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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

On average, our team leads are responsible for teams of about five people, owning both execution and delivery while remaining hands-on. You will split your time dynamically between individual contribution and leadership, with the balance shifting as your team grows. You will collaborate closely with engineering teams to ship improvements that directly accelerate development velocity, enhance code quality, and streamline workflows across our AI platform and products: AI Studio, Le Chat, and Mistral Vibe. You will be responsible for creating a strong team culture, setting clear processes, raising the developer experience bar, and ensuring consistent high-quality delivery of developer tooling and infrastructure. This is a highly critical role at the intersection of developer productivity, infrastructure, and people. You will help shape how our engineering organization builds at scale. If you enjoy building developer platforms, leading ambitious engineers, and shipping tooling that supercharges productivity, this role is for you.

Responsibilities

• Empower Your Team: Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution, and create an environment where engineers can focus on building impactful developer tools and platforms.

• Lead Delivery and Accountability: Own the delivery of your team’s roadmap for developer experience improvements, including projects like enhancing CI/CD and build systems, optimizing cloud registries (Docker, Azure, GCP), implementing static and dynamic code analysis tools, and automated vulnerability analysis. Ensure projects are shipped with the right level of quality, reliability, and performance.

• Bridge Engineering and Productivity: Partner closely with engineering teams to define the roadmap and priorities for developer experience. Scope initiatives, estimate engineering effort, and drive prioritization decisions based on developer productivity impact and technical necessity. Keep the whole team involved and engaged in the product direction.

• Hands-on Technical Leadership: Stay deeply involved in architecture design, system design, coding, peer reviews, and technical decision-making for developer tooling. Lead by example and remain connected to the day-to-day challenges of the team.

• Process and Clarity: Define and evolve team processes, best practices, and execution rituals for developer workflows. Ensure they remain relevant as the team and product scale.

• Raise the bar: Challenge engineers to step up, take ownership, and grow beyond their comfort zone. Increase the team’s bus factor through knowledge sharing, documentation, and rotation of responsibilities. Champion a culture of continuous improvement in developer productivity.

About You

• 5+ years of relevant professional work experience in Developer Experience (DevEx), DevOps, or related fields.

• Master’s degree in Computer Science, Information Technology, or a related field.

• Proficiency in scripting and programming languages (Python, JavaScript/TypeScript, Go) and experience with infrastructure as code tools.

• Experience with building and leading high-performing teams in developer tooling or infrastructure.

• Experience working with cross-functional teams including product, design, and business.

• Experience with project management and planning for infrastructure and tooling initiatives.

• Ownership and capacity to ship developer tooling and platforms end-to-end.

• Strong experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), cloud infrastructure (AWS, GCP, Azure), build systems, container registries, and developer tooling.

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor

• Are you audacious enough?

• Make our customers succeed

• Ship early and accelerate

• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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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. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

On average, our team leads are responsible for teams of about five people, owning both execution and delivery while remaining hands-on. You will split your time dynamically between individual contribution and leadership, with the balance shifting as your team grows. You will collaborate closely with engineering teams to ship improvements that directly accelerate development velocity, enhance code quality, and streamline workflows across our AI platform and products: AI Studio, Le Chat, and Mistral Vibe. You will be responsible for creating a strong team culture, setting clear processes, raising the developer experience bar, and ensuring consistent high-quality delivery of developer tooling and infrastructure. This is a highly critical role at the intersection of developer productivity, infrastructure, and people. You will help shape how our engineering organization builds at scale. If you enjoy building developer platforms, leading ambitious engineers, and shipping tooling that supercharges productivity, this role is for you.

Responsibilities

• Empower Your Team: Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution, and create an environment where engineers can focus on building impactful developer tools and platforms.

• Lead Delivery and Accountability: Own the delivery of your team’s roadmap for developer experience improvements, including projects like enhancing CI/CD and build systems, optimizing cloud registries (Docker, Azure, GCP), implementing static and dynamic code analysis tools, and automated vulnerability analysis. Ensure projects are shipped with the right level of quality, reliability, and performance.

• Bridge Engineering and Productivity: Partner closely with engineering teams to define the roadmap and priorities for developer experience. Scope initiatives, estimate engineering effort, and drive prioritization decisions based on developer productivity impact and technical necessity. Keep the whole team involved and engaged in the product direction.

• Hands-on Technical Leadership: Stay deeply involved in architecture design, system design, coding, peer reviews, and technical decision-making for developer tooling. Lead by example and remain connected to the day-to-day challenges of the team.

• Process and Clarity: Define and evolve team processes, best practices, and execution rituals for developer workflows. Ensure they remain relevant as the team and product scale.

• Raise the bar: Challenge engineers to step up, take ownership, and grow beyond their comfort zone. Increase the team’s bus factor through knowledge sharing, documentation, and rotation of responsibilities. Champion a culture of continuous improvement in developer productivity.

About You

• 5+ years of relevant professional work experience in Developer Experience (DevEx), DevOps, or related fields.

• Master’s degree in Computer Science, Information Technology, or a related field.

• Proficiency in scripting and programming languages (Python, JavaScript/TypeScript, Go) and experience with infrastructure as code tools.

• Experience with building and leading high-performing teams in developer tooling or infrastructure.

• Experience working with cross-functional teams including product, design, and business.

• Experience with project management and planning for infrastructure and tooling initiatives.

• Ownership and capacity to ship developer tooling and platforms end-to-end.

• Strong experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), cloud infrastructure (AWS, GCP, Azure), build systems, container registries, and developer tooling.

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor

• Are you audacious enough?

• Make our customers succeed

• Ship early and accelerate

• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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We are seeking a highly skilled and experienced Staff Software Engineer to join our Communication Products team. As a Staff Engineer, you will be responsible for leading the technical vision for ML-powered messaging features, architecting and delivering intelligent capabilities end-to-end, and partnering deeply with ML and product teams.

The Difference You Will Make:

As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration.

A Typical Day:

• Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability
• Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions
• Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact
• Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions
• Mentor, guide, advocate, and support the career growth of individual contributors
• Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation

Your Expertise:

• 9+ years of relevant engineering hands-on work experience
• Bachelors, Masters, or PhD in CS or related field
• Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring
• Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications
• Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding
• Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering
• Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution
• Experience operating distributed, real-time systems at scale with high reliability requirements
• Experience with real-time messaging systems or event-driven architectures
• Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms)
• Prior work on trust & safety, content moderation, or internationalization in a messaging context
• Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $204,000-$255,000 USD

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This is a founding management role where you'll help shape how the team works, partner closely with the Staff Backend Engineer, Product Manager, and SSCS stage management, and turn a defined roadmap into steady, high-quality delivery for enterprise customers with strict security and compliance needs.

You'll focus on developing the team, creating a healthy operating rhythm, and establishing predictable execution for the SSCS SKU.

You'll join a product area where customers in regulated industries are already validating the need, and your work will help GitLab deliver software supply chain security features that customers can rely on.

While technical credibility matters, your main focus will be growing a strong backend engineering team, enabling team members in their development, and creating the conditions for long-term delivery and quality.

Responsibilities:

• Guide a backend engineering team building the SSCS Add-On across dependency enforcement, build provenance, malicious package detection, and artifact signing.

• Be responsible for driving engineering delivery for general availability milestones by aligning sequencing, scope, and dependencies with the Staff Backend Engineer and Product Manager.

• Develop the team by partnering with Talent Acquisition on sourcing, interview design, candidate evaluation, and hiring decisions.

• Run regular 1:1s, performance reviews, and career development conversations that enable growth and clear expectations.

• Advance engineering quality by monitoring cycle time, defect rates, and test coverage, and by addressing risks early.

• Coordinate quarterly planning and roadmap tradeoff discussions with SSCS stage leadership and Product.

• Work with Finance and other partners on headcount pacing and team planning as the Add-On scales.

• Represent the SSCS Add-On team within stage leadership discussions and help ensure strong communication across functions.

Requirements:

• Over 3 years of experience guiding backend product engineering teams in security, DevOps, or platform engineering environments.

• Ability to hire and grow backend or security engineers in distributed team environments, with practical understanding of the talent landscape for these roles.

• Technical credibility to contribute to architecture discussions involving package registries, CI/CD pipeline security, and signing infrastructure.

• Experience managing predictable delivery across multi-quarter product roadmaps and managing cross-team dependencies.

• Comfort working in an asynchronous, documentation-driven organization with clear written communication.

• Familiarity with supply chain security, artifact management, or compliance-focused product areas, or transferable experience from related domains.

• Working knowledge of concepts related to frameworks and ecosystems such as SLSA and Sigstore.

• Ability to build credibility with engineers, product partners, and customer-facing stakeholders through clear judgment, coaching, and teamwork.

About the team: The SSCS Add-On team is a product engineering team within GitLab's Software Supply Chain Security stage. We work on key capabilities in the SSCS Add-On SKU and collaborate closely with product and engineering partners to deliver security features for customers operating in regulated environments.

You'll report to the SSCS Senior Engineering Manager and partner directly with the Staff Backend Engineer and Product Manager.

As a distributed team working asynchronously across regions, we are focused on strong delivery practices, team health, and scaling the product area with clarity and accountability.

For more on how related teams work, see Team Handbook Page.

How GitLab Supports Full-Time Employees:

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

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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On this team, you will build and operate the ML infrastructure and product services that enable trust and intelligence across Plaid's network. You'll own feature engineering, offline training and batch scoring, online feature serving, and real-time inference so model outputs directly power partner-facing fraud & trust products and bank intelligence features.

Responsibilities

• Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows).
• Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact).
• Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses.
• Build and operate offline training pipelines and production batch scoring for bank intelligence products.
• Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring.
• Implement model CI/CD, model/version registry, and safe rollout/rollback strategies.
• Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs.
• Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions.
• Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection).
• Ensure fairness, explainability and PII-aware handling for partner-facing ML features; maintain auditability for compliance.
• Partner with platform and cross-functional teams to scale the ML/data foundation (graph features, sequence embeddings, unified pipelines).
• Mentor engineers and document team standards for ML productization and operations.

Qualifications

• Must-haves:
• Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred).
• Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark.
• Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference.
• Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics.
• Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response.
• Nice to have:
• Experience in fraud, risk, or marketing intelligence domains.
• Experience with feature-store products (Tecton / Chronon / Feast / internal) and unified pipelines.
• Experience with graph frameworks, graph feature engineering, or sequence embeddings.
• Experience optimizing inference at scale (Triton/ONNX/quantization, batching, caching).

Additional Information

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

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The Inpatient Palliative Care team collaborates closely with hospital-based care providers to educate, guide, and offer resources to patients living with serious illness. Serving as a key link between patients, families, and available services, the team helps improve communication and symptom management, delivers emotional and spiritual support, and facilitates seamless transitions of care.

As the program continues to grow, the Inpatient Palliative Care team is seeking an experienced Registered Nurse (RN) to join the team as a Nursing Coordinator. In this role, the Coordinator will partner with inpatient units and hospital departments to build strong relationships, provide education on palliative care at both the unit and organizational level, and help coordinate programs and initiatives that enhance transitions of care

The ideal candidate will be a licensed Registered Nurse with at least five years of professional nursing experience. Success in this role requires confidence, strong emotional intelligence, excellent listening skills, and effective communication.

This position is based on-site at UNC Medical Center in Chapel Hill and works Monday–Friday, 9:00 AM to 5:00 PM, with no weekends, holidays, or on-call required.

Become part of an inclusive organization with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve.

Summary:

Provides clinical administrative nursing care coordination in support of a patient care area. Duties include one or more of the following care coordination, discharge planning, data analysis and performance metrics, and patient/staff education.

Responsibilities:

1. Assesses patient status of a specialized population. Rounds with an interdisciplinary health care team to determine patient care needs and coordinate ongoing acute care and long-term needs. Uses expertise and experience in specialty practice to facilitate patient care. Acts as a liaison between the patient, family and health care team to communicate patient care needs including coordination of patient/family care conferences.

2. Collaborates with health care team to provide information and resources to facilitate patient care. Provides inservices and formal presentations to nursing, medical and ancillary staff on topics related to the specialized patient population. Assist staff in the development of patient education materials for the patient population. Perform patient teaching related to specific topics and patient needs. Documents patient teaching in the medical record in the appropriate sections

3. Collects data related to specialized patient population and analyzes for trends. Enters data or coordinates its entry into databases and registries for benchmarking purposes. Participates in performance improvement activities to promote quality patient care. Analyzes data for trends and makes suggestions for revisions to patient care protocols for the patient population. Monitors outcomes of care for patient population and collaborates with the interdisciplinary health care team on evaluation of outcomes.

4. Coordinates patient care for post-hospitalization care and discharge planning. Makes referrals to other care providers during acute care episode and for post-discharge care. Communicates discharge needs to interdisciplinary health care team, patient and family. Coordinates appointments with clinics, outside referral sources, home care, durable medical equipment providers and other providers to ensure continuity of care for the patient. Attends care conferences and interdisciplinary care rounds. Documents care planning and communication with health care providers in the medical record.

5. Promotes own professional development through attending inservices and presentations. Keeps current in practice through conferences, reading current literature and research. Role models professional nursing practice to others through use of the nursing process and professional behaviors

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

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

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

The Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale.

About the Role

As a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready.

We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly.

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

In this role, you will:

• Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains.

• Define versioning and branching strategies; automate promotions, changelogs, and artifact retention.

• Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions.

• Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies.

• Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance.

• Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry.

You might thrive in this role if you:

• Have experience building and operating build and release systems for consumer devices, robotics, mobile, or embedded products.

• Are proficient in scripting and automation languages such as Python or Bash.

• Have strong Linux user-space fundamentals.

• Have experience with GitHub Actions or Buildkite, artifact registries, and reproducible toolchains.

• Have experience managing vendor BSPs and toolchains.

• Have delivered secure OTA or image updates with staged rollouts at scale.

• Are familiar with key management and supply-chain hardening.

• Have a track record of metrics-driven improvement and continuous optimization.

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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