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airfield safety officer 9213 a00024

Wayve

<div><div><h2 class="jobSectionHeader">About us
</h2>Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
 
 
In our fast-paced environment big problems ignite us&mdash;we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
</div>Site Reliability Engineer - Vehicle Software
<h1 class="jobSectionHeader">
The role</h1>

As a Site Reliability Engineer at Wayve, you will work across the full reliability stack for our vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations teams detect, triage, and resolve issues faster. You will work closely with software engineers, field engineers, and operations, debugging real systems, improving real processes, and having direct impact on how our vehicles perform in production.

Wayve is scaling its autonomous vehicle programs with partners, and you will help shape the SRE approach for vehicle-centric systems as that happens. This is not a role where reliability sits on top of the real work, it is central to it.
<h1 class="jobSectionHeader">
Key responsibilities</h1>
<ul><li>Build and improve tooling, automation, observability, and incident-management processes for vehicle software reliability.</li>
<li>Work closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance.</li>
<li>Own hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data.</li>
<li>Develop reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster.</li>
<li>Support vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programs.</li>
</ul><h1 class="jobSectionHeader">About you</h1>
<h2 class="jobSectionHeader">Essential skills</h2>
<ul><li>You will write production-quality code every day in Python, C++, or Rust. This is a software engineering role as much as a reliability role, and coding is central to the work.</li>
<li>Comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments.</li>
<li>Experience with CI/CD, containerization, networking, distributed systems, databases, and observability and incident-management tooling, including DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.</li>
<li>Experience diagnosing complex production or operational systems, not just escalating, but seeing problems through to resolution.</li>
<li>The communication skills to work effectively across engineering, operations, and field teams, and the judgment to know when to bring others in.</li>
<li>Based in Sunnyvale and able to be onsite at least three days a week to work alongside the field teams you will support.</li>
</ul><h2 class="jobSectionHeader">Desirable skills</h2>
<ul><li>Experience with autonomous vehicles, robotics, embedded systems, or safety-critical environments. We know this is rare, and it is not a barrier to applying.</li>
<li>Experience with large-scale telemetry or high-volume data pipelines.</li>
<li>Familiarity with vehicle-centric or on-device software systems.</li></ul> 
<h1 class="jobSectionHeader">
</h1>This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.<div>
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. 
 
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.</div></div>

Site Reliability Engineer, Vehicle Software

Webcor

<div>The Director of AI Strategy &amp; Enablement leads the development and execution of the company's enterprise AI strategy, governance framework, and adoption initiatives. Serving as a bridge between business and technology, this role ensures AI investments are aligned with organizational goals, governed appropriately, and deliver measurable business outcomes. The Director is responsible for establishing AI policies and standards, guiding responsible AI practices, identifying and prioritizing business use cases, driving enterprise adoption, and overseeing the realization of value from AI-enabled solutions across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
AI Strategy &amp; Roadmap<ul><li>
Develops and maintains the enterprise AI strategy aligned with business objectives and corporate priorities.</li><li>
Establishes a multi-year AI roadmap that identifies opportunities to improve operational efficiency, project delivery, workforce productivity, safety, and business performance.</li><li>
Partners with executive leadership to prioritize AI investments and initiatives based on strategic value and risk.</li><li>
Monitors emerging AI technologies, trends, and regulations and assess their applicability to the business.</li></ul>
AI Governance &amp; Responsible AI<ul><li>
Develops and maintains AI governance policies, standards, and operating procedures.</li><li>
Establishes processes for evaluating, approving, monitoring, and managing AI solutions and use cases.</li><li>
Leads the AI Governance Council and facilitates cross-functional decision-making.</li><li>
Ensures AI initiatives align with legal, compliance, privacy, cybersecurity, and data governance requirements.</li><li>
Develops frameworks for responsible AI, including transparency, accountability, human oversight, bias mitigation, and risk management.</li></ul>
Data Governance Alignment<ul><li>
Partners with data owners and data stewards to improve data quality, ownership, accessibility, and reliability.</li><li>
Ensures AI initiatives are supported by trusted and governed enterprise data.</li><li>
Aligns AI governance practices with enterprise data governance standards.</li></ul>
Enterprise AI Adoption &amp; Enablement<ul><li>
Leads enterprise-wide AI adoption initiatives to increase employee productivity and business value realization.</li></ul><ul><li>
Develops adoption strategies for tools such as Microsoft Copilot and other approved AI platforms.</li><li>
Identifies barriers to adoption and implement change management strategies to address them.</li><li>
Partners with business leaders to identify, prioritize, and advance AI use cases.</li><li>
Establishes metrics to measure AI adoption, engagement, and business outcomes.</li></ul>
AI Use Case Portfolio Management<ul><li>
Maintains a prioritized pipeline of AI opportunities.</li><li>
Evaluates business cases and expected value.</li><li>
Coordinates project delivery across business units.</li></ul>
AI Literacy &amp; Workforce Development<ul><li>
Develops and executes AI education and awareness programs for employees at all levels.</li><li>
Creates role-based AI learning paths for executives, managers, and individual contributors.</li><li>
Fosters a culture of responsible experimentation and innovation.</li><li>
Establishes an AI Champions network to promote adoption and knowledge sharing across departments.</li></ul>
Executive Communication
<ul><li>Advises executive leadership on emerging AI trends, risks, and opportunities.</li><li>
Develops executive briefings and board-level updates.</li><li>
Leads AI strategy workshops and planning sessions.</li></ul>
TECHNICAL SKILLS AND KNOWLEDGE REQUIRED<ul><li>
Strong understanding of Generative AI, Large Language Models (LLMs), and modern AI capabilities and limitations.</li><li>
Familiarity with prompt engineering concepts and best practices.</li><li>
Advanced knowledge of construction operations, including scheduling, estimating, project management and safety workflows and protocols.</li><li>
Basic knowledge of construction data schemas and common industry platforms such as Autodesk Construction Cloud, Revit, CMiC, Box, Oracle P6 and Workday is preferred.</li><li>
Strong project management and organizational skills with the ability to manage multiple initiatives simultaneously.</li><li>
Working knowledge of business intelligence and analytics platforms.</li><li>
Working knowledge of change management and the ability to explain complex technical concepts to non-technical field staff.</li></ul>
REQUIRED EDUCATION AND WORK EXPERIENCE<ul><li>
Bachelor&rsquo;s degree in Construction Management, Civil Engineering, Mechanical Engineering, Architecture, or equivalent experience.</li><li>
5+ years of experience managing complex projects in the AEC (Architecture, Engineering, Construction) industry, including three years as a Project Engineer or equivalent.</li><li>
Minimum of three years of experience supporting digital transformation, VDC, or the deployment of technology initiatives in the field.</li><li>
Experience on sustainable and/or design-build projects is preferred.</li><li>
AI related certifications (Microsoft AI-900, Google, AI Essentials, etc) a plus.</li></ul>
BEHAVIORAL COMPETENCIES REQUIRED<ul><li>
Strategic level communication and facilitation skills, including presenting to executive and field audiences, effectively conveying the business value of AI tools.</li><li>
Demonstrates the capacity to articulate thoughts clearly and concisely, specifically when translating complex technical jargon for field audiences.</li><li>
Demonstrated ability to drive adoption in resistant or change-averse environments.</li><li>
Demonstrates an advanced level of customer focus and a remarkable ability to collaborate with diverse stakeholders from trade to Executive Leadership.</li><li>
Strategic level decision quality and use of sound judgement when handling sensitive project data.</li></ul>
PHYSICAL REQUIREMENTS
Performance of the required duties will require physical ability to sit for long periods of time at a desk, generally up to 7 hours per day and regularly working on-site at the construction work site. Repetitive motion using hands with constant keyboarding and physical use of vision to read computer monitors including close vision for coding and data analysis. Regularly required to use hands to operate standard office equipment (personal computer, photocopy machine, etc.). Occasionally required to stoop, kneel, and lift up to 15 pounds. The noise level in the office work environment is usually moderate to loud. The employee regularly works at the construction work site to validate technology implementation, deliver on-site training and demonstrations where the employee will be required to climb permanent and temporary stairs and is exposed to moving mechanical parts and outside weather conditions. The noise on the construction work site is usually moderate to very loud.
This is a general statement of required major duties and responsibilities performed on a regular and continuous basis. It does not exclude other duties as assigned. Webcor is AN EQUAL OPPORTUNITY EMPLOYER. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Range of base pay is $193,000-$220,000. Actual pay is based on individual skill level and experience.
Webcor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Webcor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>

Director of AI Strategy & Enablement

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;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.</div><div><h2 class="jobSectionHeader">
About the role</h2>

We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<h3 class="jobSectionHeader">Revenue Platform Architecture &amp; Development</h3>
<ul>
<li>Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries
</li>
<li>Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations
</li>
<li>Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models
</li>
</ul><h3 class="jobSectionHeader">Data Engineering &amp; Pipeline Orchestration</h3>
<ul>
<li>Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams
</li>
<li>Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements
</li>
</ul><h3 class="jobSectionHeader">Systems Integration &amp; Technical Leadership</h3>
<ul>
<li>Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth
</li>
<li>Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort
</li>
<li>Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes
</li>
</ul><h3 class="jobSectionHeader">Innovation &amp; Continuous Improvement</h3>
<ul>
<li>Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics
</li>
<li>Evaluate and implement emerging technologies to modernize integration architecture
</li>
<li>Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards
</li>
<li>Mentor team members on technical best practices, code reviews, and documentation standards
</li>
</ul><h2 class="jobSectionHeader">Minimum qualifications</h2>
<ul>
<li>Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)
</li>
<li>Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)
</li>
<li>Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development
</li>
<li>Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions
</li>
<li>Track record of leading technical workstreams during ERP transformations or major system migrations
</li>
<li>Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions
</li>
<li>Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards
</li>
<li>Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing
</li>
<li>Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability
</li>
<li>Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams
</li>
</ul><h2 class="jobSectionHeader">Preferred qualifications</h2>
<ul><li>Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations</li>
</ul>
<ul><li>Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes
</li>
<li>Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios
</li>
<li>Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems
</li>
<li>Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials
</li>
<li>Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data
</li>
<li>Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures)
</li>
<li>Experience leveraging agentic development workflows
</li>
<li>Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation
</li>
<li>Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams
</li>
<li>Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems
</li>
<li>Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field
</li>
<li>Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks
</li>
</ul><ul><li>Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation
</li>
<li>Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div>
Annual Salary:
$270,000 - $315,000 USD</div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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

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

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
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&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

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

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Director, Finance Systems - Revenue Systems Engineering

Explore 3+ Airfield safety officer 9213 a00024 in San Francisco this September. Find roles across top companies and apply now to boost your career.

3 airfield safety officer 9213 a00024 jobs In San Francisco

Site Reliability Engineer, Vehicle Software

Director of AI Strategy & Enablement

Director, Finance Systems - Revenue Systems Engineering