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bartender

Crossroads Consulting Services LLC

<h3>About the role</h3>We are seeking an Accounting Specialist to manage accounts receivable (AR) and accounts payable (AP) processes within our dynamic team based in San Francisco. This full-time position requires a detail-oriented professional who is passionate about numbers and enjoys working in a fast-paced environment to ensure accurate financial transactions and reporting.<h3>Key responsibilities</h3><ul><li>Manage the full cycle of accounts receivable, including invoicing, collections, and reconciliation of customer accounts to ensure timely receipt of payments.</li><li>Handle the accounts payable process by verifying invoices, processing payments, and reconciling vendor statements to maintain accurate financial records.</li><li>Assist in month-end closing activities, providing support in preparing reports and financial statements to ensure compliance and accuracy in accounting practices.</li><li>Collaborate with other departments to resolve discrepancies and improve processes related to AR/AP functions, enhancing overall efficiency.</li><li>Maintain and update financial records in the accounting software, ensuring all transactions are accurately recorded and easily accessible for audits and analysis.</li></ul><h3>Requirements</h3><ul><li>Proficiency in accounting software and Microsoft Excel, demonstrating the ability to analyze data, create reports, and perform reconciliations effectively.</li><li>Solid understanding of basic accounting principles and practices, with a keen eye for detail to maintain accuracy in financial documentation.</li><li>Strong organizational skills, enabling effective management of multiple tasks and deadlines in a fast-paced environment.</li><li>Excellent communication skills, both written and verbal, to facilitate interactions with team members, vendors, and clients.</li><li>Ability to work independently as well as part of a team, demonstrating flexibility and adaptability to meet changing business needs.</li></ul><h3>Nice to have</h3><ul><li>Experience with ERP systems or advanced accounting software, which may enhance efficiency in managing accounting tasks.</li><li>Familiarity with regulatory requirements and compliance standards in financial accounting, providing insight into industry best practices.</li><li>Previous experience in a similar role, which could contribute valuable knowledge and skills to the position.</li><li>Certification in accounting or finance, such as CPA or similar credentials, which may complement your practical experience.</li><li>A proactive approach to problem-solving, showcasing an ability to identify areas for improvement and implement effective solutions.</li></ul><h3>Why join us</h3>Joining our team means becoming part of an innovative environment where your contributions will be valued and recognized. You will have the opportunity to develop your skills in accounting while working alongside a passionate group of professionals. Our company is committed to fostering professional growth, enabling you to expand your knowledge in finance, enhance your career, and make a meaningful impact on our financial operations.

Accounting Specialist (AR/AP)

Block

<div><div>Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn&rsquo;t work together. 
 
So we expanded into software and started building integrated, omnichannel solutions &ndash; to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we&rsquo;ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. 
 
Today, we are a partner to sellers of all sizes &ndash; large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We&rsquo;re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
<h4 class="jobSectionHeader">
The Role</h4>

The Go-to-Market Engineering team builds the systems, automations, and AI-powered experiences that help our sales teams spend less time on manual work and more time serving customers. As a Staff Software Engineer, you will be the technical owner of our go-to-market technology stack, setting its architecture and long-term direction while leading engineers through complex, high-impact sales problems. You will partner with Sales, Sales Strategy &amp; Operations, Product, Data, and Engineering leaders to deliver reliable, scalable solutions that improve sales productivity and business performance.
<h4 class="jobSectionHeader">
You Will</h4>
<ul><li>Own the technical strategy, architecture, and long-term evolution of our go-to-market technology stack.</li>
<li>Design, build, and operate production-grade AI agents and automated workflows that reduce manual sales work, improve decision-making, and give time back to sales teams.</li>
<li>Lead technical execution across initiatives of varying sizes by setting direction, breaking down complex problems, reviewing designs, and helping engineers deliver high-quality solutions.</li>
<li>Remain hands-on throughout the software lifecycle, from prototyping and architecture through implementation, testing, deployment, and production operations.</li>
<li>Partner with Sales and Sales Strategy &amp; Operations to understand workflows, identify high-value opportunities, and translate business problems into scalable technical solutions.</li>
<li>Establish the patterns, evaluation methods, and guardrails needed to build AI systems that are reliable, observable, secure, and safe to use with sensitive business data.</li>
<li>Define success measures and use data, evaluations, and user feedback to improve the accuracy, adoption, and business impact of new capabilities.</li>
<li>Make thoughtful build-versus-buy decisions and guide integrations across internal platforms, customer relationship management systems, data services, and third-party tools.</li>
<li>Build alignment with senior technical and business partners, communicate complex tradeoffs clearly, and raise engineering standards through mentorship and design reviews.</li>
</ul><h4 class="jobSectionHeader">You Have</h4>
<ul><li>A minimum of 12 years of related experience with a Bachelor&rsquo;s degree; or 8 years and a Master&rsquo;s degree; or a PhD with 5 years experience; or equivalent experience.</li>
<li>Experience setting technical direction and delivering complex, business-critical systems across multiple teams or functional areas.</li>
<li>Experience designing, building, and operating production software that uses large language models, AI agents, tool calling, retrieval, workflow orchestration, or related technologies.</li>
<li>A track record of moving AI capabilities from prototype to production, including evaluation, observability, security, reliability, and human oversight.</li>
<li>An AI-native approach to engineering, using AI tools throughout development while applying sound judgment about when to use models, deterministic software, or human review.</li>
<li>Strong software engineering and system-design skills, with the ability to work hands-on across application, service, integration, and data layers.</li>
<li>Experience leading technical execution through influence, mentorship, architecture, and direct contribution, without relying on formal reporting authority.</li>
<li>The judgment to navigate ambiguous problems, evaluate technical and business tradeoffs, and influence senior engineering and business partners.</li>
<li>Familiarity with sales processes or go-to-market systems&mdash;such as lead management, opportunity management, forecasting, account planning, or customer relationship management platforms&mdash;is helpful but not required.</li>
</ul>
We&rsquo;re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances. 
 
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.<div><div><div> 

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</div><div> 
Zone A:</div><div>
$263,600&mdash;$395,400 USD</div></div><div><div>
Zone B:
</div><div>$263,600&mdash;$395,400 USD</div></div><div><div>
Zone C:</div><div>
$263,600&mdash;$395,400 USD</div></div><div><div>
Zone D:</div><div>
$263,600&mdash;$395,400 USD</div></div></div><div>
Application Guidelines

Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.

Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us here with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</div></div></div>

Staff Software Engineer, Go-to-Market Systems & AI

Databricks

<div>CSQ327R216
As a Sr. Field Technical Program Manager (TPM) role in our Forward Deployed Engineering team, you will play a pivotal role in delivering complex technical projects that drive customer success and our business growth. Forward Deployed Engineering is part of the Field Engineering (FE) organization, the technical arm of Databricks&rsquo; customer-facing teams.
The TPM position understands our customers&rsquo; business goals and can steer technical projects from beginning to end with exceptional outcomes. You will start on projects after a statement of work is agreed (i.e. post-sales) and will leverage your technical expertise and project management skills to navigate customer challenges and deliver with excellence at every stage.This role serves as the essential link between the Field Engineering teams and internal groups, including Sales, Product, and Engineering.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction</li>
<li>Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results.</li>
<li>Project Execution &amp; Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.</li>
<li>Stakeholder Management: Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees.</li>
<li>Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams.</li>
<li>Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster.</li>
<li>Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team.</li>
</ul><h3 class="jobSectionHeader">Minimum Qualifications</h3>
<ul><li>Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company.</li>
<li>Technical Background: A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers.</li>
<li>Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies.</li>
<li>Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus.</li>
<li>Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning).</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Certifications: PMP, CSM, or related program management certification.</li>
<li>Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark&trade;.</li>
<li>Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP).</li>
<li>Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager).</li>
<li>GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.</li>
</ul><div><div><div>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. 
 
</div><div>Zone 1 Pay Range</div>
<div>$156,000&mdash;$214,500 USD
</div></div></div><div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide &mdash; including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 &mdash; rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Field Technical Program Manager, FDE - DNB

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
As a Lead/Principal Engineer in Quality &amp; Performance Excellence, you will operate at the intersection of quality architecture, intelligent test automation, performance engineering, and engineering excellence. You will drive AI-native engineering practices by establishing and scaling industry-leading approaches to quality, performance, reliability, and delivery across the organization.
You will enable engineering teams to deliver faster, safer, and more reliable customer outcomes through engineering standards, intelligent automation, quality governance, and continuous innovation.
In this role, you will work across engineering and product to shape how teams design, build, validate, and deliver software. You will leverage AI, intelligent automation, engineering rigor, and data-driven insights to accelerate delivery while continuously raising the bar for quality, reliability, scalability, and performance.
Key Responsibilities
<ul><li>Drive quality strategy and engineering excellence by establishing customer usage models, comprehensive test strategies, and quality gates early in the architecture and development lifecycle.
</li><li>Design and evolve resilient technical architectures that address complex functional, performance, scalability, reliability, and fault-tolerance challenges across systems.
</li><li>Lead complex, cross-functional technical triage by identifying systemic and architectural flaw patterns and driving durable fixes across the Agentic Development Lifecycle (ADLC).
</li><li>Architect and build scalable quality engineering frameworks spanning UI, REST/gRPC APIs, microservices, and end-to-end workflows using Java, Python, and TypeScript/JavaScript.
</li><li>Embed continuous quality into the software delivery lifecycle by integrating automated regression, monitoring, alerting, and sanity testing into modern CI/CD pipelines and developer workflows.
</li><li>Architect scalable, production-like test environments using containerization and orchestration technologies such as Docker and Kubernetes, along with synthetic test-data generation capabilities.
</li><li>Define and execute enterprise-scale performance strategies that model high-concurrency, customer workloads using JMeter, k6, and custom performance harnesses.
</li><li>Lead deep-dive performance analysis across distributed systems by analyzing CPU, memory, database, network, and execution-profiling metrics to identify bottlenecks and systemic performance issues across microservices and multi-tenant platform
</li><li>Leverage AI and intelligent automation to transform quality and performance engineering from reactive validation into proactive, continuous engineering intelligence across the development lifecycle.
</li></ul>Required Qualifications &amp; Experience
<ul><li>Experience: 12+ years of experience in software development, test automation framework architecture, and performance engineering in enterprise-grade SaaS or distributed systems environments.
</li><li>Strong coding skills in at least one modern language: Java, Python, or TypeScript/Node.js.
</li><li>Hands-on experience with modern UI and API testing frameworks (e.g., Playwright, Selenium WebDriver, Cypress, RestAssured, Postman).
</li><li>Deep expertise with load and performance tools such as K6, JMeter, or Locust, alongside APM and observability tools like Grafana, Prometheus, New Relic, or Splunk.
</li><li>Familiarity with AWS (or GCP/Azure), containerization (Docker), orchestration (Kubernetes), and CI/CD tools.
</li><li>BS or MS in Computer Science, Software Engineering, or equivalent practical experience.
</li></ul>Preferred / Nice-to-Have Skills
<ul><li>Salesforce Ecosystem: Prior experience with Apex, Lightning Web Components (LWC), Data Cloud, or Agentforce ecosystem testing.
</li><li>AI-Driven Workflows: Experience utilizing AI coding/testing assistants (e.g., Claude Code, GitHub Copilot, Cursor) or testing LLM/RAG pipelines.
</li><li>Database Optimization: Strong understanding of SQL query tuning, indexing strategies, and relational/NoSQL database performance behavior.
</li><li>Ability to support and resolve complex customer escalations through deep technical debugging, root-cause analysis, and effective cross-functional collaboration.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $344,700 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineering Lead/Principal - AI Tooling & Automation

Commure

<div><div>At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.
Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for &ldquo;Overall NLP Company of the Year.&rdquo;
Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.
The future of healthcare is being built right now. Come deliver this transformation.
About the Role
We&rsquo;re building a next-generation ambient AI platform for healthcare, helping clinicians focus on patient care by automatically capturing, understanding, and structuring clinical conversations in real time.
Mobile is at the center of this experience. Our apps support clinicians throughout their workflows, from capturing long-form conversations and reviewing AI-generated documentation to completing follow-up actions and coordinating care.
We&rsquo;re hiring a Mobile Product Engineer to help shape and build these experiences. You&rsquo;ll own meaningful product areas from idea to launch, working closely with product, design, AI, and backend teams to turn emerging technology into intuitive, dependable mobile workflows.
This role is for an engineer who thinks deeply about the people using the product, not only whether a feature works, but whether it feels fast, clear, trustworthy, and natural in a clinical environment. You&rsquo;ll spend most of your time building product experiences and owning the end to end delivery of these novel AI first workflows. Your work may also involve native mobile infrastructure challenges, and solving them to allow the product to scale.
Our mobile application is primarily built in Flutter, with native Swift/iOS and Kotlin/Android integrations where platform-specific capabilities are required. Flutter experience is helpful but not required. We value strong mobile product judgment, native platform depth, and the ability to learn across the stack.
What You&rsquo;ll Do
<ul><li>Build and own high-impact mobile experiences for clinicians, from early product exploration through launch, measurement, and iteration.
</li><li>Develop new interaction patterns for AI-native healthcare software, including:
<ul><li>Real-time transcription and ambient documentation
</li><li>AI-assisted review, editing, and clinical workflows
</li><li>Multimodal inputs and intelligent recommendations
</li><li>Agentic actions that help clinicians complete work
</li><li>Offline and low-connectivity care experiences
</li></ul></li><li>Work closely with clinicians, product managers, and designers to understand real-world workflows and translate them into simple, thoughtful mobile experiences.
</li><li>Partner with AI and backend engineers to bring model capabilities into production in ways that are responsive, understandable, and trustworthy.
</li><li>Contribute across our Flutter application and its native Swift/iOS and Kotlin/Android integrations.
</li><li>Own the quality of what you ship, including performance, accessibility, reliability, analytics, testing, observability, and release readiness.
</li><li>Prototype quickly, learn from real usage, and refine experiences based on qualitative and quantitative feedback.
</li><li>Help shape mobile product and technical strategy as the Ambient AI product line grows.
</li><li>Mentor other engineers and raise the bar for mobile engineering, product thinking, and craft across the team.
</li><li>Occasionally contribute to adjacent surfaces such as our web application or Chrome extension when a workflow spans platforms.
</li></ul>What You Have
<ul><li>4+ years of professional mobile development experience, with meaningful ownership of user-facing products or features.
</li><li>Deep experience in iOS, Android, or cross-platform mobile development.
</li><li>Strong native expertise in Swift/iOS and/or Kotlin/Android, including platform conventions, app lifecycle, permissions, background execution, and performance.
</li><li>Experience working in or a willingness to ramp onto a Flutter-based codebase.
</li><li>A track record of taking mobile experiences from ambiguous ideas to polished, production-ready products.
</li><li>Strong product judgment and attention to interaction details, usability, performance, and overall craft.
</li><li>An understanding that reliability is part of the user experience, particularly for workflows involving recording, connectivity, background execution, or sensitive data.
</li><li>Experience collaborating closely with product, design, backend, data, or AI teams.
</li><li>Comfort moving between product features and the underlying mobile systems required to support them.
</li><li>An ownership mindset and bias for action. You identify important problems, create clarity, and drive work through completion.
</li></ul>Nice to Haves
<ul><li>Experience building AI-native, conversational, or real-time product experiences.
</li><li>Experience with audio or video capture, streaming, transcription, or background recording.
</li><li>Experience with offline-first applications, sync engines, resilient local persistence, or conflict handling.
</li><li>Flutter and Dart experience, including Riverpod or similar state-management patterns.
</li><li>Experience designing or contributing to mobile design systems and reusable component libraries.
</li><li>Familiarity with mobile experimentation, product analytics, and measuring feature adoption or usability.
</li><li>Experience improving startup time, responsiveness, memory usage, battery consumption, or crash rates.
</li><li>Experience with mobile observability, CI/CD, testing, release automation, or App Store and Play Store workflows.
</li><li>Exposure to healthcare, HIPAA, SOC 2, privacy, security, or other regulated environments.
</li><li>Light JavaScript, TypeScript, Chrome extension, or web application experience.
</li></ul>Why Join
<ul><li>Build a product that directly gives clinicians more time to focus on their patients.
</li><li>Create new mobile interaction patterns at the intersection of AI, healthcare, and real-world clinical workflows.
</li><li>Work across the full product lifecycle, from understanding user problems to shipping and improving the experience.
</li><li>Solve distinctive mobile challenges involving real-time audio, offline behavior, multimodal AI, and agentic workflows.
</li><li>Have meaningful influence over mobile product direction, technical architecture, and engineering culture.
</li><li>Join at a stage where individual engineers can shape both what we build and how we build it.
</li><li>Grow into broader mobile product or technical leadership as the team and product expand.
</li></ul>Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com. Any emails from other domains are not affiliated with our organization. 
 
Employees will act in accordance with the organization&rsquo;s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
Compensation Range: $170K - $230K</div></div>

Senior Mobile Product Engineer, Ambient AI

Capital One

<div>Senior Lead AI Engineer (GenAI Platform Services)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li></ul><ul><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer 

McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer 

San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 

San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead AI Engineer (GenAI Platform Services)

Information Technology Senior Management Forum

<div><div>Posted Date 8/31/2026
</div><div>Description Senior Lead AI Engineer (GenAI Platform Services)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
 
In this role, you will:
<ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li>
</ul><ul><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li>
</ul><ul><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li>
</ul><ul><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li>
</ul><ul><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li>
</ul>The Ideal Candidate:
<ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li>
</ul><ul><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li>
</ul><ul><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li>
</ul><ul><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li>
</ul><ul><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li>
</ul>Basic Qualifications:
<ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li>
<li>At least 6 years of experience programming with Python, Go, Scala, or Java</li>
</ul>Preferred Qualifications:
<ul><li>7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li>
<li>Experience designing, developing, integrating, delivering, and supporting complex AI systems</li>
<li>Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li>
<li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li>
<li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li>
<li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li>
<li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li> 
</ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer 
 
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 
 
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer 
 
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
 
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
 
 
 
 
 
 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (GenAI Platform Services)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
 
In this role, you will:
<ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li>
</ul><ul><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li>
</ul><ul><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li>
</ul><ul><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li>
</ul><ul><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li>
</ul>The Ideal Candidate:
<ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li>
</ul><ul><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li>
</ul><ul><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li>
</ul><ul><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li>
</ul><ul><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li>
</ul>Basic Qualifications:
<ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li>
<li>At least 6 years of experience programming with Python, Go, Scala, or Java</li>
</ul>Preferred Qualifications:
<ul><li>7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li>
<li>Experience designing, developing, integrating, delivering, and supporting complex AI systems</li>
<li>Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li>
<li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li>
<li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li>
<li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li>
<li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li> 
</ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer 
 
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 
 
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer 
 
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
 
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
 
 
 
 
 
 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
</div><div>Salary229,900.00 - 262,400.00 Annual
</div><div></div><div><div>Type
<div>Full-time</div></div></div></div>

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