Wonderschool is a software company that helps small business owners earn more money. They started with childcare providers because it is a large, underserved market where technology can have an outsized impact on revenue. But the model scales: they are building a platform and a playbook that will expand into other verticals.

The Vision

The North Star for this role is a system where a user signal automatically triggers a chain of AI agents that writes the product requirements, designs the solution, builds the code, reviews it, and ships it. No human in the loop for the routine stuff. Humans define what matters, train the agents, and review edge cases.

What You Will Do

Own the AI Development Loop

Review and iterate on AI-generated code and feed that review back as training signal to make the agents better over time Architect the codebase for AI legibility: clean data models, strong documentation, deprecation of legacy patterns that cause agents to fail Build and maintain the automated product pipeline: signal detection, agent-generated requirements, AI-driven development, AI code review, commit When agents break in production, you own the diagnosis and fix

Enable the Business, Not Just the Product

Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves, without filing engineering tickets Translate what internal teams need into automated, reliable systems Help non-engineers understand what is possible and then make it happen

Ship Full-Stack Product

Build features across the frontend and backend: React/TypeScript on the front, Node.js or Elixir on the back, Postgres underneath Own the full lifecycle from requirements to production Debug issues across the entire stack

Stay Close to What Is Live

Actively observe the production environment: usage patterns, agent failures, edge cases, provider behavior This role requires a high degree of personal accountability for system health. When things are running well, that is because you have built the monitoring and alerting to catch problems early. Getting there takes commitment.

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Location: Oak Ridge, TN

Schedule: Full-Time

Standard Nuclear is fueling America’s nuclear renaissance at industrial scale. Our mission is to deliver the essential building blocks of nuclear power,enabling cost-effective, safe, and secure energy for the world.

The Waste Management Specialist is responsible for executing radioactive and hazardous waste management activities in compliance with DOE, EPA, DOT, RCRA, and site-specific requirements. This role ensures proper characterization, packaging, documentation, and shipment of waste generated from manufacturing and laboratory operations.

This is a hands-on role working in controlled and radiological environments. In addition to waste management responsibilities, this position provides field support and job coverage for radiological work activities, supporting contamination control, monitoring, and safe execution of work in radiological areas.

The role is critical to maintaining regulatory compliance, safe waste handling practices, and operational support across Standard Nuclear’s facilities.

Responsibilities:

Waste Management & Regulatory Compliance

• Perform waste characterization activities, including coordination of sampling, development of waste profiles, and verification of Waste Acceptance Criteria (WAC) compliance

• Package, label, and prepare radioactive and hazardous waste in accordance with DOE Orders, RCRA, TSCA, DOT regulations, and site procedures

• Ensure proper waste segregation, container selection, labeling, contamination control, and storage practices

• Prepare, review, and maintain required documentation including waste profiles, manifests, shipping papers, and supporting records

• Coordinate and support shipment of waste to approved disposal facilities, ensuring proper classification and regulatory compliance

• Maintain inspection-ready records and support internal and external audits, assessments, and regulatory inspections

• Identify and report waste-related issues, non-conformances, and regulatory concerns and support corrective actions

Radiological Job Coverage & Field Support

• Provide job coverage for work performed in radiological areas, supporting safe execution of activities

• Support contamination control practices, personnel monitoring, and area monitoring as required

• Assist with implementation of radiological work permits (RWPs) and site-specific safety controls

• Monitor work activities to ensure compliance with radiological and safety procedures

• Identify and report abnormal radiological or safety conditions

Operational Support & Coordination

• Interface with Radiological Controls, EH&S, Operations, and Engineering teams to support safe and compliant waste handling and field activities

• Support planning and execution of work involving hazardous or radioactive materials

• Assist with coordination of waste handling activities across production and laboratory operations

Safety & Compliance

• Ensure all waste management and radiological support activities are conducted safely and in compliance with regulatory and site requirements

• Adhere to Integrated Safety Management (ISM) principles and site safety programs

• Maintain proper use of PPE and contamination control practices

Skills & Qualifications

• Experience managing radioactive and/or hazardous waste in accordance with RCRA, TSCA, DOE Order 435.1, and DOT regulations

• Experience working in radiological or controlled environments

• Radiological Worker training (RW I or RW II) or ability to obtain

• Experience supporting radiological work activities or job coverage (RCT support experience preferred)

• Familiarity with waste characterization, packaging, and shipping documentation

• Strong attention to detail and ability to maintain accurate records in a regulated environment

• Ability to work in field environments and support hands-on operational activities

• Experience in nuclear, energy, or other regulated industries preferred

Benefits

• Health, Dental & Vision Insurance

• Health Savings Account

• Disability and Life Insurance

• 401K Plan

• Paid Time Off, Holidays

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The position requires hands-on waste handling, preparation of regulated shipments, and active support of field operations in controlled areas. Work may include use of monitoring equipment, PPE, and adherence to radiological and environmental safety procedures.

Reasonable accommodation will be provided to enable individuals with disabilities to perform the essential functions.

Standard Nuclear embraces equal opportunity and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

To conform to U.S. Government export regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

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Your starting point will be AI observability, evaluation, and production reliability. From there, your scope expands into broader platform ownership: agent systems, orchestration layers, and shared infrastructure. Observability is the entry point,not the end state.

In this role, you will:

• Build the observability and reliability foundation for AI systems across Komodo (logging, tracing, evaluation pipelines, feedback loops)
• Define how the organization measures LLM performance and quality in production (hallucinations, drift, latency, failure modes)
• Ship production-grade AI systems that improve platform reliability, scalability, and performance
• Lead design and architecture for complex applied AI systems (multi-agent workflows, tool-calling systems, model pipelines)
• Establish evaluation frameworks and experimentation practices (A/B testing, offline + online evaluation)

You will drive experimentation across the organization, set best practices, and integrate new AI techniques into Komodo’s broader engineering ecosystem.

Additional responsibilities include:

• Contributing to reusable infrastructure, patterns, and standards adopted across teams
• Partnering with product, data, and platform teams to shape AI-driven solutions

We're looking for someone with strong expertise in LLMs and prompt systems, agent orchestration, and tool/function calling. You should have hands-on experience with AI observability, evaluation, or monitoring systems, debugging and improving production AI behavior, and strong backend engineering skills.

As a Senior Applied AI Engineer, you will be part of a team that is shaping the future of healthcare intelligence. You will have the opportunity to work on cutting-edge projects, collaborate with experts in the field, and make a meaningful impact on the company's mission.

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We’re looking for an SRE with deep understanding of SRE best practices. The role will align experience with Telemetry solutions and use cases – Log monitoring, performance monitoring and visualization tools like Grafana.

Role Responsibilities

• Take ownership of project priorities, deadlines and deliverables using Agile methodologies
• Understand and refine business and functional requirements.
• Hands on approach to getting work done, this will be a role that requires a “roll your sleeves” up mentality
• Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others.
• Drive priority setting of the engineering teams
• Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle
• Proactive participant in architectural and design decisions
• Design and implement end-to-end monitoring solutions for Application and Infrastructure components, based on cutting edge SLO-based telemetry tools
• Drive the engineering of capacity management and demand forecasting solutions
• Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team
• Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance
• Create/coordinate retros for significant incidents
• Additional core engineering functions, such as adding custom Telemetry metrics to the code base of in-scope Applications
• Anticipate new opportunities to continuously evolve the resiliency profile of scoped Applications and Infrastructure

Skills/Qualifications

• Must Have B.S. / M.S. degree in Computer Science, Engineering or a related field with 4 – 6 years of experience
• Experience with troubleshooting performance issues
• A passion for providing engineering support for highly available, performant full stack applications with a “Student of Technology” attitude
• Experience with CI/CD practices
• Passion to work in a team-environment, multi-tasking and effective communication skills
• Excellent analytical, problem-solving and debugging skills
• Demonstrated ability to build positive relationships
• Self-motivated
• Knowledge of software development methodologies (analysis, design, development, testing) and basic understanding of Agile / Scrum methodology and practices
• Good hands-on object-oriented programming experience in Java, including proficiency in object-oriented principles and design patterns
• Exposure to Infrastructure platform problem solving

Good to Have

• Understanding of Agile work environments, including knowledge of GIT, CI/CD, and one scripting language like Perl, Python etc.
• Experience with automated configuration management tools
• Experience with AI or ML for problem solving or improve developer experience

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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We are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives. As part of our growing Enterprise AI consulting practice, we deliver real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture.

Key Responsibilities: Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases. Develop modular code for task decomposition, memory handling, and tool integration with APIs. Collaborate with AI strategists and architects on project design and MVP delivery. Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings. Participate in internal code reviews, documentation, and reusable framework building. Support pre-sales demos and client innovation sessions with hands-on prototypes.

Requirements: Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles. 3+ years in AI/ML, with recent experience in agentic systems and hands-on development of LLM-based applications. Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment. Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices. Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Preferred Skills: Strong proficiency in programming languages such as Python, Java, Spring, Maven, JSON. Object Oriented Programming Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

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Job Overview:

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives.

Key Responsibilities:

• Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
• Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration.
• Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.).
• Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations.
• Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.
• Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications.
• Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys' AI frameworks.
• Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning).
• Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development.
• Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.
• 8+ years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands-on development with LLMs and autonomous AI agents
• Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
• Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.
• Experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment.
• Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.
• Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Preferred Skills:

• Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.
• Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
• Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

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You will design and deliver features that combine frontend, backend, and AI model capabilities, helping users create and customize avatars, generate content, and interact with generative systems in a reliable and intuitive way.

You will take ownership of features from idea through to production, working with loosely defined requirements to scope, prototype, and ship solutions that deliver real user impact.

You will work directly with AI models (both third-party and in-house), evaluating what is possible, understanding reliability constraints, and shaping product decisions based on those capabilities.

You will build across the stack, including:

• Backend systems to support feature logic and model integration

• Frontend experiences that allow users to interact with generative features

• End-to-end workflows that connect user input, model output, and product behavior

You will frequently work on 0 to 1 problems, such as introducing new avatar capabilities or generative features, where experimentation and iteration are critical to success.

You will collaborate closely with product and design to:

• Translate user problems into experiments and features

• Validate what works reliably with underlying models

• Iterate quickly based on feedback and real usage

You will ship features behind feature flags, measure outcomes, and continuously refine based on product and user signals.

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You will be responsible for mapping the current state of AI adoption and defining a detailed "Picture of Success." This role is designed for a leader who understands the "cautions" and nuances of the automotive industry and can solve the problem of fragmented, one-off AI solutions. You will bring structure to business problem discovery, drive consistency in how teams describe their needs, and identify cross-team patterns to accelerate time-to-value.

Responsibilities:

• Lead the definition and optimization of AI value realization by delivering the following:

1. Lead Structured Business Discovery & Pain-Point Inventory: Lead a structured business problem discovery mission by creating a comprehensive AI pain-point inventory. Standardize how teams describe their needs to eliminate inconsistency and identify cross-team patterns that are often missed. Move the organization away from "one-off" AI solutions toward scalable, pattern-based problem solving.

2. Develop the AI Transformation Playbook: Build and institutionalize a holistic AI Transformation Playbook. Conduct AI Readiness Assessments and define the Vision, providing a clear analysis of the Current State versus Future State. Perform rigorous gap assessments across cultural, operational, and technical dimensions to ensure viability.

3. Map Current State & Dealer Processes: Leverage deep expertise in Ford Dealer processes, existing assets, and overall enterprise operations to create detailed business process maps. Identify specific opportunities where AI can optimize dealer interactions and internal workflows while navigating known structural cautions. Define a detailed "Picture of Success" for every initiative to ensure alignment before development begins.

4. Drive Opportunity Mapping & Prioritization: Create and implement Opportunity Templates to standardize intake and assessment. Execute opportunity mapping and use case prioritization to focus resources on high-impact initiatives. Partner with AI Products to define success metrics and ensure a shared definition of value.

5. Oversee Technical Briefs & Vendor Evaluation: Translate business needs into technical reality by leading the creation of Tech briefs and prototypes. Implement a lightweight framework for evaluating vendors and facilitating decision-making. Ensure technical solutions are feasible within Ford's specific environment and infrastructure.

6. Accelerate Time-to-Value & Phased Rollout: Design phased rollout strategies that mitigate risk and manage change management effectively. Focus relentlessly on shortening Time-to-Value by identifying the quickest path to measurable impact. Eliminate waste by identifying redundant efforts and steering teams toward shared solutions.

Qualifications:

• Deep Ford Dealer & Process Expertise: Extensive experience with Ford Dealer ecosystems, retail systems, and overall enterprise processes. You must understand the "cautions" and structural realities of the business.

• Business Process Optimization: Proven track record in mapping complex business processes, identifying bottlenecks, and defining future state workflows (e.g., Value Stream Mapping, Lean/Six Sigma).

• AI Strategy & Transformation: Experience creating AI readiness assessments, vision statements, and gap analyses (cultural, operational, technical).

• Framework Development: Ability to build and implement "Playbooks," opportunity templates, and standardized intake models to fix inconsistent requirements gathering.

• Technical Translation: Experience bridging the gap between business needs and technical teams, including writing tech briefs and overseeing prototyping.

• Problem Solving: Demonstrated ability to identify cross-team patterns and consolidate one-off solutions into scalable strategies.

• 12+ years of professional experience.

• BS or equivalent degree.

• MS, MBA or equivalent business degree.

• Program Management: PMP (Project Management Professional), Agile/SCRUM Master, SAFe, or Six Sigma Black Belt.

Even better, you may have:

• Experience acting as a liaison between legacy business operations and modern AI/Tech product teams.

• Background in evaluating external vendors and defining decision-making frameworks.

• Experience with Design Thinking or Service Design to frame customer/dealer problems accurately.

• Previous success in a role similar to a "Value Engineer" or "Business Architect" within a large automotive or manufacturing context.

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms.

About the Role

We are seeking a CPU & Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure.

In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services.

Key Responsibilities

• Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations.

• Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment.

• Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.

• Drive server platform decisions involving CPU, memory, NIC, GPU, and storage subsystem integration.

• Partner with performance modeling teams to quantify tradeoffs across compute, memory, I/O, and storage bottlenecks.

• Work with silicon and hardware vendors on roadmap influence, feature requests, qualification plans, and technical escalations.

• Lead bring-up and validation efforts for new CPU and storage platforms in lab and production environments.

• Partner with networking and cluster architecture teams to optimize end-to-end node design and data movement.

• Support supply chain and sourcing teams with technical vendor assessments and second-source strategies.

• Drive reliability, serviceability, and fleet lifecycle planning for compute and storage platforms.

• Translate future AI workload requirements into infrastructure platform specifications.

• Provide technical leadership across cross-functional stakeholders and executive reviews.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical field; advanced degree preferred.

• 10+ years of experience in server hardware, systems architecture, data center infrastructure, or hyperscale compute platforms.

• Deep expertise in modern CPU architectures (x86, ARM, accelerator host systems) and server platform design.

• Strong understanding of memory systems, PCIe/CXL fabrics, NUMA behavior, and platform-level performance constraints.

• Experience with storage systems including NVMe, SSD qualification, RAID, distributed storage, object/file systems, or high-performance data pipelines.

• Experience evaluating hardware tradeoffs across performance, cost, power, thermals, and supply availability.

• Familiarity with GPU clusters and AI training/inference infrastructure strongly preferred.

• Experience working directly with OEMs, ODMs, silicon vendors, or storage vendors.

• Strong systems thinking with ability to connect component decisions to fleet-level outcomes.

• Excellent communication skills with the ability to influence engineering and executive stakeholders.

• Proven ability to operate in fast-moving, ambiguous environments with high ownership.

Preferred Skills

• Experience designing infrastructure for large-scale AI or HPC environments.

• Familiarity with CPU vendor roadmaps across AMD, Intel, and ARM ecosystems.

• Experience with distributed storage architectures supporting GPU clusters.

• Knowledge of fleet operations, hardware lifecycle management, and production deployments at scale.

• Prior experience in hyperscale cloud, AI infrastructure, or advanced compute environments.

About OpenAI

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

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

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

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County

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This role sits at the intersection of research rigor and product impact. You'll diagnose failure patterns in AI-generated presentations, docs, and websites, then craft targeted improvements through iterative experimentation. You'll build the tools and workflows that enable rapid testing, validate changes against quality benchmarks, and ensure our AI gets smarter with every iteration.

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

Responsibilities

• Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance

• Systematically improve production prompts through iterative experimentation, diagnosing failure patterns, crafting targeted improvements, and validating against quality benchmarks

• Conduct rigorous experiments to understand model behavior, analyze results, and derive insights that inform prompt and model improvements

• Build tools and workflows to support rapid experimentation and quality analysis, enabling faster iteration on AI improvements

• Fine-tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low-quality outlines

• Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale

Requirements

• 2+ years working with AI systems, with demonstrated experience shipping production-grade AI products

• Deep hands-on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs

• Strong experimental mindset with the ability to design tests, analyze model performance, and iterate toward measurable quality improvements in ambiguous problem spaces

• Experience with post-training techniques for LLMs including reinforcement learning and supervised fine-tuning

• Exceptional attention to detail and genuine quality obsession, with care for output quality across all dimensions including less visible aspects

• Bachelor's degree in Computer Science, Machine Learning, or a related field, or equivalent hands-on experience with AI research and experimentation

Compensation

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $340K plus benefits & equity.

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The CI team manages Anthropic's continuous integration system, which includes:

• CI infrastructure for automated testing and code quality assurance across our monorepo, designed to scale with rapid growth
• Test infrastructure that runs on Kubernetes clusters across multiple cloud providers, handling intelligent test selection, execution, and reporting for a large and complex test suite
• Merge queue management and complex branching strategies that ensure code quality at scale
• CI tooling and automation to improve developer productivity and reduce operational overhead

As a Staff Software Engineer, you will design and build highly reliable, scalable CI infrastructure that supports thousands of daily builds across multiple cloud providers. You will also develop intelligent test selection systems that reduce CI time while maintaining code quality.

Responsibilities:

• Design and build highly reliable, scalable CI infrastructure that supports thousands of daily builds across multiple cloud providers
• Develop intelligent test selection systems that reduce CI time while maintaining code quality
• Build and improve incident response automation, including cluster load shedding, automatic recovery, and observability tooling
• Improve test infrastructure reliability through flake detection, quarantine systems, and test state management

Requirements:

• 10+ years of relevant industry experience building and operating large-scale CI/CD systems
• Deep experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar)
• Excellent communication skills and enjoy supporting internal partners
• Care deeply about reliability and building systems that 'never fail the same way twice'

Preferred qualifications include experience with merge queues and branch management at scale, test infrastructure, including intelligent test selection and flake management, and GitHub API and automation experience.

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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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.

This role will guide a team working across a hybrid ecosystem of internal LLM-driven agents and key third-party integrations.

Responsibilities:

Lead AI Strategy & Execution: Drive the roadmap for our conversational AI stack, moving beyond simple decision trees into LLM-driven reasoning, RAG, and agentic workflows.

Orchestrate the AI Ecosystem: Oversee the integration of third-party AI solutions while simultaneously scaling our in-house LLM infrastructure to handle high-stakes crypto support queries.

Build Evaluation & Guardrails: Establish rigorous AI evaluation frameworks (LLM-as-a-judge) and feedback loops to ensure our models are accurate, grounded, and compliant with global financial regulations.

Agentic Automation: Move from "chat" to "action" by building secure pathways for AI agents to perform complex tasks (e.g., transaction troubleshooting, account recovery) via internal APIs.

Drive Technical Architecture: Define how we handle vector databases, prompt engineering, and context window management to provide a personalised experience for every Coinbase user.

Operational Excellence: Own the reliability of AI services, including latency optimisation, cost management (token usage), and fallback mechanisms to human agents.

Requirements:

8+ years of software engineering experience, with 2+ years leading high-performing teams in a fast-paced environment.

Hands-on AI/ML Leadership: Proven experience shipping products powered by Large Language Models (LLMs).

Systems Thinking: Experience building RAG (Retrieval-Augmented Generation) pipelines and managing the data lifecycle required to ground AI in real-time knowledge.

Platform Mindset: You’ve built scalable, distributed systems and understand how to integrate AI components into a high-traffic production environment (Go, Ruby, or similar).

Evaluation Obsessed: You don’t just "vibe check" AI; you have experience with quantitative evaluation frameworks to measure hallucination rates, accuracy, and customer sentiment.

Security & Safety First: A deep understanding of how to build AI "guardrails",ensuring models don’t leak PII or hallucinate financial advice.

Nice to haves:

Experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) and AI Orchestration frameworks (e.g., LangChain, LlamaIndex).

Experience in FinTech or Crypto, specifically navigating the balance between AI innovation and strict regulatory/compliance requirements.

Background in NLP (Natural Language Processing) or traditional Machine Learning before the Generative AI boom.

Proficiency in Golang and experience with modern cloud-native infrastructure (AWS, Kubernetes).

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):

₹9,424,500-₹9,424,500 INR

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Responsibilities:

• Grow the AEO channel.
• Optimize Stripe.com so AI agents can efficiently access and take action on behalf of users.
• Spearhead the development and integration of AI capabilities to improve the performance and efficiency of the SEO and AEO programs.
• Deliver regular reports and updates on AEO performance to track progress and identify opportunities.

Requirements:

• 5 years of proven experience creating and executing SEO strategies, with full-time focus on AEO and GEO in recent years.
• Strong understanding and curiosity of traditional search and answer engines, including ChatGPT, Gemini, and Perplexity.
• Strong technical expertise in making websites SEO and AEO-friendly.
• Proven ability to translate data into insights and decisions that drive measurable growth.
• Demonstrated understanding of user intent to prioritize actions that deliver positive outcomes for users.
• Motivated self-starter, demonstrating the ability to take initiative, problem-solve independently, and carry out tasks with high agency.
• Proven ability to independently lead the development and execution of roadmaps across a large group of cross-functional stakeholders.
• High attention to craft and detail, ensuring precision in all tasks.
• Excellent presentation and communication skills (written and verbal).
• Ability to work extensively in Google Drive apps (Docs, Sheets, Slides), Excel, Looker, Tableau, Google Analytics and other reporting software.
• Professional proficiency in English.

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In this role, you will have a minimum of 12 years of SAP integration experience, including SAP Integration Suite and middleware platforms. You will have proven experience developing AI-powered applications using SAP BTP services and customized scripts. You will have deep SAP knowledge related to integration processes, ABAP development, and OData services. You will also have hands-on experience with SAP Event Mesh and SAP Cloud Connector, and a strong understanding of Custom CDS Views and their role in integration and analytics. Additionally, you will have experience designing scalable, API-driven architectures, and a strong understanding of API security (OAuth2). You will have an open mindset and adaptability to emerging technologies, including AI and automation, and excellent communication skills and the ability to build strong client relationships.

Nice-to-haves include experience in the automotive industry, knowledge of hybrid cloud integration patterns, familiarity with SAP AI Core, SAP AI Launchpad, and generative AI SDKs, contributions to open-source AI or integration projects, and exposure to other industries (manufacturing, retail, finance).

The role offers a start date by arrangement, with working hours of 40 hours per week, 27 vacation days, and an unlimited employment contract. The line of work is consulting, and language skills required include fluency in written and spoken English. Flexibility and willingness to travel are also essential, as is a valid work permit. Knowledge of AI ethics and governance frameworks is also desirable.

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In this role, you'll be the connective tissue between our event strategy and the content that makes each experience resonate. You'll develop everything from keynote narratives and session abstracts to speaker preparation materials and post-event content, ensuring consistency and quality across Anthropic-owned events like Code with Claude, Anthropic Futures Forum, and our industry-specific programs.

This is an ideal opportunity for someone who thrives at the intersection of storytelling, event marketing, and program management,and who can translate complex AI concepts into accessible, engaging content for diverse audiences.

Responsibilities:

• Own the end-to-end content strategy and development for Anthropic's core marketing events, ensuring alignment with event objectives, brand standards, and company OKRs

• Develop compelling keynote narratives, session descriptions, speaker talking points, and presentation content that showcase Anthropic's products, research, and customer impact

• Create and manage speaker preparation materials, including briefing documents, rehearsal guides, and 'Know Before You Go' content for internal and external speakers

• Write and produce event marketing content across channels,including email campaigns, landing pages, social copy, and promotional materials,in partnership with broader marketing teams

• Build and maintain event content templates, toolkits, and best practices that can scale across a growing global events calendar

• Collaborate cross-functionally with product marketing, communications, developer relations, and sales teams to source stories, technical content, and customer narratives for event programming

• Manage content timelines and deliverables across multiple concurrent events, ensuring all materials meet quality standards and deadlines

• Develop post-event content including recap materials, highlight packages, and follow-up communications that extend the impact of each event

• Own the development of event programming and agendas, leading topic ideation, session sequencing, and content-mix decisions that create cohesive, engaging event experiences , balancing technical depth, audience diversity, and narrative arc for audiences including developers, enterprise leaders, startups, and partners.

• Identify, pitch, and secure external speakers for Anthropic events , including journalists, industry thought leaders, subject matter experts, and academics , managing the full outreach process from prospecting through confirmation and contracting

• Build and maintain long-term relationships with a diverse external speaker pipeline, positioning Anthropic events as a premier destination for top voices in AI and establishing ongoing partnerships that drive recurring speaker engagement across our events calendar

• Track content performance metrics and audience engagement to continuously refine event content strategy

You may be a good fit if you:

• Have 8+ years of experience in content marketing, event content development, or a related field, ideally within technology or B2B environments

• Have a demonstrated ability to develop compelling narratives and presentations for live events, conferences, or executive communications

• Are an exceptional writer who can distill complex technical concepts into clear, engaging content for varied audiences,from developers to C-suite executives

• Have experience managing speaker preparation and content development workflows for multi-session events or conferences

• Have experience sourcing and securing external speakers or contributors, including crafting compelling outreach and navigating relationships with journalists, thought leaders, subject matter experts, or academics.

• Bring strong relationship-building skills , you're comfortable being a face of Anthropic's event program and cultivating long-term, mutually valuable partnerships with external collaborators.

• Are highly organized with the ability to manage multiple content workstreams simultaneously while maintaining high quality standards

• Have strong collaboration skills and experience working cross-functionally with product, engineering, sales, and creative teams to produce content

• Are comfortable working in a fast-paced, high-growth environment where priorities can shift quickly and scrappiness is valued

• Have a genuine interest in AI technology and are excited to learn about Anthropic's products and research to inform authentic event storytelling

• Are results-oriented with a bias toward action,you can develop a content plan and execute it, iterating quickly based on feedback

Strong candidates may also have:

• Experience in event content for technology companies, particularly in AI, cloud, or enterprise software

• Background in producing content for both B2B and B2C audiences across event formats (keynotes, workshops, demos, networking experiences)

• An established professional network spanning journalists, thought leaders, academics, or subject matter experts in AI or adjacent fields

• Experience building and managing a recurring speaker pipeline for a growing events program, including strategies for speaker retention and long-term re-engagement.

• Familiarity with event marketing tools and platforms for content delivery and attendee engagement

• Experience developing content strategies that demonstrably contributed to pipeline generation or brand awareness goals

• Comfort working with technical subject matter experts and translating their insights into polished event content

• Experience building scalable content frameworks or toolkits for growing event programs

• A portfolio that demonstrates range across event content types,from executive-level presentations to hands-on workshop materials

• Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

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

Annual Salary: $200,000-$255,000 USD

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You will provide end-to-end HRBP support across our growing and evolving Gen AI business unit, including directly driving org health initiatives, influencing org structure to effectively scale the team, and developing and implementing creative solutions as the team navigates new markets.

Establish yourself as a trusted advisor and a knowledgeable, reliable, and empathetic partner for our employees and leaders across the Enterprise team.

Coach and advise leaders on best people practices and uplevel manager skill sets.

Lead project management for all people programs for the Enterprise organization, including org planning, onboarding, performance cycles, engagement surveys, and career development efforts.

Drive organization and order for people data and use it to provide insights and recommendations to leaders.

Work in a hybrid work environment (3 days/week) at our San Francisco Headquarters or New York office.

Ideal candidates will have 5+ years of experience working in HR with progression and growth in scope, with 3+ years of experience in an HR Business Partner role at a fast-paced, high-growth company.

Demonstrated experience engaging with executive-level leadership on org-wide initiatives, and ability to partner and build relationships with senior leadership.

Strong ability to relate to, empathize with, and quickly build trust with people from diverse backgrounds.

Proven ability to thrive in a fast-paced, iterative environment and embrace changes in focus and direction as needed.

A passion for building scalable processes in a creative, thoughtful, and organized way.

Experience supporting a global workforce across various job functions.

Nice to haves: Strong knowledge of Google Sheets/Excel and demonstrated ability to influence decisions with data.

Experience in Consulting or in an Operations and Strategy role at a fast-paced company.

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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We are seeking a skilled Investment Banking - M&A Expert to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to M&A investment banking contexts.

In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world M&A dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities

• Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.
• Select and analyze complex problems in M&A investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications

• Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in M&A investment banking.

Preferred Skills and Experience

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in M&A investment banking practices, such as financial modeling, valuation, or deal execution.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Compensation and Benefits

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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

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

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

Responsibilities:

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

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

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

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

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

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

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

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

Requirements:

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

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

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

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

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

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

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

Preferred Qualifications:

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

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

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

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As a Senior Account Executive on the Growth team, you will play a key role in helping Dropbox evolve how we go to market as we expand into newer products like Dash. This role goes beyond traditional account expansion. You’ll be responsible for building and scaling how we sell across new use cases and buying centers within our install base and with net new customers.

You will operate at the intersection of execution and problem-solving, closing business while helping shape our sales motion, messaging, and approach.

This is an opportunity to have a direct impact on how Dropbox grows its next generation of products, with high visibility across GTM leadership.

Responsibilities

• Own the full sales cycle from pipeline generation through close and renewal within your territory
• Build pipeline from scratch by prospecting into new teams, departments, and executive stakeholders
• Expand beyond existing motions to uncover new use cases and opportunities
• Consistently generate pipeline through outbound efforts, account mapping, events, and partner collaboration
• Forecast accurately and manage pipeline to consistently meet or exceed revenue targets
• Lead strong discovery to uncover customer challenges, priorities, and desired outcomes
• Apply structured qualification and value-selling frameworks (e.g., MEDDICC, SPICED) to advance deals
• Clearly articulate business impact and position Dropbox solutions around outcomes, not features
• Drive deal momentum by building urgency, aligning stakeholders, and establishing clear next steps
• Contribute to evolving GTM strategy by refining ICP, messaging, and use cases (e.g., Dash)
• Collaborate cross-functionally and bring insights from the field to influence Product and GTM

Requirements

• 6+ years of B2B SaaS sales experience, ideally including time in early-stage, new product, or evolving GTM environments
• Proven ability to generate pipeline and close deals in ambiguous or evolving markets
• Strong experience with qualification frameworks such as MEDDICC, SPICED, or similar
• Demonstrated use of value selling methodologies such as Command of the Message or equivalent
• Experience selling to mid-market and enterprise customers, including executive stakeholders
• Consistent track record of meeting or exceeding sales targets
• High ownership mentality - you take initiative and move things forward without waiting for direction
• Thrive in ambiguity and are comfortable operating without a fully defined playbook
• Curious and business-oriented, with the ability to connect customer problems to solutions
• Resourceful and adaptable - you figure things out and adjust quickly
• Strong collaborator who contributes positively to team culture
• Experience using Salesforce or similar CRM tools to manage pipeline and forecast
• Strong organizational skills and ability to manage multiple complex deals

Preferred Qualifications

• Experience selling a new or emerging product within an existing portfolio
• Experience working in high-change or transformation environments
• BA/BS degree or equivalent experience
• General familiarity with AI or productivity tools

Compensation

US Zone 2: $187,900-$254,100 USD US Zone 3: $166,900-$225,900 USD

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As a key member of our engineering team, you will own and operate Figma's core observability stack, including vendor platforms such as Datadog, ensuring high availability, strong data quality, and effective signal-to-noise across metrics, logs, and traces.

You will define and drive the technical strategy for instrumentation standards, observability libraries, agents, and operators used to monitor internal and external facing services. You will also explore and implement innovative, AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.

In addition, you will establish clear frameworks for cost attribution, budgeting, forecasting, and alerting across infrastructure and observability spend, enabling teams to make informed tradeoffs.

You will partner with infrastructure, product engineering, finance, and security teams to improve visibility into system health and cost efficiency at scale.

You will lead initiatives to optimize observability footprint and spend, balancing depth of insight with performance and cost considerations.

You will coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, collaboration, and high-quality execution.

We are looking for someone with 4+ years of experience leading infrastructure, observability, or platform engineering teams, with a track record of delivering highly reliable production systems.

You should have deep hands-on experience with modern observability platforms (e.g., Datadog, OpenTelemetry) across metrics, logs, and distributed tracing.

You should have a strong understanding of distributed systems, instrumentation best practices, SLO design, and incident response workflows.

Experience driving cost transparency and accountability initiatives, including cost attribution, budgeting, forecasting, and alerting in cloud environments is also required.

Preferred skills include experience designing or evolving company-wide observability standards, shared libraries, and agent/operator-based integrations, background in cost optimization for infrastructure or observability tooling, including vendor negotiations and usage modeling, and experience applying AI or machine learning techniques to anomaly detection, root cause analysis, or operational automation.

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In this role, you will focus on identity and access management, secure collaboration, endpoint/VDI, and SaaS governance. You will partner closely with IT Engineering, Security, People, and Compliance to make access secure by default, reduce friction in onboarding and offboarding, and improve the overall employee experience.

About the role:

You will translate requirements from Security, Compliance, IT, and business stakeholders into clear product outcomes across platforms such as Okta, Opal, VDI, MDM, Google Workspace, Slack, Zoom, and other SaaS applications. You will help convert the existing Staff IT Systems Engineer responsibilities into scalable, measurable product capabilities that align with the IT Infra and Ops charter.

Own the product vision, strategy, and roadmap for IAM and security-aligned IT infrastructure, including Okta, access governance, endpoint management, and VDI, aligned to IT Infra and Ops priorities.

Act as a primary product partner and escalation point for Engineering and Security on identity, access, and secure remote access, helping prioritize and resolve high-impact issues.

Define and improve end-to-end joiner, mover, and leaver flows, ensuring user provisioning, de-provisioning, and access changes are secure, automated, and reliable.

Establish standards for SSO integrations and app onboarding and offboarding in Okta, working with engineers to onboard new applications, deprecate legacy patterns, and maintain a consistent SSO experience.

Design and roll out access policies, baseline RBAC, and Just-in-Time and time-bound access patterns in partnership with Security, Compliance, and IT Engineering, with clear controls and auditability.

Own the VDI and secure remote access experience as a product surface, partnering with engineering on performance, reliability, and hardening, and defining SLIs, SLOs, and incident playbooks.

Collaborate with Security, People, and IT to define automated onboarding and offboarding processes that cover identity, devices, collaboration tools, and privileged access.

Define requirements for automation, policies, and scripts using vendor APIs to manage company devices and SaaS services such as Google Workspace, Slack, Zoom, and MDM tools.

Partner with IT Infra and Ops and Finance to support asset and SaaS lifecycle management, including inventory visibility, licensing utilization, and access governance for endpoints and applications.

Ensure documentation, runbooks, and training material for IAM, VDI, and related security and IT processes are accurate, accessible, and kept up to date for internal employees and IT staff.

Build strong relationships with IT Engineering, Security, Compliance, People, and business stakeholders, with clear intake, prioritization, and communication around roadmap, tradeoffs, and delivery.

Define and track key metrics such as time-to-access for new hires, reduction in access-related tickets, SSO coverage, QAR completion, and control failures, and use these metrics to drive prioritization.

Who You Are:

7+ years of experience in IT product management, technical program management, or systems engineering roles focused on SaaS, identity, security, or endpoint platforms.

Practical experience with administration or close partnership on platforms such as Okta (Identity Engine and Identity Governance), Google Workspace, Slack, Zoom, MDM or endpoint management tools, and VDI solutions.

Strong understanding of identity and access management concepts and practices, including SSO, federation, RBAC, joiner and leaver lifecycle, privileged access, and quarterly access reviews.

Experience collaborating with or supporting Microsoft, Linux, and Mac user environments, especially for secure access, device management, and productivity tooling.

Demonstrated experience defining and driving automation workflows and integrations that remove manual IT and security tasks, such as access provisioning, group management, and device or SaaS lifecycle actions.

Familiarity with CI or CD tools and Git, and the ability to work closely with engineers on configuration, releases, and environment management.

Comfort working with at least one programming or scripting language, such as Python or Go, at a level sufficient to understand implementation options and tradeoffs.

Experience partnering with Security and Compliance on access controls, ITGCs, and IT application controls for frameworks such as SOX or SOC 2, including control design and evidence collection.

Strong written and verbal communication skills, with the ability to translate technical and security concepts into clear product narratives and decisions for both technical and non-technical audiences.

Preferred:

Experience in high-growth, cloud-native, or security-sensitive environments where identity, access, and endpoint posture are tightly linked to customer and compliance expectations.

Prior ownership of IAM or security products such as Okta, Opal, CyberArk, VDI, or device management platforms as a product manager or TPM.

Familiarity with automation and infrastructure-as-code tooling such as Terraform, Ansible, Chef, Intune, Jamf, or similar technologies.

Experience contributing to or leading M&A-related migrations involving identity consolidation, SSO rationalization, or access model redesign.

Exposure to AI or agent-based IT support models and interest in using them to reduce IT ticket volume and improve time to resolution.

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 takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and market conditions.

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You will help organisations move beyond static dashboards to governed, conversational, AI-powered analytics at the centre of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

Key responsibilities include:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernise analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

Requirements include:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts

Preferred qualifications include:

• Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot
• Familiarity with semantic layers, metrics stores, or governed data models
• Understanding of lakehouse architectures and cloud data platforms
• Exposure to GenAI, natural language interfaces, or conversational applications
• Consulting or solution design experience in customer-facing roles

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

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

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

Creating a career you love? It’s Possible.

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

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

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

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

We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

This is a hands-on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python.

You'll work end-to-end , from discovery and scoping through prototyping, launch, and iteration , using the latest agentic frameworks, tool-calling patterns, and responsible AI practices.

What you'll do:

• Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities.
• Map and improve business processes: document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance).
• Design end-to-end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users.
• Build and ship production-quality software: Write clean, maintainable code and tests.
• Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage.
• Champion for responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data.
• Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams.
• Accelerate Workflows with Generative AI and Automation: Leverage AI to accelerate execution (e.g., draft, prototype, outline), explore alternative solutions using AI (iterate, compare approaches), synthesize information with AI (summarize, distill key themes), automate repeatable work (documentation, reporting, QA checks)

What we're looking for:

We're looking for mid-level engineers who have already shipped something real with AI , and who can work as a peer with non-technical business partners, not just as an order-taker.

Specifically, you bring:

• Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems , backend services, internal tools, integrations, or data applications.
• Hands-on AI and automation delivery. You've shipped AI-powered or automation-driven solutions in a real environment.
• Agentic AI literacy. You understand how modern agentic systems are constructed , the difference between local and remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how A2A (Agent-to-Agent) coordination is structured.
• System design and architecture thinking. You can sketch a data flow, reason about integration points, evaluate trade-offs between approaches, and design for failure , including fallbacks, retry logic, timeouts, and human escalation paths.
• Data and security judgment. You understand data access controls, the risks of giving AI broad access to sensitive information, PII minimization, audit logging, and what responsible data handling looks like in an enterprise environment.
• Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations , understanding their workflows, KPIs, and constraints well enough to scope solutions that fit their real needs.
• Clear, collaborative communication. You can explain architecture trade-offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon.

Preferred Qualifications:

• Experience working embedded with or alongside corporate / G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar).
• Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling.
• Familiarity with MCP server design , including building, deploying, and securing MCP-compliant tool servers.
• Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human-in-the-loop review queues, or A/B testing of AI-powered features.
• Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII-sensitive / regulated domains.
• Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or enterprise search integrations.
• Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM-powered features.

Relocation Statement:

This position is not eligible for relocation assistance.

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

In-Office Requirement Statement:

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE #LI-KBF

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As a key member of the GTM S&O team, the successful candidate will play a critical role in driving demand generation and revenue growth via depth analysis of pipeline, sales development performance, and incremental growth programs.

This person will partner with the leader of the Sales Development organization to create and execute the strategy for the future of sales development, incorporating agentic AI into critical workflows to boost productivity.

This leader will be responsible for establishing and preparing the Sales Development forecast and performance metrics, planning resource allocation, and territory planning and scaling best practices.

This person will also coordinate Sales Development programs across critical functions, such as marketing, partners, and sales to ensure an integrated pipeline motion.

Responsibilities:

• Drive AI workflows and agentic integration pipeline strategy to bolster productivity and ensure seamless lead to opportunity processes

• Align with cross-functional teams (e.g. Sales, marketing, partners, pipe analytics) to drive the rhythm of the business – e.g., the tools, cadences & metrics to evaluate on a regular basis to ensure the successful growth of the business

• Own planning for the Sales Development organization, including territories, quotas, and comp plan execution

• Collect, analyze, evaluate, and report Sales Development performance data to identify leading indicators and trends and drive productivity improvements

• Identify and scale best practices to drive incremental growth across global sales development businesses

• Develop programmatic initiatives in coordination with other functions (e.g., enablement, sales programs, etc.) to ensure the success of key investment areas

• Lead content development for key reviews (e.g., QBRs)

• Support incorporation of new products into demand generation activities

What We Look For:

• Proven track record of success in GTM strategy & ops leadership roles, preferably in the AI or technology industry

• In-depth understanding of GTM S&O functional areas, including annual planning, forecasting, pipeline management

• Strong strategic thinking, business acumen, and the ability to translate market trends into actionable sales strategies

• Exceptional leadership and team-building skills, with a focus on fostering a positive and collaborative work environment; – proven success in attracting, developing, and retaining talent

• Excellent communication and interpersonal skills, with the ability to engage with C-level executives and key stakeholders

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $232,600-$319,900 USD

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

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

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

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

Responsibilities:

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

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

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

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

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

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

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

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

Requirements:

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

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

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

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

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

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

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

Preferred Qualifications:

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

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

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

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The Director, Demand Generation will lead how we go to market with our executive integrated campaigns across key audiences , CIO, CTO, CDO, CISO, and CMO. You’ll drive visibility, engagement, and pipeline creation with top decision-makers while scaling a high-performing global campaign engine.

This is a pivotal leadership role responsible for strategy, orchestration, and measurable impact worldwide, setting the foundation for our next stage of growth. You’ll partner closely with teams across Corporate Brand, Events, Product and Solutions Marketing, Industry Marketing, Field Marketing Analytics, and Marketing Operations to deliver cohesive, data-driven, and scalable executive programs.

The impact you will have:

Global Orchestration - Lead alignment and operational rhythm with cross-functional leaders to craft an integrated, data-driven executive marketing strategy.

Develop consistent global programs with aligned goals, messaging, and measurable business outcomes.

Connect demand generation initiatives to broader brand-building efforts and category-creation strategies that resonate with C-level executives.

Deliver clear executive summaries, data insights, and recommendations that guide decision-making across the organization.

Team Leadership & Development - Direct, mentor, and inspire a team of high-performing campaign managers focused on global integrated campaign execution.

Define team structure and talent needs, drive recruiting and onboarding, and maintain a consistently high standard of talent.

Build a culture of continuous learning and accountability by setting clear expectations, providing coaching, and offering professional development opportunities.

Pipeline Growth & Accountability - Own and deliver global executive engagement and pipeline targets, partnering across functions to optimize ROI.

Ensure campaign strategies and investments translate into measurable pipeline contribution and long-term customer relationships.

Strategic Leadership & Innovation - Establish a global strategic roadmap to test, optimize, and scale future programming informed by data, insights, and performance learnings.

Serve as the filter and guide for business priorities, ensuring the team focuses on high-impact activities.

Leverage prior experience and innovation to continuously evolve our approach, tools, and executional excellence at scale.

What we look for:

Experience: 10+ years of managing global integrated campaigns with direct pipeline accountability and a proven track record of exceeding targets. With experience in marketing to executive audiences.

Cross-functional alignment and stakeholder management: Proven ability to work with various cross-functional stakeholders to develop integrated programs that drive joint outcomes.

Team Leadership: 5+ years building, inspiring, and leading high-performing teams with global pipeline and efficiency accountability.

Data & Analytics: Advanced proficiency in pipeline attribution, conversion analysis, and ROI optimization using SFDC, Tableau (or other dashboard systems), and marketing automation platforms

Hyper-Growth Experience: 7+ years scaling integrated campaigns in fast-growing tech companies.

Systems & Process: Experience implementing scalable marketing operations, lead management systems, and cross-functional workflows

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 base 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 anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $183,400-$252,250 USD

Zone 2 Pay Range $165,100-$227,050 USD

Zone 3 Pay Range $155,900-$214,400 USD

Zone 4 Pay Range $146,700-$201,750 USD

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The Operations & Maintenance Technician is responsible for the safe, reliable, and efficient operation and maintenance of a 1.2 GW behind-the-meter simple-cycle load following facility.

This is a true multi-skilled "hybrid" position requiring proven hands-on expertise in control room operations, mechanical maintenance, electrical, instrumentation & controls (I&C), and water treatment/chemistry for the LM6000 platform.

Responsibilities

• Perform Control Room Operator duties:

Safely start, operate, monitor, and shut down LM6000 gas turbines and BOP systems. Execute fast-start dispatches, respond to alarms, and provide effective communication to the facility operations team. Maintain shift logs, LOTO records, and regulatory compliance documentation

• Perform Mechanical maintenance specific to LM6000:

Perform Level 1–2 maintenance, borescope inspections, combustor/TBC inspections, and unit alignment. Replace VBV/IGV actuators, perform lube oil system maintenance, and service starters/clutches

• Perform Electrical maintenance:

Test and maintain 13.8 kV switchgear, generator breakers, and MODs Test exciter, and AVR; calibrate protective relays; support black-start diesel Troubleshoot 480 V MCCs, test motors, and perform infrared thermography

• Perform Instrumentation & Controls (I&C) duties:

Calibrate and troubleshoot vibration, temperature, pressure, and speed sensors Test fire & gas systems (Det-Tronics, etc.) and perform loop checks

• Perform Water Treatment & Chemistry duties:

Operate Reverse Osmosis/demineralized water system daily for NOx water, SPRINT, fogging, and water wash system. Test water purity (conductivity, silica, TDS, ph), dose chemicals, and regenerate resin beds

• Execute LOTO, hot work, confined-space permits
• Lead or support scheduled LM6000 borescope, combustion, and hot section outages
• Maintain critical spares inventory and CMMS records.
• Mentor apprentices and contractors

Basic Qualifications

• Minimum 2–5 years of direct hands-on experience on LM 6000 aeroderivative turbines (Level 1/2/3 maintenance qualified strongly preferred)
• Demonstrated competency in at least three of the five core disciplines: Control Room Operations, Mechanical, Electrical, I&C, and Water Treatment/Chemistry
• Ability to read and interpret LM6000-specific P&IDs, electrical one-line diagrams, Medium-voltage experience is a plus
• Strong computer skills
• Valid driver’s license and ability to pass background check, drug screen, respiratory fit test, and physical
• Physical Requirements:

Work at heights, in confined spaces, and around high-voltage equipment Lift 50+ lbs repeatedly, climb turbine enclosures, and wear full PPE including respirator Tolerate high heat and humidity inside LM6000 enclosures and outdoor extreme weather conditions

Preferred Skills and Experience

• LM6000 Level 1, 2, or 3 Maintenance Certification
• DCS Maintenance & Troubleshooting
• NFPA 70E Electrical Safety
• Vibration Analyst Category II or higher

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This role goes beyond delivering within existing patterns. You'll improve foundational modeling decisions, reducing rework, and establishing standards that scale.

Responsibilities

• Design and build core analytical data models in BigQuery using dbt
• Refactor and restructure existing models to improve clarity, consistency, and ease of use
• Partner directly with solution teams to translate business needs into well-defined, reusable data models
• Define and enforce modeling standards, conventions, and layer contracts
• Standardize identifiers and business logic early in the transformation layer to reduce downstream complexity
• Centralize shared business rules and definitions to enable consistent, trusted analytics
• Explore and apply AI-assisted approaches, to improve analytics workflows

Requirements

• Strong expertise in Python and SQL and analytics data modeling
• 5+ years of experience in analytics engineering, data engineering, or a related role
• Hands-on experience designing analytics layers in BigQuery and dbt
• Proven ability to create analyst-friendly data models with clear structure and predictable behavior
• Experience setting standards and influencing how data is modeled and consumed across teams
• Strong analytical thinking and problem-solving skills
• Clear written and verbal communication skills

Bonus Points

• Experience working in a distributed or remote-first environment
• Familiarity with metric definitions, or semantic layers
• Experience applying AI or automation to analytics or data modeling workflows

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD.

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Location: Bellevue, Washington

Department: Education & Training

CSQ227R234

About the Role

This role is required to work in a hybrid office setting in our Bellevue, WA office.

The Opportunity

Databricks runs some of the largest customer enablement programs in the industry , workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist turns that reach into results. You connect engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact.

This isn’t a sales or business development role , every conversation begins with an existing Databricks user or program participant. Your focus is on helping those customers move from initial interest to tangible capability: skilled teams, completed training milestones, and activated use cases.

You’ll manage a broad portfolio of accounts, supporting new and emerging personas , business users, analysts, and app developers , and helping them succeed with Databricks’ latest innovations in AI/BI, Databricks Apps, and agent-based development.

What You'll Do

• Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements.

• Own a high-volume enablement pipeline , identifying learner needs, recommending tailored paths, and tracking adoption progress.

• Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks.

• Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.

• Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.

• Report key metrics , trained accounts, learner growth, conversion rates, and training revenue , using data to guide your priorities.

• Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.

What You Bring

• 2–4 years in a technical, customer-facing role , technical training, pre-sales, enablement, or customer success preferred.

• Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).

• Confidence delivering introductory technical content to non-expert audiences.

• Working knowledge of AI/ML concepts , able to explain how Databricks enables practical use cases.

• Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.

• A data-driven mindset with strong organisational habits and comfort managing many concurrent accounts.

• Team-first attitude , proactive collaborator who knows when to escalate for deeper technical support.

Bonus Points

• Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months).

• Background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI).

• Exposure to Databricks Apps, REST APIs, or AI agent concepts.

• Experience in a role with enablement or training-related revenue metrics.

Why This Role, Why Now

New products create new skill gaps. As Databricks expands into AI/BI, Databricks Apps, and agent-based development, a new wave of users , business analysts, app builders, domain experts , needs to get skilled up quickly. The depth CEA team focuses on the complex, strategic, and deeply technical. This role focuses on the broad middle: high volume, new personas, and the scale-to-commitment motion that turns digital participation into real adoption. It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you build depth and track record.

Pay Range Transparency

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

Zone 2 Pay Range $86,600-$119,150 USD

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Your responsibilities will include:

• Utilizing proprietary software to provide accurate input and labels for tax law projects, ensuring high-quality data for AI model training.
• Delivering curated, high-quality data for tax law scenarios involving complex structures for clients, including trust and estate taxation documents, charitable gifting strategies and agreements, private foundation formation and compliance materials, tax opinions on diverse assets (real estate, private equity, art, cryptocurrency, and alternative investments), wealth transfer planning (GRATs, IDGTs, dynasty trusts), and substantial estate and gift tax filings.
• Collaborating with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assisting in designing and improving efficient annotation tools tailored for tax law and wealth planning documentation.
• Selecting and analyzing complex problems in tax law fields aligned with your expertise to enhance AI model performance.
• Interpreting, analyzing, and executing tasks based on evolving instructions, maintaining precision and adaptability.

To be successful in this role, you will need:

• A Juris Doctor (J.D.) degree and active admission to a state bar.
• Professional experience at a top-tier white-shoe law firm and/or a leading boutique tax firm.
• Direct experience in sophisticated tax law work, including drafting and reviewing trust and estate planning documents, private foundation materials, charitable gifting strategies, complex wealth transfer structures, and tax opinions on diverse asset classes.
• Strong understanding of federal and state income taxation, estate and gift taxation, private client services, and regulatory compliance in high-wealth scenarios.
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in legal practice.

Preferred qualifications include extensive transactional experience in wealth transfer taxation, trust and estate planning, private foundations, or charitable giving strategies at a white-shoe or boutique tax firm, proven track record handling tax implications of complex asset portfolios and substantial wealth transfers, experience reviewing tax opinions, foundation compliance filings, and planning documents for accuracy, completeness, and regulatory compliance, comfort with recording audio or video sessions for data collection, and familiarity with AI or data annotation workflows in a technical setting.

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You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.

Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

What we look for:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts
• Bachelors Degree or equivalent experience

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Your main objective will be to convert participation in Databricks' scale programs (webinars, workshops, digital learning) into structured training engagements. You will own a high-volume enablement pipeline, identifying learner needs, recommending tailored paths, and tracking adoption progress.

To achieve this, you will deliver engaging L100–L200 sessions and demos to help new personas understand what's possible with Databricks. You will build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.

You will partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles. You will report key metrics – trained accounts, learner growth, conversion rates, and training revenue – using data to guide your priorities.

In addition, you will provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.

We are looking for a highly motivated and organized individual with excellent communication skills and a consultative approach. You should have hands-on familiarity with modern data and analytics platforms, confidence delivering introductory technical content to non-expert audiences, and a working knowledge of AI/ML concepts.

If you are passionate about helping customers succeed and have a strong desire to learn and grow with our company, we encourage you to apply for this exciting opportunity.

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We're looking for a highly skilled Member of Technical Staff to join our team at xAI. As a key member of our team, you will design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments.

Responsibilities:

• Design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments
• Develop secure, scalable solutions for use cases such as policy analysis, edtech, scientific research support, public health modeling, regulatory workflows, and citizen-facing services across diverse global contexts
• Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for international government and enterprise developers
• Partner with international agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback, including during on-site assignments
• Contribute to safe deployment practices, including red-teaming, bias evaluation, output filtering, and explainability features for high-stakes non-classified applications in varied regulatory landscapes
• Fine-tune and adapt xAI models for specific international government use cases, incorporating custom guardrails and evaluation frameworks to ensure alignment with mission objectives and ethical guidelines
• Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact

Basic Qualifications:

• 4+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency required; other languages a plus)
• Experience fine-tuning AI models for government or mission-critical use cases, including building evaluations and ensuring safety and performance
• Experience deploying complex AI and data systems in sovereign environments, ensuring compliance with international regulations for technology and AI in government or public sector settings
• Willingness and ability to undertake travel and international assignments to regions such as the Americas, Asia, and the Middle East and potentially more.
• Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions
• Demonstrated ability to write clean, maintainable, high-performance code under tight timelines
• Exceptional problem-solving skills and intellectual curiosity,you thrive on hard, ambiguous challenges
• Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely

Preferred Skills and Experience:

• Prior work on AI safety, governance, red-teaming, or responsible AI deployment
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration
• Background in policy-adjacent technical roles, civic tech, or public-interest technology with an international focus
• Contributions to open-source AI projects or developer tools

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In this role, you will leverage your expertise in structured finance and credit products, including securitization structures (ABS, CMBS, MBS, CLOs, CDOs), syndicated and leveraged loans, and project finance to support the training of advanced AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for structured finance projects, ensuring high-quality data for AI model training.

• Deliver curated, high-quality data for structured finance scenarios involving securitization structures (ABS, CMBS, MBS, CLOs, CDOs), syndicated/leveraged loans, and project finance across deal structuring, credit enhancement mechanisms, cash flow waterfall modeling, tranche valuation, collateral and portfolio performance analysis, and transaction documentation.

• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

• Assist in designing and improving efficient annotation tools tailored for structured finance data.

• Select and analyze complex problems in structured finance fields aligned with your expertise to enhance AI model performance.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in structured finance or related fields (e.g., investment banker, structurer, credit risk manager, rating agency analyst, structured credit trader, ABS/CMBS/MBS/CLO portfolio manager, or surveillance/operations analyst)

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in financial analysis.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., CFA, FRM, Series 7, Series 63, or similar financial certification).

• Experience mentoring or training others in structured finance or related credit practices.

• Comfort with recording audio or video sessions for data collection.

• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in debt capital markets transactions, bond offerings, syndicated loans, credit facilities, debt refinancing, liability management exercises, covenant structuring, offering memorandum drafting, roadshows, and debt issuance processes to support the training of AI systems.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for DCM investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving debt capital markets transactions, bond offerings, syndicated loans, credit facilities, debt refinancing, liability management exercises, covenant structuring, offering memorandum drafting, roadshows, and debt issuance processes.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for DCM investment banking data.
• Select and analyze complex problems in DCM investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in DCM investment banking or related fields (e.g., DCM analyst, associate, vice president or director in investment banking focused on debt capital markets or related fields).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in DCM investment banking.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in DCM investment banking practices, such as financial modeling, credit analysis, debt structuring, or debt syndication.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in private credit transactions and analysis, including direct lending, unitranche facilities, mezzanine financing, sponsored lending, middle market credit underwriting, loan documentation and structuring, covenant negotiation, collateral analysis, portfolio monitoring, distressed and special situations investing, asset-based lending, and recovery analysis to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world private credit market dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for private credit projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving direct lending transactions, credit underwriting and analysis, loan structuring, covenant negotiation, sponsor due diligence, portfolio company monitoring, collateral valuation, distressed debt investing, and special situations analysis.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for private credit investment data.
• Select and analyze complex problems in private credit markets aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in private credit or related fields (e.g., credit analyst, underwriter, portfolio manager, or investment professional at direct lending funds, BDCs, credit-focused private equity firms, or specialty finance companies).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in private credit markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., CFA, CAIA, FRM or similar finance-related certification).
• Experience mentoring or training others in private credit practices, such as credit underwriting, loan structuring, covenant analysis, or portfolio monitoring.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in fixed income trading and analysis, including government and corporate bond trading, interest rate derivatives, credit analysis, yield curve construction, portfolio management, securitized products, relative value analysis, duration and convexity hedging, spread analysis, fixed income, currencies and commodities (FICC) research, and fixed income pricing methodologies to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world fixed income market dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for fixed income projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving fixed income trading, bond valuation, interest rate products, credit spread analysis, portfolio construction, securitized products, yield curve strategies, hedging techniques, and market-making activities.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for fixed income market data.
• Select and analyze complex problems in fixed income markets aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in fixed income markets or related fields (e.g., FICC research, fixed income trader, portfolio manager, credit research analyst, sales professional, or quantitative analyst focused on rates, credit, or securitized products).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in fixed income markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM or similar finance-related certification).
• Experience mentoring or training others in fixed income practices, such as bond valuation, yield analysis, duration management, or trading strategies.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world fixed income market dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for fixed income projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving fixed income trading, bond valuation, interest rate products, credit spread analysis, portfolio construction, securitized products, yield curve strategies, hedging techniques, and market-making activities.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for fixed income market data.
• Select and analyze complex problems in fixed income markets aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in fixed income markets or related fields (e.g., FICC research, fixed income trader, portfolio manager, credit research analyst, sales professional, or quantitative analyst focused on rates, credit, or securitized products).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in fixed income markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM or similar finance-related certification).
• Experience mentoring or training others in fixed income practices, such as bond valuation, yield analysis, duration management, or trading strategies.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

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In this role, you will leverage your expertise in credit risk assessment and analysis, including financial statement analysis, credit risk modeling, covenant analysis, leverage and coverage ratio calculations, industry and company research, cash flow analysis, debt capacity assessments, credit memo preparation, counterparty risk evaluation, rating methodologies, credit monitoring, and risk mitigation strategies to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world private credit analysis dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for private credit projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving financial statement analysis, credit risk assessment, covenant compliance evaluation, debt capacity modeling, industry benchmarking, cash flow projections, rating analysis, and credit monitoring activities.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for credit analysis data.
• Select and analyze complex problems in credit analysis aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in credit analysis or related fields (e.g., credit analyst, underwriter, or risk professional at commercial banks, investment banks, rating agencies, insurance companies, or corporate credit departments).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in credit analysis.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., CFA, FRM, CRC or similar finance-related certification).
• Experience mentoring or training others in private credit practices, such as credit underwriting, loan structuring, covenant analysis, or portfolio monitoring.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in corporate transactions, securities filings, and investment banking legal work to support the training of advanced AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal analysis and corporate documentation dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for corporate law and securities projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for corporate law scenarios involving securities filings (10-Ks, 10-Qs, 8-Ks, S-1s), investment banking transaction documentation (prospectuses, offering memoranda, indentures, credit agreements), M&A documentation (merger agreements, purchase agreements, disclosure schedules), corporate governance materials, and regulatory compliance filings.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for corporate law and securities documentation.
• Select and analyze complex problems in corporate law and securities fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Juris Doctor (J.D.) degree and active admission to a state bar.
• Professional experience at a top-tier white shoe law firm or as legal counsel at a bulge bracket investment bank.
• Direct experience in corporate law and securities work, including drafting and reviewing SEC filings (10-Ks, 10-Qs, 8-Ks, registration statements), investment banking transaction documents (prospectuses, offering memoranda, bond indentures), and/or M&A documentation.
• Strong understanding of securities law, corporate governance, and capital markets transactions.
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in legal practice.

Preferred Skills and Experience:

• Transactional experience in debt capital markets, equity capital markets, or M&A at a top law firm or investment bank.
• Experience reviewing disclosure documents for accuracy, completeness, and regulatory compliance.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $100/hour - $200/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

RESPONSIBILITIES:

• Process appeals, audit automations, and label use cases in the system.

• Provide labels, annotations, and inputs on projects involving safety protocols, risk scenarios, and policy compliance.

• Support the delivery of high-quality curated data that reinforces xAI's rules and ethical alignment.

• Collaborate with team members to provide feedback on tasks that improve AI's defenses to detect illegal and unethical behaviour, as well as align Grok with our rules enforcement.

BASIC QUALIFICATIONS:

• Expertise in improving Large Language Models (LLMs) to maximise efficiencies in enforcement and support and ability to propose solutions to increase security and safety of our platform.

• Proven experience in online safety and reducing harm to protect our users and preserve Free Speech in the global public square.

• Ability to interpret and apply xAI safety policies effectively.

• Proficiency in analysing complex scenarios, with strong skills in ethical reasoning and risk assessment.

• Strong ability to utilise resources, guidelines, and frameworks for accurate safety-focused actions and escalations.

• Strong communication, interpersonal, analytical, and ethical decision-making skills.

• Commitment to continuous improvement of processes to prioritise safety and risk mitigation.

• Expertise in data analysis to identify emerging abuse vectors, uncover opportunities for operational efficiencies, and design automations that strengthen enforcement effectiveness and platform safety.

PREFERRED SKILLS AND EXPERIENCE:

• Experience working in a Trust and Safety for a social media company, leveraging AI or other automation tools.

• Expertise in red-teaming and adversarial testing of Large Language Models to proactively identify novel abuse vectors, jailbreaks, and safety failure modes, with a proven ability to translate findings into concrete improvements for enforcement systems and platform robustness.

This role may involve exposure to sensitive or graphic content, including vulgar language, violent threats, pornography, and other graphic images.

COMPENSATION AND BENEFITS:

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

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In this role, you will leverage your expertise in complex tax structuring, wealth transfer taxation, trust and estate planning, charitable gifting strategies, private foundations, and the tax implications of diverse assets to support the training of advanced AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world tax analysis, sophisticated planning documentation, and high-stakes wealth transfer dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for tax law projects, ensuring high-quality data for AI model training.

• Deliver curated, high-quality data for tax law scenarios involving complex structures for clients, including trust and estate taxation documents, charitable gifting strategies and agreements, private foundation formation and compliance materials, tax opinions on diverse assets (real estate, private equity, art, cryptocurrency, and alternative investments), wealth transfer planning (GRATs, IDGTs, dynasty trusts), and substantial estate and gift tax filings.

• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

• Assist in designing and improving efficient annotation tools tailored for tax law and wealth planning documentation.

• Select and analyze complex problems in tax law fields aligned with your expertise to enhance AI model performance.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Required Qualifications:

• Juris Doctor (J.D.) degree and active admission to a state bar.

• Professional experience at a top-tier white-shoe law firm and/or a leading boutique tax firm.

• Direct experience in sophisticated tax law work, including drafting and reviewing trust and estate planning documents, private foundation materials, charitable gifting strategies, complex wealth transfer structures, and tax opinions on diverse asset classes.

• Strong understanding of federal and state income taxation, estate and gift taxation, private client services, and regulatory compliance in high-wealth scenarios.

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in legal practice.

Preferred Qualifications:

• Extensive transactional experience in wealth transfer taxation, trust and estate planning, private foundations, or charitable giving strategies at a white-shoe or boutique tax firm.

• Proven track record handling tax implications of complex asset portfolios and substantial wealth transfers.

• Experience reviewing tax opinions, foundation compliance filings, and planning documents for accuracy, completeness, and regulatory compliance.

• Comfort with recording audio or video sessions for data collection.

• Familiarity with AI or data annotation workflows in a technical setting.

XML job scraping automation by YubHub

In this role, you will leverage your expertise in patient care coordination, medical billing, administrative workflows, and healthcare operations to support the training of AI systems.

Responsibilities: Provide accurate input and labels for healthcare and administration projects using proprietary software. Deliver curated, high-quality data for scenarios involving patient care coordination, medical billing, administrative workflows, and healthcare operations. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for healthcare and administration data. Select and analyze complex problems in healthcare and administration fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications: Professional experience in healthcare administration or related fields. Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in healthcare and administration processes.

Preferred Skills and Experience: Relevant certification or training in healthcare administration. Experience mentoring or training others in healthcare administration or operational practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions. For contractor positions, hours will vary widely based on project scope and contractor availability. Tutor roles may be performed remotely from any location worldwide. For US-based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Specific details and role-specific information will be provided to you during the interview process.

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This role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount.

You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.

Responsibilities:

• Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes.

• Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.

• Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth.

Operational Intelligence & Scalability:

• Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations.

• Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.

Data & Model Optimization:

• Lead fine-tuning and contextual optimization of AI models using Yuno's proprietary data.

• Continuously refine performance through structured feedback loops, observability metrics, and user interaction data.

• Ensure adherence to privacy, compliance, and ethical AI principles in all model development.

Cross-Functional Collaboration & Innovation:

• Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno.

• Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.

• Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.

The skills you need:

• 5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.

• Strong engineering and product mindset, capable of balancing technical depth with strategic impact.

• Exceptional communication and collaboration skills to work across product, engineering, and data functions.

• Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation.

• Willing to work from the Hyderabad office.

Minimum Qualifications:

• LLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.

• AI Agents & Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.

• Fine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.

• Programming & Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX.

• AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.

• Observability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.

• API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.

Preferred Qualifications:

• Experience using LlamaIndex, Hugging Face, or similar open-source frameworks.

• Strong understanding of context optimization, embedding strategies, and knowledge retrieval.

• Familiarity with MLOps, CI/CD pipelines, and production deployment best practices.

• Prior experience in fintech, payments, or other data-intensive and regulated industries.

• Analytical rigor and ability to translate business objectives into measurable AI outcomes.

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This position offers an exciting opportunity to apply your technical expertise in autonomy and system integration while growing your skills in a fast-paced and collaborative environment. You will work on cutting-edge projects that advance the capabilities of autonomous systems and ensure their seamless integration into real-world platforms.

Responsibilities:

• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Assist in developing autonomy algorithms for path planning, decision-making, perception, and control to meet system performance and mission requirements.
• Support the integration of autonomy algorithms with platform hardware and software, including sensors, control systems, and communication interfaces.
• Conduct simulation-based testing (HIL/SIL) and participate in live system tests to validate autonomy functionality and identify areas for improvement.
• Work closely with software developers, systems engineers, and testing teams to ensure alignment of autonomy capabilities with overall system architecture and mission goals.
• Debug and optimize autonomy systems to enhance performance, reliability, and adaptability.
• Contribute to technical documentation, test reports, and presentations for stakeholders and team members.
• Stay current on emerging trends and technologies in robotics, autonomy, and AI to incorporate best practices into development efforts.

Requirements:

• Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred).
• 10+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems.
• 2+ years managing technical teams.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Familiarity with open architecture standards (e.g., OMS/UCI or FACE) and regulatory standards (e.g., DO-178C).
• Active SECRET Clearance.

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Mistral AI is a technology company that develops and provides AI-powered solutions and platforms for enterprise use. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

As a CyberSecurity Team Lead, you will be responsible for architecting and enforcing the security posture of our entire technical stack, from on-premise foundations to cloud-native deployments. You will oversee the identification, prioritization, and remediation of vulnerabilities across both On-Prem and Cloud infrastructures as well as internal applications.

Responsibilities

• Oversee the identification, prioritization, and remediation of vulnerabilities across both On-Prem and Cloud infrastructures as well as internal applications.
• Select, deploy, and maintain the tools needed for visibility and protection, including CNAPP, CSPM, SAST/DAST, secret scanning, and SBOM/CVE tracking.
• Integrate security controls and automated gates directly into CI/CD pipelines to catch vulnerabilities before deployment (Shift Left).
• Partner with engineering teams to interpret findings and 'ease the fix,' providing patches, code snippets, or architectural advice to resolve issues quickly.
• Define and maintain rigorous security guidelines and best practices for developers and system administrators.
• Design and lead security awareness programs and technical training tailored for developers and admins to reduce human risk.
• Track and define key security metrics (MTTR, coverage, vulnerability density) to visualize posture and progress to leadership.

Requirements

• 6+ years of experience in Information Security, with a specific focus on Application Security, Cloud Security, or DevSecOps.
• Strong scripting skills (Python, Go, or Bash) to automate security tasks and integrate tools.
• Deep understanding of CI/CD ecosystems and container orchestration (Kubernetes/Docker).
• Hands-on experience with modern security tooling (e.g., Wiz, Snyk, SonarQube, Prisma, or similar enterprise tools).
• Collaborative mindset: you view developers as partners, not adversaries, and focus on enabling them to code securely.
• Clear communication, autonomous, and capable of translating technical security risks into actionable engineering tasks.

Benefits

• Competitive salary
• Comprehensive health insurance
• Flexible working hours
• Professional development opportunities

Note: The company may offer additional benefits not listed here.

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The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.

As a first Evaluation Engineer, you'll design the methodology, build the infrastructure, and define what 'ready for production' means across verticals and use cases. You will design and implement evaluation systems that help our customers understand model performance across their specific use cases, build robust evaluation infrastructure, and work closely with both research and customer-facing teams.

Research builds evals for frontier capabilities but customers don't care about MMLU scores. We need in Applied AI evals and frameworks for customer reality domain-specific, risk-aware, production-grade. The kind that tell you whether your medical summarization model will hallucinate drug interactions, or whether your legal assistant will invent case citations.

This role sits at the intersection of research, engineering, and solutions, you will play a critical cross role in measuring, understanding, and improving the capabilities of our models for our enterprise customers.

Responsibilities

• Design and implement comprehensive evaluation frameworks to measure LLM capabilities across diverse customer use cases, including text generation, reasoning, code, and domain-specific applications

• Build scalable evaluation infrastructure and pipelines that enable rapid, reproducible assessment of model performance

• Develop novel evaluation methodologies to assess emerging capabilities or verticalized use cases (cybersecurity, finance, healthcare, etc.) and enable the Solutions (Deployment Strategist and Applied AI) on these topics

• Create custom evaluation suites tailored to enterprise customers' specific needs, working closely with them to understand their requirements and success criteria

• Collaborate with research teams to translate evaluation insights into model improvements and training decisions

• Partner with product teams to continuously improve our evaluation tooling based on customer feedback

How We Work in Applied AI

• We care about people and outputs

• What matters is what you ship, not the time you spend on it

• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to

• The best idea wins, whether it comes from a principal engineer or someone in their first week

• Always ask why. The best solutions come from deep understanding, not from copying what worked before

• We say what we mean. Feedback is direct, timely, and given because we care

• No politics. Low ego, high standards

• We embrace an unstructured environment and find joy in it

About You

• You are fluent in English

• 3+ years of experience in ML evaluation, benchmarking for LLM or agentic systems

• You have proven experience in AI or machine learning product implementation with APIs, back-end

• You have deep understanding of concepts and algorithms underlying machine learning and LLMs

• You have strong technical coding skills in Python

• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Ideally You Have:

• Contributions to open-source evaluation frameworks (e.g., LM Eval Harness, OpenAI Evals) or published research on LLM evaluation

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager

• Experience with ML frameworks (PyTorch, HuggingFace Transformers)

Benefits

• PTO: The CDI contract will be a 'Forfait 218 jours', corresponding to 25 days of holidays and on average 8 to 10 days of RTT days, and complete autonomy on working hours

• Health: Full health insurance coverage for you and your family

• Transportation: We offer a €600 annual mobility allowance. This package covers 50% of your public transportation costs and includes the Sustainable Mobility Allowance (FMD), encouraging eco-friendly travel options such as cycling or carpooling

• Food: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company

• Sport: Gymlib - sponsorship by Mistral of a significant part of the monthly fee (depending on the program you chose)

• Parental policy: 4 additional weeks for parents on top of what is offered by the French state

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

As we grow Mistral's business in North America, we’re looking for a Digital Native Account Executive based in the Bay Area who will help to further accelerate revenue growth with start-ups, scale-ups, and Mid Market accounts across North America. You will manage the entire sales process, from pipeline generation, through closing deals, and expanding customers.

Responsibilities

New Accounts Acquisition:

• Effectively and consistently build pipeline to achieve goals using multi-channel and tactics based on account plans

• Identify, qualify and disqualify sales opportunities

• Develop and execute strategic sales plans to convert opportunities into long term customers

Account Expansion:

• Work closely with the Solutions and Applied AI Engineering teams to ensure customer success criteria are met, and to identify up-sell and cross-sell opportunities

• Develop and execute on a strategic vision for account expansion, based on a deep understanding of the customer’s strategy and desired business outcomes

Complex Solution Defining and Positioning:

• Demonstrate a deep understanding of the technical intricacies of Mistral’s solutions and effectively articulate its value proposition to prospects and customers

• Work closely with the Solutions, Applied AI, and Product teams to address customer requirements and questions throughout the sales process, deployment, and post-deployment phases

• Establish technical credibility with customers in order to make informed recommendations in line with customers’ desired positive business outcomes

Executive Engagement & Alignment:

• Cultivate and maintain strong relationships with C-level executives, and other key decision makers within prospect and customer accounts

• Prepares clear, concise, persuasive customer communications, demonstrating effective writing and presentation skills, and earning customer trust as an AI advisor

• Helps align all stakeholder interests in a deal to create a win/win balance that demonstrates mutual benefit, increases the probability of commitment and drives deals to close

Who you are

• 5+ years of experience in B2B sales, ideally involving a highly complex, technical solution

• Significant work experience within the B2B tech ecosystem, ideally with a focus on AI or related data/infrastructure fields (e.g. deep-tech, AI application layer, cloud provider)

• Successful track record working in an early stage (Series A-C) startup or scale up organization.

• Excellent negotiation, communication, and interpersonal skills.

• Bachelor's degree in Business, Marketing, Information Technology, or a related field.

• Excellent negotiation, communication, and interpersonal skills.

• Strong understanding of the technology or software industry with a focus on data and AI

• Ability to travel as needed to meet with customers and prospects and attend industry events.

• Strong analytical skills, with the ability to monitor and analyze business performance and take action

• High integrity, low ego, great teammate

What we offer

• Competitive salary and equity

• Healthcare: Medical/Dental/Vision covered for you and your family

• 401K: 6% matching

• PTO: 18 days

• Transportation: Reimburse office parking charges, or $120/month for public transport

• Sport: $120/month reimbursement for gym membership

• Meal stipend: $400 monthly allowance for meals

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

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This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Responsibilities

• Backend Engineering - Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

Requirements

• 5+ years of professional backend engineering experience building and operating production systems.
• Fluent in English , professional fluency required for daily work with global teams in written and spoken contexts.
• Fluent in Spanish or Portuguese , required for collaboration with LATAM teammates, customers, and operational partners.
• Strong proficiency in at least one backend language: Go, Python, or Node.js/TypeScript.
• Experience designing and building RESTful APIs, microservices, and event-driven backend systems.
• Solid understanding of relational databases (PostgreSQL preferred): schema design, query optimization, and data modeling.
• Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Demonstrated ability to integrate third-party APIs reliably in production , including error handling, retry logic, and observability.
• Experience working on globally distributed teams across time zones and regions.
• Comfortable using AI tools as part of everyday engineering work , integrating LLM API outputs into backend services and using AI coding assistants fluently.

Preferred Qualifications

• Experience in fintech, financial services, payments, or a regulated industry , familiarity with ledger systems, payment rails, or financial compliance (KYC/AML, PCI-DSS) is a strong plus.
• Prior experience at a startup or high-growth scale-up, comfortable building in ambiguity without heavy process support.
• Experience with multi-currency systems or cross-border payment processing.
• Familiarity with message queue systems (Kafka, RabbitMQ) and event-driven architecture.
• Global work experience , prior roles at companies operating across multiple countries and regulatory environments.
• Fluency in both Spanish and Portuguese.

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LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Build human-in-the-loop review workflows for AI decisions that require oversight , particularly for high-value financial actions.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

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Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This team is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

As a Staff Backend Engineer, you will lead the architecture and technical direction of Cresta’s AI Agent integration platform. You will define how our AI Agents connect to, operate within, and scale across complex enterprise ecosystems.

Responsibilities:

• Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms
• Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation
• Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience
• Define integration strategies for voice, chat, messaging, routing, and agent desktop APIs across enterprise platforms
• Drive system design for high availability, low latency, and fault tolerance in real-time environments
• Set standards for observability, monitoring, incident response, and operational excellence
• Partner closely with ML engineers to operationalize AI Agent capabilities into production-grade systems
• Influence technical roadmap and prioritization in collaboration with engineering leadership
• Mentor senior engineers and raise the bar for backend engineering excellence across the organization
• Lead complex cross-team technical initiatives from design through production rollout

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field
• 8+ years of experience building scalable backend systems in production environments
• Demonstrated experience leading architecture for large-scale distributed systems
• Deep expertise in API design (REST, gRPC) and service-oriented architectures
• Strong understanding of real-time communication systems and low-latency system design
• Experience designing integrations with third-party enterprise platforms and APIs
• Proven track record of driving technical direction across teams
• Experience with containerized environments (Kubernetes, Docker)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Strong expertise in reliability engineering, observability, and enterprise-grade security
• Experience with CCaaS platforms, contact center systems, or real-time communications is highly valued
• Familiarity with AI Agents, LLM-based systems, or AI orchestration platforms is a strong plus

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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Embedded directly within Mistral's Security Engineering ecosystem, you will architect and enforce the security posture of our entire technical stack, from on-premise foundations to cloud-native deployments.

As a CyberSecurity Team Lead, you will oversee the identification, prioritization, and remediation of vulnerabilities across both On-Prem and Cloud infrastructures as well as internal applications.

You will select, deploy, and maintain the tools needed for visibility and protection, including CNAPP, CSPM, SAST/DAST, secret scanning, and SBOM/CVE tracking.

Integrate security controls and automated gates directly into CI/CD pipelines to catch vulnerabilities before deployment (Shift Left).

Partner with engineering teams to interpret findings and 'ease the fix,' providing patches, code snippets, or architectural advice to resolve issues quickly.

Define and maintain rigorous security guidelines and best practices for developers and system administrators.

Design and lead security awareness programs and technical training tailored for developers and admins to reduce human risk.

Track and define key security metrics (MTTR, coverage, vulnerability density) to visualize posture and progress to leadership.

Who you are

• 6+ years of experience in Information Security, with a specific focus on Application Security, Cloud Security, or DevSecOps.

• Strong scripting skills (Python, Go, or Bash) to automate security tasks and integrate tools.

• Deep understanding of CI/CD ecosystems and container orchestration (Kubernetes/Docker).

• Hands-on experience with modern security tooling (e.g., Wiz, Snyk, SonarQube, Prisma, or similar enterprise tools).

• Collaborative mindset: you view developers as partners, not adversaries, and focus on enabling them to code securely.

• Clear communication, autonomous, and capable of translating technical security risks into actionable engineering tasks.

It would be ideal if you also have:

• Industry certifications such as CISSP, CCSP, OSCP, or cloud-specific security certifications.

• Strong Infrastructure as Code (IaC) experience with Terraform or Ansible.

• Experience in offensive security (Penetration Testing) to better understand attacker mindsets.

• Prior experience securing large-scale AI or Machine Learning infrastructure.

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You will lead or contribute to proposals and engagements focused on IT and AI Operating Model strategy and design, including the definition of roles, decision rights, governance, service accountability, and performance metrics, with a strong focus on transitioning towards AI-enabled and agent-supported operating environments.

You will lead project teams to deliver current-state assessments, target operating model (TOM) design, and implementation of ITSM and SIAM governance, principles, and operating processes, ensuring effective integration into existing service delivery environments.

Key Responsibilities & Capabilities

• Provide expert advisory support to organisations seeking to optimise IT service delivery and digital operations
• Design and implement Target Operating Models (TOMs) aligned to AI, Cloud, Cyber and Service Management strategies
• Advise and guide the design and implementation of Service Integration & Management (SIAM) models in multi-vendor and delivery function environments
• Support organisations moving towards AI-enabled operations, ensuring AI governance aligns with enterprise-wide controls and risk frameworks
• Analyse current IT organisational design, operating models, and ITSM processes to identify improvement opportunities
• Develop practical, execution-ready transformation roadmaps
• Contribute to and lead the development of consulting offerings and thought leadership
• Govern and manage the execution of operating model and service management transformations
• Establish performance metrics and success measures to drive continuous improvement
• Work confidently across Agile, product-centric, and traditional SDLC delivery models
• Lead senior client conversations and articulate the value of IT and Digital Operations to the business
• Experience working with ITSM tools and platforms (e.g. ServiceNow) and advising on tool selection

Requirements

• Bachelor’s degree from an accredited university
• ITSM certification (e.g. ITIL) or equivalent practical experience
• 8 - 15+ years’ experience (grade dependent) in Operating Model Design, SIAM, ITSM Strategy, or CIO Advisory roles within leading consulting firms or large-scale enterprises
• Demonstrated experience designing and implementing Operating Models and/or Service Management frameworks
• Strong stakeholder management and executive-level communication skills
• Proven leadership experience managing high-performing, multidisciplinary teams

Benefits

Join our growing Digital Operations & Service Integration practice within Technology Transformation Consulting and help shape how organisations run technology in the age of AI.

Our team focuses on Operating Model Design (TOM), Service Integration & Management (SIAM), and AI-enabled IT Operations. We work with CIOs and senior technology leaders to redesign digital operating models, integrate complex multi-vendor ecosystems, and enable scalable AI, cloud, and cyber capabilities.

We operate at the intersection of strategy and execution - defining decision rights, governance structures, service accountability, and performance models that allow technology organisations to move from fragmented operations to resilient, AI-ready enterprises.

As part of this team, you will contribute to high-impact transformations across EMEA, including AI rollouts, cloud operating model redesign, M&A integration and service separation, and modern SIAM implementations. You will collaborate with multidisciplinary experts across consulting and technology to deliver pragmatic, measurable outcomes.

This is a team that values structured thinking, intellectual curiosity, and execution excellence. We offer the opportunity to shape market-leading offerings in one of the fastest-evolving areas of CIO advisory.

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The Data & Research Management group is responsible for delivering accurate, timely and complete data to enhance the value of Preqin's award-winning service. The trust in our underlying content enables our clients to make key investment decisions.

Besides simply collecting content, Data & Research Management collaborates extensively with internal and external stakeholders to improve our data offering leveraging technology and subject matter expertise. The team understands the end-to-end lifecycle of data and establishes business intelligence reports seeking operational excellence

Role Overview

The Director – Director, Private Markets Data Acquisition & Partnerships, EMEA role is an outstanding leadership opportunity based in our vibrant London office. This position is integral to Preqin, a part of BlackRock's data leadership team and is charged with steering the strategic direction of our data initiatives. By working closely with the Data, Product, and Technology teams, you will ensure our data exceeds client expectations in both scope and quality.

You will apply your market knowledge, relationship building skills, and data expertise to drive our private market data expansion initiatives in the EMEA region. This involves market exploration, collaboration, and innovative process execution. Your deep understanding of the private markets ecosystem and market trends will significantly contribute to our organisational strategy, ensuring the continued growth and improvement of Preqin, a part of BlackRock's data offerings.

Responsibilities

• Drive the strategic direction of Preqin, a part of BlackRock's data coverage, ensuring it is world-class and meets or exceeds client expectations.

• Act as a Subject Matter Expert (SME), working with internal collaborators to improve and develop current and future data offerings.

• Apply extensive network in the Private markets space to deepen relationships and inform our data expansion strategy.

• Lead a team of VPs and Senior Associates, operating in a player-coach capacity—setting strategy while remaining hands-on in executing initiatives to expand our private markets data coverage.

• Lead strategic data initiatives, including market mapping and white space analysis, to determine future coverage areas.

• Explore strategic data opportunities through partnerships and projects.

• Partner with Data Management and Data Platform teams to lead data sourcing, acquisition, extraction, and ingestion strategies.

• Assist external collaborators with dataset expertise and domain knowledge, including troubleshooting and representing our data to customers.

• Provide mentorship and training to internal data collection teams to improve the value and impact of data.

• Act as a brand ambassador, upholding and promoting Preqin, a part of BlackRock’s values and policies.

Key Requirements

• Minimum of 10 years of relevant experience in data/financial data services/alternative assets.

• Proven ability to acquire domain knowledge relevant to data and financial markets.

• Strong understanding of data lifecycle management from acquisition to publishing.

• Demonstrated success in performance management and building high-performing teams.

• Extensive people and project management experience, including remote team management.

• Hands-on, motivational, and entrepreneurial leader with professional competence.

• Strategic thinker capable of developing and improving data offerings.

• Experience in introducing change management through technology and processes.

• Strong time management and prioritisation skills.

• Excellent communication skills and experience working with senior executives.

• Bachelor’s Degree or equivalent experience required.

• Proficiency in business intelligence systems such as Power BI or Metabase.

Desired Experience

• Experience leading high-performing teams.

• Prior experience in the alternative assets industry or financial services data management.

• Skills in organisational design and central initiatives with senior management.

• Experience working with engineering teams to improve workflows.

• Experience working across cultures and locations

• Change management experience supporting global transitions.

• Project Management Certification or technical knowledge (SQL/Python) is a plus.

• Familiarity with workflow tools such as Alteryx, Salesforce, Outreach, Jira, Office 365.

Our benefits

To help you stay energised, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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We are looking for a Backend AI Engineer to join our team and help build and scale backend systems that power AI Agents for the gaming industry, handling millions of customer support tickets at scale.

In this role, you will work on high-throughput backend services, AI-powered workflows, and retrieval-based systems that support large-scale customer support automation. You will collaborate closely with AI Engineers, ML Engineers, and Product teams to design, build, deploy, and operate reliable backend systems that integrate AI components such as RAG pipelines and AI Agent orchestration.

This is an excellent opportunity to work on production-grade AI systems operating at massive scale, where performance, reliability, and observability are critical.

What You’ll Do:

• Design, develop, and maintain scalable backend services and APIs using Python and frameworks like FastAPI.
• Build and integrate backend workflows supporting AI Agents and customer support automation use cases.
• Develop secure and performant REST APIs for internal and external consumers.
• Integrate AI components such as RAG pipelines, embedding services, and inference APIs into backend systems.
• Work with databases including MongoDB, YugabyteDB, and PostgreSQL to support high-scale, low-latency workloads.
• Containerize applications using Docker and deploy/manage services on Kubernetes (K8s).
• Deploy and operate services on AWS and GCP cloud platforms.
• Implement and maintain CI/CD pipelines, and actively participate in CM/CR release processes.
• Use observability tools such as Grafana, Elasticsearch, and Kibana to monitor system health, debug issues, and improve reliability.
• Write clean, testable, and maintainable code; participate in code reviews and design discussions.
• Troubleshoot and resolve production issues related to scalability, performance, and reliability.

Requirements

• 3–5 years of experience in backend software development.
• Strong hands-on experience with Python and backend frameworks, especially FastAPI.
• Experience building backend APIs and workflow integrations.
• Solid understanding of databases such as MongoDB, PostgreSQL, and YugabyteDB.
• Hands-on experience with Docker and working knowledge of Kubernetes.
• Familiarity with AWS and GCP cloud services.
• Good understanding of CI/CD concepts, build pipelines, and CM/CR release processes.
• Working knowledge of observability and logging systems like Grafana, Elasticsearch, and Kibana.
• Basic to intermediate understanding of AI systems, especially Retrieval-Augmented Generation (RAG).
• Strong problem-solving skills and ability to work effectively in a collaborative team environment.

Good to Have / Plus Skills

• Experience with Jenkins for CI/CD automation.
• Familiarity with MCP concepts and AI orchestration frameworks.
• Hands-on exposure to AI/LLM-based systems, embeddings, or vector search.
• Experience or familiarity with Clojure.
• Knowledge of the Gaming industry or Customer Support domain.
• Experience working in high-scale, high-traffic production systems.

Bonus Points

• Experience building or operating AI Agents in production environments.
• Exposure to distributed systems, event-driven architectures, or message queues.
• Interest in AI reliability, evaluation, and system observability at scale.

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

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

About the Role

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

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

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

Responsibilities:

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

You may be a good fit if you:

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

Strong candidates may have:

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

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

The annual compensation range for this role is listed below.

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

Annual Salary:

$405,000 - $485,000USD

Logistics

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

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

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

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

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

How we're different

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

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

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

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You will:

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

Required skills and experience:

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

Bonus Qualifications:

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

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

Full-Time Employee Benefits Include:

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

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San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $266K – $445K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI’s Hardware team designs the custom silicon that powers the world’s most advanced AI systems. From system-level architecture to custom circuit implementations, we partner closely with model and infrastructure teams to deliver performance, power, and efficiency breakthroughs across all layers of the stack.

About the Role

We are seeking a highly skilled Silicon Implementation Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next-generation AI accelerators.

You’ll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon’s performance and cost efficiency, as well as the team’s execution velocity and quality.

In this role, you will:

• Develop, build and own tools, flows and methodologies for physical implementation
• Own physical implementation of floorplan blocks from floorplanning to final signoff
• Collaborate with RTL designers to drive optimal block implementation solutions
• Analyze and optimize design for timing, power, and area trade-offs, working in collaboration with EDA vendors and ASIC partners

Qualifications:

• BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology development
• Demonstrated success in taping out complex silicon designs
• Hands-on experience with block physical implementation and PPA convergence
• Strong coding experience with python, bazel, TCL
• Strong experience building physical design tools, flows and methodologies
• Strong understanding of microarchitecture, RTL design, physical design, circuit design, physical verification and timing closure.
• Deep familiarity with industry-standard tools and flows for physical synthesis, PNR, LEC and power estimation

Bonus:

• Experience with AI or HPC-focused chips
• Experience with optimizing PPA for high performance compute cores
• Hands-on experience with top-level design methodologies

About OpenAI

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

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Full Time

Frankfurt, Germany

Experienced Professional

January 15, 2025

Based in Alzenau near Frankfurt in Germany, Hyundai Motorsport GmbH is responsible for Hyundai’s global motorsport activities and primarily for its World Rally Championship program. We are currently seeking for a Senior Powertrain Support Engineer who will be responsible for overseeing and monitoring powertrain activities during in-car tests and events.

Main tasks

• Show responsibility for the powertrain management system strategies and calibration preparation prior to events and tests
• Responsibility of the powertrain specific test plan preparation and achievement during tests
• Monitor engine and gearbox data during tests and events (fire ups, roll-outs, tests,...)
• Responsible of powertrain reporting after tests and events, including testing results, calibration, problems
• Liaise with the rest of the event team, including engineers and drivers for all that is powertrain related
• Responsible of powertrain activities, engine mechanics job during events
• Be a source of proposals for technical problems solving and performance improvements within the Powertrain group
• Support dyno calibration activities when needed

Qualifications

• M.Sc. or MEng with a technical engineering background in engine
• Previous experience in the motorsport environment (WRC, Endurance, GT, F1,...)
• A good understanding of internal combustion race engine fundamentals
• Experience of engine calibration
• Fluent English is compulsory
• Excellent communication skills
• Knowledge of Engine Management Systems and data analysis (Marelli or equivalent)
• Flexible approach to working hours and tasks is essential
• Show you can be part of a team and create a motivating environment
• Self-motivation and an ability to manage & deliver tasks to meet established commitments

Our Offer

• Secure and long-term employment relationship
• Market and performance-related remuneration
• Training and career development
• Working in an international and dynamic environment
• 30 days vacation per calendar year
• Free parking
• Attractive benefits
• Car leasing options

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Full Time

Frankfurt, Germany

Experienced Professional

January 25, 2023

Based in Alzenau, near Frankfurt in Germany, Hyundai Motorsport GmbH is responsible for Hyundai’s global motorsport activities and primarily for its World Rally Championship program. We are currently looking for a Control & Simulation Engineer to join in our team.

Main tasks

• Assist in control software/physical model development and validation for a race car.
• Development and maintenance of HIL test system - Software & Calibration.
• Automation of test cases on the HIL system.
• Assist in HIL application and testing of control software and hardware.
• Participate in specifying test cases based on requirements, system behaviour models and robustness analysis.
• Developing innovative solutions in the field of model-based development for a hybrid/alternate propulsion powertrain.
• Version management and documentation of the results and models.

Qualifications

• Min. Master's degree or equivalent in Electrical/Electronic/Mechanical Engineering.
• At least 3 years of previous experience in Functional- / Physical model- development, SIL/MIL/HIL testing and application.
• Good understanding of a car and powertrain (ICE and hybrid) control.
• Strong knowledge on model based controls with Matlab/Simulink, Engine Management Systems and data analysis (Marelli or equivalent).
• Good understanding of debugging C codes.
• HIL Automatic testing with SimulinkRT (or similar)
• Experience from motorsport is considered as an advantage.
• Excellent communication skills, fluent English is compulsory, German speaking is a plus.
• Flexible approach to working hours and tasks is essential.
• Motivation and ability to manage and deliver tasks to meet established commitments.
• Show you can be part of a team and create a motivating environment.

Our offer

• Secure and long-term employment relationship.
• Market and performance-related remuneration.
• Training and career development.
• Working in an international and dynamic environment.
• 30 day vacation per calendar year.
• Free parking.
• Attractive benefits.
• Car leasing options.

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