As a member of ArsenalOS, you will be an integral part of building out Forge, Anduril's custom supply chain, manufacturing, and deployment mission execution software. We spend time on the factory floor, then provide solutions for the issues the factory faces.

The ideal candidate will have expertise in developing custom software solutions that optimize production processes, analyze manufacturing data, and drive industry-changing improvements. They should be proficient in programming languages relevant to web development and industrial applications, have experience with data analytics and visualization, and understand the principles of modern manufacturing.

The ability to translate complex manufacturing challenges into elegant software solutions is crucial, as is a passion for pushing the boundaries of what's possible in industrial technology. This role requires a mix of technical prowess, creative problem-solving, and the vision to see how software can reshape manufacturing practices across the industry.

Key Responsibilities:

• Own and deliver features for Forge, Anduril's production platform.
• Level up our team's applications through quality code contribution and writing tests.
• Leverage frontier AI tooling for development, and contribute to our local Forge harness.
• Partner with the factory floor to enable high rate build of Roadrunner, Fury, and other Anduril products.
• Join an on-call rotation for Forge support of the production floor.
• Collaborate cross-functionally with systems architecture, software product and design, factory systems, and production digital tools.

Requirements:

• 6+ years of experience in a software engineering role building products, ideally in a fast-paced environment.
• Have an area of deep expertise in one or more portions of full stack web development (i.e. backend, frontend, integration).
• Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree.
• Experience working with large enterprise applications and platforms with high availability requirements.
• Proficiency with web-based technologies such as Javascript, React, Typescript, and web frameworks such as React or NextJS.
• U.S. Person status is required as this position needs to access export controlled data.

Preferred Qualifications:

• Experience in hyper growth startup-like environments, with demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs.
• Understanding of three letter acronyms such as ERP, MES, WMS, CRM, etc.
• Eligible to obtain and maintain a U.S. Top Secret Security clearance.
• Experience in manufacturing industries with hands on experience on assembly lines.

XML job scraping automation by YubHub

We are looking for a talented and self-driven individual to join our team. You will operate with a high degree of autonomy, taking end-to-end ownership of complex technical problems while collaborating with a small, high-performing team.

The ideal candidate will draw upon exemplary analytical, critical thinking, and problem-solving skills, deep software development experience, and a passion for creating maintainable, highly reliable, and scalable systems accessed by thousands of internal customers and cross-functional stakeholders.

In the space of workflow management and automation tools, engineers on this team solve problems for the first time and have the opportunity to convert solutions into generic, reusable components for the broader engineering community.

Key job responsibilities:

• Working collaboratively, shape the vision and strategy for solving business problems spread across retail and other cross systems outside of retail
• Develop an architecture, thinking long term about futuristic needs
• Mentor, grow, and share the journey to deliver with quality
• Deep dive, develop and deliver systems that are highly maintainable. Technical leader for the team with the ability to deliver against all odds
• Data driven approach for making right architecture decisions, managing business priorities

A day in the life:

As a software development engineer on this team, you will play a pivotal role in the following:

• Work with the team and stakeholders to help drive business decisions
• Design, implement, test, deploy, and maintain innovative software solutions to drive service optimization, cost, and security
• Use software engineering best practices to ensure a high standard of quality for all of the team deliverables
• Write high-quality distributed system software
• Work in an agile, startup-like development environment, where you are always working on the most important stuff

Basic Qualifications:

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Preferred Qualifications:

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

XML job scraping automation by YubHub

The leader will own the strategy, roadmap, and execution of the Vehicle Health Alerts experience, ensuring it aligns with business goals, delivers measurable impact, and integrates seamlessly into the broader Vehicle Care ecosystem.

Responsibilities:

• Own the Vehicle Health Alerts (VHA) strategy for diagnostics and prognostics.
• Define and execute on the product vision and mission: clear, actionable vehicle insights that empower commercial and retail customers to prevent breakdowns and make informed maintenance decisions.
• Identify and prioritize the top problems to solve: unplanned downtime, low lead generation, misaligned maintenance schedules, and diagnostic messaging clarity.
• Ensure alignment with global and portfolio-level strategies for Vehicle Care.

Product Roadmap & Delivery:

• Develop and maintain a comprehensive product roadmap for Vehicle Health Alerts, balancing predictive insights, diagnostics, and dealer-focused capabilities.
• Partner with engineering, data/AI, UX, and analytics teams to deliver high-quality, scalable solutions.
• Support prototyping, pilot testing, and iterative releases, ensuring customer and dealer validation before scaling.
• Collaborate with cross-functional stakeholders (business, operations, dealer teams) to integrate Vehicle Health Alerts into broader dealer and customer workflows.

Metrics & Impact:

• Define and monitor leading and lagging indicators, including:

+ % of actionable leads delivered to dealers (leading) + Lead conversion rate and parts revenue + Warranty cost avoidance + Diagnostic message clarity improvements + Prognostics precision and recall

• Drive towards the long-term vision and North Star metrics.
• Regularly report performance, identify gaps, and lead continuous improvement efforts.

Customer & Dealer Value Delivery:

• Ensure alerts are clear, accurate, and actionable for both customers and dealers.
• Translate technical diagnostics into easy-to-understand guidance for drivers.
• Partner with dealer-facing product teams to maximize lead conversion, service revenue, and operational efficiency.
• Focus on real-world usage data to optimize predictive and diagnostic accuracy.

Cross-Functional Leadership:

• Lead a team of product managers fostering collaboration and accountability.
• Work closely with Engineering, Data/AI, Business and Operations teams to ensure feasibility, quality, and timeliness of delivery.
• Align with the global Vehicle Care organization to scale solutions across markets.
• Act as a subject matter expert on predictive diagnostics and proactive service.

Qualifications:

• 8–12+ years in digital product management, preferably in automotive, connected vehicles, or predictive maintenance.
• Proven ability to define product strategy, prioritize roadmaps, and drive measurable business impact.
• Experience with AI/ML-driven predictive analytics, diagnostics, or prognostics.
• Strong understanding of customer-facing applications and dealer operations.
• Data-driven mindset, comfortable defining and tracking metrics for leading and lagging indicators.
• Cross-functional leadership experience in matrixed, complex organizations.
• Exceptional communication and stakeholder management skills.

Even better, you may have:

• Experience in connected vehicle services, telematics, or predictive maintenance platforms.
• Familiarity with dealer workflows and service operations.
• Strong understanding of diagnostic trouble codes (DTCs), vehicle health data, or vehicle telematics architecture.
• Experience scaling products globally across multiple markets.

Success Profile (What Good Looks Like):

• Customers receive accurate, actionable alerts that prevent unplanned breakdowns.
• Dealers receive more high-quality leads, with improved conversion and parts/service revenue.
• Diagnostic and prognostic accuracy meets or exceeds targets (prognostics precision 95%, recall 80%).
• Vehicle Health Alerts are fully integrated into the broader Vehicle Care ecosystem.
• Product decisions are data-informed, customer-centric, and aligned to business objectives.

What you’ll receive in return:

You may not check every box, or your experience may look a little different from what we’ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

XML job scraping automation by YubHub

Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

The VSSE- Ecosystem of AI Tools (VSSE-EAT) is at the forefront of Ford's mission to integrate artificial intelligence into the heart of vehicle engineering. We are looking for a Technical Lead to lead a multidisciplinary team in transforming a fragmented collection of 0 to 1 stage AI projects into a robust, interconnected, and enterprise-scale ecosystem to drive quantified business value.

In this role, you will move beyond managing individual features. You will be the visionary architect of a platform that allows AI tools to collaborate using advanced frameworks such as Agent to Agent(A2A) or Model Context Protocol (MCP).

Responsibilities

Scaling & Standardization

• From POC to Production: Lead the re-architecting of tools currently in Discovery or POC stages to ensure they are compliant with Ford standards and can scale to support 1000s of global users.

• Robust Frameworks: Collaborate with your squad of Full-stack, Data and DevOps engineers to build an integrated and extensible framework that is both robust and efficient.

• Governance: Establish the 'rules of the road' for AI tools within the ecosystem, ensuring they are secure, compliant, and maintainable.

Ecosystem Orchestration & MCP Leadership

• Multi-Agentic Strategy: Design the framework for a multi-agentic architecture where specialized agents (focused on hardware, electrical, or software) can collaborate seamlessly.

• MCP at Ford: Take the lead in implementing the enterprise standard for Model Context Protocol (MCP) in the VSSE ecosystem. You will define how different AI agents and tools share context and data to solve complex automotive problems in a secure and scalable way.

• Low-Code Empowerment: Drive the product roadmap for an Agent Builder that allows non-technical business customers to create and deploy AI agents, while maintaining the technical depth required for engineering teams.

Cross-Functional Leadership & Metrics

• Squad Leadership: Lead a dedicated team of Data Scientists, Product Designers, and Developers. You are the 'glue' that connects user experience (UX) with deep data science and backend stability.

• Business Collaboration: Work closely with business customers to understand Ford-specific data (Hardware, Electrical, Software) to ensure data integrity and alignment.

Qualifications

• Bachelors degree in computer science, Engineering, or a related technical field, Masters degree preferred.

• 7+ years in software development

• 2+ years focused on Generative AI

• 3+ years of experience defining product vision, strategy, product roadmaps and building and managing backlogs

• 2+ years working with Agile software methodologies (Scrum, eXtreme Programming, Kanban)

• AI/ML Fundamental Literacy: Deep understanding of the LLM lifecycle, including fine-tuning, Retrieval-Augmented Generation (RAG), and the difference between probabilistic and deterministic outputs.

• Software Engineering Foundation: A background in professional software development (e.g., Python, Java, or C++). You must be able to discuss system architecture, API design, and latency trade-offs with your engineers.

• Architecting for Scale: Proven experience taking a software product from a local 'lab' environment to a production environment supporting hundreds of concurrent users (knowledge of Kubernetes, cloud scaling, and load balancing).

• Protocol & Framework Knowledge: Ability to quickly master and implement emerging protocols like Model Context Protocol (MCP) and multi-agent orchestration frameworks (e.g., LangChain, AutoGen, or CrewAI).

• Data Systems: Proficiency in navigating complex data environments, specifically how to integrate AI tools with enterprise data lakes while maintaining governance.

• Lifecycle Management: Experience managing the 'Maturity Pipeline' - moving products from Discovery/POC through Beta to a hardened Production state.

• Platform Thinking: Ability to move beyond 'single-feature' thinking to build an extensible ecosystem where tools share context and interact via a unified framework.

• Metric-Driven Leadership: A track record of optimizing Time to Market (TTM) and User Adoption. You should be able to demonstrate how you've used telemetry and user feedback to pivot or accelerate a product.

• Squad Leadership: Experience leading a diverse team of Data Scientists, Full-stack/Front-end Developers, and Designers. You must be able to speak all their 'languages'.

XML job scraping automation by YubHub

You will serve as a strategic partner, shaping how we win in Singapore while building the operational foundations to scale , and contributing to the broader APJ regional strategy.

You'll start as an individual contributor with the opportunity to build and lead a team over time as the business scales. From day one, you'll work closely with S&O counterparts across Japan, South Korea, Australia, New Zealand, India, and the wider APJ region to share best practices and drive consistency across the region.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process for Singapore, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts across Singapore, with an eye to how it fits into the broader APJ portfolio.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities , both within Singapore and in coordination with adjacent APJ markets.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights, and benchmark against other APJ markets where useful.

Cross-Functional & Regional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Partner with S&O leaders across APJ (Japan, South Korea, Singapore, India, ASEAN) to align on regional standards, share insights, and drive consistency in how we operate across the region.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates for Singapore and APJ leadership.
• Drive cross-functional alignment on go-to-market execution across Singapore and contribute to APJ-wide initiatives.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

Requirements:

• 15 to 18 years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Demonstrated knowledge of the broader APJ region, with exposure to GTM dynamics across multiple APJ markets (e.g., ANZ, Japan, South Korea, Singapore, India, ASEAN)
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Based in Australia with working proficiency in English

Preferred Qualifications:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Prior people management experience, or readiness to build and lead a team as the function scales
• Experience working across multiple APJ markets or coordinating regionally distributed S&O work
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

XML job scraping automation by YubHub

Your responsibilities will include: Architecting the foundation of our marketing intelligence system using BigQuery and dbt infrastructure Enabling AI & Agents by developing the semantic layer and structured knowledge base Mapping the customer journey by integrating disparate signals across digital, product, and sales Scaling through partnerships by partnering with Enterprise, Product, Sales, and Finance teams

You will bring: Deep experience with BigQuery, dbt, and semantic layers Proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle Ability to build complex, interconnected systems by starting with the desired outcome and working backward Collaborative communication skills Operational excellence & governance skills

Bonus points for: GTM fluency Marketing science foundations Identity resolution AI production scaling

XML job scraping automation by YubHub

In this high-volume, fast-paced role, you'll work closely with E-Commerce and Direct-to-Consumer operators to modernize how they manage spend across marketing, inventory, logistics, and vendors, helping fast-growing brands scale efficiently while maintaining financial control.

This role is ideal for someone who is energized by the pace of e-commerce, understands how online brands scale, and enjoys partnering with operators navigating rapid growth and complexity.

Responsibilities:

• Full-Cycle Sales Execution: Own the end-to-end sales process from outbound prospecting to discovery, product demos, and closing deals.
• Pipeline Generation & Management: Consistently source and qualify leads to maintain a strong, reliable pipeline.
• Value-Based Selling: Clearly communicate ROI and business value by understanding each prospect's goals and aligning Brex’s solutions to their needs.
• Customer-Centric Problem Solving: Build trust through insight and service, helping prospects navigate challenges and unlock growth.
• Cross-Functional Collaboration: Work closely with Sales Development, Product, and Underwriting to create a smooth and impactful buyer experience.
• Develop a deep understanding of E-Commerce and Direct-to-Consumer business models, including paid media spend, inventory cycles, cash-flow constraints, fulfillment operations, and supplier payments.
• Engage founders, operators, and finance leaders on challenges tied to scaling online revenue, managing marketing ROI, and balancing growth with financial discipline.
• Tailor Brex’s value proposition to common E-Commerce workflows, including ad platforms, 3PLs, inventory vendors, marketplaces, and subscription-based tools.
• Stay current on trends in the E-Commerce ecosystem and bring market insights back to internal partners to improve messaging, positioning, and execution.

Requirements:

• 1+ years of closing experience in B2B SaaS sales, ideally in a high-volume or new business-focused role.
• A high-performing SDR/BDR background with a strong track record of sourcing and qualifying opportunities due to high self-prospecting requirements in role.
• Strong ability to communicate value and ROI to small or mid-sized business stakeholders.
• Consistent quota attainment and a history of top-tier performance.
• A proactive, self-motivated approach with a focus on results and customer impact.
• Experience selling to or working with E-Commerce and Direct-to-Consumer brands, with a strong understanding of their operational and financial needs.

Bonus points:

• Active participation in the E-Commerce ecosystem, including conferences, events, communities, or professional networks.
• Strong understanding of paid media, online customer acquisition, and the financial implications of scaling e-commerce businesses.
• Familiarity selling financial or operational software used by e-commerce teams (Expense Management, Payments, ERP, AP Automation, Banking, Accounting, etc.).

XML job scraping automation by YubHub

Key responsibilities include:

Architecting the foundation: designing and building the core BigQuery and dbt infrastructure that powers our marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products.

Enabling AI & Agents: developing the semantic layer and structured knowledge base that allows AI agents to accurately 'talk' to our business data and reason through complex performance questions.

Mapping the journey: integrating disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer's path from discovery to revenue.

Scaling through partnerships: partnering with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation.

Requirements include:

Deep experience with BigQuery, dbt, and semantic layers.

Ability to build complex, interconnected systems by starting with the desired outcome and working backward.

Systems & Design Thinking: the ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible.

Collaborative Communication: a track record of 'translating' technical debt into business value and coaching peers through complex architectural hurdles.

Operational Excellence & Governance: treating data as infrastructure and having deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks.

XML job scraping automation by YubHub

In this high-volume, fast-paced role, you'll work closely with E-Commerce and Direct-to-Consumer operators to modernize how they manage spend across marketing, inventory, logistics, and vendors, helping fast-growing brands scale efficiently while maintaining financial control. This role is ideal for someone who is energized by the pace of e-commerce, understands how online brands scale, and enjoys partnering with operators navigating rapid growth and complexity.

Responsibilities:

• Full-Cycle Sales Execution: Own the end-to-end sales process from outbound prospecting to discovery, product demos, and closing deals.
• Pipeline Generation & Management: Consistently source and qualify leads to maintain a strong, reliable pipeline.
• Value-Based Selling: Clearly communicate ROI and business value by understanding each prospect's goals and aligning Brex’s solutions to their needs.
• Customer-Centric Problem Solving: Build trust through insight and service, helping prospects navigate challenges and unlock growth.
• Cross-Functional Collaboration: Work closely with Sales Development, Product, and Underwriting to create a smooth and impactful buyer experience.
• Develop a deep understanding of E-Commerce and Direct-to-Consumer business models, including paid media spend, inventory cycles, cash-flow constraints, fulfillment operations, and supplier payments.
• Engage founders, operators, and finance leaders on challenges tied to scaling online revenue, managing marketing ROI, and balancing growth with financial discipline.
• Tailor Brex’s value proposition to common E-Commerce workflows, including ad platforms, 3PLs, inventory vendors, marketplaces, and subscription-based tools.
• Stay current on trends in the E-Commerce ecosystem and bring market insights back to internal partners to improve messaging, positioning, and execution.

Requirements:

• 1+ years of closing experience in B2B SaaS sales, ideally in a high-volume or new business-focused role
• A high-performing SDR/BDR background with a strong track record of sourcing and qualifying opportunities due to high self-prospecting requirements in role
• Strong ability to communicate value and ROI to small or mid-sized business stakeholders
• Consistent quota attainment and a history of top-tier performance
• A proactive, self-motivated approach with a focus on results and customer impact
• Experience selling to or working with E-Commerce and Direct-to-Consumer brands, with a strong understanding of their operational and financial needs
• Bonus points for active participation in the E-Commerce ecosystem, including conferences, events, communities, or professional networks
• Strong understanding of paid media, online customer acquisition, and the financial implications of scaling e-commerce businesses
• Familiarity selling financial or operational software used by e-commerce teams (Expense Management, Payments, ERP, AP Automation, Banking, Accounting, etc.)

XML job scraping automation by YubHub

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

As an Account Executive, E-Commerce, you'll fuel Brex's growth by winning net-new revenue from small to mid-sized businesses. In this high-volume, fast-paced role, you'll prospect, build strong partnerships, and close deals by showing the unmatched value of Brex's all-in-one Financial Operating System,Corporate Card, Expense Management, and Travel.

Responsibilities

• Full-Cycle Sales Execution: Own the end-to-end sales process from outbound prospecting to discovery, product demos, and closing deals.
• Pipeline Generation & Management: Consistently source and qualify leads to maintain a strong, reliable pipeline.
• Value-Based Selling: Clearly communicate ROI and business value by understanding each prospect's goals and aligning Brex’s solutions to their needs.
• Customer-Centric Problem Solving: Build trust through insight and service, helping prospects navigate challenges and unlock growth.
• Cross-Functional Collaboration: Work closely with Sales Development, Product, and Underwriting to create a smooth and impactful buyer experience.

Requirements

• 1+ years of closing experience in B2B SaaS sales, ideally in a high-volume or new business-focused role
• A high-performing SDR/BDR background with a strong track record of sourcing and qualifying opportunities due to high self-prospecting requirements in role
• Strong ability to communicate value and ROI to small or mid-sized business stakeholders
• Consistent quota attainment and a history of top-tier performance
• A proactive, self-motivated approach with a focus on results and customer impact

Bonus points

• Active participation in the E-Commerce ecosystem, including conferences, events, communities, or professional networks
• Strong understanding of paid media, online customer acquisition, and the financial implications of scaling e-commerce businesses
• Familiarity selling financial or operational software used by e-commerce teams (Expense Management, Payments, ERP, AP Automation, Banking, Accounting, etc.)

Compensation

The expected OTE range for this role is $172,890 - $192,100.

XML job scraping automation by YubHub

In this role, you'll work closely with E-Commerce and Direct-to-Consumer operators to modernize how they manage spend across marketing, inventory, logistics, and vendors, helping fast-growing brands scale efficiently while maintaining financial control.

This role is ideal for someone who is energized by the pace of e-commerce, understands how online brands scale, and enjoys partnering with operators navigating rapid growth and complexity.

Responsibilities:

• Full-Cycle Sales Execution: Own the end-to-end sales process from outbound prospecting to discovery, product demos, and closing deals.

• Pipeline Generation & Management: Consistently source and qualify leads to maintain a strong, reliable pipeline.

• Value-Based Selling: Clearly communicate ROI and business value by understanding each prospect's goals and aligning Brex’s solutions to their needs.

• Customer-Centric Problem Solving: Build trust through insight and service, helping prospects navigate challenges and unlock growth.

• Cross-Functional Collaboration: Work closely with Sales Development, Product, and Underwriting to create a smooth and impactful buyer experience.

• Develop a deep understanding of E-Commerce and Direct-to-Consumer business models, including paid media spend, inventory cycles, cash-flow constraints, fulfillment operations, and supplier payments.

• Engage founders, operators, and finance leaders on challenges tied to scaling online revenue, managing marketing ROI, and balancing growth with financial discipline.

• Tailor Brex’s value proposition to common E-Commerce workflows, including ad platforms, 3PLs, inventory vendors, marketplaces, and subscription-based tools.

• Stay current on trends in the E-Commerce ecosystem and bring market insights back to internal partners to improve messaging, positioning, and execution.

Requirements:

• 1+ years of closing experience in B2B SaaS sales, ideally in a high-volume or new business-focused role.

• A high-performing SDR/BDR background with a strong track record of sourcing and qualifying opportunities due to high self-prospecting requirements in role.

• Strong ability to communicate value and ROI to small or mid-sized business stakeholders.

• Consistent quota attainment and a history of top-tier performance.

• A proactive, self-motivated approach with a focus on results and customer impact.

• Experience selling to or working with E-Commerce and Direct-to-Consumer brands, with a strong understanding of their operational and financial needs.

Bonus points:

• Active participation in the E-Commerce ecosystem, including conferences, events, communities, or professional networks.

• Strong understanding of paid media, online customer acquisition, and the financial implications of scaling e-commerce businesses.

• Familiarity selling financial or operational software used by e-commerce teams (Expense Management, Payments, ERP, AP Automation, Banking, Accounting, etc.).

XML job scraping automation by YubHub

In this high-volume, fast-paced role, you'll work closely with E-Commerce and Direct-to-Consumer operators to modernize how they manage spend across marketing, inventory, logistics, and vendors, helping fast-growing brands scale efficiently while maintaining financial control.

This role is ideal for someone who is energized by the pace of e-commerce, understands how online brands scale, and enjoys partnering with operators navigating rapid growth and complexity.

Responsibilities:

• Full-Cycle Sales Execution: Own the end-to-end sales process from outbound prospecting to discovery, product demos, and closing deals.
• Pipeline Generation & Management: Consistently source and qualify leads to maintain a strong, reliable pipeline.
• Value-Based Selling: Clearly communicate ROI and business value by understanding each prospect's goals and aligning Brex’s solutions to their needs.
• Customer-Centric Problem Solving: Build trust through insight and service, helping prospects navigate challenges and unlock growth.
• Cross-Functional Collaboration: Work closely with Sales Development, Product, and Underwriting to create a smooth and impactful buyer experience.
• Develop a deep understanding of E-Commerce and Direct-to-Consumer business models, including paid media spend, inventory cycles, cash-flow constraints, fulfillment operations, and supplier payments.
• Engage founders, operators, and finance leaders on challenges tied to scaling online revenue, managing marketing ROI, and balancing growth with financial discipline.
• Tailor Brex’s value proposition to common E-Commerce workflows, including ad platforms, 3PLs, inventory vendors, marketplaces, and subscription-based tools.
• Stay current on trends in the E-Commerce ecosystem and bring market insights back to internal partners to improve messaging, positioning, and execution.

Requirements:

• 1+ years of closing experience in B2B SaaS sales, ideally in a high-volume or new business-focused role.
• A high-performing SDR/BDR background with a strong track record of sourcing and qualifying opportunities due to high self-prospecting requirements in role.
• Strong ability to communicate value and ROI to small or mid-sized business stakeholders.
• Consistent quota attainment and a history of top-tier performance.
• A proactive, self-motivated approach with a focus on results and customer impact.
• Experience selling to or working with E-Commerce and Direct-to-Consumer brands, with a strong understanding of their operational and financial needs.

Bonus points:

• Active participation in the E-Commerce ecosystem, including conferences, events, communities, or professional networks.
• Strong understanding of paid media, online customer acquisition, and the financial implications of scaling e-commerce businesses.
• Familiarity selling financial or operational software used by e-commerce teams (Expense Management, Payments, ERP, AP Automation, Banking, Accounting, etc.).

XML job scraping automation by YubHub

The ideal candidate brings a strong pre-sales background, paired with experience leading post-sales teams and scaling customer-facing functions in high-growth SaaS environments. This role is based in Japan and requires business-level Japanese and English proficiency.

Key responsibilities include:

Recruiting, developing, and retaining a high-performing team across Solutions Consulting, Onboarding, Enablement, and Technical Account Management , cultivating a culture of customer-centricity and operational excellence Partnering with Japan Sales leadership to align on pipeline, deal strategy, and the motions that connect technical value to revenue Executing the end-to-end customer journey from pre-sales solutioning through onboarding, adoption, and renewal, building the milestones and frameworks that support value realization Helping define how Figma delivers and measures value for our customers, including success planning, executive engagement, and account health programs Serving as an executive sponsor for Figma's most strategic customer relationships in Japan, engaging at the C-suite and VP level to unblock challenges and support growth Bringing the voice of Japan's customers into Figma's global product and go-to-market strategy, partnering cross-functionally with Product, Engineering, and GTM leadership Tracking the KPIs that connect team activity to business outcomes and using them to drive continuous improvement

XML job scraping automation by YubHub

Vista is seeking an experienced Innovation Implementation Senior Manager to join its global implementation team. This is a senior leadership role with line management responsibility for three individuals. The role sits at the centre of Vista's innovation delivery model, translating prioritised opportunities into validated, scalable products.

Key Accountabilities

Innovation Project Delivery

• Own end-to-end delivery of innovation initiatives from approved concept through PoC, pilot, and transition into the bp ecosystem
• Translate business problems into clear problem statements, testable hypotheses, delivery plans, and success metrics
• Apply principled validation to prioritise higher-value opportunities and reduce low-impact delivery
• Make evidence-based decisions to continue, pivot, or stop initiatives based on user feedback and commercial signals
• Deliver to agreed scope, timelines, quality standards, and budgets, balancing trade-offs between speed, cost, learning, and value
• Lead solutioning across internal build, external partners, and hybrid delivery models
• Secure functional and technical resources, balancing ambition with cost and capacity constraints
• Act as single point of accountability for third-party delivery, ensuring milestones, costs, and outcomes are met
• Maintain clear, trackable delivery plans and reporting across all initiatives

Product Leadership and Agile Delivery Excellence

• Set and uphold product management standards, including vision, prioritisation, customer discovery, and outcome-led roadmaps
• Lead rapid, iterative product development using prototypes, MVPs, and controlled pilots
• Work directly with end users to test, refine, and validate solutions
• Ensure squads operate with agile practices and predictable delivery cadence
• Act as escalation point for product managers, unblocking delivery and strengthening decision-making
• Challenge assumptions and guide teams toward evidence-based outcomes
• Champion lightweight experimentation frameworks to accelerate learning cycles
• Maintain alignment with ST&S Technology delivery teams and strategic priorities

Transition, Scale and Integration Readiness

• Own transition and scale planning following PoC, ensuring solutions move effectively into Technology ownership
• Define clear handover artefacts to support scaling and avoid value loss
• Set realistic delivery timelines and hold internal and external partners accountable
• Ensure smooth, well-governed handover into Technology-led support teams
• Define clear exit criteria for initiatives that do not progress, collecting learning and avoiding sunk cost

Portfolio, Governance and Financial Stewardship

• Lead the implementation portfolio, tracking progress, risks, dependencies, and outcomes
• Introduce and maintain clear indicators and delivery metrics to support a principled innovation model
• Oversee budgets, spend, and value realisation, intervening early where outcomes are at risk
• Maintain project delivery data, reporting metrics, and dashboards
• Operate as a senior member of the Vista governance board, providing challenge and delivery insight

Senior Leadership within Vista

• Shape and improve Vista's delivery processes, standards, and ways of working
• Coach and develop team members, strengthening product delivery and techno-commercial judgement
• Foster a high-performance culture focused on accountability, rapid learning, and commercial impact
• Challenge stakeholders and influence decision-making to improve outcomes
• Stay current with innovation, AI, and product delivery advancements
• Directly lead three globally dispersed Product Managers, setting clear performance expectations

Essential Experience and Skills

• Experience in innovation delivery, product management, or product-led transformation, taking concepts through to validated products
• Strong product and project management capability, with experience in agile delivery environments
• Proven ability to develop use cases, including commercial benefit analysis and value articulation
• Experience working with technology partners, ideally including startups or emerging technology providers
• Experience leading prototyping, validation, and early-stage product scaling
• Strong stakeholder management across global, matrixed organisations
• Ability to challenge, influence, and operate effectively in ambiguous environments
• Strategic mindset with a focus on delivering measurable outcomes
• Experience working directly with end users to test and refine solutions

Desirable Experience

• Experience in corporate, startup, or corporate venturing / accelerator environments
• Commercial experience with a focus on value creation and business impact
• Exposure to AI, data-driven products, or emerging technologies
• Understanding of energy trading

Why Join Us?

We're committed to supporting leaders who want to make an impact. You'll have the chance to shape and influence outcomes across businesses. You'll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters.

We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive. Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that.

XML job scraping automation by YubHub

Key responsibilities include:

• Defining and evolving the system-wide software architecture for XBAT, spanning airborne vehicle, ground station, and autonomy layers.
• Translating safety and security goals into technical requirements, standards, and design patterns that guide engineers across multiple software teams.
• Ensuring architecture supports safety-critical and cyber-relevant workflows, including formalizing architecture decisions, traceability, and compliance pathways appropriate for advanced airborne systems.
• Driving cross-team alignment on APIs, data flows, fault handling, verification strategy, and risk management so mission, vehicle, and autonomy components integrate cleanly.
• Partnering with engineering leadership, system architects, and validation teams to balance innovation speed with rigorous assurance practices.
• Setting technical direction for long-term scalability: modularity, maintainability, testability, and support for future capability growth or certification needs.
• Mentoring senior engineers and architects, raising the bar for design rigor, documentation quality, and architectural judgment across the organization.
• Producing and maintaining architecture artifacts: high-level system diagrams, component interfaces, data models, risk analyses, and design rationales.
• Leading technical reviews for major features, changes, or integration points; ensuring alignment with architectural standards and safety/security constraints.
• Defining architecture governance: decision records, change control processes, quality gates, and collaboration flows among development, verification, and operations.
• Collaborating with systems, hardware, and avionics teams to manage boundaries, timing, resource allocation, and failure modes that affect overall aircraft and mission performance.
• Driving technology evaluation and roadmap: selecting or validating frameworks, middleware, and tooling that meet performance, assurance, and cyber-hardening needs.
• Supporting external or internal readiness evaluations: providing architectural evidence, participating in reviews, and helping the program articulate compliance posture as requirements evolve.
• Advocating for continuous improvement in architecture practice: metrics, architecture reviews, knowledge sharing, and onboarding for new team members.

XML job scraping automation by YubHub

You will work closely with engineering, supply chain, and quality teams to ensure products are manufacturable, traceable, and built to the required standards in a regulated environment.

Responsibilities:

• Develop, document, and maintain manufacturing processes, procedures, and work instructions for mechanical, electrical, and electromechanical assemblies.
• Support small production runs of high-value products, including occasional hands-on involvement to validate and refine manufacturing processes.
• Establish and continuously improve production workflows, tooling, fixtures, and assembly methods.
• Act as the primary manufacturing interface for engineering teams, providing input on DFM, and DFA.

Quality Systems & Compliance:

• Operate within and help maintain an ISO 9001 compliant manufacturing environment.
• Develop manufacturing records, support test reports and build documentation to ensure traceability and repeatability.
• Support internal and external audits and drive corrective and preventive actions as needed.
• Collaborate with quality teams to ensure production meets defined quality and reliability requirements.

Production Environment & Operations:

• Establish and manage production infrastructure, including equipment selection, calibration, maintenance, and tooling procurement.
• Support production builds through quality control checks, non-conforming material handling, and troubleshooting.
• Support production planning, scheduling, and on-time delivery of assemblies.

Systems & Data:

• Support the implementation and use of ERP, PLM, and PDM systems to manage production data, BOMs, revisions, and work orders.
• Ensure alignment between engineering data and manufacturing execution.

XML job scraping automation by YubHub

As a Developer Educator, you will create technical content to help customers and engineers at-large learn how Postgres, MySQL, Vitess, Neki, and the PlanetScale ecosystem works. You will also speak at conferences and events, representing PlanetScale in the database and engineering community. Additionally, you will create and refine product documentation, host livestreams and webinars to engage with and educate our community, and travel to connect with developers at events worldwide.

The ideal candidate is someone who teaches complex technical concepts in accessible ways, loves learning about and explaining full-stack application development, databases, and compute infrastructure, and is a natural communicator who can adapt their message for different audiences. They should thrive in community settings and enjoy building relationships with developers, have excellent writing skills, and be self-motivated and able to manage multiple projects independently.

What you will need includes 2+ years of experience in engineering, solution architecture, technical education, or developer relations, a strong understanding of relational databases (Postgres or MySQL), proven ability to create technical content, experience speaking at conferences or hosting technical presentations and events, and a willingness to travel between 20-50% of the time.

Experience with Vitess or other distributed database technologies, knowledge of distributed systems and database scaling challenges, and previous experience at a database or infrastructure company are also desirable.

XML job scraping automation by YubHub

Every idea starts with a problem. Ours was simple: Boats are special , but they're loud, pollutant, unreliable, and stuck in the past. Gas-powered boats dominate not because they're great, but because no better option has existed. Until now.

Arc is here to change that. We're building 100% electric boats from the ground up , quicker, quieter, easier to maintain, and better for the water they ride on. We're not just swapping gas for batteries. We're rethinking every detail on the boat , from propulsion and powertrain to software and ownership model , applying first-principles engineering from aerospace and EVs to deliver a better boating experience.

Electric boats haven't taken over yet. The tech hasn't been ready. The talent hasn't been focused here. That's our opportunity , and we're moving fast.

Who we're looking for

We're looking for a Director of Supply Chain who is fired up by our mission and ready to build the function end-to-end at a fast-scaling hardware startup. This is a hands-on leadership role. You'll operate as both a strategic leader and a day-to-day operator , personally driving critical supplier decisions, building scalable systems, and developing a high-performing, lean team.

You will be charged with ensuring Arc's supply chain scales reliably as we ramp production across recreational (Sport, Coast) and commercial product lines. This is a full-time, on-site role at our Los Angeles headquarters. You'll report to our Head of Operations and work closely with Manufacturing, Engineering, and Finance as a key member of the Operations leadership team.

Core responsibilities

Supply Base & Strategy

• Source and qualify suppliers across EV components and marine materials to meet cost, quality, and delivery targets
• Lead supplier negotiations (pricing, terms, agreements) and manage ongoing performance (scorecards, reviews)
• Build a resilient supply base (dual sourcing, lead time reduction, risk mitigation)
• Drive make vs. buy decisions and align supply chain to product roadmaps across the business

Planning, Inventory & Logistics

• Own demand translation into procurement and inventory strategy, balancing lead times, MOQs, and working capital
• Define and maintain inventory levels and warehouse operations (layout, systems, cycle counts)
• Manage inbound logistics, carrier relationships, and freight cost/reliability

Execution, Systems & NPI

• Own supply chain performance (OTD, inventory turns, forecast accuracy, supplier quality) and build the systems to support it
• Ensure data integrity and reporting across ERP/MRP systems
• Lead supply chain readiness for new products (sourcing, prototypes, risk assessment)

Team Leadership

• Build and lead a lean, high-performing team across procurement, planning, logistics, and warehouse
• Hire and develop talent with a high bar for ownership and output
• Establish clear structure and operating cadence as the team scales

Basic qualifications

• 8+ years of supply chain experience spanning procurement, planning, and/or logistics, with at least 4 years in a leadership role
• Experience sourcing and managing suppliers of complex electromechanical components (e.g., motors, power electronics, battery modules, or similar)
• Background in low-volume, high-mix manufacturing environments , startup or scale-up experience strongly preferred with a track record of building or significantly improving supply chain systems, processes, or teams

Bonus qualifications

• Experience in the marine, EV, or adjacent high-performance hardware industries
• Familiarity with global inbound logistics and customs/import compliance
• Experience scaling a supply chain function through a production ramp

Our values

We move with urgency and build with care. We value these five things above all else:

• Ownership over both your work and the company's success
• Empathy for colleagues and for customers
• Humility in problem solving and collaboration
• Pragmatism for navigating ambiguity quickly and sensibly
• Inclusion of different backgrounds, opinions, cultures, and perspectives

What we offer

We don't think great work happens by accident. We invest in the people building Arc , because when you're supported, you do your best work.

• Salary: $230,000
• Ownership – Equity in Arc
• 99% employer-paid health coverage – Medical, dental, and vision
• Arc Water Fund – Annual stipend to get out on the water, however you choose
• Captain Training – Get certified to take the boat out with friends and family
• 401(k) access – Plan your future
• Semi-annual bonuses – Tied to your impact, not just your tenure
• Daily team lunches, snacks, and good coffee while onsite
• Parental leave – Because family comes first
• Boat days – Yes, we actually go out on the water. A lot.

XML job scraping automation by YubHub

Responsibilities: Manage day-to-day activities of the test lab and maintain operational readiness to support 24/7 operations and critical test campaigns Lead and develop the test technician team, setting clear expectations, driving accountability, and supporting ongoing skill growth Own detailed test scheduling and execution, aligning with program priorities and engineering needs to meet milestones and deadlines Drive test execution quality and consistency through robust procedures, training, and technician oversight Oversee operation, maintenance, and calibration of environmental test equipment including vibration shakers, thermal chambers, and thermal vacuum chambers Partner closely with the cross-functional team to improve test processes, increase throughput, and support development of new lab capabilities Identify and eliminate bottlenecks across equipment, staffing, and processes to improve lab efficiency and utilization Promote and enforce a culture of safety, quality, and accountability across the lab Implement and uphold high standards of 5S practices to maximize efficiency and productivity

Requirements: 5+ years of experience in testing of electronics, electro-mechanical assemblies, or integrated systems 3+ years of experience leading technicians in a fast-paced and complex test or production environment Demonstrated ownership of test lab or production operations, including scheduling, equipment utilization, and team performance Strong understanding of thermal, thermal vacuum, and vibration testing Must be willing to work all shifts, overtime and/or weekends as needed, including support of 24/7 operations for critical test campaigns

XML job scraping automation by YubHub

We're building the foundation models that power the next wave of visual intelligence, and pretraining is where that work begins. This role sits at the center of our research effort, shaping training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models.

Responsibilities

• Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies)
• Develop and evaluate novel ideas across architecture, optimizers, and training algorithms
• Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design
• Lead focused research projects independently and drive larger cross-team initiatives

Requirements

• You've led or co-owned pretraining for a foundation model (image, video, LLM, or multimodal) that shipped to production or a major release
• Own architectural calls that move the model: attention patterns, modulation schemes, loss formulations, tokenization strategies
• Deep experience with large-scale distributed training: FSDP/TP/PP, multi-node runs at 500+ GPUs, debugging loss spikes, NaNs, throughput regressions, and silent correctness issues at scale
• Strong intuition for architecture and objective design , you've made calls on attention patterns, modulation schemes, or loss formulations that moved a real model
• Track record of shipping: top-venue publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) paired with production impact, or unambiguous production wins at a frontier lab
• Deep Python and PyTorch proficiency; comfortable reading and modifying low-level training code
• Familiarity with visual generative models is a must

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

XML job scraping automation by YubHub

As an Engineering Manager on the Infrastructure team at Cursor, you'll lead the team that owns the foundational cloud, networking, storage, and compute layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, data storage systems, and the compute runtimes that power production.

Cursor is one of the fastest-growing developer tools in the world, and you'll drive the cost management, regional deployment strategy, and infrastructure unification that make that growth possible. When your team's systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere.

You'll set technical direction, write and review code, and lead a team of strong infrastructure engineers, balancing hands-on contribution with growing your team's impact.

What you’ll do

• Owning Kubernetes and cluster foundations: building and operating production clusters with proper service mesh, scaling, and ingress that teams can confidently deploy to.

• Designing the geo-deployment architecture: building a replicable, robust process for deploying geo-replicated services across cloud regions and providers.

• Building edge and security infrastructure: designing the networking and security layer at the edge to protect against abuse, manage rate limiting, and optimize traffic routing.

• Owning data storage strategy: leading the team's work on Postgres, OLAP systems, and caching layers, ensuring our storage infrastructure is reliable, performant, and scales with the product.

• Owning cost management and optimization: building attribution systems, identifying waste, and ensuring we're making smart tradeoffs between cost and reliability across all cloud spend.

• Unifying the compute platform: defining a single, opinionated container orchestration strategy so every team gets consistent, reliable deployments out of the box.

• Hiring and growing the team: sourcing, interviewing, and closing top infrastructure talent, while developing your engineers through coaching, mentorship, and high-leverage project assignments.

You may be a fit if

• You have led engineering teams building and operating production infrastructure or platform systems at scale.

• You have deep experience with AWS (or comparable cloud providers), especially VPC networking, EKS/K8s, and IAM/account management.

• You've built and operated production Kubernetes clusters at scale, including service mesh, autoscaling, and multi-region deployments.

• You have strong opinions on databases, storage engines, caching, and schema design, and understand the tradeoffs between performance, consistency, and cost.

• You understand edge networking, CDN/WAF architectures, and traffic management at the infrastructure level.

• You care about infrastructure-as-code, reproducibility, and making it easy for other teams to self-serve reliable infrastructure.

• Experience with cost optimization at scale, infrastructure migration/unification, or data storage systems (Postgres, ClickHouse, OLAP) is a plus.

Salary

$150,000 - $200,000 per year

Required Skills

• AWS (or comparable cloud providers)
• VPC networking
• EKS/K8s
• IAM/account management
• Kubernetes
• Service mesh
• Autoscaling
• Multi-region deployments
• Databases
• Storage engines
• Caching
• Schema design

Preferred Skills

• Cost optimization at scale
• Infrastructure migration/unification
• Data storage systems (Postgres, ClickHouse, OLAP)

XML job scraping automation by YubHub

We are seeking a seasoned strategic leader to serve as a key advisor to the President of EA SPORTS and their Leadership Team. Reporting to the VP of Corporate Strategy, this is a high-visibility position with significant engagement across EA, including the CEO and their executive staff.

This role offers a rare opportunity to define and execute a strategy that positions EA SPORTS as the most valuable and globally recognized sports brand. Working across iconic franchises such as FC, Madden NFL, College Football, UFC, NHL, and F1, you will shape the future of EA SPORTS and its influence in the global sports ecosystem, extending in, around, and beyond the bounds of interactive entertainment.

Your leadership will directly impact how EA SPORTS connects with fans worldwide, deepens its cultural relevance, and drives long-term business growth. Drawing on deep expertise in the sports industry and a proven track record of developing strategies in dynamic, competitive markets, you will play a pivotal role in unlocking the next phase of growth for EA SPORTS.

Responsibilities

Strategic Vision and Leadership

• Serve as a trusted thought partner to the President of EA SPORTS and leadership across EA SPORTS teams, including commercial, brand marketing, and the GMs of EA SPORTS individual franchises, shaping a long-term vision that positions the brand as a leader in the global sports ecosystem.

• Build deep, credible relationships with senior leaders across EA SPORTS, positioning the Strategy function as an embedded and trusted member of the decision-making process.

• Develop relationships with senior strategy leaders across relevant industries, including leagues, teams, media entities, and adjacent businesses, to exchange insights, explore opportunities, and inform EA SPORTS' strategic priorities.

• Provide thought leadership on how changes in sports fandom, fan engagement, and emerging technologies are reshaping the future of sports, and create opportunities for EA SPORTS to lead.

• In partnership with the Business Strategy and Intelligence teams, proactively analyze industry dynamics, including league and team performance, capital trends, rights structures, and emerging business models, to identify actionable implications for EA SPORTS.

Strategic Planning

• Develop and manage a robust framework for evaluating strategic opportunities, including new ideas, licenses, and partnerships, ensuring alignment with EA SPORTS' growth objectives.

• Deliver ad hoc financial, market, and scenario analyses to support the EA SPORTS leadership team in navigating complex business decisions.

• Lead select high-impact strategic initiatives in collaboration with key stakeholders, such as evaluating new licenses or supporting M&A diligence, to guide critical business decisions.

• Collaborate with Development, Finance, and commercial teams to align franchise strategies with EA's corporate strategy and financial goals.

• Deliver data-backed recommendations to guide strategic decisions and provide clear updates to C-level leadership and Board of Directors.

Mentor And Develop Strategy Talent

• Foster a collaborative, innovative culture that bridges sports, entertainment, and technology, inspiring teams to think expansively.

• Act as a senior leader within the Corporate Strategy team, actively mentoring and sponsoring emerging strategy talent, developing a pipeline of future scaled leaders, and contributing to the broader capability-building agenda of the function.

• Demonstrate experience building and developing high-performing teams, with a track record of growing talent and, where relevant, expanding team scope and headcount in line with business needs.

Requirements

• 12+ years of demonstrable relevant work experience in strategy or a related role, with 3+ years in a management capacity, in the media, sports, or technology space.

• Deep experience in the sports ecosystem, including leagues, teams, sports networks, media entities, or adjacent businesses, with a strong working understanding of how rights structures, commercial partnerships, and value pools operate across the industry. Experience in or alongside the gaming industry is a plus, but sports industry expertise is the priority.

• Expertise in developing and implementing large-scale strategies that deliver measurable business impact, including experience with adjacent revenue models, licensing, and partnership structures.

• A proven relationship builder and influencer, someone who earns trust with senior stakeholders through credibility, humility, and a genuine desire to learn the business, and who can shape decisions without needing to be the loudest voice in the room.

• Demonstrated success in collaborating with and advising senior leaders across complex, matrixed organizations, and influencing decision-making in high-stakes environments.

• Exceptional strategic thinking and analytical skills, with experience in scenario modeling and financial analysis.

• Experience building and scaling teams, with demonstrated ability to attract, develop, and retain strong strategy talent.

• Adept at balancing a long-term strategic vision with immediate business needs, navigating ambiguity with clarity and confidence.

• Passionate about sports, innovation, and shaping the future of entertainment.

XML job scraping automation by YubHub

Our EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favourites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We’re a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the centre of the broader entertainment ecosystem.

You will be the hands-on technical artist/producer, reporting to the head of XO AI Labs. You will design, prove, and productionize AI-powered creative workflows, creating creative and reliable image, video, and audio pipelines for creative and production teams. You'll architect the creative workflows for an end-to-end AI content creation and deployment solution (from dataset & prompt systems through approvals, versioning, and channel delivery).

Responsibilities:

• Prove new AI-based creative workflows: Rapidly prototype AI-enabled image/video/audio pipelines, run technical validations, and draft playbooks for creative and production teams.
• Own the end-to-end workflows: Specify requirements, data flows, and interfaces across briefing, generation, edit/review, rights/approvals, localization, and QC
• Model & tooling mastery: Operationalize precision controls (e.g., LoRA, Control/conditioning, pose/layout, style transfer, in/outpainting, frame interpolation/upscaling) to deliver brand-true high-quality visuals at scale.
• Production integration: Connect workflows with source control, asset management/DAM, project trackers, render/encode farms, and publishing endpoints; define observability (quality gates, telemetry, cost).
• Guardrails & governance: Embed IP usage, approvals, disclosures, and policy compliance into pipelines; define acceptance criteria, review checklists, and incident handling
• Thought leadership: Provide thought leadership to our organization, promote 'what could be'; lead ‘prove, pilot, and production’ efforts; facilitate showcases and workshops for global partners.
• Global collaboration: Coordinate with studios and regional teams; plan international on-sites to unblock adoption and ensure workflows meet local market needs.

Qualifications:

• 8+ years experience with production content creation (images, videos, etc...), 2+ years integrating AI into content production
• 4+ years of leader experience, building, scaling, and leading teams
• Demonstrated experience building AI-driven creative pipelines (image/video/audio) and putting them into production for marketing or production teams. Experience collaborating or working for creative agencies.
• Hands-on with visual diffusion workflows, prompt & context systems, precise micro-adjustments (control/conditioning, adapters, fine-tuning/LoRA), and quality gates.
• Practical video generation/editing experience (text-to-video, image-to-video, temporal consistency, editing/Upscaling/Interpolation) for campaign use.
• Strong creative and production mindset: versioning, asset QC, rendering/encoding, delivery specs, performance & cost tracking.
• Image and video model tuning and LoRa creation. Driving unique brand and style consistency in creative and production assets.
• Ability to operate in a startup-like setting: requirements discovery, rapid prototyping, iterative delivery with measurable outcomes.
• Collaboration & influence across creative, production, engineering, and legal/policy; excellent training & documentation skills.
• Creativity, critical thinking, and excellent ability communicate complex concepts to a non-technical audience required.
• Experience with Adobe Photoshop, Lightroom, ComfyUI, Veo, Nano Banana, diffusion models, controlnets, LoRA's, etc...
• Willingness and ability to travel internationally.

Preferred Qualifications:

• Experience building or integrating end-to-end content platforms (brief, generate, review, approve, localize, and deploy), including telemetry/observability, cost controls, and quality controls
• Background in motion/3D and creative tooling (e.g., After Effects/Premiere, Blender, Nuke, Unreal/Unity) and strong design fundamentals (typography/layout).
• Familiarity with brand/IP approvals, rights management, and global campaign delivery.
• Experience developing solutions leveraging generative engineering solutions (Cursor, Kiro, Claude Code, etc...)

XML job scraping automation by YubHub

Key responsibilities include building and leading a regional team of Premium Support Engineers, operating as a player-coach, owning the end-to-end Premium Support experience, overseeing daily operations of the Premium Support queue, serving as the escalation lead for critical or sensitive issues, and communicating with customers during high-pressure situations.

The ideal candidate will have 5+ years of experience in technical support, developer support, or similar roles within a technology company, with 2+ years in a leadership or management capacity. They should have a strong technical foundation in software development, systems, or DevOps workflows, and experience operating in fast-moving, ambiguous environments.

Additional requirements include experience managing support operations in platforms such as Zendesk, Linear, or similar systems, strong cross-functional collaboration skills, exceptional communication skills, and a proven ability to hire, develop, and retain high-performing technical support talent.

Nice to have includes experience supporting developer tools, AI products, or highly technical SaaS platforms, building or scaling premium or enterprise support programs in early-stage or high-growth environments, and working with global or distributed support teams.

Replit offers competitive salary and 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, holidays, quarterly team gatherings, and in-office amenities.

XML job scraping automation by YubHub

Key responsibilities include:

• Developing and executing our Country strategy, including sales, customer delivery, KPI setting and hiring
• Designing the optimal pipeline to reach our ambitious sales targets in the B2B side
• Hiring the founding country team responsible for sales and implementations
• Defining event priorities and where to invest for brand awareness
• Representing ElevenLabs in events and media appearances
• Working with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team

Requirements include:

• 15+ years of experience leading teams and highly complex projects
• Background in consulting and sales
• Deep expertise in deploying technical products and/or solutions to enterprises
• Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to produce results
• Outstanding communication and interpersonal skills
• A hands-on leader who thinks outside the box and wants to generate results
• Proven ability to build and scale high-performing teams
• Native speaker of the local language

XML job scraping automation by YubHub

In this role, you will optimize our ability to scale by taking on strategic projects and acting as the connective tissue that keeps the Finance engine running as we continue to drive the development and adoption of safe, frontier AI.

Key responsibilities include providing hands-on operational leadership to the CFO, owning end-to-end execution of key strategic initiatives across FP&A, Accounting, Tax, Treasury, and Finance Systems, consolidating critical business intelligence from multiple channels and systems into actionable priorities, and leading prioritization and orchestration of CFO engagement with internal executive stakeholders, the Board, investors, and external partners.

You will also design and implement processes and workflows to support Anthropic's growth while maintaining quality and speed, champion and drive the Finance organization's continued adoption of Claude, identifying and leading new opportunities to integrate Claude deeper into daily workflows across FP&A, Accounting, Tax, Treasury, and Finance Systems, and identify automation opportunities and build operational frameworks that scale with the business.

To be successful in this role, you will need to have 8+ years of experience in Finance, Strategy, Business Operations, or Chief of Staff roles at high-growth technology companies, bring a strong foundation in finance or a highly analytical discipline, demonstrate strong project management skills with the ability to collaborate and influence cross-functional stakeholders, possess exceptional operational discipline to make smart decisions quickly while maintaining high standards for execution, and demonstrated enthusiasm for applying AI tools (especially Claude) to finance workflows.

Additionally, you should thrive in ambiguity and can rapidly synthesize complex information into actionable insights, have experience in FP&A, investment banking, management consulting, or corporate strategy, have experience working at both startups and large companies, understanding how to scale processes, and have a track record of designing and implementing systems and processes for high-growth environments.

XML job scraping automation by YubHub

You will serve as a strategic partner, shaping how we win in Singapore while building the operational foundations to scale , and contributing to the broader APJ regional strategy.

You'll start as an individual contributor with the opportunity to build and lead a team over time as the business scales. From day one, you'll work closely with S&O counterparts across Japan, South Korea, Australia, New Zealand, India, and the wider APJ region to share best practices and drive consistency across the region.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process for Singapore, including quarterly and annual cycles, and collaborate with Finance on target setting.

• Develop the strategy for segmenting territories and accounts across Singapore, with an eye to how it fits into the broader APJ portfolio.

• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities , both within Singapore and in coordination with adjacent APJ markets.

• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.

• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights, and benchmark against other APJ markets where useful.

Cross-Functional & Regional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.

• Partner with S&O leaders across APJ (Japan, South Korea, Singapore, India, ASEAN) to align on regional standards, share insights, and drive consistency in how we operate across the region.

• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates for Singapore and APJ leadership.

• Drive cross-functional alignment on go-to-market execution across Singapore and contribute to APJ-wide initiatives.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.

• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.

• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

You may be a good fit if you have:

• 15 to 18 years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles

• Demonstrated knowledge of the broader APJ region, with exposure to GTM dynamics across multiple APJ markets (e.g., ANZ, Japan, South Korea, Singapore, India, ASEAN)

• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights

• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams

• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools

• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership

• Experience advising or partnering with regional leadership on GTM strategy

• Based in Australia with working proficiency in English

Strong candidates may also have:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software

• Prior people management experience, or readiness to build and lead a team as the function scales

• Experience working across multiple APJ markets or coordinating regionally distributed S&O work

• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting

• MBA or advanced degree

XML job scraping automation by YubHub

Compensation:

$325K – $405K • 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.

About the Team:

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

Codex Security is OpenAI’s first security agent, built to scan GitHub Cloud repositories, validate real vulnerabilities, and integrate with Codex to help generate fixes.

About the Role:

Lead an effort to map, characterise, and prioritise cross-layer vulnerabilities in advanced AI systems – spanning data pipelines, training/inference runtimes, system and supply chain components. You’ll drive offensive research, produce technical deliverables, enhance the Codex Security product line, and serve as OpenAI’s primary technical counterpart for select external partners (including potential U.S. government stakeholders).

Responsibilities:

• Conduct deep security research on real-world software systems to discover complex vulnerabilities across large codebases and distributed architectures.

• Investigate and validate vulnerabilities discovered by AI-driven security agents, including building proofs-of-concept and exploit demonstrations.

• Partner with engineering teams to improve automated vulnerability discovery, validation, and remediation workflows as part of product development.

• Build high-quality security datasets and evals that will help advance model’s cybersecurity capabilities

• Train and improve AI models used for vulnerability discovery, validation, and automated remediation by developing datasets, evaluations, and feedback loops grounded in real-world security research.

• Publish technical write-ups, research insights, and vulnerability analyses that advance the state of application security.

You may thrive if you:

• Have strong experience in vulnerability research, exploit development, or offensive security.

• Have deep experience with cutting-edge offensive-security techniques

• Are fluent across AI/ML infrastructure (data, training, inference, schedulers, accelerators) and can threat-model end-to-end.

• Operate independently, align diverse teams, and deliver on tight timelines.

• Communicate clearly and concisely with experts and decision-makers.

• Care deeply about improving the security of widely used software and open-source infrastructure.

• Are a strong developer who can work in a small energetic team

Goals & impact:

• Build AI-driven systems that can discover high-impact vulnerabilities in widely deployed systems and open-source software before attackers do.

• Improve the precision and effectiveness of AI-driven security agents by grounding them in real-world vulnerability research.

Key technical challenges:

• System-level vulnerability discovery , identifying complex vulnerabilities that span multiple services, trust boundaries, or components.

• High-confidence validation , distinguishing real exploitable vulnerabilities from speculative or theoretical issues.

• Scaling security research with AI agents , guiding automated systems to analyse millions of commits while maintaining research-level rigor.

• Automated exploit and proof-of-concept generation , building reproducible demonstrations of vulnerabilities within sandboxed environments.

• Building large systems that work within OpenAI’s enterprise architecture

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.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to benefit society in countless ways, and we want to ensure that everyone has access to the resources they need to succeed. That’s why we’re committed to creating a workplace where everyone feels welcome, valued, and empowered to contribute their best work.

We strive to create a culture of inclusivity, diversity, and respect, where everyone feels comfortable sharing their ideas, perspectives, and experiences. We believe that our differences are what make us stronger, and we’re committed to fostering a workplace where everyone can thrive.

If you’re passionate about using AI to drive positive change and want to join a team that shares your values, we encourage you to apply for this role. Together, let’s build a brighter future for all.

XML job scraping automation by YubHub

As part of this team, the Sight Vertical is responsible for building an end-to-end business around AI/ML anomaly detection products using both image data ( Sight) and parametric data ( Sense). This vertical transforms raw data into actionable manufacturing intelligence through products focused on visual error-proofing, defect detection, and assembly process monitoring.

The Opportunity

Are you a technical leader who thrives at the intersection of software engineering, data science, and physical manufacturing? As the Software Engineering Manager for the Sight Vertical, you will lead a high-performing team of software and data engineers building our computer vision and analytics suite.

While technical mastery in software development is important, your primary mission is leadership. You will be responsible for fostering a culture of engineering excellence, creativity, mentoring talent, and ensuring the seamless delivery of complex software products. You won't just oversee code; you will architect the engineering culture that allows AI models to move from research to global industrial scale.

Responsibilities

The Position

Reporting to the Sight Vertical Lead, the Software Engineering Manager is responsible for the execution and technical health of the Sight and Sense product lines. You will lead the engineering team in translating strategic goals into robust, scalable software, ensuring our products meet rigorous industrial standards for global rollout.

_Note: This role is 100% on site in the Dearborn, MI area and may require some travel to manufacturing facilities for product development and deployment validation._

What You’ll Be Able to Do

• Engineering Leadership & Mentorship: Lead, coach, and grow a multi-disciplinary team of software and data engineers. Foster a collaborative environment focused on continuous improvement and professional development.

• Technical Delivery: Own the software development lifecycle for Sight and Sense products. Ensure the team delivers high-quality, maintainable code that meets project milestones and performance benchmarks and results in a reliable and highly scalable product.

• Architecture & Strategy: Provide technical oversight for software and hardware architecture, MLOps pipelines, technology stack selection, and controls integration. Balance the need for rapid innovation with the stability required for 24/7 manufacturing environments.

• Cross-Functional Collaboration: Partner closely with Product Managers and stakeholders to translate manufacturing challenges into technical roadmaps and executable engineering backlogs.

• Platform Integration: Ensure all vision products are built for seamless integration with centralized data and operating platforms, adhering to a "build once, scale everywhere" philosophy.

• Operational Excellence: Drive engineering best practices, including automated testing, CI/CD, and robust monitoring for models deployed at the "edge" (on-site factory hardware).

• Innovation: Drive innovation by integrating Agentic workflows and AI-assisted engineering tools to maximize team productivity and software quality

• Deployment Oversight: Work with site-level stakeholders to ensure technical solutions account for real-world variables such as factory lighting, line speeds, and network constraints.

Qualifications

Minimum Requirements

• Bachelor’s degree in Computer Science, AI/ML, or a related technical field.

• Leadership Experience: 3+ years of experience directly managing software engineering teams, with a proven track record of hiring, mentoring, and retaining talent.

• Technical Background: 5+ years of experience in software engineering, specifically involving AI/ML, Computer Vision, or complex data-driven products.

• Systems Knowledge: Deep understanding of the machine learning lifecycle (data engineering, model training, inference, and monitoring).

• Agile Proficiency: Extensive experience leading teams in Agile environments, managing sprints, and optimizing delivery velocity.

Preferred Requirements

• Master’s in a technical field related to Computer Vision, Software Development, or Data Science.

• Experience with MLOps platforms and cloud infrastructure (GCP, Azure, or AWS).

• Experience scaling AI/ML products from a single pilot to a global enterprise footprint in an industrial or IoT context.

• Knowledge of industrial communication protocols and edge computing hardware.

Success in the Role

• Team Health: High team engagement, low turnover, and a clear pipeline for internal career growth.

• Deployment Velocity: Significant reduction in the time required to move a vision model from development to global production.

• Engineering Quality: High reliability of deployed systems with minimal site-specific custom engineering required.

• Business Impact: Measurable improvements in defect detection rates and quality metrics across global manufacturing sites.

• Technical Standard: Establishing the Sight and Sense products as the gold standard for vision-based anomaly detection within the enterprise.

XML job scraping automation by YubHub

In this role, you'll:

Define and own the strategy, roadmap, and execution for Twilio's SMS and RCS APIs, driving innovation while simplifying the developer experience.

Lead the evolution of our messaging platform, including launching new cross-channel APIs and evolving our legacy APIs at global scale.

Work backwards from developers and enterprises to design intuitive, consistent APIs that power billions of customer interactions

Gather market intelligence, analyze usage patterns, and synthesize insights from prototypes to innovate

Partner closely with engineering, design, GTM, and partner teams to scope, build, and launch capabilities

Drive experimentation through betas and A/B tests, iterating quickly to achieve product–market fit for emerging conversational experiences.

Use data and metrics to identify growth opportunities, performance gaps, and areas to improve reliability.

Mentor and influence teams across the org, championing a developer-first culture in a distributed, remote-first environment.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

XML job scraping automation by YubHub

This is a deeply technical, hands-on role. You'll read and write code daily, dig into low-level systems, debug complex issues across massive datasets, and work on both core database scaling projects and application features. You'll collaborate closely with backend engineers, data engineers, and infrastructure teams to ensure our database architecture keeps pace with Gamma's growth.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Architect and implement solutions for horizontally scaling PostgreSQL to hundreds of millions of users and hundreds of terabytes of data

• Own database performance, availability, and reliability as usage grows by orders of magnitude

• Debug complex issues across very large datasets and optimize query performance at scale

• Establish best practices for database design, query optimization, and data modeling across engineering

• Work across core infrastructure and application features that depend on database architecture

• Collaborate with backend, data, and infrastructure engineers to align database strategy with product needs

Requirements

• 10+ years of software engineering experience with deep expertise in large-scale relational database systems, including hands-on experience managing hundreds of terabytes of data in production

• Expert-level understanding of PostgreSQL (or comparable relational databases), horizontal scaling techniques such as sharding and partitioning, and complex query tuning

• Strong programming skills in at least one backend language, with experience writing and maintaining highly available web APIs

• Experience with large-scale event streaming systems, preferably Apache Kafka

• Ability to explain complex technical concepts clearly to engineers across teams

• Familiarity with TypeScript, Prisma, Apollo GraphQL, Terraform, AWS, or AI/LLM tooling (Nice to have)

Compensation

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits & equity.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

We're looking for a Program Operations Manager to build and run the operational backbone of our Human Data program. You'll own the systems that keep a large, distributed group of external experts productive: onboarding, access and tooling, communications, data integrity across our vendor partner, and the reporting layer that shows how the program is performing.

Responsibilities:

• Run onboarding end-to-end. Own the workflow that takes external experts from offer-accepted to productive , setup, access, communications, and the things that inevitably go sideways.
• Own access provisioning. Grant, audit, and maintain access across collaboration tools and internal systems for a large external population. Build the documented, auditable process that makes this scale.
• Maintain program data integrity. Keep the tracking systems research teams rely on accurate and current; reconcile records with our external workforce partner and catch discrepancies early.
• Build program reporting. Stand up weekly metrics on headcount, time-to-productive, support volume, and domain coverage. Use the data to spot gaps and surface recommendations.
• Partner across the organization. Work with research DRIs, IT, and our vendor partner to resolve access issues and keep experts unblocked.

You may be a good fit if you:

• Have 4+ years of experience in program operations, research operations, recruiting coordination, vendor management, or a similar operational role
• Have owned an operational process end-to-end , you've been the person accountable when something broke, and the person who fixed it
• Are comfortable being the primary point of contact for a large, distributed population , you answer questions directly rather than routing them
• Exercise strong judgment about prioritization when the volume of work exceeds the time available, and know when to escalate versus resolve independently
• Are highly detail-oriented and take real ownership of data accuracy , you notice when a tracker is stale and can't leave it that way
• Write clearly and concisely; most of this job happens over Slack and email, and clarity compounds across hundreds of interactions
• Are comfortable executing at high volume in a program that's still being shaped , you handle edge cases well and surface what you learn
• Use AI tools as a core part of how you work , drafting communications, cleaning data, building lightweight automations , and are comfortable with spreadsheets when that's the right tool

Strong candidates may also have:

• Experience scaling an operational program through rapid growth
• Background in external workforce, vendor, or recruiting operations
• Light scripting or automation experience (Apps Script, Zapier, or similar)

The annual compensation range for this role is $270,000-$290,000 USD.

XML job scraping automation by YubHub

In this role, you'll think about queries and RPCs in terms of syscalls, cache lines, and wire formats, and design systems that stay fast and predictable under load. You'll help define and harden the foundation for our training and serving stack: from storage and indexing strategies, to streaming and fanout, to backpressure and failure handling across services and regions.

You'll work closely with software engineering, data infra, and SRE partners to ensure our systems are observable, debuggable, and operable in production. If topics like IO scheduling and batching, lock-free or low-contention data structures, connection pooling, query planning, kernel and network tuning, on-disk layout and indexing, circuit-breaking, autoscaling, incident response, NixOS, Rust, and robust SLIs/SLOs sound interesting (even if it's just a subset), this role gives you a chance to apply that expertise to business-critical, high-leverage infrastructure at Pinterest scale.

What you'll do:

• Scale the decision making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments

• Improve the developer experience for the data science team

• Upgrade our observability tooling

• Make every deployment smooth as our infrastructure evolves

What we're looking for:

• Deep understanding of Linux

• Excellent writing skills

• A systems-oriented mindset

• Experience in high-performance software (RTB, HFT, etc.)

• Software engineering experience + reliability (e.g. CI/CD) expertise

• Strong observability instincts

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

• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)

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

Nice-To-Haves:

• Reverse-engineering experience

• Terraform, EKS, or MLOps experience

• Python, Scala, or Zig experience

• NixOS experience

• Adtech or CTV experience

• Experience deploying a distributed system across multiple clouds

• Experience in hard real-time low-latency

XML job scraping automation by YubHub

Our serving stack operates at massive global scale, delivering millions of ad requests per second through a geo-distributed, low-latency system that combines large-scale GPU/CPU inference, real-time bidding, and intelligent ranking pipelines.

This role focuses on advancing the performance, efficiency, and scalability of the next generation of model serving and inference platforms for Ads.

As a senior technical leader, you’ll design and optimize high-performance serving systems and GPU inference frameworks that drive measurable latency improvements and cost efficiency across Microsoft’s ad ecosystem.

You’ll work across the stack,from CUDA kernel tuning and NUMA-aware threading to large-scale distributed orchestration and model deployment for deep learning and LLM workloads.

This is a rare opportunity to shape the architecture of one of the world’s most advanced, mission-critical online serving platforms, collaborating with world-class engineers to deliver innovation at Internet scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Design and lead the development of large-scale, distributed online serving systems,including GPU-accelerated and CPU-based ranking/inference pipelines,to process millions of ad requests per second with ultra-low latency, high throughput, and solid reliability.

Architect and optimize end-to-end inference infrastructure, including model serving, batching/streaming, caching, scheduling, and resource orchestration across heterogeneous hardware (GPU, CPU, and memory tiers).

Profile and optimize performance across the full stack,from CUDA kernels and GPU pipelines to CPU threads and OS-level scheduling,identifying bottlenecks, tuning latency tails, and improving cost efficiency through advanced profiling and instrumentation.

Own live-site reliability as a DRI: design telemetry, alerting, and fault-tolerance mechanisms; drive rapid diagnosis and mitigation of performance regressions or outages in globally distributed systems.

Collaborate and mentor across teams,driving architecture reviews, enforcing engineering excellence, promoting system-level optimization practices, and mentoring others in deep debugging, profiling, and performance engineering.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Industry experience in advertising or search engine backend systems, such as large-scale ad ranking, real-time bidding (RTB), or relevance-serving infrastructure.

Hands-on experience with real-time data streaming systems (Kafka, Flink, Spark Streaming), feature-store integration, and multi-region deployment for low-latency, globally distributed services.

Familiarity with LLM inference optimization,model sharding, tensor/kv-cache parallelism, paged attention, continuous batching, quantization (AWQ/FP8), and hybrid CPU–GPU orchestration.

Demonstrated success operating large-scale systems with SLA-based capacity forecasting, autoscaling, and performance telemetry; proven leadership in cross-functional architecture initiatives and technical mentorship.

Passion for performance engineering, observability, and deep systems debugging, with a solid drive to push the limits of serving infrastructure for the next generation of ads and AI models.

Deep expertise in GPU inference frameworks such as NVIDIA Triton Inference Server, CUDA, and TensorRT, including hands-on experience implementing custom CUDA kernels, optimizing memory movement (H2D/D2H), overlapping compute and I/O, and maximizing GPU occupancy and kernel fusion for deep learning and LLM workloads.

Solid understanding of model-serving trade-offs,batching vs. streaming, latency vs. throughput, quantization (FP16/BF16/INT8), dynamic batching, continuous model rollout, and adaptive inference scheduling across CPU/GPU tiers.

Proven ability to profile and optimize GPU and system workloads,including tensor/memory alignment, compute–memory balancing, embedding table management, parameter servers, hierarchical caching, and vectorized inference for transformer/LLM architectures.

Expertise in low-level system and OS internals, including multi-threading, process scheduling, NUMA-aware memory allocation, lock-free data structures, context switching, I/O stack tuning (NVMe, RDMA), kernel bypass (DPDK, io_uring), and CPU/GPU affinity optimization for large-scale serving pipelines.

#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation.

XML job scraping automation by YubHub

Our vision is bold and broad , to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all , consumers, businesses, developers , so that everyone can realize its benefits.

We are looking for a Principal Software Engineer with solid technical skills, a systematic approach to problem-solving, full stack knowledge, and expertise in building robust, long-lasting solutions. In addition to effectiveness, we value candidates who bring positive energy, empathy, and kindness to our team each day.

This position focuses on designing and developing scalable backend systems, making key architectural decisions, and collaborating with multiple teams to deliver impactful solutions. The ideal candidate is deeply skilled, passionate about innovation, and excels at solving problems. This role offers the chance to create outstanding consumer products and experiences in a fast-paced environment.

As part of the Shopping team, you will contribute to shopping features in Copilot, Bing, and Edge browser, working closely with Product Management and Design teams.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

XML job scraping automation by YubHub

As a Senior Software Engineer on the Edge Engineering System team, you will be responsible for using appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. You will take responsibility for the content of your AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.

You will use debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. You will conduct incident retrospectives and identify root causes of problems, implementing repair actions, and identifying mechanisms to prevent incident recurrence with minimal supervision.

Under minimal guidance, you will apply least-access principles, and use logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security. You will review product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature.

You will bring insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers’ skills with minimal guidance. You will review code in a timely fashion that helps accelerate the pace of development on the team.

You will consider diagnosability, reliability, testability, and maintainability when reviewing code and understand when code is ready to be shared or delivered. You will apply and review for coding patterns, security risks, compliance issues, and best practices in code reviews.

You will understand and provide feedback for proposals for architecture, with technical leadership from others. With minimal supervision, you will test and explore various design options for a product/solution feature, outlining strengths and weaknesses of each option.

You will own or collaborate with other engineers on the architecture of solutions, following technical leadership as applicable. You will contribute to the development of design documents that support user stories and other product requirements with oversight.

You will develop an awareness of the current technology landscape. You will escalate and share findings from investigations with the team and own some design decisions.

You will help to ensure system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations.

You will uphold Microsoft standards of security, privacy, and other compliance requirements and expectations.

You will understand the importance of building solutions that expand upon the work of others.

You will contribute to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.

You will create a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code with minimal supervision.

You will execute test plans that incorporate security testing to validate security invariants (including negative cases) with minimal supervision.

You will add new tests to cover gaps, deleting or fixing broken tests, improving the speed, reliability, and defect localization of tests in the feature area.

You will build testable code and consider testability during design for a set of features with minimal guidance.

You will understand the different types of tests that can be done on a particular system (e.g., unit tests), and maintain up-to-date understanding of testing architectures used both across Microsoft and across the industry.

You will identify dependencies and incorporate them into the development of design documents for a product area with little oversight.

You will actively identify other teams and technologies to leverage, how they interact, and where their own system or team can support others.

You will understand downstream interactions between systems.

You will contribute to collaborating with other teams to reach common goals where dependencies and validation concerns overlap.

You will contribute to the identification of requirements for, and development of automation within production and deployment of a complex product feature, targeting zero-touch deployment when possible.

You will run code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.

You will apply best practices to build code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants.

You will follow best practices for product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises.

You will ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility.

You will check for visible evidence (e.g., audit trail) to demonstrate compliance for product areas.

You will develop and hold an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft.

You will demonstrate and maintain an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are met.

XML job scraping automation by YubHub

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.

• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.

• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.

• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.

• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.

• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.

• Experience with orchestration platforms, such as Temporal and AWS Step Functions.

• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

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

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

XML job scraping automation by YubHub

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights.

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates.
• Drive cross-functional alignment on go-to-market execution.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

Requirements:

• 8-10+ years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Business-level Japanese required; English proficiency strongly preferred

Preferred Qualifications:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

XML job scraping automation by YubHub

You will serve as a strategic partner, shaping how we win in Australia and New Zealand while building the operational foundations to scale , and contributing to the broader APJ regional strategy.

You'll start as an individual contributor with the opportunity to build and lead a team over time as the business scales. From day one, you'll work closely with S&O counterparts across Japan, South Korea, Singapore, India, and the wider APJ region to share best practices and drive consistency across the region.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process for Australia/NZ, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts across ANZ, with an eye to how it fits into the broader APJ portfolio.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities , both within ANZ and in coordination with adjacent APJ markets.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights, and benchmark against other APJ markets where useful.

Cross-Functional & Regional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Partner with S&O leaders across APJ (Japan, South Korea, Singapore, India, ASEAN) to align on regional standards, share insights, and drive consistency in how we operate across the region.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates for ANZ and APJ leadership.
• Drive cross-functional alignment on go-to-market execution across ANZ and contribute to APJ-wide initiatives.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

You may be a good fit if you have:

• 15 to 18 years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Demonstrated knowledge of the broader APJ region, with exposure to GTM dynamics across multiple APJ markets (e.g., ANZ, Japan, South Korea, Singapore, India, ASEAN)
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Based in Australia with working proficiency in English

Strong candidates may also have:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Prior people management experience, or readiness to build and lead a team as the function scales
• Experience working across multiple APJ markets or coordinating regionally distributed S&O work
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

XML job scraping automation by YubHub

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Partner Enablement team at Okta is responsible for equipping our Field Team and Partners with the knowledge, tools, and resources needed to succeed. We create, deliver, and manage training programs that drive understanding and adoption of Okta’s innovative identity and access management solutions. Our mission is to empower every learner to maximise the value of Okta’s platform and services.

The Service Delivery Trainer Opportunity

Reporting to the Manager, GSI Enablement, this role will develop and deliver training programs to ensure seamless deployment and adoption of Okta solutions. The Service Delivery Trainer will leverage their technical enablement and deployment experience to provide our customers and partners with best-in-class training, enabling them to deploy Okta successfully.

What You’ll Be Doing

• Delivering technical training sessions to GSI partners focused on deploying and managing Okta solutions.
• Designing, developing, and maintaining training materials, including presentations, hands-on labs, and virtual learning modules.
• Collaborating with cross-functional teams to ensure training aligns with product updates and best practices.
• Partnering with deployment teams to understand challenges and create targeted training programs to address skill gaps.
• Gathering feedback from learners to continuously improve training effectiveness and content quality.
• Managing logistics for training sessions, including scheduling, registration, and follow-up communications.

What You’ll Bring to the Role & What We’re Looking For

• 5+ years of experience in technical enablement or training, preferably with a focus on SaaS or identity solutions.
• Hands-on experience deploying Okta or similar identity management solutions.
• Proven ability to design and deliver engaging, technically complex training programs to diverse audiences.
• Excellent communication and presentation skills with a knack for making technical topics accessible.
• Strong collaboration skills and the ability to work across multiple teams and functions.
• Familiarity with instructional design principles and adult learning methodologies.

Additional Experience That We Value

• Okta certifications (e.g., Okta Certified Administrator, Okta Certified Professional).
• Experience with deployment tools and methodologies.
• Proficiency with virtual training platforms and e-learning development tools.
• Background in managing customer or partner onboarding programs.
• Experience working with global teams and scaling training programs internationally.

#LI-Hybrid

#P22580

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

XML job scraping automation by YubHub

You will work hand-in-hand with the Head of Community to craft and build the community function from scratch. You'll bring creative ideas, help define structure and best practices, and co-create a vision for what a high-impact, high-delight global community looks like at Duolingo.

At the same time, you will own and lead the day-to-day engagement across our community channels. You'll be the front line of how we show up with learners, moderators, superfans, and ambassadors , cultivating joy, trust, safety, and belonging through every interaction.

You'll partner closely with Product, Engineering, Marketing, Communications, and Customer Support to bring the community's voice into the heart of the organization.

Key responsibilities include:

• Managing our core community channels (e.g., Reddit, Discord) and driving daily engagement, conversation quality, and member experience
• Building and maintaining strong relationships with moderators, ambassadors, and superfans
• Developing scalable processes, playbooks, and frameworks that uphold safety, trust, delight, and Duolingo's signature tone
• Monitoring community health, sentiment, and emerging risks, identifying insights and opportunities for continuous improvement
• Launching initiatives that grow participation, sentiment, and long-term community value

We're looking for someone with 8+ years of experience in community management for a consumer-facing brand, ideally at scale. You should have proven experience growing and engaging online communities across multiple platforms (Reddit, Slack, Discord, etc.).

Exceptional candidates will have a track record of building community programs of 1M+ members, experience with shifting sentiment, scaling, and building advocates through community programs and tactics, and experience with international community management or scaling programs across cultures.

XML job scraping automation by YubHub

Developer Productivity & Tooling

• Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards

• Coordinate large-scale migrations and platform modernization efforts across engineering teams

• Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements

• Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering

Infrastructure Reliability & Operations

• Drive programs to establish and achieve reliability targets across training infrastructure and production services

• Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively

• Establish metrics and dashboards to track infrastructure health, capacity utilisation, and operational excellence

Cross-functional Coordination

• Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences

• Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development

• Drive alignment on priorities and timelines across teams with competing constraints

You'll be a good fit if you have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems. You'll also need a deep technical understanding of infrastructure systems, strong stakeholder management skills, and the ability to navigate competing priorities-confirming data-driven technical decisions.

XML job scraping automation by YubHub

As a Scaled Customer Success Manager, you'll be the customer's trusted guide,helping them adopt and embed Intercom's suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably.

If you're excited by working at the intersection of AI, product adoption, and operational excellence,and you want to help define how scaled CS works in practice,this is your role.

Key Responsibilities:

• Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support.

• Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments,leveraging technology, automation, digital content, and smart touchpoints.

• Own implementation and onboarding conversations for your customers, ensuring they are being set up for success from Day 1.

• Monitor usage & health signals proactively,identifying risks, opportunities, and expansion paths; drive intervention where needed.

• Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion.

• Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training.

• Help define what 'Scaled CS' means here: you'll be a builder,defining processes, tools, metrics, and models for what high volume, high value looks like.

What You'll Need:

• 2–4+ years in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement.

• Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them.

• Comfortable discussing technical topics such as APIs, integrations, and workflows,not an expert, but confident engaging with customers on technical questions and guiding them to resources.

• Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders).

• Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results.

• Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them.

• Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders.

Bonus Skills & Attributes:

• Interest in consumption or usage-based SaaS models.

• Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools.

• Experience in operations, scaling CS / onboarding / customer education / digital engagement programs.

Benefits:

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and meaningful equity

• Comprehensive medical, dental, and vision coverage

• Regular compensation reviews - great work is rewarded!

• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.

• Flexible paid time off policy

• Paid Parental Leave Program

• 401k plan & match

• In-office bicycle storage

• Fun events for Intercomrades, friends, and family!

XML job scraping automation by YubHub

The media landscape for developer tools doesn't look like it did five years ago. We need someone who understands both traditional press and the channels where developers form opinions. You might have come up through an in-house comms team, or you might have run launches inside product marketing, handled press from a DevRel role, or found your way to this work from somewhere adjacent.

You should be a Claude Code user yourself and know the product well.

Responsibilities:

• Own communications for Claude Code, from the big launches to the steady rhythm of updates, community moments, and everything in between
• Build and maintain strong relationships with journalists, newsletter writers, podcasters, and creators covering dev tools and the AI ecosystem
• Lead cross-functional product launch communications, coordinating messaging across comms, marketing, developer relations, and product
• Advise leadership and DevRel when things move fast or catch fire, whether it’s an incident or a community thread
• Translate complex technical work into stories that land with developers and still make sense to broader audiences
• Develop messaging frameworks and content strategies that work across technical and non-technical audiences
• Prepare Claude Code engineers and product leads for external moments: podcasts, talks, press, etc.
• Think across channels (press, social, community, owned) and know which lever to pull for each moment
• Pay attention to what's actually working and build the program from there

You may be a good fit if you:

• Have 8–12 years of experience in communications, PR, or developer marketing, with meaningful time focused on technical products or developer audiences
• Use Claude Code heavily and can talk specifically about how you use it in your day-to-day
• Are high-agency and low-ego, with a bias to action
• Write clearly and concisely, whether it's a launch post or a cross-functional update, a lot of context moves through this role and people need to be able to follow it
• Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage
• Are very online, follow the right people, know what's moving through Hacker News and developer social chatter, and catch things early
• Have real fluency in developer culture and know how trust gets earned there

Strong candidates may also

• Have experience at developer tools companies, infrastructure products, or open source projects
• Have an existing network in developer media, technical journalism, or the creator space
• Have experience managing communications for AI or ML products

The annual compensation range for this role is $185,000-$255,000 USD.

Logistics

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

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

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

How we're different

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

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

Come work with us!

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

XML job scraping automation by YubHub

You will drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. You'll collaborate with cross-functional teams to define, design, and deliver new features. You'll also proactively identify opportunities for, and drive improvements to, current programming practices, including process enhancements and tool upgrades.

Ideally, you'd have 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. You should have extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). You should show a track record of independent ownership of successful engineering projects. You should possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

You should have experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. You should have experience with orchestration platforms, such as Temporal and AWS Step Functions. You should have experience with NoSQL document databases (MongoDB) and structured databases (Postgres). You should have strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Nice to haves include experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) is also a plus. Experience scaling products at hyper-growth startups is highly valued. Excitement to work with AI technologies is a must.

XML job scraping automation by YubHub

You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

XML job scraping automation by YubHub

This role operates in a fast-paced environment where launch timelines move quickly and turnarounds are tight. You'll need to make sharp creative decisions without the luxury of extended development cycles, pivoting when priorities shift, moving from brief to execution with speed, and delivering high-quality work under real pressure.

You're someone who can walk into a room, understand what a launch needs to communicate, and build a video strategy around it , then execute it at the highest level. You lead crews with confidence, guide collaborators through ambiguity, and know how to get great work across the finish line even when the timeline is short.

Responsibilities:

Direct and oversee video production for model and product launches, from initial creative brief through final delivery, often on compressed timelines

Develop creative concepts, treatments, and narrative strategies that translate complex AI capabilities into compelling, human-centered stories

Lead and manage production crews on set, including DPs, camera operators, sound, lighting, and other crew members

Partner with marketing, product, and communications teams to align creative direction with launch goals and messaging

Guide post-production workflows, providing creative direction to editors, colorists, and sound designers

Identify the story worth telling within a launch, taking raw elements, context, and product details and crafting a cohesive narrative arc

Build and maintain scalable production processes that can flex to meet the pace of Anthropic's launch cadence

Stay current with video production trends, launch formats, and storytelling techniques in the technology and AI space

You may be a good fit if you:

Have 6+ years of professional video directing or production experience, with a portfolio that demonstrates your ability to lead high-impact launches or campaigns

Have experience directing at a SaaS or AI company, or have worked as part of an in-house creative team in a fast-paced technology environment

Are a skilled storyteller who can take disparate elements, such as product features, brand positioning, and customer impact, and shape them into a compelling narrative

Have proven experience leading production crews on set and are comfortable owning creative decisions under time and budget pressure

Thrive under tight turnarounds and can maintain creative quality when timelines are compressed

Understand the full filmmaking process, from pre-production through delivery, and can provide informed direction at every stage

Are an excellent communicator who can articulate creative vision clearly to both production teams and non-technical stakeholders

Are proactive and calm under pressure, bringing clarity to ambiguity and keeping productions moving even when priorities shift

Are excited about the challenge of making AI launches feel meaningful to a broad audience

Strong candidates may also have:

Hands-on experience as a director of photography or camera operator

Editing experience and comfort working directly in post-production

Experience directing launch videos, keynote content, or product announcement films

Background working with technical or complex subject matter and making it accessible on screen

Familiarity with motion graphics, animation, or mixed-media storytelling techniques

Knowledge of different delivery formats and platform requirements (web, social, events, broadcast)

Experience building or scaling a video production function from the ground up

The annual compensation range for this role is $200,000-$255,000 USD.

XML job scraping automation by YubHub

As the Sr. Manager of Engineering in our newly opened NYC engineering hub, you will work closely with product and research on cutting-edge technologies and be responsible for launching and growing new products, playing a key role in defining the future of how AI and data applications are built.

The Databricks AI Gateway is an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints on Databricks. AI Gateway lets you standardize, secure, and observe all LLM inference traffic on Databricks, while capturing detailed production data to manage cost, performance, and quality over time.

Key responsibilities include:

• Leading teams building multiple products that enable our customers to use innovative ML/AI techniques to add value to their business
• Working closely with product and research on cutting-edge technologies
• Being responsible for launching and growing new products
• Playing a key role in defining the future of how AI and data applications are built

Requirements include:

• 8+ years of industry experience building and supporting large-scale data or production applications
• Experience building classic ML or GenAI systems
• A passion for building and scaling early-stage products
• Ability to adapt in a fast-paced environment
• Motivated by delivering customer value and impact
• Experience driving company initiatives towards customer satisfaction
• BS/MS/PhD in Computer Science or related majors, or equivalent experience

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

XML job scraping automation by YubHub

Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities:

• Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs
• Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities
• Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency
• Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are:

We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory , you've built things that changed how real work gets done. You can build in real time alongside the people you support.
• You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Stripe.
• You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements:

• 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)
• Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you've helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting ~20 marketers at varying stages of their AI journey)

XML job scraping automation by YubHub

Key Responsibilities:

• Lead and mentor engineers, fostering a culture of collaboration and continuous improvement.
• Scale logging, tracing, and metrics platforms to support a global datacenter footprint.
• Develop and refine monitoring and alerting to enhance system reliability.
• Advise engineers across CoreWeave on optimal usage of Observability systems.
• Automate interactions with CoreWeave's Compute Infrastructure layer.
• Manage production clusters and ensure development teams follow best practices for deployments.

Required Qualifications:

• 7+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or a related field.
• Deep expertise across all observability pillars using tools like ClickHouse, Elastic, Loki, Victoria Metrics, Prometheus, Thanos and/or Grafana.
• Expertise in Kubernetes, containerization, and microservices architectures.
• Proven track record of leading incident management and post-mortem analysis.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Experience running and scaling observability tools as a cloud provider.
• Experience administering large-scale kubernetes clusters.
• Deep understanding of data-streaming systems.

The base salary range for this role is $188,000 to $250,000.

XML job scraping automation by YubHub

You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards.

Responsibilities:

Team Leadership & Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth.

Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic's GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.

Partner Enablement & Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership.

Joint Solution Development: Lead partners in identifying high-value, industry-specific GenAI applications. Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment.

Customer Deal Support: Own the technical portion of partner-led pre-sales engagements. Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.

Product Feedback: Gather and validate feedback on Anthropic's products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.

You may be a good fit if you have:

7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM).

3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments.

Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure).

Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions.

Technical depth in enterprise AI deployments: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases.

Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike.

A love of teaching and mentoring, and a passion for advancing safe, beneficial AI.

Strong candidates may also have:

5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent.

Direct experience helping GSIs or consultancies build their AI/ML practice - enablement programs, certification paths, joint solution development.

The annual compensation range for this role is $315,000-$380,000 USD.

XML job scraping automation by YubHub

You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

XML job scraping automation by YubHub

Key responsibilities include defining and executing the developer relations strategy, producing high-impact content, owning and improving the developer onboarding experience, building and engaging the developer community, and establishing a strong feedback loop.

The ideal candidate has 10+ years of experience, strong analytical skills, and the ability to lead a team of developer advocates and evangelists. They should have deep domain expertise in AI/ML platforms and tooling, proven track record of building, scaling, and activating developer communities, and exceptional technical storytelling skills.

The base salary range for this role is $165,000 to $242,000, and the company offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, and flexible PTO.

XML job scraping automation by YubHub

As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research

• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem

• Build and scale database systems through 100x+ growth while maintaining reliability and performance

• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments

• Develop database infrastructure that serves both product and research workloads with different performance characteristics

• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation

• Optimize database performance, reliability, and cost efficiency at massive scale

• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years of experience in a Software Engineer role, building and scaling database systems

• Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead

• Possess deep expertise in distributed database architectures and OLTP systems at scale

• Have successfully scaled databases through massive growth at high-growth companies

• Can balance the speed of a startup environment with the reliability needs of production systems

• Excel at technical leadership and cross-functional collaboration

• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems

• Experience with Redis, Temporal, vector databases, or async job processing frameworks

• Experience building multi-cloud or hybrid cloud database solutions

• Knowledge of database orchestration and automation at scale

• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

XML job scraping automation by YubHub

You'll serve as the Sr. Marketing Manager for the Japan business, partnering closely with Sales leadership to localize and execute go-to-market strategies that accelerate growth in the region. This role reports to the RVP, Japan Sales and works in close alignment with Global Marketing leadership.

Key responsibilities include:

• Owning and executing the Japan marketing strategy, aligned with global priorities and localized for the Japanese market.
• Driving pipeline and revenue growth through a balanced mix of demand generation, brand, lifecycle, and field marketing initiatives.
• Leading the strategy and execution of onsite events, such as executive roundtables and large-scale conferences for 300+ attendees.
• Driving competitive market intelligence by performing deep-dive analyses against key players in the industry.
• Overseeing the planning, execution, and optimization of all customer acquisition campaigns across digital and offline channels, including SEM, Paid Social, Display, Online Video, CTV, Audio, Events, and Partnerships.

You'll partner with Global Marketing to localize paid acquisition strategies, messaging, and creative for Japan. You'll also build and scale Affiliate, CPL, and review site programs, ensuring strong performance and compliance with local market norms.

Collaboration with Sales and Marketing Operations is key to designing and executing ABM programs targeting strategic accounts. You'll also partner with Global Web and SEO teams to manage Japan domains and optimize localized SEO and content strategies.

Local brand-building efforts, including messaging, positioning, PR, and market awareness initiatives, are also part of your responsibilities. You'll work cross-functionally with Product Marketing, Content, Creative, and Revenue teams to test messaging, refine positioning, and strengthen Dialpad's presence in Japan.

You'll own the Japan marketing budget, ensuring efficient allocation of spend to maximize ROI, pipeline contribution, and revenue impact. You'll set clear objectives, KPIs, and forecasts across channels; regularly report on performance and business impact to regional and global stakeholders.

Finally, you'll manage external agencies, vendors, and partners as needed to support growth goals. Building, mentoring, and developing a high-performing local marketing team as the business scales is also a key responsibility.

XML job scraping automation by YubHub

CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.

Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.

Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

About the Role

As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave's orchestration platform including SUNK (Slurm on Kubernetes) and beyond, our Kubernetes-native foundation that powers AI training and inference at scale.

This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters.

By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what's possible with AI.

What You'll Do

As a Staff Engineer, you will be a technical leader shaping the long-term strategy for CoreWeave's orchestration platform.

You'll define architectural direction, own critical parts of the orchestration platform and other managed services, and drive cross-org initiatives in scheduling, quota enforcement, and scaling at hyperscale.

You'll mentor senior engineers, establish org-wide best practices in reliability and observability, and ensure CoreWeave's orchestration layer evolves to meet the demands of next-generation AI workloads.

Who You Are

• 8+ years of software engineering experience.

• Proven track record designing and operating large-scale distributed systems in production.

• Deep expertise in Slurm/Kubernetes internals and cloud-native development.

• Advanced proficiency in Go and distributed systems design and cloud-native development.

• Experience setting technical direction and influencing cross-team architecture.

• Bachelor's or Master's degree in CS, EE, or related field.

Preferred

• Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows

• Deep expertise in Slurm/Kubernetes internals.

• Experience with distributed workloads, GPU-based applications, or ML pipelines.

• Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies.

• Exposure to reliability practices including SLOs, alarms, and post-incident reviews.

• Experience with AI infrastructure and workloads (ML training, inference, or HPC).

• Ability to mentor senior engineers and elevate organizational standards.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on.

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

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking.

We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

As we get set for take off, the growth opportunities within the organization are constantly expanding.

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

Come join us!

Salary and Benefits

The base salary range for this role is $185,000 to $275,000.

The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

We strive for both market alignment and internal equity when determining compensation.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role.

To determine actual compensation, we review the market rate for each candidate which can include a variety of factors.

These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

XML job scraping automation by YubHub

You will join Carta's Tax team as a US Federal tax preparer and reviewer, leveraging Carta's proprietary tax engine to file tax returns for our clients.

The Team

You will be collaborating with our wider Carta accounting, fund administration and compliance teams on relevant tax issues that relate to Carta's products and services.

The Problems You'll Solve

• Turning professional services into products is challenging: how do you productize workflows so that we can deliver the fastest tax solutions with perfect accuracy?
• We are at the intersection of finance, tax and technology: how do we build a tax engine that will make tax filings feel as simple as ordering a book online?
• We automate investment structures in venture capital: how can you help scale post-deal processes so that each container is as seamless and fun to use as the last one created?

About You

Must have US Federal tax experience for the preparation and filing of tax returns and IRS e-filings, focusing on partnership tax returns. You are a fully qualified CPA (or eligible to sit for CPA exam) who understands the intricacies of US tax filings relating to investment vehicles, and have a burning desire to see it automated and simplified.

Requirements

• High attention to detail: written and quantitative.
• Organized and calm under pressure, you are able to manage competing demands on your time, whilst persevering to solve ambiguous problems.
• Passionate and knowledgeable about venture capital: you intimately understand the pressures facing our clients and are ready to roll up your sleeves in a fast-paced environment

Benefits

Carta's compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans.

XML job scraping automation by YubHub

You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Responsibilities:

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.
• Build and lead a regional team supporting EMEA customers, both inbound and outbound.
• Design and execute innovative sales strategies tailored to diverse EMEA contexts.
• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments.
• Develop and maintain relationships with key EMEA ecosystem players.
• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.
• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.

You May Be a Good Fit If You Have:

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.
• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions.
• Experience building and scaling sales teams.
• Deep understanding of nonprofit or education sector operations.
• Demonstrated ability to navigate diverse stakeholder ecosystems.
• Scrappy mentality.
• Proven experience exceeding revenue targets.
• Excellent communication skills.
• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

Strong Candidates May Also Have:

• Active involvement in the EMEA nonprofit or education community.
• Existing relationships with major INGOs, foundations, or educational institutions.
• Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.
• Track record of building strategic partnerships with foundations or philanthropic advisors.
• Experience presenting at nonprofit conferences or education forums.
• Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

Logistics:

• Location: London.
• Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.
• Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.
• Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

The annual compensation range for this role is €1-€1 EUR.

XML job scraping automation by YubHub

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

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

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

XML job scraping automation by YubHub

As a Staff Product Manager, Networking, you will own the strategy and roadmap for CoreWeave's advanced networking product portfolio. On a day-to-day basis, you will translate market insights, customer needs, and technical constraints into clear product requirements and execution plans. You will work closely with cross-functional partners to launch new products and evolve existing offerings, ensuring they meet CoreWeave's high standards for performance, scalability, and reliability.

This is a highly visible role with significant influence over the future of CoreWeave's networking platform.

CoreWeave is a rapidly growing company that prioritizes innovation and disruption. We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams.

If you love defining product strategy in technically complex, fast-evolving domains, are curious about emerging networking technologies, and are an expert at turning market insights and customer needs into scalable, high-impact products, then we'd love to talk.

At CoreWeave, we work hard, have fun, and move fast. We're in an exciting stage of hyper-growth that you will not want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is reflected in our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

XML job scraping automation by YubHub

Our team empowers engineers to understand, troubleshoot, and optimize high-performance infrastructure at massive scale.

As a Senior Software Engineer on the Observability team, you will design, build, and maintain core observability infrastructure spanning metrics, logging, tracing, and telemetry pipelines.

Your day-to-day will involve developing highly reliable and scalable systems, collaborating with internal engineering teams to embed observability best practices, and tackling performance and reliability challenges across clusters of thousands of GPUs.

You'll also contribute to platform strategy and participate in on-call rotations to ensure critical production systems remain robust and operational.

The base salary range for this role is $139,000 to $220,000.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

We offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid Life Insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible Spending Account, Health Savings Account, tuition reimbursement, ability to participate in Employee Stock Purchase Program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, a casual work environment, and a work culture focused on innovative disruption.

XML job scraping automation by YubHub

You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

We are looking for an experienced Principal Engineer to join our team. As a Principal Engineer, you will be responsible for owning and driving technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

XML job scraping automation by YubHub

We are seeking an experienced Technical Partner Manager to lead technical partner engagements within our Global Partner Engineering & Operations (PE&O) team. In this role, you will own relationships with Stripe's AMER bank partners, overseeing partner technical integrations and performance.

Responsibilities

• Serve as the primary technical and operational contact for key financial partners, fostering and maintaining strategic relationships and technical collaboration.
• Work with internal Engineering, Product, and Partner Management teams and external partners to define and deliver technical onboarding and integrations, ensuring performance SLAs are met.
• Define, implement, and monitor partner health and performance metrics to meet and exceed partner expectations.
• Collaborate with Product, Engineering, and Partnerships to drive reliability and product efficiency; lead alignment for the Global Banks pillar's technical and operational needs.
• Oversee and scale incident response processes, coordinate RCA (root cause analysis), and drive prevention and remediation plans.
• Analyze operational data to identify trends and recommend improvements that streamline partner operations and enhance the Stripe experience.
• Build and manage relationships with Bank partner senior technology/operations counterparts; facilitate engagement between Stripe leadership and partner stakeholders.

Requirements

• 5+ years of experience in technical partner/account management, operations, or strategic project management within payments or fintech; direct experience working with bank partners preferred.
• Experience in banking, e-commerce, or payments, with a solid understanding of payment technologies and platform-to-partner integrations.
• Strong technical judgment: ability to assess critical aspects of service and software integrations and apply best practices for operational efficiency.
• Proven track record managing medium- to large-scale technical projects with external partners and internal stakeholders.
• Strong analytical and problem-solving skills; able to use data to drive decisions.
• Excellent written and verbal communication skills; comfortable engaging with diverse internal and external audiences (business development, product, engineering, operations).
• Flexibility to be on-call during seasonal peaks and provide staggered time-zone coverage in a global, live service environment.
• Willingness to travel (~30%) for partner visits and business/service reviews.

Preferred Qualifications

• Bachelor's degree in Computer Science, Business Administration, Operations Management, or a related field; Master's degree or MBA preferred.
• Working proficiency with databases and SQL for partner-facing data analysis.
• A user-first mindset and strong sense of urgency to scale products and operations through partnerships.

XML job scraping automation by YubHub

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

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

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

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

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

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

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

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

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

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

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

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

XML job scraping automation by YubHub

As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research
• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
• Build and scale database systems through 100x+ growth while maintaining reliability and performance
• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
• Develop database infrastructure that serves both product and research workloads with different performance characteristics
• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation
• Optimize database performance, reliability, and cost efficiency at massive scale
• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years of experience in a Software Engineer role, building and scaling database systems
• Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead
• Possess deep expertise in distributed database architectures and OLTP systems at scale
• Have successfully scaled databases through massive growth at high-growth companies
• Can balance the speed of a startup environment with the reliability needs of production systems
• Excel at technical leadership and cross-functional collaboration
• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
• Experience with Redis, Temporal, vector databases, or async job processing frameworks
• Experience building multi-cloud or hybrid cloud database solutions
• Knowledge of database orchestration and automation at scale
• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

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.

XML job scraping automation by YubHub

This role is designed for a strong operator who will help scale our domestic, civilian, and commercial deployments. Operating CUAS capabilities inside the United States requires a combination of technical rigor, operational excellence, and regulatory awareness. Our systems must integrate seamlessly with civilian airspace operations while meeting federal, state, and local legal authorities governing counter-drone activity.

Our customers depend on precise execution, regulatory compliance, and professional fielding in environments where safety, legal authority, and public trust are paramount. This role is responsible for driving program execution to protect critical infrastructure, government facilities, and commercial sites.

You will serve as the operational expert for domestic Air Defense deployments,ensuring systems, personnel, training, documentation, and regulatory requirements are aligned for mission success. You will build repeatable deployment processes, manage cross-functional coordination, and serve as the connective tissue between technical teams and customers.

You will operate at the intersection of technology development, operational deployment, and customer engagement - serving as a key integrator across teams and ensuring the program executes effectively and efficiently at scale. You will directly support program cost, schedule, risk management, executive reporting, and strategic execution.

This role is ideal for an operator who thrives in ambiguity, is comfortable in front of customers and executives, wants to scale at speed, and build long-term sustainable operations.

Program Execution - Develop and maintain program execution frameworks, milestones, and reporting structures to ensure alignment across technical and operational teams - Drive program coordination across engineering, product, growth, compliance, and supply chain - Develop executive-level reporting, dashboards, and briefings to communicate program health and progress to leadership - Identify program risks early and drive mitigation strategies across technical and operational stakeholders - Ensure program execution aligns with applicable federal, state, and local regulatory frameworks governing domestics CUAS operations - Coordinate with regulatory and policy stakeholders to support deployments operating within FAA, DHS, and other relevant authorities - Serve as subject matter expert to ensure operational concepts and deployment strategies reflect real-world legal and regulatory constraints as well as operational realities

Deployment Planning - Oversee planning and coordination of CUAS deployments , from planning and logistics through on-site activation to long-term sustainment - Develop structured deployment plans, readiness gates, and operational checklists to ensure repeatable execution - Coordinate cross-functional teams to deliver mission-ready capabilities to customer sites - Lead after-action reviews and capture lessons learned to continuously improve deployment velocity and quality

Stakeholder Engagement - Serve as senior program representative during key deployments and operational activities - Ensure clear, proactive communication across internal stakeholders and external customers - Drive stakeholder alignment across technical, operational, and regulatory teams to ensure program decisions are made quickly, transparently, and in support of mission success - Ensure coordination between program leadership, field operations, and customer stakeholders to maintain readiness and program credibility

Required Qualifications - 6+ years of experience in deployment operations, defense programs, aerospace systems, logistics, or technical project management - Demonstrated experience managing complex, cross-functional programs involving hardware and software systems in high-stakes or regulated environments - Experience working with domestic government entities, critical infrastructure operators, or regulated commercial customers - Strong operational rigor,ability to build structured plans, manage concurrent workstreams, and execute against tight timelines - Proven ability to cut through ambiguity and drive cross-functional alignment without formal authority - Exceptional written and verbal communication skills; comfortable briefing senior leadership and customer executives - Willingness to travel up to 30% as program and deployment needs require - Eligible to obtain and maintain a security clearance

Preferred Qualifications - Familiarity with the domestic CUAS operating environment with direct experience work on sensor networks, autonomy, or ISR platforms - Knowledge of FAA coordination, regulatory compliance, and operational integration within civilian infrastructure - Prior experience in a Deputy Program Manager, Program Analyst, or Technical Program Management role - Familiarity with domestic airspace regulations, FAA coordination, or CUAS legal frameworks - Background in DoD, DHS, or critical infrastructure protection programs - Experience scaling operations from early-stage deployments to sustained production and fielding - MBA or advanced degree in Business, Public Policy, Engineering, or a related technical discipline

XML job scraping automation by YubHub

In fact, you'll be building the very foundation that the rest of our developer platform,from Pages to R2,is built upon. You will tackle the complex challenges of distributed systems and high-traffic APIs every single day. Your mission? To build and scale the platform that lets customers upload, configure, and manage their Workers, ensuring it's incredibly fast, extremely resilient, and scales effortlessly.

You’ll drive projects from the initial idea to global release, delivering solutions at every layer of the stack. You’ll get to master a diverse and modern tech stack, writing high-performance Go, architecting APIs, optimizing storage interactions, building Workers with JavaScript/TypeScript, and managing it all on Kubernetes.

We're looking for engineers who are obsessed with the developer experience and thrive on solving large-scale problems with a track record to prove it. If you care as much about the quality of the user's experience as you do about the quality of your code, and you want to join a high-impact, fast-growing team helping to build a better Internet, we want to talk to you.

This role is about solving some of the most challenging problems in large scale, distributed systems. You'll be making a massive, direct impact on the broader developer community. Build & Architect for Massive Scale - Own the core architecture of the Workers control plane, the system that deploys and configures millions of applications globally.

Proactively identify and eliminate performance bottlenecks, re-architecting critical services to handle exponential growth. Design and implement resilient database schemas and read/write patterns built to support exponential platform growth and long-term usage.

Evolve our services into a true developer platform, building the foundational capabilities that unlock future products.

Drive for Extreme Performance & Reliability - Obsess over the developer experience, with a relentless focus on reducing API latency and increasing API availability.

Own the reliability of one of Cloudflare’s most critical, customer-facing systems. Take pride in production ownership by participating in an on-call rotation to ensure our platform is always on.

Lead, Collaborate, & Innovate - Partner directly with Product Managers and customers to translate complex problems into simple, elegant, and scalable solutions.

Lead technical design from the ground up, collaborating with a brilliant, globally-distributed team of engineers.

Act as a mentor and knowledge-sharer, leveling up the entire team.

Constantly research, prototype, and introduce cutting-edge technologies to solve new classes of problems.

XML job scraping automation by YubHub

You will work across the full infrastructure stack, from cloud platforms and networking to application-level performance, and will bridge the gap between high-level research needs and low-level hardware constraints to build the most efficient AI infrastructure in the world. You will help with building the telemetry, cost attribution, and optimization frameworks that ensure every dollar of our infrastructure investment delivers maximum value.

Responsibilities:

• Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets.

• Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimize their resource consumption.

• Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.

• Partner closely with cloud service providers and internal stakeholders to optimize cluster configurations, workload placement, and resource utilization across AI training and inference workloads,including large-scale clusters spanning thousands to hundreds of thousands of machines.

• Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic.

• Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.

• Drive architectural improvements and code-level optimizations across multiple services and platforms to deliver measurable utilization and performance gains.

You may be a good fit if you:

• Have 6+ years of relevant industry experience, 1+ year leading large scale, complex projects or teams as a software engineer or tech lead

• Deep expertise in distributed systems at scale, with a strong focus on infrastructure reliability, scalability, and continuous improvement.

• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)

• Hands-on experience with cloud infrastructure, including Kubernetes, Infrastructure as Code, and major cloud providers such as AWS or GCP.

• Experience optimizing end-to-end performance of distributed systems, including workload right-sizing and resource utilization tuning.

• You possess a deep curiosity for how things work under the hood and have a proven ability to work independently to solve opaque performance issues

• Experience designing or working with performance and utilization monitoring tools in large-scale, distributed environments.

• Strong problem-solving skills with the ability to work independently and navigate ambiguity.

• Excellent communication and collaboration skills,you will work closely with internal and external stakeholders to build consensus and drive projects forward.

Strong candidates may have:

• Experience with machine learning infrastructure workloads as well as associated networking technologies like NCCL.

• Low level systems experience, for example linux kernel tuning and eBPF

• Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

• Published work in performance optimization and scaling distributed systems

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

XML job scraping automation by YubHub

Responsibilities: Assess model outputs for factual accuracy, logical coherence, fallacious reasoning, and hidden assumptions. Identify subtle ideological capture, statistical fallacies, and rhetorical sleights of hand. Write exemplary reasoning that models intellectual honesty, source evaluation, nuanced weighing of primary and secondary sources, and scoping of confidence. Construct adversarial examples and red-team prompts to expose remaining epistemic weaknesses. Contribute to the definition and scaling of constitutional principles for truth-seeking behavior.

Basic Qualifications: Published analytical work and academic training in a high-rigor field. Strong Forecasting track record (e.g., Metaculus, Good Judgment), rigorous analysis, or public updating on errors. Deep knowledge in at least three of: philosophy of science, cognitive psychology, statistics, logic, linguistics, history, economics, or related disciplines. Ability to steel-man opposing views and separate settled knowledge from speculation. Habitual reliance on primary sources and base rates.

Preferred Skills and Experience: Experience in intelligence analysis, investigative journalism, or academic peer review.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

Your responsibilities will include:

• Building, mentoring, and leading a high-performing team of Electrical Manufacturing Engineers and Specialists
• Leveraging expertise in New Product Introduction (NPI) to seamlessly transition PCBA, harnessing, and integration from prototype to high-volume production
• Being a strong partner with Product Quality Engineering to drive and support RCCA burndowns that tackle key issues both internally and externally to EW Production
• Collaborating with Design Engineering teams early in the development process to feedback Design For Manufacturability
• Defining workflows with cross-functional teams for effective collaboration

You will be responsible for owning a portion or all of the manufacturing value chain for a certain product or set of products. This includes developing process flows, breaking down large, complex assemblies into a logical part flow of subassemblies and sub-processes.

In addition, you will contribute to end-customer hardware mechanical or electrical design, including interconnects, board fabrication and inspection, etc.

As a Lead Manufacturing Engineer, you will have a degree in a technical field, such as engineering, math, or a hard science, and 8+ years of experience in a relevant field, preferably manufacturing or design of avionics or electrical systems.

You will have demonstrated ability to creatively deliver avionics hardware in a resource-constrained environment, and have in-kind or direct team leadership skills, with backing examples.

You will also have an attitude of world-class mission assurance, quality, attention to detail, and dedication, and a genuine interest in manufacturing and thirst for learning.

Preferred qualifications include experience with Avionics or Propulsion Products that require system AI&T (assembly, integration, and test), hands-on experience with software & firmware flashing or end-of-line testing & troubleshooting, and demonstrated success in scaling product testing and production from tens/hundreds to hundreds/thousands.

The salary range for this role is $146,000-$194,000 USD.

XML job scraping automation by YubHub

As a Software Engineer focused on Solutions, you'll work directly with our most strategic customers to help them design scalable systems, optimize performance, and push the boundaries of what’s possible in blockchain infrastructure.

You’ll write code to help users unlock the full potential of our stack, help top-tier teams design, scale, and optimize their use of Alchemy’s infrastructure, and deeply understand customer goals and proactively help them onboard, integrate, and ship powerful products on top of our infrastructure.

You’ll be the voice of our developer community, translating their needs into product insights and roadmap priorities, and act as the technical point of contact for strategic accounts, navigating technical blockers, future planning, and success metrics.

We’re looking for a stellar communicator who can translate technical concepts for both builders and execs, with a strong foundation in systems design, APIs, and distributed architecture, and experience working directly with customers, ideally in B2B SaaS or infra.

This role operates at the intersection of product, engineering, and real-world adoption, shaping how top-tier crypto companies bring products to life, and defining the customer experience for Web3’s infrastructure layer.

Benefits and perks include medical, dental, and vision coverage, gym reimbursement, home office build-out budget, in-office group meals, wellbeing and mental health perks, learning and development stipend, company-sponsored conferences and events, HSA and FSA plans, and fertility benefits.

XML job scraping automation by YubHub

Artificial intelligence will be one humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

The Role

As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users' ideas.

In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product. You will deploy capabilities that drive daily usage of the product.

To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind's Gen AI unit into the product.

Your core responsibilities will include:

• Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.

• Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.

• Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.

• Drive the integration of GenAI model capabilities into Gemini App products.

• Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.

• Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.

• Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.

• Ensure the scalability, reliability, and performance of Create-related features.

Candidate Qualifications

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.

• 15 years of experience in software engineering, building and working with systems in the technology organization.

• 7 years of experience managing teams of software engineers and managers of software engineers.

In addition, the following would be an advantage:

• Master's or PhD degree in Computer Science, or a related technical field.

• Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.

• Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.

Salary

The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

Benefits

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

XML job scraping automation by YubHub

The successful candidate will participate in operations and scaling of relational data platforms, develop a stream processing architecture, and improve the performance, security, reliability, and scalability of our data platforms and related services. They will also establish guidelines, guardrails for data access and storage for stakeholder teams, and ensure compliance with standards for data protection regulation.

In addition to technical skills, the ideal candidate will be able to grow, change, invest in their teammates, be invested-in, share their ideas, listen to others, be curious, have fun, and be themselves. CoreWeave values diversity and inclusion, and encourages candidates from all backgrounds to apply.

Key responsibilities:

• Design and implement the platform to deliver data to teams with a focus on providing managed solutions through APIs

• Participate in operations and scaling of relational data platforms

• Develop a stream processing architecture

• Improve the performance, security, reliability, and scalability of our data platforms and related services

• Establish guidelines, guardrails for data access and storage for stakeholder teams

• Ensure compliance with standards for data protection regulation

• Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and be yourself

Requirements:

• 5+ years of experience in a software or infrastructure engineering industry

• Experience operating services in production and at scale

• Familiarity with one of the distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka

• Experience with designing and operating these systems at scale

• Familiarity with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration

• Proficiency in Go/Python/Java and interested in contributing to open source

ExperienceLevel: senior

XML job scraping automation by YubHub

About the role

We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.

Responsibilities:

• Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
• Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
• Architect solutions for storing and efficiently querying large volumes of security-relevant data
• Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
• Work closely with security and infrastructure teams to understand requirements and deliver solutions
• Mentor engineers and contribute to hiring and growth of the Security team
• Participate in on-call shifts

You may be a good fit if you:

• 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
• Track record of building and maintaining internal developer tools or security platforms
• Strong understanding of data processing pipelines and experience working with large-scale logging systems

Strong candidates may also have experience with:

• Experience building security tooling from the ground up
• Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
• Background in detection engineering or security operations
• SOAR platform/automation development
• Data lake / Database architecture
• API design and internal platform creation
• Track record of applying ML/AI to security problems
• Experience scaling security operations in a high-growth environment

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.

XML job scraping automation by YubHub

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

To succeed on this team you will need to be curious, an excellent communicator, of a strong product mindset, be able to go from idea to implementation, and take ownership and pride in your work.

Propose, prototype, and deploy LLM-based agentic systems that help solve real-world problems, leveraging the latest state-of-the-art techniques in the field.

Work cross-functionally with different business lines across Anduril to help discover and scope new solutions.

Develop and maintain data pipelines, feature engineering workflows, and model-serving components that support applied AI use cases across the yard.

Learn and evangelize. You will be an expert on current AI technologies and trends (and their practical applications).

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

XML job scraping automation by YubHub

We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks' products and infrastructure.

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.

Responsibilities

Security & Privacy Governance Architecture

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

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

Incident Learning & Prevention

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

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

Security Champions & Distributed Expertise

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

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

Data Governance for Products & AI

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

• Define and enforce policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

Developer-Centric Security Enablement

• Transform security into a key enabler for engineering velocity.

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

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

Security Maturity & Customer Trust

• Identify and elevate 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

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

Requirements

• 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.

Preferred Qualifications

• 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.

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 utilising 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.

Local Pay Range $243,100-$290,100 USD

XML job scraping automation by YubHub

Financial services and insurance organisations are among the earliest adopters of enterprise AI, and this role sits at the intersection of deep industry expertise and Anthropic's mission to build safe, reliable AI systems that deliver real business value.

You'll be responsible for developing and executing industry campaigns, ABM, and targeted marketing programs that drive awareness, pipeline, and adoption of Claude and Anthropic's API among financial institutions, insurers, and related firms.

This means deeply understanding the unique challenges, regulatory landscape, and decision-making dynamics of this segment , and translating that understanding into campaigns, content, and experiences that resonate with technical and business stakeholders alike.

This is an ideal opportunity for someone who thrives at the intersection of strategic thinking and hands-on execution, and who is energised by the challenge of bringing frontier AI technology to an industry where trust, compliance, and reliability are non-negotiable.

Responsibilities:

• Develop and own the marketing strategy for the Financial Services & Insurance segment, including positioning, messaging, campaign planning, and go-to-market coordination in close partnership with Sales

• Create and execute integrated marketing programs , spanning digital, content, events, and partner channels , designed to generate pipeline and accelerate the sales cycle for enterprise prospects in this vertical

• Build a deep understanding of the competitive landscape, buyer personas, and AI adoption patterns specific to financial services and insurance, and translate those insights into actionable marketing strategies

• Develop segment-specific content including case studies, solution guides, thought leadership pieces, and enablement materials that speak to the priorities and pain points of this industry

• Collaborate cross-functionally with product, sales, communications, design, and research teams to ensure marketing efforts are aligned with product capabilities and business objectives

• Design and implement ABM campaigns for top strategic accounts

• Manage relationships with industry analysts, event organisers, and strategic partners to expand Anthropic's reach and credibility within the segment

• Define and track key performance metrics for segment marketing programs, using data to continuously optimise campaigns and report on impact to leadership

• Stay current with regulatory developments, industry trends, and evolving AI adoption dynamics in financial services to inform marketing positioning and content strategy

You may be a good fit if you:

• Have 7+ years of experience in B2B marketing, with a focus on enterprise technology or SaaS, and demonstrated expertise in one or more verticals within financial services or insurance

• Have a strong track record of developing and executing integrated marketing programs that have measurably driven pipeline and revenue in complex, enterprise sales cycles

• Understand the decision-making dynamics, regulatory considerations, and technology evaluation processes that are common in financial services organisations

• Are skilled at translating complex technical capabilities into compelling, audience-specific narratives , particularly for both technical and business stakeholders

• Have experience collaborating closely with enterprise sales teams to align marketing strategy with deal-stage needs and pipeline goals

• Are comfortable with ambiguity and can balance long-term strategic planning with rapid, tactical execution in a fast-moving environment

• Are a strong communicator who can present clearly to leadership, cross-functional partners, and external audiences

• Care about ensuring that AI systems are developed safely and responsibly, and are excited about communicating that story to a sophisticated audience

Strong candidates may also have:

• Experience marketing AI or machine learning products to regulated industries

• Familiarity with the specific compliance and risk management frameworks relevant to financial services (e.g., SOC 2, SOX, banking regulations)

• Background in analyst relations or thought leadership programmes within the financial services technology space

• Experience working at a high-growth technology company navigating rapid expansion into new verticals

• A track record of building segment marketing functions from the ground up or scaling them in fast-moving organisations

The annual compensation range for this role is listed below.

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

Annual Salary: $255,000-$320,000 USD

XML job scraping automation by YubHub

Operations Manager, Financial Crimes (AML)

As Stripe's user base and global footprint grows dramatically, we have distinctly unique support problems resulting from both our type of scale and the type of businesses we partner with. The Stripe Delivery Center (SDC) strategy will provide operational leverage and expand Stripe’s portfolio of operational capabilities to support the scaled needs for external users and internal Stripe teams.

Responsibilities

• Recruit, manage, coach, and develop a team of in-office Financial Crimes Operations Associates
• Guide your team in completing AML investigations, reviews and identifying money laundering, terrorism financing, and/or sanction risks
• Drive strong operational delivery and process improvement helping to mitigate financial crimes risk while balancing operational efficiency and user impact
• Build a great culture and ensure team members are happy, effective, and growing in their career
• Set clear goals and direction, and provide regular feedback on team members’ performance
• Be data-driven in your analysis of performance, and in your decision making
• Transmit and foster our values, serving as a beacon of Stripe’s user-centric philosophy and culture of transparency, empathy, inclusion, and empowerment

Who You Are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• At least 10+ years of direct people management experience
• Experience with payments, risk, compliance, and/or financial services industry operations
• Expertise in AML regulations and best practices
• Excellent written and verbal communication skills in English
• An ability to partner effectively with internal globally distributed stakeholders
• Strong operational background including new process launches and service delivery
• Passion for process improvement and innovation

Preferred Qualifications

• Knowledge of financial crime regulatory frameworks, inclusive of BSA Patriot Act, OFAC, and EU Anti-Money Laundering Directives
• Familiarity with the financial crime technology stack (including watchlist management systems, case management tooling, transaction monitoring and screening)
• Experience in building and scaling new teams from zero
• Experience operating in a high growth technology company

XML job scraping automation by YubHub

Your role will be cross-cutting. The Head of Growth is part of the core business line leadership team that owns top line growth and influences internal investments, prioritization, program execution, and operations. You will also be responsible for developing, mentoring, and building the EW growth team, collaborating with Division and cross-Division leaders, and supporting programs / engineering / and mission operations teams within the business line.

Key Responsibilities:

• Build a cohesive, data-driven strategy within relevant Original Equipment Manufacturers (OEM), DOD Program Executive Offices (PEO), the Intelligence Community, Federal Agencies, Federally Funded Research and Development Centers (FFRDC), University-affiliated research centers (UARC), and with International partners to penetrate, expand, and deliver technology at scale.

• Develop and maintain close working relationships with internal Anduril stakeholders including business line and division leadership, growth teams, program and engineering teams, and corporate functions to identify and shape new business opportunities, communicate and resolve program issues, and provide strategic direction to execution teams.

• Lead the expansion of the EW portfolio across US and allied services and agencies, including advanced infrared, optical, laser, threat tracking, and seeker technologies that address warfighter needs across all domains including Space.

• Partner with Anduril customers to identify and develop disruptive technologies to deliver sustained operational advantage at the tactical, operational, and strategic level.

• Work with internal stakeholders to identify, prioritize, fund, and execute internally and externally funded research and development to advance Imaging technology.

• Identify, onboard, and manage strategic partners that are vital to growth strategy and program execution.

• Deliver on financial performance metrics and build strategic market growth initiatives.

• Build, mentor, and lead the EW Growth team in business development, account management, and mission operations functions.

Requirements:

• Deep expertise in applications of radio frequency technologies such as electromagnetic warfare, signals intelligence, aircraft survivability, counter-space or other relevant areas.

• A proven leader that effectively engages and communicates with stakeholders at all levels.

• Demonstrated experience with relevant FFRDCs, UARCs, PEOs, OEMs, federal agencies, and/or Combatant Commands.

• A builder and an owner: someone who is willing to put in the work across all aspects of the business, effectively prioritize actions, and own the outcomes.

• Demonstrated ability and willingness to learn; undeterred by a long, steep climb to understand technology, programs, process, problems, and customer nuance.

• Demonstrated ability in developing and executing tactical and strategic plans to some target end state.

• Ability to identify, establish, and maintain relationships with current and future customers at all levels.

• Knowledge of defense acquisitions, with demonstrated history in new technology/product introduction, zero to one projects, and scaling to larger defense programs.

• Ability to travel up to 50%.

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

Preferred Qualifications:

• Willing to relocate to Costa Mesa, CA.

• Advanced degree (Engineering, MBA, Military Sciences, etc.).

• Understanding of business operations and financial management.

XML job scraping automation by YubHub

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Workforce Identity Cloud

Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities,like reducing costs, and doing more for your customers.

If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools.

Position Overview:

The Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh.

Key Responsibilities:

• Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency.

• AWS Infrastructure Management: Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCs, RDS, IAM, and more. Implement best practices for cost management, scaling, and security within AWS.

• Helm Management: Utilise Helm to automate and streamline the deployment of applications and services to Kubernetes clusters. Create, maintain, and manage Helm charts for production-ready deployments.

• Karpenter Implementation: Implement and manage Karpenter to dynamically scale Kubernetes clusters in response to workload demands.

• Istio Service Mesh Management: Configure and manage Istio to provide service-to-service communication, security, and observability within the Kubernetes clusters. Enable fine-grained traffic management, service discovery, and policy enforcement.

• Platform Automation & Scaling: Automate the deployment, scaling, and management of infrastructure and applications. Work with CI/CD pipelines to ensure a seamless flow from development to production with minimal downtime.

• Incident Management & Troubleshooting: Respond to incidents, troubleshoot, and resolve system issues related to performance, availability, and security in a timely and effective manner.

• Security & Compliance: Design and implement secure cloud infrastructure with appropriate access controls, network security, and compliance frameworks.

• Documentation & Knowledge Sharing: Create and maintain detailed documentation for Kubernetes platform setup, operational procedures, and best practices. Promote knowledge sharing across teams.

Required Qualifications:

• 4+ years of experience with Kubernetes/Helm;

• 4+ years of Experience with Terraform.

• 5+ years of Experience with AWS

• Experience with multi-region cloud environments.

• Proven experience with AWS (EC2, RDS, S3, CloudFormation, IAM, etc.) and solid understanding of cloud-native architectures.

• Strong expertise in Kubernetes platform creation, management, and optimisation (e.g., setting up highly available clusters, networking, and storage).

• Hands-on experience with Helm for Kubernetes application deployment and management.

• Practical experience with Karpenter for dynamic scaling of Kubernetes clusters and optimising resource usage.

• Expertise in managing and securing Istio for service mesh, including traffic management, security, and observability features.

• Proficiency in CI/CD pipelines and automation tools (e.g., Jenkins, GitLab, CircleCI, Terraform, Ansible, Spinnaker).

• Strong scripting and automation skills in Python, Bash, or Go for infrastructure management and platform automation.

• Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, CloudWatch, and ELK Stack.

Preferred Qualifications:

• Understanding of security best practices for cloud platforms and Kubernetes (e.g., role-based access control (RBAC), encryption, and compliance frameworks).

• Familiarity with Docker and containerization principles.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience).

• Certifications (Preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS Certified DevOps Engineer are highly desirable.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

• Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid

#LI-LSS1

requisition ID- (P16373_3396241)

The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000-$267,000 USD

Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$174,000-$214,000 USD

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

XML job scraping automation by YubHub

As a Research Engineer / Scientist on the Societal Impacts team, you'll design and build critical infrastructure that enables and accelerates foundational research into how our AI systems impact people and society.

Your work will directly contribute to our research publications, policy campaigns, safety systems, and products. Our team combines rigorous empirical methods with creative technical approaches. We’re currently grappling with big questions on how AI might impact the future of work, people's wellbeing, education, and more.

Additionally, we are continuously studying socio-technical alignment (what values do our systems have?), and evaluating novel AI capabilities as they arise. We develop privacy-preserving tools to measure AI's effects at scale, conduct mixed-methods studies of human-AI interaction, and translate research insights into actionable recommendations for both product and policy.

You can learn more about our team here

Responsibilities:

• Design and implement scalable technical infrastructure that enables researchers to efficiently run experiments and evaluate AI systems.
• Architect systems that can handle uncertain and changing requirements while maintaining high standards of reliability
• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
• Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission
• Interface with and improve our internal technical infrastructure and tools
• Generate net-new insights about the potential societal impact of systems being developed by Anthropic
• Ship changes that help improve our models and products based on the empirical research the Societal Impacts team is conducting

You may be a good fit if you:

• Have experience working with Research Scientists on ambiguous AI projects
• Have experience building and maintaining production-grade internal tools or research infrastructure
• Take pride in writing clean, well-documented code in Python that others can build upon
• Are comfortable making technical decisions with incomplete information while maintaining high engineering standards
• Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
• Have a track record of using technical infrastructure to interface effectively with machine learning models
• Have experience deriving insights from imperfect data streams
• Have experience building systems and products on top of LLMs
• Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders

Strong candidates may also have experience with:

• Maintaining large, foundational infrastructure
• Building simple interfaces that allow non-technical collaborators to evaluate AI systems
• Working with and prioritizing requests from a wide variety of stakeholders, including research and product teams
• Distributed systems and can design for scale and reliability
• Scaling and optimizing the performance of tools
• Product management and/or full-stack product engineering, with a track record of zero-to-one work in startup (or startup-like environments) and owning products end-to-end
• Research relating to the societal impacts of technology

Representative Projects:

• Design, implement, and mature scalable infrastructure for running large-scale experiments on how people interact with our AI systems (like Clio, Anthropic Interviewer, the Economic Index, Values in the Wild, and Emotional Impacts).
• Build robust monitoring systems that help us detect and understand potential misuse or unexpected behaviors
• Create internal tools that help researchers, policy experts, and product teams quickly analyze dynamically changing AI system characteristics

Logistics

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

XML job scraping automation by YubHub

As a Staff Technical Program Manager, you'll own program business and technical outcomes end-to-end, ensuring direct, measurable business impact. You'll lead large-scale, cross-functional teams to deliver high-quality, impactful business or technical outcomes. You'll drive complex, cross-organizational programs spanning multiple domains, ranging from internal platform improvements to customer-facing software delivery.

Key responsibilities include:

• Owning program business and technical outcomes end-to-end, ensuring direct, measurable business impact
• Leading large-scale, cross-functional teams to deliver high-quality, impactful business or technical outcomes
• Driving complex, cross-organizational programs spanning multiple domains
• Measuring the quantifiable impact of implemented outcomes and defining clear KPIs to ensure successful execution and sustainable improvement
• Enabling structure and clarity in ambiguous problem spaces, driving decisions and mitigating risks even with incomplete data
• Maintaining a deep technical understanding of the solutions being built, identifying hidden technical risks and resolving upstream and downstream technical dependencies

Requirements include:

• 8+ years of experience driving strategic technical initiatives across multiple functions and influencing VP+ stakeholders
• Experience creating and evolving program management frameworks and practices
• Deep expertise in both business and infrastructure domains, with experience driving programs that address efficiency, risk, controls, and reliability at scale
• Expertise in Fit-Gap Analysis and leading design and technical trade-off discussions to closure
• Advanced ability to define and break down ambiguous and complex business problems
• Strong communication skills with the ability to convey complex ideas authoritatively and influence executives and department leadership
• Experience in the enterprise software industry, SaaS and B2B experience preferred
• Comfortable thriving in a rapidly scaling, dynamic startup environment
• Bachelor's degree required
• Knowledge of Databricks products is a plus

XML job scraping automation by YubHub

Key responsibilities include:

• Production Leadership & Scaling: Own Production Outcomes, establish and build functions, lead high-rate production leadership, manage production budgets and costs, and drive financial discipline and efficiency.
• Site Leadership & Community Engagement: act as the primary leader for the McHenry production site, build and maintain strong relationships with local stakeholders, and ensure compliance with all safety, regulatory, and environmental standards.
• Facilities Expansion & Infrastructure Development: lead the expansion of existing facilities and the development of new production sites, ensuring all necessary permits, construction timelines, and regulatory requirements are met.
• Operational Excellence & Continuous Improvement: implement and refine processes and systems to ensure efficient, scalable, and repeatable production operations, drive the adoption of advanced manufacturing technologies, and establish and manage to key performance indicators for quality, delivery, financial performance, and safety.

This is a unique opportunity to lead and shape one of Anduril's most critical business lines in a fast-paced, mission-driven environment.

Required qualifications include:

• 10+ years of experience in a production leadership role within a highly technical, hardware-focused industry such as aerospace, defense, automotive, or energy.
• Proven track record of scaling production systems to meet demanding delivery schedules, including implementing processes for sustained high-rate manufacturing.
• Experience managing significant budgets and scaling financial operations to support business growth.
• Demonstrated ability to manage and inspire large teams across functions, including quality, supply chain, manufacturing engineering, and operations.

Preferred qualifications include:

• experience with energetics or propulsion systems.
• familiarity with the manufacturing of energetics or explosives.
• deep understanding of safety, environmental, and regulatory requirements for production facilities handling advanced propulsion systems.

This role requires a hands-on leader who thrives in dynamic environments, with the ability to build new functions and processes from the ground up and lead them to maturity. The ideal candidate will have a strategic mindset, ability to develop and execute long-term strategies while delivering on immediate production goals, and skilled in building partnerships with local stakeholders, navigating sensitive issues, and maintaining positive relationships with external partners and regulators.

The salary range for this role is $225,000-$298,000 USD, with highly competitive equity grants included in the majority of full-time offers. Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

XML job scraping automation by YubHub

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Our team is small and highly motivated, focused on engineering excellence. We operate with a flat organisational structure, where all employees are expected to be hands-on and contribute directly to the company's mission.

Responsibilities

We're looking for a Member of Technical Staff to join our team. Key responsibilities include:

Scaling synthetic coding data to trillions of tokens with large-scale Docker verification. Distilling the intelligence of flagship models into flash models through synthetic data generation. Optimising mid-training data mixtures to boost the ceiling for RL. Engineering long-context data recipes. Developing robust and diverse evaluation for mid-training checkpoints.

Basic Qualifications

To be successful in this role, you'll need:

Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. Strong ability to design ML experiments. Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities. Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing.

Compensation and Benefits

The base salary for this role is $180,000 - $440,000 USD. Our total rewards package includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI.

In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world's fastest growing AI native startups.

Responsibilities:

• Lead, coach, and develop a team of 5-10 Startup Growth AEs, providing regular feedback and guidance to drive both individual and team performance

• Own team revenue targets, developing strategies to accelerate growth

• Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring

• Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio

• Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts

• Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications

• Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics

• Participate in strategic customer conversations and support Growth AEs in complex negotiations

Requirements:

• 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams

• Proven track record of consistently exceeding team revenue targets and developing high-performing account executives

• Strong understanding of the startup ecosystem and experience working with high-growth technology companies

• Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment

• Strong analytical and problem-solving skills with a data-driven approach to decision making

• Excellence in cross-functional collaboration and stakeholder management

• Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions

• Demonstrated ability to coach and develop talent while maintaining high performance standards

Benefits:

• Annual Salary: €255,000 - €300,000 EUR

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

XML job scraping automation by YubHub

You will serve as a strategic partner, shaping how we win in Japan while building the operational foundations to scale.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights.

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates.
• Drive cross-functional alignment on go-to-market execution.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

Requirements:

• 8-10+ years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Business-level Japanese required; English proficiency strongly preferred

Preferred Qualifications:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

XML job scraping automation by YubHub

Your primary focus will be on building and managing large-scale platforms to improve the availability of our Payments platform for internal and external stakeholders. You will collaborate closely with other Payments engineering teams and Infra teams to ensure services are instrumented, scalable, and resilient to support our growing business.

Key responsibilities include:

• Designing, implementing, and maintaining systems and tools at a platform level that support flow-level observability, payments reliability, and scalability.
• Identifying and driving improvements to increase the Payments Availability, Observability, and Resiliency of Airbnb Payments.
• Developing observability standards/framework for new product readiness to ensure service reliability in SOA and distributed systems.
• Building domain expertise to achieve scalability by understanding the nuances of Payments across processing, compliance, and infra.
• Driving large-scale migration and adoption projects on Observability & Reliability by cross-collaborating with various Payments teams.
• Leading initiatives that promote a culture of reliability throughout the organization by improving incident management platforms and instrumentation.

Requirements:

• 7+ years of experience in back-end software development focusing on large-scale distributed systems.
• BE/B.Tech in Computer Science or a related technical field.
• Strong software development skills in one or more languages such as Java, Python, Kotlin, Scala, or Ruby on Rails.
• Experience in building intelligent AI agents and systems powered by Large Language Models is a plus.
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
• Familiarity with cloud platforms like AWS or Google Cloud Platform.
• Deep understanding of software development best practices, including version control, automated testing, CI/CD, and code reviews.
• Experience in incident management, monitoring, alerting, and root cause analysis.
• Effective leadership and communication skills to coordinate cross-functional teams during large-scale projects.
• Experience with initiatives across auto-scaling, self-healing mechanisms, chaos engineering, performance optimization techniques will be a plus.
• Previous experience in AI/ML will also be a plus.

If you are a strong problem solver and have worked in a team that is on-call for production systems before, we encourage you to apply.

XML job scraping automation by YubHub

This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions.

As a Software Engineer on this team, you will participate in all phases of the software development life cycle, including requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments, and on-call support.

In this role, you'll:

• Design and implement real-time services with high throughput and low latency requirements, verify, deploy, and operationalize them

• Work closely with stakeholders to understand customer needs and devise and deliver simple, robust, and scalable solutions

• Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects, and cross-functional teams

• Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity

• Figure out novel ways of solving customer problems for the Voice channel

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

XML job scraping automation by YubHub

As a Senior Product Designer, you will sit at the intersection of product design, product thinking, and front-end engineering. You will help us scale and evolve Alchemy's UI system, owning core components, patterns, and implementation quality, while also jumping into product work when needed to unblock teams and raise the craft bar.

Key responsibilities include:

• Building production-quality prototypes to validate UX direction quickly
• Owning and evolving Alchemy's design system in practice
• Translating design intent into high-quality React/TypeScript UI
• Driving system scalability and proposing improvements
• Partnering closely with product designers and engineers to improve the craft and feasibility of design work

We are looking for a strong front-end fundamentals and comfort building interactive UI, with a systems-minded approach and a designer's eye for detail. You should be able to prototype quickly without sacrificing craft and choose the right fidelity for the question at hand. Clear communication across disciplines is essential.

Benefits and perks include medical, dental, and vision coverage, gym reimbursement, home office build-out budget, in-office group meals, wellbeing and mental health perks, learning and development stipend, company-sponsored conferences and events, HSA and FSA plans, and fertility benefits.

The base salary range for this position is estimated to be between $180,000 - $210,000 annually.

XML job scraping automation by YubHub

Strong customer advocacy, relationship building, and communications skills are essential for this role. You will need to be able to easily pivot from delivery to strategic engagements with customers. You will work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• Ability to easily pivot from delivery to strategic engagements with customers
• Work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers' most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

Requirements:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years' experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding current UK security clearance, or has previously held security clearance, or is willing to undergo security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java, and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS, or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave

Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

XML job scraping automation by YubHub

You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Role Focus

This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include:

• Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa.
• Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes.
• Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.
• Build and lead a regional team supporting EMEA customers, both inbound and outbound.
• Design and execute innovative sales strategies tailored to diverse EMEA contexts.
• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments.
• Develop and maintain relationships with key EMEA ecosystem players.
• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.
• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.

Requirements

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.
• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions.
• Experience building and scaling sales teams.
• Deep understanding of nonprofit or education sector operations.
• Demonstrated ability to navigate diverse stakeholder ecosystems.
• Proven experience exceeding revenue targets.
• Excellent communication skills.
• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

Logistics

Location: London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly. Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours. Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

XML job scraping automation by YubHub

You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI.

In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world's fastest growing AI native startups.

Responsibilities:

• Lead, coach, and develop a team of 5-10 Startup Growth AEs, providing regular feedback and guidance to drive both individual and team performance

• Own team revenue targets, developing strategies to accelerate growth

• Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring

• Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio

• Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts

• Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications

• Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics

• Participate in strategic customer conversations and support Growth AEs in complex negotiations

You may be a good fit if you have:

• 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams

• Proven track record of consistently exceeding team revenue targets and developing high-performing account executives

• Strong understanding of the startup ecosystem and experience working with high-growth technology companies

• Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment

• Strong analytical and problem-solving skills with a data-driven approach to decision making

• Excellence in cross-functional collaboration and stakeholder management

• Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions

• Demonstrated ability to coach and develop talent while maintaining high performance standards

The annual compensation range for this role is $360,000-$435,000 USD.

XML job scraping automation by YubHub

You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Enterprise Strategy & Analysis:

• Partner with sales and regional leaders to develop gtm strategy, motions, country/region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)
• Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.
• Build and maintain industry-specific value propositions, use cases, and sales playbooks
• Drive territory and account segmentation strategies based on industry characteristics and opportunity
• Establish industry benchmarks and best practices to guide sales approach and prioritization
• Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

• Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions
• Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments
• Analyze industry-specific sales metrics and pipeline dynamics to develop proactive insights
• Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances
• Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment
• Work with Product teams to communicate industry-specific feature requirements and market feedback
• Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates
• Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies
• Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

• Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements
• Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management
• Optimize sales technology stack and ensure effective adoption of Salesforce and other sales tools
• Establish sales process methodology, qualification criteria, and stage definitions for consistent execution
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

Requirements:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles
• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets
• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy
• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Track record of building sales capacity models, productivity frameworks, and headcount planning processes
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Proven ability to influence and partner with C-level stakeholders and senior sales leadership
• Track record of developing industry-specific frameworks, sales plays, and value propositions

Preferred Qualifications:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles
• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries
• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• MBA or advanced degree
• Experience building industry-specific go-to-market motions from scratch
• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments
• Experience with emerging technologies (AI, ML) in enterprise contexts
• Management consulting experience with focus on industry strategy or commercial excellence

Benefits:

• Annual compensation range: €140,000 - €200,000 EUR
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

XML job scraping automation by YubHub

Artificial intelligence will be one humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The Role:

As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users' ideas. In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product.

You will deploy capabilities that drive daily usage of the product. To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind's Gen AI unit into the product.

Your core responsibilities will include:

• Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.

• Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.

• Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.

• Drive the integration of GenAI model capabilities into Gemini App products.

• Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.

• Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.

• Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.

• Ensure the scalability, reliability, and performance of Create-related features.

Candidate Qualifications

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.

• 15 years of experience in software engineering, building and working with systems in the technology organization.

• 7 years of experience managing teams of software engineers and managers of software engineers.

In addition, the following would be an advantage:

• Master's or PhD degree in Computer Science, or a related technical field.

• Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.

• Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.

• The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

XML job scraping automation by YubHub

Responsibilities:

• Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success
• Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas
• Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
• Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes
• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for financial applications
• Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails
• Build strong partnerships across the organization to drive strategic initiatives within the Industries sector
• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within financial departments, research centers, and administrative offices
• Help your team navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus
• Gather and synthesize customer feedback from financial users to inform product direction and enhance customer experience for Industries
• Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices

You may be a good fit if you have:

• 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies
• 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in DACH and CEE
• Proven track record of building and leading high-performing sales teams selling into financial institutions, with demonstrated success in coaching and developing AEs
• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries
• Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with financial stakeholders
• Track record of successful partnership with technical teams throughout the customer journey within financial institutions
• Deep understanding of Industries buying cycles, procurement frameworks, and key pain points
• Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
• Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals
• Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles
• Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries
• Strategic approach to financial market analysis combined with tactical excellence in execution
• Passion for AI technology and commitment to its safe, responsible development for financial use cases

XML job scraping automation by YubHub

Experience in leading law enforcement response operations, managing global teams, and optimizing workflows is essential. You will ensure accurate, efficient processing while mentoring and promoting accountability and innovation.

Responsibilities:

• Lead complex projects that impact organisational performance, aligning with priorities to set goals and optimise results.

• Maintain knowledge of regulations, policies, and procedures; speak to regulatory bodies or auditors on workflows and operations.

• Strengthen the team via hiring, development plans, and growth opportunities.

• Adapt to high-demand changes, delegate effectively, stay calm under pressure, and motivate the team.

• Assess team needs in a dynamic legal landscape, emphasising user protection, transparency, policy development, scaling, and distributed collaboration via electronic tools.

• Communicate with internal stakeholders like Safety Leadership and Counsel on operations; update team on company changes.

• Analyze team performance with data visualisations and feedback; drive global QA strategy and consistency.

• Propose process improvements based on trends, owning segments for operational efficiency.

• Support sensitive escalations, answer policy questions, interpret metrics, and improve processes cross-functionally.

• Join on-call rotations for emergencies, addressing sensitive content (e.g., exploitation, violence) maturely.

• You may represent the company externally, such as in witness testimony or law enforcement interactions.

• Drive AI Automation: Collaborate with product engineering and data science teams to implement AI-based tools for case management, optimising workflows and reducing manual workloads.

Basic Qualifications:

• MA/MS Degree or equivalent in business, criminal justice, political science, law, international relations, or related field.

• 10+ years in law enforcement response, trust and safety, compliance, or legal background.

• 5+ years managing people, including global/distributed teams.

• Fluent in written and spoken English; excellent judgment, strategic thinking, and detail-orientation.

• Experience with legal request processing, scaling operations, and policy development.

• Exceptional communication, writing, and analytical skills; passion for privacy and expression.

• Perseverance, grit; ability to work through ambiguity.

• Availability to be on-call, including over weekends.

• Skilled in systems, software (e.g., Google Suite, data tools); must pass background check

Preferred Skills and Experience:

• 8-10+ years in Safety/Legal Operations at tech/social media company.

• An active X user with a deep understanding of the platform’s role as a global public square and its Safety challenges.

• Able to work onsite in Bastrop and travel as needed to collaborate with global teams.

ITAR Requirements:

• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorisations from the U.S. Department of State. Learn more about the ITAR here.

XML job scraping automation by YubHub

You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

You'll win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic.

You'll build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling,while rolling up your sleeves to close deals yourself.

You'll design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions.

You'll navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus.

You'll develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners.

You'll inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs.

You'll continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team.

You'll partner effectively with SF-based teams across time zones, maintaining regular cadence with Elizabeth Kelly and cross-functional stakeholders while operating with significant regional autonomy.

You'll help shape team processes and culture as we scale from 1 to N.

The ideal candidate has 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.

They have a track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs.

They have experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts.

They have a deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement.

They have demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees.

They have a scrappy mentality,comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

They have proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones.

They have excellent communication skills with ability to adapt style across cultural contexts.

They have fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

They have a genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology.

Strong candidates may also have active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership.

They have existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions.

They have familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.

They have a track record of building strategic partnerships with foundations or philanthropic advisors.

They have experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums.

They have understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

XML job scraping automation by YubHub

You will join the multimodal team to push toward superhuman multimodal intelligence. Advance understanding and generation across modalities,image, video, audio, and text,spanning the full stack: data curation/acquisition, tokenizer training, large-scale pre-training, post-training/alignment, infrastructure/scaling, evaluation, tooling/demos, and end-to-end product experiences.

Collaborate cross-functionally with pre-training, post-training, reasoning, data, applied, and product teams to deliver frontier capabilities in multimodal reasoning, world modeling, tool use, agentic behaviors, and interactive human-AI collaboration. Contribute to building models that can see, hear, reason about, and interact with the world in real time at unprecedented levels.

Responsibilities

• Design, build, and optimize large-scale distributed systems for multimodal pre-training, post-training, inference, data processing, and tokenization at web/petabyte scale.
• Develop high-throughput pipelines for data acquisition, preprocessing, filtering, generation, decoding, loading, crawling, visualization, and management (images, videos, audio + text).
• Advance multimodal capabilities including spatial-temporal compression, cross-modal alignment, world modeling, reasoning, emergent abilities, audio/image/video understanding & generation, real-time video processing, and noisy data handling.
• Drive data quality and studies: curation (human/synthetic), filtering techniques, analysis, and scalable pipelines to support trillion-parameter models.
• Create evaluation frameworks, internal benchmarks, reward models, and metrics that capture real-world usage, failure modes, interactive dynamics, and human-AI synergy.
• Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling paradigms for state-of-the-art performance.
• Build research tooling, user-friendly interfaces, prototypes/demos, full-stack applications, and enable rapid iteration based on feedback.
• Work across the stack (pre-training → SFT/RL/post-training) to enable reasoning, tool calling, agentic behaviors, orchestration, and seamless real-time interactions.

Basic Qualifications

• Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal).
• Expert-level proficiency in Python (core language), with strong experience in at least one of: JAX / PyTorch / XLA.
• Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi-GPU/TPU setups, hardware co-design).
• Deep experience designing and running data pipelines at scale: curation, filtering, generation, quality studies, especially for noisy/real-world multimodal data.
• Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques (particularly for interactive/agentic behaviors).
• Proactive self-starter who thrives in high-intensity environments and is passionate about pushing multimodal AI frontiers.
• Willingness to own end-to-end initiatives and do whatever it takes to deliver breakthrough user experiences.

Preferred Skills and Experience

• Experience leading major improvements in model capabilities through better data, modeling, algorithms, or scaling.
• Familiarity with state-of-the-art in multimodal LLMs, scaling laws, tokenizers, compression techniques, reasoning, or agentic systems.
• Proficiency in Rust and/or C++ for performance-critical components.
• Hands-on work with large-scale orchestration tools such as Spark, Ray, or Kubernetes.
• Background building full-stack tooling: performant interfaces, real-time research demos/apps, or end-to-end product ownership.
• Passion for end-to-end user experience in interactive, real-time multimodal AI systems.

XML job scraping automation by YubHub

Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property managers alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.

Off the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We're on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.

As a Staff Engineer, you will:

Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents. This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.

Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service. We’re not just building software we’re designing AI that people want to work with. Delightful, trustworthy, and deeply effective.

Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.

You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

You'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.

As our first US-based engineer, you'll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.

You'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.

Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.

We're looking for a Staff Engineer to help us bring that future to life. This is not just another dev role. You'll be hands-on shaping the technical DNA of Zuma. You'll architect critical systems, tame legacy code, build net-new AI-powered experiences, and lay down the patterns future engineers will inherit.

If you're obsessed with building real products people use, especially products powered by LLMs, this might be your playground.

Why This Could Be Your Dream Role

• You'll work directly with cutting-edge LLM technology in a real-world application
• You want to work at a company where customers feel your impact every day
• You'll architect AI-powered systems that are transforming the real estate industry
• You'll have autonomy to design and implement innovative technical solutions
• Your work will directly impact thousands of apartment communities and millions of renters
• You'll receive significant equity in a venture-backed company with strong traction
• As we scale, your role and influence will grow with the company

Why You Might Want to Think Twice

• This is a demanding role that will often require extended hours and deep commitment
• As a founding team member, you'll need to wear multiple hats and step outside your comfort zone
• You'll need to make thoughtful tradeoffs between innovation and immediate needs
• You'll interact directly with customers to understand their needs and occasionally travel to their offices
• We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs
• If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you

Responsibilities

• Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation
• Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands
• Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products
• Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability
• Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform
• Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions
• Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development

Your Experience Looks Like

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability
• Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services
• Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)
• Hands-on experience with database design, performance tuning, and scaling high-throughput data systems
• Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices
• Strong communication skills and ability to work effectively in a distributed, fast-paced environment
• Comfortable operating in early-stage, high-ownership environments with evolving requirements
• Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure
• Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows

Guiding Principles

• Customer‑First Outcomes

Every commit should trace back to resident or operator value. Whether it’s a new feature, infra investment, or AI capability, if it doesn’t solve a real problem, it doesn’t ship.

• Bias for Simplicity

We favor composable primitives over clever abstractions. Open standards, clean APIs, and clear contracts win over custom complexity, even if the custom version is cooler.

• Quality Is a Gate, Not an After‑Thought

Quality is built-in from day one. Our definition of done includes: test coverage, performance checks, basic observability, and internal docs. Shipping fast doesn’t mean skipping craftsmanship.

• Data‑Driven Choices

We use data to guide, not paralyze, our decision-making. We track leading indicators (cycle time, defect rate, NPS) and lagging signals (retention, revenue impact). We keep instrumentation lightweight but meaningful signal over spreadsheet.

• Transparency & Written Culture

Good ideas don’t expire in Zoom. We operate in public i

XML job scraping automation by YubHub