisions on data and user feedback.

Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics.

Work directly with research, engineering, and design to turn AI research into practical products that scale and serve users well.

Create and use evaluation methods to track product quality, user experience, and safety throughout development.

Set up data processes for sourcing, labeling, and using data to boost model and product performance.

Work with infrastructure and platform teams to balance capability, speed, cost, and reliability for scalable products.

Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions.

Promote adoption by showing how technical features translate into user benefits and growth.

Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem review

Qualifications

Required Qualifications

Bachelor’s Degree AND 8+ years’ experience in product management or software development OR equivalent experience.

Preferred Qualifications

5+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.

3+ years of experience building products that leverage AI/ML technologies.

Experience managing and shipping 0-to-1 agentic products in an AI lab or an AI-focused startup.

Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.

Familiarity with experimentation tools, data analytics, and working knowledge of SQL or coding (Python, JavaScript).

Effective collaboration and communication skills with a bias for action and inclusion.

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Responsibilities:

• Win new business and drive revenue for Anthropic within the Insurance sector. Navigate complex institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close

• Design and execute innovative sales strategies tailored to Insurance procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns

• Spearhead market expansion by identifying new use cases within Insurance departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for Insurance applications

• Navigate complex stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus

• Inform product roadmaps and features by gathering feedback from users and conveying Insurance market needs. Provide insights that strengthen our value proposition for Insurance

• Continuously refine the Insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 5+ years of B2B sales experience in Insurance technology, preferably in SaaS or emerging technologies

• A track record of managing complex sales cycles within Insurance organizations and securing strategic deals by understanding both technical requirements and use cases

• Demonstrated ability to navigate Insurance bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments

• Extensive experience negotiating complex agreements within Insurance procurement frameworks and policies

• Proven experience exceeding revenue targets in the Insurance sector by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various audiences within Insurance

• Deep understanding of Insurance buying cycles, decision-making processes, and key pain points

• A strategic, analytical approach to assessing the Insurance market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications in Insurance. You feel strongly about ensuring frontier AI systems are developed safely and ethically

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$290,000 - $435,000USD

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The ideal candidate will have a passion for developing new market segments within pharmaceutical, biotechnology, and research organisations, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help life sciences enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the life sciences industry, focusing on pharmaceutical companies, biotechnology firms, and research organisations.
• Design and execute innovative sales strategies tailored to life sciences procurement cycles, R&D budgeting processes, and regulatory considerations to meet and exceed revenue quotas.
• Spearhead market expansion by identifying new use cases within research departments, clinical development teams, regulatory affairs, medical affairs, and commercial organisations.
• Inform product roadmaps and features by gathering feedback from life sciences users including researchers, scientists, regulatory professionals, and commercial leaders, conveying market needs.
• Continuously refine the life sciences sales methodology by incorporating learnings into playbooks, templates, and best practices.

You may be a good fit if you have:

• 5+ years of enterprise sales experience in life sciences, with demonstrated success covering pharmaceutical companies, biotechnology firms, and/or research organisations.
• A track record of managing complex sales cycles within life sciences organisations and securing strategic deals by understanding both technical requirements and scientific/regulatory use cases.
• Extensive experience negotiating complex agreements within life sciences procurement frameworks, including understanding of R&D budget cycles and compliance requirements.
• Proven experience exceeding revenue targets in the life sciences sector by effectively managing an evolving pipeline and sales process.
• Excellent communication skills and the ability to present confidently to various life sciences audiences, from researchers and scientists to R&D leadership and C-suite executives.
• Deep understanding of life sciences buying cycles, decision-making processes, and key pain points across pharmaceutical, biotech, and research organisations.
• A strategic, analytical approach to assessing the life sciences market combined with creative, tactical execution to capture opportunities.
• A passion for and/or experience with advanced AI systems and their applications in life sciences. You feel strongly about ensuring frontier AI systems are developed safely and ethically for scientific and clinical applications.
• Ability to develop and refine life sciences use cases for AI in collaboration with customers and channel partners, with particular focus on drug discovery, clinical development, regulatory submissions, and commercial operations.

Annual compensation range for this role is $290,000 - $435,000 USD.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Foster City, CA (Hybrid) In office M,W,F

Employment Type

Full time

Location Type

Hybrid

Department

Early Career

Compensation

• Compensation is determined based on career level, with the base salary for this role ranging from $140K – $180K • Offers Equity • Offers Bonus • Performance Based Bonus

As a New Grad Software Engineer, you'll join a team of exceptional builders working on products that are reshaping how the world creates software. You'll have the opportunity to work on everything from our AI-powered development platform to the distributed systems that enable real-time collaboration for millions of developers.

This is a chance to define your career while defining the future of software development. You'll work on problems that matter, with the autonomy to drive solutions and the support to grow into a technical leader.

What you will build:

• Product features that delight users and make it possible for anybody to create software
• AI coding agent that understands intent and generates production-ready applications
• Cloud infrastructure that provides instant, powerful development environments at global scale
• Platform features that enable one click deployments and scale to millions of users

Required skills and experience:

• Recent graduate (2024-2026) with a degree in Computer Science, Computer Engineering, or related field
• Strong programming skills in a modern language (JavaScript/TypeScript, Python, Go, Rust)
• Full-stack capabilities with experience in React, Node.js, and database technologies
• Growth orientation - eager to learn new technologies and take on increasing responsibility
• Collaborative spirit - you work well in cross-functional teams and value diverse perspectives

What we value:

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Compensation Range: $140K - $180K

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $234K – $260K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI.

About the Role

We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.

As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.

The nature of this role will be low volume, high difficulty.

This role is based in San Francisco, CA. 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:

• Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team.

• Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era.

• Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time.

• In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes.

• Design and refine incident response processes and documentation across strategic customers, engineering and support teams.

• Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows.

• Provide support coverage during holidays and weekends based on business needs.

You might thrive in this role if you:

• Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success.

• Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level.

• Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation).

• Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and communication with stakeholders.

• Are able to work effectively in a fast-paced environment, prioritize tasks, and manage multiple projects simultaneously.

• Are a strong communicator and team player, with excellent written and verbal communication skills.

• Are able to adapt to changing priorities and requirements, and are flexible in your approach to problem-solving.

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Product Marketing Manager, Platform

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Marketing

Compensation

• $227K – $415K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

About the Team

Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Research, Comms, and Design teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.

About the Role

We’re looking for a senior, builder-minded Product Marketing leader to help establish and define OpenAI’s platform business. OpenAI’s B2B strategy is centered on becoming the intelligence layer inside the enterprise — embedded across workflows, systems, and decision-making. This role sits at the forefront of that effort.

This is a large, open-ended role focused on market creation. This role will help shape an emerging product area and define our go-to-market approach. You will work in close partnership with Product and Sales to determine how this product is positioned, how it goes to market, how we drive adoption and usage, and how we differentiate in a competitive enterprise landscape. This is an opportunity to build, own, and scale an enterprise GTM strategy end to end.

This role will ideally be based in San Francisco, CA, with a hybrid schedule of three days per week in the office, or Remote West Coast, US, with frequent travel.

In this role you will:

• Help establish a new enterprise market for OpenAI: Define the category, narrative, and value proposition for OpenAI as the intelligence layer inside the enterprise.

• Own end-to-end product marketing for a net-new business: From early product definition through launch, adoption, usage, and expansion.

• Partner deeply with Product to shape strategy and roadmap: Translate customer needs, market insight, and competitive context into clear product and packaging guidance.

• Define GTM strategy in tandem with Sales: Determine target segments, buyer personas, sales motions, and messaging that support early traction and long-term scale.

• Differentiate OpenAI in a competitive enterprise landscape: Articulate how OpenAI’s approach compares to and competes with cloud and infrastructure providers.

• Figure out segmentation, adoption, and usage strategy: Identify who we sell to, how customers get started, how they realize value, and how usage grows over time.

• Build the foundation from scratch: Create core narratives, positioning, sales enablement, launch frameworks, and internal alignment for a business that is just getting started.

• Operate as an owner: Take accountability for how this product shows up in the market and how it succeeds commercially.

You might thrive in this role if you:

• Have 15+ years of experience in product marketing, GTM, or related roles in enterprise, B2B, or platform businesses.

• Are excited by white space and ambiguity and want to build something new from the ground up.

• Have experience helping define or launch net-new products, platforms, or categories, ideally alongside sales teams.

• Enjoy working without a fully defined playbook and are motivated by ownership and impact.

• Can translate complex technology into clear, differentiated enterprise value narratives.

• Think holistically about market creation, segmentation, adoption, usage, and competition.

• Are a strong cross-functional partner to Product and Sales.

• Balance strategic thinking with

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Location

San Francisco; New York City

Employment Type

Full time

Department

Research

Compensation

• $230K – $255K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.

About the Role

We’re looking for experienced, problem-solving engineers to build new products and scale our systems. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable.

You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind.

As we explore new frontiers in video-enabled AI and other modalities, you will help define our product strategy and build the foundations for these initiatives. We value engineers who take initiative, demonstrate strong product instincts, and maintain a user-centric focus in their work.

In this role, you will:

• Collaborate with cross-functional teams to design, build, and iterate on innovative video product features.

• Translate user needs and research insights into scalable product solutions.

• Work with researchers to integrate advanced video capabilities into our core offerings.

• Shape the technical roadmap and product strategy for our video initiatives.

You might thrive in this role if you:

• Have 6+ years of industry experience in product engineering, with a proven record of shipping impactful, user-focused products.

• Excel in environments with ambiguity and rapid change, turning complex requirements into practical, elegant solutions.

• Possess a proactive mindset with the ability to quickly learn new technologies and share your insights with your team.

• Bonus: Have experience building or supporting video infrastructure, which will be valuable as our product scales.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

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Research Engineer, Privacy

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Security

Compensation

• $380K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.

We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.

About the Role

As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks.

This position is located in San Francisco. Relocation assistance is available.

In this role, you will:

• Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale.

• Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees.

• Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams.

• Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions.

• Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring.

• Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling.

You might thrive in this role if you:

• Have hands-on research or production experience with PETs.

• Are fluent in modern deep-learning stacks (PyTorch/JAX) and comfortable turning cutting-edge papers into reliable, well-tested code.

• Enjoy stress-testing models—probing them for private data leakage—and can explain complex attack vectors to non-experts with clarity.

• Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real-world systems.

• Thrive in fast-moving, cross-disciplinary environments where you alternate between open-ended research and shipping production features under tight deadlines.

• Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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We are hiring Front End Software Engineers to build best-in-class product experiences across ChatGPT. You'll work on high-impact user flows, UI architecture, and performance—shipping features that make advanced AI feel simple, responsive, and delightful.

Responsibilities

• Build and ship high-quality product experiences across web surfaces.
• Partner with design and product to translate ideas into polished, accessible UI.
• Own frontend architecture decisions—component systems, state management, routing, and client-side performance.
• Improve reliability, observability, and quality through testing, monitoring, and tooling.
• Collaborate closely with backend and data teams to integrate APIs and deliver end-to-end features.
• Contribute to long-term technical direction and participate in design/architecture reviews.

You Might Thrive Here If You:

• Have strong frontend experience with modern web frameworks (e.g., React, TypeScript) and building production UI at scale.
• Care deeply about performance, accessibility, and craft—and you sweat the details without losing speed.
• Enjoy working across the stack and partnering tightly with design and product.
• Are energized by ambiguity and moving quickly while maintaining a high quality bar.

Location

We are open to hiring in San Francisco, New York, and Seattle.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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R&D - Toronto, Ontario (Hybrid)

What we’re doing

We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.

You’ll Thrive Here If…

• You’re energized by ambiguity and move fast to bring clarity where others stall.
• You get a rush from finding the simple, elegant solution to a messy, complex problem.
• You think like a GM//always asking how a product choice impacts revenue, growth, and user success.
• You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.

Some things you’ll do

• User discovery & insights
• Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.
• Talk to users, run surveys, and synthesize feedback into actionable insights.
• Translate customer problems & business goals into clear, prioritized product requirements.
• Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.

• Data-driven decision-making
• Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.
• Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.
• Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.

• Product strategy & execution support
• Surface & scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.
• Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing
• Support launch plans, onboarding flows, rollout processes, and usage monitoring.
• Connect product metrics to conversion, activation, retention, and revenue

Skills You’ll Bring

• Product & business foundation
• 2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)
• 1+ years experience in a fast-paced, analytical role (e.g., chief of staff, bizops, VC/PE, banking, consulting, or growth-focused roles at a high-growth tech company)

• Analytical & strategic
• Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions
• GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market

• Execution & product sense
• Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)
• Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives

• Mindset & communication
• Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments
• Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions
• Excellent communicator who can turn chaos into clarity and align stakeholders

You WILL NOT enjoy this role if

• You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.
• You avoid digging into data or SQL, being data informed is core to this role.
• You prefer long research cycles over shipping quickly and iterating.
• You’re uncomfortable making decisions with incomplete information.
• You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.
• You don’t play video games

Link to This Job

Location

Toronto, Ontario (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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R&D - St. John's, Newfoundland and Labrador (Hybrid)

What we’re doing

We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.

You’ll Thrive Here If…

• You’re energized by ambiguity and move fast to bring clarity where others stall.
• You get a rush from finding the simple, elegant solution to a messy, complex problem.
• You think like a GM//always asking how a product choice impacts revenue, growth, and user success.
• You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.

Some things you’ll do

• User discovery & insights
• Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.
• Talk to users, run surveys, and synthesize feedback into actionable insights.
• Translate customer problems & business goals into clear, prioritized product requirements.
• Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.

• Data-driven decision-making
• Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.
• Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.
• Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.

• Product strategy & execution support
• Surface & scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.
• Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing
• Support launch plans, onboarding flows, rollout processes, and usage monitoring.
• Connect product metrics to conversion, activation, retention, and revenue

Skills You’ll Bring

• Product & business foundation
• 2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)
• 2+ years in investment banking, strategy consulting, or a similar analytical/business role

• Analytical & strategic
• Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions
• GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market

• Execution & product sense
• Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)
• Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives

• Mindset & communication
• Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments
• Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions
• Excellent communicator who can turn chaos into clarity and align stakeholders

You WILL NOT enjoy this role if

• You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.
• You avoid digging into data or SQL, being data informed is core to this role.
• You prefer long research cycles over shipping quickly and iterating.
• You’re uncomfortable making decisions with incomplete information.
• You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.
• You don’t play video games

Link to This Job

Location

St. John’s, Newfoundland and Labrador (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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R&D - Remote

What we’re doing

We’re building the AI powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z, we’re already live in 5 titles with 100K+ users and rapidly expanding into new games, hardware partnerships, and SDK integrations.

The design team plays a significant role at trophi.ai. We shape how players first understand and feel the product, from the very first minute in the game through the loops that bring them back. We turn ambiguity into clear, intuitive experiences, use research and data to guide decisions, and partner closely with product, engineering, and data science to ship quickly. As a senior designer you will set the quality bar, own our systems and patterns, and define the look and feel of an AI powered coach that meets players inside their favorite games and our studio customers.

Things you’ll do

• Lead end-to-end product design from discovery and flows to polished prototypes and user testing.
• Turn ambiguous ideas into cohesive UX that drives core business outcomes around activation, retention and onboarding (First session clarity, engagement loops etc)
• Partner with product and data science to run lightweight usability testing, interpret activation and retention funnels, and use insights to iterate quickly.
• Obsess about impact, first on onboarding, first session clarity, and engagement loops.
• Build and own our design system for speed and consistency across surfaces
• Work with product, engineering, and data science to ship high quality experiences quickly
• Find opportunities to improve onboarding, engagement loops, and aha moments
• Define trophi.ai’s visual identity and interaction patterns as we scale
• Play and test. Use our products inside real games starting with sim racing and Rocket League and validate AI integrated UI
• Build deep customer empathy through research, interviews, and immersing yourself in the problem space

Skills you’ll bring

• Track record of excellence with 4+ years designing consumer products in gaming or B2C SaaS
• Data-informed decision making. You balance qualitative research and quantitative insights to make better design decisions. You know when to test, when to measure, and when to ship.
• Systems thinking. You connect user goals, flows, and business outcomes
• Scrappy Self starter. You are resilient, resourceful (Leverage AI in workflows), and comfortable with ambiguity and fast change
• User obsessed. You balance testing, behavior data, and good judgment
• Clear communicator who can explain trade offs and decisions across teams
• Working knowledge of AI features and how to design user friendly ML applications
• Experience mentoring designers and raising the quality bar across a product team.

You WILL NOT enjoy this role if

• You want pixel-perfect specs before starting; you’ll need to make judgment calls.
• You focus purely on visual polish and avoid thinking deeply about user flows and systems.
• You struggle when requirements are ambiguous; you’ll be expected to create clarity.
• You want a large design team to lean on; this is a high-ownership role where you set the bar. You don’t like being scrappy
• You need step-by-step instructions instead of proposing solutions and trade-offs.

About us

Founded in St. John’s, NL, trophi.ai is building industry-leading technology in eRacing and eSports. Today, we’re focused on AI coaching for gaming (F1 Series, Rocket League, Assetto Corsa, iRacing, etc.), and more, but our ambition is to build AI coaching for all sports, eSports and the real world, and help over a billion people realize their potential. Raised $12M from Tier 1 VCs such as Calm Ventures, and A16z

If you’re looking to work at a disruptive company and fundamentally change the future of sports and performance, welcome to trophi.ai.

Link to This Job

Location

Remote

Department

R&D

Employment Type

Full-Time

Minimum Experience

Mid-level

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R&D - Toronto, Ontario (Hybrid)

What we’re doing

We’re building the AI powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z, we’re already live in 5 titles with 100K+ users and rapidly expanding into new games, hardware partnerships, and SDK integrations.

The design team plays a significant role at trophi.ai. We shape how players first understand and feel the product, from the very first minute in the game through the loops that bring them back. We turn ambiguity into clear, intuitive experiences, use research and data to guide decisions, and partner closely with product, engineering, and data science to ship quickly. As a senior designer you will set the quality bar, own our systems and patterns, and define the look and feel of an AI powered coach that meets players inside their favorite games and our studio customers.

Things you’ll do

• Lead end-to-end product design from discovery and flows to polished prototypes and user testing.
• Turn ambiguous ideas into cohesive UX that drives core business outcomes around activation, retention and onboarding (First session clarity, engagement loops etc)
• Partner with product and data science to run lightweight usability testing, interpret activation and retention funnels, and use insights to iterate quickly.
• Obsess about impact, first on onboarding, first session clarity, and engagement loops.
• Build and own our design system for speed and consistency across surfaces
• Work with product, engineering, and data science to ship high quality experiences quickly
• Find opportunities to improve onboarding, engagement loops, and aha moments
• Define trophi.ai’s visual identity and interaction patterns as we scale
• Play and test. Use our products inside real games starting with sim racing and Rocket League and validate AI integrated UI
• Build deep customer empathy through research, interviews, and immersing yourself in the problem space

Skills you’ll bring

• Track record of excellence with 4+ years designing consumer software products (b2c, b2b2c)
• Data-informed decision making. You balance qualitative research and quantitative insights to make better design decisions. You know when to test, when to measure, and when to ship.
• Systems thinking. You connect user goals, flows, and business outcomes
• Scrappy Self starter. You are resilient, resourceful (Leverage AI in workflows), and comfortable with ambiguity and fast change
• User obsessed. You balance testing, behavior data, and good judgment
• Clear communicator who can explain trade offs and decisions across teams
• Working knowledge of AI features and how to design user friendly ML applications
• Experience mentoring designers and raising the quality bar across a product team.

You WILL NOT enjoy this role if

• You want pixel-perfect specs before starting; you’ll need to make judgment calls.
• You focus purely on visual polish and avoid thinking deeply about user flows and systems.
• You struggle when requirements are ambiguous; you’ll be expected to create clarity.
• You want a large design team to lean on; this is a high-ownership role where you set the bar. You don’t like being scrappy
• You need step-by-step instructions instead of proposing solutions and trade-offs.

About us

Founded in St. John’s, NL, trophi.ai is building industry-leading technology in eRacing and eSports. Today, we’re focused on AI coaching for gaming (F1 Series, Rocket League, Assetto Corsa, iRacing, etc.), and more, but our ambition is to build AI coaching for all sports, eSports and the real world, and help over a billion people realize their potential. Raised $12M from Tier 1 VCs such as Calm Ventures, and A16z

If you’re looking to work at a disruptive company and fundamentally change the future of sports and performance, welcome to trophi.ai.

Hybrid, 2-3 Days in Office

Link to This Job

Location

Toronto, Ontario (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Mid-level

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Microsoft are looking for a talented Senior Product Manager - Web & Mac Experiences (AI/ML) at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI and ML technologies. You'll work directly with leadership to shape the company's direction in the AI and ML markets.

About the Role

As a Senior Product Manager - Web & Mac Experiences (AI/ML), you will be responsible for executing on web/macOS scenarios end-to-end; defining IA, interaction patterns, and component reuse. You will drive performance & reliability KPIs (FMP, input latency, memory) and support experimentation. You will partner with Design on design-system alignment, accessibility (WCAG), internationalization, and responsive behavior. You will coordinate dependencies (identity, payments, content, safety) to deliver cohesive multi-surface journeys. You will report progress and risks to stakeholders; anticipate blockers and drive mitigation. You will build durable telemetry, quality bars, and operational rhythms to sustain velocity and UX quality.

Accountabilities

• Execute on web/macOS scenarios end-to-end; define IA, interaction patterns, and component reuse.
• Drive performance & reliability KPIs (FMP, input latency, memory) and support experimentation.

The Candidate we're looking for

Experience:

• 5+ years in Product Management.

Technical skills:

• Strong system-level thinking across platform capabilities, browser constraints, and performance tradeoffs.
• Familiarity with macOS HIG and modern web app foundations (React/TypeScript, perf tooling).

Personal attributes:

• Proven track record shipping desktop and/or web experiences at scale with accessibility baked in.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Principal Software Engineer to join their Copilot Security team in Redmond. This role will involve designing, building, and shipping agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

About the Role

As a Principal Software Engineer on the Copilot Security team, you will be responsible for developing and shipping agentic AI-powered security features that protect users from emerging threats. You will design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. You will also collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Accountabilities

• Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

The Candidate we're looking for

Experience:

• 8+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python.

Technical skills:

• Proven ability to design, build, and ship agentic AI features or frameworks.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms.

Personal attributes:

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI-powered security features.
• Collaborative and dynamic work environment.

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What you'll do

• Drive advanced product capabilities and innovations in emulation runtime performance for industry-leading platforms.
• Engage in the full product lifecycle, from feature definition and implementation to rigorous testing, quality measurement, and customer deployment.
• Collaborate closely with internal stakeholders to deliver superior outcomes for customers.

What you need

• Minimum 8 years of experience in emulation methodology, spanning early RTL verification to software bring up.
• Proven expertise in verification, with a focus on System on Chip (SoC) design bring-up and validation.

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What you'll do

Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling.

What you need

• Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools.

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What you'll do

• Serve as the dedicated technical partner for strategic API Platform customers, guiding them through architecture design, integration, and optimization.
• Troubleshoot API performance, grounding quality, and integration challenges—diving directly into code and logs when needed.
• Prototype example integrations, search workflows, and demos to accelerate adoption and inspire customer innovation.
• Collaborate with Engineering and Product to resolve high-priority escalations, ensuring minimal downtime and maximum reliability.
• Capture and synthesize customer feedback to improve API features, SDKs, and developer experience.

What you need

• 5+ years in technical support engineering, software engineering, or solutions engineering, with direct application development experience.
• Strong API integration skills—able to design and debug REST/JSON payloads, manage auth flows, and optimize latency.
• Proven track record of diagnosing complex technical issues across distributed systems, APIs, and customer environments.
• Excellent communicator who can work with both developer teams and non-technical stakeholders.
• Bachelor's degree in Computer Science or equivalent hands-on experience.

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What you'll do

The Engine Programmer – Animation will work within a AAA production team (unannounced project).

This is a critical role, where supporting the engine and animation teams in the creation and delivery of 'best in class' animation is a priority.

What you need

• Design, develop, and implement animation features in our in-house game engine using C++, C#, and Python.

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What you'll do

As a Game Designer for FC Mobile, you will report to the Live Content Team Lead. You will design and plan game features and systems. You will plan and operate live events and in-game products. You will support live updates and respond to live service issues.

What you need

• Experience in game features or in-game events design in a design(planning) team in related industry (3+ years)
• Or experience in event or product design in a business team in related industry (3+ years)
• Experience with Football & Football Games: understanding and interest in both real-world football and football simulations.

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What you'll do

• Design, prototype, and collaborate with other Designers and project leadership to ensure your systems deliver the desired player experience and achieve other project goals
• Communicate the vision for these features to developers across multiple disciplines, and ensure they have the information needed to implement them quickly and effectively

What you need

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, and/or engagement features and content
• Experience working on live-service multiplayer environments is preferred

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What you'll do

• Design, prototype, and collaborate with other Designers and project leadership to ensure your systems deliver the desired player experience and achieve other project goals
• Communicate the vision for these features to developers across multiple disciplines, and ensure they have the information needed to implement them quickly and effectively

What you need

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, and/or engagement features and content
• Experience working on live-service multiplayer environments is preferred

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What you'll do

• Work on UI Systems Design, break down feature/wireframe into necessary widgets, materials, and input navigation; increase UI performance by ensuring best practices are being followed by colleagues
• Ensure assets/UI are within memory and CPU constraints. Learn to profile performance and the costs of UMG/Slate/C++/and texture memory
• Implement blueprint logic when presentation logic calls for it. Assist UI Artists where necessary to implement special presentation behaviour. Consult with UI Programmers on what logic will be in blueprint vs native code
• Debug blueprints/UMG issues quickly using various tools and techniques
• Find ways to assist UX, UI Art, and UI Programming in organization, documentation, and building workflow improvements

What you need

• Experience in building UI and experiences in game engines and across multiple platforms (mobile, web, pc, consoles). Or similar experiences that have transferable years of experience
• Experience shipping updates and new features to a user base on a regular cadence. Or similar experiences that have transferable years of experience
• Professional experience using Adobe Suite (especially Photoshop, Illustrator a plus), have engine experience (Custom engine, Unity, Unreal Engine, Lumberyard, Snowdrop, etc.), and an understanding of game industry 3D-package experience (3D Studio, Maya, etc.)

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What you'll do

The FC Gameplay team creates the most authentic, engaging and fun football simulation experiences in the world. As a Gameplay Designer, you are in charge of defining, describing, documenting, communicating and verifying features and content that create those experiences for millions of players.

• Develop gameplay features from concept through to release
• Create gameplay features and experiences that are unique to game modes within FC

What you need

• 2+ years of experience in a game production, design or quality verification role
• Experience designing, managing, or scaling user-generated content (UGC) or user-generated experiences, including community-driven features and creator ecosystems.

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What you'll do

• Contribute to the design and implementation of new and existing UI and its intersections with gameplay features and services
• Optimize and fix bugs in existing systems
• Build relationships with adjacent teams including Art, Design, Product, and Performance, while working on cutting edge features that support player experiences across the Fortnite ecosystem
• Collaborate effectively with peers, share knowledge, and support others' success as well as your own
• Write and document reliable, maintainable code, with extensibility in mind
• Maintain strong attention to detail, especially with regard to functionality, readability and compliance

What you need

• Strong understanding of C++ & technical fundamentals
• Experience developing UI features for mobile platforms
• Unreal Engine development experience
• General experience with web services
• A commitment to delivering quality work with a collaborative, solutions-focused approach, and a willingness to explore and learn unfamiliar systems
• Ability to communicate clearly and respectfully in a remote, cross-disciplinary team environment
• An interest in games or interactive experiences, and UI/UX design principles
• Strong analytical and problem-solving skills
• UMG and Slate experience is a plus

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What you'll do

• Design, plan, and implement new features with a systemic approach
• Write robust and maintainable code
• Optimize and fix bugs in new and legacy systems

What you need

• Exceptional C++ programming skills
• Experience developing features for games across multiple platforms

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What you'll do

• Architect, plan, and implement new features with a systemic approach
• Write robust, maintainable code with a focus on the future

What you need

• Exceptional C++ programming skills
• Experience developing features for games across multiple platforms

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What you'll do

• Architect, plan, and implement new features with a systemic approach
• Write robust, maintainable code with a focus on the future

What you need

• Exceptional C++ programming skills
• Experience developing features for games across multiple platforms

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What you'll do

• Architect, plan, and implement new features with a systemic approach
• Write robust, maintainable code with a focus on the future

What you need

• Exceptional C++ programming skills
• Experience developing features for games across multiple platforms

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What you'll do

• Design, plan, and implement new features with a systemic approach
• Write robust, maintainable code with a focus on the future

What you need

• Exceptional C++ programming skills

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What you'll do

• Lead and mentor a team of technical artists focused on delivering optimized, high-quality visuals for mobile and cross-platform experiences; partner with art, design, and programming to balance visual fidelity, performance, and production efficiency.

What you need

• Proven experience leading or directing technical art for real-time projects across mobile or multi-platform pipelines

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What you'll do

• Lead and mentor a team of technical artists focused on delivering optimized, high-quality visuals for mobile and cross-platform experiences; partner with art, design, and engineering to balance visual fidelity, performance, and production efficiency.

What you need

• Proven experience leading or directing technical art for real-time projects across mobile or multi-platform pipelines

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What you'll do

You will partner with production and creative leadership to define and translate franchise goals into clear feature direction, development plans, and measurable outcomes. You will lead the prioritization, planning, and delivery of launch and live service features from concept to ship.

What you need

• 8+ years of professional game production experience, including senior leadership on at least one shipped AAA title.
• Proven ability to own features or systems across full development cycles in a console or PC title.

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What you'll do

• Architect and implement strategies for time sensitive gameplay mechanics in a responsive, action oriented multiplayer game in collaboration with engineers, designers and artists.
• Work with engineering teams to identify and implement core real time networking systems and gameplay features.
• Technical oversight of your team members' contributions.
• Actively share domain knowledge, teach and mentor engineers within their team.
• Design, implement and document technology and strategies to facilitate the development of games mechanics in a multiplayer environment by other team members.
• Own features and collaborate with team members to solve problems efficiently.

What you need

• 4+ years experience in software development with a strong C++ focus.
• Shipped multiplayer action games as a contributor in networked game mechanics and technology, such as: shooters, melee combat, sports or sports adjacent.
• You understand the tradeoffs between the various approaches of latency mitigation in multiplayer games, and their applications and shortcomings.
• Advanced debugging skills applicable to client/server multiplayer games.

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What you'll do

As FC Live's Director of Game Product Management, you will be accountable for the top-level live service performance of EA's largest live service. You will be an example of the Game Product Management discipline at its best, for practitioners in your team to emulate and for partners to utilize.

• Accountable for the top-level live service performance of EA's largest live service
• Be an example of the Game Product Management discipline at its best, for practitioners in your team to emulate and for partners to utilize
• Manage and develop a group of Game Product Managers, creating an environment where their expertise grows and their impact is visible

What you need

• 10+ years experience in related role(s) (product management, game development, system design or live operations) with 5+ in a product management / production role, with multiple years managing people
• Experience driving performance metrics across teams
• Experienced with data-led decision-making and designing experimentation

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