As an Engineering Manager, you will be part of the Discovery team in the Guest Experience department. The team is responsible for designing and maintaining the list page of our website, ensuring users can easily find the best vacation rental from our search results.

Your contributions will help create a seamless and joyful journey for travellers, which will result in increasing conversion rates and customer satisfaction.

Your team will consist of frontend & backend engineers (direct reports), a project manager and a QA engineer.

You'll work closely with the Ranking, Conqueror, and Marketing teams, which manage the machine learning models for property ranking on the list page, booking systems, and Holidu's marketing efforts. Together, you'll ensure a seamless and cohesive user experience.

Our Tech Stack

• Frontend: Typescript and NodeJS processes in Kubernetes. We use ReactJS, Zustand and TailwindCSS on the client and Express on the server.

• Backend: Java 17/21, Kotlin (Spring Boot).

• Infrastructure: Microservices architecture deployed on AWS Kubernetes (EKS).

• Data Management: PostgreSQL, Redis, Elasticsearch 7, Redshift (part of a data lake structure).

• DevOps Tools: AWS, Docker, Jenkins, Git, Terraform.

• Monitoring & Analytics: ELK, Grafana, Looker, Opsgenie, and in-house solutions.

Your role in this journey

• Lead a high-performing cross-functional team, focusing on product innovation, infrastructure reliability, delivery speed, quality, engineering culture, and team growth.

• Ensure your team delivers applications that are highly scalable, highly available, and capable of handling high traffic of up to 1 million unique users per day.

• Support team growth through regular feedback, mentorship, and by recruiting exceptional engineers.

• Work closely with product management, product design, and stakeholders to define the team's goals (OKR’s) and roadmap.

• Collaborate with peers, staff engineers, and other stakeholders to drive strategic technology decisions.

• Lead strategic team-driven projects, identify opportunities, define and uphold quality standards.

• Foster a great team culture aligned with the company values, ownership, autonomy, and inclusivity within your team and the entire department.

• Take full responsibility for delivering impactful features to millions of users annually.

The role includes dedicating approximately 40-50% of the time as an individual contributor focused on feature implementation.

Your backpack is filled with

• A bachelor's degree in Computer Science, a related technical field or equivalent practical experience.

• Experience building and implementing backend services and/or frontend applications.

• Experience providing technical leadership (e.g., setting goals and priorities, architecture design, task planning and code reviews).

• Experience as a people manager with the ability to build an excellent team culture based on mutual respect, empathy, learning and support for each other.

• Love for building world-class products with a great user experience.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters,and you’ll see the impact.

• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets,with a strong focus on AI.

• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts,people we can all relate to,making work meaningful and energizing.

• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

• Competitive Package: 95.000-125.000€ + VSOPs based on relevant experience and seniority , learn more about our approach to compensation here.

• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized,but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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The successful candidate will focus on a Private Credit buildout, with particular emphasis on equities and options, and on integrating with third-party platforms such as Murex and ION. They will design, develop, and maintain Java-based services that support a real-time trade capture platform for our autocallable buildout, and build and support Kafka-based streaming pipelines to process, normalize, and distribute trading and reference data to downstream systems.

Key responsibilities include collaborating closely with portfolio managers, traders, operations, and risk teams to understand requirements and translate them into robust technical solutions, contributing to the architecture and design of low-latency, high-availability components, including multithreaded and distributed systems, and monitoring, troubleshooting, and resolving production issues related to trading workflows, data integrity, and system performance.

We are looking for a highly skilled and experienced software engineer with a strong background in Java, Kafka, and front-end technologies using Typescript/Javascript, in this role you'll be using Angular. You should have a solid understanding of object-oriented design, design patterns, and multithreading in distributed systems, and hands-on experience with unit testing and integration testing frameworks and best practices.

In addition, you should be familiar with CI/CD pipeline (Jenkins) and DevOps tools/practices (e.g., Git, build tools, automated testing, deployment automation), experience with SQL databases such as Postgres and SQLServer, and comfort with modern IDEs and developer productivity tools; openness to using AI-assisted development tools and modern developer workflows.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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At Equity IT, we are modernizing the way the firm interacts with its order flow and trading tools. As a Technical Product Manager for our Next-Gen UI Platform, you will be the critical link between internal stakeholders (trading desks, risk managers, middle office, and other operational teams) and the UI engineering team.

Working closely with UI Engineering and its leadership, you will help build and evolve an extensible UI component library that serves as the set of building blocks for a cohesive user experience across all of Equity IT's internal UIs.

You will partner with business SMEs across the firm to translate UI and business requirements into clear, functional product requirements for engineers.

You will own and refine a central backlog of UI requests, perform gap analyses on the component library, and produce a product roadmap that balances quick wins with long-term strategic adoption.

In this role, you will support the delivery of new UIs and features end-to-end, acting as the primary liaison for product updates, timelines, and priorities with internal stakeholders.

You will also coordinate with backend and platform teams to ensure the right services and data are in place to support new UIs and use cases.

This role is pivotal in shaping Equity IT's next-gen UI strategy and improving the efficiency and consistency of users' day-to-day workflows across the firm.

Key Responsibilities:

• Develop a product strategy for the next-gen internal UI platform and component library used across trading and related functions.

• Maintain a product roadmap that balances near-term deliverables with long-term strategic goals and broad adoption.

• Own and manage the UI product backlog in close partnership with engineering, project management, and stakeholders.

• Work with the UI Engineering team to create and evolve an extensible, reusable UI component framework, optimizing for a familiar, consistent UX across disparate screens and business areas.

• Perform gap analyses to identify missing or underutilized components and drive their design, prioritization, and implementation.

• Develop and maintain strong, trust-based relationships with internal users so they are comfortable bringing pain points and ideas to you.

• Evangelize the UI platform and component library within the firm, ensuring stakeholders are aware of new capabilities and best practices.

• Translate business and workflow needs into clear, actionable product requirements with an emphasis on usability, performance, and workflow efficiency.

• Balance and negotiate competing priorities across stakeholders and work with teams across Trading Technology and other internal platforms to deliver new tools and features.

• Collaborate with product managers and UX/design partners supporting other areas to enable a unified UI strategy and seamless workflows across all internal tools

Skills Required:

• 8–10+ years of experience as a Product Manager or Technical Product Manager building complex internal or enterprise applications; experience with trading technology UIs is strongly preferred.

• Professional work experience with Figma in an enterprise level environment with respect to workflows and information layout, prototyping complex interactions, defining information hierarchy, standardizing components, and similar.

• Experience working in or closely with front-office or high-intensity operational environments (for example, trading, risk, analytics, operations, or analogous environments in other industries such as fintech, SaaS, or data-heavy platforms).

• Demonstrated experience defining and delivering UI platforms or component libraries/design systems in partnership with engineering (and ideally UX/design).

• Strong technical fluency and the ability to work closely with UI engineers and backend/platform teams on data, performance, and integration considerations

• Proven ability to translate complex business workflows into intuitive, cohesive user experiences and detailed product requirements.

• Entrepreneurial mindset; able to operate autonomously, drive structure in ambiguous environments, and influence without direct authority.

• Comfortable navigating ambiguity and thriving in a lean, fast-paced environment with many stakeholders and competing priorities.

Meaningful Differentiators:

• Experience with latest CSS styling libraries/capabilities

• Typescript/React

• HTML5 technologies

Salary Range: $175,000 to $250,000

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Are you ready to shape the future of travel tech at scale? We are seeking an exceptional Staff Frontend Developer to drive technical excellence across our entire booking funnel.

We're among the leading travel tech companies worldwide, growing substantially and sustainably year after year, with a mission to make vacation home booking and hosting decisions stress-free and packed with joy.

Our vibrant team of over 600 talented individuals from 60+ countries shares a passion for cutting-edge technology, constant improvement, and creating exceptional experiences for our 50,000 hosts and 100 million website users each year.

Your Future Team

As a Staff Frontend Engineer, you'll be the technical authority across all teams in the booking funnel , from the Discovery team's list pages all the way through the checkout funnel to the Post Booking experience.

You'll design and implement overarching frontend architecture that scales to handle millions of users, while establishing best practices that elevate the entire engineering department.

Our Tech Stack

• Core Technologies: TypeScript, ReactJS, NodeJS, Zustand, TailwindCSS, Express, Vite, SSR.
• Data Infrastructure: DynamoDB, Redis.
• Cloud & DevOps: AWS, Kubernetes, Docker, Jenkins, Git.
• Monitoring & Analytics: Sentry, ELK, Grafana, Looker, OpsGenie, and internally developed technologies.

Technical Leadership & Strategy

• Define the technical vision and strategy for the frontend engineers of GX department, aligning with organizational goals and anticipating industry trends.
• Architect scalable, high-availability frontend systems serving 1M+ daily users across the entire booking funnel.
• Lead the design and implementation of department-wide technical initiatives that impact conversion rates, customer satisfaction, and technical excellence.

Cross-Team Collaboration & Influence

• Partner with Engineering Managers and Department Leaders to shape the technical roadmap.
• Contribute to specifications for large-scale projects, organizing parallel workstreams that reassemble into cohesive launches.

Technical Excellence & Innovation

• Establish, iterate on, and enforce engineering best practices (testing, documentation, architecture) department-wide.
• Review code and set quality standards that become the gold standard across teams.

Mentorship & Knowledge Leadership

• Mentor senior developers, helping them grow into technical leaders.
• Lead department-wide knowledge sharing initiatives and technical workshops.

Your Backpack is Filled with

• 8+ years of frontend development experience with deep expertise in JavaScript (ES6+), TypeScript, and ReactJS.
• Proven track record of architecting large-scale frontend applications handling millions of users.
• Expert-level proficiency with state management, performance optimization, and modern build tools.

Leadership & Strategic Thinking

• Demonstrated ability to define and execute technical strategies at department or company level.
• Experience leading cross-functional initiatives and influencing without direct authority.

Business & Domain Knowledge

• Ability to connect technical decisions to business KPIs and department goals.
• Experience working closely with product and business stakeholders at all levels.

Our Adventure Includes

• Strategic Impact: Shape the technical direction of a rapidly growing travel tech leader.
• Technical Excellence: Work with cutting-edge technologies and influence architectural decisions.
• Leadership Growth: Lead initiatives that impact millions of users and mentor the next generation of engineers.

Want to Travel with Us?

Take a peek into our culture on Instagram @lifeatholidu and check out Tech at Holidu to meet the people behind the product.

Apply now and let’s make vacation dreams come true – at scale.

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

Responsibilities:

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideal Candidate:

• Bachelor's degree in Computer Science or a related quantitative field
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to Have:

• Proficient in Arabic
• Experience working cross functionally with operations
• Experience building solutions with LLMs

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This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners. You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions.

If you like shipping fast, owning outcomes, and working across the stack,from polished frontends to distributed backends to LLM integrations,this role is for you.

Responsibilities

• Own major full-stack product areas, driving features from concept and design through production deployment
• Build intuitive, high-performance frontend experiences using React + TypeScript
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems
• Ship quickly through tight experimentation loops while maintaining high quality and reliability
• Help define the technical direction and architecture of a brand-new team and product surface
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end

Ideal Experience

• 5+ years of full-time software engineering experience
• 0-1 product build experience
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
• Experience with distributed systems and cloud-based architectures
• Prior experience mentoring or leading team

What We Value

• Strong product intuition and customer empathy
• Bias toward action and rapid iteration
• Ownership mentality , you see problems through to outcomes
• Comfort collaborating across engineering, product, data science, and applied AI
• Excitement about building agentic systems that make AI genuinely useful in the real world

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

Responsibilities

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideal Candidate

• Bachelor's degree in Computer Science or a related quantitative field
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to Haves

• Proficient in Arabic
• Experience working cross functionally with operations
• Experience building solutions with LLMs

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Our team is responsible for building and maintaining a range of software systems, including our labeling platform, fraud-detection systems, and customer service RAG application. You will have the opportunity to work on a variety of projects, from building methodical fraud-detection systems to devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.

We're looking for someone with a strong background in software engineering, excellent problem-solving skills, and a passion for working with AI technologies. You should be comfortable working in a fast-paced environment and be able to collaborate effectively with our team.

In this role, you will have the opportunity to work on a range of exciting projects, including:

• Building methodical fraud-detection systems to remove bad actors and keep Scale's contributor base safe and trusted.
• Using models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.
• Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.
• Build methods to automatically measure, train, and optimally match labelers to tasks based on performance.
• Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks.

If you're passionate about software engineering and AI, and want to be part of a dynamic team that's making a real impact, we'd love to hear from you.

Requirements:

• A graduation date in Fall 2025 or Spring 2026 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics).
• Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iterating.
• Previous Product/Software Engineering Internship experience.
• Track record of shipping high-quality products and features at scale.
• Experience building systems that process large volumes of data.
• Experience with Python, Typescript, React, and/or MongoDB.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is $124,000-$155,000 USD

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You will partner with public sector clients to deeply understand their challenges and define AI-driven solutions.

Key responsibilities include:

• Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participating in customer engagements, including occasional travel (approximately two weeks per quarter)

Ideally you'd have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

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Our approach is to empower our engineers to take ownership of their work and make decisions that drive results. We believe in a fast-paced, high-ownership environment where you'll have the opportunity to build and iterate on complex systems that scale to millions of tasks per week.

In this role, you'll help shape the engineering culture, values, and best practices of a fast-growing team. You'll work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000-$225,000 USD

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You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

Key responsibilities include:

• Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
• Implementing custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Collaborating with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
• Delivering experiments at a high velocity and level of quality to engage our customers

Requirements include:

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

Responsibilities

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideal Candidate

• Bachelor's degree in Computer Science or a related quantitative field
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to Haves

• Proficient in Arabic
• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

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Key Responsibilities: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership. Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. Foster a culture of speed, unity of purpose, resilience, and teamwork.

Requirements: 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. Proficient in one or more modern programming languages (Python, JavaScript/TypeScript). Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Strong product and business sense, with a track record of aligning engineering efforts with company goals. Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. Experience in executive level engagement with industry partners and Public Sector customers

Success Metrics: Within 6 months: Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations Establish Scale AI as the preferred agentic AI partner for the PEO Establish high velocity, agile engineering cadence both internally and with our industry partners

Within 12–18 months: Secure follow-on contract award with expanded scope for Scale Position Scale AI as the global AI leader in this mission area Establish developed solutions as Scale product offerings to deliver on future contracts

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Key responsibilities include:

• Delivering experiments at a high velocity and level of quality to engage our customers
• Working across the entire product lifecycle from conceptualization through production
• Being able, and willing, to multi-task and learn new technologies quickly

Ideally, you'd have:

• 7+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Your responsibilities will include:

• Building and enhancing user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
• Developing and refining features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
• Designing, building, and optimizing polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
• Working closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
• Integrating frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure

In this role, you'll have the opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400,$310,500 USD. Compensation packages at Scale include base salary, equity, and benefits. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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Our core work consists of creating custom AI applications, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You'll partner with public sector clients to scope, collect feedback, and implement solutions for complex problems. You'll also architect production-grade applications that integrate AI models with full-stack frameworks, manage infrastructure within cloud environments, and contribute to core platform features.

Ideally, you'll have a Bachelor's degree in Computer Science or a related quantitative field, 5+ years of full-stack engineering experience, and proficiency in React, TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB, and hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.

We're looking for a self-starting approach with technical maturity to navigate ambiguous requirements and deliver reliable software. You'll also need to drive async communication methodologies to reduce communication frictions.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

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You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

Key responsibilities include:

• Owning large new areas within our product
• Working across backend, frontend, and interacting with LLMs and ML models
• Delivering experiments at a high velocity and level of quality to engage our customers
• Working across the entire product lifecycle from conceptualization through production

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, Kubernetes, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy.
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience with Kubernetes backed services
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is: $205,700-$257,400 USD

The base salary range for this full-time position in the location of St. Louis/Suffolk is: $171,600-$214,500 USD

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Our core work consists of creating custom AI applications, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You'll partner with public sector clients to scope, collect feedback, and implement solutions for complex problems. You'll also architect production-grade applications that integrate AI models with full-stack frameworks, manage infrastructure within cloud environments, and contribute to core platform features.

Ideally, you'll have a Bachelor's degree in Computer Science or a related quantitative field, 5+ years of full-stack engineering experience, and proficiency in React, TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB, Docker, Kubernetes, and Azure/AWS/GCP.

You'll be a self-starting individual with technical maturity to navigate ambiguous requirements and deliver reliable software. You'll also have experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.

Nice to have: proficient in Arabic, past experience working in a forward-deployed engineer/dedicated customer engineer role, experience working cross-functionally with operations, and experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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We're looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you'll build the core infrastructure that powers AI products for some of the world's largest enterprises,designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don't just follow AI advancements , we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

Responsibilities

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale's and customers' infrastructure.

• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.

• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.

• Optimize backend performance for latency, throughput, and cost,ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.

• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.

• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.

• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideal Candidate

• 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.

• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.

• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.

• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.

• Hands-on experience with GenAI applications, model integration, or AI agent systems,understanding how to deploy, evaluate, and scale AI workloads in production.

• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.

• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

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As a Solutions Engineer, you will be part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

Key responsibilities include:

• Becoming an expert on the end-to-end of Scale Products
• Creating tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level
• Partnering with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer
• Integrating and ingesting a variety of external datasets to solve government use cases
• Interacting with customers on a day-to-day basis to understand their pain points and design solutions
• Working with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understanding public sector mission sets and strategic objectives to better showcase Scale's products

Ideal candidates will have:

• A strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills, ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use.

The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit.

Responsibilities:

• Build and ship user-facing features for claude.ai's web experience, working closely with designers to bring detailed, polished interactions to life

• Translate design intent into high-quality implementations , paying close attention to accessibility and the small details that add up to a great product feel

• Build responsive applications that work well across devices and screen sizes, and actively care about the performance characteristics that shape how the product feels to use , latency, responsiveness, and reliability are first-class concerns, not afterthoughts

• Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs as you build

• Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis

• Work with the UI Platform team to consume shared components and tooling effectively, and flag gaps or pain points that would help the broader team move faster

• Help maintain a high bar for code quality and consistency within the consumer product codebase

You may be a good fit if you:

• Have 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience

• Are proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack

• Genuinely care about the user experience , not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices. You think about latency and responsiveness the same way you think about design

• Collaborate well with designers and product managers, and enjoy the iterative process of turning a design into something that works beautifully in the browser

• Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters

• Pick up slack, even if it goes outside your job description

Strong candidates may also have experience with:

• Accessibility best practices and building inclusive user interfaces

• Performance optimization for consumer web apps , profiling, reducing bundle size, improving rendering performance, and understanding where latency comes from end-to-end

• Designing and implementing responsive layouts that work well across screen sizes and devices

• Working on products with real-time or streaming interactions (chat interfaces, live updates, etc.)

• User research or usability testing, or a track record of incorporating user feedback into product decisions

• Working on AI/ML products or in fast-moving consumer product environments

Candidates need not have:

• 100% of the skills needed to perform the job

• Formal certifications or education credentials

Annual compensation range for this role is $320,000-$405,000 USD.

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This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Responsibilities:

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

Requirements:

• 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping,you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and can identify the right problems to solve
• Are proficient with modern web technologies (React, TypeScript, Python, etc.)
• Have a track record of building user-facing applications that are actually used and loved by their target audience
• Communicate effectively with both technical and non-technical stakeholders
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have:

• Experience building research tools, scientific software, or experimentation platforms
• Background in machine learning, AI research, or working closely with ML researchers
• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
• Built open-source tools or platforms with active user communities
• Experience with data visualization, interactive interfaces, or novel interaction paradigms
• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
• Experience leveraging AI/LLMs to build more powerful or efficient tools
• Previous work in creative tools, artist tools, or other domains requiring deep user empathy
• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Annual compensation range for this role is $300,000-$405,000 USD.

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and systems for robotics data collection, teleoperation, and model evaluation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Building real-time systems for robotic control, sensor fusion, and perception pipelines
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Collaborating with ML engineers and researchers to bring robotics research into production
• Delivering features at high velocity while maintaining system reliability and performance

Ideally, you have:

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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In this role, you'll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You'll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.

To succeed, you'll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.

We're looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.

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As the Engineering Manager for Lakeflow Designer, you will lead a seed team of engineers to build a brand new Visual and AI-first editing experience for Databricks SQL. You will play a pivotal role in bringing this product from its current Private Preview stage to General Availability (GA) in the next 6-9 months. You will be responsible for scaling the team from its current size of ~6 engineers to 10-15 over the next year.

This is a high-visibility frontend-focused role where you will guide the development of intuitive user experiences and embedded agentic assistants that have the potential to completely change how customers interact with and analyze data on the platform.

Key responsibilities include:

• Leading product launch: Drive the roadmap and execution to launch Lakeflow Designer to General Availability (GA) within 6-9 months, ensuring we bring the product to market and delight users.
• Scaling the team: Rapidly hire and build out the team in a fast-moving area, growing the engineering headcount to 10-15 members.
• Driving technical & UX strategy: Oversee a frontend-heavy technology stack (React, TypeScript), championing high-quality UX and the integration of Gen AI/LLMs to build agentic capabilities.
• Unlocking data insights: Build an experience that opens up the platform to a broader, less technical audience, enabling entire new categories of customers to get insights from their data.
• Cross-functional collaboration: Partner closely with a strong Technical Lead, Product Management, and Design team to define the product vision and ensure successful execution.

Requirements include:

• 10+ years of software engineering experience, with a strong track record of technical leadership and impact.
• 5+ years of Engineering Leadership: Experience leading frontend teams, with a proven ability to manage and grow high-performing engineering groups.
• Frontend expertise: Strong technical background in React, TypeScript, and JavaScript.
• Product & UX passion: A strong passion for product and user experience; you care deeply about how users interact with the tool.
• Zero-to-one experience: Experience bringing a product from 'zero to one' is a significant plus.
• AI/LLM interest: Experience building Agents and working with LLMs is a bonus.
• Fast-paced execution: Ability to thrive in a fast-moving environment, specifically with experience hiring and scaling teams rapidly.

Why join us?

• Redefine SQL authoring: SQL is the main way our customers interact with their data; this role offers the chance to completely change how customers write SQL across the Databricks platform.
• Intersection of AI and UX: Work at the cutting edge of Gen AI, building agentic assistants that genuinely simplify complex workflows.
• High impact: Lead a team that is building a product with the potential to unlock data insights for vastly more users than what is possible today with raw SQL or notebooks.

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We're looking for a Senior Software Engineer to join our GenAI Engineering organization. As a key member of our team, you will design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers.

Responsibilities:

• Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
• Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
• Collaborate closely with internal operators to identify bottlenecks and ship fast, pragmatic solutions
• Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes
• Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
• Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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This is a highly specialized role sitting at the intersection of model behaviour and product quality. You'll be the expert on how Claude behaves inside Claude Code, owning and maintaining the system prompts that ship with each new model snapshot. When a new model drops, you're the person making sure Claude Code feels right within days , not weeks.

You'll work closely with Model Quality and Research to understand emergent behaviours and behavioural regressions, and with product and safeguards teams to respond quickly when something goes wrong.

This role requires someone who can move fast on behavioural tuning while maintaining rigor, and who cares deeply about the end-to-end developer experience Claude Code delivers. You'll need strong prompting skills, excellent judgment about model behaviours, and the collaborative skills to work across product, safeguards, and research teams.

Responsibilities:

• Own Claude Code's system prompts for each new model snapshot, ensuring behaviours feel consistent and well-tuned
• Review production prompt changes and serve as a resource for particularly challenging prompting problems involving alignment and reputational risks
• Lead incident response for behavioural and policy concerns, coordinating with product and safeguards teams
• Scale prompting and evaluation best practices across claude code and product teams.
• Deliver product evaluations focused on model behaviours
• Define and streamline processes for rolling out prompt changes, including launch criteria and review practices
• Create model-specific prompt guides that document quirks and optimal prompting strategies for each release
• Collaborate with product teams to translate feature requirements into effective prompts

You may be a good fit if you:

• Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations
• Thrive in high-intensity environments with fast iteration cycles
• Take full ownership of problems and drive them to completion independently
• Are skilled at creating and maintaining behavioural evaluations
• Have strong technical understanding, including comprehension of agent scaffold architectures and model training processes
• Are an experienced coder comfortable working in Python and Typescript
• Have independently driven changes through production systems with strong execution and responsiveness
• Have experience translating user feedback and product needs into coherent prompts and behavioural specifications
• Excel at working across organisational boundaries, collaborating effectively with teams that have differing goals and perspectives
• Have experience translating user feedback and behavioural observations into coherent prompt changes and specifications
• Care deeply about AI safety and making Claude a healthy alternative in the AI landscape

Annual compensation range for this role is $300,000-$405,000 USD.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role

As the Principal Engineer for the Contractors team, you will play a pivotal role in shaping the future of Gusto’s flagship Payroll product,one of the core pillars of our platform. You will design, build, and scale the capabilities that power essential experiences for our customers. Working collaboratively with product managers, designers, and other engineers, you will deliver impactful features that meet customer needs and elevate user experiences.

As a Gusto Engineer at this level, you’ll guide projects end-to-end,shaping initial feature specifications, driving architectural decisions to bring systems closer to their desired end states, executing on complex initiatives, and maintaining code that powers mission-critical functionality. Beyond technical contributions, you’ll help define and contribute to the broader strategy of how Gusto continues to build and scale its Payroll product.

If you’re excited about solving complex, high-impact problems and want to contribute to a product that touches the lives of millions, we’d love to have you on board!

About the Team

Payroll serves as Gusto's core product, used by each of our 500,000+ customers and contributing significantly to our annual recurring revenue of over $800,000,000. Although we hold the leading market position for SMBs in the US, the market remains highly fragmented, with an estimated 90% still in need of a superior solution. The Contractors team empowers businesses to onboard and pay contractors in 120+ countries with ease and speed. This includes critical functionalities such as payroll setup, preparation, and submission, historical reporting, time tracking, and shift scheduling.

As a key member of this team, you’ll have the opportunity to make a profound impact on both the product and the customers who depend on it daily.

Here’s what you’ll do day-to-day:

• Architect, build, and maintain scalable, secure, and resilient backend systems to support Gusto’s Payroll products.

• Function as a Technical Lead across multiple teams in Pay Group, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals.

• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world.

• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams.

• Mentor and grow fellow engineers working to create holistic and scalable solutions.

• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy.

• Engage in a highly supportive environment working with others to drive productivity and innovation.

Here’s what we're looking for:

• 15+ years of professional software development experience.

• Experience as a tech lead, overseeing and successfully delivering projects that span multiple teams.

• Enthusiasm for a collaborative, test-driven development environment.

• Proven experience building and maintaining resilient backend systems that support customer-facing products, including optimizing existing systems for performance, reliability, and scalability.

• Ability to produce maintainable, structured, and well-documented code.

• Expertise in developing and maintaining RESTful APIs, GraphQL endpoints, and backend services, ensuring seamless integration with frontend systems and third-party services.

• Demonstrated ability in scaling engineering organizations, with a strong focus on individual and team development and mentorship.

• Experience in highly cross-functional environments working on highly complex products.

• Ability to clearly communicate technical complexity and facilitate informed trade-offs among stakeholders.

• Experience using AI tools to build, test, and iterate on products quickly.

• Understanding of how to evaluate AI-driven outputs using clear success criteria.

• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.

• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $251,000-$309,000 /yr for New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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Responsibilities

• Own major full-stack product areas, driving features from design through production deployment.
• Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness.
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
• Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
• Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
• Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
• Adapt quickly,learning new technologies, frameworks, and tools as needed across the stack.

Ideal Experience

• 5+ years of full-time engineering experience, post-graduation.
• Strong experience developing full-stack applications using React, TypeScript, and Python.
• Experience scaling or shipping products at high-growth startups.
• Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
• Proficiency with SQL and modern API development.
• Experience with Kubernetes, containerization, and microservice architectures.
• Experience working with at least one major cloud provider (AWS, GCP, or Azure).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality

Ideal candidates will have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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You will deliver the kind of experiences that build trust throughout the Figma community, from customers to key internal partners such as Product and Engineering. We are looking for a Technical Support Engineer who will advocate for quality improvements that enable great end-to-end experiences for the people and businesses using Figma.

The ideal candidate will have a technical troubleshooting background, be comfortable collaborating in a fast-paced and often ambiguous environment, and demonstrate leadership, technical competence, and a passion for quality.

This role will be a full-time position, contracted working schedule is Saturday to Wednesday based from our London, UK hub.

Key Responsibilities:

• Develop expertise in Figma's products and customer journeys, from Product Designers to Developers, to accurately diagnose sophisticated bugs
• Interact with Figma customers daily via support channels such as chat, email, or video calls, taking ownership over complex problems
• Contribute to social support efforts by engaging with customers and users on social media and community platforms
• Own end-to-end troubleshooting of complex technical issues as the primary point of contact, partnering with Engineering and Product to report bugs, drive resolution, and maintain clear, proactive communication to improve customer satisfaction
• Adapt to supporting customers across multiple products, including assisting with billing and account management issues as needed. Maintain schedule flexibility, including occasional weekend or holiday coverage, to support customers globally
• Recommend tooling and process improvements to enhance with how the team manages to diagnoses bugs
• Collaborate cross-functionally as a subject matter expert to help develop customer-facing and internal documentation, including training materials
• Act as the voice of the customer by identifying trends and communicating insights to our Product and Engineering teams to advocate for bug fixes, tooling and process improvements, and feature enhancements

Requirements:

• 4+ years of experience working in a QA or Support environment for a technical SaaS product
• Experience collaborating closely with Engineering and Product teams
• Troubleshooting and debugging experience across multiple platforms (Mac, Windows, iOS, and Android)
• Consultative communication skills with the ability to tailor a message for your audience. You can translate complex concepts into concise explanations and summarize customer issues to technical and non-technical audiences
• Resilience and adaptability, you’re motivated by experimentation, building, and collaborating both within and beyond your team, and remain confident through times of change and ambiguity
• Hands-on experience debugging REST APIs, OAuth authentication flows, and third-party plugins or integrations
• Working knowledge of React and core web technologies (JavaScript/TypeScript, HTML, CSS)
• Ability to diagnose complex issues end to end and clearly explain troubleshooting approach and technical reasoning

Preferred Qualifications:

• Experience working with design tools like Figma, Adobe Suite, Sketch, Framer
• Ability to read and write Spanish, Portuguese, Japanese, Korean, German, or French

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.

At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.

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Our Early Bets initiatives are critical to EarnIn's success, providing new experiences and products for our users to ensure they are empowered with a more comprehensive ecosystem of solutions.

The ideal candidate has experience building 0-to-1 products, demonstrating a strong ability to design and implement scalable architectures that support rapid product evolution.

Responsibilities:

• Partner with Product and Design to define, build, and evolve user experiences using modern frontend technologies.

• Own and evolve the frontend architecture to ensure scalability, performance, accessibility, and long-term maintainability.

• Lead the design and implementation of complex frontend systems using React, TypeScript, and Next.js, including SSR, routing, data fetching, and performance optimization.

• Establish and uphold frontend engineering standards, including patterns, tooling, testing strategies, and CI/CD best practices.

• Drive cross-team technical initiatives, aligning frontend architecture with backend APIs, platform capabilities, and product strategy.

• Proactively identify technical risks and opportunities, providing clear technical direction and tradeoff analysis.

• Mentor and guide frontend engineers, raising the bar on code quality, architectural thinking, and delivery practices.

• Design and implement robust unit, integration, and UI automation tests to ensure reliability and confidence at scale.

• Define and monitor frontend metrics (performance, reliability, user behavior) to inform product and technical decisions.

Benefits:

• Base salary range: $210,000 - $257,000

• Equity and benefits

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

The Reporting Platform team at Gusto empowers business owners to make better decisions with data and insights through reports and visualizations that span our product lines. As a member of our Reporting Platform team, you will create and maintain reports and enable engineering teams to deposit and consume data from our reporting platform.

Responsibilities

• Collaboratively design and implement reports and visualizations across Gusto’s product suite in our Ruby on Rails/React-based stack.
• Migrate reports from our legacy infrastructure (Rails/MySQL) to our new reporting platform (Rails/Cube/Clickhouse).
• Frequently demonstrate your work to your team and the broader engineering organization.
• Improve the quality of our offerings by participating in support rotations and maintaining a prioritized backlog of technical debt and SRE improvements.
• Lead and mentor fellow engineers in tackling complex technical challenges at scale.
• Prototype, iterate, and launch new features quickly and efficiently.
• Foster a collaborative environment that encourages creativity and innovation, building products our customers love.

Requirements

• 7+ years of professional software development experience.
• Highly proficient in HTML, CSS, JavaScript, React, TypeScript.
• Very strong understanding of SaaS fundamentals.
• Excellent communicator.
• Willingness to learn new domains and quickly develop expertise.

Total Rewards

Our cash compensation amount for this role is targeted at $200,000/yr to $247,000/yr for New York City. Stock equity is additional.

Work Environment

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).

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We're looking for exceptional Fullstack / Web Engineers to work across the stack but have a passion for frontend development and a keen eye for design.

You'll architect and optimise user-facing features that power real-time conversations for millions worldwide. (pipe) Dive into cutting-edge technologies and scalable backend systems, collaborating with top-tier talent to push the boundaries of web performance and innovation.

You have the ability to thrive in a fast-paced environment, where you proactively tackle high-impact challenges that shape the future of social media,perfect for engineers passionate about crafting seamless, responsive experiences that drive global engagement and redefine digital interaction.

Responsibilities:

• Own and drive features from inception and design to implementation and launch, being the web expert on your team.

• Build and maintain high-quality, performant products and features, leveraging the most modern and cutting-edge web standards, technologies, frameworks, and AI tooling.

• Responsible for fullstack features, including user dashboards, personalised experiences, content delivery, interactive tools, assessments, and real-time analytics

• Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems.

• Uphold engineering excellence via testing, monitoring, deployment, and secure data handling.

• Drive technical/product decisions with teams and deploy global features to maximise user value.

Basic Qualifications:

• 2+ years of web development experience.

• Expert in TypeScript, Node.js, and modern web frameworks (e.g., React).

• Expert in modern CSS/SASS

• Experience in high-quality UI and UX design

• Proven track record of optimising applications for performance, security, and offline functionality.

Preferred Skills and Experience:

• 5+ years of experience in a web frontend role, working on a large scale consumer app.

• Experience with backend development, proficiency in one or more of the following: Rust, Go, Java, Python, Scala.

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The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

Key responsibilities include:

• Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
• Using our own data and AI platform to analyse build and test logs and metrics to identify areas for improvement.
• Defining the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
• Enhancing engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborating with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Designing and championing highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Leading the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.
• Owning the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.
• Driving developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency.

The ideal candidate has proven experience in a senior role, with 5+ years of full-time software engineering experience, and a deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana).

Extensive experience with at least one major cloud provider (AWS, Azure, or GCP) and strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups is required.

Proficiency in Python or JavaScript/TypeScript, and SQL is also necessary.

Bonus points for hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies.

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We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products.

Responsibilities:

• Design, implement, and operate flexible and accurate financial systems
• Work across backend, frontend, and accounting-related systems
• Deliver at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Provide critical input in the Billing team’s roadmap and technical direction
• Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure.

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

• Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

• Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

• Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

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

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

Life at Labelbox

• Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

• Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

• Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

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You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.

• Evaluate and enhance the security of our product offerings, through RFC and service review.

• Implement and maintain CI/CD pipelines with a strong focus on security.

• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.

• Utilize terraform orchestration to ensure secure and efficient infrastructure management.

• Guide engineering teams to build robust long-term solutions that consider security and privacy.

• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.

• Proven experience as a Security Engineer with a focus on product security.

• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.

• Strong understanding of modern Javascript application design.

• Production experience operating and securing AWS infrastructure at scale.

• Hands-on experience with SAST and DAST tools and methodologies.

• Familiarity with terraform orchestration for infrastructure management.

• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.

• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.

• Demonstrated ability to influence security strategies and drive improvements within a team.

• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets.

As a Senior Frontend Engineer, you will be working across the entire Brex stack, creating and maintaining new products, features, and building tools to help scale Brex.

You will have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow.

You’ll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter.

We’re looking for folks with not only an interest in building products and tools but also interested in leading multi-functional projects with lots of moving pieces.

In this role, you’ll have the opportunity to drive direct business impact and shape our long-term technical vision with a high-quality bar.

Responsibilities

• Work with engineers across the company to build new features and products.

• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers.

• Design and implement experiments to improve our customer’s experiences.

• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability, and ongoing metrics.

• Tune and polish features to a high degree of excellence.

Requirements

• 7+ years of professional experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack.

• Experience architecting, developing, and testing client-side code end to end.

• Experience developing client-facing software products.

• Uphold our high engineering standards.

• Strong communication and interpersonal skills.

Bonus points

• Experience collaborating with specialists in product, design, and operations.

• Experience with developing in React Native for mobile.

• Basic experience with design tools.

• Great writing skills.

• Proactive approach.

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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Descript is revolutionising how traditional editing methodologies and AI technologies come together in every part of the creation process (recording, transcribing, editing, and sharing) to make it faster and easier than ever to create high-quality content.

What You'll Work On

Growth at Descript spans the full user journey,from initial signup to the point where customers can’t imagine working without us. This isn’t a role only focused on small tweaks; it’s about building systems that redefine how we grow.

Build the systems that makes growth possible

• Design and own the experimentation playbook , the frameworks, tooling, and best practices that let the whole team run faster, cleaner tests

• Architect personalisation and user journey systems that adapt the product experience based on who someone is and what they're trying to do

• Build the data pipelines and instrumentation that give us a real-time window into what's working

Run the experiments that move the needle

• Own A/B tests end-to-end: form the hypothesis, instrument the feature, ship it, analyse the results, make the call , repeat

• Own activation and onboarding flows , the early moments that turn a new signup into someone who gets it and stays

• Help establish the metrics culture , work with Data and Product to define what we're optimising for, and build toward it

Shape the product, not just the code

• Build full-stack across frontend and backend: snappy React UI, the APIs behind it, and everything in between

• Partner with Product and Design to define what we're building, not just how we build it

• Bring a systems thinker's perspective to the team to enhance the playbook , your judgement will carry real weight

What You Bring

Required

• 5+ years of professional software engineering experience (senior) or 8+ years (staff/lead)

• Strong command of TypeScript/JavaScript and React , you're the person others come to with hard frontend questions

• Deep familiarity with web fundamentals: HTML, CSS, REST APIs, performance optimisation

• Experience running A/B tests and product experiments , you understand what a good test looks like and what the results actually mean

• A genuine hunger to connect engineering work to business outcomes , you care about the metric, not just the merge

• Comfort with ambiguity: you can define the problem, not just solve one that's handed to you

• Strong written and verbal communication , you can explain a trade-off to an engineer and a result to a stakeholder

Why This Role, Why Now

The team exists, the product is genuinely loved, and the opportunity is wide open. This isn't a 'maintain what's working' role , it's a 'figure out what works, then scale it' role. If you want to own the full arc from idea to impact, and work on a product that creators actually use, this is it.

Benefits

• Generous healthcare package

• 401k matching programme

• Catered lunches

• Flexible vacation time

Fun fact about me: I love pineapple on pizza.

I am excited to apply for the Senior Software Engineer, Growth position at Descript. With my passion for building scalable systems and my experience in running A/B tests and product experiments, I believe I would be a great fit for this role. I am looking forward to discussing my application and how I can contribute to the growth of Descript.

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Key responsibilities include:

• Engineering GTM tools: Architect and deploy production-ready agents using the Cloudflare stack (Workers, Agents SDK, Sandbox SDK, Durable Objects etc..).
• AI enablement: Design autonomous workflows using Workers AI and Vectorize (RAG) to automate technical case studies, sales enablement, and event messaging.
• Rapid development: Utilize AI coding assistants (Claude Code, Windsurf, or OpenCode) to move from concept to a shipped internal tool in weeks.
• Technical ownership: Partner with sales/marketing to identify gaps, then build, launch, and manage the internal lifecycle of your technical solutions.

Requirements include:

• Currently pursuing a degree or program in CS or Engineering with a focus on building functional systems.
• Ability to commit to a minimum 12-week summer internship.
• In-office 3-5 days a week in Austin.
• Strong skills in TypeScript/JavaScript, React, and Tailwind CSS, with experience building/consuming RESTful APIs and working with SQL or NoSQL databases.
• Proficiency with Git/GitHub and hands-on experience with AI coding environments (Claude Code, Windsurf, or OpenCode).

Nice-to-have skills include Cloudflare Native and Startup Experience.

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We are looking for a backend engineer to join our xAI Tooling team (Starfleet). As a member of this team, you will design, develop, and maintain robust, scalable backend systems that empower our researchers, engineers, and product teams to build, experiment with, and deploy cutting-edge AI models and applications more effectively.

Responsibilities

• Design and build robust, scalable backend systems to power our AI-driven tools and platforms.
• Develop APIs and distributed systems that handle high-throughput data processing for model training and evaluation.
• Create secure, reliable pipelines to support innovative human data generation and agentic workflows.
• Optimise infrastructure to leverage cutting-edge GPU resources for maximum performance.
• Innovate new approaches that bring us closer to our goal: to develop AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Basic Qualifications

• Experience building high-performance backend systems in dynamic, fast-paced environments - as a tech lead, former founder, etc.
• Expertise in designing scalable distributed systems and APIs with a compiled language like Rust or C++.
• Experience optimising data pipelines for machine learning workloads or real-time applications.

Preferred Skills and Experience

• Familiarity with frontend technologies (e.g., TypeScript, React) to collaborate seamlessly with cross-functional teams.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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This is a deeply product-driven role. Success is measured by real customer impact , better expense documentation, stronger policy compliance, and less time spent navigating Brex , not by novelty or research output.

Responsibilities:

• Lead and grow a team of engineers building the end-to-end conversational experience for the Brex Assistant, including outbound system-initiated interactions and inbound chat.

• Operate at all levels, guiding your team through complex technical challenges while being hands on with code and contributing to design.

• Own delivery and outcomes for the Assistant roadmap, making and executing hard sequencing decisions for agent capabilities (e.g., memory, preferences, merchant data).

• Set and uphold a high bar for reliability, correctness, and UX in non-deterministic, agentic systems operating in real-world financial workflows.

• Partner closely with Product, Design, and adjacent engineering teams (Spend, Expense, Platform) to shape direction and integrate deeply with core Brex workflows.

• Establish strong team norms and execution standards, balancing velocity with validation, quality control, and operational excellence.

Requirements:

• Proven experience leading engineering teams building user-facing products in complex, real-world domains.

• Strong product judgment, with a track record of making hard tradeoffs and delivering outcomes under real constraints.

• Experience building and operating systems that must remain reliable despite messy inputs, ambiguity, or non-deterministic behavior.

• Ability to translate high-level product goals into clear technical direction and execution plans, while mentoring engineers through strong technical and product guidance.

Bonus points:

• Development experience with Typescript while leading consumer-facing AI products, especially in regulated or high-stakes domains (finance, healthcare, travel).

• Direct experience with conversational UX, agents, or other non-deterministic systems in production.

• Prior experience as a tech lead for agentic systems, particularly in spend or financial workflows.

• Personal empathy for spend-heavy workflows (frequent travel, recruiting, managing expenses on behalf of a company).

Compensation: The expected salary range for this role is $240,000 - $300,000. 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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The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. We also ensure that Temporal integrates well with leading AI frameworks and libraries.

As a Staff Software Engineer, you will:

• Work as a Software Engineer.
• Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries.
• Develop a deep understanding of AI application development techniques, including emerging approaches and architectures.
• Work with multiple programming languages, primarily Python and TypeScript.
• Make extensive use of AI coding tools, especially to ensure quality across a large number of integrations.
• Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.
• Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.
• Work directly with our developer community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs.
• Write public technical documentation describing Temporal concepts and APIs.
• Go the extra mile to support a customer in need, on the rare occasion that AI SDK engineering expertise is needed.
• Travel to meet your coworkers for a week once or twice a year.
• Attend the occasional developer conference to talk about how great Temporal is (optional).

You won't:

• Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.
• Work in an office (unless you want to, but you'd be by yourself). Temporal is a fully-remote company.
• Commit code that's poorly-tested or works 'most of the time'. Temporal aspires to be 'Reliable as Gravity', and we expect our code to be the same.
• Work behind closed doors. The SDKs are open source,that means PRs and comments are open to the public, too.
• Sit in meetings all day. We mostly communicate in writing, and use meetings mainly for status updates and thorny issues that need input from the whole group.
• Wake up to pager alerts. We're extremely active in supporting our customers and the community, but we don't do 24/7 on-call.

You'll bring:

• Experience and passion for harnessing generative AI, particularly for agents and coding.
• A deep understanding of how to use AI to increase quality, not only to increase quantity.
• A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic.
• A track record of open source software contributions, including contributions to 3rd party libraries.
• Fluency in multiple programming languages, and an affinity for learning new ones.
• Deep experience with concurrent programming,you should know how to use mutexes, atomics, and other concurrency primitives safely.
• Experience designing APIs and writing documentation for publicly-available libraries or modules.
• Strong technical communication skills,written and verbal,in English.
• BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.

Nice to have:

• Familiarity with Temporal's programming model (e.g. you've written an app on Temporal).
• Expedite building agents or other AI applications
• Background in machine learning, model training, data science, or machine learning systems.
• Experience contributing to the architecture and design of large-scale distributed systems.
• Graduate degree in Computer Science.

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Responsibilities:

• Lead the development of highly-visible, user-facing products that protect our users.
• Design, build, and deploy robust production APIs, backend services, and data pipelines to launch safety features at scale.
• Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
• Iterate on in-house tooling to supercharge our T&S workflows.
• Respond rapidly to the ever-evolving abuse and compliance landscape.

Requirements:

• 5+ years experience writing Python and utilizing back-end API frameworks (Flask, Django).
• 5+ years experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
• Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
• Demonstrated success leading end-to-end delivery of complex projects: breaking down ambiguity, coordinating rollouts, and aligning stakeholders.
• Demonstrated ability to troubleshoot, debug, and test complex systems in a live, production environment.
• Exceptional communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
• Experience using metrics and dashboards to make data-driven decisions and develop insightful reports.
• Experience utilizing AI tools like Claude Code and Cursor to supercharge dev workflows

Bonus Points:

• Experience in the Safety or Anti-Abuse domain.
• Experience analyzing and visualizing data using Datadog or Mode.
• Familiarity with real-time streaming systems like Kafka or Pub-Sub.
• Ability to contribute to offline analytics jobs and processes.
• Experience building and operating mobile-client features on iOS and Android.
• Exposure to lower-level languages such as Go, Rust, and Elixir.
• A strong moral compass that drives you to protect users and do the right thing.

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We are seeking a skilled Software Engineer L2 to join our team.

Responsibilities

• Design, build, productionize, and maintain APIs, services, and systems across Stripe's engineering teams using Ruby, React, Typescript, and other programming languages.
• Predict and measure the performance and outcomes of designed systems.
• Collaborate with engineers and other cross-functional roles across the company to build new billing features at large-scale to make it easier for businesses to collect and manage their payments.
• Analyze user needs, feedback, and product requirements to determine technical specifications and the feasibility of design and implementation, taking cost and time constraints into account.
• Implement technical designs through a series of programming tasks while upholding high engineering standards.
• Implement unit, functional, and integration tests to prevent bugs and regressions.
• Improve engineering standards, tooling, and processes ensuring operational excellence and contribute to team's on-call rotation.
• Debug and identify the root cause of errors in a complex system across multiple service components.
• Provide mentorship and help onboard and spin up new hires for the team.

Requirements

• Bachelor’s degree or foreign equivalent in Computer science, Human-Computer Interaction or related fields, plus 18 months of software engineering experience.
• 1.5 years of experience working with Ruby, React, Typescript, and other relevant programming languages and frameworks;
• 1.5 years of experience translating business needs into software requirements and designs and implementing industry standard design patterns;
• 1.5 years of experience with using SQL or related query languages to perform data analysis;
• 1.5 years of experience working with API development, participating in team's oncall to provide emergency response, and debugging production issues across services;
• 1.5 years of experience leading cross team projects, scoping implementation plans, and managing cross team dependencies;
• 1.5 years of experience participating in team's on-call rotation, providing emergency responses, debugging and mitigating production issues.

Benefits

• Salary: $156,800 – $235,200/yr.
• Up to 50% remote work permitted.
• Multiple Positions Available.
• Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

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As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.

Responsibilities:

• Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.

• Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.

• Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.

• Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.

• Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.

• Debug and resolve complex production issues that span services and layers of the stack.

• Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.

Requirements:

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.

• Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.

• Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.

• Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.

• Strong system design skills and a track record of architecting resilient production systems.

• Excellent communication skills, with experience collaborating across teams and mentoring others.

Preferred Qualifications:

• Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.

• Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).

• A history of developing complex, real-time distributed systems at scale.

• A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.

• Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.

• Strong problem-solving skills and a bias for action,especially when tackling high-impact, gritty challenges.

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The nature of our business means you'll spend significant time helping customers who've already adopted Temporal unlock more value by expanding into additional use cases, teams, and workloads. This is a high-velocity, technically deep role.

You'll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.

You'll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.

As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.

Must reside in San Francisco, CA

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You will:

• Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.

• Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.

• Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.

• Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.

• Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.

Our ideal candidate has a strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience), and 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++.

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You will be responsible for securing large cloud environments, orchestrating and securing various compute clusters, and reviewing infrastructure as code. Your expertise in cloud security, infrastructure automation, and advanced security practices will be essential in maintaining and enhancing our security posture.

Key responsibilities include:

• Securing infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP).
• Implementing and maintaining robust security configurations and policies for cloud environments.
• Conducting regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement.
• Developing and enforcing security best practices for infrastructure automation and orchestration.
• Collaborating with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle.
• Reviewing and securing infrastructure as code (e.g., Terraform, CloudFormation).
• Educating and mentoring team members on infrastructure security best practices and emerging threats.

Ideally, you'd have:

• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, and Kubernetes.
• Experience with orchestrating and securing GPU clusters.
• Proficiency in infrastructure as code tools such as Terraform and CloudFormation.
• Excellent communication skills, with the ability to clearly explain technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within an organisation.
• Relevant security certifications (e.g., AWS Certified Security Specialty, Certified Cloud Security Professional) are a plus.
• Experience in a senior or lead security role is preferred.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

We're seeking a talented and experienced Software Full-Stack Engineer passionate about building high-quality, scalable web applications using modern frontend & backend technologies to build the next generation of our omnichannel Contact Center products.

Responsibilities

• Develop and maintain Dialpad's web applications using modern front-end and back-end technologies.
• Provide estimates on technical resources and requirements necessary to plan and begin projects.
• Take responsibility for executing projects in the omnichannel contact center communications space. Assist and drive, as needed, to ensure the team meets its delivery milestones.
• Develop well-tested features with appropriate test hooks, resulting in low defect reports and faster engineering throughput.
• Review technical designs to ensure features/products are well-integrated and fully meet business needs.
• Participate in code reviews, design discussions, and other team activities to ensure high-quality software delivery.
• Troubleshoot and debug issues with existing features, as needed.
• Stay up to date with the latest backend platform technologies and best practices, and contribute to the continuous improvement of our engineering processes and tools.
• Ensure features are shipped on time and to the highest quality standards.

Requirements

• 5+ years of strong experience in full-stack software engineering.
• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience.
• Leverage AI Tools (Claude / Windsurf / Gemini) for development.
• Strong experience working with HTML/CSS, Vue.js, Typescript, Python, Java.
• Strong experience working with Cloud Technologies [Google Cloud Platform is a plus] and distributed technologies.
• Working knowledge of unit test and integration test frameworks.
• Good understanding of web technologies, RESTful APIs, and web application frameworks.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent them.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.
• Experience with highly agile and iterative development processes.

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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Your responsibilities will include leading the development of agent pipelines, architecting composable agent SDKs with built-in safety and robust fallback strategies, designing tracing tools and alert dashboards to ensure agent performance and quality, owning the agent lifecycle, collaborating closely with security and operations teams to ensure agent governance and auditability, mentoring and upleveling teammates on best practices in observability and resilience, and solving challenging technical problems across the stack to develop critical customer-facing features.

We're looking for engineers who want to shape the next generation of intelligent agents – people who care deeply about building reliable, modular systems and elevating those around them. If you're energized by architecting robust agent SDKs, creating tools that ensure safety and observability, and mentoring others, you'll thrive at Lumos.

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Our mission is to empower teams to build robust, scalable, and delightful web products with confidence.

As a Software Engineer on the Web DX team, you’ll contribute to projects that improve the daily workflows of Dropbox web engineers.

You will help build and refine the tools and systems that power tasks such as faster builds, smoother testing, type safety, and scalable internationalization - directly impacting developer productivity and confidence.

Within Web DX, the Web Build team focuses on build-time systems and tooling, including Bazel rules, TypeScript and React integrations, i18n pipelines, and JS package management and bundling.

In this role, you’ll gain valuable exposure to modern build technologies, collaborate with senior engineers to identify and solve developer pain points, and grow your expertise in scaling developer experience across a large engineering organization.

This role is an excellent opportunity to develop platform engineering skills, contribute to high-impact systems used by hundreds of engineers, and learn how to shape web development practices at scale.

You’ll be part of a collaborative team that values technical excellence, thoughtful abstractions, and building tools that last.

Responsibilities:

Contribute to the development and maintenance of build systems and developer tools that support Dropbox’s web engineering ecosystem, including Bazel rules, TypeScript tooling, React workflows, and i18n pipelines.

Implement improvements that help streamline and standardize the development process, such as adding automated checks, improving abstractions, or extending scaffolding to reduce complexity.

Collaborate closely with product engineers to understand workflow challenges and help deliver solutions that improve web build speed, reliability, and consistency.

Adopt and apply modern practices in areas like static analysis, code quality enforcement, and incremental builds, working with senior engineers to introduce and maintain best practices.

Participate in team initiatives that improve developer productivity at scale, such as optimizing build/test loops, enhancing build pipelines, and improving i18n tooling.

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements:

BS in Computer Science or related technical field, or equivalent practical experience.

2+ years of software engineering experience (or strong internship/project experience for recent graduates).

Proficiency in JavaScript/TypeScript and familiarity with modern frontend frameworks such as React.

Interest or experience in developer tooling, build systems, or productivity engineering (e.g., Bazel, RSPack, esbuild, or similar).

Strong problem-solving skills, with the ability to debug and improve developer workflows.

Collaborative mindset with a willingness to learn from and work closely with senior engineers.

Experience with static analysis, linters, or code quality tools a plus.

Preferred Qualifications:

Experience contributing to or maintaining build systems (e.g., Bazel,) or bundlers (e.g., Webpack, rspack, Rollup).

Familiarity with build pipelines and automated testing frameworks.

Hands-on experience building or extending developer productivity tools such as linters, formatters, or scaffolding generators.

Familiarity with monorepo development and dependency management at scale.

Exposure to internationalization (i18n) workflows or localization tooling.

Experience improving development workflows and test/build pipelines.

Demonstrated ability to identify developer pain points and propose/implement process or tooling improvements.

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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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Key responsibilities include:

• Driving technical roadmap and strategy for the Build Systems team
• Partnering with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions
• Leading complex, multi-quarter initiatives reducing build/test times and improving CI reliability
• Designing, building, and maintaining modern developer tools including scalable build systems, distributed CI platforms, and test frameworks
• Architecting and implementing large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency
• Mentoring and upleveling the team through technical guidance, code reviews, and architectural leadership

We're looking for someone with 8+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams. You should have deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos. Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems is also required.

Preferred skills include experience migrating large codebases to modern build systems (especially Bazel), building test frameworks and improving test infrastructure, and having excellent problem-solving skills.

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Key responsibilities include collaborating with prospects to determine if their applications fit Temporal's platform well, educating customers and prospects on the technical benefits and limitations of Temporal's platform and cloud service, and managing and nurturing relationships with technical decision-makers within customer organisations.

To succeed in this role, you'll need exceptional technical communication skills, a deep understanding of distributed system technologies, design principles, and best practices, and proficiency in building application prototypes and providing design, development, build, and deployment guidance using one or more of Temporal's supported languages.

Additionally, you'll serve as a strategic technical advisor to Sales Account Executives, assisting with scoping and sizing opportunities and offering guidance on technical fit and challenges.

Nice to haves include a willingness to learn new technical topics, the ability to come up to speed without sales-specific training, and partnering well with engineers working at customer organisations.

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Your responsibilities will include developing self-service security frameworks and 'paved roads' that allow engineering teams to ship secure code by default. You will focus on automated guardrails for common vulnerabilities, while prioritising deep-dive design reviews into complex business logic and data isolation issues. You will also partner with product and engineering teams to review designs early, contribute to threat modelling for new features and complex initiatives, and provide clear, actionable security guidance.

You will research emerging threats and evolving best practices, specifically regarding AI and LLM safety, and implement controls to secure these workflows. You will manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.

You will contribute to the long-term roadmaps, metrics, and strategic planning for the security team. As a senior member of the team, you will lead complex threat modelling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organisation.

We are looking for a highly experienced Product Security Engineer with a strong background in computer science or a related field, and proficiency in writing clean, maintainable code. You should have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and be able to reason about the security implications of systems built on them. You should also have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.

You will excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity. You will be comfortable working in a fast-paced environment, navigating ambiguity, continuously learning about emerging threats and technologies, and contributing to long-term security strategy.

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As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder.

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers
• Tune and polish features to a high degree of excellence
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

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. 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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Some of the key responsibilities of this role include:

• Partnering with Product and Engineering to ensure that our application is designed and developed securely
• Participating in the implementation efforts, doing security reviews, helping with product design decisions, auditing and surfacing vulnerabilities in our current products
• Developing and improving our automated tooling to scale our application security capabilities and find potential code problems both before and after we deploy
• Making the safe way, the easy way, by working on defining and building application guardrails so that developers can build securely by default
• Assisting in ongoing security operations, including incident response, vulnerability management, penetration testing, security reviews, and other operational tasks to ensure that our security program is operating at a world-class level

We use a variety of tools and technologies, including Cloud Security: Lacework, Languages: Python 3, TypeScript, Libraries: FastAPI, SQLAlchemy, React, Datastores: Postgres, Redis, Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, Monitoring: Datadog, PagerDuty, Version Control: Github, Vulnerability Management: Snyk, Semgrep

If you have 0 → 1 security experience, strong cross-functional experience, strong technical depth and breadth, thrive in ambiguity, innovation at scale, results-driven, and mission-driven, you'll be great for this role.

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Your responsibilities will revolve around developing and enhancing our product to deliver exceptional user experiences , working closely with cross-functional teams to turn innovative ideas into robust, scalable, and user-friendly features. You will also have the opportunity to drive high impact and have high ownership in a smaller, startup-like team.

We are focused on expanding our Virtual Data Room business by improving deal workflows and introducing AI-enabled features.

You will autonomously lead full-stack projects, making effective tradeoffs between technical requirements and business goals. You will act as a leader across the org with impact extending beyond the immediate team, driving cross-team initiatives and collaborating effectively with cross-functional teams, including product managers, designers, and other engineers.

You will set a high bar for quality and operational excellence, preemptively identifying and resolving technical risks, and championing best practices across the team through code and design reviews.

You will mentor teammates, providing actionable feedback to help teammates grow into the next level. You will participate in on-call rotations, which entails being available for calls during both core and non-core business hours, and debug customer issues using logs, metrics, and traces.

The ideal candidate will have 9+ years of experience in software engineering or related industry roles, a BS degree in Computer Science or related technical field involving coding, and demonstrated expertise in Ruby on Rails applications and React.

Preferred qualifications include familiarity with tools and languages used on the DocSend Engineering team, such as Typescript, GraphQL, HAML, and PostgreSQL.

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You will play an active part in shaping product features based on what's technically possible. Furthermore, you will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience:

• A minimum of 3 years experience in software development, with a strong focus on JavaScript, TypeScript and React;
• Bachelor's degree in Computer Science, Engineering, or a related field;
• Experience with frontend frameworks and tooling;
• Good understanding of HTML, CSS and how to work with product design teams;
• Good understanding of how browsers work and their underlying technologies;
• Solid understanding of systems engineering principles and best practices;
• Experience with version control systems such as Git;
• Strong problem-solving skills and attention to detail;
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment;
• Passion for learning and exploring new technologies;
• Creative thinker with the ability to propose innovative solutions to complex problems;
• An operational mindset - we don't just write code, we also own it in production;

Bonus Points:

• Previous experience working in an Agile environment;
• Experience building high performance distributed systems;
• Understanding of the web and its underlying protocol stack, such as HTTP;
• Familiar with AI, AI agents, and related technologies and standards;
• Contributions to large open source projects.

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

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Anthropic's Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.

You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.

Developer Experience

You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers.

You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.

Beneficial Deployments

Beneficial Deployments Engineering brings Claude to organisations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programs.

Enterprise AI Products

You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.

Some of our focuses are:

• Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.

• Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.

• Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from 'Claude answers when asked' to 'Claude notices what you need'.

Vertical AI Products

Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:

• Financial Services , analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.

• Healthcare , clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product , and where compliance is part of the engineering.

• Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.

Enterprise Foundations

You'll build the systems large organisations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns 'we love the demo' into a signed enterprise deal. The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.

Growth

Drive user acquisition, engagement, retention, and monetisation through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base!

As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimise growth initiatives that scale our AI-powered tools and maximise their impact.

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As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts.

As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components.

You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms).

Embedded software development experience is a plus.

You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs.

Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization.

Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company.

This means you will get to directly contribute to the development of Anduril’s next-generation products and services.

So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

Key Responsibilities:

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.

• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.

• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.

• Support Anduril- and customer-funded R&D efforts.

• Participate in field experiments and technology demonstrations.

Requirements:

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.

• Proven software architecture and design skills.

• Ability to quickly understand and navigate complex systems and established codebases.

• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).

• Web app development (e.g., React, Angular, or Vue).

• Cloud development (e.g., AWS, Azure, or GCP).

• Data modeling and wrangling.

• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory).

• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).

• API development and integration (e.g., REST, GraphQL).

• Containerization technologies (e.g., Docker, Kubernetes).

• Software development on Linux and Windows.

• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

• Experience with Git version control, build tools, and CI/CD pipelines.

• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.

• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.

• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

Preferred Qualifications:

• BS in Computer Science, Engineering, or similar field.

• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).

• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).

• Mobile app development (e.g., iOS or Android).

• Embedded software development experience.

• Willingness to travel up to approximately 10% US

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Your teams will be experts in modern web technologies (React, TypeScript, HTML, CSS, JavaScript) and will partner closely with Product, Analytics, Design, and Marketing to deliver measurable, data-driven business outcomes.

You will also be leading a small pod of mobile engineers.

This role is ideal for a strong senior technical people leader who excels in metrics-driven environments, drives clarity and urgency across teams, and amplifies impact through strong systems, processes, and talent development.

You will also play a key role in leveraging AI tools and workflows to meaningfully increase engineering velocity, experimentation speed, and innovation.

This position requires a hybrid role from our Bangkok office as part of our expanding site, with 2 days a week in person.

EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ.

Our salary ranges are determined by role, level, and location.

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At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world's largest networks that powers trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

About the Team

The Cloudflare Queues team delivers our managed global message queue service. Queues lets developers reliably send and receive messages, buffer or batch operations, and decouple load among services on the edge. It features message batching, automatic retries, and at-least once delivery guarantees. Queues is integrated with Cloudflare Workers; a Worker can send messages to a Queue, and consume messages from a Queue.

What you'll do

We are looking for an Engineering Manager to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day. You will play an active part in shaping product features and improving performance to make Queues the best it can be. You will make sure our company hits our ambitious goals from an engineering standpoint. You will change the way people build applications. You bring a passion for meeting business needs by building technical, innovative solutions. You excel to understand how big-picture goals inform technical details. You thrive in a fast-paced iterative engineering environment and have experience in delivering scalable distributed systems. Most importantly, you have a track record of having past teams respect you as both a technical leader and manager.

Examples of desirable skills, knowledge and experience

• Strong communications skills - especially building a shared understanding of systems among a team's members.
• Comfortable leading and hiring a team that builds distributed systems.
• Navigate uncertainty and ambiguity - many of the things we build have never been built before anywhere and you are expected to find a way to deliver.
• Excel at planning, creating teams, and overseeing execution to meet commitments and deliver with predictability
• Comfortable building developer-loved APIs that scale
• Demonstrate a track record of leading a team including hiring, on-boarding, and professional development. You inspire your team to reach higher. You’re as good as explaining “why” as you are “how”.
• Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages
• At least 4 years of recent professional experience with TypeScript or Go.
• Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
• Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly

Bonus Points

• Experience building high performance distributed systems.
• Experience working with cloud platforms, especially serverless platforms.
• Deep Linux/UNIX systems, kernel, or networking knowledge
• Contributions to large open source projects
• Experience working with async software patterns like queues, pub-sub, and event buses.
• Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system.

Compensation

Compensation may be adjusted depending on work location.

• For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $170,000 - $260,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

• Health & Welfare Benefits
• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel

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You will be accountable for both people leadership and product outcomes, guiding how agentic systems are designed, shipped, and operated in production. This is a deeply product-driven role. Success is measured by real customer impact , better expense documentation, stronger policy compliance, and less time spent navigating Brex , not by novelty or research output.

The role will be based in our San Francisco 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.

Responsibilities:

• Lead and grow a team of engineers building the end-to-end conversational experience for the Brex Assistant, including outbound system-initiated interactions and inbound chat.

• Operate at all levels, guiding your team through complex technical challenges while being hands on with code and contributing to design.

• Own delivery and outcomes for the Assistant roadmap, making and executing hard sequencing decisions for agent capabilities (e.g., memory, preferences, merchant data).

• Set and uphold a high bar for reliability, correctness, and UX in non-deterministic, agentic systems operating in real-world financial workflows.

• Partner closely with Product, Design, and adjacent engineering teams (Spend, Expense, Platform) to shape direction and integrate deeply with core Brex workflows.

• Establish strong team norms and execution standards, balancing velocity with validation, quality control, and operational excellence.

Requirements:

• Proven experience leading engineering teams building user-facing products in complex, real-world domains.

• Strong product judgment, with a track record of making hard tradeoffs and delivering outcomes under real constraints.

• Experience building and operating systems that must remain reliable despite messy inputs, ambiguity, or non-deterministic behavior.

• Ability to translate high-level product goals into clear technical direction and execution plans, while mentoring engineers through strong technical and product guidance.

Bonus points:

• Development experience with Typescript while leading consumer-facing AI products, especially in regulated or high-stakes domains (finance, healthcare, travel).

• Direct experience with conversational UX, agents, or other non-deterministic systems in production.

• Prior experience as a tech lead for agentic systems, particularly in spend or financial workflows.

• Personal empathy for spend-heavy workflows (frequent travel, recruiting, managing expenses on behalf of a company).

Compensation: The expected salary range for this role is $240,000 - $300,000. 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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This is a high-impact role for a 'product-minded engineer'. In our Core Services team, we treat our platform as a product. Because we operate with a lean team, you will have end-to-end ownership: from writing Product Requirement Documents (PRDs) and building the high-performance backend services and scalable infrastructure that support them.

Responsibilities:

• Full Stack Development: You will function as a product-minded engineer for our internal platform. This involves architecting secure infrastructure (Kubernetes, Docker) and backend services (Go, Python, PostgresDB), while also building the frontend interfaces (React, TS) to support features.

• Developer Experience: Create the internal platforms and dashboards that improve developer velocity, reliability, and observability across the entire organisation.

• Technical Leadership: Act as a technical leader who mentors junior engineers, contributes to the entire infrastructure codebase, and identifies root causes for critical system issues.

About you:

• Education: BS, MS, or PhD in Computer Science, or equivalent experience in a technical field such as Physics or Mathematics.

• Experience: 5+ years of professional software development experience with a strong foundation in CS fundamentals.

• Backend Expertise: Proficiency in Go and Python, with a deep understanding of building scalable backend services and APIs.

• Frontend Expertise: Strong experience with React, TypeScript, and JavaScript for building complex, data-rich web applications.

• Infrastructure & Orchestration: Proficiency with Docker, Kubernetes, and cloud infrastructure (AWS, GCP, or Azure).

• Product Thinking & UI Design: You are comfortable functioning as your own PM and Designer and write technical specs (PRDs) to define how users interact with infrastructure.

• Communication: Excellent communication skills to represent technical and product decisions to the wider engineering team.

Good to have:

• Experience with React Native for mobile or cross-platform applications.

• Prior experience in a startup environment where you handled multi-functional responsibilities (Dev, PM, and Design).

Compensation: The base salary range for this role is $190,000 to $205,000 + bonus, equity and US benefits.

US Benefits:

• Flexible PTO: Because life is better when you actually live it!

• Comprehensive Coverage: Top-notch medical, dental, and vision insurance.

• 401(k) with Matching: We’ve got your back for a secure future.

• Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.

• Therapy Sessions Covered: Mental health matters, 10 free sessions through Samata Health.

• Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.

• Lunch on Us: Enjoy a lunch credit when you're in the office.

#LI-Hybrid

Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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Your responsibilities will revolve around developing and enhancing our product to deliver exceptional user experiences , working closely with cross-functional teams to turn innovative ideas into robust, scalable, and user-friendly features. You will also have the opportunity to drive high impact and have high ownership in a smaller, startup-like team.

We are focused on expanding our Virtual Data Room business by improving deal workflows and introducing AI-enabled features.

Key responsibilities include:

Autonomously leading full-stack projects, making effective tradeoffs between technical requirements and business goals. Acting as a leader across the org with impact extending beyond the immediate team, driving cross-team initiatives and collaborating effectively with cross-functional teams, including product managers, designers, and other engineers. Setting a high bar for quality and operational excellence, preemptively identifying and resolving technical risks, and championing best practices across the team through code and design reviews. Mentoring teammates, providing actionable feedback to help teammates grow into the next level. Participating in on-call rotations, which entails being available for calls during both core and non-core business hours, and debugging customer issues using logs, metrics, and traces.

Requirements include:

9+ years of experience in software engineering or related industry roles. BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. Demonstrated expertise in Ruby on Rails applications and React. Demonstrated success in developing and deploying large-scale web applications with a user-focused approach. Proven ability to thrive in agile, fast-paced environments, including comfort with continuous deployment practices and rapid iteration.

Preferred qualifications include familiarity with tools and languages used on the DocSend Engineering team, including Typescript, GraphQL, HAML, and PostgreSQL.

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Key responsibilities include:

• Design, develop, and deploy high-quality features across Dialpad's web and desktop-native applications.
• Write clean, modular, and maintainable code using best practices along with unit & integration tests.
• Participate in code reviews to ensure code quality, maintainability, and scalability.
• Ensure that features are shipped on time and with the highest quality.
• Participate in a rotating team on-call schedule to quickly diagnose and resolve critical issues, ensuring a seamless customer experience.
• Collaborate with cross-functional teams to build and use common components and practices across Dialpad products.
• Mentor junior engineers and help them grow their skills and expertise.

Requirements include:

• 5+ years of professional experience in Full-Stack Software Engineering.
• Strong experience with Python, APIs, Vue/React, HTML, CSS, JavaScript, TypeScript, GraphQL, GCP, or other cloud infrastructures, etc.
• Practical experience designing, deploying, and optimizing solutions leveraging serverless computing, microservices, and event-driven architectures.
• Proficiency with both SQL and NoSQL databases.
• Experience with building reusable and modular components for both frontend and backend.
• Experience with mentoring junior engineers and helping them grow their skills.
• Experience with RESTful APIs and GraphQL schemas.
• Bachelor's degree in Computer Science or equivalent practical experience.
• Proven ability to design, build, launch, and maintain at least two large-scale production systems.
• Experience with Agile development methodologies.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.

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As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organisation and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner's infrastructure at serving-path latency and scale.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure,classifiers, rate limits, enforcement actions, and intervention hooks,embedded directly in the third-party CSP inference serving path

• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behaviour while honouring regionalisation boundaries and enterprise contractual commitments

• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving

• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture

• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe

• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner's cloud.

You may be a good fit if you:

• Have a Bachelor's degree in Computer Science, Software Engineering, or comparable experience

• Have 4–10+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems

• Are proficient in Python and comfortable working across the stack,from request-path services to data pipelines to internal tooling

• Think adversarially: you can see a system from a bad actor's perspective, anticipate how they will respond to countermeasures, and design defences in depth rather than single points of enforcement

• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets

• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development

• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organisations

• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale

• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production

• Major cloud platform internals,IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring,or experience shipping software that runs inside a partner's cloud rather than your own

• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries

• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting

• Adversarial mindset: has shipped defences against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident

• Comfortable operating at the intersection of platform/infra engineering and trust & safety,neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both

• Has shipped software that runs inside someone else's infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don't control the whole stack

• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation

• TypeScript or Rust, and agentic coding tools such as Claude Code

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: $405,000-$485,000 USD

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As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

In this role, you will:

• Design, build, and maintain integrations connecting ERP systems with downstream applications, including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions.

• Support integration development and testing during the ERP implementation projects.

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication.

• Implement real-time and batch integration patterns supporting high-volume financial transactions.

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity.

• Document integration architectures, data flows, API specifications, and troubleshooting procedures.

• Collaborate with implementation consulting partners and vendors on technical integration requirements.

Additional scope includes AI automation and data infrastructure, including AI agent development, data pipeline support, governance, and collaboration.

You may be a good fit if you have 8+ years of experience in integration development, data engineering, or systems engineering roles, possess hands-on experience with iPaaS platforms, and have strong programming skills in Python and/or JavaScript/TypeScript.

Strong candidates may also have experience with high-growth technology companies, background in AI/ML companies, and hands-on experience with specific platforms, including Workday Financials, Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management, and programming skills in Python/JavaScript.

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Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company.

The ideal candidate has 7+ years of experience building production-grade software applications, including both backend services and modern web frontends. They should have strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript).

In addition to technical skills, the successful candidate will be a curious and creative problem-solver who is passionate about building user-facing applications that turn complex data into intuitive experiences. They should be able to take ownership of complex systems end-to-end, from design through deployment and iteration.

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:

itertools[''] -> Be Curious at Your Core itertools[''] -> Act Like an Owner itertools[''] -> Empower Employees itertools[''] -> Deliver Best-in-Class Client Experiences itertools[''] -> Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

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About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

About the Role

Responsibilities:

• Develop monitoring systems to detect unwanted behaviours from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review

• Build abuse detection mechanisms and infrastructure

• Surface abuse patterns to our research teams to harden models at the training stage

• Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale

You May Be a Good Fit If You:

• Bachelor's degree in Computer Science, Software Engineering or comparable experience

• 5-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection and mitigation

• Proficiency in Python and Typescript

• Ability to work across the stack

• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong Candidates May Also:

• Have experience building trust and safety detection mechanisms and intervention for AI/ML systems

• Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs

• Have worked closely with operational teams to build custom internal tooling

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 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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Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.

The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

The Data Platform Team @ Pave

The Data Platform team owns the data infrastructure that makes Pave work , connecting Pave's platform to the HRIS, EMS, ATS, and partner systems that power our customers' compensation workflows. Without reliable, high-quality integrations, none of Pave's products can deliver their full value. This is a high-leverage role at the core of Pave's platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won't just be executing on a defined roadmap, but actively shaping how the platform evolves, what gets prioritized, and what engineering culture looks like from day one.

As a Senior Software Engineer on the Data Platform team, you will design and build the connectors, pipelines, and platform capabilities that enable Pave to serve enterprise customers at scale. You'll have significant influence over the architecture and reliability of a system that touches every Pave customer.

Responsibilities

• Design and build new HRIS, EMS, ATS, and partner integrations, with a focus on enterprise-grade systems like Workday, BambooHR, and ADP

• Own integrations end-to-end , from connector design and data mapping through testing, rollout, and ongoing reliability

• Build and improve observability tooling , monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health

• Partner closely with product and go-to-market to prioritize connector coverage and unblock key deals

• Identify and address systemic reliability and scalability issues in Pave’s data platform

Requirements

• 5+ years of experience building and shipping production-grade software, with meaningful exposure to integrations, data pipelines, or API platforms

• Strong understanding of integration patterns, API design, and the operational challenges of third-party data dependencies

• Experience working on enterprise B2B products and an understanding of the reliability and data quality standards they require

• Ability to lead technical projects with ambiguity , third-party APIs are rarely well-documented and requirements shift

• Execution oriented , eager to not only design solutions but dive into implementation and see them through to a reliable, monitored production state

• Experience with our tech stack: TypeScript, Node.js, React, GCP

Compensation

At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement , and your total rewards package includes meaningful equity, flexible PTO, and region-specific benefits designed around your life, not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling , just ask.

Benefits

At Pave, growth isn't a perk , it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer:

• Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority , because great work starts with taking care of yourself.

• Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle , whether that's a MultiSport membership or whatever keeps you moving.

• Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.

• Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.

• Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self , no counting days, no guilt.

• Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.

• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.

• Equipment: Top-of-the-line Pave hardware waiting for you on day one , no setup anxiety, just hit the ground running.

Life @ Pave

Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management , giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom , wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.

We run a hybrid culture that brings teams together in person on Monday, Tuesday, Thursday, and Friday , and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us , that we truly enjoy spending time together.

Our culture is shaped by five values we live every day:

• Be Intellectually Honest , Truth over comfort. We face reality clearly and speak directly, even when it's hard.

• Play to Win , We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.

• Uphold the Pave Platinum Standard , We hold ourselves to the highest bar , for our customers, our data, and each other.

• One Team , We win and lose together. Titles don't drive decisions here , shared goals do.

• Hug of Jawn , Hard to define, impossible to miss. Ask your recruiter.

Our Vision: Unlock a labor market built on trust.

Our Mission: Build confidence in every compensation decision.

We build software that transforms how companies pay their people , and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.

Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.

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This role sits at the intersection of product thinking and full-stack engineering. You will work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

No ML or Research experience is required.

Responsibilities:

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

You may be a good fit if you:

• Have 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping,you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and can identify the right problems to solve
• Are proficient with modern web technologies (React, TypeScript, Python, etc.)
• Have a track record of building user-facing applications that are actually used and loved by their target audience
• Communicate effectively with both technical and non-technical stakeholders
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have:

• Experience building research tools, scientific software, or experimentation platforms
• Background in machine learning, AI research, or working closely with ML researchers
• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
• Built open-source tools or platforms with active user communities
• Experience with data visualization, interactive interfaces, or novel interaction paradigms
• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
• Experience leveraging AI/LLMs to build more powerful or efficient tools
• Previous work in creative tools, artist tools, or other domains requiring deep user empathy
• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Representative projects:

• Building interfaces for collecting and managing human feedback on model outputs at scale
• Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
• Developing visualization tools that help researchers understand model behavior and identify failure modes
• Designing reusable components and frameworks that enable rapid development of new research applications
• Building sandboxed execution environments for safely running AI-generated code

Annual compensation range for this role is $300,000-$405,000 USD.

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As a GTM Systems Engineer, you'll work on building the systems that turn API calls into revenue, transform messy multi-jurisdictional data into clarity, and automate what currently requires 10 people to do manually. You'll architect integrations between CRM, billing, contracts, and finance, building the workflows that turn enterprise sales from a manual slog into something elegant.

You'll be responsible for building the data pipelines and dashboards that show us what's actually happening: consumption patterns, churn signals, expansion opportunities. Not vanity metrics,the kind of real-time visibility that changes how we make decisions.

We're looking for someone with 3-5+ years of experience as a Software Engineer, Systems Engineer, or RevOps Engineer at a B2B AI or SaaS company. You should have programming proficiency in Python, JavaScript/TypeScript, and SQL, as well as CRM expertise and experience building with integration platforms such as Workato, Zapier, or Tray.io.

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As a Senior Software Engineer, you will own significant features end-to-end, tackle technical hurdles, and enrich the team through your engineering experience, including mentorship of junior engineers.

You will guide projects with multiple engineers collaborating to deliver major features. You will work jointly in a cross-functional team, including working closely with Product Managers to advocate for technical initiatives for the team.

This position reports to our Engineering Manager, who is based in London, and is looking for someone to join the team in our London office.

Please note, this is a hybrid position with an expectation to be in the office 2-3 times per week.

Responsibilities:

• Develop and maintain Dialpad's web & desktop applications using modern technologies.

• Write clear and complete architectural design documents that other team members can easily understand.

• Provide estimates on technical resources and requirements necessary to plan and begin projects.

• Develop and maintain the WFM web application and services using modern technologies.

• Write clean, modular, and maintainable code using best practices along with unit tests.

• Participate in code reviews to ensure code quality, maintainability, and scalability.

• Ensure that features are shipped on time and with the highest quality.

• Take on-call activities to support and resolve issues arising from QA and customers.

• Be responsible for deploying new releases on a weekly release cadence.

• Collaborate with cross-functional teams to build and use standard components and practices across Dialpad products.

• Mentor junior engineers and help them grow their skills and expertise.

Requirements:

• 8+ years of experience in software engineering.

• Strong experience with Python/TypeScript or other languages, Vue/React, Node.js, HTML, CSS, JavaScript, GraphQL, and cloud infrastructures [Google Cloud Platform is a plus].

• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent them.

• Experience with databases, SQL/NoSQL.

• Experience with building reusable and modular components, both frontend and backend.

• Experience with mentoring junior engineers and helping them grow their skills.

• Experience with highly agile and iterative development processes.

• Strong debugging and troubleshooting skills.

• Strong communication and collaboration skills.

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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Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.

Responsibilities

• Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success

• Partner with account executives and solutions architects to translate customer business requirements into technical solutions

• Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites

• Lead hands-on technical workshops and code reviews with customer engineering teams

• Identify common design patterns and contribute insights back to our Product and Engineering teams

• Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques

• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks

• Travel occasionally to customer sites for workshops, implementation support, and building relationships

• Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space

Requirements

• 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.

• Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale

• Strong programming skills with proficiency in Python or TypeScript and experience building production applications

• Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems

• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity

• Passion for advancing safe, beneficial AI systems through creative technical applications

• Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach

Benefits

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

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At Cloudflare, we are on a mission to help build a better Internet. We run one of the world's largest networks that powers millions of websites and other Internet properties.

This internship is targeting students with experience and interest in Data Engineering. The Data Engineer Intern delivers full-stack data solutions across the entire data processing pipeline. This role relies on systems engineering principles to design and implement solutions that span the data lifecycle - collect, ingest, process, store, persist, access, and deliver data at scale and at speed.

Responsibilities

• Work through all stages of a data solution lifecycle – analyse / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics
• Knowledge of modern enterprise data architectures, design patterns, and data tool sets and the ability to apply them
• Identify key metrics and build exec-facing dashboards to track progress of the business and its highest priority initiatives
• Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to various stakeholders to facilitate data driven decision-making

Requirements

• Currently enrolled in M.S in Computer Science, Engineering or related STEM field
• Experience working with Go, Python, SQL, Java, or equivalent programming languages
• Experience working with distributed systems (Spark etc.)
• Hands-on experience in data pipelines/ frameworks development
• Ability and interest to learn new skills and technologies quickly
• Excellent communication and problem-solving skills
• Ability to commit to a 12 week summer internship

Bonus Points

• Familiarity with container based deployments such as Docker and Kubernetes
• Experience with JavaScript, Typescript, and React

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organisations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job.

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Responsibilities:

• Team Leadership – Build, manage, and develop a team of high-performing engineers, providing mentorship and career development while fostering a collaborative and inclusive culture.
• Cross-Functional Collaboration – Partner with product, design, and technical writing teams to define the roadmap and drive execution.
• End-to-End Execution – Oversee the entire software development lifecycle, from capacity planning and roadmapping to prototyping and production deployment.
• Technical Leadership – Contribute to technical discussions and architectural decisions within your product area.
• Quality & Operational Excellence – Establish and uphold best practices to maintain a high-quality bar for all deliverables, ensuring reliability, scalability, and usability.
• Innovation & AI Integration – Leverage modern AI tools to improve team productivity and enhance product capabilities.

About You:

• Experience – 5+ years of engineering management experience, with a track record of building and leading high-performing teams.
• AI & Data Expertise – Strong background in AI, ML, and data-driven products, with experience building and scaling intelligent applications.
• Startup Mentality – Comfortable operating in a fast-paced startup environment, navigating ambiguity, and driving impactful results.
• Technical Proficiency – Deep knowledge of modern technology stacks, including cloud infrastructure, container orchestration systems, TypeScript, React, and related tools.
• SaaS & Enterprise Experience – Proven ability to deliver SaaS-based enterprise software solutions at scale.
• Process & Productivity – Experience implementing SDLC, and leveraging modern productivity software (Jira, Confluence, Figma, etc.).
• AI-Driven Development – Passion for integrating modern AI tools to optimise development workflows.

Compensation: The base salary range for this role is $280,000 to $300,000 + bonus, equity, and benefits.

Benefits:

• Flexible PTO: Because life is better when you actually live it!
• Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
• 401(k) with Matching: We’ve got your back for a secure future.
• Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
• Therapy Sessions Covered: Mental health matters, 10 free sessions through Samata Health.
• Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
• Lunch on Us: Enjoy a lunch credit when you’re in the office.

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We're hiring across several different teams:

• Modeling Platform: Develops infrastructure for training, evaluating, deploying, and serving the AI models used across Figma.
• Agent Platform: Builds the frameworks and systems powering agentic AI features throughout Figma's products.
• Search & Recommendations: Builds our platform for context-gathering for agents, surfacing content across the Figma ecosystem (text, design systems, and more).
• Extensibility: Responsible for our plugin, widget, and REST APIs that enable developers to build their own Figma integrations.

As a member of our AI Platforms teams, you'll play a critical role in developing cutting-edge AI models and new product functionality, while also upleveling the technical quality, performance, and reliability of our AI features.

You'll work alongside developers across the company, and combine industry best practices with a first-principle approach to design and build the platforms that power Figma's design and collaboration products.

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Key responsibilities include:

• Developing operational apps in a scrappy but effective way, working closely with users to iterate and support outcomes
• Building systems and infrastructure that allows applications to mature, roll out, and scale in the field
• Working closely with Anduril's corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Requirements include:

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scalable outcome
• Leader - You're skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You're deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril's mission
• You're energized by business impact & a self-starter: you'd rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used Python, SQL, React, TypeScript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

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The ideal candidate will have 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications. They will also have 2+ years leading and managing a high-performing engineering team. A passion for infrastructure, tooling, developer productivity, or performance optimisation and the ability to drive technical initiatives that improve overall team efficiency and code quality is essential.

The salary range for this role is $182,400-$247,000 USD.

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You will work closely with engineering teams to integrate security into the software development lifecycle, build secure-by-default patterns, and ensure that products are resilient against modern threats.

This role combines hands-on technical work, security engineering, and collaboration with developers to guide secure design and remediation.

You will help implement security controls, perform assessments, and contribute to the continuous improvement of our security program.

Key responsibilities include:

• Integrating application security best practices into the development lifecycle by partnering with engineering teams and enabling automated security checks within CI/CD pipelines.

• Supporting and maintaining Application Security based tooling,including SAST, DAST, SCA, and secrets scanning,and helping developers interpret and remediate findings.

• Conducting secure code reviews, threat modeling sessions, and application architecture assessments to identify risks and propose mitigation strategies.

• Developing and maintaining security automation, guardrails, and reusable components.

• Assisting in defining and improving secure coding standards and application hardening practices.

• Supporting monitoring and detection efforts by helping improve application-level logging, telemetry, and alerting.

• Assisting in incident response activities related to application vulnerabilities, including verification, triage, and remediation support.

• Staying current on emerging threats, vulnerabilities, and best practices in application and product security.

• Contributing to documentation including security requirements, guidelines, and remediation playbooks.

• Participating in internal security reviews, compliance-driven assessments, and architectural walkthroughs.

• Developing and helping maintain existing application security tools, pipelines, and workflows.

• Collaborating with engineering and product teams to ensure secure deployment and continuous improvement of applications.

Requirements include:

• A bachelor’s degree in Computer Science, Engineering, MIS, or equivalent practical experience.

• 2–5 years of experience in application security, product security, software engineering with a security focus, or a related technical role.

• Strong understanding of application vulnerabilities and mitigation strategies (OWASP Top 10, CWE).

• Experience with CI/CD tooling, Git-based workflows, and modern development practices.

• Familiarity with cloud security concepts and hands-on experience with at least one cloud platform (AWS, Azure, or GCP).

• Experience with one or more programming languages such as Python, Go, Java, JavaScript/Typescript, or Ruby. (Java and Python preferred.)

• Experience with application security tools such as OWASP ZAP, Burp Suite, SAST/DAST tools, SCA, or dependency scanning.

• Knowledge of secure coding principles, API security, authentication, authorization, and secrets management.

• Strong problem-solving skills and the ability to communicate technical issues clearly to developers and cross-functional stakeholders.

• Understanding of agile development processes and working within engineering teams.

• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events.

This role is based in our Boston office and follows a hybrid model, with an expectation of being onsite 1-2 days per week.

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Descript is on a mission to make audio and video content creation and editing fast, easy, and accessible to all. We are building a cutting-edge media editor incorporating real time collaboration, ground-breaking UX, and cutting-edge AI.

Job Description

As a Senior Infrastructure Engineer, you will drive projects that let engineers better understand and improve the performance, availability, and quality of what they ship. You will be owning and improving the core production infrastructure and building blocks upon which other engineers depend.

Responsibilities

• Develop technical and business solutions that enable engineers to improve the quality and reliability of product features and systems that they build.
• Drive improvements to the reliability of our core infrastructure, such as production clusters, networking, databases, and observability systems.
• Champion best practices during reviews of code, technical designs, and launch plans.
• Own our incident management and fire drill processes.
• Work with engineering leadership to set goals and prioritize production reliability.

Requirements

• 5+ years experience in production/site-reliability engineering OR 5+ years of server-side software engineering with an interest in working on core infrastructure
• A solid understanding of at least two of: public cloud infrastructure, Linux systems administration, and DevOps tooling.
• Basic coding skills to work on automation and technical guardrails.
• Strong written and verbal communication skills, and the ability to collaborate with other functions
• Experience mentoring engineers, including code reviews, architecture discussions, and leadership skills

Nice to Have’s

• Experience with:

+ TypeScript + Kubernetes + Google Cloud Platform + Terraform

The base salary range for this role is $191K-$250K.

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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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Your responsibilities will include:

• Designing and implementing features that power Value Reports, AI-powered Inboxes, and Guided onboarding for all of the Security products.
• Building and evolving APIs that correlate entities, findings, signals, and configuration data into coherent security stories.
• Developing scalable, high-performance systems within the Elastic ecosystem and cloud-native environments.
• Owning the reliability, observability, and operational health, from design to production.
• Collaborating with product, design, and other engineering teams to refine requirements and deliver impactful, user-centered solutions.

To succeed in this role, you will need:

• Solid programming experience in JavaScript/TypeScript, with a particular emphasis on React.js and Node.js frameworks.
• Experience designing and implementing APIs, data models, and services that support rich application workflows.
• Ability to take ownership of problems end-to-end: from clarifying requirements and proposing designs to delivering, monitoring, and iterating in production.
• Comfort working in a distributed, async-first environment and collaborating with colleagues across time zones.
• A proactive mindset: you ask the right questions, challenge assumptions, and look for ways to improve both product and engineering processes.

Bonus points for familiarity with Kibana or Elasticsearch, and contributions to open source.

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We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs).

We’re hiring an AI Solutions Engineer, Post-Sales to help customers solve real-world problems by enabling them to implement and scale ML pipelines and agentic workflows using Weights & Biases. In this role, you’ll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally.

You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback.

This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally.

Responsibilities

• Collaborate with engineering teams to ensure smooth onboarding and adoption of Weights & Biases
• Act as a trusted advisor on best practices for implementing and scaling ML pipelines and agentic workflows
• Represent the voice of the customer internally and influence our product roadmap based on real-world customer feedback
• Partner directly with leading AI teams to optimize workflows and share technical expertise

Requirements

• 3–5 years of relevant experience in a similar role
• Strong programming proficiency in Python
• Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate)
• Strong experience with Linux/Unix
• Excellent communication and presentation skills, both written and verbal
• Ability to break down and solve complex problems through customer consultation and execution

Preferred

• Background in robotics
• TypeScript experience
• Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM
• Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes
• Familiarity with data pipeline tools

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

About the Department

At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world's largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

About the Team

Domain management is the foundation for any online presence and Cloudflare Registrar is our answer to a simple and straightforward experience. The Registrar product manages the full lifecycle of the domains, including searching/registering for new domains and transferring/renewing existing ones. Onboarding domains on Cloudflare is the gateway to the vast array of Cloudflare services.

What You'll Do

We are looking for a talented systems engineer to be part of our engineering team. Come be part of the team and work with a group of passionate, talented engineers that will be creating innovative products. The amount of requests being processed is massive and we utilize all the latest technology to ensure its scalability and availability.

Responsibilities

• Designing, building, running and scaling tools and services that support the full spectrum of domain management.
• Analyzing and communicating complex technical requirements and concepts, identifying the highest priority areas, and carving a path to delivery.
• Improving system design and architecture to ensure stability and performance of the internal and customer-facing compliance concerns.
• Working closely with Cloudflare's Trust and Safety team to help make the internet a better place.
• Ongoing monitoring and maintenance of production services, including participation in on-call rotations.

Requirements

• 5+ years of experience as a software engineer with a focus on designing, building and scaling data infrastructure.
• Experience with product teams to understand goals and develop robust and scalable solutions that align with the customer need.
• Strong communication skills, especially around articulating technical concepts for technical and non-technical audiences.
• Experience working on, and deploying, large scale systems in Typescript, Go, Ruby/Rails, Java, or other high performance languages.
• Experience (and love) for debugging to ensure the system works in all cases.
• Strong systems level programming skills.
• Excited by the idea of optimizing complex solutions to general problems that all websites face.
• Experience with a continuous integration workflow and using source control (we use git).

Bonus Points

• Experience with Cloudflare Developer Platform.
• Experience with Ruby or Go (or a strong desire to learn).
• Experience working with OpenAPI.
• Experience with AI coding tools.
• Experience with Kubernetes.
• Experience with Kibana, Grafana, and/or Prometheus.
• Experience with relational databases (e.g. Postgres).
• Experience with Gitlab and Gitlab CI.
• Experience with DNS (and DNSSEC).
• Experience in the registry/registrar industry.

Equity

This role is eligible to participate in Cloudflare's equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

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Responsibilities:

• Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review.
• Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required.
• Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale

You may be a good fit if you have:

• Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• 4-10+ years of experience in a software engineering position
• Proficiency in Python
• Ability to work across the stack
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong candidates may also:

• Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems
• Have experience building metrics and measurement systems or data and privacy management systems
• Have worked closely with operational teams to build custom internal tooling
• Be proficient in TypeScript or Rust
• Have experience with Claude Code or similar agentic coding tools

The annual compensation range for this role is £255,000-£325,000 GBP.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a member of the Workers team, you will collaborate with Engineers, Designers, and Product Managers to design, build and support large scale, customer facing systems that push the boundaries of what is possible at Cloudflare's edge computing platform. You will drive projects from idea to release, delivering solutions at all layers of the software stack to empower the Cloudflare customers.

Requisite Skills

• 2-5 years professional software engineering experience
• Experience using Cloudflare Workers or Pages
• Must have strong experience with Javascript and Typescript
• Experience working in frontend frameworks such as React
• Experience with SQL and common relational database systems such as PostgreSQL
• Experience with Kubernetes or similar deployment tools
• Product mindset and comfortable talking to customers and partners
• Experience delivering projects end-to-end – gathering requirements, writing technical specifications, implementing, testing, and releasing
• Comfortable managing multiple projects simultaneously
• Able to participate in on an on-call shift

Bonus Points

• Experience with Go
• Experience with metrics and observability tools such as Prometheus, Grafana
• Experience scaling systems to meet increasing performance and usability demands
• Knowledge of OAuth and building integrations with third-parties

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We were named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

About the Team

The Core Data team’s mission is building a centralized data platform for Cloudflare that provides secure, democratized access to data for internal customers throughout the company. We operate infrastructure and craft tools to empower both technical and non-technical users to answer their most important questions. We facilitate access to data from federated sources across the company for dashboarding, ad-hoc querying and in-product use cases. We power data pipelines and data products, secure and monitor data, and drive data governance at Cloudflare.

Our work enables every individual at the company to act with greater information and make more informed decisions.

About the Role

We are looking for a systems engineer with a strong background in data to help us expand and maintain our data infrastructure. You’ll contribute to the technical implementation of our scaling data platform, manage access while accounting for privacy and security, build data pipelines, and develop tools to automate accessibility and usefulness of data. You’ll collaborate with teams including Product Growth, Marketing, and Billing to help them make informed decisions and power usage-based invoicing platforms, as well as work with product teams to bring new data-driven solutions to Cloudflare customers.

Responsibilities

• Contribute to the design and execution of technical architecture for highly visible data infrastructure at the company.
• Design and develop tools and infrastructure to improve and scale our data systems at Cloudflare.
• Build and maintain data pipelines and data products to serve customers throughout the company, including tools to automate delivery of those services.
• Gain deep knowledge of our data platforms and tools to guide and enable stakeholders with their data needs.
• Work across our tech stack, which includes Kubernetes, Trino, Iceberg, Clickhouse, and PostgreSQL, with software built using Go, Javascript/Typescript, Python, and others.
• Collaborate with peers to reinforce a culture of exceptional delivery and accountability on the team.

Requirements

• 3-5+ years of experience as a software engineer with a focus on building and maintaining data infrastructure.
• Experience participating in technical initiatives in a cross-functional context, working with stakeholders to deliver value.
• Practical experience with data infrastructure components, such as Trino, Spark, Iceberg/Delta Lake, Kafka, Clickhouse, or PostgreSQL.
• Hands-on experience building and debugging data pipelines.
• Proficient using backend languages like Go, Python, or Typescript, along with strong SQL skills.
• Strong analytical skills, with a focus on understanding how data is used to drive business value.
• Solid communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Desirable Skills

• Experience with data orchestration and infrastructure platforms like Airflow and DBT.
• Experience deploying and managing services in Kubernetes.
• Familiarity with data governance processes, privacy requirements, or auditability.
• Interest in or knowledge of machine learning models and MLOps.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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