As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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The team fosters a collaborative environment and is building a best-in-class program to partner with the business to protect the Firm’s information and computer systems. Millennium is a complex and robust technical environment and securing the Firm from external and internal threats is a top priority.

Responsibilities

• Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.
• Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).
• Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.
• Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.
• Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.
• Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.
• Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.
• 5+ years’ experience working as an Application Security Engineer, Software Engineer, or similar role.
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.
• Experience working with AI models, Agentic frameworks and security risks associated with AI.
• Experience in working with global teams, collaborating on code and presentations.
• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies.
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus.
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.

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The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

Principal Responsibilities:

• Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.
• Work with portfolio managers and other internal customers to reduce operational risk through:
• Implementation of monitoring, reporting, and trade workflow solutions.
• Implementation of automated systems and processes focused on trading and operations.
• Streamlining development and deployment processes.
• Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.

Technical Qualification:

• 5+ years of development experience in Python.
• Experience working in a Linux / Unix environment.
• Experience working with PostgreSQL or other relational databases.
• Ability to understand and discuss requirements from portfolio managers.

Preferred Skills and Experience:

• Understanding of NLP, supervised/non-supervised learning and Generative AI models.
• Experience operating and monitoring low-latency trading environments.
• Familiarity with quantitative finance and electronic trading concepts.
• Familiarity with financial data.
• Broad understanding of equities, futures, FX, or other financial instruments.
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.
• Experience with Apache / Confluent Kafka.
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).
• Experience with containerization and orchestration technologies.
• Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.
• Contributions to open-source projects.

The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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Key responsibilities include analysing user requests, soliciting vendor proposals, negotiating pricing, reviewing agreement terms and preparing competitive events / RFPs as needed. Additionally, the Analyst will work with internal stakeholders and vendors to drive continuous cost and process improvements.

Principal Responsibilities:

• Formulate and deploy sourcing strategies and drive the negotiation of agreements for goods and services across multiple categories of spend including software, hardware, and technology equipment.
• Coordinate with internal stakeholders and vendors to develop best-in-class strategies to deliver value and minimise risk.
• Identify opportunities for consolidation of suppliers and ways to enhance relationships with existing suppliers.
• Extract and analyse data to support the identification of cost savings, process efficiency, and risk mitigation opportunities.
• Conduct market research to identify potential suppliers and assess industry trends.
• Drive process improvement and efficiencies within the system across the firm.

Qualifications/Skills Required:

• Bachelor's Degree (business-related) and 3+ years of indirect procurement experience.
• Sourcing and procurement experience in technology category of spend.
• Familiarity with using generative AI tools to enhance efficiency.
• Driven, innovative, results-oriented and persistent with a positive attitude and high interest in problem-solving.
• Excellent communication skills, both oral and written.
• Ability to actively listen and engage in conversation to uncover relevant information and identify solutions.
• Quick learner, detail-oriented and strong ownership of work.
• Ability to establish working relationships with all levels of staff, management and vendors.
• Able to prioritise in a fast-moving, constantly changing environment; high sense of urgency.
• Team player with a strong willingness to participate and help others.
• Experience with Oracle or Procure-to-Pay systems and Tableau.

Estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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This is the opportunity to start your career with a global leader committed to HealthForAll and HungerForNone. Bring your ideas, skills, and passion with you. Your career starts here.

Are you passionate about AI, data science, and behavioural insights? Join our Talent Impact team and apply your technical skills to projects that combine machine learning, generative AI, and behavioural science to improve how people work and develop. This internship offers hands-on experience in a supportive environment where you’ll learn, contribute, and make an impact.

Your tasks and educational objectives:

• Work with HR and behavioural data to create structured, analysis-ready datasets for people analytics.
• Support development and testing agentic AI workflows (including LLM-based tools) that support HR decision-making.
• Help to build and evaluate machine learning models to explore workforce trends, learning behaviours, and engagement.
• Together with team members, create dashboards and visualisations that turn complex data into actionable insights for HR and business partners.
• Apply modern data workflows using Databricks, GitHub Spaces, and cloud platforms (Azure or AWS).
• Collaborate with experienced mentors and participate in small experiments to measure impact and share findings.

Who you are:

• Python programming skills for data processing, modelling, and AI workflows.
• Hands-on experience with Generative AI (GenAI) or LLM-based systems (academic projects or internships count).
• Familiarity with cloud platforms (Azure or AWS), with a focus on Databricks and GitHub Spaces for collaborative development.
• Solid foundation in data science and machine learning.
• Strong interest in behavioural science, people analytics, and HR.
• Currently enrolled in a Master’s or advanced Bachelor’s program in data science, computer science, cognitive science, psychology, behavioural economics, neuroscience, or a related field.
• Curiosity, willingness to learn, and ability to work on-site in Leverkusen.
• Fluent English, written and spoken.

What we offer:

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because what matters to you, matters to us!

• For a full-time position, you can expect an attractive salary of € 2,214 gross per month.
• Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.
• We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.
• As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work, for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

Our Mission & Strategy:

Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer. Ready to join us? Apply now and start your 6-month learning journey in Leverkusen!

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This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.

Responsibilities:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have:

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Nice to have:

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance

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.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD

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This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorised to work in the United States; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Requirements

• Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.
• Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.
• Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Benefits

• Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.
• Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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As a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise, you will partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data. This involves guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.

Your responsibilities will also include analysing feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. You will design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems, including creating models that critique, grade, and explain agent outputs.

To succeed in this role, you will need a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and the ability to thrive in a dynamic, fast-paced research environment. You should be able to think outside the box, stay current with the latest literature in AI evaluation, and be passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.

In addition to your technical expertise, you will need excellent communication and collaboration skills, as you will work closely with cross-functional teams to drive project success.

If you are a motivated and detail-oriented individual with a passion for AI research and evaluation, we encourage you to apply for this exciting opportunity.

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The ideal candidate is scrappy, thrives in a fast-paced, dynamic environment, is willing to experiment, and has exceptionally strong design fundamentals. You will lead the end-to-end production of high-fidelity motion graphics, from initial concept to final rendering and delivery, dedicate time to research and development of new design concepts, experimenting with emerging motion trends and technologies to keep the brand at the forefront of the AI industry, develop and optimize motion workflows, including the integration of generative AI tools to improve team efficiency and output quality, apply a high degree of taste and rigorous design fundamentals to all experimental work, ensuring that even the most "scrappy" or innovative explorations maintain brand integrity, and translate complex technical data and AI concepts into compelling visual narratives that resonate with both developer communities and executive stakeholders.

Ideally you'd have 5+ years of professional experience in motion design or creative production, ideally within a high-growth technology company, world-class agency, or culturally-defining brand, exceptional command of typography, color theory, and composition, proven ability to thrive in "scrappy" and ambiguous environments, managing rapid-fire R&D alongside long-term strategic projects, and experience working in multidisciplinary teams and a track record of fostering a culture of continuous learning and mentorship.

Nice to haves include experience in node-based motion software such as TouchDesigner, Cavalry, 3D software experience in Cinema 4D, Blender, or Houdini, generative AI tooling, background in creative production, and experience working with global teams and managing remote collaborations.

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Ideally, you will have 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department, with experience advising on broader product or regulatory matters. You will have a JD and active membership in at least one U.S. state bar (California preferred) in good standing. You will have strategic thinking, risk calibration, collaboration, agility, and organizational skills. You will have a deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams.

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Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases.

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

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You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.

All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.

Key responsibilities include:

• Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions

• Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous

• Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains

• Leading a cross-functional team to exceed the customer’s AI/ML objectives

• Supporting and partnering across B2B and B2G organisations to achieve the outcomes in delivering the greater layered defense for the United States

We have a diverse team with a variety of skill sets, many have:

• 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.

• A proven track record in B2B or government client-facing roles and expanding client relationships

• Prior experience leading engagements with government customers

Must-haves include:

• An active TS/SCI clearance

• Minimum of 3 years of work experience leading teams / programs in industry or government

• A basic understanding of ML operations process

• A track record of structured, analytics-driven problem-solving

• Excellent verbal and written communication skills

• Willingness to travel at least 25% of the time

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

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

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You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.

Responsibilities:

• Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments.
• Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems.
• Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation.
• Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization.
• Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation.
• Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership.
• Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities.

Qualifications:

• 15+ years of experience as a technical software engineering leader.
• Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments.
• Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred.
• Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact.
• Experience influencing and mentoring engineering teams in complex, matrixed environments.
• Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality.
• Advanced degree in Computer Science, Engineering, or related field preferred but not required.

Culture & Impact:

At Scale, we believe that AI should amplify human potential - and our engineering culture reflects that belief. Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment.

The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers.

You’ll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what’s possible with AI.

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Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the 'technical win' by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop 'Scopes of Work' by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience

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

Key responsibilities include:

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

Ideal candidates will have:

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

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

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This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

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

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.

• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.

• Core Agent Capabilities Development:

Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.

Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.

Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.

Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.

Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.

• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.

• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.

• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.

• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.

• Deep expertise in Generative AI and Large Language Models (LLMs).

• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.

• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.

• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.

• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.

• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.

• Experience with vector databases and advanced retrieval techniques.

• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).

• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.

• Experience driving cross-team technical initiatives that have delivered significant business impact.

Compensation

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

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 USD

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We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions.

As a Product Manager of AI Applications, you will be responsible for owning large AI projects for one or many customers, leading a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers.

Key responsibilities include:

• Leading design workshops with clients to define custom AI solutions
• Scoping out new AI application use cases across various government entities
• Leading cross-functional development of AI applications and custom LLMs with diverse stakeholders
• Engaging with future end-users to solicit feedback and ensure effective prioritization

Minimum qualifications include:

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)

Nice to have:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

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We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organisations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

Responsibilities:

• Lead design workshops with the client to define custom AI solutions
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritising effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications:

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

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

We're seeking a Head of Marketing Operations to shape how our marketing team operates and scales.

You will enable the marketing organization to plan, optimize, measure, and deliver creative and product marketing work by owning the systems, processes, and data that power end-to-end marketing execution.

Key responsibilities include:

• Design and run our marketing operating rhythm
• Build and continuously improve the core marketing rhythms (annual and quarterly planning, monthly reviews, weekly stand-ups) to create a clear, repeatable way for the team to get work done.
• Own internal review cadences that maximize leverage from marketing leadership time, ensuring the right topics, data, and decisions are surfaced at the right altitude.
• Lead external marketing processes and cross-functional operations
• Design and run the programs that connect Marketing with cross-functional partners (e.g., Product, CS, Sales, Legal, Finance) including XFN reviews, approvals, and post-campaign reporting.
• Clarify and document how teams engage with Marketing (intake, SLAs, approvals), ensuring predictable and transparent ways of working.
• Drive GTM, creative, and production workflows
• Evolve GTM and creative workflows, aligning Product Marketing, Creative, Design, and Product teams around clear milestones, deliverables, and hand-offs from brief to launch and post-mortem.
• Establish and maintain production processes, asset workflows, approvals, and tooling to support high-quality, on-time delivery of campaigns and programs.
• Own financial planning, reporting, and accountability
• Partner with Finance and FP&A to run quarterly and annual planning processes, ensuring marketing budgets, headcount, and programs are aligned to company priorities.
• Build robust reporting on program investment, performance, and ROI; drive clear accountability between marketing leaders and FP&A rather than acting as a permanent “patch” between the two.
• Build systems, data, and insight for better decision-making
• Identify operational gaps across planning, execution, and measurement; design repeatable, scalable systems that make it easy for teams to move quickly without sacrificing quality.
• Ensure marketing data (pipeline, revenue, funnel metrics, campaign performance) is accurate, accessible, and used to inform decisions at all levels.
• Stand up and/or optimize tooling (initially assuming a low-MarTech environment) to support workflows and reporting over time.
• Own internal artifacts, policies, and documentation
• Create and maintain core marketing artifacts and policies (e.g., operating playbooks, MarComms policy, retention and audit practices), ensuring they are up-to-date, discoverable, and used.
• Drive consistency and compliance across marketing programs through clear documentation and training.
• Foster a high-engagement team culture
• Own key team touchpoints (e.g., all-hands, offsites, operating reviews) in partnership with Marketing leadership to reinforce priorities, celebrate impact, and drive alignment.
• Partner with the HRBP to use engagement survey results and other feedback to identify and act on culture and engagement opportunities.

Requirements include:

• Significant experience in marketing operations and/or marketing leadership within modern marketing organizations (not purely ops), with a strong understanding of how creative and marketing development actually work day-to-day.
• Proven track record designing and scaling operating systems for marketing: planning cadences, campaign processes, and XFN engagement models.
• Demonstrated ability to think in systems, not tasks, and to design processes that are resilient, scalable, and easy for others to understand and adopt.
• Strong command of marketing finance principles, including budget forecasting, accruals, contract management, and ROI tracking, with experience partnering closely with Finance/FP&A.
• Deep experience working with cross-functional stakeholders such as Product Marketing, Creative, Product, Legal, Finance, and Customer Success, and driving outcomes without direct authority.
• A data-driven approach: comfortable using data to diagnose issues, measure impact, and inform decisions across pipeline, revenue, and campaign performance.
• Exceptionally clear and structured communicator, able to distill complex operational challenges into simple narratives and action plans for executives and teams.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to have:

• Experience building or optimizing marketing operations in environments, and then thoughtfully layering in tools as the function matures.
• Background in high-growth tech, fintech, or crypto, with comfort operating in ambiguity and rapidly evolving business priorities.
• Experience leading or influencing team culture efforts (e.g., all-hands design, recognition programs, engagement action planning) in partnership with People/HR.

Who you are:

You are a builder who loves making complex organizations run smoothly. You’re equally comfortable in the weeds of process design and in executive reviews, and you have a strong marketing background that allows you to empathize with creative and product marketers while bringing the rigor of operations and finance. You thrive in cross-functional environments, are energized by creating clarity, and take pride in designing systems that unlock better work for everyone around you.

Job #P76345 #LI-Remote

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $205,785-$242,100 USD

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For example, you might do any or all of the following:

• Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;

• Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;

• Publish evaluation methodologies and write technical reports for policymakers.

We are seeking talented researchers to join us in shaping this vision.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;

• Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;

• A track record of published research in machine learning, particularly in generative AI;

• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;

• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;

• Experience with red-teaming or adversarial testing of AI systems;

• Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

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

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Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth.

The Impact You Will Have:

• Alongside the sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for the FSIs and DIBs customers
• You will hire, train, lead, and grow the Solutions Architect team for a company in high-growth mode
• Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses
• You will maintain a robust hiring pipeline at all times
• Establish relationships across the business to make your customers and team successful
• Keep your team of SAs ahead of the technical curve

An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For:

• Proven experience building and leading technical pre-or post-sales teams
• 5+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI)
• Alternatively, 5+ years of experience in mission-focused space impacting DIB or FSI from a technology perspective
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Strategic mindset focused on driving customer outcomes in an accelerated fashion
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Technical and business skills to earn the trust of Engineering talent and leadership at Databricks
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,100-$264,175 USD

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Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.

To succeed in this role, you'll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.

In addition to your technical expertise, you'll need strong written and verbal communication skills to operate in a cross-functional team.

This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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

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

As an Internal Audit IT Manager, you will own end-to-end delivery of complex IT and security audits across our cloud infrastructure, security operations, and crypto-native systems.

Key responsibilities include:

• Owning end-to-end delivery of IT and security audits, from risk assessment and scoping through planning, fieldwork, testing, reporting, and issue validation,covering cloud infrastructure (AWS, GCP), security operations, identity and access management, data protection, IT asset management, vendor/third-party risk, and key in-scope products and services including blockchain infrastructure, centralized and self-hosted wallets, and cold storage.

• Driving AI-enabled audit execution, designing and implementing data analytics, automation, and Generative AI solutions to modernize how we audit (e.g., continuous monitoring, anomaly detection, automated evidence retrieval, AI-assisted workpaper drafting),while maintaining rigorous human-in-the-loop validation to ensure accuracy and audit-quality conclusions.

• Executing audits aligned with the multi-year IT and security audit roadmap, coordinating coverage with co-sourced partners and cross-functional risk initiatives while ensuring alignment with Coinbase's enterprise risk profile, technology strategy, and regulatory expectations across regions (US, EMEA, APAC).

• Driving high-quality, risk-based findings and executive-level reporting, distilling key themes, emerging risks, and root causes into clear, concise materials for senior management and the Chief Audit Executive,ensuring findings are appropriately documented and supported by evidence.

• Partnering with technology and security leadership across Engineering, Security, Infrastructure, Product, and Operations to build trusted relationships, challenge control design, and advise on pragmatic, risk-based, scalable remediation while maintaining third-line independence.

• Driving disciplined issue management, ensuring timely, risk-based remediation by management, high-quality root cause analysis, and validation of remediation activities,escalating delays or thematic concerns to senior leadership as needed.

• Evaluating and developing talent, assessing candidates and helping build a high-performing, technically credible audit team.

Requirements include:

• 7+ years of experience in IT/security internal audit, technology risk, or first-line security/engineering roles with significant controls exposure.

• Experience working in a fast-paced, cloud-native, or engineering-driven environment where technology and security practices evolve rapidly.

• Hands-on audit experience with cloud platforms (AWS, GCP), including IAM policies, security configurations, logging/monitoring, and CI/CD pipelines.

• AI-forward mindset with demonstrated experience applying Python, SQL, or AI tools to audit or security work, building workflows rather than just prompting.

• Relevant professional certifications (e.g., CISA, CISSP, CIA, CISM) required; CPA or CFE a plus.

• Working knowledge of key frameworks such as NIST CSF, COBIT, SOC 2, and ITIL.

• High EQ and collaborative style.

• Proven ability to translate complex technical findings into clear, executive-ready narratives for both technical and non-technical audiences.

• Ability to manage multiple audits and initiatives across time zones (EMEA, APAC) with minimal oversight.

• Demonstrated leadership and team-development experience, including mentoring, coaching, and managing direct reports.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to have:

• Experience auditing or building blockchain infrastructure, crypto custody, or wallet systems (hot/cold storage).

• Background in a high-growth or rapidly scaling environment with complex, evolving technology stacks.

• Experience with GRC platforms (Workiva, Archer, AuditBoard) or building custom audit automation tooling.

• Familiarity with DORA, MiCA, or crypto-specific regulatory frameworks.

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

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

As a Senior Software Engineer on the Echo team, you will solve unique, large scale, highly complex technical problems, bridging the constraints posed by web-scale applications and blockchain technology.

You will help build the next generation of systems to make cryptocurrency accessible to everyone across the globe, operating real-time applications with high frequency, low latency updates, and managing the most secure, dockerized infrastructure running in the cloud.

The Echo team is responsible for two innovative products in the capital formation space; Echo and Sonar.

We are a small team that operate as a startup within the larger org, and we’re committed to shipping impactful product at a fast pace.

Echo, our marketplace for private investments has facilitated over 300 deals and $150m invested since 2024, and Sonar - our public sales and compliance platform - enables customers to run their own token sales.

Our engineering team works across the whole stack and is empowered to take ownership of large projects.

What you'll be doing:

• Build new services to meet critical product and business needs using Golang.

• Design scalable systems to solve novel problems with modern cloud technology and industry best practices.

• Articulate a long term vision for maintaining and scaling our backend systems and the teams running them.

• Work with engineers, designers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every quarter.

• Write high quality, well tested code to meet the needs of your customers.

What we look for in you:

• You have at least 5 years of experience in software engineering.

• You’ve designed, built, scaled and maintained production services, and know how to compose a service oriented architecture.

• You write high quality, well tested code to meet the needs of your customers.

• You’re passionate about building an open financial system that brings the world together.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

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

• Experience with growth experiments or A/B testing frameworks.

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

• You have experience decomposing a large monolith into microservices.

• You’ve worked with Golang, Ruby, Docker, Rails, Postgres, MongoDB or DynamoDB.

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

Job #: (GB-CFBE05UK-Q126)

#LI-Remote

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

£122,400-£136,000 GBP

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You will work across the full agent lifecycle,from model and system design to evaluation, deployment, and iteration,bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

Key responsibilities include:

• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.

Ideal candidates will have:

• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves include hands-on experience building AI agents using modern generative AI stacks, experience with agent frameworks, orchestration layers, or workflow systems, familiarity with evaluation, monitoring, and observability for LLM-powered systems in production, and experience deploying ML systems in cloud environments and operating them at scale.

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We are seeking a seasoned leader to join our Field Engineering team as a Sr. Manager, Field Engineering - Financial Services. As a key member of our team, you will be responsible for leading a team of Solutions Architects for the Financial Services segment of Databricks' Regulated Industries Field Engineering team.

Responsibilities:

• Lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.
• Partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks' Data Intelligence Platform.
• Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have:

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• Maintain a robust hiring pipeline of highly qualified, bar-raising candidates.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack.
• Ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.

What We Look For:

• Proven experience building and leading technical pre-sales teams.
• 10+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Strong understanding of consumption-driven business models and the recipes for long-term growth and success.
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $192,100-$264,175 USD.

Benefits:

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

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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For example, you might:

• Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
• Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
• Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
• Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;
• Practical experience conducting technical research collaboratively;
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;
• A track record of published research in machine learning, particularly in generative AI;
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;
• Experience with red-teaming, prompt injection, or adversarial testing of AI systems.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.

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

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As a 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!

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We are seeking a highly experienced Manager, Field Engineering to lead a team of Solutions Architects for our Field Engineering team in Latam. As a Manager, Field Engineering, you will be responsible for leading and promoting a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.

Key Responsibilities:

• Lead and promote a dynamic team of Solutions Architects
• Partner with Sales and other Field Engineering technical segments to increase revenue and help customers become wildly successful
• Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market

The Impact You Will Have:

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• Maintain a robust hiring pipeline at all times
• Establish relationships across the business to make your customers and team successful
• Keep your team of SAs ahead of the technical curve

What We Look For:

• Proven experience building and leading technical pre-or post-sales teams
• 10+ years of experience in the data space with a technical product
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Strong understanding of consumption-driven business models and the recipes for long-term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.

Benefits:

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

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. We also ensure that Temporal integrates well with leading AI frameworks and libraries.

As a Staff Software Engineer, you will:

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

You won't:

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

You'll bring:

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

Nice to have:

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

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As a leader in aging care innovation, Honor empowers older adults to live life on their own terms. With a global franchise network and over 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

This is a senior individual contributor role that will lead a cross-functional project team to drive meaningful impact on our business. You will:

• Own the product strategy & roadmap for one or more of our focus areas, setting and delivering against metrics & KPIs aligned with company goals
• Develop a deep understanding of customer needs and business goals through strong analytics, direct observation, and collecting stakeholder feedback
• Identify and evaluate opportunities to leverage technology to accelerate future growth and improve customer outcomes
• Build deep relationships with stakeholders beyond the Product team to develop cross-functional solutions to critical company challenges
• Drive delivery across multiple concurrent initiatives aligned to strategic priorities

You will be successful if you:

• Take pride in your work; always pushing yourself and those around you to set (and achieve) ambitious goals, never settle for mediocrity
• Are comfortable operating in ambiguous environments and using judgment, data, and collaboration to move decisions forward
• Have strong data analytics skills (comfortable with SQL, Looker or other BI platform); able to ask the right question and determine the key takeaway with messy or incomplete information
• Are excited about leveraging generative AI to solve human behavior problems and enjoy spending your time learning about new technologies and applications
• Have strong written and verbal communication; comfortable clearly explaining product decisions, tradeoffs, and outcomes to executive audience in a written memo
• Demonstrate empathy and emotional intelligence when working with wide range of stakeholders, including but not limited to, clients, care pros, and cross-functional teams

We're looking for you to bring:

• Technical degree (engineering, economics, etc) or experience in a technical organization
• 10+ years experience in product management
• Experience working on a product to support a complex operational function or having direct operations experience, including rolling out large-scale operational & process changes in conjunction with product releases (and love this type of problem)
• Experience at a fast-growing, scrappy company

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers equity and 401K with up to a 4% match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

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

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

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

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

Why this role is unique:

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

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

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

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

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

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

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

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This includes ensuring that platform admins have intuitive controls for managing access and compliance, maintaining a secure and trustworthy environment for their data and AI operations, and providing clear, actionable insights into platform health and usage.

The impact you will have:

• Help design best-in-class monitoring and governance experiences at scale.
• Design unique interactions that will help administrators understand vast amounts of telemetry data.
• Explore new ways in which Generative AI can enhance the platform experience and developer workflows.
• Develop a deep understanding of Databricks business objectives, the cloud and big data space, its users, and competition.
• Conduct user research to identify customer needs and pain points related to data science and platform usage.

We are looking for a Senior Product Designer with 5+ years of experience in product design work, a bachelor's degree or equivalent, and a strong portfolio showcasing the end-to-end design process.

Key responsibilities include leading large and complex design projects, balancing the needs of diverse stakeholders, and executing beautiful visual and interaction work that's rooted in a data-driven and well-researched UX process.

Nice-to-have skills include experience in data visualization, analytics dashboards, or designing interfaces for complex data monitoring, as well as coding skills in React, SQL, CSS, and/or Python.

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Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. You'll own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, leveraging our Scale Generative Platform (SGP) to build the most advanced AI agents across the industry.

Responsibilities:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases.

Ideal candidate will have a love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, a strong engineering background, deep familiarity with a data-driven approach when iterating on machine learning models, and experience working with cloud technology stack and developing machine learning models in a cloud environment.

Nice to have: strong knowledge of software engineering best practices, experience building applications taking advantage of Generative AI in real, production use cases, and familiarity with state of the art LLMs and their strengths/weaknesses.

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

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

As a Senior Machine Learning Platform Engineer, you will:

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

What we look for in you:

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

Nice to haves:

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

Job ID: P75535

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

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

We're seeking a Senior Staff Software Engineer to serve as Coinbase's Solana Staking Protocol CTO , the definitive technical authority on all things Solana staking across the company.

This is not a typical engineering role. You will combine deep Solana protocol mastery with strategic technical leadership to shape Coinbase's Solana staking trajectory for years to come.

You will own the technical strategy across validator operations, staking integrations, and protocol evolution , partnering directly with engineering leadership, product teams, and external ecosystem players including the Solana Foundation.

You will represent Coinbase on the world stage as a recognized Solana expert, speaking at conferences, engaging with the validator community, and influencing protocol direction.

Internally, you will be the go-to expert for any Solana staking technical decision, from runtime-level optimizations to cross-product integration strategy.

Responsibilities

Define Solana Staking Strategy

Own and drive Coinbase's multi-year technical strategy for Solana staking across validator performance, protocol participation, and product integration.

Connect engineering decisions to business outcomes including yield optimization, cost efficiency, and customer growth.

Maximize Validator Performance

Lead the engineering effort to achieve industry-leading APY through validator optimization , including vote accuracy, block production, MEV strategies, commission tuning, and stake distribution.

Build systems and tooling that give Coinbase a durable performance edge.

Own Protocol Expertise

Serve as Coinbase's foremost authority on the Solana runtime, consensus mechanism, staking economics, and validator client landscape (Agave, Firedancer, etc.).

Evaluate protocol upgrades (e.g., SIMD proposals), assess risks, and proactively position Coinbase for changes before they land.

Drive Cross-Product Integration

Partner with Retail Staking and Institutional Staking product and engineering teams to architect scalable staking integrations across Coinbase's product surface area.

Ensure Solana staking is deeply embedded and differentiated in every Coinbase staking product.

Build External Presence & Influence

Represent Coinbase in the Solana ecosystem.

Maintain deep relationships with the Solana Foundation, core development teams, other major validators, and ecosystem partners.

Speak at major conferences (Breakpoint, etc.) and contribute to protocol governance.

Be Coinbase's voice on Solana staking.

Lead Technical Execution

Write production code.

Design and build critical infrastructure for validator operations, monitoring, automation, and reliability.

Set the technical bar for the team , code reviews, architecture decisions, incident response.

Expand Beyond Staking

Serve as a technical advisor on non-staking Solana initiatives where deep protocol knowledge is required (e.g., Solana tax infrastructure, token programs, new Solana-based products).

Mentor and Scale the Team

Elevate a team of strong engineers (IC4-IC5) through mentorship, architectural guidance, and raising the bar on Solana-specific domain expertise.

Define what great Solana engineering looks like at Coinbase.

Requirements

Deep Solana Protocol Expertise

You have extensive, hands-on experience with Solana's architecture , Eg: the runtime, validator mechanics, staking economics, consensus (Tower BFT), turbine, Gulf Stream, and the validator client ecosystem.

You understand Solana at the source-code level, not just the API level.

Technical Authority & Execution

You are a strong IC7-caliber engineer.

You design and build complex distributed systems.

You write production code in Rust and/or Go.

You have deep experience with infrastructure at scale , bare metal, cloud, networking, observability.

Strategic Vision

You can define year-long technical strategies and connect them to business goals.

You break down ambiguous, large-scope problems into executable plans with measurable milestones.

You think in terms of competitive advantage, not just engineering correctness.

Ecosystem Presence & Influence

You are a known figure in the Solana ecosystem.

You have existing relationships with the Solana Foundation, core contributor teams, and major validators.

You have a track record of public speaking, community engagement, or protocol governance participation.

Cross-Functional Leadership

You partner effectively with product, business, and executive stakeholders.

You translate complex protocol dynamics into business-relevant terms for non-technical audiences.

You drive alignment across multiple teams and functions.

Passion for Solana

This isn't a role for a generalist who happens to know some Solana.

You are genuinely passionate about the Solana ecosystem, follow protocol developments closely, and have a strong thesis on where Solana staking is headed.

Ability to Responsibly Use Generative AI Tools

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to Have

Core Contributor to Solana Validator Clients

Core contributor to Solana validator clients (Agave, Firedancer) or significant Solana ecosystem projects.

Experience Operating in Highly Regulated Industries

Experience operating in highly regulated industries or security-first cultures.

Background in Financial Services

Background in financial services, fintech, or crypto custody.

Track Record of Publishing Technical Content

Track record of publishing technical content (blog posts, research, conference talks) on Solana or Blockchain in general.

Experience with Solana's Evolving Staking Landscape

Experience with Solana's evolving staking landscape , liquid staking, stake pools, restaking protocols.

Familiarity with Other PoS Protocol Staking Operations

Familiarity with other PoS protocol staking operations (Ethereum, Cosmos ecosystem) for comparative perspective.

Pay Transparency Notice

Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental)

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

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

As a Senior Solutions Architect, you will work directly with customers, from startups to large institutions, as a trusted technical advisor, and also contribute to open source projects and extend Coinbase’s core products to unlock strategic client opportunities.

Responsibilities:

Partner with customers as a trusted technical advisor, guiding them in building on Coinbase services and APIs Collaborate with prospects and sales teams to address technical requirements and support deal closure Architect and implement distributed systems solutions that address complex customer needs Build and maintain open source SDKs and reference implementations Deliver clear, engaging technical presentations and documentation Oversee customer implementations, proactively identifying and resolving technical roadblocks Maintain and grow long-term customer relationships as they expand their use of Coinbase products Work closely with product and engineering teams to extend core capabilities for strategic client opportunities Collaborate with support teams to ensure customer success

Requirements:

Degree in computer science and 5+ years of software engineering experience Ability to quickly understand requirements and rapidly develop solutions Proven ability to design and build solutions to complex, ambiguous problems with significant impact Familiarity with both modern and legacy integration approaches Track record of working effectively with demanding cross-functional stakeholders Excellent communication skills with the ability to distill complex needs into actionable recommendations Strong ownership mindset with the ability to operate autonomously Experience leveraging AI to scale and enhance your contributions Expert-level knowledge of REST and WebSocket APIs Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality

Nice to have:

Experience with Golang and/or Ruby Experience with blockchains / crypto Experience with trading systems

Pay Transparency Notice:

Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $180,370-$212,200 USD

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The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development.

Responsibilities:

• Develop enterprise-grade solutions that leverage cutting-edge AI to drive business value at world-class companies across many industries.

• Work with executives at Scale and our customers to determine and execute the product strategy of the business.

• Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches.

• Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance.

• Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the industry.

Ideal Candidate:

• Technical degree in computer science, engineering, or equivalent experience.

• 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus.

• Strong understanding of generative AI technologies and their applications in enterprise settings.

• Experience operating in a fast-paced environment with high ambiguity.

• Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams.

• Some coding experience (Python).

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

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Key responsibilities include:

• Drive strategy that fields safe and secure performant agents on embedded warfighting compute.
• Manage a cohort of cleared machine learning engineers, researchers, and product managers.
• Provide deep technical leadership to team on design, development, and deployment of advanced AI solutions.
• Leverage and shape the world's largest defense robotics data set to develop cutting-edge AI capabilities.
• Coordinate with internal testing and evaluation team(s) to design specialized evaluation benchmarks for defense use-cases.
• Partner with US-based Frontier AI Labs to revolutionize the employment of autonomy in embedded hardware.

Required qualifications include:

• Management experience leading and growing AI/ML teams.
• Experience deploying AI-technologies into classified environments (e.g., disconnected, air-gapped, etc.).
• Expertise in deep learning techniques and the latest generative AI technologies (Agents, Vision-Language Action models, etc.).
• Strong programming skills.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

Preferred qualifications include:

• Experience with edge-deployed ML systems.
• Prior work in Defense Tech and/or Start Ups.
• Active U.S. Top Secret SCI security clearance.

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Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. You'll own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, leveraging our Scale Generative Platform (SGP) to build the most advanced AI agents across the industry.

Responsibilities:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry, including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases

Ideally, you'd have:

• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

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

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

As a Blockchain Security Engineer on the Decentralized Financial Security Team, you will work closely with engineers, technical product managers and senior leadership on designing secure products from the ground up.

You will be responsible for performing secure design reviews, threat modeling, vendor reviews, working with vendors, and secure code reviews for upcoming Coinbase products or features that will be used by millions of customers.

You will have an opportunity to work on the latest technology and provide leadership visibility of the current risk posture.

You’ll also have an opportunity to pitch, lead and participate in cross-functional initiatives that uplevel the security of all Coinbase products and services.

To be completed by all business teams except Eng:

Perform design reviews, threat modeling and code reviews of upcoming features and products.

Identify top product risk areas and lead risk-reduction initiatives with cross-functional teams.

Improve and/or automate existing processes to increase efficiency, utilizing agentic/AI tooling.

Create monitoring solutions to ensure identified risks remain at acceptable levels for Coinbase.

Participate in the team on-call rotation to support engineering teams through timely design consultations, vulnerability analysis, bug fix verification, etc.

Publish blogs and give talks (internal and external) on newfound vulnerabilities, incident investigations, unique integration risks, and related topics

To be completed by all business teams except Eng:

Strong understanding of blockchains (particularly EVM chains) and highly “crypto forward”

Expertise in blockchain technology and foundational knowledge in security principles

2+ years of threat modeling/design review experience

Strong communication skills with the ability to translate technical security requirements and risks into terms that anyone can understand.

High ownership and drive, including the ability to work independently and unblock yourself.

Experience with using AI/agentic tooling (Claude Code, Cursor, GPT Codex, etc.)

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

MS or PhD in Computer Science or related field.

Experience in at least one of: Snowflake, Databricks, Dune.

Experience automating manual processes or carrying out process improvements.

Experience in Blockchain, Exchange, or Decentralized Exchange Security.

Job ID: P76318

#LI-Remote

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$152,405-$179,300 USD

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

We're seeking a Country Director for Canada to own the region’s overall strategy and business performance.

As a senior leader, you will drive cross-functional execution across Product, Policy, and Marketing to launch locally relevant initiatives that accelerate user growth and revenue.

Blending executive leadership with regulatory advocacy to build a high-performing team and secure Coinbase’s long-term market position in Canada.

Responsibilities:

• Own and drive Coinbase’s overall business performance in Canada, with accountability for user growth, revenue, and long-term market position

• Define and execute the country strategy, identifying high-impact growth opportunities grounded in market, regulatory, and competitive analysis

• Partner with Product, Engineering, and Design to shape and launch locally-relevant products, ensuring strong product-market fit within regulatory constraints

• Lead cross-functional execution in partnership with Marketing, Business Development, Legal, Compliance, and Policy to deliver Canada-specific initiatives at speed

• Play a senior leadership role in regulatory and policy engagement, helping unlock new products and ensure ongoing compliance with Canadian requirements

• Build, hire, and develop a high-performing local team, while reinforcing Coinbase’s mission, values, and operating standards

• Serve as a senior representative of Coinbase in Canada, engaging with regulators, key partners, clients, media, and industry forums as appropriate

• Act as a connective tissue between Canada and global teams, ensuring alignment with global priorities while advocating for local needs

• Communicate clearly and credibly with executives and cross-functional leaders, synthesizing complex issues into actionable insights and decisions

What we look for in you:

• Senior leadership experience (CEO, COO, GM, Founder, or equivalent) leading and scaling a fintech business in Canada, with measurable impact on revenue and/or active users

• Completion of the Canadian Securities Institute (CSI) – Partners, Directors and Senior Officers Course (PDO) and a minimum of 5 years’ experience in the financial services industry

• Deep understanding of the Canadian regulated financial services ecosystem, including experience operating under regulatory oversight

• Proven track record partnering with Product, Marketing, and Business Development to build, launch, and scale products in regulated environments

• Direct experience engaging with regulators and policy stakeholders, with the ability to balance constructive relationships and commercial outcomes

• Strong understanding of how regulated financial institutions operate across functions such as Compliance, Risk, Finance, Treasury, Audit, and third-party oversight

• Comfortable operating in a remote-first, globally matrixed organization, aligning local execution with global standards

• Highly pragmatic and solutions-oriented, with a bias toward action and continuous improvement

• Exceptional written and verbal communication skills in English, with the ability to influence senior stakeholders and external audiences

• Structured, analytical problem-solver who can navigate ambiguity and make sound decisions with imperfect information

• Strong interest in crypto and blockchain (prior expertise helpful but not required), with curiosity and conviction about the space’s future

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality

Nice to haves:

• Previous experience working in a multinational / US-headquartered business

• Experience with retail-oriented payments, trading, or brokerage platforms

• Previous work experience or personal interest in crypto/blockchain space

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus): $281,200-$281,200 CAD

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This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

If you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context, you may be a good fit for this role.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

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Design at Gusto Design at Gusto is made up of over 80 creative, collaborative people who care deeply about our mission to empower small businesses and their employees. We're a cross-functional group that is always looking for opportunities to build understanding and empathy for the people who use Gusto.

About the Opportunity Brand design is where our identity comes to life. Visual craft, consistency, and clarity aren't finishing touches,they're the work. They're how we earn trust, convey confidence, and make people feel something. Gusto is growing our in-house creative studio inside our fast-moving, late-stage startup. We design campaigns, brand systems, and multi-channel marketing assets,partnering closely with marketing, product marketing, and comms to bring Gusto's brand to life across every touchpoint.

Responsibilities

• Define and maintain quality standards for AI-generated brand work (establishing what passes, what fails, and why) so the team can move fast without drifting from the brand.
• Demonstrated ability to evaluate AI-generated creative work critically,knowing when to use it, when to redirect it, and how to articulate why a generated direction fails Gusto's brand standards.
• Has established or contributed to AI creative governance: what the team will and won't use AI for, how to QA AI outputs, and how to maintain brand integrity at higher production volumes.
• Manage, mentor, and develop a small team of brand and motion designers,setting expectations, providing feedback, and supporting career growth.
• Set creative direction and maintain visual quality across campaigns, paid media, email, web, social, experiential and product marketing.
• Build and maintain scalable design systems, templates, and brand guidelines.
• Partner closely with marketing, product marketing, comms, and creative leadership to prioritize work and translate strategy into visual execution.
• Define and improve team workflows, processes, and production standards to scale creative output.
• Track record of raising quality standards in an environment where AI is accelerating output , and keeping the bar high when the temptation is to ship faster and evaluate less.
• Contribute directly to creative work when needed, maintaining a strong connection to the craft.

Requirements

• 8+ years of professional brand design experience spanning campaign, marketing, and brand systems work.
• 2–4+ years of direct people management experience leading brand or production designers.
• A portfolio demonstrating strong craft, brand-building work, and range across multi-channel marketing.
• Expertise in Figma and Adobe Creative Suite; familiarity with motion tools a plus.
• AI fluency in creative workflows and processes, with hands-on familiarity with generative AI tools for design, ideation, and production.
• Experience building and maintaining scalable design systems and templates.
• Strong cross-functional collaboration skills in fast-paced, high-output environments.
• A leadership mindset,you enjoy developing people and building systems, not just making the work yourself.

Compensation Details At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto).

Our cash compensation range for this role is $172,000/yr to $215,000/yr in Denver & most remote locations, and $202,000/yr to $253,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

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In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement

Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces

Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation

Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels

Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements

Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces

Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics

Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

Required

5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs

Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist

Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination

Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations

Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity

Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings

Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred

Familiarity with the AI/ML ecosystem , including how model distillation, fine-tuning, and synthetic data generation work in practice, and how actors attempt to obscure this activity

Experience conducting threat actor profiling or open-source investigations in a trust & safety, intelligence, or legal context

Experience working with generative AI products, including using AI tools to accelerate investigative and analytical workflows

Background or interest in AI policy, IP enforcement, competitive intelligence, or AI governance

Experience coordinating with external enforcement partners or platform partners on escalated enforcement actions

Education: At least a Bachelor's degree in a relevant field, or equivalent experience.

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: $230,000-$270,000 USD

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You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.

All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.

Key responsibilities include:

• Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions

• Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous

• Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains

• Leading a cross-functional team to exceed the customer’s AI/ML objectives

• Supporting and partnering across B2B and B2G organizations to achieve the outcomes in delivering the greater layered defense for the United States

We have a diverse team with a variety of skill sets, many have:

• 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.

• A proven track record in B2B or government client-facing roles and expanding client relationships

• Prior experience leading engagements with government customers

Must-haves include:

• An active TS/SCI clearance

• Minimum of 3 years of work experience leading teams / programs in industry or government

• A basic understanding of ML operations process

• A track record of structured, analytics-driven problem-solving

• Excellent verbal and written communication skills

• Willingness to travel at least 25% of the time

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

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

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

As an Institutional Account Manager, you’ll join a dynamic, collaborative team of professionals whose performance is critical to Coinbase achieving its mission.

You will serve as a subject matter expert for Coinbase’s institutional suite of products, providing world-class service and support to our most valued institutional clients.

Diligent, customer-focused, and with a bias towards action, you will play a crucial role in the success of the Sales, Trading and Prime organization as we help build the crypto economy.

Responsibilities:

• As an Account Manager, you will be responsible for supporting some of Coinbase Institutional’s highest priority clients and working on initiatives to deliver an excellent client experience.

• You will partner with Senior Account Managers and Management to help support large and complex relationships across client segments including asset managers, banks, corporates and more.

• Understand complex, multi-product client workflows and strategies to ensure that our institutional clients are integrated appropriately and use our product suite efficiently with a focus on Coinbase Prime.

• This role will involve you working closely with cross-functional partners including Sales, Trading, Legal, Compliance and Operations to onboard clients and ensure they are supported across our full institutional product suite.

• You’ll provide a best-in-class experience for our clients through effective stakeholder management, conclusive prioritization, and efficient execution across initiatives.

• Effectively triage, manage, and prioritize incoming client requests. Handle requests through to resolution with limited support, including delegating across teams of subject matter specialists.

• Facilitate product demo calls, serving as subject matter specialist on product features in partnership with Sales.

• Distill client feedback to internal teams including Operations, Engineering, and Product when surfacing feature requests and manage client expectations.

• Manage client-related and team projects diligently and efficiently driving towards results that deliver on the client experience and efficiency.

What we look for in you:

• 4+ years of experience in the institutional client relationship space.

• Exceptional verbal and written communication skills with a focus on influencing outcomes.

• Ability to foster trusted and lasting relationships with clients and internal stakeholders to deliver results.

• Understanding of risks across key functions and workflow to identify issues and concerns.

• Organized and independent working style to enable you to manage your book of clients effectively.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to have:

• Digital Assets experience & knowledge.

• Prior Prime Brokerage experience.

• Professional fluency in Mandarin is desired.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

$178,700-$178,700 SGD

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

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

As an Enhanced Due Diligence (“EDD”) Analyst, you will be responsible for performing due diligence on retail high risk customers.

You will be responsible for performing enhanced due diligence for new onboarding cases as well as during trigger events and periodic EDD refresh for existing customers.

You will analyze customer information in line with defined processes and procedures and summarize the findings/facts/information to recommend appropriate next steps.

What you’ll be doing:

• Minimum of 2 years of relevant experience in financial services, crypto, investigations, legal, or the tech industry, with a focus on EDD/KYC, compliance, or regulatory matters.

• Conduct investigative review and analysis in support of company’s BSA/AML regulatory compliance policies and programs including investigating automated alerts from our transaction monitoring systems, and referrals sourced from law enforcement requests and other company lines of business

• Gather and analyze transaction activity and KYC information and conduct due diligence research in support of investigations as well as interpret evidence from external tools and systems to determine the legitimacy of customer behavior across multiple products

• Document investigations in appropriate channels and in written narratives as necessary

• Incorporate feedback from Quality Assurance Team

• Maintain detailed documentation to demonstrate compliance with regulations and internal policies and procedures

• Remain current with industry standards and developments in the areas of KYC, BSA/AML, and OFAC, and apply regulatory requirements and internal policies and procedures to investigations

• Review data from systems and following Coinbase procedures to investigate, decide, and document identifiable alerts

What we look for in you:

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

• Strong interpersonal, analytical, and communication (verbal and written) skills

• Experience working with Google Sheet, Google Doc, Excel, Word

• Flexible and adaptable to the evolving needs of a high-growth and fast-paced organization environment

• Ready to support in 24*7 environment

• Organized with a High level of attention to detail

Nice to haves:

• Professional certification in AML or Fraud (e.g. CAMS, CFCS, CFE)

• Experience in project management, analytics, or vendor management

• Advanced degree in business, finance, or customer experience (CX)

• Proficiency with tools such as Google apps, JIRA, Hummingbird, and Salesforce Service Cloud.

• Experience collaborating with external outsource business partners

Position ID: P76278

#LI-Onsite

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus): €60.000-€60.000 EUR

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

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

As a Senior Product Manager, you will be responsible for leading the Trading Growth strategy for the Base App.

Your primary mission is to increase monthly active transacting users and trading market share by driving user acquisition, engagement, and retention.

Key Responsibilities:

• Own the Growth Engine: Lead the strategy and execution for acquisition and retention loops, including referral/affiliate programs, win-back flows, and gamification mechanics.

• Optimize Core Trading: Own end-to-end development for trading experiences.

• Master the Engagement Loop: Co-own high-intent systems like Watchlists and Price Alerts with the Trading team, using them as hooks to drive users back into the app via a sophisticated, ML-driven push notification and CRM strategy.

• Experiment at Scale: Drive a rigorous data-driven culture by running A/B tests on onboarding funnels, abandonment flows, and notification delivery to continuously improve conversion and execution quality.

• Build Growth Infrastructure: Oversee the “Growth Platform,” including the ML/policy layer for intelligent notifications, attribution tracking for paid marketing, and the Activity Tab UX.

• Cross-Functional Leadership: Collaborate with Engineering, Design, and Data Science to balance “0-to-1” trading primitives with “1-to-N” growth optimizations.

Requirements:

• 7+ years of Product Management experience, specifically within consumer-facing fintech, exchange, or onchain trading environments.

• Growth Mastery: Proven track record of scaling products via lifecycle marketing, referral loops, and retention mechanics.

• Trading Sophistication: Deep understanding of market structure, order types, execution quality, and liquidity.

• Analytical Rigor: Deep experience with data-driven development,defining North Star metrics, navigating attribution complexity, and running high-velocity experiments.

• Entrepreneurial Execution: The ability to thrive in high-ambiguity environments, making tough trade-offs to ship high-quality products on time.

• AI Fluency: Demonstrated ability to integrate generative AI tools into your daily workflow to increase efficiency and deliver business-ready outputs.

Nice to Haves:

• Direct experience contributing to or collaborating with onchain protocols and decentralized communities.

• Experience in brokerage or market-making environments (clearing, settlement, or microstructure)

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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You will help define best practices for developers building on claude for deployment to users across different developmental stages, design age-assurance policies that protect minors from inappropriate content and interactions, and establish clear boundaries for adult content and experiences. In addition, you will advise teams on opportunities for age-appropriate helpfulness, including advising cross-functional teams on beneficial use cases for younger users where appropriate.

Safety is core to our mission and you’ll help shape policy creation and development so that our users can safely interact with and build on top of our products in a harmless, helpful and honest way.

Responsibilities:

• Serve as an internal subject matter expert, leveraging deep expertise in child safety, adult content, youth development, and age-appropriate design to:

• Draft new policies that help govern the responsible use of our models for emerging capabilities and use cases

• Design evaluation frameworks for testing model performance in areas of expertise

• Conduct regular reviews and testing of existing policies to identify and address gaps and ambiguities

• Review flagged content to drive enforcement and policy improvements

• Update our usage policies based on feedback collected from external experts, our enforcement team, and edge cases that you will review

• Work with safeguards product teams to identify and mitigate concerns, and collaborate on designing appropriate interventions for users across different age groups

• Advise on age assurance approaches and content classification frameworks in partnership with Enforcement, Product, Engineering, and Legal teams

• Educate and align internal stakeholders around our policies and our approach to safety in your focus area(s)

• Keep up to date with new and existing AI policy norms, regulatory requirements (e.g., age-appropriate design codes), and industry standards, and use these to inform our decision-making on policy areas

Requirements:

• As a researcher, subject matter expert, or trust & safety professional working in one or more of the following focus areas: child safety, youth online safety, age assurance, developmental science, content classification and rating systems, or adult content policy.

• Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions

• Designing or implementing age-appropriate experiences, age assurance mechanisms, or content classification / labeling systems

• Working with generative AI products, including writing effective prompts for policy evaluations and classifier development

• Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams

• Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space

• Thinking creatively about the risks and benefits of new technologies, and leveraging data and research to inform policy recommendations

• Navigating and prioritizing work efforts amidst ambiguity

Salary:

$245,000-$285,000 USD

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

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

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

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

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

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

Responsibilities:

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

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

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

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

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

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

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

What We Look For In You:

• At least 7 years of experience in software engineering.

• At least 2 years of engineering management experience.

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

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

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

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

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

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Prior experience leading a Platform or similar domain team.

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

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

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

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

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

Job #: P76571

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$218,025-$256,500 USD

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We're seeking a Counsel, Commercial (Institutional Legal) to join our Institutional Legal team covering U.K. markets and professional trading clients including banks, brokers, hedge funds, market makers corporates and other professional traders.

As a Counsel, Commercial (Institutional Legal), you will be responsible for negotiating first-of-a-kind, highly-tailored agreements with strategic partners and sophisticated counterparties in the finance, payments and digital currency space.

You will provide full product life-cycle counseling for a variety of global prime brokerage, custody and derivatives related products, and practical advice on associated legal issues and risks, complex agreement structures and company policies in a risk-tolerant, but compliance-oriented environment.

You will stay abreast of and advise on digital currency and blockchain technology legal and regulatory issues.

You will lead and assist with complex and global cross-functional efforts, driving and ensuring cross-functional alignment with other stakeholders (Institutional Sales, Business Development, Product/Engineering, Finance/Tax, Compliance).

You will effectively collaborate with those same cross-functional teams and legal colleagues to solve problems, build partnerships, and close deals quickly.

You will proactively solve problems for the business as they plan and execute on an aggressive global growth plan, develop scaled strategies for addressing risk in business-centric ways and build commercial processes that allow the business flexibility and freedom to move quickly.

You will look around corners and creatively solve problems for the business as they plan, build, and execute their transactional and product roadmap.

You will be a business partner, not just a lawyer.

We are looking for a lawyer with solid product development, regulatory and negotiation skills preferably developed within the traditional prime brokerage, securities financing, and/or derivatives sectors.

A sense of curiosity, flexibility and adventure combined with the desire to make an impact at the intersection of crypto and traditional global markets is essential.

Key responsibilities include: Negotiating first-of-a-kind, highly-tailored agreements with strategic partners and sophisticated counterparties in the finance, payments and digital currency space. Providing full product life-cycle counseling for a variety of global prime brokerage, custody and derivatives related products, and practical advice on associated legal issues and risks, complex agreement structures and company policies in a risk-tolerant, but compliance-oriented environment. Staying abreast of and advising on digital currency and blockchain technology legal and regulatory issues. Leading and assisting with complex and global cross-functional efforts, driving and ensuring cross-functional alignment with other stakeholders (Institutional Sales, Business Development, Product/Engineering, Finance/Tax, Compliance). Effectively collaborating with those same cross-functional teams and legal colleagues to solve problems, build partnerships, and close deals quickly. Proactively solving problems for the business as they plan and execute on an aggressive global growth plan, develop scaled strategies for addressing risk in business-centric ways and build commercial processes that allow the business flexibility and freedom to move quickly. Looking around corners and creatively solving problems for the business as they plan, build, and execute their transactional and product roadmap. Being a business partner, not just a lawyer.

Requirements include: Licensed attorney with at least 5 years experience working in a financial services institution (e.g. bank, e-money issuer, payment service firm, broker dealer / asset manager) or in a law firm supporting such clients. Strong negotiation skills and ability to review and negotiate financial agreements (e.g. prime brokerage, lending and derivatives documentation). Strong history of commercial and transactional legal work. Interest in digital currency and blockchain technology. Experience working and leading with cross-functional, globally located teams. Familiarity with US and/or EU or UK regulatory regimes applicable to financial instruments. Comfortable challenging the status quo and preconceived notions of what is possible. Excellent judgment, analytical rigor, clear communication, and business pragmatism. Top-notch analytical skills with experience owning projects from concept to finish. Creativity, comfort and experience with oral solutions that help scale financial services businesses and technology solutions that help scale practices. Sound and practical business judgment. Intellectual curiosity and flexibility. Attention to detail and focus on process ownership from start to finish. Team-oriented and collaborative. Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. Nice to have: Experience working with product teams launching fintech, financial services, investment or similar products. Experience registering and perfecting collateral arrangements. Experience with bankruptcy rules and regulations. Experience with cross-border analysis. Experience with Edgar and analyzing regulatory filings.

Salary: £99,360-£110,400 per annum.

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

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

The U.S. Withholding Tax Associate Manager will be an integral part of the Coinbase tax team, supporting the day-to-day operations of the U.S. withholding tax function, including backup withholding and nonresident alien (NRA) withholding.

This role will focus on ensuring Coinbase's compliance with U.S. withholding tax requirements and collaborate cross-functionally with product, platform, and data teams to drive continuous process improvements.

Key responsibilities include:

• Ensuring accurate application of backup withholding and NRA withholding rates on reportable transactions
• Monitoring and ensuring timely withholding tax deposits in accordance with IRS requirements
• Reconciling withholding tax liabilities and supporting preparation of Form 945 and Form 1042
• Monitoring withholding rate changes and coordinating system updates accordingly
• Tracking and responding to IRS notices including B-notices, C-notices, and withholding tax assessments
• Supporting withholding tax audits and tax authority requests
• Researching and analyzing U.S. withholding tax developments and assessing impact on Coinbase operations
• Identifying and implementing improvements to withholding tax processes and procedures
• Responding to inquiries from product, onboarding, and customer support teams regarding U.S. withholding tax requirements
• Partnering with product and data teams on system requirements and business rules for withholding tax processes
• Supporting customer service teams through internal education and customer escalations related to withholding tax
• Coordinating across departments including product, data analytics, onboarding, customer service, and communications

To be successful in this role, you will need:

• A Bachelor’s degree in Finance, Accounting, or similar field
• 4-7+ years of experience in U.S. withholding tax, ideally with a bank, broker-dealer, large financial institution or multinational or Big 4
• Strong technical knowledge of backup withholding (IRC Section 3406) and NRA withholding (IRC Sections 1441-1446)
• Experience with U.S. withholding tax deposits, reconciliations, and filings (Form 945, Form 1042)
• Familiarity with IRS notice processes, including B-notices and C-notices
• Experience with withholding tax systems and tools
• Experience with withholding tax system implementations or process automation
• Excellent written and verbal communication skills, with the ability to explain withholding tax requirements to both tax and non-tax audiences
• Strong attention to detail and process orientation
• Collaborative mindset and positive attitude
• Willingness to adapt and learn in a fast-paced environment
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality

Nice to have:

• Experience with data analytics tools such as Snowflake, Looker, or similar platforms for withholding tax reconciliation and reporting
• IRS withholding tax audit or examination experience
• Basic knowledge of SQL for data extraction and analysis
• Experience with withholding tax system implementations or process automation

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $130,900-$154,000 USD

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You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence.

This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions.

Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.

Some examples of our projects:

• Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality

• Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale

Responsibilities

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities

• Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance

• Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI

• Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform

• Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations

• Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices

• Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt

• Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

Requirements

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models

• Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow

• Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders

• Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility

• Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI

• Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling

• Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way

• Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains

About the Team

The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform.

You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working.

The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.

How GitLab Supports Full-Time Employees

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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This includes managing M&A processes, analysing industry trends, assessing competitive landscapes, identifying investment opportunities, and supporting marquee fundraising initiatives. This person will work cross-functionally with a variety of stakeholders at all levels of CoreWeave and have frequent opportunities to interact with and support key executive-level decision makers.

Optimally, this person will have previous experience with generative AI, technology, digital infrastructure, cloud infrastructure, data centres or similar verticals.

Key Responsibilities:

• Identify and evaluate M&A and direct investment opportunities based on industry knowledge, market situation, and financial analysis

• Develop, maintain, and analyse complex financial models to support M&A transactions, strategic investments, and other strategic initiatives

• Assist in all phases of transaction execution, including due diligence, valuation, documentation, and integration planning

• Collaborate with internal stakeholders, including finance, legal, operations, and senior executives to ensure alignment and successful execution of deals

• Support Strategic Finance, Investor Relations, Treasury, and FP&A on cross-functional Ad Hoc finance projects

• Assist in the preparation of company management presentations that deliver CoreWeave's investment thesis and growth strategy to external stakeholders

• Conduct comprehensive due diligence on M&A and investment targets, including financial, and operational analysis

• Monitor industry trends, competitive landscape, and market dynamics to identify opportunities and threats

• Collaborate with CDO, CSO and CFO to assist with highly impactful, complex, and visible projects, including scaled, complex equity and debt fundraising initiatives

• Complete special strategic projects and ad hoc modelling for senior executives as needed, such as projects regarding international expansion and JV partnerships

Who You Are:

• A bachelor's degree in finance, accounting, applied mathematics, economics, engineering, or an equivalent combination of education and experience

• Minimum of 2+ year(s) of experience in investment banking, private equity, private credit or similar roles

• Advanced analytical skills with an ability to perform quantitative and qualitative analysis on new ideas and concepts

Preferred:

• Excellent financial modelling and valuation skills, with a demonstrated track record of executing complicated financial analyses

• Effective verbal and written communication skills, with a preference for candidates that have demonstrably interacted with management or other executive-level stakeholders

• High level of self-sufficiency with proven success at self-teaching and a high intellectual motor

• Strong analytical, quantitative, and problem-solving skills

• Exceptional attention to detail, organisational skills, and ability to manage multiple competing priorities simultaneously

• Advanced proficiency with Microsoft Office Suite, particularly Excel and PowerPoint

• Understanding of M&A processes for both public and private transactions, including deal sourcing/structuring, due diligence, and execution, with a proven track record of contributing to closed deals

• Experience with modelling debt transactions (e.g., leveraged buyout models and private/public credit) preferred

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

• You love digging into complex financial problems and solving them with precision.

• You're curious about how AI, cloud, and digital infrastructure are reshaping the global economy.

• You're an expert in financial modelling, valuation, and supporting high-impact transactions.

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 organisation 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!

The base salary range for this role is $125,000 to $155,000. 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 programme (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 Programme (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

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

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, colour, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic

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This will give you the opportunity to have a meaningful impact with a diverse group of customers. You will uncover and optimise workflows and advanced use cases that power today's businesses. You will be driving all facets of success across the customer journey for Dropbox's most valued customers.

You will partner with the Account Manager team to support Dropbox business objectives, including driving customer retention and growth for Dropbox's expanding product portfolio. We are a collaborative, customer-oriented team, are 'worthy of trust' and strong advocates for our customers.

Responsibilities:

• Build and maintain strong relationships with customers as a trusted advisor throughout their journey with Dropbox
• Lead customer engagement efforts to drive deployment, product education, usage, adoption, and integration into daily workflows
• Drive increased product value realisation across the customer base and improved user advocacy
• Ensure customers achieve their desired outcomes through Mutual Success Plans and influence account growth in close partnership with Sales
• Proactively flag and collaborate with CX or Product teams to resolve customer issues efficiently
• Prepare and deliver Success Business Reviews, providing insights on adoption, planning, and product updates
• Maintain a deep understanding of Dropbox products and roadmap, promote new features, and serve as the voice of the customer internally
• Collaborate with internal teams such as marketing, product, and sales to ensure customer satisfaction, retention, and growth

Requirements:

• 5+ years of experience in B2B SaaS Customer Success, with a proven record of driving product deployment, increasing customer adoption, and improving retention
• Strong experience managing strategic customer relationships at large enterprises (2,000+ employees) with a collaborative and proactive approach
• Experience with e-signature API or other API products and integrations
• A technical aptitude with experience in communicating effectively at all levels
• Customer-oriented problem-solving and analytical mindset
• Possesses the ability to communicate with end-users, IT administrators, developers, and stakeholders at all levels
• A self-starter with demonstrated success navigating complex scenarios, leading cross-functional initiatives, and thriving in fast-paced, dynamic environments
• Positive, team-oriented mindset with the ability to contribute meaningfully to overall team culture
• Excellent collaboration skills and the ability to build strong, long-lasting relationships across teams and the organisation
• Bachelor's degree or equivalent experience required
• Flexibility to travel occasionally for global offsites and customer on-site meetings (generally less than 10% of the time)

Preferred Qualifications:

• Solid knowledge of generative AI and search infrastructure
• Experience with technical products like e-signature API, other API products or security products with strong experience with integrations for deployments
• Experience with integrations and AI tools
• Previous experience with CRM systems, paired with strong analytical and quantitative skills

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You will be a member of the user well-being team, with an initial focus on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

You may be a good fit if you have:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

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: $245,000-$285,000 USD

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

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

The SME L&D Trainer Lead Analyst is responsible for delivering comprehensive new hire onboarding, advanced cross-skilling and train-the-trainer sessions to significantly drive quality, performance, and operational excellence.

Training (30-50% travel required):

• Deliver comprehensive, interactive, and strategically aligned training sessions covering Premium & Priority support workstreams ensuring advanced comprehension and application.

• Deliver onboarding, and cross-skilling training and nesting support to ensure L&D consistently exceeds its KPIs and business SLAs.

• Establish and enforce high standards in training delivery for consistent knowledge transfer.

• Conduct Train-the-Trainer (TTT) masterclasses, certify and continually develop training facilitators, and participate in continuous development programs to uplift trainer quality.

• Collaborate with cross functional teams and work with L&D to enable the design and development of training materials and modules tailored to Premium & Priority Support.

• Drive recommendations of the design of onboarding, and cross skilling programs

• Ensure training content aligns with evolving regulatory requirements and internal policies proactively identifying potential gaps.

• Oversee and direct the identification and remediation of training gaps through advanced QA processes and performance analytics.

Operations:

• Proactively Identify opportunities to optimize existing processes and KPIs through strategic, cross-functional continuous improvement initiatives.

• Manage and prioritize the problems, ensuring submitted ideas are reviewed and acted upon within defined SLAs, and personally lead the implementation of critical solutions.

• Lead the Identification and execution of opportunities to eliminate, automate, and optimize (EAO) using advanced data analysis and predictive modeling.

• Initiate and lead collaborations with cross-functional teams to discuss proposed solutions, gain buy-in from stakeholders and coordinate their implementation with organizational impact.

• Submit tooling enhancement requests to relevant teams based on observations and testing.

• Collaborate with the Knowledge Management team on content updates and with L&D on training material revisions.

• Dedicate at least 10 hours per week to hands-on production roles to maintain expert-level SME knowledge of workflows and identify areas for improvement.

• Provide flexible and strategic support during workload spikes and work with the manager to define guardrails for production hours.

• Model an investigative mentality: utilize data and customer feedback to help address critical customer issues at the root cause and eliminate defects in the customer experience.

• Proactively identify customer needs before they become an issue to simplify the customer experience, reduce friction, and strengthen trust in Coinbase.

• Serve as a leading advocate for clear and impactful communication with internal and external partners to align on solutions and drive transformational results.

What we look for in you (ie. job requirements):

• Minimum 5+ years of professional experience in a related production role, demonstrating a solid foundation in industry practices with additional responsibilities, preferably training

• Expert-level and comprehensive knowledge of Customer Experience and customer service best practices, with specialized domain expertise.

• Proven track record of leading and implementing significant continuous process improvements within an organization, resulting in measurable business impact.

• Exceptional analytical capabilities coupled with strong problem-solving skills.

• Senior leadership-level communication skills with proven ability to effectively manage and engage stakeholders.

• Demonstrated ability to multitask efficiently and manage competing priorities effectively.

• Demonstrated proactive approach in suggesting and implementing organizational improvements.

• A strong commitment to continuous improvement and ongoing learning.

• Intermediate to advanced understanding of blockchain technology, web3 concepts, staking processes, ROI/staking rewards, self-custody, and cryptocurrency.

• High flexibility and adaptability to meet the evolving demands of a rapidly-growing, fast-paced organization.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality

Nice to haves:

• High level of proficiency in cryptocurrency and Coinbase products

• Previous experience in tech, crypto, finance, or fintech.

• Certification in process improvement methodologies such as Lean Six Sigma, Agile, etc.

• Experience with process modeling and mapping tools.

• Experience leading and developing remote or virtual teams and training initiatives.

• Proven ability to thrive in ambiguity and drive independent strategic initiatives, providing guidance to others

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You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realise business and social impact. This role requires hybrid work from our Mountain View office, with 2 days a week in person. This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program.

Responsibilities:

• Train and fine-tune large-scale Foundation Models to support various fintech product use cases
• Work with a large dataset, including structured and unstructured data
• Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
• Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc

Requirements:

• Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field
• Located in Mountain View, or have the ability to relocate there, for the duration of the internship
• Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large-scale models, Sequence Transformer models
• Interest in multimodal or multitask learning across structured, sequential, and behavioural data
• Familiarity with AI tools, harness engineering, agentic workflow, etc.
• Hands-on programming experience in Python and ML frameworks such as PyTorch
• Equipped with good verbal and written communication skills
• A background demonstrating strong problem-solving skills
• Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

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Brex is a finance platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you'll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex.

You'll go beyond building dashboards,you'll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership.

You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team's work.

This role sits at the intersection of analytics, analytics engineering, and business strategy.

You'll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you'll work

This role will be based in our San Francisco office.

We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.

We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740.

However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Key responsibilities include:

• Driving high-impact scientific work across GenAI-powered labeling and evaluation systems
• Identifying opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
• Developing prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
• Designing rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
• Partnering with engineering, product, and data science teams to shape roadmaps and productionize successful approaches
• Establishing strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
• Creating reusable methods and frameworks that can scale across teams and use cases

Requirements include:

• 10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data
• Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
• Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
• Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions
• Proven track record of writing high-quality code and using technical work to influence product or platform direction
• Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment
• Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities
• Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
• Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred

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

Relocation statement: This position is not eligible for relocation assistance.

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Reporting to the Group Product Manager (Growth Acquisition), you'll lead high-impact initiatives from ideation through delivery. You'll partner closely with Engineering, Data Science, and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners.

Key responsibilities include:

• Leading the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels.
• Driving clarity, alignment, and prioritization across a broad cross-functional team in an ambiguous, complex product area with substantial impact on top-line growth.
• Influencing senior stakeholders and contributing to long-term strategy for acquisition.
• Partnering closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing.

To succeed in this role, you'll need to demonstrate strong technical background, working knowledge of performance marketing mechanics, and strong analytical skills to define product strategy and drive decision making.

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As a Conversational Design, Demo Engineer, you will play a critical role in supporting pre-sales engagements through the design, analysis, and demonstration of Cresta’s AI capabilities. You’ll partner closely with Solution Engineers and Demo Engineering to craft compelling, high-quality conversational experiences that showcase Cresta’s value to prospective and existing customers. Your work will focus on establishing clear business cases for net new and upsell opportunities, using conversation design and data-driven assessments to highlight measurable impact.

Responsibilities: Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta’s value in real-world customer scenarios. Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments. Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion. Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight.

Qualifications we Value: Strong alignment with Cresta’s culture and values , driven by a genuine desire to make people’s lives easier, even in fast-paced and high-pressure environments. Demonstrates resilience, positivity, and ownership, with the ability to maintain energy and focus when workloads are demanding. Brings a growth mindset, remains coachable, and continuously seeks new ideas to improve collaboration, team dynamics, and collective progression.

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The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.

A typical day involves envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Your expertise should include a PhD/Master’s degree, preferably in CS, or equivalent experience, and 5-12 years of ML engineering experience, with ownership responsibility over large-scale software systems.

Experience with LLM driven chatbot and Agentic AI products would be a big plus.

Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations are also required.

Fluency in both English and Mandarin is essential.

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

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.

You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses.

This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our New York office.

We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.

We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.

Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.

Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.

Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.

Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.

Partner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.

Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

3+ years of experience in data analytics or a related role in a professional setting.

2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.

Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).

Experience with Python for data analysis, automation, or scripting.

Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).

Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.

Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.

Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).

Familiarity with dbt for data modeling and transformation.

Exposure to data pipeline orchestration tools (e.g., Airflow).

Experience in fintech, financial services, or payments.

Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000.

However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products
• Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

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.

Local Pay Range $166,000-$225,000 USD

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

We're seeking a Data Protection Engineer (L4) to help implement and maintain our data protection capabilities, ensuring the Coinbase ecosystem remains resilient against security threats.

You will contribute to our data protection strategy, helping to balance strong security controls with the speed of a decentralized tech environment.

You will focus on automating data protection operations, utilizing tools including LLMs and agentic AI, to build scalable Data Loss Prevention (DLP) solutions.

You will work with other teams to mitigate risk and ensure compliance with global regulations.

Job Duties:

• Support and expand data loss prevention capabilities to protect Coinbase ecosystem from sophisticated data security incidents
• Support execution of the long term strategy for the Data prevention program to harden security posture against data security threats
• Implement and maintain complex designs/controls across a decentralized tech environment to promote security without impeding the speed of business
• Implement and deploy Data Protection tools and technologies in concert with cross functional teams (ie. endpoint security, information technology, and others)
• Demonstrate operational efficiency across a wide array of DLP Engineering & Operations leveraging LLMs and agentic AI
• Bring an automation first mindset to champion and drive a more streamlined and scalable approach towards DLP operations
• Produce quantitative and qualitative metrics to apprise Data Protection Leadership of programmatic impact and challenges
• Collaborate across Security and Privacy Teams and lead cross functional data protection initiatives
• Collaborate with cross functional teams like engineering, product development, compliance to ensure timely remediation
• Work in concert with risk teams to measure control effectiveness and address changes in laws/regulations globally

Requirements:

• You are an experienced security engineer in the data protection space who can deliver measurable results
• You have the technical acumen to solve operational issues with an engineering solution
• You have direct experience testing, tuning, and implementing data prevention controls across multiple OS stack
• You are comfortable manipulating and orchestrating controls to address multiple operating systems (iOS / Chrome) and decentralized datasets
• You are adept at creating scalable processes, automating where possible, and leveraging ML/AI where feasible to maximize efficiency
• You can be trusted to be discreet and thoughtful while working cross functionally to mitigate risk
• You are actively aware of the insider threat landscape, and understand the legal, regulatory, and ethical considerations of working with sensitive data across a global enterprise
• You have experience working and building Insider Threat technologies (such as Security Information Event Management - SIEM, User Behavioral Analytics - UBA, Data Loss Prevention - DLP) and an understanding of investigations and/or the intelligence cycle
• You have excellent verbal and written communication skills. Other team members ask for your input to communicate clearly and concisely and you are comfortable composing briefs and assessments consumed by leadership
• Business acumen: Proven understanding of business dynamics, goals, and product strategy. Knowledge of how Security fits into Coinbase’s overall business.
• The ability to balance business needs, a sense of urgency, conflicting constraints, and shipping high quality and pragmatic solutions in a fast-moving and quickly-growing company.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to Haves:

• 3+ years of security engineering experience solving complex security challenges across enterprise-wide DLP Programs
• Solving operational problems leveraging engineering / automation first mindset
• Experience in Web3 and crypto forward organizations or traditional financial institutions

Experience Level: senior Employment Type: full-time Workplace Type: remote Category: Engineering Industry: Technology Salary Range: $144,500-$170,000 USD Required Skills:

• Experienced security engineer
• Data protection
• LLMs
• Agentic AI
• Data Loss Prevention
• Security Information Event Management
• User Behavioral Analytics
• Insider Threat technologies

Preferred Skills:

• Generative AI tools
• Copilots
• LibreChat
• Gemini
• Glean

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The ideal candidate will have deep knowledge of current privacy and technology trends, with a strong passion for data governance/management and AI/ML. They will have demonstrated experience in ensuring privacy-by-design principles are applied throughout the design, construction, and operation of digital products and services at scale.

Responsibilities include leading high-impact initiatives and defining technical requirements for compliance and the responsible use of technology at Airbnb. The candidate will work closely with the Chief Privacy Officer, Legal, and other Privacy & Data Security Team members, as well as engineering and data science teams.

Key responsibilities include:

• Collaborating with technical teams in the identification and effective management of company-wide risks to privacy and the responsible use of technology
• Leading definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with privacy and AI regulations
• Working with Legal, Data Science, Data Governance, and InfoSec to introduce Privacy by Design principles in company products and infrastructure
• Creating privacy training for technical roles, including data engineers, developers, and data scientists

Requirements include:

• 15+ years of total experience, with 5+ years of experience in technical program/project management or privacy engineering focused on building technology products and/or systems
• Deep understanding of large-scale, “Big Data” data stores and technologies
• Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment
• Solid understanding of Large Language Models (LLMs), Generative AI and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services
• Strong familiarity with Privacy Enhancing Technologies (PETs), such as various types of encryption, de-identification methods (e.g., k-anonymity, differential privacy), and AI/ML interpretability techniques (e.g., SHAP, LIME)

Preferred qualifications include:

• Professional certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or AI Governance Professional (AIGP) or equivalent
• BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a related field
• Experience with programming languages and tools commonly used in AI, such as R, Python and Github

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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

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

In this role, you will oversee and manage all aspects of Coinbase’s Compliance and Anti-Money Laundering Programs in Bermuda.

You will be responsible for managing the entity’s relationship with the Bermuda Monetary Authority and providing strategic advisory to our business and product teams on all types of Compliance issues.

This role will be supported by Coinbase’s global Compliance infrastructure, and report to the Head of Institutional Compliance.

Responsibilities:

• Identify relevant regulatory requirements for Coinbase Bermuda and ensure Coinbase’s ongoing compliance with the same.

• Keep ahead of regulatory developments in Bermuda that could impact Coinbase’s business and deploy necessary changes to maintain compliance in partnership with internal stakeholders.

• Provide regular updates to Bermuda senior management and the Coinbase Bermuda Board of Directors regarding the Compliance Program and overall regulatory landscape.

• Ensure appropriate escalation of compliance incidents or material issues to Compliance and business leadership and the Board.

• Oversee / manage regulatory notifications, comment letters, and other communications as required.

• Handle day-to-day regulatory communications.

• Oversee execution of Compliance Risk Assessments to ensure the adequacy of systems and controls to ensure that risks are managed effectively.

• Ensure that policies are updated to meet changing regulatory and business requirements.

• Oversee deployment of relevant Compliance training for local employees.

• Ensure timely remediation of all relevant findings identified by third-parties (Internal Audit, regulatory exams), as well as self-identified items.

• Partner with Compliance and Product stakeholders to ensure compliance obligations are considered and built as part of new product or expansion initiatives.

• Ensure appropriate documentation, including updating policies and procedures as needed.

• Manage and develop global relationships with key internal stakeholders and senior management in order to promote a consistent approach to the development and execution of an effective and integrated control environment.

Requirements:

• 8+ years experience in compliance, including in senior leadership roles.

• Direct, first-hand knowledge of financial services and anti-money laundering regulations in Bermuda, including direct experience liaising with Bermuda Monetary Authority.

• Ability to independently manage day-to-day aspects of a Compliance Program, including audits and exams.

• Experience building Compliance Programs.

• Experience in developing and administering internal controls and processes, proven track record of partnership and collaboration with remote, global teams.

• Ability to work collaboratively with a broad range of business functions, with an emphasis on senior management.

• Demonstrated ability to generate and execute strategies across a global organization.

• Ability to develop, foster and maintain effective working relationships with diverse groups of people within the organization as well as with external stakeholders and vendors.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Prior experience at cryptocurrency or fintech preferred.

• A professional compliance or finance qualification, and membership of a recognized professional body.

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What you'll do at Figma:

• Drive fundamental and applied research in AI.
• Explore the boundaries of what is possible with the current technology set to build best in class models for Figma's domains.
• Combine industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation.
• Work in concert with product and infrastructure engineers to improve Figma's products through AI powered features.
• Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems.
• Build evaluation systems to measure and improve quality of AI features in Figma products.

We'd love to hear from you if you have:

• Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments.
• Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc.
• Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO.
• 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision.
• Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R).
• Experience communicating and working across functions to drive solutions.

While not required, It’s an added plus if you also have:

• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision.
• Experience in mentoring/influencing senior engineers across organizations.
• Expertise working on large scale and distributed AI training.

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

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

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

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

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

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

Key Responsibilities:

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

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

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

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

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

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

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

Requirements:

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

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

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

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

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

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

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

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

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

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

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

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

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

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

Attendance is expected and fully supported.

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

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

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

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

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

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

What you'll be doing:

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

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

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

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

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

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

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

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

What we look for in you:

• At least 7 years of experience in software engineering.

• At least 1 year of engineering management experience.

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

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

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

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

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

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

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

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

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

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

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This role combines instructional design expertise, multimedia content creation, and deep hands-on experience with Seismic to deliver scalable, data-driven enablement programs for sales and go-to-market teams.

Key responsibilities include designing and delivering end-to-end sales enablement courses and learning resources, translating business goals into effective learning journeys, and integrating and leveraging generative AI tools to accelerate content development and optimize learning experiences.

Rich media and content development skills are also essential, including creating engaging videos, interactive presentations, scenario-based learning, and visual job aids.

Seismic enablement platform experience is required, including designing, managing, and optimizing enablement content within Seismic, and providing support to Elastic Seismic platform users.

Measurement and continuous improvement skills are also necessary, including partnering with program owners to define success metrics and KPIs, analyzing usage and performance data, and refining content and learning strategies.

The ideal candidate will have 5+ years of experience in sales enablement, instructional design, or learning experience design, preferably in a B2B or SaaS environment, and strong hands-on experience with Seismic as a sales enablement platform.

Experience with video production and editing tools, generative AI, and rapid prototyping tools is also desirable.

This role offers a competitive salary range of $94,300-$149,200 USD, with opportunities for growth and professional development.

At Elastic, we believe in taking care of our people and offer a range of benefits, including competitive pay, health coverage, flexible locations and schedules, generous vacation days, and opportunities for professional growth and development.

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We're hiring a Staff Model UX Designer to play a critical role in our Personalization initiatives. You'll be responsible for developing and implementing content and model behavior standards, architecting scalable frameworks and processes.

The Role

As a Model UX Designer on Personalization, you'll be responsible for crafting novel and intuitive experiences that leverage Gemini's model output to help users easily discover new features and deepen their engagement with our product.

Key Responsibilities

• Set the quality bar by creating principles, response strategies, and examples that define what good looks like.
• Drive continuous model improvement by diagnosing quality gaps and developing scalable, strategic frameworks,including guidelines, technical instructions, and cross-functional alignment,needed to scale response excellence.
• Partner closely with cross-functional teams, including engineers, product managers, researchers, and data scientists to shape the behavior of LLM models in support of growth strategies.
• Understand users and advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.
• Deeply understand model training methods and processes, and stay up-to-date on the latest advancements in generative AI.

About You

We're looking for a systems thinker with strong skills in content strategy, conversation design, and problem-solving, anchored by a passion for the craft of writing.

Requirements

• Demonstrated Strategic Impact & Leadership: Experience shaping content for strategic initiatives in relevant areas, such as hardware, software, digital agencies, creative industries, or journalism.
• Mastery of Writing Craft & Execution: A portfolio of work demonstrating intuitive, systems-aware content solutions with exceptional craft and strong rigor.
• Adaptability: Thrives in complexity, continuously learning and adapting with a growth mindset.
• Fluency in AI product design process: Experience training and tuning large language models or other generative AI technologies.

Salary

The US base salary range for this full-time position is between $165,000 USD - $245,000 USD + bonus + equity + benefits.

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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.

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Your responsibilities will include designing, building, and maintaining high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organisation. You will also build and optimise production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.

In addition, you will take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. You will also champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.

To succeed in this role, you will need to have 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model. You will also need to have technical stack expertise in SQL (Snowflake), BI visualisation tool (Tableau), and CRM data (Salesforce).

Preferred qualifications include proficiency with scripting (python) & data modelling (dbt), deep understanding of enterprise software sales processes, field operations, and cross-functional GTM mechanics.

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Auth0 secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

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.

About Okta

Okta is the World’s Identity Company. We enable everyone to safely use any technology,anywhere, on any device or app. The Okta Platform and Auth0 Platform enable secure and flexible access, authentication, and automation, transforming people's experience in the digital world and putting Identity at the heart of business security and growth.

Job Description

As a member of the Okta Japan SE team, the Senior Solutions Engineer for the Auth0 Platform will serve as a key technical and business advisor to customers and partners. Leveraging a passion for technology and deep expertise, you will plan, propose, and demonstrate how Auth0 solutions solve critical business challenges for stakeholders ranging from field practitioners to C-level executives throughout the sales cycle. Consequently, you will directly contribute to achieving quarterly and annual sales targets in Japan.

Responsibilities

• Collaborate with the sales team and related departments to act as an authority on technology and the Identity Security domain, ensuring customers fully understand the value and potential of the Auth0 Platform.

• Communicate the value of implementing Auth0 solutions to customers in various positions (practitioners, managers, C-level) and earn their trust.

• Serve as a primary technical resource, confidently responding to product functionality questions and detailed technical inquiries from customers, partners, and internal Auth0 teams.

• Drive knowledge sharing by contributing to and utilizing best practices and reusable assets, proactively elevating the expertise and efficiency of the entire SE team.

• Support customer Proof of Concepts (PoCs) to technically demonstrate that implementing Auth0’s identity solutions will deliver value to the customer.

• Participate as a presenter and demonstrator in online or offline events aimed at evangelizing Auth0.

• Lead less experienced sales representatives and SEs, contributing to constructive performance improvement of the entire team through appropriate feedback.

Requirements

• Experience in customer-facing roles as a Pre-sales SE or Technical Sales.

• Ability to build and maintain strong relationships of trust with customer technical staff and leaders throughout the sales process.

• Native-level Japanese proficiency with excellent communication and reading comprehension skills.

• Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.

• Joy in spreading industry-leading solutions that benefit society.

• Enjoyment in collaborating with Okta’s expanding partner community in Japan and working with Pre-sales Engineers around the world.

• A desire to become a top-tier Solutions Engineer by refining pre-sales skills, not just product and authentication technology knowledge.

And extra credit if you have experience in any of the following!

• Pre-sales experience in an organisation using sales methodologies such as SPIN, Solution Selling, or MEDDICC.

• Experience with Identity & Access Management (IAM), Single Sign-On (SSO), Security, or API-based solutions.

• Experience using at least one standard network security protocol (OAuth 2.0, OpenID Connect, SAML, LDAP, etc.).

• Knowledge/Experience with Cloud Platforms (AWS, GCP, Azure) and tools such as Kubernetes, Terraform, or Serverless environments.

• Hands-on development experience in one or more of the following areas: Web Development (JavaScript, HTML, Front-end frameworks), Mobile Development (iOS, Android), Backend Development (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.

• Knowledge of modern technologies such as Generative AI, Intelligent Agents, and Conversational Bots.

• Understanding of core application security (Password Hashing, SSL/TLS, EAR, XSS, XSRF).

• Experience speaking at technical conferences/webinars or writing technical blogs.

• Experience working as a software developer.

• Experience communicating and working with overseas engineers in English.

What you can expect as an Okta employee

• Benefits

• Social Impact (Okta for Good)

• Okta's People, Connections, and Community

Okta builds a dynamic work environment by providing the best tools, technology, and benefits so that employees can work productively in an environment that suits their needs. Each organisation has a unique way of working with flexibility and mobility so that every employee can be their most creative and successful self, regardless of where they live.

Find your place at Okta today!

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The Security team's goal is to identify, measure, manage, mitigate, and report risk associated with products to keep our customer's funds and data safe. You will collaborate with program sponsors and cross-functional Security partners to identify, document, and objectively assess opportunities, challenges, and risks across traditional and novel Security domains using qualitative and quantitative factors, including KRIs and KPIs.

You will serve as the Directly Responsible Individual (DRI) for key security initiatives or workstreams when required, owning outcomes and driving decision-making to keep programs moving forward. You will create program strategies and artifacts, including proposals, prioritization frameworks, roadmaps, dependency maps, and risk registers, to drive initiatives that incrementally increase program maturity over time.

You will partner with Product, Engineering, and Security teams to influence adoption of critical initiatives, navigate technical dependencies, and support the Software Development Lifecycle (SDLC) as part of product and feature launches. You will concurrently manage multiple critical projects end-to-end: establishing milestones and timelines, managing cross-functional workstreams and dependencies, holding teams accountable for deliverable quality, and clearly communicating the impact of delays on project timelines and security risk posture.

You will provide program status to Security leadership while ensuring transparency on key metrics, program effectiveness, strategic direction, and changes. You will conduct regular data analysis on security control performance to identify trends, anomalies, and areas for improvement, leveraging BI tools to drive data-informed decisions.

You will drive process improvement and scaling initiatives within security programs by leveraging AI tools, automation, and retrospectives to optimize workflows, reduce manual toil, and achieve outcomes efficiently. You will author Objectives and Key Results (OKRs) to focus teams on the right short-term and long-term goals, and manage change across complex multi-quarter programs.

You will rapidly identify and escalate risks to enable proactive collaboration and timely resolution.

We're looking for a Technical Program Manager II with a strong understanding and proven experience of formal program management methodologies, working knowledge of and experience in cyber/security domain, fluency in leveraging AI in daily workflows to enhance efficiency, drive process improvements, and deliver high-quality, business-ready outputs.

You should have exceptional skills in time management, facilitation, communication, and organization, ability to translate complex concepts simply for varied audiences, experience managing cross-functional teams and stakeholders, and comfortable navigating ambiguity and operating in environments where processes and paved roads may not yet exist.

Nice to haves include professional certification such as PMP, CISSP and CISA, working knowledge of and experience in the technology and/or financial technology industry, experience working across all the three lines of defense (3LOD), and advanced understanding of Generative AI, Google Workspace, JIRA, Linear, Superset, Looker and SQL.

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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 Okta Security team’s mission is to strengthen Okta’s position as the leading Identity-as-a-Service solution by identifying and resolving risks to the employees, product, and most importantly, our customers. The Security Trust & Culture team works to enhance customer trust in Okta’s identity services . We serve as a strategic resource working closely with Okta’s go-to-market teams.

As a Staff level analyst of Customer Assurance, you will support prioritising and efficiently responding to questions about our security programme and other due diligence related requests. You will act as a critical bridge between our customers and our internal engineering teams, ensuring Okta’s security posture is communicated effectively.

Tasks will include training local Sales teams, managing complex escalations in the regional market, and driving technological changes to help Customer Assurance scale its efforts globally. This position requires a unique combination of skills including an ability to coordinate the analysis of technical issues, to communicate clearly about security-relevant topics with both internal and external customers, to collaborate with internal business units to ensure execution of time-sensitive projects, and to present to upper management or the broader organisation as required.

The ideal candidate will have experience with SaaS cloud security risk assessment and a solid understanding of the core principles of identity management. If you want to make a difference in the security programme of a global cloud provider, we want you on board.

Job Duties and Responsibilities:

Serve as the critical bridge between Okta’s customers and internal Engineering/Product Security teams. You must be able to unpack complex customer security concerns, hold in-depth technical discussions with internal engineering to align on solutions, and translate Okta’s security architecture back to the customer to resolve high-stakes inquiries.

Take end-to-end ownership of highly technical security questionnaires and due-diligence requests, Partner seamlessly with internal subject matter experts,including our specialised Federal/FedRAMP teams,to ensure accurate, timely, and high-quality responses for highly regulated customers.

Drive technological changes within Customer Assurance by identifying and implementing AI and automation strategies to streamline workflows, scale global efforts, and reduce response times.

Train and empower regional Go-To-Market and Sales teams on standard engagement protocols, ensuring they can leverage Customer Assurance resources smoothly to accelerate deals.

Collaborate with the Security Trust & Culture team and Regional CSOs to develop, publish, and maintain forward-facing security collateral, FAQs, and field communications.

Work within a global team, participating or leading global handoffs between American timezones and European or Asian, when required for large security or industry events.

Requirements:

Bachelor’s degree in Computer Science or Management Information Systems, or equivalent work experience in technology or information security fields

Minimum 3 years information security, project management, or related experience

A strong, fundamental understanding of core Security principles, architectures, and operations.

Understanding of IT and cloud methodologies, information security, privacy, identity management, risk assessments and IT regulation and compliance standards

Strong oral, written, and presentation skills

Strong written and verbal communication skills, with a proven ability to distill complex technical concepts into clear, concise responses for both technical customers and internal executive stakeholders.

Helpful Certifications / Skills:

Okta Certified Professional/Administrator

Certificate of Cloud Security Knowledge (CCSK) and/or Certificate of Cloud Auditing Knowledge (CCAK)

Certified Information Security Auditor (CISA)

Experience with generative AI tools or process automation platforms is a strong plus.

Familiarity with Federal or highly regulated compliance frameworks (e.g., FedRAMP, StateRAMP, NIST 800-53, or DoD IL4/IL5)

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This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

You may be a good fit if you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

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In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement
• Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces
• Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation
• Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels
• Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements
• Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces
• Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics
• Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

• 5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs
• Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist
• Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination
• Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations
• Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity
• Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings
• Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred qualifications include familiarity with the AI/ML ecosystem, experience conducting threat actor profiling or open-source investigations, and experience working with generative AI products.

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

We're seeking a Staff Software Engineer to join our Financial Engineering team.

As a Staff Software Engineer, you will be responsible for architecting and building foundational backend systems with a focus on performance, scalability, and reliability.

You will drive strategic technical direction for complex, cross-team initiatives and establish and evolve platform best practices, frameworks, and architectural standards within the team.

You will provide deep technical mentorship, guide design decisions, and raise the bar for engineering quality.

Collaborate with product, finance, and engineering leadership to shape the team's technical roadmap.

Drive system improvements by embedding AI into engineering and operational practices.

What we look for in you:

8+ years building and operating large-scale distributed systems in production.

Deep expertise in backend programming (e.g., Go, Python, Java) and cloud-native architecture.

Proven track record designing highly available, high-performance systems.

Ability to anticipate scaling bottlenecks and take proactive measures.

Experience leading cross-functional technical initiatives and mentoring engineers.

Ability to distill complex technical concepts into clear, actionable solutions.

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

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

Experience in the Auth domain.

You’ve worked with Golang, Ruby, Docker, Rails, Postgres, MongoDB or DynamoDB.

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

Job # : P75025

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$218,025-$256,500 USD

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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.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards,you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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You will be a member of the user well-being team, and your initial focus will be on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

Requirements:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred Qualifications:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

Compensation:

The annual compensation range for this role is $245,000-$285,000 USD.

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

We’re seeking a Staff Software Engineer to technically lead the Tax Engineering team within the Consumer Product Group.

Tax Engineering sits at the intersection of every trade, every payment, and every product Coinbase ships on the hot path.

As the Staff Software Engineer on the team you'll define multi-quarter technical strategies, build systems with stringent correctness and scalability requirements, and set the technical direction for how Coinbase handles one of the most complex domains in financial services.

Ownership & impact

In this role, you will:

• Own the architecture and evolution of real-time and offline systems that calculate, track, and report taxes for crypto transactions at scale , ensuring correctness, low latency, and 24x7 availability.

• Define multi-quarter technical strategies for the Tax Platform, identifying opportunities to simplify complexity, improve reliability, and expand capabilities as Coinbase launches new asset types and products.

• Architect and build distributed systems that power tax calculation engines, cost basis tracking, and tax reporting APIs , serving millions of customers with strict accuracy requirements.

• Lead technical design and code reviews, setting standards for quality, performance, and maintainability across the team.

• Mentor engineers and elevate the technical bar.

• Partner cross-functionally with product, data, compliance, and frontend teams to deliver tax features that meet regulatory requirements and delight customers , from annual tax reports to real-time gain/loss calculations.

• Drive operational excellence by owning system reliability, incident response, and performance optimization for critical tax infrastructure that operates at the scale and speed of crypto markets.

Minimum qualifications

• 8+ years of experience in software engineering, with significant experience architecting and developing solutions to ambiguous, high-impact problems.

• Proven track record designing, building, scaling, and maintaining production-level distributed systems with stringent correctness and availability requirements.

• Strong experience with backend languages (e.g., Go, Python, or similar) and modern infrastructure patterns including microservices, event-driven architectures, and REST/GraphQL API design.

• Deep expertise in data-intensive systems , experience with Kafka, Clickhouse, or similar tools for real-time and batch processing at scale.

• Demonstrated technical leadership: leading large projects with long-term impact, mentoring engineers, and driving alignment across teams on technical strategy.

• Excellent judgment on prioritization and the ability to break down ambiguous problems into actionable technical plans.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves

• Experience with tax systems, cost basis engines, 1099 reporting, or financial compliance infrastructure.

• Familiarity with equities, options, or margin trading or strong interest in learning trading/brokerage domains.

• Background at a tech-focused company (fintech, crypto, high-growth startup) rather than traditional finance.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

$217,900-$217,900 CAD

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

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.

You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses.

This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our San Francisco office.

We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.

We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.

Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.

Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.

Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.

Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.

Partner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.

Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

3+ years of experience in data analytics or a related role in a professional setting.

2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.

Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).

Experience with Python for data analysis, automation, or scripting.

Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).

Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.

Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.

Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).

Familiarity with dbt for data modeling and transformation.

Exposure to data pipeline orchestration tools (e.g., Airflow).

Experience in fintech, financial services, or payments.

Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000.

However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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As one of the first engineers in the NYC Engineering office, you'll have the opportunity to be part of a small, nimble team that's innovating to build new products from the ground up.

Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users.

The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
• Proven experience building and shipping end-to-end generative AI products
• Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

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At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform , and with it, the future global financial system.

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

We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high-calibre colleagues, and who actively seeks feedback to keep levelling up.

We want someone who will run towards, not away from, solving the company’s hardest problems.

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

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

We are looking for a Staff Software Engineer to join the Payment Rails team within Coinbase's Platform organisation.

Payment Rails serves as Coinbase’s gateway between the fiat and crypto economy, connecting our products to a wide range of banking and payment providers, from the largest global institutions to the most innovative, tech-forward processors.

We operate a network of payment integrations and routing that power fiat on- and off-ramps for both individual and institutional customers, moving hundreds of billions of dollars in transaction volume each year.

In this role, you’ll shape the architecture and technical direction of this network, designing and scaling systems that ensure every payment is reliable, efficient, and correct.

**Key Responsibilities:*

• Own the technical strategy, architecture, and roadmap for scaling Payment Rails’ network of payment partner integrations and routing, so Coinbase can enable more customers to participate in the crypto economy across more markets and payment options.

• Build and scale complex distributed systems that process high-volume, high-reliability payment traffic,designing for fault isolation, graceful degradation, strong observability, and clear SLOs for Tier-0/Tier-1 services.

• Drive an AI-first approach to engineering workflows,identify where AI-powered tools can accelerate development, improve code quality, and enhance operational efficiency across the team and broader engineering org.

• Partner cross-functionally with Product, Risk, Compliance, and Operations to translate ambiguous business requirements into well-scoped technical solutions that balance speed, safety, and regulatory requirements.

• Lead high-stakes scaling initiatives and define the technical direction for how Coinbase moves money,anticipating bottlenecks before they occur and driving proactive, systematic improvements.

• Raise the engineering bar across Payment Rails and adjacent orgs by establishing paved roads, design patterns, and best practices that elevate team technical quality through mentorship, design reviews, and process improvements.

• Mentor and train other team members on design techniques and coding standards.

**Requirements:*

• 8+ years of experience in software engineering.

• Experience building payment systems, financial infrastructure, or high-volume transactional systems.

• You’ve designed and built fault-tolerant, highly reliable distributed systems at scale,with a demonstrable track record of architecting systems that handle billions of dollars in transaction volume.

• Platform-builder mindset: you’ve led efforts to turn fragmented services and bespoke integrations into coherent, reusable platforms (e.g., shared frameworks, unified APIs, multi-tenant architectures).

• Strong operational excellence: experience owning production reliability, leading high-severity incident response, and driving systemic improvements from postmortems across multiple teams or domains.

• Collaborative leadership: history of influencing across teams and organisations without direct authority, driving consensus on high-impact technical decisions, and representing your area in org-level forums.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

**Nice to have:*

• Experience with payment processors, banking integrations, or payment gateways (e.g., Stripe, Plaid, SWIFT, ACH, SEPA, card networks).

• Background in crypto or blockchain technologies, including familiarity with stablecoin transfers, on-chain settlements, or cross-chain payment flows.

• Experience working in highly regulated industries where safety, compliance, and user trust are paramount,particularly in fintech or financial services.

Pay Transparency Notice:

Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus): $218,025-$256,500 USD

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In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities.

Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns.

You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

Responsibilities

• Develop Advanced Agentic Software
• Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning
• Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration
• Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation
• Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation
• Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

Salary and Benefits

The salary range for this role is $254,000-$336,000 USD. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

Your proactive approach in protecting yourself from recruitment scams is greatly appreciated.

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

We are seeking a TMS Compliance Lead Analyst to join our team.

As a TMS Compliance Lead Analyst, you will investigate AML and fraud-related alerting transactions on the blockchain, write and/or file Suspicious Activity Reports (SAR), conduct investigative review and analysis in support of Coinbase AML regulatory compliance policies and programs, and maintain detailed documentation to demonstrate compliance with regulations and internal policies and procedures.

Strong interpersonal, analytical, and communication (verbal and written) skills are essential for this role.

Experience working with Google Sheet, Google Doc, Excel, Word is also required.

Flexible and adaptable to the evolving needs of a high-growth and fast-paced organization environment is necessary.

Organized with a High level of attention to detail is also required.

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to have:

Professional certification in AML or Fraud (e.g. CAMS, CFCS, CFE)

Proficient in blockchain analysis (e.g. Chainalysis)

Experience in project management, analytics, or vendor management

Advanced degree in business, finance, or customer experience (CX)

Proficiency with tools such as Google apps, JIRA, Hummingbird, and Salesforce Service Cloud.

Annual base salary range: €73.903-€73.903 EUR.

Please be advised that each candidate may submit a maximum of four applications within any 30-day period.

We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

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You will help define best practices for developers building on claude for deployment to users across different developmental stages, design age-assurance policies that protect minors from inappropriate content and interactions, and establish clear boundaries for adult content and experiences. In addition, you will advise teams on opportunities for age-appropriate helpfulness, including advising cross-functional teams on beneficial use cases for younger users where appropriate.

Safety is core to our mission and you’ll help shape policy creation and development so that our users can safely interact with and build on top of our products in a harmless, helpful and honest way.

You may be a good fit if you have experience:

As a researcher, subject matter expert, or trust & safety professional working in one or more of the following focus areas: child safety, youth online safety, age assurance, developmental science, content classification and rating systems, or adult content policy.

Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions.

Designing or implementing age-appropriate experiences, age assurance mechanisms, or content classification / labeling systems.

Working with generative AI products, including writing effective prompts for policy evaluations and classifier development.

Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams.

Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space.

Thinking creatively about the risks and benefits of new technologies, and leveraging data and research to inform policy recommendations.

Navigating and prioritizing work efforts amidst ambiguity.

The annual compensation range for this role is $245,000-$285,000 USD.

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This team's work touches every single booking decision on a platform that facilitates hundreds of millions of trips and an incredibly diverse global inventory. You will ship and iterate on AI-powered features that help guests make more confident booking decisions , synthesizing signals from reviews, ratings, and listing data into quality information that is clear, personalized, and trustworthy.

This means working hands-on with Data Science to evaluate model performance and translate outputs into better product decisions, not just defining requirements and handing them off. This role requires close partnership with the Policy, Privacy, and Legal teams , particularly on review integrity, AI-generated content, and trust-related guest-facing features.

You will work especially closely with the quality data platform team to generate and consume accurate quality signals that foster a trusted marketplace, as well as across Design, Engineering, and Data Science to ship and iterate at scale.

This is a critical role that spans the end-to-end guest experience around listing quality information, and the features you build will be part of the experience for every guest who considers booking on Airbnb.

As a Product Manager, you will:

• Develop and execute the product roadmap for Trip Quality Merchandising and AI, with a focus on shipping AI-powered features that improve how guests evaluate listing quality.
• Define product requirements for generative AI features (e.g. listing summaries, quality highlights) and ML ranking systems, including evaluation criteria, guardrails, and iteration plans.
• Partner with Data Science to assess model performance , understanding where outputs are accurate and trustworthy, and where they fall short , and translate those assessments into concrete product improvements.
• Craft the product narrative that inspires teams, leadership, and the company and builds alignment on the quality merchandising strategy.
• Partner with design, engineering, and customer support to deliver features that improve both guest and host experiences.
• Collaborate closely with our Policy, Privacy, and Legal teams on topics that are essential to making Airbnb one of the most trusted marketplaces in the world.

You will need to have:

• 10+ years of product management experience.
• Hands-on track record shipping AI/ML-powered features on consumer products , including generative AI features (LLM-based summarization, content generation) and ML ranking or personalization systems , with direct involvement in defining evaluation criteria and improving model outputs.
• Expert ability to use data and business analysis to inform product strategy and drive decisions.
• Domain familiarity with marketplace trust/quality, search/ranking/relevance, or content/feedback systems is strongly preferred.
• Experience creating product messaging and delivering to customers.
• Demonstrated track record of building cross-functional and executive leadership alignment.
• Experience working on consumer products with marketplace dynamics on a global scale.
• Entrepreneurial track record of taking an idea to reality.
• Excited to lead cross-functional execution, from strategy through shipped product in a fast-paced environment.
• Desire to do individual contributor product management work.
• Excellent written and verbal communication; adept at simplifying complex AI/ML and data concepts for diverse audiences.

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The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power Airbnb's global community support operations. The products and solutions we build support our customers, front-line agents, and business process operations teams.

As a Senior Software Engineer, you will work in a team of talented and diverse software engineers to build solutions that improve the agent experience. You will play a significant role in shaping the technical vision and then delivering a solution that is flexible, efficient, and scales with the needs of the business.

Key Responsibilities:

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features
• Drive, lead, and contribute to the full development cycle: technical design, development, test automation, experimentation, analysis, and launch
• Build efficient and reusable backend components, with high quality, while making sure to maintain performance and scalable systems
• Practice Full-Stack development, including frontend web, contributing to UI used by thousands of agents all day
• Work closely with Machine Learning and Generative AI Engineers to greatly improve Community Support systems

Requirements:

• 6+ years industry experience
• Bachelor's and/or Master's degree, preferably in CS, or equivalent experience
• Proficiency in one or more back-end server languages (Java/Kotlin/C++)
• Experience building AI-driven features: Both classical supervised machine learning, and Generative AI
• Experience in building and scaling high-quality and high-traffic products (or systems)
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
• Ability to evaluate technical approaches and design product solutions to solve real-world problems
• Mentorship to junior developers

Our Commitment To Inclusion & Belonging:

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

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $195,000-$220,000 USD

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Key responsibilities include defining and executing the EMEA partner enablement strategy, designing and delivering scalable enablement programs, owning the regional enablement roadmap, driving measurable ecosystem growth, and partnering closely with regional sales, partner leadership, marketing, and global enablement teams.

The ideal candidate should have 7+ years of experience designing and scaling learning or enablement programs within enterprise technology, cloud, or data ecosystems, and a solid understanding of modern Data & AI architectures, including data warehousing, data engineering, machine learning, and generative AI concepts.

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You'll partner with Product, Engineering, and Policy to shape the behavior and responses of LLM models, utilizing mastery of the art and structure of language to create principles, response strategies, and examples for the content quality of Gemini models. You'll define and establish comprehensive content standards and specifications for Gemini models, addressing factors like factual accuracy, privacy, safety, personality, tone, and style.

Key responsibilities include diagnosing content quality issues, developing strategies and alignment for implementation and hillclimbing across product areas, and creating scalable solutions to UX and process challenges across teams. You'll also advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.

To set you up for success as a Model UX Designer at Google DeepMind, we look for the following skills and experience:

• 5+ years of experience on user-focused writing, including work in hardware, software, digital agencies, creative industries, journalism, or other relevant areas
• Experience in shaping content for multi-disciplinary projects
• A portfolio of content strategies and longer-form writing samples

In addition, the following would be an advantage:

• Experience training and tuning large language models or other generative AI technologies
• Experience being a driver in a fast-paced, startup environment
• Experience working on multi-modal platforms, like voice-driven experiences or AR/VR
• Experience gathering and working with data to identify loss patterns and create actionable insights
• Experience developing AI-driven prototypes

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This role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You are joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.

Key Responsibilities:

• Design Technical Enablement Programs: Architect comprehensive enablement programs such as Advanced Technical Academies, Delivery Specializations, and technical onboarding to drive partner technical proficiency. In collaboration with Subject Matter Experts, you will define end-to-end learning paths, encompassing curriculum, assessments, and success metrics

• Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives.

• Technical Roadmap Leadership: Own the roadmap for technical programs, including large-scale learning events, global workshop schedules, and GTM strategies for enablement.

• Performance Accountability: Drive results for your partner portfolio, maintaining full ownership of key metrics such as training completion and certification targets.

• Data-Driven Insights: Monitor and analyze KPIs (Certification rates, ROI, and program impact) to continuously optimize enablement effectiveness.

• Quality Assurance & Coaching: Oversee the technical integrity of programs launched across the team. Evaluate and coach cross-functional training resources to ensure 'best-in-class' delivery.

Minimum Qualifications:

• Education: Bachelor's degree in a technical discipline or equivalent practical experience.

• Experience: 7+ years of experience developing and scaling technical learning programs within a global enterprise tech ecosystem.

• Technical Depth: Deep understanding of Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI); ideally holds at least one industry certification in these areas.

• Consulting Background: Proven experience as part of a technical delivery team, successfully implementing Data & AI projects for external clients.

• Ecosystem Knowledge: Strong understanding of the System Integrator (SI) business model and how technical partners successfully go to market.

• Program Management: Proven track record of managing technical competency models and learning journeys for large, geographically dispersed teams.

• Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders.

Preferred Qualifications:

• Strong background in the Generative AI landscape.

• Experience scaling technical enablement within 'Hyperscaler' environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems.

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