Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue , and that revenue runs through Billing Platform. The Product Monetization team builds the on-rails that let every product team at Anthropic , Claude.ai, the Developer Platform, Claude Code , monetize features and convert users into paying customers without becoming billing experts themselves.

We're looking for an Engineering Manager to lead this team. You'll own the platform layer where product meets revenue: the integration contracts product teams plug into, the constructs that let the business run pricing experiments, the self-serve and promotional capabilities Growth builds on, and the payment methods that open up global markets.

Responsibilities

• Lead and grow a team of engineers building the revenue-enablement platform , hiring, coaching, and setting a high technical bar.
• Build the on-rails: clean billing API abstractions and integration contracts so product teams can onboard and launch paid SKUs seamlessly, without billing logic leaking into their stack.
• Define and own the platform's reliability bar , tiered SLOs and SLAs organized by customer impact: error budgets on the "can the customer do the thing" flows, quality targets on everything else.
• Build the platform constructs that let the business run pricing experiments and iterate on monetization models with real data.
• Partner closely with Growth , own the promotional, trial, and self-serve billing platform they build campaigns on top of. Your team owns the platform; Growth owns the campaigns.
• Expand payment method coverage globally, driving up authorization rates and conversion in markets where default card flows underperform.
• Ship new monetization models that keep pace with how the product portfolio evolves.
• Drive down time-to-market for new SKUs and product launches , the team's core input is "product team needs to charge for X," and your job is to make that fast.

Requirements

• Have 3+ years of engineering management experience, with 8+ years total in the industry.
• Have led teams building payments, billing, subscription, or monetization systems , and know firsthand how a small pricing change ripples through the whole stack.
• Have strong opinions about platform boundaries and API design.
• Are good at cross-functional work , Growth, Legal, Customer Support, Safeguards, and product teams will all have opinions and you need to keep them aligned.

Nice to haves

• Direct experience with modern billing and payment platforms , and opinions on when to build vs. buy.
• Built or scaled local payment method adoption for international markets.
• Run a promotional/offers platform that fed directly into growth or subscription conversion funnels.
• Experience in a PLG or self-serve SaaS environment where billing UX is a conversion lever, not an afterthought.
• Managed teams through regulatory or compliance-heavy work (consumer financial terms, tax, etc.).

Benefits

The annual compensation range for this role is $405,000-$485,000 USD.

Logistics

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

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As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations.

Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries.

We are looking for a technical and strategic Engineering Manager to lead our European FDE team.

This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence.

Why this role is unique:

• Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence.

• Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle.

• Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP.

• Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment.

This is a rare opportunity to help define how the next generation of AI applications is built and deployed.

If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you.

At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise.

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

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

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

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As an Engineering Manager, you will:

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

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

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This leader will own the Databricks Spark Connect platform, drive reliability and execution for a critical Serverless component, and lead our open source Spark Connect strategy in Apache Spark. This includes owning the OSS roadmap, partnering across teams, and driving adoption of Spark Connect in the open source ecosystem.

Responsibilities:

• Lead the team responsible for Spark Connect, a critical component of Databricks Serverless.
• Own platform reliability, scalability, and operational excellence.
• Drive Databricks' technical leadership in open source Spark Connect.
• Define and execute the strategy for OSS Spark Connect adoption and ecosystem growth.
• Partner across product, runtime, serverless, and OSS stakeholders to shape roadmap and architecture.
• Hire and grow a strong engineering team with high technical and operational standards.

Requirements:

• 10+ years of experience in distributed systems, infrastructure, or data platforms.
• 3+ years of experience managing high-performing engineering teams.
• Strong technical depth and a track record of owning critical production systems.
• Experience leading cross-functional initiatives and influencing technical direction.
• Passion for open source, developer platforms, and large-scale systems.

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

Zone 2 Pay Range $180,500-$248,150 USD

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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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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Job Description:

We're looking for an Engineering Manager to lead the Developer Fundamentals team within Developer Foundations.

In this role, you'll lead a team responsible for improving the daily development experience for every Pinterest engineer by shaping the core workflows developers rely on to write, review and ship code.

The team owns critical surfaces in the developer workflow including source control, developer CLIs, developer environments and code navigation.

Key Responsibilities:

• Lead and grow a team of 5+ engineers responsible for the core developer workflows used by every Pinterest engineer, setting clear direction, execution standards and operational excellence for the platform

• Own the team's roadmap in partnership with the TL, balancing strategic initiatives with operational reliability

• Drive execution on key initiatives including AI-native developer workflows, developer environment modernization and CLI standardization

• Champion AI-native development practices across the team, using AI coding tools to accelerate delivery and model best practices for the broader engineering organization

• Define and drive the team’s approach to AI developer environments, including sandbox usability, agent tooling integration and AI-assisted code review workflows

• Build a culture of developer empathy: understand the pain points of Pinterest engineers and translate them into high-impact improvements

• Establish and improve operational practices including oncall rotations, incident response and production health metrics

• Partner with cross-functional teams (Developer Infrastructure, Security, ML Infrastructure) to ensure developer workflows integrate smoothly with underlying systems

• Hire and develop engineers, creating clear growth paths and a high-trust team environment

Requirements:

• 3+ years of engineering management experience leading teams of 4+ engineers

• Experience improving developer experience with a track record of identifying and removing friction in engineering workflows

• Strong technical background building or operating developer platforms such as source control systems, developer CLIs, developer environments, build systems or CI/CD

• Experience improving developer workflows and operating developer platforms at scale in large engineering environments, including ownership of oncall, reliability improvements and service health metrics

• Ability to partner effectively with a Tech Lead to align people leadership with technical direction

• Hands-on experience using AI coding assistants and developer tools in day-to-day engineering work, with an ability to evaluate and adopt emerging tools effectively

• Familiarity with how AI is transforming developer workflows – code generation, code review, agent-driven development and developer environments

• Strong communication skills with the ability to articulate technical strategy to both engineers and senior leadership

• Bachelor's degree in Computer Science, a related field or equivalent experience

Additional Information:

This job posting is for an open vacancy.

Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments.

What this looks like day-to-day can vary based on the needs of each organization or role.

This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in Ontario.

#LI-HYBRID #LI-CH1

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Your primary focus will be on delivering an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to achieve this goal.

Key responsibilities include:

• Providing meaningful input to technical designs and direct hands-on contributions to projects in the cloud networking space
• Growing, leading, and managing a small team of talented engineers
• Supporting your team's professional growth and maintaining high performance through mentorship and coaching
• Working with tech leads, peers, and partners to define and execute on a coherent vision and roadmap for Airbnb's cloud network infrastructure and related components
• Working with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services
• Building cross-region gateways and load balancers for global Airbnb services
• Working with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services
• Nurturing a culture of technical quality from design, through code review, to production
• Building strong partnership and alignment with teams across engineering
• Nurturing relationships with open source communities and external service partners

As a successful candidate, you will have a strong background in engineering management, with 2+ years of experience and 8+ years of relevant software development experience in a fast-paced tech environment. You will also have experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, as well as experience running large-scale networking systems and software (e.g. proxies, DNS, gateways).

Additionally, you will have excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.). You will also have strong problem-solving skills and experience leading teams on-call for production infrastructure.

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You will also be responsible for recruiting and nurturing exceptional engineering talent, fostering an inclusive team culture and environment that encourages collaboration, technical excellence, and innovation, and making sure the team's partnerships with key stakeholders in Engineering, Design, and Product are strong.

To be successful in this role, you will need to have 5+ years of engineering management experience, with 9+ years of relevant software development industry experience in a fast-paced tech environment. You will also need to have deep expertise with backend systems and complex data modeling in large-scale consumer applications, excellent communication and presentation skills, and an end-to-end, product-oriented mentality that transcends team boundaries and helps find globally optimal solutions.

As a member of our team, you will have the opportunity to work on a wide range of projects and contribute to the development of new features and capabilities that will help us achieve our mission of making it easier for people to host on Airbnb.

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

We're seeking an experienced Engineering Manager to lead the Ledger team within the Product Foundations - Platform Product Group.

Ledger is one of the core services for Coinbase, responsible for processing transactions and managing the funds of our users.

As one of Coinbase's most mission-critical services, Ledger sits at the core of our platform, processing billions in transactions and securing the assets of millions of users.

Today, our scale and complexity of operations have far surpassed the original design of Ledger and fund management systems.

This presents a rare and exciting opportunity to rearchitect foundational infrastructure that will shape Coinbase's success for the next decade.

Responsibilities:

• Build and manage engineering teams, to guide the development of features, services, and infrastructure.

• Coach your direct reports to have a positive impact on the organization and support their career growth.

• Implement the multi-year strategy for our team and collaborate with engineers, designers, product managers and senior leadership to turn our vision into a tangible roadmap every quarter.

• Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes.

• Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.

• Work closely with our talent organization to identify and recruit exceptional engineers who align with Coinbase's culture and will help the team scale.

• Contribute to and take ownership of processes that drive engineering quality and meet our engineering SLAs.

What We Look For In You:

• At least 7 years of experience in software engineering.

• At least 2 years of engineering management experience.

• You possess a strong understanding of what constitutes high-quality code and effective engineering practices.

• An execution-focused mindset, capable of navigating through ambiguity and delivering results.

• An ability to balance long-term strategic thinking with short-term planning.

• Experience in creating, delivering, and operating multi-tenanted, distributed systems at scale.

• You can be hands-on when needed – whether that’s writing/reviewing code or technical documents, participating in on-call rotations and leading incidents, or triaging/troubleshooting bugs.

• 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:

• Prior experience leading a Platform or similar domain team.

• Experience designing and operating ledgering or trading systems at scale.

• Experience with financial data, accounting systems, or high-precision transaction processing.

• Experience with Go, Kubernetes, Postgres, or similar technologies.

• You have gone through a rapid growth in your company (from startup to mid-size).

• Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services.

Job #: P76571

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):

$218,025-$256,500 USD

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As the Engineering Manager, you will play a critical role in driving the technical vision, architecture, and execution for the service. You will lead a team of software engineers and recruit new team members to realize the vision.

Key responsibilities include:

• Defining and driving the stateful user code execution service vision.
• Partnering with serverless platform teams to build the service.
• Owning the roadmap and execution, ensuring all team deliverables are met with high quality and on schedule.
• Defining team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
• Collaborating cross-functionally with teams across the stack.

We are looking for an experienced Engineering Manager with a strong track record of technical leadership and impact. The ideal candidate will have 10+ years of software engineering experience, 3+ years of engineering management experience, and expertise in distributed systems, cloud platforms, and modern web application architectures.

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This role combines collaboration with hand-on work. You’ll partner with tech leads to set the technical direction for your team and own its execution. You should also be ready to go deep on system design and contribute directly when needed.

Responsibilities:

• Lead and grow a team of senior and staff-level engineers, setting clear expectations and maintaining a high bar for execution.

• Own architecture, system design, and long-term technical direction for your team's systems, with emphasis on reliability and performance.

• Contribute directly to design reviews, prototyping, and debugging critical issues.

• Partner with researchers and product teams to define roadmaps and prioritize work.

• Hire and close senior engineering talent. Mentor engineers into technical leaders.

Skills and Qualifications:

• Minimum qualifications:

• Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.

• 8+ years of experience building and scaling production systems, including system design and distributed systems.

• 3+ years of engineering management experience in high-growth environments.

• Preferred qualifications , we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:

• Experience managing teams of senior or staff-level engineers.

• Background in infrastructure, systems engineering, or developer productivity.

• Familiarity with AI/ML systems, data infrastructure, or high-performance computing.

• Track record of building or contributing to widely used systems, platforms, or tools.

Logistics:

• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $400,000 - $500,000 USD.

• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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We're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Job Summary

We’re seeking a talented Manager II, Engineering to take on a leadership role within the Programmatic Offsite Ads team. You will lead critical efforts to define, build, and evolve the ad features which power Pinterest’s ads business through off-platform supply partnerships.

Responsibilities

In this pivotal role, you will take on the challenge of defining and executing the offsite ads strategy for programmatic ads at Pinterest.

Own the end-to-end strategy and roadmap for driving programmatic off-platform ads delivery, driving high-quality outcomes which meet advertiser expectations.

Partner closely with Product, Design, Research, Sales, Policy, and the broader Monetization org to define new product features, and advertising experiences that balance user delight, advertiser outcomes, and platform integrity.

Lead experimentation and optimization of advertising campaigns, using A/B testing and rigorous measurement (e.g., viewability, engagement, conversion, advertiser performance, user sentiment) to drive continuous improvement.

Work with external supply partners to ensure our off-platform ads are well-supported in the programmatic ecosystem, and that Pinterest’s creatives adhere to performance standards.

Collaborate with serving, infra, and ML teams to ensure that programmatic ads are backed by robust infrastructure, measurement, and policies.

Lead mission-critical initiatives involving 8-10 engineers across backend and frontend stacks, and directly influence their day-to-day work through mentorship, coaching, and clear technical direction.

Build and maintain a culture of inclusivity, craft, and operational excellence within the Programmatic Offsite Ads team.

Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations.

Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality.

Requirements

BS (or higher) degree in Computer Science, or a related field.

2-3+ years of relevant engineering management experience.

3-4+ years of relevant industry experience within the ads domain.

Experience designing or delivering high scale, real time distributed systems.

Working knowledge of programmatic advertising and OpenRTB (DSPs/SSPs, auctions, targeting, measurement), and experience partnering with external platforms.

Proven track record partnering with Product and Design to define new product features, run experiments, and use data to iterate on performance outcomes.

Rich experience working cross-functionally to drive alignment, oversee execution, and secure deliverables across Product, Design, ML, Infra, Sales, and external partners.

Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.

Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.

High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Experience mentoring, guiding, and upleveling engineers, including senior ICs.

Strong communication skills and the ability to articulate product strategy and tradeoffs to both technical and non-technical stakeholders.

Strong commitment to building inclusive teams and fostering a sense of belonging.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration [1 time per week] and therefore needs to be in a commutable distance from one of the following offices: San Francisco.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID #LI-KBF

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

We are hiring an Engineering Manager to lead our Narrative Editing team, focused on the product experiences that enable creators to tell their story through both live and generative AI content creation and Descript’s flagship script-based editing experience.

Your primary focus in 2026 will be driving quality, by both improving quality and reliability on existing product surfaces, and producing the next iterations of those product experiences.

In this role, you will:

• Own execution: Manage team prioritizes, drive alignment across stakeholders, adapt plans to maximize outcomes, and hold a high bar for delivery through active planning, prioritization, and follow-through

• Define team direction: Connect customer needs, product vision, and technical realities in close collaboration with Product, Design, and AI engineering by setting clear priorities and making tradeoffs to deliver results

• Develop your team: Recruit, mentor, and grow engineers, fostering a culture of continuous learning and high performance. Create stretch opportunities for ICs, deliver clear and direct feedback, and manage underperformance early

• Drive operational excellence: Ensure execution is predictable, reliable, and sustainable, implementing best practices in project management and engineering processes

• Maintain the technical bar: Guide architectural decisions, ensure sound design tradeoffs, address tech debt that slows execution, and drive delivery of high-quality, reliable systems

What You Bring

Minimum Qualifications

• Engineering Leadership Experience: 5+ years of software engineering experience, including 2+ years of engineering management experience delivering complex, cross-functional product work with high velocity and quality

• Team Builder: Excels at hiring, developing, and retaining strong engineering talent, and creating collaborative, empowering, and high-performing team environments

• Strong Product Sense: Ability to think deeply about our customers and bring strongly informed opinions that contribute to great product experiences

• Technical Judgment: Strong technical background with the ability to guide architectural decisions, evaluate tradeoffs, and maintain engineering excellence without being hands-on day-to-day

• Effective Communicator: Communicates clearly and effectively across technical and non-technical audiences, and thrives in collaborative environments working closely with Product, Design, and Research partners

• Data-driven Thinker: Able to convert business objectives into technical metrics that accurately reflect progress towards those objectives and help guide prioritization

• Adaptable and Resilient: Thrives in fast-paced, high-ownership environments. Seeks opportunities to have impact and values the growth that comes with every new challenge

• AI Adaptability: Actively adapts to the changing landscape of tools and how they can be integrated into the operations of teams to make them more effective. AI is also woven throughout the Descript product, and an understanding of the strengths and weaknesses of the tools and how to evaluate them is essential to driving the success of our product experiences

Extra Credit!

• Experience building creative tools in the past or you're a frequent user of creative media tools. If you join Descript, you'll end up making lots of videos!

• Experience defining strategic technical quality metrics and driving success to those metrics

The base salary range for this role is $222,431-$261,684/year.

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We are hiring an Engineering Manager to lead our Agent team, focused on building the world’s best Agentic Video Editor, Underlord. This is a rapidly changing landscape, and there are many unique technical challenges that come with building high quality, cost-effective Agents for handling the multimodal nature of video.

As an Engineering Manager, you will manage a team of 5-6 software engineers, report to the Head of AI Engineering, and partner closely with others across engineering, product, design, and AI research teams. Agent-driven editing is a major company focus and this role requires strong product thinking and strategic partnership skills as the team continues to develop novel, high-quality experiences around Agentic Video Editing.

In 2026, your primary focus will be driving quality to move from beta to GA and delivering material impact for the business. You will:

• Own execution: Manage team prioritizes, drive alignment across stakeholders, adapt plans to maximize outcomes, and hold a high bar for delivery through active planning, prioritization, and follow-through

• Define team direction: Connect customer needs, product vision, and technical realities in close collaboration with Product, Design, and AI Research by setting clear priorities and making tradeoffs to deliver results

• Develop your team: Recruit, mentor, and grow engineers, fostering a culture of continuous learning and high performance. Create stretch opportunities for ICs, deliver clear and direct feedback, and manage underperformance early

• Drive operational excellence: Ensure execution is predictable, reliable, and sustainable, implementing best practices in project management and engineering processes

• Maintain the technical bar: Guide architectural decisions, ensure sound design tradeoffs, address tech debt that slows execution, and drive delivery of high-quality, reliable systems

The base salary range for this role is $222,431-$261,684/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.

Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult,we don't expect or mandate that you're in the office every day.

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

We’re seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As an Engineering Manager, you will lead the Identity Accounts team , the platform foundation that powers every user, organization, and account at Coinbase.

This is one of the most visible and business-critical engineering platforms at the company: your team’s services handle authentication, authorization, security settings, and account management for millions of customers across every Coinbase product.

You will manage engineers across three sub-teams (Foundations, Users Platformization, and Settings & Account Management), drive roadmap execution in close partnership with your Tech Lead and Product Manager, and represent the team to 20+ internal product groups and key partners in Security, Risk, Compliance, and Design.

If you thrive at the intersection of deep technical problems and cross-functional leadership, this role is for you.

Key Responsibilities:

• Lead and grow a team of engineers across backend, frontend, and site reliability , building a high-performing team through hiring, coaching, and career development.

• Drive roadmap execution across three focused sub-teams: Foundations (authorization infrastructure), Users Platformization (decomposing the legacy monolith), and Settings & Account Management (Security Settings 2.0, account navigation redesign).

• Own reliability and operational excellence for 8+ mission-critical Tier-0/Tier-1 services , maintaining 99.99% uptime, championing engineering quality, and acting as quarterback during high-severity incidents.

• Represent the team to internal product groups and key partners in Security, Risk, Compliance, and Design , building alignment and ensuring seamless integration support.

• Partner with Product and your Tech Lead to define strategic roadmaps, prioritize initiatives, and translate complex constraints into simple, scalable platform solutions.

• Champion engineering excellence , drive code and design reviews, set engineering standards, and build every capability to be composable and reusable across product lines (no bespoke, one-off integrations).

• Accelerate internal customers by reducing new product team onboarding time to under 2 weeks and delivering excellent APIs, clear documentation, and strong integration support.

Requirements:

• 7+ years of experience in software engineering, with at least 2 years of engineering management experience leading teams of 5+ engineers.

• Proven track record shipping large-scale distributed systems serving millions of users in production.

• Technical fluency in coding, system design, API architecture, and reliability tradeoffs , able to be hands-on when needed (writing/reviewing code, leading incidents, triaging bugs).

• Strong communicator who writes clearly, builds organizational alignment, and can represent the team effectively to senior leadership and cross-functional partners.

• Experience building and scaling high-performing engineering teams through hiring, developing, and promoting talent.

• 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 in identity, authentication, authorization, or account management systems.

• Prior experience leading a Platform team or similar domain with high internal customer dependency.

• Familiarity with our stack: Go, gRPC, React, SpiceDB, Kubernetes, PostgreSQL, Kafka, Datadog.

• Background building financial, high-reliability, or security systems.

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

We're seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment.

Attendance is expected and fully supported.

The Prime Onchain Wallet team is looking for a leader to step in and lead a tightly knit group of highly talented and motivated engineers – someone who's genuinely passionate about paving the way for institutional clients to operate confidently on-chain.

This person will set the vision, bring clarity and momentum to execution, and partner across product, engineering, compliance, and go-to-market to turn complex constraints into simple, scalable solutions that institutions can trust.

Onchain is the new Online, it will transform the way we exchange value and increase economic freedom by creating new opportunities. Wallet is the new browser and has the opportunity to become a super app. Prime Onchain Wallet is the interface to manage on-chain assets & interact with dapps.

Our team is building the operating system for businesses to operate on-chain. Businesses need the necessary enterprise tooling to operate on-chain and embrace this paradigm shift.

Web2 introduced a stack of web apps used by businesses: Salesforce, Slack, Gmail, Accounting software… to facilitate exchange of data & information. They need a new stack of tools to operate on-chain.

We are building the only fully integrated solution that makes it simple & secure to get started on-chain.

What you'll be doing:

• Lead the engineering teams responsible for building the mission critical systems powering institutional products that shape the crypto landscape.

• Collaborate with engineers, designers, product managers, and senior leadership to translate our vision into a tangible roadmap.

• Break down complex projects into smaller pieces and lead the iterative design and implementation process.

• Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality and operational excellence.

• Collaborate with Product and Engineering teams to ensure successful delivery and operation of complex, distributed systems at scale.

• Coach your direct reports to have a positive impact on the organization and support their career growth.

• Work closely with our talent organization to identify and recruit exceptional engineers who align with Coinbase's culture and contribute to our products.

• Contribute to and take ownership of processes that drive engineering quality and meet our engineering SLAs.

What we look for in you:

• At least 7 years of experience in software engineering.

• At least 1 year of engineering management experience.

• An ability to balance long-term strategic thinking with short-term planning.

• Experience in creating, delivering, and operating multi-tenanted, distributed systems at scale.

• You can be hands-on when needed – whether that’s writing/reviewing code or technical documents, participating in on-call rotations and leading incidents, or triaging/troubleshooting bugs.

• Your passion for building an open financial system that brings the world together drives you to excel in this role.

• 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:

• You have gone through a rapid growth in your company (from 10 to 100s of engineers).

• You have experience with Blockchains (such as Bitcoin, Ethereum etc.).

• You’ve worked with Golang, Ruby, Docker, Sinatra, Rails, Postgres.

• You’ve built financial, high reliability or security systems.

• Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services.

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This role is not simply about running programs,it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

As a Director of Engineering, Governance Foundation, you will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust.

Your responsibilities will include:

• Defining the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components.

• Building scalable governance frameworks that help engineering teams design secure systems from the start, not after the fact.

• Establishing and leading a Security & Privacy Postmortem Review process that drives learning, accountability, and long-term resilience.

• Ensuring insights from incidents translate into systemic improvements across tools, infrastructure, and engineering culture.

• Rebuilding and scaling a Security Champions Network that brings security and governance expertise directly into product and infrastructure teams.

• Creating centralized enablement, tooling, and shared learning systems that allow thousands of engineers to integrate security seamlessly.

• Leading efforts to ensure responsible data use across AI/ML systems, SaaS environments, and internal workspaces.

• Defining and enforcing policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

• Transforming security into a key enabler for engineering velocity.

• Delivering automation, self-service tools, and intelligent guardrails that reduce developer friction while increasing safety and compliance.

• Building JIT (Just-In-Time) security education and systems that proactively surface risky behaviour before it becomes an incident.

• Identifying and elevating Databricks' security posture to exceed DB50 customer expectations, including areas such as audit logging, controlled access workflows, secure asset import/export, behaviour monitoring and lineage.

• Partnering with security, IT, and compliance teams to ensure readiness for the most demanding enterprise and regulated environments.

To be successful in this role, you will need:

• 10+ years of experience in large-scale software engineering, with at least several years leading engineering managers and senior ICs.

• Strong technical grounding in backend systems, distributed systems, identity/security, or enterprise cloud platforms.

• Experience defining governance, security, or enterprise-grade platform capabilities.

• A background as a senior IC (e.g., Staff/Principal Engineer) at some point,this role requires deep technical credibility.

• Proven success hiring, developing, and retaining senior engineering talent.

• Expertise driving cross-functional technical programs with senior stakeholders.

• Experience building cloud-agnostic or multi-cloud services.

• Background in enterprise features such as access control, policy engines, compliance, or identity systems.

• Experience leading organisations through scaling phases in high-growth environments.

You will be rewarded with a competitive salary range of $255,900-$305,350 USD, plus eligibility for annual performance bonus, equity, and comprehensive benefits.

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As an Engineering Manager, you will be responsible for leading a team of engineers to develop high-performance services and seamless user experiences. You will work closely with stakeholders across the organization to understand their use-cases and unlock new capabilities.

Your responsibilities will include:

• Enabling the team to work with a wide range of systems, processes, and technologies to own and solve problems from end-to-end.
• Supporting the engineering team in building experiences for businesses that range from high growth startups to leading global companies.
• Collaborating with stakeholders across the organization, including product, design, infrastructure, marketing, and operations.
• Leading and managing processes to help the team do its best work and engage effectively with the rest of Stripe.
• Recruiting great engineers, in collaboration with Stripe's recruiting team.
• Developing engineers on the team, helping them advance in their careers.
• Contributing to engineering-wide initiatives as a member of Stripe's engineering management team.

We're looking for someone with at least 5 years of experience managing teams that shipped high-quality products. You should have an entrepreneurial mindset, successfully recruited and built great teams, and worked effectively cross-functionally. You should also have technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions.

If you meet these requirements, you are encouraged to apply.

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As an Engineering Manager in the infrastructure organization, you will lead the development of Stripe's Event Infrastructure, responsible for capturing, routing, and persisting billions of events daily.

Responsibilities

• Architect the Org & Culture: Design and scale a high-leverage org structure, defining what 'Elite Engineering' looks like and setting the bar for craftsmanship and operational rigor.
• Vision and Strategy: Define the scope, vision, and goals for your organization with little or no guidance from your manager, anticipating industry trends and influencing Stripe's long-range plans.
• Drive Operational Excellence: Instill a culture of rigorous thinking and meticulous craftsmanship, ensuring our infrastructure remains proactive and resilient as Stripe's business demands evolve.
• Bridge Engineering & Business: Collaborate with cross-functional leaders to align deep engineering needs with global business growth forecasts.
• Build the Future Team: Proactively invest in the development of the organization and its people at all levels, obsessing over talent and hiring and coaching other managers to elevate the skills of the leadership team.

Who You Are

We are looking for a visionary leader who thrives on operating Tier0 infrastructure and building world-class teams, equally comfortable in high-level strategic conversations and deep-diving into database internals.

Minimum Requirements

• Proven Leadership: Minimum 5 years of experience in a technical engineering management role, overseeing strategic projects.
• Systems Expertise: A deep technical background in distributed systems and experience operating Tier0 infrastructure at massive scale.
• Product Mindset: Ability to bridge deep engineering needs with global business growth forecasts and product strategy, specifically building abstractions that empower thousands of other developers.
• Strategic Navigator: Experience managing through ambiguity and making critical trade-offs between reliability, efficiency, and long-term architectural health.
• Curiosity and Humility: A deep curiosity about the 'nuts-and-bolts' of the business (e.g., global money movement) combined with the humility to continue learning and growing as a leader.
• Communication: Exceptional written and verbal communication skills.

Preferred Qualifications

• Scale and Infrastructure: Successfully shipped and operated critical infrastructure (database internals or related field) with significant responsibility over funds and/or critical data.
• Strategic Ambiguity: Ability to navigate complex, high-impact work where you must define your own scope and vision.
• Cross-Functional Influence: A track record of getting other teams on board with your vision to support execution in a way that benefits the broader company.

In-office expectations

In-Office: Stripe is a 'Live' culture. You will be expected to spend at least 50% of your time in your local hub to foster high-bandwidth, in-person collaboration.

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You will be responsible for shaping customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas. This will involve collaborating closely across the platform, product, infrastructure, and research organisations.

Key responsibilities include:

• Leading, mentoring, and growing a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure
• Defining and owning the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments
• Collaborating closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery
• Driving architectural decisions and product design for managed GPU training at scale
• Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact

We are looking for someone with 8+ years of software engineering experience, with 3+ years in engineering management. You should have a track record of building and operating managed GPU training infrastructure at scale, as well as deep familiarity with distributed training frameworks and parallelism strategies.

In addition, you should have experience with training resilience patterns, such as checkpointing, elastic training, and automated failure recovery for long-running jobs. You should also have a strong understanding of GPU performance fundamentals, including NCCL, interconnect topologies, and memory optimisation.

Experience building platform products with clear SLAs is also essential, as is strong cross-functional leadership across platform, product, and research teams. Excellent collaboration and communication skills are also required.

The pay range for this role is $228,600-$314,250 USD per year, depending on location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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We are looking for a Senior Engineering Manager to lead Security Foundation Engineering and set the direction for how security is built into every layer of our platform. The impact you will have:

• Build and scale a high-performing engineering team focused on Security, Access, and Regulatory Compliance.
• Lead the team and company to win the regulatory market by making the platform secure and compliant.
• Define and execute the strategy for secure frameworks, primitives, and tooling used across Databricks.
• Partner closely with engineering and product leaders across the company to ensure security/compliance by design in all new initiatives.
• Drive adoption of security best practices across the organization by building easy-to-use, scalable frameworks and services.
• Provide technical oversight for secure system design and guide efforts to reduce technical debt in core security components.
• Represent Databricks and our security practices internally to senior leadership and externally to the industry.

What we look for:

• Strong track record building and managing high-performing teams of engineers, with experience growing organizations through multiple phases of scale.
• Deep understanding of the relevant domains and infrastructure.
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority.
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality execution.
• Strong communication and leadership skills, with the ability to evangelize security and inspire teams and stakeholders.
• BS, MS, or PhD in Computer Science or a related technical field.

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

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The successful candidate will own the platform layer where product meets revenue, partnering closely with Growth, Safeguards, Legal, and the core Billing Infrastructure team, and work tightly with Customer Support to continuously improve the billing experience for customers.

Key responsibilities include leading and growing a team of engineers building the revenue-enablement platform, building the on-rails, defining and owning the platform's reliability bar, building the platform constructs that let the business run pricing experiments, expanding payment method coverage globally, shipping new monetization models, and driving down time-to-market for new SKUs and product launches.

To be successful, the candidate should have 3+ years of engineering management experience, with 8+ years total in the industry, and have led teams building payments, billing, subscription, or monetization systems. They should also have strong opinions about platform boundaries and API design, and be good at cross-functional work.

Strong candidates may also have direct experience with modern billing and payment platforms, built or scaled local payment method adoption for international markets, run a promotional/offers platform that fed directly into growth or subscription conversion funnels, experience in a PLG or self-serve SaaS environment, or managed teams through regulatory or compliance-heavy work.

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In this role, you will lead the People Products team in defining the blueprint for AI at work. You will help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic's culture through the tools we build.

Responsibilities

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products. You'll help define what is possible in applied AI for people processes.
• Work directly with internal stakeholders , HR teams, recruiters, managers , to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
• Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

You Might Be a Good Fit If You:

• Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments.
• Derive joy from hard work and the act of creation.
• Have shipped LLM-native features or applications.
• Are experienced enough to build big features independently, and make great architectural decisions along the way.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

Strong Candidates May Also Have:

• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Logistics

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

How we're different

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

Come work with us!

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

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As a Senior Technical Program Manager in the GeminiApp team, you will drive our organisation-wide and cross-product area initiatives that change the trajectory of our business and product.

Key Responsibilities

• Translate ambiguous, open-ended business priorities into structured and executable programs.
• Proactively identify and mitigate risks, implementing solutions to keep projects on velocity.
• Mechanize critical parts of the business to generate predictable outputs.
• Spearhead critical programs, driving progress from conception to delivery.
• Forge close partnerships with PM and Engineering leads to define product strategy and ensure precise execution.
• Navigate and resolve complex dependencies across diverse workstreams, functions, and organisations.
• Deliver clear, consistent updates on progress, risks, and plans to senior leadership.
• Excel at managing multiple, time-sensitive projects concurrently.
• Guide cross-functional teams in identifying, prioritising, and tracking tasks to meet key deadlines.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10+ years of experience in technical program management or engineering management.
• Track record of disambiguating and delivering repeatable business value.
• Track record of fast-paced, high-volume, and cutting-edge consumer software.
• Proven track record of collaborating with and influencing stakeholders across various functions and sites, especially in situations with little authority and considerable ambiguity.
• Exceptional communication, writing, and presentation skills.

Preferred Qualifications

• Experience working delivering products that leverage large language models as part of primary experience.
• Experience in hardware and software development life-cycles, metric definition and executive presentation, and technical program management.
• Extensive experience in capacity and resource planning.
• Experience in implementing process improvement methodologies to drive efficiency and scale across multiple teams.
• Experience with motivating teams and individuals to change as the business environment changes.
• Ability to lead and inspire geographically dispersed teams, build strong relationships, and collaborate with stakeholders at all levels.
• Excellent strategic thinking and planning skills, with the ability to translate business objectives into initiatives and execute on them.

Salary

The US base salary range for this full-time position is between $227,000 USD - 320,000 USD + bonus + equity + benefits.

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We're hiring Engineering Managers to lead the teams building Claude for Financial Services, Life Sciences, Healthcare, and Legal. You'll lead a team shipping AI into professional workflows,owning execution, working directly with customers and go-to-market, and helping shape where the broader Verticals group goes next.

Responsibilities

• Lead and develop a team of engineers building new AI products for enterprise customers in your vertical
• Work closely with research to make the models better in your domain,shaping evals, surfacing failure modes, and feeding customer learnings back into model development
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
• Partner with sales and customer success on enterprise deals,understanding requirements, joining key conversations, and turning what you learn into engineering priorities
• Shape the roadmap with product and design, not just execute against it
• Drive the compliance and platform-readiness work your customers require, partnering with security and legal
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have built AI products and have a practical understanding of what it takes to turn model capabilities into applications people actually use
• Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
• Know the operational realities of building on platforms and integrations you don't control
• Are a skilled engineering manager who treats management as a craft,clear feedback, strong 1:1s, consistent investment in your team's growth

Strong candidates may also have

• Experience in working with research to improve domain specific model capabilities
• Experience with model evaluation frameworks and how evals inform product decisions
• Experience taking a product from 0→1,forming a team, finding product-market fit, and shipping the first version with limited precedent to lean on
• Deep domain knowledge in one of these verticals,investment banking, asset management, insurance, or corporate finance; drug discovery or computational biology; clinical operations, health systems, or payers; or legal practice or legal tech
• Direct experience with the compliance frameworks relevant to these industries, including owning that work within an engineering org
• Exposure to both product-led growth and direct enterprise sales, and an understanding of how engineering decisions interact with each

Representative projects

• Partnering with an enterprise customer to map a core workflow,a deal-documentation process, a target-identification pipeline, a prior-authorization queue,and turning it into an engineering roadmap with a new or existing AI product
• Collaborating with research to design an evaluation framework that gives reliable signal on output quality across your domain's use cases
• Owning a platform-readiness initiative end-to-end,scoping with legal and security, defining the engineering work, and shipping it

Logistics

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

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We are looking for an Engineering Manager to join our Platform org to lead and grow teams of software engineers working on foundational platform capabilities.

You'll be responsible for defining and executing the creation of shared product capabilities at the core of Anthropic's product surfaces, while maintaining clear direction and stability for your team.

You'll partner closely with product managers, engineering leadership, talented engineers and research teams to transform emerging AI capabilities into platform capabilities.

Success in this role requires a strong ability to understand stakeholder needs, identify opportunities to share capabilities across products, understand our product and roadmap deeply, and the ability to facilitate rapid iterations to improve our product suite.

Responsibilities

• Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development
• Partner effectively with engineering and product leaders to align on direction and execution
• Create a balanced environment that encourages both iterative improvement and rigorous evaluation
• Provide clear, actionable feedback and support for engineer growth and development
• Help partner teams develop approaches for sharing capabilities and partnering to evolve our platform alongside the sophistication of our products and users
• Drive adoption of platform capabilities and learnings to inform company-wide product strategy and planning
• Represent the platform perspective and roadmap in discussions with research, product, and leadership stakeholders

You may be a good fit if you have:

• Have 3+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments
• Excel at creating psychological safety and helping teams navigate uncertainty
• Demonstrate strong interpersonal skills and ability to guide teams through rapidly evolving organization priorities while building underlying stable platforms
• Have excellent cross-functional leadership skills to build alignment between research, engineering and product
• Are skilled at facilitating decision-making rather than imposing solutions
• Have expertise in mentoring and investing energy into team culture
• Have excellent communication skills to represent the importance of and need to invest in platform capabilities at the core of our products
• Have a comprehensive technical understanding of modern software product development processes and technical stacks. Experience of AI/ML is a bonus

Strong candidates may also have experience with:

• Building products from zero to one in a startup environment
• Expertise in modern web development stacks (React, Next.js, etc)
• Experience working on AI/ML products
• Experience with identity management, authentication systems, and enterprise security standards

Logistics

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

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You will work with sponsors, product managers, designers, and a talented cross-functional engineering team to lead on-time, on-quality software releases. This Technical Program Manager role requires a versatile individual who can plan and manage complex software test automation projects and flight test operations.

Responsibilities: Drive the planning, execution, and delivery of complex software releases for the Hivemind Enterprise platform. Drive major initiatives building out rigorous simulation-based test automation for autonomy software. Drive large complex test operations from CI through HIL and flight test. Collaborate with cross-functional teams, including engineering, product management, and customer engagement, to define test scope, objectives, and deliverables. Develop detailed project plans, including timelines, milestones, and resource allocation, ensuring adherence to budget and schedule. Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project completion. Facilitate regular communication with stakeholders, providing updates on project status, challenges, and accomplishments. Drive continuous improvement in project management processes, tools, and methodologies. Foster a culture of innovation, collaboration, and excellence within the program management team. Facilitate technical decision making to appropriately prioritize work and make complex trades. Reinforce Shield AI's reputation for technical excellence and ability to deliver through expert engagement and disciplined execution.

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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.

The Remember Me - Consumer team is building Plaid's next generation of direct-to-consumer products. Our mission is to help people feel more confident and secure in managing their financial lives through intuitive, high-trust experiences powered by Plaid's network.

As the Technical Lead for the Consumer team, you will split your time between hands-on technical leadership and people management. You will be accountable for the technical foundation of the product, leading the design and evolution of systems that monitor financial accounts and power user-facing experiences.

Responsibilities

• Lead technical design and execution for consumer-facing security and monitoring systems.
• Own backend architecture, data flows, and identity and authentication integrations.
• Hire, manage, and develop a team of engineers.
• Maintain a high bar for security, reliability, and operational excellence.
• Partner cross-functionally to align product goals and technical strategy.
• Use data and experimentation to improve onboarding, engagement, and user value.

Qualifications

• 8+ years of experience in software engineering, with a proven track record of delivering successful projects.
• 2+ years of engineering management experience.
• Experience building consumer-facing products
• Strong user empathy and ability to balance technical tradeoffs with product outcomes.
• Track record of building and growing high performing engineering teams (either as an engineer or a manager).
• Experience leading 0→1 product development.

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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Plaid's Network Enablement and Access (NEA) organization is the backbone of the Plaid network. We build and maintain connections to 10,000+ financial institutions, ensuring that every product Plaid offers is powered by reliable, high-quality data access. Our work spans the full lifecycle: building new integrations, maintaining existing ones at scale through automated health monitoring, turning network data into intelligence products for data partners, and giving customers direct visibility into their integration health.

At the same time, we're rethinking how the org itself operates: applying AI not just to our products, but to the engineering workflows, operational processes, and technical infrastructure that underpin everything we ship. We've already dramatically reduced the cost of building new integrations with AI; the next phase extends that same thinking across how we monitor, diagnose, and evolve the network.

The Role

You'll lead NEA's 50+ engineering organization across eight teams, partnering with our Product Area Lead to co-own strategy and execution spanning access platform development, network enablement and intelligence, integration operations, and solutions engineering. You'll manage six engineering managers directly, own the engineering hiring bar, and be the senior engineering voice in company-wide strategy discussions. You'll set technical direction across the org, deciding where to invest in foundations vs. product delivery and making those tradeoffs with conviction.

Responsibilities

• Set engineering strategy for NEA in partnership with the Product Area Lead. Balance product delivery with foundational investment across eight teams.
• Manage 6 engineering managers. Coach, calibrate performance, develop the management bench.
• Own technical direction for NEA's platform: integration frameworks, automation infrastructure, ML/data pipelines, and customer-facing surfaces.
• Drive recruiting and hiring across the org. Set the bar, own pipeline health, make final hiring decisions for 10+ open roles.
• Partner cross-functionally with product, data, operations, and business teams on roadmap priorities and tradeoffs.

Qualifications

• 10+ years of software engineering experience, 5+ years in engineering management.
• 2+ years leading large engineering organizations (40-50+ people) at the director level or equivalent.
• Track record of building technical foundations that created compounding returns.
• Experience working cross-functionally with product, data, operations, and business teams as a true partner.

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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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 Lead for Europe, you will manage a team of 9+ engineers directly while serving as a member of the small leadership team and working closely with your cross-functional peers. This is more than just a single-team manager role; it's the senior-most engineering leader in Europe, operating with a high degree of autonomy and acting as a co-owner of Plaid's European operations.

Responsibilities

• Lead and grow a team of 9+ engineers, from mid-level to Staff, through clear goals, coaching, and direct feedback, building a strong, accountable team culture.
• Set and drive the technical and product direction for Plaid in Europe, partnering closely with Product, Design, and business leaders to decide what we build and why.
• Work across teams to shape the roadmap, spot high-leverage opportunities, and make clear tradeoffs between speed, risk, and long-term investments.
• Go deep on technical design when needed, unblocking complex problems and maintaining a high bar for quality and reliability in production.
• Represent engineering in leadership discussions, helping guide business decisions and align European priorities with broader company strategy.

Qualifications

• 8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management.
• 2-3+ years of engineering management experience.
• Track record of building and growing strong engineering teams through coaching, clear goal-setting, and raising the talent bar.
• Experience owning a production product area and partnering closely with Product and business stakeholders to drive outcomes.
• Experience designing and evolving scalable, reliable systems that support real-world products at scale.
• Strong technical judgment, with the ability to dive deep into architecture and unblock complex cross-team problems.

Additional Information

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

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That’s what our Risk product engineering teams do at Mercury. We guide thousands of business applications through our systems,each one unique, each one needing a smooth and trustworthy landing. The challenge: keep everything moving fast without compromising safety. Every day, our work helps founders open their first account, launch their next idea, and accelerate their growth like rocketships.

Our mission is to build the intelligent, automated systems and operational tools that make this possible,where machine learning, AI, and human judgment work seamlessly together to power the next generation of business banking*. We use intelligence to detect risks earlier, make real-time decisions with confidence, and enable instant, delightful account approvals that keep pace with the builders we serve.

When we do it right, the result is quiet brilliance: onboarding that feels effortless, even though it’s powered by galaxies of data, precision, and care.

We’re looking for a Senior Engineering Manager to lead the teams building the systems and tools that make it all happen,from application approvals to ongoing and enhanced due diligence,ensuring every business that joins Mercury is both safe and their experience is delightful.

*​​Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

In this role, you will:

• Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling.
• Apply AI/ML,from traditional models to large language models,to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth.
• Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor.
• Shape the next generation of our KYC and risk platforms,reliable, resilient, and easy to extend as regulations and business needs evolve.
• Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality.
• Build, mentor, and grow engineering talent; help managers and senior engineers level up technically and organizationally.
• Drive clarity amid complexity: translating between regulatory nuance and technical execution.
• Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant.

You should have:

• 9+ years of software development experience, including 3–5+ years of engineering management in a high-scale tech environment.
• AI/ML expertise,you’ve built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments.
• Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation.
• Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech.
• A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence.
• Strong communication and leadership skills,you can inspire engineers, partner across functions, and adapt your management style to the moment.
• The ability to hire, retain, and develop exceptional technical talent.
• A pragmatic builder’s mindset: you believe beautiful systems are those that work, adapt, and last.

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - $298,800
• Canadian employees (any location): CAD $225,900 - $282,400

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Mercury moves fast. We ship frequently, our monorepo grows daily, and the pressure to do it right never lets up. Release Engineering is the team that makes this possible: owning the CI/CD platform, build infrastructure, deployment tooling, and the practices that let 400+ engineers deliver with confidence.

We're looking for an Engineering Manager to lead this team. You'll partner with the Backend Developer Experience team to deliver the full software delivery lifecycle from code commit to production, and build the engineering culture that keeps our release process a competitive advantage rather than a bottleneck.

Key Responsibilities:

• Lead and grow a team of four engineers focused on CI/CD infrastructure, build systems, deployment automation, and developer tooling.

• Create a strong culture of operational excellence, with measurable improvements to pipeline reliability, build times, and deployment confidence.

• Own Mercury's release pipeline end-to-end , from pull request merge to production , ensuring it is fast, reliable, observable, and secure.

• Drive the strategy and execution for improving build performance, test reliability, deployment safety (canaries, feature flags, rollbacks), and developer velocity.

• Partner closely with Platform, Security, and Product Engineering teams to design and deliver systems that meet the demands of a rapidly scaling fintech.

• Establish and evangelize release engineering best practices across Mercury's engineering org , defining standards for deployment frequency, change failure rate, and MTTR.

• Balance long-term platform investments with the day-to-day reliability needs of 400+ engineers shipping code every day.

• Build and maintain tooling that enforces compliance checkpoints and audit trails as part of the release pipeline , without slowing teams down.

• Hire, mentor, and retain top-tier engineers; help them grow into technical leads and raise the overall bar for the team.

Requirements:

• 7+ years of software engineering experience, including 4+ years managing engineering teams in high-growth or high-availability environments.

• Deep hands-on experience with CI/CD systems (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI) and the infrastructure that supports them.

• Strong background in build systems (Bazel, Buck2), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Pulumi, or similar).

• A track record of meaningfully improving release velocity and reliability , you measure what matters and use data to drive decisions.

• Experience operating in regulated or security-sensitive environments, ideally fintech, payments, or banking.

• Excellent cross-functional communication skills , you can translate between engineering depth and business impact, and you partner effectively with Security, Compliance, and Product leaders.

• A pragmatic philosophy: you believe release infrastructure should be a force multiplier for product engineers, not a bureaucratic hurdle.

• The ability to attract, develop, and retain exceptional talent , you take hiring and team development seriously.

What Success Looks Like:

• In your first 90 days, you've developed deep context on Mercury's release infrastructure, built trust with your team, and identified the highest-leverage opportunities to improve pipeline performance and developer experience.

• Within six months, you've shipped meaningful improvements to build reliability, deployment speed, or observability , and your team has a clear roadmap for the next year.

• Over time, you've made Mercury's release process a model for how fintech companies can move fast without breaking things.

Salary and Equity:

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a job candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - 298,800

• Canadian employees (any location): CAD $225,900 - 282,400

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The second team will take end-to-end ownership of Spotify's Event Sender SDKs across Android, iOS, JavaScript, and C++. They will drive and be accountable for technical delivery and work with their team on strategy and execution. They will also facilitate collaboration with other engineers and product managers in solving exciting and challenging problems across the platform.

As an Engineering Manager, you will lead a team of engineers through hiring, coaching, mentoring, feedback and hands-on career development. You will create and maintain an opinionated Technical Strategy that aligns with the rest of the Platform Mission and Spotify. You will drive and be accountable for technical delivery and work with your team on strategy and execution.

You will facilitate collaboration with other engineers and product managers in solving exciting and challenging problems across the platform. You will advocate and advance modern, agile software development practices and help develop and evangelize great engineering and organisational practices. You will grow a healthy, collaborative engineering culture in line with the things we value.

You will be an active part of the Product Area leadership team and collaborate with other leaders in the organisation. You will grow the technical expertise of the team.

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As the pioneer of the Website Experience Platform (WXP), we're redefining how teams Build, Manage, and Optimize for the web , combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform.

With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support.

From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality , and to power what’s possible on the web.

We’re looking for an Engineering Manager to lead the DevLink platform, owning design-to-code synchronization (Code Sync), CLI/API workflows, and developer experience while building a high-performing engineering team.

About the role:

• Full-time
• Permanent
• Exempt

The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.

• United States (all figures cited below are in USD and pertain to workers in the United States)
• Zone A: $187,000 - $238,000
• Zone B: $175,000 - $223,000
• Zone C: $164,000 - $209,000
• Canada (all figures cited below are in CAD and pertain to workers in the Canada)
• $212,000 - $270,000
• Ireland (All figures cited below in EUR and pertain to workers in Ireland)
• $116,000 - $143,000
• United Kingdom (All figures cited below in GBP and pertain to workers in the United Kingdom)
• $103,000 - $129,000

This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.

**Responsibilities:*

• Lead and mentor a team building the DevLink platform,spanning Code Sync and Code Component, to enable seamless design-to-code workflows.
• Oversee the development, reliability, and lifecycle of DevLink and related developer workflows (CLI, APIs/SDKs, Git integrations).
• Collaborate with Product Managers, Designers, and other stakeholders.
• Drive the adoption of best practices in software development.
• Manage project timelines, resources, and budgets.
• Foster a culture of continuous improvement, innovation, and collaboration.
• Ensure the team’s work aligns with Webflow’s overall strategic goals and objectives.

**Requirements:*

• BA/BS degree or equivalent experience
• 2+ years of proven experience in leading and managing engineering teams.
• 5+ years of strong experience in software development, with a focus on web development technologies.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a remote-first environment.
• Strong problem-solving skills and a proactive approach to addressing challenges.
• Stay curious and open to growth , actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.

**Our Core Behaviors:*

• Build lasting customer trust.
• Win together.
• Reinvent ourselves.
• Deliver with speed, quality, and craft.

**Benefits:*

• Ownership in what you help build.
• Health coverage that actually covers you.
• Support for every stage of family life.
• Time off that’s actually off.
• Wellness for the whole you.
• Invest in your future.
• Monthly stipends that flex with your life.
• Bonus for building together.

**Remote, together:*

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

**Stay connected:*

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor.

**Please note:*

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

To join Webflow, you'll need a valid right to work authorisation.

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You will work closely with Optimized Checkout teams, playing a critical role in owning the strategy and execution of our core Checkout primitives. Your leadership will ensure we balance rapid innovation with the five-nines reliability required to support the world's largest enterprises and the growing global economy.

This is a role for a strategic leader who excels at navigating complex technical and product challenges. You will drive the evolution of our Checkout services, helping to abstract immense complexity into simple, powerful integrations for our users. Beyond the immediate technical goals, you will be a cultural pillar for the team, mentoring the next generation of technical leaders and shaping an engineering and product vision that defines the future of commerce.

Responsibilities:

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests
• Debug and solve critical production issues across services and multiple levels of the stack
• Partner with Engineering Managers to create roadmaps that deliver milestones toward a cohesive engineering vision
• Serve as a role model for our high engineering standards and bring consistency to the many codebases and processes you will encounter
• Arbitrate critical decisions correctly that fully consider software best practices, Stripe system realities, and numerous stakeholders' preferences and concerns
• Collaborate with stakeholders across the organization such as experts product, design, infrastructure, and operations
• Teach and mentor the next generation of technical leaders at Stripe

Requirements:

• 3+ years of experience in an engineering management role
• 8+ years of full-time software development experience
• Demonstrated track record of successfully hiring, developing, and mentoring engineers
• Ability to lead by example in fast-paced, high-impact, and ambiguous environments
• Commitment to high operational rigor when working with production systems
• Experience building extensible software solutions that scale with business growth
• Adept at thriving in a collaborative, cross-functional, and cross-timezone environment, while fostering a positive team culture

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Responsibilities: Enable the team to deliver a world-class financial infrastructure for businesses that range from high-growth startups to leading global companies. Collaborate with stakeholders across the organization, including product, design, infrastructure, marketing, and operations, to set and achieve ambitious goals. Lead and manage processes to help the team do its best work and engage with Stripe teams across EMEA and North America. Recruit great engineers, in collaboration with Stripe's recruiting team. Develop engineers on the team, helping them advance in their careers. Contribute to engineering-wide initiatives as a member of Stripe's engineering management team.

Requirements: At least 8+ years of experience building and managing a team or teams to ship high-quality products and experiences. Strong technical background as a contributor, including 5+ years of industry experience building user-facing products. Work effectively cross-functionally and are able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs. Thrives with a high degree of autonomy and responsibility in an ambiguous environment. Technical acumen to drive clarity with senior engineers about architecture and technical strategic decisions. Encourage a healthy and inclusive work environment that's both challenging and supportive. Care deeply about mentorship and growing engineers.

Preferred qualifications: Experience with financial product companies and interest in financial products and markets.

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Key responsibilities include:

• Leading and growing an engineering team in Dublin, hiring, coaching, mentoring, and developing engineers at all levels.
• Partnering with Product and Strategy to define goals, prioritize work, and deliver high-quality outcomes.
• Driving operational excellence, setting team processes, removing blockers, and creating predictable delivery rhythms.
• Collaborating with staff engineers and technical leadership on architecture and strategic technical decisions, translating technical strategy into team-level plans.
• Building an inclusive, psychologically safe environment where engineers are challenged, supported, and able to learn and grow.
• Working effectively with geographically distributed colleagues and remote workers to ensure alignment and visibility.

We're looking for someone with 10+ years of professional software engineering experience, including 3+ years of experience as an Engineering Manager. You should have demonstrated success recruiting, building, and scaling engineering teams, and have a deep customer focus and a partnership mindset.

You should also have strong cross-functional collaboration skills, be comfortable operating with high autonomy and responsibility in ambiguous, fast-changing environments, and have acumen on architecture and strategic technical decisions.

If you're passionate about building and leading high-performing teams, and have a track record of delivering results in a fast-paced environment, we'd love to hear from you.

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We're looking for an experienced Engineering Manager to lead our Agent Experience team. As a key member of our engineering organization, you will be responsible for scaling a mission-critical team from its early stages. You will balance deep technical strategy in the AI space with a relentless bias-for-action, ensuring we ship high-leverage tools for developers and their agents.

Responsibilities

• Lead and scale a high-performing team of 10+ engineers, ranging from early-career to Staff level.
• Define agentic strategy and partner with product and executive leadership to shape the long-term vision of how AI agents consume Stripe's APIs and services.
• Foster a 'bias-for-action' culture that allows the team to ship rapidly in an evolving market without sacrificing the reliability expected of financial infrastructure.
• Oversee the design and delivery of complex back-end systems and developer tools, ensuring they are extensible, secure, and intuitive for both humans and agents.
• Collaborate cross-functionally and act as a primary bridge between your team and Stripe's senior leadership, influencing company-wide strategy for AI integration and agentic workflows.

Requirements

• 5+ years of engineering management experience, with a proven track record of managing and growing teams of 10+ engineers.
• Deep domain expertise in the Agentic AI space or a strong background in building sophisticated developer tools and back-end systems.
• Exceptional communication skills, with the ability to distill complex technical concepts into clear strategic frameworks for peers and executives.
• Experience in rapid-growth environments, specifically a history of successful, high-volume hiring and team scaling.
• Technical proficiency to engage deeply with Staff-level engineers on system architecture, API design, and AI model integration.

Preferred Qualifications

• A 'dual-track' career history with experience in both early-stage startups and high-growth, at-scale technology companies.
• Experience navigating high-stakes, regulated industries such as Fintech or Healthcare.
• A strong point of view on the future of AI-driven economies and the 'agentic' evolution of software.

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Your responsibilities will include architecting the org and culture, driving operational excellence, bridging engineering and business, and building the future team. You will collaborate with cross-functional leaders to align deep engineering needs with global business growth forecasts.

To succeed in this role, you should have a proven leadership track record, with a minimum of 5 years of experience in a technical engineering management role. You should also have a deep technical background in distributed systems and experience operating Tier0 infrastructure at massive scale.

Additionally, you should be able to bridge deep engineering needs with global business growth forecasts and product strategy, specifically building abstractions that empower thousands of other developers. You should also have exceptional written and verbal communication skills.

If you're a strategic navigator with a deep curiosity about the nuts-and-bolts of the business, combined with the humility to continue learning and growing as a leader, we'd love to hear from you.

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Responsibilities:

• Leading engineering and design processes, coaching, mentoring, and supporting your team as they build innovative solutions.
• Collaborating with stakeholders across product, design, infrastructure, marketing, and operations to ensure alignment on projects and objectives and shaping the team’s strategy and roadmap.
• Owning problems from end-to-end by managing diverse systems, processes, and technologies, while continuously seeking opportunities to optimise efficiency and user experience.
• Upholding high engineering standards, ensuring consistency across codebases, and implementing best practices throughout your team.
• Recruiting top engineering talent in partnership with Stripe’s recruiting team to build a diverse and high-performing team.
• Supporting your team members' career growth by providing insights and development opportunities tailored to their goals.

Minimum Requirements:

• 5+ years of engineering management experience, directly managing and growing teams of 5+ engineers focused on building and shipping products at scale.
• 8+ years of full-time software development experience.
• Experience building extensible, leveraged software solutions that scale to different kinds of user needs, with the ability to empathise with users and advocate for exceptional user experiences.
• Strong problem-solving skills, with a history of creatively tackling complex challenges.
• Background in dealing with ambiguity and executing on multiple high-impact work streams simultaneously.
• Commitment to fostering a supportive, feedback-driven, and challenging work environment.
• Technical proficiency to engage thoughtfully with engineers about architecture and product design, offering valuable insights when necessary.
• A mindset of autonomy and entrepreneurship, where you're excited to take responsibility and drive initiatives forward.

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You will operate at the intersection of customers, Product, Engineering, and QA, bringing clarity to requirements, supporting delivery teams through build and test, and actively helping resolve issues as they arise. You are structured, detail-oriented, and pragmatic, with a strong bias for action and outcomes.

Reporting to the Director of Digital Delivery, you will work closely with Product Owners, Project Managers (internal and external), Designers, Engineering Managers, QA (internal and external), and client stakeholders to enable predictable delivery and high-quality releases.

This role suits someone who thrives in complex environments, is comfortable working across multiple initiatives, and takes pride in bringing clarity to ambiguity.

Key Responsibilities

• Lead requirements discovery through workshops, interviews, and analysis with cinema customers and internal teams
• Produce clear, structured, and testable artefacts including user stories, acceptance criteria, process flows, and functional specifications
• Ensure requirements are complete, prioritised, and ready for development before work is committed
• Act as a bridge between customers, Product, and Engineering to ensure shared understanding and intent
• Support Product Owners with backlog refinement, scope definition, and prioritisation
• Work closely with internal and external QA teams to ensure acceptance criteria are testable and understood
• Support delivery by helping triage bugs, clarify expected behaviour, and problem-solve issues during testing
• Identify gaps, risks, dependencies, and assumptions early and surface them clearly to delivery leadership
• Support customer conversations to validate scope, clarify expectations, and align on outcomes
• Contribute to continuous improvement of BA and delivery practices across the Digital team

What Success Looks Like

• Engineers receive clear, implementation-ready stories with minimal rework
• Customers are confident that requirements reflect their real business needs
• Web and mobile deliveries move forward with momentum, not blockage
• Issues and defects are clarified and resolved quickly during test phases
• Fewer delivery surprises due to clear scope, assumptions, and constraints
• Strong collaboration across Product, Delivery, Engineering, and QA

Requirements

• Proven experience as an intermediate or senior level Business Analyst in digital product or platform delivery, ideally web and mobile
• Demonstrated ability to define clear requirements including user stories and acceptance criteria
• Experience working closely with Product, Engineering, QA, and Delivery teams
• Strong experience working in Agile environments using Scrum and or Kanban
• Strong stakeholder engagement and communication skills
• Comfortable working directly with customers to gather, align, and validate requirements
• Confident supporting delivery through build and test, not just upfront discovery
• Excellent written and verbal communication skills, able to explain complex concepts clearly
• Highly organised, detail-oriented, with a structured, analytical approach, and outcome-focused
• Comfortable working across multiple projects and priorities simultaneously
• Strong working knowledge of Jira and Wrike, with experience using collaboration and modelling tools such as Miro, draw.io, Lucidchart, and Confluence to document and communicate requirements

Benefits

• Rest & Relax Fridays - Finish at lunch time on Friday but get paid for the full day
• Annual volunteer day
• Employee Rewards and Benefits with Perkbox
• Defined Contribution Company Pension Scheme
• Medical Insurance / Medical Aid (after qualifying period)
• Employee Assistance Programme Service
• Paid Sick leave
• 5 days bereavement leave per year
• On-Site Breakfast Bar

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the team

OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.

About the role

As the Engineering Manager for Platform FDE, you will lead a small team that acts as a multiplier for the broader FDE org. Your mandate is to increase the rate at which customer-grounded ideas become durable, generalizable platform bets, by providing hands-on product and engineering leverage to customer-tagged pods.

You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed Platform FDE capacity where they can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.

In this role you will

• Guide a focused portfolio of platform bets: Steer direction for a small number of high-signal problems, with clear hypotheses, success criteria, sequencing, and measurable adoption outcomes.

• Build and validate with customers: Ensure the team ships working software with design partners, instruments usage and outcomes, and iterates quickly based on real-world adoption and constraints.

• Co-develop with long-term owners: Partner early with B2B Platform (and other durable owners) to align on architecture, interfaces, security/governance requirements, and handoff criteria, staying engaged through validation and the path to scale.

• Maintain a high engineering bar: Set and enforce standards for design, code quality, testing, observability, and operational readiness appropriate for enterprise use.

• Grow and develop the team: Coach and develop engineers through direct feedback, clear expectations, and durable team mechanisms that reinforce execution and ownership.

• Operate with high judgment and influence: Make clear tradeoffs under ambiguity, communicate decisions crisply across stakeholders, and drive outcomes through partnership rather than formal authority.

You might thrive in this role if you

• Bring 8+ years of engineering experience, including 2+ years managing high-performance engineers

• Are deeply customer-obsessed and can partner credibly with senior stakeholders while keeping a high bar for delivery and technical rigor

• Naturally act as a shepherd: you elevate and refine others’ ideas, sharpen hypotheses, and make disciplined “scale vs pause” calls with clear reasoning

• Excel at cross-functional execution, forming tight partnerships with engineering, product, research, and GTM teams to deliver outcomes without needing formal authority

• Can build inclusive team mechanics – rotations, mentorship, and scoped ownership – that increase collaboration across teams rather than creating a gated platform group

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We're looking for an experienced Engineering Manager to lead our Data Interfaces team, responsible for enabling users and systems to leverage our core data platform. The team owns the collection of operational telemetry data, the UI for interacting with the Data Platform, as well as APIs and plugins for querying data out of the Data Platform for visualization, alerting, and integration into internal services.

Responsibilities

• Lead, mentor, and grow a team of senior and principal engineers
• Foster an inclusive, collaborative, and feedback-driven engineering culture
• Drive continuous improvement in the team's processes, delivery, and impact
• Collaborate with stakeholders in engineering, data science, and analytics to shape and communicate the team's vision, strategy, and roadmap
• Bridge strategic vision and tactical execution by breaking down long-term goals into achievable, well-scoped iterations that deliver continuous value
• Ensure high standards in system architecture, code quality, and operational excellence

Requirements

• 3+ years of engineering management experience leading high-performing teams in data platform or infrastructure environments
• Proven track record navigating complex systems, ambiguous requirements, and high-pressure situations with confidence and clarity
• Deep experience in architecting, building, and operating scalable, distributed data platforms
• Strong technical leadership skills, including the ability to review architecture/design documents and provide actionable feedback on code and systems
• Ability to engage deeply in technical discussions, review architecture and design documents, evaluate pull requests, and step in during high-priority incidents when needed — even if hands-on coding isn’t a part of the day-to-day
• Hands-on experience with distributed event streaming systems like Apache Kafka
• Familiarity with OLAP databases such as Apache Pinot or ClickHouse
• Proficient in modern data lake and warehouse tools such as S3, Databricks, or Snowflake
• Strong foundation in the .NET ecosystem, container orchestration with Kubernetes, and cloud platforms, especially AWS
• Experience with distributed data processing engines like Apache Flink or Apache Spark is nice to have

Benefits

Epic Games offers a comprehensive benefits package, including:

• 100% coverage of medical, dental, and vision premiums for you and your dependents
• Long-term disability and life insurance
• 401k with competitive match
• Unlimited PTO and sick time
• Paid sabbatical after 7 years of employment
• Robust mental well-being program through Modern Health
• Company-wide paid breaks and events throughout the year

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Financial services is one of the most consequential domains for AI—and one of the most demanding. Workflows are complex, data is sensitive, regulatory expectations are real, and the people using these tools are experts who will immediately know if something doesn't work. That's exactly the kind of challenge we're here for.

Anthropic's Verticals team builds AI-powered products purpose-built for the industries where this complexity is highest. We're in early growth, moving fast, and earning the trust of enterprise customers who have seen a lot of vendors promise transformation and deliver demos. This role is about building something that actually changes how financial services teams work—and building the team that can do that sustainably.

Responsibilities

• Lead and develop a team of engineers building AI-powered experiences in Excel and PowerPoint for financial services enterprise customers

• Own engineering execution end-to-end: project planning, prioritization, delivery quality, team health, and incident response

• Partner closely with sales and customer success teams on enterprise deals—understanding customer requirements, participating in key conversations, and translating what you learn into engineering priorities

• Work with product and design to shape the roadmap, not just execute against it; you'll have a meaningful voice in what we build and why

• Maintain operational reliability on top of third-party platforms (the Microsoft 365 ecosystem), and build the processes that make your team resilient when those dependencies behave unexpectedly

• Engage with research and evaluation frameworks—developing intuition for model behavior, understanding evals, and helping the team make sound tradeoffs between capability and reliability

• Drive compliance and regulatory initiatives relevant to your customers, including owning the internal engineering work required to meet them

• Recruit, onboard, and develop strong engineers; give direct feedback, grow careers, and build a team culture that earns the confidence of enterprise customers

You may be a good fit if you

• Are a skilled engineering manager who takes the craft of management seriously: clear feedback, strong 1:1s, hard conversations handled well, and consistent investment in your team's growth

• Have experience building products for or within financial services—you understand how these organizations work, what they care about, and why trust and reliability aren't negotiable

• Know how to operate in an enterprise sales environment; you're comfortable alongside sales and customer success teams and can hold your own in customer conversations

• Have shipped AI-powered products and developed a grounded, practical understanding of what it takes to make them reliable and useful in high-stakes contexts

• Are experienced with the operational realities of building on third-party platforms—you've thought through degradation strategies, incident response, and the accountability gaps that come with dependencies you don't control

• Thrive in early-growth environments where the product is real but the playbook is still being written

Strong candidates may also have

• Deep domain knowledge in financial services—investment banking, asset management, insurance, corporate finance, or similar—whether from working within these institutions or building products for them

• Direct experience with compliance frameworks relevant to financial services and healthcare, and a track record of owning or driving compliance initiatives within an engineering organization; familiarity with HIPAA is a meaningful differentiator

• Experience managing teams that use AI-assisted coding tools, and a considered perspective on what that means for code review, quality standards, and engineering norms

• Exposure to both product-led growth and direct enterprise sales motions, with an understanding of how engineering decisions interact differently with each

• Vendor management experience—negotiating with, evaluating, or operationalizing third-party technology providers

• Familiarity with model evaluation frameworks and how evals can inform product decisions, not just research ones

Representative projects

• Partnering with an investment banking customer to understand their deal documentation workflow, then working with product to translate that into a concrete engineering roadmap

• Building an incident response and communication playbook for outages or degradation in Microsoft 365 integrations—and running the post-mortems that drive real improvements

• Owning a compliance initiative from scoping through delivery: working with legal and security, defining what engineering needs to build, and getting your team across the line

• Collaborating with a cross-functional team to develop a new AI-powered product feature, and working with stakeholders to ensure its successful launch

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In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions.

You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job.

Responsibilities

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes.
• Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
• Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

You Might Be a Good Fit If You:

• Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments
• Derive joy from hard work and the act of creation.
• Have shipped LLM-native features or applications.
• Are experienced enough to build big features independently, and make great architectural decisions along the way.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

Strong Candidates May Also Have:

• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

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 AI research will be big science. At Anthropic we work as a single, unified team to advance the state of the art in AI. We believe that the best way to do this is to work together, share knowledge, and collaborate on the most important problems.

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We are seeking an experienced Engineering Manager to lead the Cloud Inference team for AWS. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using AWS. You will own the end-to-end product of Claude on AWS, including API, load balancing, inference, capacity and operations. Your team will ensure our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe. Your work will increase the scale at which Anthropic operates and accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms.

Responsibilities:

• Set technical strategy and oversee development of Claude on AWS across all layers of the technical stack.
• Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving
• Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes
• Create clarity for the team and stakeholders in an ambiguous and evolving environment
• Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team
• Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

You may be a good fit if you:

• Have 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management
• Have 5+ years of engineering management experience
• Experience recruiting, scaling, and retaining engineering talent in a high growth environment
• Have experience scaling products, resources and operations to accommodate rapid growth
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales
• Have experience working with external partners to align goals and deliver impact
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
• Have excellent written and verbal communication skills
• Demonstrated success building a culture of belonging and engineering excellence
• Are motivated by developing AI responsibly and safely
• Are willing and able to travel frequently between Seattle and the SF Bay Area

Strong candidates may also have experience with:

• Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
• Experience as a Product Manager
• Experience with deployment and capacity management automation
• Security and privacy best practice expertise

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 AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as a collaborative effort, and we work closely with other researchers, engineers, and experts to advance our understanding of AI and its applications.

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We are looking for an Engineering Manager to join our Platform org to lead and grow teams of software engineers working on foundational platform capabilities. You'll be responsible for defining and executing the creation of shared product capabilities at the core of Anthropic's product surfaces, while maintaining clear direction and stability for your team.

You'll partner closely with product managers, engineering leadership, talented engineers and research teams to transform emerging AI capabilities into platform capabilities. Success in this role requires a strong ability to understand stakeholder needs, identify opportunities to share capabilities across products, understand our product and roadmap deeply, and the ability to facilitate rapid iterations to improve our product suite.

About Product Foundations:

Product Foundations serves as an internal capabilities team building product infrastructure, shared components and focusing significant energy on cross functional efforts including reliability, latency and efficiency. Our mandate is to build and maintain the foundational platforms, infrastructure and abstractions that enable Anthropic's products to operate securely, reliably, and efficiently at scale while accelerating product development across the organisation. We embed with product engineering teams to provide platform perspective, build shared mvp capabilities, and align to a shared vision for success.

Responsibilities:

• Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development
• Partner effectively with engineering and product leaders to align on direction and execution
• Create a balanced environment that encourages both iterative improvement and rigorous evaluation
• Provide clear, actionable feedback and support for engineer growth and development
• Help partner teams develop approaches for sharing capabilities and partnering to evolve our platform alongside the sophistication of our products and users
• Drive adoption of platform capabilities and learnings to inform company-wide product strategy and planning
• Represent the platform perspective and roadmap in discussions with research, product, and leadership stakeholders

You may be a good fit if you have:

• Have 3+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments
• Excel at creating psychological safety and helping teams navigate uncertainty
• Demonstrate strong interpersonal skills and ability to guide teams through rapidly evolving organisation priorities while building underlying stable platforms
• Have excellent cross-functional leadership skills to build alignment between research, engineering and product
• Are skilled at facilitating decision-making rather than imposing solutions
• Have expertise in mentoring and investing energy into team culture
• Have excellent communication skills to represent the importance of and need to invest in platform capabilities at the core of our products
• Have a comprehensive technical understanding of modern software product development processes and technical stacks. Experience of AI/ML is a bonus
• Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission

Strong candidates may also have experience with:

• Building products from zero to one in a startup environment
• Expertise in modern web development stacks (React, Next.js, etc)
• Experience working on AI/ML products
• Experience with identity management, authentication systems, and enterprise security standards

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

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.

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About the role:

We're looking for someone who can define the technical vision and strategy for building/extending user interface frameworks in order to help Replit ship high-quality user experiences fast. You'll engage design and product engineering teams to understand, triage, and prioritize requirements. You'll also help the Design team tastefully refine designs by taking into account technical constraints, timelines, and resources.

Responsibilities:

• Build, mentor, and grow a team of frontend engineers, reinforcing Replit's culture of UI excellence and craft.
• Define the technical vision and strategy for building/extending user interface frameworks.
• Engage design and product engineering teams to understand, triage, and prioritize requirements.
• Set an ambitious vision for the future of AI user interfaces, and help the team sequence the steps to make it a reality.
• Help the Design team tastefully refine designs by taking into account technical constraints, timelines, and resources.
• Use your deep understanding of technology, the product, and UI, to increase the quality, performance, and usage of Replit's most important surfaces.

Requirements:

• 4+ years of engineering management experience with a track record of building and scaling high-performing teams.
• Deep technical experience in many of the following: React, CSS, CSS frameworks, mobile web, Figma.
• Excellent communication skills to balance technical leadership with people management, including mentoring, performance management, and career development.
• Obsession with the user experience.
• Great recruiting experience in building talent-dense teams.
• Adaptability to be ready and able to lead through changing needed requirements.

Bonus Qualifications:

• Active Replit user.
• Experience building products that use AI.
• Background or experience in Design.

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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You will:

• Build, mentor, and grow a team of mobile design engineers, fostering a culture of technical excellence and design craftsmanship
• Define the technical vision and strategy for mobile design systems, establishing frameworks and patterns that ship to production and scale across iOS, Android, and responsive web
• Partner closely with design, product, and engineering leadership to prioritise mobile initiatives and ensure seamless collaboration between design and development teams
• Drive best practices for mobile-first development, ensuring your team builds production-grade patterns that deliver consistent, high-quality experiences while optimising for performance
• Oversee the architecture of complex mobile UI components and systems, providing technical guidance and code review to maintain high standards
• Champion accessible, responsive interfaces through well-architected frameworks, and establish processes that improve mobile design-to-development workflow
• Balance hands-on technical contribution with people management, staying close enough to the code to guide architectural decisions

Required skills and experience:

• 3+ years of engineering management experience with a track record of building and scaling high-performing teams, plus proven experience building production frameworks and component systems that scale across products
• Deep technical background with mobile development, including experience with some of the following: mobile-specific web APIs, native mobile development (Swift/Kotlin), React and React Native (or similar cross-platform frameworks), PWAs, mobile design patterns, and complex UI animations and gesture-based interactions
• Excellent communication skills to balance technical leadership with people management, including mentoring, performance management, and career development

Bonus Qualifications:

• Active Replit mobile user passionate about accessible software creation, with experience building or leading mobile design or developer tools teams
• Interest in AI on mobile devices and contributions to open-source mobile design systems or UI libraries

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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Engineering Manager, Answer Experience

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $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(es) for eligible employees, and the following benefits.

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Answer Experience team is reimagining how people access information and get answers to all their questions in ChatGPT. Working across research, engineering, product, and design, we’re building experiences that seamlessly bring together intelligence, real-time information, and rich, interactive visual content. No matter what question a user comes to ChatGPT with, this team makes sure they get the perfect experience.

About the Role

We’re looking for an experienced engineering leader to grow and guide our Answer Experience team.

In this role, you will:

• Hire and manage a diverse, high-performing engineering team

• Collaborate with teams across research, product, design, and engineering to enable step-change improvements to how ChatGPT answers look and feel

• Coach engineers to maximize their impact and growth

• Create an inclusive culture that makes all feel welcome while enabling radical candor and the challenging of groupthink

You might thrive in this role if you:

• Have 10+ years of experience in engineering, including 5+ years of experience in engineering management

• Have a passion for building and evolving delightful, essential product experiences

• Are comfortable with ambiguity and rapid change, and eager to get deep into the weeds to help solve problems

• Have a strong track record of coaching engineers to achieve their peak potential

• Feel a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others

• Have experience attracting and hiring top talent for highly competitive technical roles, and can effectively communicate a vision that resonates with candidates

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

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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Engineering Manager, Identity Infrastructure

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $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(es) for eligible employees, and the following benefits.

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organisational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.

About the Role

As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.

We’re looking for people who combine strong infrastructure depth with people leadership—someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems.

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.

What You’ll Do:

• Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth.

• Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems.

• Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.

• Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.

• Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals.

• Establish processes and a culture that enable fast learning, high trust, and responsible innovation.

• Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.

• Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput.

• Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company.

You might thrive in this role if you:

• Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.

• Have 10+ years of experience building, scaling, and operating distributed systems at large scale.

• Care deeply about people leadership, coaching, and helping engineers achieve peak performance.

• Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability.

• Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence.

• Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.

• Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.

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 artificial general intelligence and work to align its development with human values. Our mission is to create a world where AI is a powerful tool for humanity, and we believe that this requires a multidisciplinary approach to research and development. We are committed to transparency and open communication, and we believe that sharing our knowledge and insights with the world is essential to advancing the field of AI. We are a team of researchers, engineers, and designers who are passionate about creating a future where AI is a force for good. We are based in San Francisco, California, and we are proud to be a part of the vibrant tech community in the Bay Area. We are committed to diversity, equity, and inclusion, and we believe that a diverse and inclusive team is essential to creating a better future for all. We are always looking for talented individuals who share our vision and values, and we encourage you to join our team and help us shape the future of AI.

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Engineering Manager, Atlas

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $490K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The ChatGPT Atlas engineering team is focused on extending the functionality & reach of the ChatGPT Atlas app to new use cases & platforms. Our vision is to create a world class web browser with ChatGPT at its core, helping you get stuff done as you move across the web.

With Atlas, ChatGPT can come with you anywhere across the web; helping you in the window right where you are, understanding what you’re trying to do, and completing tasks for you, all without copying and pasting or leaving the page.

About the Role

We are seeking an experienced Engineering Manager to lead a major part of the Atlas browser engineering team. In this role, you will help build and scale a world-class engineering team, drive the execution of complex cross-functional projects, and contribute to the long-term strategy of transforming Atlas into people’s browser of choice. You will play a critical role in managing the team, ensuring product quality and reliability, and establishing processes that foster collaboration and efficiency.

In this role, you will:

• Manage and grow a high-performing engineering team in a fast-paced, high-expectation environment.

• Ramp up on the team’s technology, product, and business goals, including hands-on work to develop a deep technical understanding.

• Lead hiring and onboarding efforts to build a strong, collaborative team.

• Set clear priorities and strategic direction in collaboration with engineering, product, design, and research teams.

• Drive process improvements to increase team effectiveness and product quality.

• Deliver complex, cross-functional projects that align with business objectives and drive impact.

• Ensure the Atlas browser is scalable, reliable, and continuously improving.

• Collaborate closely with Product and Research teams to push the boundaries of AI-enabled assistance.

You might thrive in this role if you:

• Have 5+ years of experience managing engineering teams in a high-performance, fast-paced environment.

• Bring 5+ years of experience building and operating distributed systems at scale OR 5+ years of experience building installed/native apps at scale.

• Take pride in building delightful, high quality product experiences

• Have a strong track record of leading world-class teams and delivering impactful projects.

• Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams

• Thrive in ambiguity and can adapt quickly to rapidly changing conditions.

• Have experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the future

• Have a strong coaching mindset and excel at guiding engineers to reach their peak potential.

• Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others

• Are comfortable navigating AI/ML research collaborations (nice to have).

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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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $293K – $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(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

OpenAI’s mission is to make AGI beneficial for all of humanity and our mission is successful only if AGI drives _real_ _benefits_ across all industries in the world. Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth.

We build and operate the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI’s technology is delivered with reliability, security, and a world-class user experience.

About the Role

We are looking for an experienced engineering manager to lead our API Experience team. This team is responsible for building out and crafting an exceptional development experience for our API developers. You will be owning the API documentation, SDKs, account experience, and overall development experience that millions of developers use to build on top of OpenAI models – everyone from hobbyist developers to Fortune 500 companies. You will also collaborate closely with research teams to bring the latest cutting-edge models to our API.

In this role, you will:

• Manage and build out a diverse team of high performing full-stack engineers.

• Build an API product that developers love to use.

• Set technical direction for building robust and scalable API products for end developers.

• Collaborate closely with a broad set of stakeholders, including product, design, go-to-market, and other engineering teams.

• Coach and nurture engineers to accelerate their growth and learning.

Requirements

You might thrive in this role if you:

• Have 8+ years of experience in software engineering, including 5+ years of experience in engineering management

• Have prior experience building out external facing API products at consumer internet scale

• Take pride in building and operating scalable, reliable products and systems

• Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done

• Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

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

As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users.

• Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.
• Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.

What you need

• Strong foundational familiarity with the full AI product stack.
• Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
• Domain expertise in at least one of the following areas: Context engineering and tool interfaces for frontier AI models, Post-training and reinforcement learning (particularly for multimodal models), Browser technologies (CDP, Playwright, extension development, etc.)

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What you'll do

Technical Leadership & Strategy

• Partner closely with the Franchise Technical Director to define and drive the long-term Core Technology roadmap, aligning technical direction with franchise and studio goals.
• Lead multi-year architectural and foundational initiatives spanning gameplay engineering, rendering, audio, presentation, and art technology.
• Make clear, high-impact technical decisions, balancing tradeoffs while identifying and mitigating risks early.

Delivery & Execution

• Own end-to-end delivery for your technology stream, ensuring Core Technology systems ship predictably, reliably, and with high quality.
• Coordinate across engineering, design, art, and production to resolve dependencies and maintain forward momentum.
• Provide technical assessments for scope, risk, and feasibility throughout planning, milestones, and execution.

Cross-Discipline Collaboration

• Build strong partnerships with central technology teams, external partners, and other EA SPORTS franchises.
• Ensure Core Technology solutions scale across content pipelines, creative workflows, and runtime performance requirements.

Team Leadership & People Management

• Lead and mentor domain tech leads and senior engineers, setting a high bar for technical excellence, ownership, and growth.
• Foster a culture of openness, collaboration, and continuous improvement.
• Define and champion engineering standards and best practices that scale across disciplines and across multiple annual releases.

Technical Excellence & Performance

• Champion performance-conscious design, ensuring Core Technology domains consistently meet CPU and GPU budgets across supported platforms.
• Guide teams in identifying and prioritizing performance risks, providing leadership and direction rather than hands-on profiling.

What you need

• 8+ years of professional software or game development experience, including work on large codebases or shipped console titles.
• 3+ years of technical leadership or engineering management experience, leading multi-domain initiatives or managing senior technical leaders.
• Deep expertise in C++ and a strong understanding of modern game engine architecture, with the ability to evaluate solutions, assess risk, and guide decisions.
• A proven ability to drive technical strategy, align teams, and communicate complex ideas clearly across disciplines.
• Strong partnership skills, with experience working closely across engineering, design, art, production, and external technology groups.

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What you'll do

• Lead, mentor, and grow a team of senior and principal engineers
• Foster an inclusive, collaborative, and feedback-driven engineering culture
• Drive continuous improvement in the team's processes, delivery, and impact

What you need

• 3+ years of engineering management experience leading high-performing teams in data platform or infrastructure environments
• Proven track record navigating complex systems, ambiguous requirements, and high-pressure situations with confidence and clarity

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