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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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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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains.

As a Senior Machine Learning Platform Engineer, you will:

Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps. Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level. Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs. Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data. Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data. Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.

What we look for in you:

5+ yrs of industry experience as a Software Engineer. Strong understanding of distributed systems. Lead by example through high quality code and excellent communication skills. Great sense of design, and can bring clarity to complex technical requirements. Treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. Mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience building ML models and working with ML systems. Experience working on a platform team, and building developer tooling. Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).

Job ID: P75535

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $186,065-$225,000 USD

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Our Developer Tooling team focuses on the day-to-day developer experience, owning the systems and workflows that directly impact developer velocity, confidence, and code quality. We aim to reduce friction in the development lifecycle so engineers can spend less time dealing with flaky tests, broken environments, and opaque pipelines, and more time shipping high-quality product experiences for patients and providers.

As a people-first engineering leader, you will care deeply about developer experience and be technically credible and comfortable going deep on CI/CD, test systems, and developer tooling. You will also be AI-forward with hands-on experience using modern AI-assisted development tools and a clear communicator who can align stakeholders and advocate effectively for platform investments.

In this role, you will:

• Lead a team responsible for the core developer experience at Headway
• Own strategy and execution for tooling and systems that every engineer relies on to build, test, and ship software
• Advance AI-powered developer productivity and define how AI is used across engineering
• Operate within Engineering Foundations and partner closely with product engineering leaders and other platform teams
• Run tight feedback loops with the engineering organization and translate developer pain into durable improvements

If you want to shape how engineers across the company build software every day, lead the adoption of AI as a first-class part of the development workflow, eliminate flaky tests, unreliable CI, and broken local environments, and build tooling that compounds in value as the organization scales, then this role is for you.

Compensation and Benefits:

The expected base pay range for this position is $198,000-$237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.

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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.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

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

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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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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At Airbnb, quality is not a gate , it’s a platform. The Quality Platform team is reimagining how software is built, tested, and shipped at scale. We sit at the intersection of Infrastructure, Developer Experience, and Applied AI, building the systems that enable thousands of engineers across Airbnb to ship high-quality software with speed and total confidence.

As a cornerstone of Airbnb’s Engineering Hub in Brazil, this team plays a key role in expanding our global platform capabilities while building a high-impact local engineering presence. You will join at a defining moment, helping to shape both the technical direction of the platform and the culture of the Brazil hub.

Responsibilities:

• Lead a High-Impact Team: Build and grow a world-class team of engineers. Foster a culture of Engineering Craft, ownership, and operational excellence.
• Drive Full-Cycle Platform Strategy: Define the roadmap for a unified quality platform that integrates Shift-Left methodologies with robust E2E automation, ensuring high-fidelity signals at every stage.
• Transform Quality with AI: Lead the adoption of AI-native approaches, leveraging LLMs for autonomous test discovery, predictive failure analysis, and self-healing E2E automation.
• Champion 'Quality by Design': Influence how large-scale systems are built across Airbnb, ensuring that testability, modularity, and scalability are fundamental parts of our global architecture.
• Scale the Brazil Hub: Partner with the Brazil Site Lead and global leaders to establish operational rhythms, mentor talent, and build the Airbnb engineering brand in the region.

A Typical Day:

• Strategic Leadership: Review technical designs and partner with tech leads to ensure our platform provides early feedback to developers while maintaining comprehensive E2E coverage.
• People & Culture: Coach and mentor engineers, driving career growth and fostering an inclusive team environment built on trust and belonging.
• Operational Excellence: Identify and resolve systemic bottlenecks in our CI/CD pipelines and testing environments to improve developer velocity and release confidence.
• Cross-Functional Influence: Collaborate with global Infrastructure, Product, and Data leaders to promote full-cycle quality standards and align on shared technical priorities.
• Strategic Sourcing: Participate in recruiting, onboarding, and community-building efforts to scale our presence in the Brazil market.

Your Expertise:

• Leadership Mastery: 3+ years of engineering management and 7+ years in software engineering, with a proven track record of leading high-performing teams.
• Platform & Infrastructure Mindset: Deep experience building or leading infrastructure, developer tooling, or large-scale distributed systems that serve internal engineering customers.
• Full-Cycle Testing Knowledge: A strong understanding of the entire testing pyramid, including unit, integration, and high-scale E2E automation frameworks.
• Strategic Execution: Demonstrated ability to lead through ambiguity and drive complex technical strategies across geographic and organizational boundaries.
• Global Collaboration: Exceptional communication skills in English, with the ability to influence technical roadmaps and stakeholders across the globe.
• Technical Pluses: Experience with Mobile Development (iOS/Android) or Applied AI/ML is highly valued but not required.
• Commitment to Craft: A passion for engineering excellence and a curiosity for how AI can redefine the relationship between speed and quality.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

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Your responsibilities will include:

• Prototyping apt technical solutions and finding best fits for the context engine.
• Architecting and building the core Context Platform.
• Designing schemas and primitives for Decision Memory and enterprise context.
• Owning context storage systems (graph, vector, event/time-based).
• Building read/write/query APIs used by agents, products, and external apps.
• Designing permission-aware, auditable context access.

You will be working closely with agentic systems engineers and product leadership to ensure the context engine is interoperable, portable, and zero-lock-in by design.

In this role, you will own:

• Context schemas and schema evolution strategies.
• Storage and data modeling choices.
• Platform APIs and interfaces.
• Security, identity propagation, and audit foundations.
• Long-term scalability and correctness of context data.

You will not own:

• Agent behavior or orchestration logic.
• Business rules or governance policy decisions.
• Product UI or workflow automation.

The ideal candidate will have significant experience building distributed systems, data platforms, or infrastructure, and will be comfortable operating in ambiguous, greenfield problem spaces. They will also have deep expertise in data modeling and schema design, experience designing shared platforms used by many teams, and strong instincts around APIs, contracts, and backward compatibility.

Nice to have experience with knowledge graphs, metadata systems, or search/retrieval systems, experience building systems with governance, auditability, or compliance requirements, and familiarity with dbt or modern analytics stacks or developer tooling.

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

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

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

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

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In this role, you'll help bring enablement programmes to life,owning the execution, coordination, and continuous improvement of onboarding, training, and sales readiness initiatives.

You'll work closely with Sales Enablement, Sales Leadership, Product Marketing, and cross-functional partners to ensure sellers have the right training, content, and tools at the right time.

This role is ideal for someone who thrives in a fast-paced SaaS environment, sweats the details, and is energised by helping sales teams ramp faster and perform better.

Key responsibilities include:

• Sales Onboarding & Training Execution: Support the end-to-end execution of new hire onboarding programmes for SaaS Sales roles, including scheduling sessions, coordinating facilitators, and tracking completion.
• Enablement Content & Learning Management: Manage, maintain, and regularly audit the enablement content library (CMS/LMS), ensuring materials are current, relevant, and easy for sellers to find.
• Cross-Functional Collaboration: Work closely with Sales Enablement, Sales Leadership, and Product Marketing to uplevel onboarding, product knowledge, and sales methodology programmes.

The base salary range for this role is $75,000 to $110,000.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase programme (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data centre locations, a casual work environment, and a work culture focused on innovative disruption.

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This role demands deep technical expertise in backend architecture and the ability to influence decisions across the team and adjacent engineering groups. You will thrive in a fast-paced, zero-to-one environment, cutting through ambiguity to drive product-market fit.

In practice, that means using AI tools for architectural reasoning and design review, generating and validating test coverage, accelerating code review cycles, and helping engineers build judgment about when AI output is trustworthy and when it isn't.

You'll define what 'good' looks like here and bring the team along. You'll also be a force multiplier - mentoring senior engineers, raising the technical bar through architecture.

Proactively shape the technical strategy and architecture of a greenfield VDC identity ecosystem, partnering with principal engineers to ensure decisions prioritize open standards and interoperability.

Own architectural decisions in a fast-moving environment - balancing rapid delivery with long-term scalability, security, and platform integrity.

Identify and mitigate technical risks before they become blockers; escalate dependencies early and widely.

Own production health for your systems - incident response, root cause identification, and driving operational improvement projects (monitoring coverage, alert reduction, runbook quality).

Champion high engineering standards across the team, including rigorous code reviews, comprehensive unit/functional testing, and architectural review processes to ensure the platform is tamper-proof.

Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.

Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.

Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.

Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole.

Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.

Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.

Solid understanding of web authentication and authorization fundamentals - how auth flows work, token-based access (JWT, OAuth), and best practices for securing sensitive user data.

Deep expertise in building highly reliable, secure, enterprise-grade software using Java or Node.js.

Proficiency in JavaScript or TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.

Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS.

Hands-on experience with identity protocols such as OIDC4VP, OIDC4VCI, OAuth, and the W3C Verifiable Credentials data model.

Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.

Practical knowledge of cryptography: public/private key infrastructure (PKI), digital signatures, and hashing, particularly in the context of Verifiable Credentials or DIDs.

Experience building or maintaining publicly released SDKs used by external developers.

Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling, working with blockchain technology, or contributing to a 'zero-to-one' startup-like team.

The annual base salary range for this position for candidates located in Canada is between $160,000-$220,000 CAD.

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As a Staff Engineer, you'll lead initiatives that span front-end and back-end services , delivering performant, secure, and scalable features. You'll help define architecture, drive implementation, and collaborate closely with Design, PM, and Platform teams. You'll also work directly with our technical architects to help shape what we build , and how we build it.

This is a high-impact role in a growing, strategic product area with strong executive visibility.

Role Details:

• Design, build, and maintain end-to-end features using modern JavaScript and cloud-native technologies (React, Node.js, TypeScript, PostgreSQL).
• Lead technical design for key initiatives, driving quality, scalability, and maintainability.
• Build reusable and performant UI components for a best-in-class no-code builder experience.
• Own services throughout their lifecycle , including implementation, testing, deployment, observability, and incident response.
• Work closely with Product, Design, and Architecture to define the “what” and “how” of features, ensuring solutions are both user-friendly and technically sound.
• Partner with infrastructure and platform teams to optimize system performance and reliability
• Mentor and support engineers across the team, fostering a culture of quality, ownership, and continuous improvement.
• Contribute to cross-functional planning, architectural reviews, and team-wide engineering practices.

Experience:

• 6+ years of experience building modern web applications in a full-stack environment.
• Deep expertise in TypeScript, ReactJS, and Node.js (Express or similar frameworks).
• Experience designing APIs, working with relational databases (PostgreSQL or similar), and building services in a distributed, cloud-based architecture.
• A strong product mindset , you work well with Product and Design and care about delivering intuitive and elegant user experiences.
• Ability to collaborate closely with Architects to make smart technical tradeoffs, and drive alignment across teams.
• Passion for craftsmanship and high engineering standards (testing, monitoring, documentation, scalability).
• Excellent communication skills, with the ability to lead technical discussions and build consensus across functions.
• A growth mindset and interest in mentoring others and upleveling the team.

Nice to Haves:

• Experience with PostgreSQL, Docker, and Kubernetes.
• Exposure to low-code/no-code tools, workflow engines, or visual development platforms.
• Interest in AI-assisted developer tooling or automation.

Education and Training:

• Bachelor's in Computer Science, or relevant industry experience

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In this role, you'll have end-to-end ownership of the architecture and technical strategy behind automation and agentic workflows that reduce mean time to mitigate (MTTM), boost quality, and enable our Support organization to scale impact without scaling headcount. You'll work hands-on with teams across Support, Product, and Platform Engineering to build seamless systems that anticipate customer needs before they arise.

You'll lead the technical foundation that transforms how customers experience support , where issues are auto-diagnosed, solutions are delivered instantly, and engineers focus their time on the toughest challenges. Your success will mean customers moving faster, trusting Databricks deeper, and feeling the impact of your systems every day.

Key responsibilities include:

• Owning the technical vision and architecture for Databricks' Support Automation and Tooling ecosystem
• Leading hands-on development of automation to improve customer experience and Support scalability
• Driving rapid, iterative development while upholding quality, safety, and reliability standards
• Designing agentic workflows that evolve from human-in-the-loop to fully automated systems
• Implementing observability, transparency, and rollback mechanisms for AI-driven decisions
• Acting as the primary technical interface between Support, Product, and Platform Engineering to align technical roadmaps and unblock dependencies
• Setting a high engineering bar for quality, reliability, and maintainability in line with Databricks standards
• Mentoring engineers and SMEs across Software and Support Engineering functions

We're looking for someone with:

• A BS or higher degree in Computer Science or a related field
• Technical leadership experience in large projects similar to those described, including automation tooling, distributed systems, and APIs
• Extensive full-stack development experience
• Proven success designing and deploying production-grade automation in complex technical environments
• Hands-on experience with ML-assisted systems, decision support, or agentic automation
• Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems
• Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $190,000-$261,250 USD.

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Your key responsibilities will include:

• Architecting and maintaining automated schema change infrastructure for MySQL and TiDB, while implementing versioning, rollback, validation, and auditing for safe, predictable, and fast migrations.

• Ensuring the platform operates across thousands of global databases with zero downtime, enhancing resilience, observability, and recovery, and building a test harness for migration and deployment validation.

• Designing intuitive tools and APIs for seamless schema and data change management, and embedding migration workflows into CI/CD pipelines to increase velocity and reduce friction.

• Designing infrastructure for safe, large-scale schema and data operations like backfills and purging.

This role will be crucial in ensuring the scalability and reliability of schema and data operations across Databricks' global footprint, driving predictable deployments by architecting robust test harnesses and automation, elevating the developer experience by building accessible, resilient tools that make complex migrations feel simple, and guaranteeing the integrity of both schema and data through safe, efficient backfill strategies.

To succeed in this role, you will need:

• 12+ years of professional experience in backend systems or platform engineering.

• Experience in building platforms, infrastructure, or database engineering, especially with MySQL, TiDB.

• A track record of building and scaling mission-critical platforms supporting high-throughput, global services.

• Experience with schema migration frameworks, CI/CD automation and developer tooling.

• A champion of developer experience, creating clear, reliable, and user-friendly workflows.

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Key responsibilities:

Own the technical journey - Lead end-to-end onboarding for new customers,from authentication setup to data mart configuration

Integrate customer systems with Zus (APIs, SFTP, HL7, FHIR,the whole interoperability stack)

Translate messy business requirements into clean technical architectures

Build and maintain automated workflows that make implementations faster and more reliable

Drive customer success through technical excellence - Be the trusted technical advisor customers call when things get complicated

Run technical deep dives and implementation reviews that actually move the needle

Identify integration risks before they become blockers and solve them proactively

Train customers on best practices so they become power users, not support tickets

Innovate on process - Use AI tools (LLMs, automation platforms, scripting) to eliminate manual work and scale your impact

Build templates, scripts, and tooling that make the 10th implementation faster than the 1st

Document learnings and create repeatable playbooks through automation that make the whole team better

Collaborate with R&D - Partner closely with Product and Engineering to surface integration challenges and opportunities for platform improvement

Translate real-world customer integration patterns into product feedback and roadmap insights

Collaborate with R&D teams on emerging capabilities around AI, data pipelines, and developer tooling

Act as the voice of the customer when identifying opportunities to improve developer experience and reduce integration friction

You'll enjoy solving messy integration challenges, building automation that eliminates manual work, and partnering closely with Product and Engineering to continuously improve the platform.

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The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.

As a Systems Modeler for Hivemind at Shield AI, you will be a key member of a multidisciplinary Systems Engineering team, working collaboratively with Product, technical individual contributors, and Test / Quality Assurance team members to define, model, and communicate the structure and behavior of complex autonomy software systems.

This role focuses on building and maintaining system models that span the full product stack,from foundational software and autonomy algorithms to developer infrastructure to user-facing interfaces.

In addition to modeling the Hivemind SDK product, you will also use your skills to help us improve our internal engineering processes, modeling the design of the systems that support product development such as CI/CD pipelines, test and configuration systems, and software and product life cycle processes.

While your primary focus will be systems modeling, as part of a full Systems Engineering team, you will also support your team members as needed by helping with functions such as requirements development.

This role is hands-on and highly collaborative, requiring deep expertise in systems modeling and Model-Based Systems Engineering (MBSE), strong software system intuition, and working knowledge of autonomous software pipelines.

As a Systems Modeler on the Hivemind team, you will help create a shared, rigorous understanding of one of Shield AI’s most complex and critical software products.

Your models will shape architecture decisions, enable cross-team alignment, and ensure that Hivemind continues to scale as a robust autonomy platform.

WHAT YOU'LL DO:

System modeling and MBSE: Develop and maintain high-quality system models that describe architecture, behavior, interfaces, and data flows across the Hivemind SDK.

Cross-stack system understanding: Work closely with engineers across the entire product stack,including foundational software, autonomy and AI algorithms, simulation and test infrastructure, and GUI layers,to capture an accurate and fully detailed model of the Hivemind SDK product.

Process and lifecycle modeling: Model internal engineering processes such as software development lifecycle workflows, CI/CD pipelines, testing and release processes, and configuration management to improve shared understanding and enable continuous improvement.

Architecture definition and analysis: Support system architecture trade studies, identify dependencies and constraints, and analyze impacts of design decisions across software components, development workflows, and operational use cases.

Requirements support: Ensure alignment and traceability between requirements and system models.

Communication and documentation: Use system models as a primary communication artifact to align stakeholders, surface risks and gaps, and enable informed technical decision-making across teams.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field with demonstrated experience working on complex software or autonomous systems.

• Strong experience with MBSE practices, including practical application of SysML v1.6 and familiarity with SysML v2 concepts.

• Hands-on experience with Cameo Systems Modeler or equivalent MBSE tools.

• Proven ability to understand, model, and reason about large-scale autonomy software systems and developer-focused SDKs.

• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.

• Experience working cross-functionally with software engineers, autonomy / AI engineers, test engineers, product managers, and UX / GUI teams.

• Familiarity with requirements engineering concepts (e.g., requirement quality, traceability, validation) and willingness to contribute to requirements writing when needed.

• Familiarity with software development workflows in modern languages (C++17 or later, Python, Go, etc.).

PREFERRED QUALIFICATIONS:

• Prior experience modeling autonomy or robotic systems.

• Experience supporting or defining developer tooling, SDKs, or platforms.

• Exposure to safety-critical or mission-critical software development environments.

• Experience using system models to drive reviews, design milestones, or technical decision forums.

• Experience creating software tooling. For example, scripts to import information into Cameo.

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The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.

As a Requirements Engineer for Hivemind at Shield AI, you will be a key member of a multidisciplinary systems engineering team, working collaboratively with Product, technical individual contributors, Test / Quality Assurance team members, and systems modelers to translate product user stories into clear engineering requirements with testable metrics.

This role involves defining, modeling, and validating the Hivemind software system and its applications. It is hands-on and highly collaborative, requiring expertise in requirements formulation, traceability, management, systems modeling, and knowledge of autonomous software pipelines.

Responsibilities:

• Work cross-functionally with Product Managers, technical individual contributors, and Quality Assurance team members to translate high-level customer feature requests into clear, detailed technical requirements aligned with product vision and roadmap.

• Identify dependencies, constraints, edge cases, and risks within proposed product or technical requirements.

• Author clear and well-structured documentation, including acceptance criteria, traceability links, and system models.

• Collaborate with the Quality Assurance, Test, and development teams to validate that requirements are implemented correctly.

• Track and manage requirements throughout the development lifecycle.

• Serve as the point of integration between customer intent and engineering execution.

Qualifications:

• Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field.

• Extensive experience generating product and test requirements for software products.

• Working knowledge of requirements management tools such as DOORS, Jama, or Jira.

• Comprehensive understanding of robotics and autonomy concepts.

• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.

Preferred Qualifications:

• Experience supporting or defining developer tooling, SDKs, or platforms.

• Exposure to safety-critical or mission-critical software development environments.

• Experience creating software tooling or using software APIs for common requirements and project management tools.

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

As the Engineering Manager for DPX, you'll lead a team of engineers building the products and platform that data partners use to manage their integrations with Plaid. The role requires a blend of technical depth, strategic thinking, and cross-functional leadership to scale partner-facing products from early-stage concepts to industry-leading infrastructure.

Responsibilities:

• Own technical execution and delivery for the DPX roadmap, including the Data Partner Dashboard, onboarding redesign, health monitoring, and migration tooling.
• Manage and grow a team of engineers across multiple locations.
• Partner with PM and cross-functional teams (Solutions Engineering, Data Partnerships, Data Partner Support) to align on priorities and unblock execution.
• Drive engineering quality: code reviews, design reviews, architectural decisions, reliability standards.
• Hire and develop engineers.
• Establish team processes and norms.

Qualifications:

• 6+ years of engineering experience, with 1.5 to 2 years managing engineering teams.
• Experience shipping customer-facing or partner-facing products.
• Strong systems design and architectural judgment.
• Track record of growing engineers and building team culture.
• Excellent communication skills, especially with non-engineering partners.
• Bonus: experience with API platforms, developer tooling, fintech, or partner ecosystems.

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The Intelligent Tooling team is being built from the ground up, and our mission is to establish the technical foundations, operating model, and internal platforms that embed AI deeply into Plaid's coding tools, internal systems, and the entire software development lifecycle. When we are successful, engineers across Plaid will delegate lower-leverage work to AI agents, move faster with confidence, and spend more of their time designing and inventing for customers.

As the Engineering Manager for Intelligent Tooling, you will lead an engineering team responsible for some of the highest-leverage systems at Plaid. This role is central to executing Plaid's 2026 engineering strategy to supercharge the engineering organization with AI tooling, and requires a leader who can both build the team and personally operate at the frontier of AI-powered developer workflows to drive real, organization-wide change.

Responsibilities

• Build and grow the Intelligent Tooling engineering team from the ground up, including hiring, setting early technical direction, and establishing team culture and operating norms.
• Develop, integrate, and own Plaid's AI-powered developer tooling and internal platforms, including AI coding tools, agentic workflows, and AI-native SDLC automation.
• Take ownership of existing internal tooling platforms (e.g. Retool, Wadsworth, ID2), ensuring clear ownership, reliable operations, and steady improvements to developer experience.
• Drive organization-wide adoption of AI tooling by embedding AI directly into core engineering workflows such as coding, testing, debugging, and incident response.
• Partner closely with DevEff, Security, Privacy, Legal, and other cross-functional partners to ensure AI tooling is safe, compliant, scalable, and aligned with Plaid’s standards.
• Define and execute against clear success metrics (e.g. usage, quality, reliability) to measure the real impact of Intelligent Tooling across the engineering organization.

Qualifications

• 8–10+ years of engineering experience, including time as an IC building production systems.
• 3+ years of experience managing and scaling engineering teams.
• Demonstrated success driving adoption of new tools or workflows, ideally AI-powered, for their own team.
• Hands-on experience with AI coding tools, agentic workflows, or LLM-powered developer systems.
• Strong technical judgment with depth in at least one of: developer tooling / DX platforms, infrastructure or platform engineering, or applied AI systems in production.
• Experience translating ambiguous strategy into execution and delivering measurable outcomes.
• Excellent communication and stakeholder management skills.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries,building agents, automating workflows, moving fast. But they're doing it in silos. This role exists to change that: to take those scattered experiments and turn them into shared infrastructure, shared context, and shared capability. The goal is a multiplier effect,where the most ambitious AI work inside Mercury lifts the velocity of everyone else.

You'll join a team that has already started building Mercury's internal AI platform and enablement layer. Your work will be to extend, harden, and scale what's in motion, and to help partner teams adopt it.

You'll build and evolve MCP servers that connect internal systems and data sources into a coherent interface for agents and engineers. Expand and operate our LLM gateway infrastructure: routing, rate limiting, cost attribution, and observability across teams. Turn early patterns into durable defaults: shared prompt libraries, guardrails, and policy-as-code so teams can move fast safely.

You'll shape and maintain structured context artifacts,clean, reliable, agent-consumable,so LLMs working in Mercury's systems can reason accurately about our domain. Improve internal knowledge discoverability and retrieval so both humans and agents can quickly find accurate answers. Partner with domain teams to standardize key sources of truth, and keep them fresh.

You'll build and refine sandbox environments and tooling that let engineers experiment with AI safely and at speed. Create self-service scaffolding so non-engineers,PMs, ops, finance,can prototype and deploy AI-powered workflows with minimal hand-holding. Build playgrounds and evaluation harnesses so internal AI agents can be tested and iterated in controlled environments before hitting production.

This list is illustrative. Priorities will shift as we learn; the right person will help choose the next highest-leverage work.

The ideal candidate has 5+ years of backend development experience in complex, production systems,you've built things that other engineers depended on. Is fluent across programming languages and can navigate platform engineering, infrastructure, and developer tooling without needing a map. Has hands-on experience building LLM-powered systems,RAG pipelines, agents, eval frameworks,and has shipped at least one of these to production. Understands the real tradeoffs in AI deployments: cost modeling, observability, latency, and safety,not just the exciting parts. Is high-agency and self-directed. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done. Communicates clearly across technical and non-technical audiences,you can explain what you built and why it matters.

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Responsibilities

• Build and maintain service frameworks and shared libraries
• Drive AI adoption, championing AI tools, harnesses, and agentic software development, and establishing standards for APIs, background jobs, and event-driven systems.
• Improve developer workflows (local development, testing, CI/CD, service scaffolding)
• Partner with infrastructure teams to help define how services run in production
• Ensure services are observable, reliable, and production-ready by default
• Drive adoption of platform standards across the organization
• Contribute to system design and architecture across multiple domains

Qualifications

• A minimum 10 years in software engineering, site reliability engineering, or platform engineering
• Advocate for the integration of AI throughout the SDLC to accelerate and improve delivery velocity.
• Strong experience building platforms and paved paths for systems in production environments
• Experience with distributed systems and service-oriented architectures
• Proficiency in modern programming languages such as, Kotlin, Typescript, Go, Python
• Familiarity with cloud infrastructure and containerized environments (e.g., GCP, Kubernetes, Docker)
• Experience building shared libraries, frameworks, or internal tooling
• Ability to work across teams and influence technical direction

Nice to Have

• Familiarity with observability tooling (metrics, logging, tracing)
• Experience with CI/CD systems and developer tooling
• Exposure to high-scale or multi-service environments

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Our Engineering team believes in open-source work and transparency with our teammates and users. We encourage each other to think big, run experiments and follow our curiosity so we can build better tooling that lets developers shine and empower their users.

Responsibilities:

• Building and maintaining production systems at scale
• Designing and implementing modern APIs
• Managing database migrations and infrastructure configuration
• Writing maintainable, well-tested, modular code
• Collaborating with cross-functional teams to deliver high-quality software

Requirements:

• 8+ years of experience building and maintaining a production system at scale
• Understanding of modern API development best practices and design
• Experience in building data models, managing database migrations and best practices, and infrastructure configuration
• Ability to thrive in a fast-paced environment
• Growth mindset and constant curiosity and fearlessness to dive into the unknown
• Excellent written and verbal communication skills, including the ability to write clear technical documentation

Preferred Qualifications:

• Strong preference for experience in an API-based business and in payments, fintech, or crypto
• Written open-source developer tooling
• Published about your work (open source code, internal or external presentations, blog posts, etc.)
• Past experience working in authentication or security

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic's Infrastructure organisation is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

_Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams._

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

_Deadline to apply: None. Applications will be reviewed on a rolling basis._

The annual compensation range for this role is listed below.

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

Annual Salary:

$405,000 - $485,000USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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

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

How we're different

We believe that the highest-impact work in AI safety and development happens at the intersection of technical expertise and societal responsibility. We're committed to building a team that reflects a wide range of backgrounds, perspectives, and experiences. We believe that diversity in all its forms drives better decision-making, more innovative solutions, and greater impact.

We're an equal opportunities employer and welcome applications from all qualified candidates.

If you're excited about this role and want to learn more, please don't hesitate to reach out to us. We look forward to hearing from you!

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Why this role matters

AI capabilities are advancing faster than developers can keep up. The gap between what Claude can do and what developers know how to build with it is widening with every model release, every new API feature, and every capability unlock. Closing that gap isn't just a content problem—it's a strategic imperative that directly affects how this technology gets adopted, integrated, and ultimately trusted in production systems around the world.

The role

As developer education lead, you'll own the end-to-end strategy, roadmap, and execution for how developers learn to build with Claude. This is not a traditional content role. You'll sit at the intersection of DevRel, product, and education—deeply embedded in product launches, working cross-functionally with engineering, developer relations, GTM, and the broader education team to ensure every major capability ships with the educational content developers need to adopt it. This is a technical role, with an expectation of using and testing dev tools in your workflows.

Key responsibilities

• Own the developer education content roadmap—prioritizing what gets built, when, and for whom across video, written, and course formats

• Partner deeply with product and engineering teams on launches—ensuring every major feature, API update, and capability unlock ships with developer education content + documentation

• Collaborate with DevRel to align on YouTube strategy, community content, and developer community programs (e.g., ambassador programs, public certifications)

• Manage and coordinate with video producers, technical writers, and contractors to execute against the roadmap

• Conduct ongoing content audits—identifying what to update, remove, and add as Claude's capabilities evolve (e.g., new API features, deprecations, agentic capabilities)

• Define and track content performance metrics that go beyond vanity metrics—measuring actual developer adoption, activation, and fluency gains

• Work with cross-functional teams in MoE, marketing and product to ensure education reaches developer audiences when and where they need it and has sufficient parity with offerings across non-technical audiences

You might be a good fit if

• You have 5+ years in developer content strategy, developer education, DevRel, or technical content leadership—ideally at a developer tools or platform company

• You've owned a content roadmap end-to-end and can point to systems you built for prioritizing, producing, and measuring technical content at scale

• You're deeply cross-functional—comfortable working across engineering, product, marketing, and community teams and translating between their priorities

• You understand developers as an audience, because you are one. You're experienced building with developer tools and can comfortably jump in to use and understand new dev tools independently

• You're a strong writer and editor who can translate complex technical concepts without dumbing them down

• You use AI tools (ideally Claude) extensively in your own work—not as a novelty, but as core infrastructure for how you think, write, and ship

• You're comfortable building processes from scratch in fast-moving, ambiguous environments where the product itself is changing rapidly

• You have a strong perspective on how developer education needs to evolve as AI capabilities advance toward AGI

Familiarity with Python is required for this role.

Strong candidates may also have

• Experience managing video content programs (YouTube channels, course platforms, tutorial series)

• Background in API documentation, developer experience, or technical writing

• Familiarity with AI/ML concepts and the developer tooling landscape

• Experience with developer education platforms (Skilljar, Coursera, or similar)

• Prior experience at a high-growth technology company navigating rapid product evolution

The annual compensation range for this role is listed below.

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

Annual Salary:

$290,000 - $365,000USD

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As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organisations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities:

• Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Korean enterprise customers

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

• Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Native or business-level fluency in Korean and professional proficiency in English

• Experience working with Korean enterprise customers and understanding local business culture and decision-making processes

• Experience with the unique technical requirements and technical procurement process of enterprise tech companies

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry

• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• Make ambiguous problems clear and identify core principles that can translate across scenarios

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

• Stay up-to-date and informed by taking an active interest in emerging research and industry trends

• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

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You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You'll be responsible for leading & growing the EMEA Applied AI, Solutions Architect team. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships.

In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities:

• Manage and mentor a team of Applied AI, Solutions Architect providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Digital Native enterprise customers
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
• Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases
• Contribute to thought leadership through conference presentations, webinars, and technical content creation
• Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• 3+ years of product management experience
• Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
• Experience with the unique technical requirements and technical procurement process of enterprise tech companies
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
• Have excellent communication, collaboration, and coaching abilities
• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Make ambiguous problems clear and identify core principles that can translate across scenarios
• Have a passion for making powerful technology safe and societally beneficial
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

The annual compensation range for this role is £325,000 - £390,000GBP.

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As Manager of AI Deployment at Cursor, you'll lead and develop a team of AI Deployment Managers supporting some of our most strategic enterprise customers. This role exists to scale adoption quality and consistency as demand accelerates — translating Cursor's momentum into repeatable, high-impact deployment outcomes while preserving the speed, flexibility, and developer-first ethos that make Cursor successful.

You'll own the post-sale experience for our enterprise segment, working closely with Sales and Field Engineering to ensure customers achieve measurable engineering and business value from Cursor. This is a highly cross-functional role that sits at the intersection of customer success, technical depth, and strategic leadership.

What you'll do

• Hire, lead, and develop a team of AI Deployment — including onboarding, coaching, performance management, and ongoing skill development

• Own post-sale account planning, with accountability for account health, usage, risk mitigation, and expansion pipeline generation

• Act as an escalation point for complex deployments and high-stakes enterprise accounts

• Build lightweight, scalable processes that codify what works while preserving speed, flexibility, and low friction

• Guide best practices around rollout strategy, prompt design, context configuration, and internal enablement

• Partner closely with Sales and Field Engineering to deliver a seamless post-sale experience and support expansion opportunities

• Collaborate with Product, Engineering, and Marketing to advocate for customer needs, influence roadmap priorities, and drive product adoption

You may be a fit if

• You have 4+ years of experience leading customer-facing technical teams in TAM, Solutions, Deployment, or similar roles

• You have a strong understanding of software development lifecycles, engineering org structures, and AI-enabled developer tooling

• You have a proven track record of driving adoption and influencing expansion through customer outcomes

• You have executive presence and strong communication skills — comfortable whiteboarding with developers and discussing business value with VP- and CTO-level stakeholders

• You're a high-agency, scrappy operator who thrives in fast-moving, ambiguous environments

• You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

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You'll be an IC Strategic AE selling Cursor to high-tech companies (cloud/software, AI-native, internet platforms) where buyers are deeply technical and competitive evaluations are the norm. You'll win by translating Cursor's product into measurable engineering outcomes and scaling adoption across large developer organisations.

What you'll do

• Build and execute account plans across a focused set of high-tech strategic accounts
• Prospect into Engineering leadership, DevEx, Platform, and Security; generate pipeline
• Run structured discovery around SDLC friction, cycle time, reliability, and quality
• Lead POVs in real repos and workflows; partner with Solutions Engineering for rollout plans
• Navigate enterprise requirements (admin, policy, audit logs, identity, security review)
• Close new logos and drive expansion to standardise Cursor across teams and regions
• Capture competitive insights and improve messaging, objection handling, and process

You may be a fit if

• 7+ years enterprise SaaS selling experience; you've sold to technical buyers
• Strong grasp of developer tooling and the modern SDLC (IDE, CI/CD, code review, security)
• You're a true hunter - you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand
• You can run a tight, value-driven evaluation and win competitive bakeoffs
• Self-directed IC who enjoys ambiguity and building playbooks as you scale

Name Email ↥ Upload file LinkedIn URL GitHub Profile

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Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

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As Manager of AI Deployment at Cursor, you'll lead and develop a team of AI Deployment Managers supporting some of our most strategic enterprise customers. This role exists to scale adoption quality and consistency as demand accelerates — translating Cursor's momentum into repeatable, high-impact deployment outcomes while preserving the speed, flexibility, and developer-first ethos that make Cursor successful.

You'll own the post-sale experience for our enterprise segment, working closely with Sales and Field Engineering to ensure customers achieve measurable engineering and business value from Cursor. This is a highly cross-functional role that sits at the intersection of customer success, technical depth, and strategic leadership.

What you'll do

• Hire, lead, and develop a team of AI Deployment — including onboarding, coaching, performance management, and ongoing skill development

• Own post-sale account planning, with accountability for account health, usage, risk mitigation, and expansion pipeline generation

• Act as an escalation point for complex deployments and high-stakes enterprise accounts.

• Build lightweight, scalable processes that codify what works while preserving speed, flexibility, and low friction

• Guide best practices around rollout strategy, prompt design, context configuration, and internal enablement

• Partner closely with Sales and Field Engineering to deliver a seamless post-sale experience and support expansion opportunities

• Collaborate with Product, Engineering, and Marketing to advocate for customer needs, influence roadmap priorities, and drive product adoption

You may be a fit if

• You have 4+ years of experience leading customer-facing technical teams in TAM, Solutions, Deployment, or similar roles

• You have a strong understanding of software development lifecycles, engineering org structures, and AI-enabled developer tooling

• You have a proven track record of driving adoption and influencing expansion through customer outcomes

• You have executive presence and strong communication skills — comfortable whiteboarding with developers and discussing business value with VP- and CTO-level stakeholders

• You're a high-agency, scrappy operator who thrives in fast-moving, ambiguous environments

• You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

Name\ Email\ ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Will you now or in the future require visa sponsorship to work in the country where this position is located?\* Has someone at Cursor referred you for this role? If so, please include their email here

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards.

About the Role

As a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows.

Responsibilities

• Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack.

• CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes.

• Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning, and telemetry capture.

• Automation and developer tooling: Develop tools for API and firmware validation, result triage, log capture, replayable bug reports, and workflows that improve engineering velocity and debugging efficiency.

• Quality signals, metrics, and flake control: Build dashboards and alerts for pass rates, stability, and release readiness; detect and quarantine flaky tests; drive root-cause analysis with owners; and track delivery metrics that protect release health.

• Vendor enablement: Create clear procedures and tooling that allow QA vendor technicians to execute repeatable processes, review their reports, and maintain a queue of rig maintenance and repairs.

• Cross-team collaboration: Partner with embedded and systems software teams on testability, and with release infrastructure engineers on pipelines, signing, staged rollouts, and rollback/forward strategies.

Requirements

• Have deep experience building software quality, test automation, or developer tooling systems for hardware products shipped at scale.

• Are proficient in Python, C, C++, or Rust, and have strong Linux fundamentals, including processes, networking, storage, and udev/systemd.

• Have experience building CI/CD pipelines, artifact management systems, and reproducible or isolated test environments.

• Have demonstrated success designing and operating hardware-in-the-loop labs and device orchestration systems at scale.

• Are fluent with test reliability techniques such as failure triage, flake detection and quarantine, and signal-quality guardrails.

• Have strong debugging skills across software, firmware, devices, and release infrastructure.

• Work well across teams and enjoy improving the systems that make engineering and release processes more seamless.

What We Offer

• Competitive salary and equity package

• Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and paid parental leave

• Opportunities for professional growth and development, including training and mentorship programs

• Collaborative and dynamic work environment with a team of experienced professionals

• Flexible work arrangements, including remote work options

• Access to cutting-edge technology and tools

• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced software engineer looking for a new challenge, please submit your resume and a cover letter explaining why you are a good fit for this role. We look forward to hearing from you!

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Data Scientist, Codex

Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance related bonus for eligible employees and benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity.

About the Role

As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

• Embed with the Codex product team to discover opportunities that improve developer outcomes and growth

• Design and interpret A/B tests and staged rollouts of new coding models and product features

• Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity

• Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type)

• Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals)

You might thrive in this role if you have

• 5+ years in a quantitative role at a developer-facing or high-growth product

• Fluency in SQL and Python; comfort with experiment design and causal inference

• Experience defining product metrics tied to user value

• Ability to communicate clearly with PM, Eng, and Design—and to influence product direction

You could be an especially great fit if you have

• Strong programming background; ability to prototype, run simulations, and reason about code quality

• Familiarity with IDE/extension telemetry or developer tooling analytics

• Prior experience with NLP/LLMs, code models, or evaluations for generative coding

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

• Own and execute our reseller, integrator, and consulting partner strategy across the UK & Ireland
• Build and deepen relationships with leading UKI-based systems integrators, consultancies, and reseller partners

What you need

• 5+ years' experience in channel, reseller, or ecosystem partnerships within SaaS, developer tooling, or AI platforms

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