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 responsibilities will include:

Architecting and owning the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more).

Designing and deploying scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories.

Building ML-powered marketing targeting systems that identify the right users for the right campaigns , new buyer discounts, drop campaigns, weekly deals, and seasonal promotions , driving conversion without conditioning users to wait for discounts.

Leveraging Discord's unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations that differentiate Discord from traditional game storefronts.

Driving deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions.

Partnering closely with Shop, Game Commerce, Revenue Infra, ML Infra, and Data Engineering teams to define ML requirements, surface integration points, and influence the commerce roadmap.

To be successful in this role, you will need:

4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end.

Deep expertise in applied deep learning , particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation.

Strong proficiency in Python and deep learning frameworks (PyTorch preferred).

Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks.

Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up, not just improve existing ones.

Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact.

Strong cross-functional instincts , you're comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution.

Bonus skills include experience applying graph ML or social network signals (social affinities, community behavior) to recommendation or personalization problems, familiarity with personalized marketing systems: lifecycle targeting, audience segmentation, and campaign optimization, and familiarity with loyalty, rewards, or incentive programs.

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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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Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

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

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $185,800-$260,100 USD

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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 an Engineering Manager, you will:

Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers. Work across the entire product lifecycle from conceptualization through production. Build features end-to-end, system design, debugging and testing. Deliver experiments at a high velocity and level of quality to engage our customers. Influence the culture, values, and processes of a growing engineering team. Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences.

Ideally, you'd have: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred. Proven success in leading, managing, and developing high-performing Engineering teams. Expertise in identifying product engagement patterns and trends for large scale consumer products. Track record of shipping high-quality products and features at scale. Desire to work in a very fast-paced environment. Ability to turn business and product ideas into engineering solutions. Excellent problem-solving skills, and be able to work independently or as part of a team.

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As a Senior Software Engineer, Financial Platform, you will work with your squad to build the financial systems and integrations that underpin Discord's existing business lines, and enable new revenue streams across Android, iOS, and Web. You will run revenue operations side by side with our finance and accounting teams, collaborate with business development to forge strategic partnerships, and partner with CX, Data Science, and feature teams across the company to evolve Discord's payments and payouts platforms.

Key responsibilities include:

• Building financial systems and integrations that underpin Discord's existing business lines and enable new revenue streams
• Running revenue operations side by side with our finance and accounting teams
• Collaborating with business development to forge strategic partnerships
• Partnering with CX, Data Science, and feature teams across the company to evolve Discord's payments and payouts platforms

The ideal candidate will have 5+ years of software engineering experience, deep expertise in backend development (Python), and working knowledge of frontend technologies (React, TypeScript).

We offer a competitive salary range of $196k to $220k, plus equity and benefits. Relocation assistance may be available.

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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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This is not a reporting role. This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.

You’ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.

What will I be doing?

• Build Revenue-Impacting ML Systems
• Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)
• Productionize models into operational systems (Salesforce, Marketo, outbound workflows)
• Monitor model performance and iterate for measurable business lift
• Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)
• Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)

You don’t just build models - you ensure they change behavior.

Own End-to-End Data Products

• Translate ambiguous business problems into clear, measurable objectives
• Define GTM data products vision, success metrics, and roadmap
• Ensure integration into existing workflows and systems
• Lead stakeholder alignment and change management
• Secure buy-in from system owners before replacing or enhancing existing solutions

You operate as a mini GM for your data products.

Architect Scalable Data Foundations

• Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure
• Ensure data quality, governance, and reproducibility
• Elevate the team’s standards for experimentation, documentation, and knowledge sharing
• Push adoption of new tools and AI capabilities where appropriate

You raise the technical bar for the GTM organization.

What impact might I have?

Within 6-12 months, you might:

• Launch predictive models that materially improve conversion, expansion, or retention
• Reduce inefficiencies in Sales workflows through automation
• Help leadership make investment decisions backed by rigorous data science
• Influence GTM strategy through quantitative insight and modeling

Success is measured in business outcomes - not dashboards built.

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A typical day for this role will involve building deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape. You will work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses. You will implement best-in-class product development and management practices, maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams, and advocate for and execute new products that deliver impact for our business and users.

As the Product Manager based in our EMEA region, you will report to the Product Marketing Director for International Markets. You will be responsible for the success of Airbnb products throughout their life cycle , from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.

This role is based either in London or Paris (or within easy commuting distance of these cities). 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 shown below is annualized, 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.

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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 Senior Computer Vision Engineer will be responsible for proposing and prototyping innovative solutions to solve real-world problems, developing and maintaining core libraries and runtime applications, integrating classical and geometric methods in computer vision with ML methods, and working with space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes.

The successful candidate will have a Master's or Ph.D. in Machine Learning, Robotics, or Computer Science, with a strong background in computer vision and machine learning. They will also have experience in one or more of the following: objection detection, object tracking, instance segmentation, semantic segmentation, semantic change detection, natural feature tracking (NFT), visual odometry, SLAM, multi-view geometry, structure from motion, 3D geometry, discriminative correlation filters, stereo, neural 3D reconstruction, multi-band sensor processing, RGB-D and LIDAR sensor fusion.

The Senior Computer Vision Engineer will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software, to develop and implement computer vision algorithms for various spacecraft efforts in all orbital regimes.

The ideal candidate will have excellent communication and organizational skills, including documentation and training material, and will be able to work effectively in a fast-paced environment with tight deadlines.

The salary range for this role is $191,000-$253,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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In your first 6-12 months, you'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Key responsibilities include:

• Mastering our company data pipeline architecture, including how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Reading and analyzing production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Developing frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Creating clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

• Contributing to pipeline evolution and infrastructure improvements by participating in design conversations with Engineering and Product, validating pipeline improvements through rigorous testing, and translating data quality investigations and emerging requirements into system-level improvement opportunities

• Solving complex, ambiguous data challenges by leading or contributing to data improvement initiatives that require both systems thinking and creative problem-solving

• Building partnerships and institutional knowledge by developing strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts, conducting impact analyses and validation studies, and documenting your learning, approaches, and insights

We're looking for a highly skilled individual with a strong background in data analytics, data engineering, or related technical roles. You should have experience working with data pipelines, ETL systems, or data processing infrastructure, and be able to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility.

Required qualifications include:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure
• Ability to read and understand code (Python, Java, SQL, or similar)
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills,able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality,you drive your work forward and know when to seek input

Preferred qualifications include experience with company data, business data, web data acquisition, or data quality initiatives, as well as experience with data profiling, entity resolution, record linkage, or data matching systems.

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Anthropic is looking for an Engineering Manager to lead the Agent Prompts & Evals team. This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.

When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.

The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.

Responsibilities

• Lead and grow a team of prompt engineers and platform software engineers
• Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship
• Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces
• Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic
• Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure
• Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior
• Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them
• Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy

You May Be a Good Fit If You Have

• 8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers
• A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details
• Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once
• Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.
• A product mindset and willingness to wear multiple hats when the work calls for it
• Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it
• Experience recruiting and closing senior ICs in a competitive market

Strong Candidates May Also Have

• Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially
• Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems
• Background in devtools, CI/CD platforms, or testing infrastructure at scale
• A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability
• Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder

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.

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

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As the Product Manager for this 0 to 1 area, you'll build and own the platform that makes this all possible. You'll create APIs that let developers programmatically import media, run AI-powered edits, and export content. In essence, turning Descript's already powerful editing capabilities into infrastructure that media businesses can depend on.

Responsibilities

• Own the API and developer experience that lets teams create content workflows at scale
• Launch integrations that unlock new use cases: MCP wrappers, no-code workflow platforms, and strategic partner integrations
• Work closely with our Agentic AI team to influence what editing capabilities we build and how they're exposed through the API
• Define and grow this business line by shaping positioning, pricing, and go-to-market strategy with Sales and Marketing teams

Requirements

• You’ve shipped technical products before: You have 5 or more years of product management experience shipping internal APIs, developer platforms, and foundational systems that enable other teams
• You build things from scratch: Building a brand new product means venturing into the unknown, and you find that energizing rather than scary. You've taken products from 0 to 1, figured out ambiguous problem spaces, and created the playbook to make it successful.
• You start with the customer: Plenty of “AI products” start with the technology and they all suck. You care deeply about understanding customers, and have experience in doing customer discovery and defining features that solve real problems.
• You are funny, creative, maybe kind of weird: Ok, this isn’t a hard requirement but Descript is kind of a quirky place and the people who love it tend to like that about working here. So, just want to drop a hint early on. Also, the sense of humor is important because even though we take our work seriously it’s still just, like, video creation and editing. We aren’t flying rockets into space so let’s all have a good time.

The base salary range for this role is $171,000 - $235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.

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This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output.

Responsibilities:

• Systems Integration & Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.

• Performance & Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.

• Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.

• Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.

• Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.

• Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.

You may be a good fit if you:

• Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems

• Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.

• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives

• Have strong stakeholder management skills and can build trust with both technical and non-technical partners

• Are comfortable navigating competing priorities and using data to drive technical decisions

• Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance

• Thrive in fast-paced environments and can balance strategic planning with tactical execution

• Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models

Deadline to apply: None, applications will be received on a rolling basis.

The annual compensation range for this role is $290,000-$365,000 USD.

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The team is responsible for building resource management infrastructure, developing reliable and scalable services and client libraries, and building tools to allow Databricks engineers to operate their services across different clouds and environments.

Key responsibilities include:

• Hiring great engineers to build an outstanding team
• Supporting engineers in their career development by providing clear feedback and developing engineering leaders
• Ensuring high technical standards by instituting processes and culture
• Working with engineering and product leadership to build a long-term roadmap
• Coordinating execution and collaborating across teams to unblock cross-cutting projects

Requirements include:

• 12+ years of experience with large-scale distributed systems and processes around testing, monitoring, SLAs
• Extensive experience as a Software Engineering Leader, building and scaling software engineering teams from the ground up
• Extensive experience managing a team of strong software engineers
• Partnering with PM, Sales, and Customers to develop innovative features and products
• A Bachelor's degree in Computer Science or a related field

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

The base salary range for this full-time position is $210,000 to $257,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.

Quality Engineering & Test

Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases. Design and implement comprehensive test strategies covering:

• Native mobile applications (iOS & Android)
• Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)
• Microservices and distributed systems
• Critical web workflows that intersect with mobile journeys
• Device, OS, browser, and network variability
• App lifecycle events, offline behavior, retries, and edge cases

Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows. Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing.

Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management. Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.

Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.

AI-Driven Quality and Automation

Leverage AI to enhance mobile, backend, and web testing effectiveness, including:

• AI-assisted test case and test data generation
• Intelligent regression suite prioritization based on code changes
• Predictive defect detection and risk-based testing
• Flaky test detection and automated stabilization insights

Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows. Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.

Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.

Automation Excellence

Design, build, and scale robust automation frameworks using:

• XCUITest, Espresso, Appium (mobile automation)
• Playwright (web and mobile web validation)
• REST Assured or similar tools for API and service validation

Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams. Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:

• Pre-merge quality gates
• Parallelized execution
• Environment-aware test runs
• Post-deployment smoke and regression coverage

Build developer-friendly tooling that enables:

• Self-service test execution
• Real-time reporting and dashboards
• Faster debugging and failure triage
• Scalable test data and environment management

Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.

Performance, Scalability & Reliability

Design and execute performance validation across:

• Mobile app startup time and responsiveness
• API latency, throughput, and reliability
• Backend load and stress conditions
• Web performance for critical flows

Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics. Lead root-cause analysis of complex cross-layer defects spanning mobile UI, APIs, backend services, and web surfaces.

Ensure reliability validation is embedded directly into release workflows.

Cross-Functional Collaboration and Leadership

Collaborate closely with mobile engineers, backend developers, web engineers, product managers, DevOps teams, and release managers to define clear, testable requirements and release criteria. Actively participate in sprint grooming, planning, stand-ups, and retrospectives.

Influence best practices around mobile-first design, API contracts, and release readiness. Support mobile app release activities, including release candidate validation, go/no-go recommendations, and post-release monitoring.

Mentor junior QA engineers and contribute to raising the technical bar in automation and cross-platform validation. Work effectively with globally distributed teams to coordinate testing across time zones.

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Your Expertise:

• 10+ years of experience in the software development industry with at least 7 years as a technical program manager.
• Demonstrated ability to work calmly through ambiguity to detailed solutions.
• Self-motivated, proactive and ability to adapt well and work with teams having different operating cadences.
• Proven track record of influencing others in combination with strong analytical skills and allowing others to give feedback while understanding their viewpoints.
• Experience developing processes where little exists and demonstrated flexibility to get things done.
• Detail-oriented with the ability to understand the bigger picture by using your technical expertise and problem solving abilities to prioritize and manage blocking issues.
• Experience working in a highly cross-functional environment where communication with multiple groups is imperative.
• Excellent written and oral business communication and people skills, with the ability to influence stakeholders.
• Exhibit knowledge of Asana, Jira, or other equivalent task management tooling.
• B.S. in Computer Science or a related technical discipline, or equivalent experience.

Nice to have:

• Experience developing or working directly on various aspects of large-scale ML/AI platforms.
• Experience with feature development of AI-powered product experiences.
• Experience and passion for building and maintaining products leveraging AI models

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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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The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking).

The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles. This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

The position requires a strong background in computer vision, machine learning, and software development, with experience in developing and implementing computer vision algorithms for space-based applications. The ideal candidate will have a deep understanding of computer vision principles, including object detection, tracking, and recognition, as well as experience with software development in languages such as C++ and Python.

Key Responsibilities:

• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

Required Qualifications:

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Preferred Qualifications:

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

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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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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.

Visit mixpanel.com to learn more.

About the Sales Team

Our Sales team manages the entire sales cycle, helping prospects and existing customers leverage Mixpanel to analyze, measure, and improve their customer experience. The team consists of two roles - Account Executives who bring in new business and Account Managers responsible for nurturing existing customers.

The team specifically covers companies with employee sizes from 1-200, emphasizing high-growth tech companies changing the world around us.

About Mixpanel in Israel

Mixpanel is the best-known and most respected Digital Analytics platform in Israel. With hundreds of paying customers from Israel, from the entire spectrum of industries, we are proud to work with some of the largest and most fascinating customers that have come out of Israel in recent years, including Viber, eToro, Taboola, Fiverr, Monday.com, and many more.

The Israeli market represents one of Mixpanel’s most exciting markets, with a concentration of Tier 1 tech and start-ups and a high focus on VCs. We have witnessed a high level of growth in the Israeli market since we put a team on the ground in November 2021.

For this reason, we are looking to add a Sales representative in the territory. This Sales representative will work under the direction of our Country Manager in Israel and be part of a team on the ground in Tel Aviv.

About the Role

As an Account Executive II, you'll help our future customers understand the power of Mixpanel as the best-in-class digital analytics solution in targeted markets: Greece, Cyprus, Gibraltar, and Malta. Collaboration is critical, from building solid relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team.

You'll leverage your prospecting skills selling SaaS to tech companies alongside solid knowledge of Mixpanel's product and ecosystem to close new business, powering the next generation of innovative companies in these fast-growing European markets.

Responsibilities

• Half of your time will be spent closing new business opportunities, and half of your time will be spent developing a pipeline into stage two opportunities.

• Prospect into specific targeted accounts , build and maintain a pipeline while owning the sales cycle from start to finish.

• Drive awareness of Mixpanel as a solution within the marketplace and handle inbound requests from interested prospects.

• Maintains accurate Salesforce records related to New Business opportunities and delivers accurate weekly forecasts related to revenue targets.

• Approach all deals with a customer-focused mentality. Develop relationships and uncover the needs of multiple key stakeholders to find value moments.

• Sell with a long-term consultative approach.

• Collaborate cross-functionally with key partners such as Solutions Engineering, Customer Success, Product, Marketing, and Legal.

• Intimately understand Mixpanel's competition and technology partners to consult customers on our place in the broader analytics market.

We're Looking For Someone Who Has

• Minimum two years of related experience in full-cycle SaaS Sales from prospect to close, as an Account Executive or related cross-functional role like Sales Engineer.

• Strong outbound prospector and have successfully closed net new business deals.

• Effective communicator and collaborator , you have strong interpersonal skills and are an excellent team player.

• Adaptability , you understand that change is constant and embrace it.

• Agility and resilience , you move quickly and encourage continued improvement.

Strong work ethic, desire to learn, and a drive to excel.

• Curious about the product analytics space.

Bonus Points For

• Experience selling to high-growth tech companies.

• Experience with Mixpanel or other analytics tools.

• Experience selling in Greece, Cyprus, Gibraltar, Malta - Greek speaker

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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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Key responsibilities include:

• Owning site-specific power feasibility and validation for all Development opportunities.
• Serving as a hard Development gate - no site advances without a confirmed, executable utilities path.
• Validating availability, delivery timelines, upgrade requirements, costs, and risk profiles.

The role also involves:

• Actively coordinating with utility providers to drive overall utility coordination, design reviews, infrastructure planning, development budgeting to turn over execution.
• Holding utilities and external partners accountable to agreed delivery schedules and milestones.
• Supporting on-the-ground engagement internal and external teams with utilities, municipalities, and local stakeholders.

Additionally, the role requires:

• Analyzing alternative power structures where required to accelerate delivery or mitigate risk.
• Translating alternative power paths into a clear schedule, cost, and execution impacts for Development decision-making.

This role serves as the connective tissue across Development, Operations, Finance, Legal, Gov/Tax, Sustainability, Design, and Construction, ensuring power costs, timelines, and risks are accurately reflected in Development schedules, TCO and financial models, and executive-level materials supporting go/no-go decisions.

The Staff, Energy Operations role supports construction and operational readiness but does not own construction execution.

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Key Responsibilities:

• Own complex mechanical subsystems for Anduril's drone products from concept to full rate production
• Gather requirements and work through trade studies to determine the best solution
• Perform hand calculations and FEA to develop, assess, and optimize designs
• Lead design reviews and obtain buy-in from other cross-disciplinary partners
• Build prototypes, define and execute hardware test plans, iterate on designs, summarise results and lessons learned
• Perform root cause investigations for hardware failures in development and production
• Balance operational needs across vehicle subsystems while optimising for development speed, mass, manufacturability, and cost
• Support critical hardware demonstrations with customers as needed

Requirements:

• 5+ years of mechanical/design experience in a professional setting
• Demonstrated ownership of a product from concept through production
• CAD skills (any platform) and ability to make high quality engineering drawings that meet industry standards
• Proficient in hands-on prototyping (machining, shop tools, welding, soldering)
• Strong understanding of engineering fundamentals in structures, fluids, thermal, and mechanisms
• Demonstrated project/technical leadership skills (collegiate project teams or professional settings)
• Ability to summarise technical content in a cohesive way to help inform and shape future requirements
• BS or MS in mechanical engineering, or equivalent work experience

Preferred Qualifications:

• Experience in Solidworks or NX, and PLM systems
• Solid understanding and application of GD&T
• Advanced designing skills for CNC machining, composites, sheet metal, injection moulding, PCBA integration
• Outstanding leadership and interpersonal skills
• Familiarity with running a qualification campaign for flight hardware
• Familiarity with designing for rugged environments
• Experience with electro-mechanical and electrical design concepts
• Experience with Formula SAE, Baja SAE, Design Build Fly, etc.

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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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Responsibilities:

• Develop and manage comprehensive project plans to execute on initiatives, identify key milestones, and ensure alignment across stakeholders
• Think both broadly about overall outcomes while using good judgment on where to focus in on details
• Influence the technical direction of projects to meet the stakeholders' needs while upholding quality
• Quickly validate project ideas through iterative development, and pivot as necessary
• Define and align on success criteria for both short-term and long-term business goals, regularly assessing risks and opportunities and identifying mitigation strategies
• Manage effective communication channels to keep a wider range of stakeholders updated on the progress
• Showcase the work in front of senior leaders, clearly communicate trade-offs, risks, and opportunities

Your Expertise:

• 7+ years of experience in the software development industry, with at least 5 years as a TPM or relevant experience
• Experience using AI to automate manual processes to improve you and your team's productivity
• Demonstrated ability to work through ambiguity to detailed solutions
• Self-motivated, proactive, and proven ability to adapt well and work with teams having different operating cadences
• Sound business judgment, a proven ability to influence others, strong analytical skills, and a track record of taking ownership, leading data-driven analyses, and influencing results
• Experience with ML models, LLMs, LRMs, feature development, model testing, and resource management to support the development of AI-powered product experiences
• Familiar with A/B testing, incremental delivery, and deployment
• Ability to ramp up quickly and learn new technologies with minimal lag time
• Excellent written and oral business communication and people skills, with the ability to influence stakeholders

Nice to have:

• Experience developing or working directly on various aspects of large-scale ML/AI platforms
• Experience with feature development of AI-powered product experiences
• Experience and passion for building and maintaining products leveraging AI models

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The right person for this role has a strong command of mechanical design and stress and thermal analysis principles as well as a solid handle on the usage of tools common in industry. If you are someone who is hardware-focused and detail-oriented then this role is for you.

Responsibilities:

• Perform CAD design activities of mechanical components.
• Perform finite element analysis of structural and thermal systems.
• Generate, review, and release product definition (i.e. engineering drawings).
• Create reports and presentations documenting analysis and other supporting work.
• Present to peers and customers in design reviews.
• Support prototyping, manufacturing, and test operations onsite at our manufacturing facilities and suppliers’ facilities.
• Own the development of critical subsystems from cradle to grave.

Required Qualifications:

• 2+ years’ experience performing mechanical design and analysis.
• A bachelor’s degree in mechanical engineering, aerospace engineering, or similar.
• Prior experience operating CAD software and/or FEA software.
• A solid understanding of hardware manufacturability and Geometric Dimensioning and Tolerancing.
• Strong communication skills.
• Ability to travel to other Anduril sites, customer sites, or supplier sites as business demand dictates. Anticipated 10-25% travel.
• Ability to obtain and hold a Secret Security Clearance.

Preferred Qualifications:

• Exhibits strong initiative and ownership of tasks.
• Experience with NX CAD software and/or Abaqus FEA software.
• Certification in Geometric Dimensioning and Tolerancing.
• Expertise in engineering tool development in Microsoft Excel, MATLAB, and/or Python.
• Experience with propulsion systems.

US Salary Range $85,000-$126,000 USD

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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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Our team is responsible for the software running on our systems, including the Fury unmanned fighter jet and the Barracuda family of advanced effects. We are looking for engineers who are excited to build the foundational vehicle software stack that supports the wide range of AD&S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.

Responsibilities:

• Develop software for vehicle control, networking, sensor integration, and telemetry
• Collaborate with other engineering disciplines to design and implement software solutions
• Work on critical software that has a real-world impact
• Analyze complex systems and established code bases
• Develop software solutions involving significant amounts of data processing and analysis
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

Preferred Qualifications:

• Experience with JOMS/NOMS ecosystem, with a focus on application development and graphical user interfaces
• Developing and testing multi-agent autonomous systems and deploying in real-world environments
• Feature and algorithm development with an understanding of behavior trees
• Developing software/hardware for flight systems and safety critical functionality
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics
• Universal Armament Interface (UAI) and WOSA

Benefits:

• US Salary Range $166,000-$253,000 USD
• Comprehensive medical, dental, and vision plans at little to no cost to you
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region
• Relocation Assistance: Available depending on role eligibility
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options
• Pension plan with employer match for UK & IE Roles
• Superannuation plan for AUS Roles

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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 role will be based temporarily at Santa Ana, CA for a 3-month training period before transitioning to Asheville, OH.

Key responsibilities include:

• Building things that test things. Design mechanical assemblies using professional CAD design tools.
• Working with rapid fabrication teams or 3rd party suppliers to source equipment.
• Integrating your designs into Anduril's PDM systems. You will follow the same process for component design and release that our product design teams use.
• Working with design teams to integrate mechanical DFM / DFT requirements into our products.
• Developing complex electromechanical systems within a multidisciplinary group. You will work directly with software and electrical engineers, solving problems to manufacture and test products in land, sea.
• Generating test work instructions that can be easily followed by technician teams in MES. Training technicians on equipment use as required.
• Determining root cause of product failures and recommending appropriate corrective actions (RCCA).
• Analyzing test data, documenting results, and providing detailed reports to identify defects and areas for improvement.
• Collaborating with design engineers to provide feedback and recommendations for product enhancements based on test outcomes.

Required qualifications include:

• Bachelor's degree in Electrical/Electronics, Computer, Mechanical Engineering, or related fields.
• 5+ years of relevant industry experience with emphasis on product designs that have gone to manufacturing.
• Expert capability with (at least one) Mechanical Design package(s).
• Experience with contract manufacturers, in-house fabrication, and prototyping process.
• Familiarity with electronics test equipment such as load cells, strain gauges, multimeters, etc.
• Strong root cause analysis skills of non-conforming hardware.
• Excellent written, verbal, interpersonal and communication skills.
• Familiar with Product Life Cycle (PLM) systems.
• Experience working on projects that involve the integration of electrical, mechanical, and software/firmware systems.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include:

• 8+ years of relevant industry experience.
• Pursuing a Master's of Science in Electrical Engineering, Electronics Engineering Mechanical Engineering, Computer Science or related field.
• Familiarity with NX and Solidworks CAD design packages.
• Experience with PCBA test fixturing design.
• Experience working alongside Industrial Design or Product Design teams (surfacing, ergonomics, etc.).
• Experience with mechanical systems related test (Thermal, Vibration, etc.).
• Currently possesses and is able to maintain an active U.S. Secret security clearance.

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A successful candidate will have experience with military specifications and wearable systems. They should be able to pursue prototyping and evaluation efforts with a high degree of autonomy meeting stringent SWAP-C requirements while balancing human factors and comfort with packaging needs.

Responsibilities: Design and develop mechanical systems for wearable devices, including traditional and additive manufacturing from prototype through production with metallics and composites. Ergonomics and Human Factors: Designing for comfort, fit, and usability to ensure the wearable devices are effective for prolonged wear in tactical environments. Structural/Thermal Analysis: Ability to perform first-order analyses to inform trade studies and concept designs. Manufacturing Processes: Knowledge of techniques for fabricating and assembling materials, including molding, laminating, and machining. Thermal and Environmental Considerations: Understanding how temperature, humidity, and other environmental factors affect materials and performance.

Qualifications & Critical Competencies: BS, M.Eng, MS or PhD in an engineering field. 1-6 years Mechanical Engineering Experience. CAD skills (any platform) and ability to manage complex parts and assemblies, and produce high-quality engineering drawings. High competencies with: Detailed mechanical design for traditional and additive manufacturing from prototype through production with metallics and composites. Ergonomics and Human Factors: Designing for comfort, fit, and usability to ensure the wearable devices are effective for prolonged wear in tactical environments. Structural/Thermal Analysis: Ability to perform first-order analyses to inform trade studies and concept designs. Manufacturing Processes: Knowledge of techniques for fabricating and assembling materials, including molding, laminating, and machining. Thermal and Environmental Considerations: Understanding how temperature, humidity, and other environmental factors affect materials and performance.

Preferred Qualifications: Consumer electronics packaging and design, design for cameras, displays, SoC integration, and ruggedization. Experience with a military qualification program, including a deep understanding of MIL-STD requirements. Experience with NX/Teamcenter, including FEA extensions. Experience rapid prototyping and iterating with 3D printed assets.

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The ideal candidate will have a BS, M.Eng, MS or PhD in an engineering field, 1-6 years Mechanical Engineering Experience, and CAD skills (any platform) and ability to manage complex parts and assemblies, and produce high-quality engineering drawings. They should also have high competencies with detailed mechanical design for traditional and additive manufacturing from prototype through production with metallics and composites, ergonomics and human factors, structural/thermal analysis, manufacturing processes, and thermal and environmental considerations.

Preferred qualifications include consumer electronics packaging and design, design for cameras, displays, SoC integration, and ruggedization, experience with a military qualification programs including a deep understanding of MIL-STD requirements, experience with NX/Teamcenter, including FEA extensions, and experience rapid prototyping and iterating with 3D printed assets.

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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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Our team is responsible for building systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You will work on high-impact systems that improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.

As a Senior Machine Learning Engineer, you will:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

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

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $216,700-$303,400 USD

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Key Responsibilities:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

Requirements:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production

Nice to Have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

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From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible.

This is a high-impact problem as our customers look at us to deliver the most out of their data.

Key responsibilities include:

• Building features and running end-to-end systems in a small team of experienced engineers and data scientists.
• Shaping the direction of our applied ML investment by engaging with engineering and product teams across the company.
• Driving the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
• Architecting and implementing robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
• Working on novel modeling techniques in the field of ML for forecasting.

What we look for:

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.
• Strong understanding of both computer systems and statistics.
• Experience developing AI/ML systems at scale in production.
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
• A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

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In this role, you will specialize in improving and optimizing our ads auction and pricing mechanism which will have a direct impact on upleveling the utility for both our advertiser and user values. You will also have the opportunity to work on other org-wide strategic initiatives such as supply optimization and ad relevance, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that shows the right ads to the right users at the right time in the right context.

As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in ads marketplace dynamics, auction and pricing, you will research, formulate, and execute on our mission to build end-to-end algorithmic solutions and deliver values to all the three-sided participants to our marketplace.

Responsibilities:

• Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.
• Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.
• Oversee end-to-end ML workflows,from data ingestion and feature engineering to model training, evaluation, and deployment,that optimizes the ads marketplace efficiency.
• Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.
• Be a cross-functional advocate for the team, collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products.

Required Qualifications:

• 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.
• Strong knowledge of ads marketplace optimization. Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.
• Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
• Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal).
• Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for ads marketplace optimization.

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

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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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You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• Own the product roadmap for AI platform areas , defining what we build, why, and in what order , to accelerate customer adoption of AI and ML in production.
• Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• Partner closely with engineering teams to make deeply technical decisions about ML infrastructure , from distributed training architectures to real-time serving systems.
• Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

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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.

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As a Full-Stack, Backend engineer at Airtable, you will have the opportunity to work with customers to deeply understand their needs and workflows. You will collaborate with cross-functional partners across product management, design, research and data science to create innovative new features that enable our customers to do their best work. You will be responsible for owning and executing the end-to-end implementation of these new features that will contribute to making our toolkit even more powerful and successful.

We currently have openings on:

• The Admin Team (Full-Stack/BE) ensures Airtable is secure, compliant, and enterprise-ready. It owns key admin capabilities like the Admin Panel, SSO, and audit systems, as well as foundational features like User Groups.

• The Platform Interoperability Team (Full-Stack/BE) builds the systems that allow agents, integrations, and connected workflows to interact with Airtable as a platform.

Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are only hiring in the following locations at this time:

• Based in the San Francisco Bay Area and are open to coming into our office (Embarcadero) at least ~2-3 times/week for team collaboration

• Based in New York City and are open to coming into our office (Soho) at least ~2-3 times/week for team collaboration

• Based remotely in the greater Seattle area

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Responsibilities:

• Win new business and drive revenue for Anthropic within the enterprise sector across DACH.
• Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes.
• Spearhead market expansion by identifying new use cases within enterprise departments, innovation centres, and operational offices.
• Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape.

Requirements:

• Native German speaker with excellent written and verbal communication skills in German and English.
• 8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies.
• Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities.
• A track record of managing complex sales cycles within large enterprise organisations and securing strategic deals by understanding both technical requirements and business use cases.
• Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments.
• Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies.
• Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process.
• Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives.
• Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market.
• A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities.
• A passion for and/or experience with advanced AI systems and their applications in enterprise environments.

What We Offer:

• Competitive base salary and commission structure.
• Equity participation in Anthropic's growth.
• Comprehensive benefits package.
• Opportunity to shape the AI industry in DACH and EMEA.
• Professional development and career growth opportunities.

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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

Anthropic is looking for an Engineering Manager to lead the Agent Prompts & Evals team. This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.

When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.

The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.

Responsibilities

• Lead and grow a team of prompt engineers and platform software engineers
• Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship
• Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces
• Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic
• Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure
• Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior
• Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them
• Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy

Requirements

• 8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers
• A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details
• Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once
• Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.
• A product mindset and willingness to wear multiple hats when the work calls for it
• Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it
• Experience recruiting and closing senior ICs in a competitive market

Nice to Have

• Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially
• Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems
• Background in devtools, CI/CD platforms, or testing infrastructure at scale
• A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability
• Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder

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.

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

As a key member of our X-BAT Division, you will be responsible for designing complex electro-mechanical mechanisms for autonomous aircraft, owning the full design process from concept to drawing release, and collaborating with internal and external partners to prototype, test, and release products to production.

Key responsibilities include:

• Designing complex electro-mechanical mechanisms for autonomous aircraft
• Performing structural and kinematic calculations and preliminary FEA
• Prototyping, testing, and iterating mechanism designs for functionality and reliability
• Collaborating with electrical, avionics, flight controls, and propulsion teams
• Mentoring junior engineers and promoting engineering excellence

Requirements include:

• B.S. in Mechanical/Aerospace Engineering
• 8+ years in mechanical or mechanism design
• Strong CAD skills (NX preferred)
• Kinematic analysis and optimization
• Structural analysis utilizing hand calculations and finite element methods
• FEA analysis: Modal, non-linear and linear, buckling, fatigue
• GD&T and tolerance stack-ups for mechanical systems
• Materials selection inclusive of alloys, heat treatments, allowables, and finishes

Preferred qualifications include experience with UAVs, aircraft, or robotic systems, familiarity with electro-mechanical actuators, and proficiency in FMEA, DOE, and root cause analysis.

In return for your expertise, you will receive a competitive salary within the range of $166,632 - $249,948 per year, plus bonus, benefits, and equity.

XML job scraping automation by YubHub

Working at the intersection of hardware, controls, and propulsion, you’ll solve complex engineering challenges, bring bold ideas to life, and play a direct role in getting cutting-edge aircraft into the air.

Responsibilities:

• Design complex electro-mechanical mechanisms for autonomous aircraft
• Own the full design process: concept, CAD, tolerance analysis, material selection, and drawing release
• Perform structural and kinematic calculations and preliminary FEA
• Prototype, test, and iterate mechanism designs for functionality and reliability
• Collaborate with electrical, avionics, flight controls, and propulsion teams
• Mentor junior engineers and promote engineering excellence
• Support pre-production builds, prototype integration, and ground/flight testing

Required qualifications:

• B.S. in Mechanical/Aerospace Engineering
• 8+ years in mechanical or mechanism design
• Strong CAD skills (NX preferred)
• Kinematic analysis and optimization
• Structural analysis utilizing hand calculations and finite element methods
• FEA analysis: Modal, non-linear and linear, buckling, fatigue
• GD&T and tolerance stack-ups for mechanical systems
• Materials selection inclusive of alloys, heat treatments, allowables, and finishes
• Ability to work independently and lead in fast-paced, cross-functional teams
• A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others

Preferred qualifications:

• Experience with UAVs, aircraft, or robotic systems
• Familiarity with electro-mechanical actuators
• Proficiency in FMEA, DOE, and root cause analysis
• Hands-on machine shop or mechanic experience (professional or hobby)
• RTCA DO-160, structural, or actuated mechanism testing experience
• Ability to thrive in startup, R&D, or defense innovation environments

$160,000 - $240,000 a year

XML job scraping automation by YubHub

We're looking for a Senior Staff Electromechanical Engineer to join our team, focused on the design and integration of avionics systems and driving designs from concept to production.

Responsibilities:

• Design complex electro-mechanical solutions for avionics packaging, electrical interconnects, thermal management, and aircraft integration
• Perform structural, preliminary thermal, and modal analyses for avionics to ensure survivability in harsh environments
• Ensure avionics meet performance, safety, environmental, and EMI/EMC compliance standards, including DO-160, DO-254, DO-178C, MIL-STD-810, and MIL-STD-461
• Own your design work from concept to reviews through system validation, failure analysis, and flight test readiness

Requirements:

• B.S. and/or MS in Mechanical/Aerospace Engineering
• 10+ years of experience in mechanical & electrical equipment design for aerospace, including harness integration and mechanical component design
• Expertise in CAD software (NX, SolidWorks, CATIA, or similar) for 3D modeling, drawing creation, and system layout
• Familiarity with eCAD software (Altium, Cadence, Allegro), and harness design software (Capital, Zuken)
• Experience working with electrical engineers to define PCB constraints, develop circuit cards, and care for all the mechanical interfaces
• Familiarity with the PCB layout process and advanced manufacturing methods
• Experience with finite element analysis (FEA), thermal analysis, and fatigue/lifecycle testing

Benefits:

• Pay within range listed ($166,632 - $249,948 a year)
• Bonus
• Benefits
• Equity

Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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In this role, you'll lead and contribute to the development of complex, mission-critical technologies while guiding a talented team to deliver at a high level. Blending hands-on technical work with leadership, you'll help drive innovation, solve challenging problems, and bring cutting-edge systems from concept to reality.

Functional Excellence:

Directly contribute to the design, analysis, and integration of mechanical systems and subsystems for V-BAT aircraft and ground support equipment, including payload integrations, avionics packaging, harnessing and connector selection, transport structures, and launch & recovery systems.

Establish and improve pragmatic mechanical engineering standards, templates, specifications, and best practices that increase design quality, reduce rework, and enable faster iteration.

Own mechanical engineering deliverables across the product lifecycle,from early concept and prototyping through test, production, and field support,with a bias toward execution and delivery.

Own failure mode analysis and reliability modeling for mechanical systems, establish lightweight, repeatable practices (e.g., FMEA, fault trees) that proactively identify risks, reduce field failures, and inform design tradeoffs.

Partner closely with Engineering, Manufacturing, Supply Chain, Quality, Program Management, and Flight Operations to ensure designs are buildable, testable, and reliable in real-world environments.

Provide hands-on technical support during ground and flight testing, demos, and field operations; rapidly troubleshoot and implement design fixes under tight timelines.

Team Leadership and Development:

Lead, mentor, and develop a team of mechanical engineers, providing technical guidance, regular feedback, and clear expectations for ownership and execution.

Recruit and hire experienced mechanical engineers to strengthen team capability, elevate technical standards, and improve mentorship depth.

Act as a player-coach: balance meaningful individual technical contribution with team leadership, design reviews, and day-to-day unblock of engineers.

Establish team norms around accountability, decision-making speed, and engineering rigor,ensuring high-quality output without slowing momentum.

Set clear priorities aligned with program goals; actively manage team bandwidth, identify risks early, and communicate tradeoffs to leadership.

Drive clear and concise technical communication, ensuring design decisions, assumptions, and tradeoffs are well-documented and understood across functions.

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This position is ideal for a mechanical or aerospace engineer with a passion for cutting-edge aircraft design, multi-disciplinary systems integration, and iterative prototyping in a fast-paced defense technology environment.

Responsibilities:

Assist in the conceptual and preliminary design of Shield AI's UAV platforms, ensuring optimal aerodynamic and structural configurations. Support aircraft sizing, weight estimation, and trade studies to evaluate different airframe configurations. Work with multi-disciplinary engineering teams (mechanical, electrical, propulsion, avionics) to ensure seamless system integration. Develop and refine 3D CAD models of aircraft structures, subsystems, and flight-critical components. Perform basic aerodynamic and structural analysis using computational tools to assess feasibility and performance impacts. Participate in design reviews, system trade studies, and prototype development efforts. Support rapid prototyping and wind tunnel testing of scaled models to validate design concepts. Assist in requirements development, documentation, and verification planning for aircraft subsystems. Ensure designs comply with manufacturing feasibility, mission requirements, and aerospace industry standards. Work closely with manufacturing and production teams to transition designs from concept to prototype and full-scale production.

Required qualifications:

Bachelor's degree in Aerospace, Mechanical, or Systems Engineering (or related field). 5 years of experience in aircraft design, configuration layout, or airframe integration. Proficiency in CAD modeling (NX, SolidWorks, or similar) for airframe and structural design. Basic understanding of aircraft aerodynamics, structures, and propulsion system integration. Ability to perform basic FEA, CFD, or weight & balance assessments. Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams. Excellent communication and technical documentation skills. Active Secret clearance

Preferred qualifications:

Master's degree in Aerospace, Mechanical, or Systems Engineering (or related field). Experience with unmanned aerial vehicle (UAV) design or aircraft conceptual design. Familiarity with aircraft performance modeling, stability & control, and flight dynamics. Hands-on experience with rapid prototyping, wind tunnel testing, or flight hardware development. Knowledge of manufacturing techniques, composite materials, and aerospace structural design principles. Experience working in a fast-paced, high-tech startup or defense environment. Active TS clearance or ability to gain a TS clearance.

$136,730 - $205,096 a year

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As a key contributor on the Mechanical Engineering team, you will design and develop high-performance structural components from concept through production release.

You'll work cross-functionally to ensure structural integrity, manufacturability, and system integration across one of the most advanced autonomous aircraft platforms being built today.

This role is ideal for an aerospace mechanical engineer who thrives in hands-on design environments and is eager to take increasing ownership of flight-critical designs.

Responsibilities:

• Design and develop structural components and assemblies for Shield AI's next-generation UAV platform, supporting both primary and secondary aircraft structures.

• Execute all stages of the design lifecycle including conceptual development, initial CAD modeling, detailed design, and drawing release.

• Perform hand calculations for stress or strain with limited basic FEA analysis, with guidance from senior engineers as needed.

• Collaborate closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to support system integration across airframe interfaces.

• Support structural validation efforts including coupon testing, subcomponent testing, and system-level verification.

• Generate high-quality design documentation, drawings, interface definitions, and analysis reports in compliance with aerospace standards.

• Partner with manufacturing and flight test teams to resolve build issues and support hardware through test and deployment.

• Participate in design reviews and technical discussions, presenting work clearly and incorporating feedback effectively.

• Continuously improve personal technical depth in structural layout, joints, fasteners, tolerancing, and structural optimization.

Requirements:

• Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline.

• 4–5+ years of experience in aircraft structural design or closely related aerospace structures.

• Experience designing and releasing structural components in development or production environments.

• Working knowledge of composite and metallic structures, including fasteners, bonded joints, and load paths.

• Proficiency in CAD tools (NX, CATIA, SolidWorks, or similar).

• Understanding of GD&T, tolerance stackups, and DFMA principles.

• Strong written and verbal technical communication skills.

• Demonstrated ability to operate in fast-paced, high-ownership engineering environments

Preferences:

• M.S. degree in Aerospace or Mechanical Engineering.

• Experience supporting UAV, DoD, or aerospace vehicle programs.

• Familiarity with aerospace standards (MIL-STD, ASME Y14.5, FAA).

• Experience supporting hardware through test, failure analysis, and design iteration.

• Exposure to composite design and manufacturing methods.

• Experience using FEA tools (ANSYS, Abaqus, NASTRAN, or similar) for linear structural analysis

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As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

Key responsibilities include:

• Leading the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Owning the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Using FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Working closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Supporting and leading efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participating in and leading design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Overseeing the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guiding the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentoring junior engineers and reviewing team members' work for technical rigor, performance, and manufacturability.

• Collaborating with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identifying opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Required qualifications include:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred qualifications include:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

Salary: $166,632 - $249,948 a year

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You will work closely with the director of engineering to support collaboration across engineering sites, align technical leaders, create mentorship opportunities for junior engineers, and assist in leveling engineering resources across vehicles and programs.

Key responsibilities include:

• Supporting design reviews by providing feedback and signoff
• Scoping resources to support aircraft development
• Assigning individuals to projects and rebalancing needs as required
• Creating processes and documentation that guide the development of systems

Required qualifications include:

• B.S. in Mechanical/Aerospace Engineering
• Demonstrable and successful leadership experience including hiring, budgeting, and team management
• 7+ years in mechanical or mechanism design
• Strong CAD skills (NX preferred)
• Kinematic analysis and optimization
• Structural analysis utilizing hand calculations and finite element methods
• FEA analysis: Modal, non-linear and linear, buckling, fatigue
• GD&T and tolerance stack-ups for mechanical systems
• Materials selection inclusive of alloys, heat treatments, allowables, and finishes
• Ability to work independently and lead in fast-paced, cross-functional teams

Preferred qualifications include:

• Experience with UAVs, aircraft, or robotic systems
• Familiarity with electro-mechanical actuators
• Proficiency in FMEA, DOE, and root cause analysis
• Hands-on machine shop or mechanic experience (professional or hobby)
• RTCA DO-160, structural, or actuated mechanism testing experience
• Ability to thrive in startup, R&D, or defense innovation environments

This role offers a competitive salary range of $152,802 - $229,202 per year, plus bonus, benefits, and equity.

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Your contributions will be critical in advancing the capabilities of our intelligent systems used in high-stakes defence applications.

Key responsibilities include:

Developing innovative structural designs for aircraft and UAVs, focusing on airframes, support structures, and load-bearing components.

Utilising advanced CAD software to create detailed models and drawings, ensuring all designs meet specified requirements.

Performing structural analysis using Finite Element Analysis (FEA) tools to evaluate performance under various conditions and loads.

Creating and executing comprehensive testing plans to validate the strength, durability, and performance of structural components.

Conducting stress, fatigue, and environmental testing to ensure compliance with industry standards.

Diagnosing and resolving structural issues, utilising both experimental data and analytical methods.

Working closely with multidisciplinary teams, including aerodynamics, materials science, and manufacturing, to ensure cohesive and efficient designs.

Coordinating with the electrical and systems engineering teams to integrate structural components seamlessly into overall system designs.

Engaging in design reviews and providing constructive feedback to improve design processes and outcomes.

Preparing detailed documentation, including design specifications, analysis reports, and test results.

Ensuring all designs comply with relevant regulatory standards and industry best practices, such as FAA and MIL-STD requirements.

Maintaining accurate records of design changes, test procedures, and product iterations.

Staying updated with the latest advancements in materials, manufacturing techniques, and structural design methodologies.

Proposing and implementing design optimisations to enhance performance, manufacturability, and cost-effectiveness.

Participating in R&D initiatives to explore new technologies and innovative solutions for structural challenges.

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As a Senior Staff Structural Analyst, you will lead structural analysis efforts for UAV airframes, major substructures, and critical components within a program scope. You will define and execute finite element modeling approaches, load cases, assumptions, and margin assessments. You will perform and oversee static, modal, fatigue, vibration, and damage-tolerance analyses.

Key responsibilities include establishing sound practices for hand calculations, model validation, and analysis-to-test correlation; driving structural optimization across performance, weight, cost, and manufacturability targets; and supporting structural test strategy, including defining requirements, participating in execution, and correlating results to analysis.

You will also review structural analysis deliverables, test reports, and technical documentation for design reviews; mentor and technically guide structural analysts across varying experience levels; and partner cross-functionally with design, loads, aero, propulsion, and systems teams to balance structural requirements with overall aircraft performance goals.

Required qualifications include a B.S. in Mechanical Engineering, Aerospace Engineering, or related field; 12+ years of experience in structural analysis, aircraft structures, or aerospace systems; strong expertise with FEA tools (ANSYS, NASTRAN, HyperWorks, or similar); and advanced proficiency in hand calculations for strength, stability, fatigue, and damage tolerance.

Preferred qualifications include a Master's or Ph.D. in Mechanical or Aerospace Engineering; experience serving as a senior technical lead on aircraft or UAV structural programs; hands-on involvement in flight test support and certification efforts; and experience contributing to internal analysis standards or best practices.

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This role is hands-on, detail-oriented, and highly cross-functional - requiring close collaboration with propulsion REs, technicians, machinists, production, controls, airframe, and flight test teams.

Responsibilities:

• Own the design and release of propulsion hardware supporting the engine, fuel, oil, and bleed air systems.
• Develop and maintain CAD models, drawings, and assemblies using Siemens NX with proper GD&T.
• Translate propulsion architecture and requirements into hardware that is manufacturable, testable, and robust in flight.
• Work directly with the machine shop, production, and technicians to support builds, resolve non-conformances, and drive iterative improvements.
• Support test campaigns by providing hardware design support, instrumentation accommodation, and rapid iteration based on test findings.
• Apply engineering judgment and analysis (e.g., hand calcs, ANSYS, FEA, GFSSP, REFPROP) to support sizing, load cases, and design validation.
• Support configuration management, BOM control, and change processes using Teamcenter or equivalent PLM.
• Participate in design reviews, interface control efforts, and root cause investigations related to propulsion hardware.

Requirements:

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline.
• 5+ years of experience in aerospace hardware design, preferably supporting propulsion systems.
• Proficiency in CAD modeling and drawing creation (NX preferred) with sound application of GD&T.
• Experience working directly with production, technicians, and machine shops to resolve real-world build issues.
• Understanding of design for manufacturing, including machining limitations, tolerance stack-ups, and assembly workflows.
• Some hands-on experience developing assembly guidance and supporting hardware builds and test integration.
• U.S. Citizenship or ability to comply with ITAR requirements.

Preferences:

• Experience with jet propulsion systems on UAVs or tactical aircraft.
• Familiarity with GFSSP, REFPROP, ANSYS, or FEA to support design trade studies and validation.
• Ability to write Python scripts for design automation, analysis, or data processing.
• Experience with interface control, fastener selection for high-vibration environments, and high-temperature materials.
• Experience designing hardware in test-driven development environments with rapid iteration cycles.
• M.S. in Aerospace Engineering or a related discipline.

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You will contribute to the design, analysis, testing, and optimization of airframe structures and components, ensuring they meet performance, weight, and safety requirements.

This role is ideal for engineers with 7+ years of experience looking to gain expertise in finite element analysis (FEA), composite materials, mechanical testing, and aircraft loads analysis in a fast-paced, high-tech aerospace environment.

Responsibilities:

Assist in building and refining finite element models (FEM) to evaluate the structural performance of UAV components.

Perform static, modal, fatigue, and vibration analyses to assess stress, deformation, and durability.

Conduct hand calculations to validate FEA results, ensuring accuracy and structural reliability.

Work with design engineers to optimize airframe structures, balancing weight, strength, and manufacturability.

Support the development of test plans for structural validation, including quasi-static, vibration, and shock testing.

Analyse flight telemetry and structural test data to improve modeling accuracy and correlate predictions with real-world performance.

Assist in defining load cases, material properties, and design margins for UAV airframe and mechanical components.

Document and present structural analysis reports and technical recommendations to engineering teams.

Collaborate with cross-functional teams to ensure structural requirements align with system performance goals.

Contribute to the continuous improvement of structural analysis methodologies, tools, and best practices.

Required qualifications:

B.S. in Mechanical Engineering, Aerospace Engineering, or related field.

7+ years of experience in structural analysis, finite element modeling, or aircraft loads analysis.

Experience with FEA tools (ANSYS, NASTRAN, HyperWorks, or similar).

Strong ability to perform hand calculations for structural strength, stability, and fatigue analysis.

Knowledge of composite materials and lightweight aerospace structures.

Familiarity with mechanical testing methods (static, vibration, and fatigue).

Proficiency with data analysis tools (Excel, MATLAB, Python, or similar).

Strong problem-solving skills, attention to detail, and ability to work in a team environment.

Preferred qualifications:

Master’s degree in Mechanical or Aerospace Engineering.

Experience in aircraft structural design, UAV airframe development, or aerospace testing.

Hands-on experience with structural testing, modal analysis, or composite modeling.

Exposure to CAD software (NX, SolidWorks) and PLM tools (Teamcenter or similar).

Understanding of aerospace industry standards, structural certification processes, and material selection.

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As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.

• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Qualifications:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred Qualifications:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

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This role is hands-on, analysis-driven, and highly cross-functional,requiring collaboration with design, fluids, controls, airframe, manufacturing, flight test, and mission teams.

Responsibilities: Act as the single-threaded owner for the engine, accountable for all technical decisions from concept to flight. Define and manage engine requirements, interfaces, integration strategy, and performance goals. Lead ground and flight testing of the engine, including instrumentation planning, data acquisition, and analysis of key performance parameters (thrust, fuel flow, margin, transients). Analyse engine performance data across the flight envelope to validate behaviour, identify anomalies, and close design-to-mission gaps. Collaborate with airframe, controls, and mission engineering teams to ensure engine integration supports aircraft-level CONOPS, manoeuvrability, and reliability. Own engine-level fault management, failure investigations, and margin assessments. Guide the development of engine control logic and tuning, including throttle schedule design and transient response shaping. Represent the engine in design reviews, technical readiness checkpoints, leadership briefings, and customer engagements.

Required qualifications: Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. 5+ years of experience in jet engine development, testing, and integration. Demonstrated ownership of engine hardware through test and flight operations. Strong knowledge of aerospace engine fundamentals, including thermodynamic cycles, thrust modelling, operability limits, and transient response. Hands-on experience in engine testing, including sensor planning, data systems, and test execution. Proficiency in Python for performance analysis, data reduction, and model correlation. U.S. Citizenship or ability to comply with ITAR requirements.

Preferred qualifications: Experience with low-bypass turbofan engines on UAVs, tactical aircraft, or similar aerospace platforms. Familiarity with GFSSP, REFPROP, ANSYS, or FEA to support performance modelling and test correlation. Experience with engine control development, feedback tuning, and transient validation. Background in rocket engine development with transferable test or turbomachinery experience. Proficiency with Siemens NX and Teamcenter for interface review and configuration context. M.S. in Aerospace Engineering or a related discipline.

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You will serve as the focal point for all technical matters related to thrust vectoring, ensuring the system enables precise flight control authority, integrates cleanly with the engine and airframe, and performs reliably across the full range of operational conditions. This role is hands-on, data-driven, and highly cross-functional, requiring collaboration with controls, airframe, flight test, and mission teams.

Responsibilities:

• Act as the single-threaded owner for the TVC system, accountable for all technical decisions from concept to flight.
• Define and manage system requirements, performance goals, and mechanical/electrical interfaces.
• Design and integrate vectoring mechanisms with the engine and surrounding structure.
• Lead ground and flight testing of the TVC system, including instrumentation planning, data collection, and performance evaluation.
• Analyze control authority, vectoring bandwidth, and dynamic response across the flight envelope.
• Collaborate with the controls team to shape vectoring logic and ensure closed-loop system performance meets CONOPS requirements.
• Own fault management, failure investigations, and system reliability strategies.
• Represent the TVC system in design reviews, technical checkpoints, customer briefings, and leadership updates.

Qualifications:

• Bachelor's degree in aerospace engineering, Mechanical Engineering, or a related discipline.
• 7+ years of experience in aerospace propulsion or flight control systems, with relevant experience owning subsystem development.
• Deep understanding of nozzle dynamics, actuation systems, mechanical integration, and structural/thermal constraints.
• Demonstrated experience in hardware development, test planning, and flight test support.
• Strong proficiency in Python for performance analysis, data processing, and model correlation.
• Familiarity with tools such as ANSYS, FEA, or thermal/fluid modeling for mechanism and system validation.
• U.S. Citizenship or ability to comply with ITAR requirements.

Preferred Qualifications:

• Experience with TVC or control effector systems on UAVs, tactical aircraft, or rocket platforms.
• Familiarity with low-bypass turbofan engines and integration constraints near hot-end propulsion hardware.
• Experience collaborating on control logic development, transient response shaping, and actuator tuning.
• Proficiency with Siemens NX and Teamcenter for CAD and configuration control.
• Background in failure modes analysis, margin modeling, and system validation strategies.
• M.S. or Ph.D. in Aerospace Engineering or a related discipline.

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We are seeking a Senior Engineer, Mechanical Design to support the design, development, and testing of systems that expand and scale V-BAT's operational capabilities. This role contributes to the creation of robust, field-deployable systems that enable aircraft operations, maintenance, and sustainment in military environments.

You will apply strong mechanical design fundamentals to develop reliable, manufacturable hardware while collaborating closely with engineering, manufacturing, and flight operations teams.

Responsibilities:

• Design and develop mechanical systems and subsystems for V-BAT, including payload integrations, propulsion-related components, transport structures, and launch & recovery support equipment.
• Create detailed CAD models, drawings, and release packages for manufacturing and assembly.
• Perform structural, thermal, and fatigue analyses to validate performance in rugged field environments.
• Support integration efforts across aircraft systems and mission operations teams.
• Conduct trade studies to optimize weight, durability, manufacturability, and maintainability.
• Support prototype builds, testing, and validation efforts to meet aviation and military standards.
• Develop technical documentation including test plans, procedures, and field support materials.
• Partner with suppliers and manufacturing teams to ensure design intent, cost targets, and production readiness.
• Provide engineering support during ground and flight test operations as needed.

Qualifications:

• 5 years of experience in mechanical design for aerospace, ground support equipment, or related ruggedized hardware systems.
• Proficiency in CAD software (SolidWorks, CATIA, NX, or similar) for 3D modeling and drawing creation.
• Strong foundation in structural design, material selection, and manufacturing processes.
• Experience designing hardware for field, transport, or operational environments.
• Familiarity with engineering analysis methods such as FEA, thermal analysis, and fatigue evaluation.
• Ability to work effectively in a fast-paced development environment with evolving priorities.

Preferred Qualifications:

• Experience supporting UAS or military aircraft systems.
• Familiarity with MIL-STD requirements and environmental qualification testing.
• Exposure to power distribution, hydraulics, or aerospace support systems.
• Experience working with external suppliers or contract manufacturers.
• Active Secret or Top Secret clearance (or ability to obtain one).

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As a contributor on the Structures team, you will lead the design and develop high-performance structural components from concept through production release.

You'll work cross-functionally to ensure structural integrity, manufacturability, and system integration across one of the most advanced autonomous aircraft platforms being built today.

This role is ideal for an aerospace engineer with significant hands-on design experience with both composite or metallic airframes as well as demonstrated team lead experience.

Responsibilities:

• Lead the design and development of high-performance structural components from concept through production release
• Work cross-functionally to ensure structural integrity, manufacturability, and system integration
• Collaborate with cross-functional teams to ensure successful project execution
• Develop and maintain technical documentation and reports

Qualifications:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or related discipline
• 8+ years of experience in aircraft structural design or closely related aerospace structures
• Experience with team leadership as a project or IPT style team lead
• Experience designing and releasing structural components in development or production environments
• Working knowledge of composite and metallic structures, including fasteners, bonded joints, and load paths
• Proficiency in CAD tools (NX, CATIA, SolidWorks, or similar)
• Understanding of GD&T, tolerance stackups, and DFMA principles
• Strong written and verbal technical communication skills

Preferred Qualifications:

• M.S. degree in Aerospace or Mechanical Engineering
• Experience supporting UAV, DoD, or aerospace full vehicle programs
• Familiarity with aerospace standards (MIL-STD, ASME Y14.5, FAA)
• Experience fabricating and testing large scale aerospace structures such as wings, fuselages or similar
• Demonstrated understanding of composite manufacturing methods
• Experience using FEA tools (ANSYS, Abaqus, NASTRAN, or similar) for linear structural analysis

Salary and Benefits:

$150,000 - $220,000 a year

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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Your primary focus will be on ensuring test results accurately characterise engine and subsystem performance, de-risk integration, and inform flight readiness decisions. This role is hands-on, data-driven, and highly cross-functional, requiring close collaboration with propulsion engineers, design engineers, technicians, controls, airframe, and flight test teams.

Key responsibilities include:

• Owning the propulsion test program from requirements through execution, data review, and test-to-flight handoff.
• Architecting, designing, analysing, and building test stands and fixtures for engine, fuel, oil, bleed air, and TVC-related testing.
• Defining and implementing instrumentation plans, DAQ architecture, calibration methods, and test procedures.
• Leading ground test campaigns, including performance mapping, transient response, and edge-of-envelope testing.
• Analysing test data to validate performance, identify anomalies, and drive design or control updates.
• Partnering with propulsion REs and controls engineers to ensure test coverage closes risk against CONOPS and mission profiles.
• Driving root cause investigations for test anomalies and implementing corrective actions.
• Authoring test plans, reports, and readiness reviews; representing propulsion test in design and flight readiness reviews.

Requirements include a Bachelor's degree in Aerospace Engineering or a related engineering discipline, 5+ years of experience in propulsion or engine testing in aerospace development environments, and hands-on experience with engine test cells, test stand design, instrumentation, and DAQ systems.

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This is a multi-level role where the level of responsibility is tailored to the candidate. You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.
• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.
• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.
• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.
• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.
• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.
• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.
• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.
• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.
• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.
• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Requirements:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.
• 2+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.
• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.
• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).
• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.
• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.
• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.
• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferences:

• M.S. degree in Aerospace or Mechanical Engineering.
• NX CAD experience
• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.
• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.
• Prior experience in flight vehicle integration, manufacturing liaison, or production support.
• Familiarity with model-based engineering, digital twin development, or configuration management tools.
• Demonstrated experience in failure analysis, design iteration, and test correlation.
• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

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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

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The ideal candidate will have a strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly, and experience working in a fast-paced, high-pressure environment. They will also be able to work cross-functionally with Manufacturing, Quality, and Safety to deliver robust tooling that supports pilot builds through rate production.

The salary for this role is $120,000 - $190,000 a year, with a full-time regular employee offer package including pay within range listed, bonus, benefits, and equity.

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Your key responsibilities will include planning and executing mechanical, structural, and environmental tests on ASV components and full systems, developing test procedures, fixtures, instrumentation setups, and data acquisition systems, analysing test results to identify design weaknesses, material limitations, or integration issues, collaborating with design, electrical, and software teams to close feedback loops and iterate quickly, assisting in field testing campaigns, including at-sea trials and system deployments, documenting test plans, reports, and technical findings for internal use and DoD compliance, and supporting root-cause analysis and troubleshooting during development and production.

To succeed in this role, you will need a BS or MS in Mechanical Engineering, Aerospace Engineering, or a related field, 3+ years of experience in mechanical testing, validation, or systems integration, preferably in defence, marine, aerospace, or robotics industries, a strong understanding of structural mechanics, materials, failure modes, and environmental testing standards, experience with mechanical instrumentation, strain gauges, accelerometers, and data acquisition systems, proficiency in CAD (e.g., SolidWorks) and basic FEA tools for stress and modal analysis, hands-on skills with test setup, mechanical assembly, and fabrication tools, comfort working in lab, dockside, or field environments, strong written and verbal communication skills, US Citizenship, and eligibility for DoD security clearance.

In return, you can expect a competitive salary, industry-standard salaries with opportunities for performance-based bonuses, medical insurance, dental and vision insurance, time off, parental leave, retirement plan, stock options, life and disability insurance, and additional perks such as free lunch benefit and unlimited free drinks and snacks in the office.

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Responsibilities:

Design, analyze, and optimize composite structures for autonomous maritime platforms (hulls, decks, enclosures, etc.) Create 3D CAD models and 2D manufacturing drawings using tools like SolidWorks, Siemens NX, and Fibersim Perform hand calculations to design and size laminates using CLT tools Work closely with naval architects, mechanical engineers, and autonomy teams to integrate composite structures with vessel systems Define material specifications and work with suppliers to source appropriate composite materials to include NCFs, resin systems, adhesives, and core materials Develop manufacturing plans and collaborate with in-house and external fabricators to support prototype and production builds Ensure compliance with MIL-STD and DoD structural integrity, weight, and signature management requirements Drive design-for-manufacturing (DFM) and design-for-assembly (DFA) principles Support testing, validation, and qualification of composite assemblies in lab and marine environments

Qualifications:

Bachelor’s degree or greater in Mechanical Engineering, Aerospace Engineering, Naval Architecture, or a related field 2+ years of experience in composite structural design (aerospace, marine, automotive, or defense) Strong understanding of composite materials (carbon fiber, fiberglass, resin infusion, etc.) and layup techniques Experience with CAD and FEA software (e.g., Femap (Preferred), ANSYS, Abaqus) Knowledge of mechanical testing, structural validation, and failure analysis of composite systems

Benefits:

Medical Insurance: Comprehensive health insurance plans covering a range of services Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

Prolonged periods of sitting at a desk and working on a computer Occasional standing and walking within the office Manual dexterity to operate a computer keyboard, mouse, and other office equipment Visual acuity to read screens, documents, and reports Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

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We are building a global operating network that finally enables supply-chain companies to collaborate within one platform. Our workflow engine empowers non-technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. And our upcoming AI engine can generate entire new processes and summarize the complex goings-on across thousands of workflows, identifying inefficiencies and driving optimization as companies react to a constantly-shifting global landscape.

As an SRE you will have the opportunity to shape our developer platform, work directly with customers, and architect solutions that balance the rigorous security and reliability requirements of global enterprises with the speed and flexibility of a rapidly growing series A organization.

Responsibilities

• Contribute to SRE-owned portions of application codebases related to infrastructure clients, SaaS clients, observability, and reliability patterns.
• Contribute to the developer platform interfaces to enable a growing number of engineers, microservices, and environments (helm charts, CI platform, and deploy processes).
• Advocate for new tools and processes that will help Regrello grow.
• Take part in on-call rotations.
• Collaborate with cross-functional teams, including Development, QA, Product Management, to ensure successful releases.

Stack

• GCP: GKE, CloudRun, Memorystore, CloudSQL, BigQuery
• Kubernetes: helm, helmfile
• Automation: Terraform, shell
• Queue: Temporal, Machinery, Celery
• Launchdarkly
• Otel / Prometheus / Grafana / Splunk

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 4-8 years of experience in site reliability, software engineering, or a related role.
• Strong understanding of software development lifecycle (SDLC) and Agile methodologies.
• Experience with CI/CD tools such as Github Actions, GitLab CI, or CircleCI.
• Proficiency in scripting languages for automation tasks.
• Fluency with cloud platforms (AWS, Azure, GCP), kubernetes, feature flags, and modern backend technologies (experience with Go is strongly preferred, with the ability to quickly learn new technologies as needed).
• A builder’s spirit (you have a track record of building projects for fun, staying updated with open-source developments, etc.)
• Excellent problem-solving and communications skills, and attention to detail, with the ability to work effectively in a remote team environment.

Culture and Compensation

We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and New York, but we will consider candidates who live anywhere in the US, Canada, or Mexico. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.

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Role: As an SRE at Regrello, you will oversee release management across a growing fleet of SaaS and customer environments. You will collaborate with various teams to ensure that Regrello releases are efficient, consistent, and high-quality, enabling us to scale our engineering and product teams to deliver more features.

Some of the projects the team is working on include becoming cloud-neutral by turning all application infrastructure clients into plugins, helping our AI team manage GPU infrastructure to train new foundational models, and applying changes to our architecture to increase reliability.

Culture and Compensation: We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.

Responsibilities

• Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
• Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.
• Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.
• Debugging, troubleshooting, and reducing operational burden for our Data Platform.
• Growing the team via mentorship and leadership, reviewing technical documents and code changes.

Qualifications

• 5+ years of software engineering experience
• Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.
• Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.
• Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.
• Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.
• Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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