ai engineering manager

Oracle

<div>Oracle's AI Data Platform is accelerating enterprise AI and redefining how AI applications are built. The AI Data Platform team is seeking an experienced Senior Software Engineering Manager to lead key initiatives that accelerate adoption of modern AI technologies across our AI Data Platform.
In this highly strategic role, you will drive the design, development, and integration of state-of-the-art AI solutions. You will collaborate with stakeholders across product, engineering, and science to shape the AI Data Platform&rsquo;s AI roadmap and deliver differentiated value to enterprise customers and partners.</div>
 <div>Key Responsibilities
<ul><li>Build and lead a high-impact engineering team dedicated to developing and operationalizing modern AI capabilities&mdash;including Agents, GenAI models, and RAG workflows&mdash;within the Oracle AI Data Platform.
</li><li>Define and execute the vision for next-generation AI services and tools that enable advanced automation, insights, and productivity for enterprise applications.
</li><li>Evaluate, architect, and integrate emerging AI technologies&mdash;assessing their relevance, maturity, and impact on the AI Data Platform.
</li><li>Establish best practices for scalable, secure, and robust deployment of GenAI and RAG-powered services, ensuring seamless integration with Oracle&rsquo;s cloud and application ecosystem.
</li><li>Shape technical strategy and influence the platform roadmap by translating market and customer requirements into actionable engineering plans.
</li><li>Foster cross-functional collaboration with product, engineering, science, and enterprise customers to prototype and validate innovative AI-powered workflows.
</li>Drive pilots and joint initiatives with strategic customers and partners to accelerate adoption of Oracle&rsquo;s AI Data Platform offerings. 
<li>
</li></ul>Qualifications
<ul><li>Proven experience leading technical innovation teams in AI/ML, cloud data platforms, or large-scale infrastructure environments.
</li><li>Deep technical expertise in machine learning systems, GenAI/LLM model architectures, and development/deployment of AI agents or RAG pipelines at enterprise scale.
</li><li>Demonstrated track record of delivering complex, high-impact features or platforms from concept to customer adoption and operational stability.
</li><li>Strong business acumen with the ability to balance strategic vision with operational execution and customer needs.
</li><li>Exceptional communication and stakeholder management skills, with the ability to influence at all levels including with enterprise customers.
</li><li>Experience driving end-to-end engineering solutions in partnership with cross-functional teams, including science, engineering, and customer-facing roles.</li></ul></div>

Software Development Snr Manager

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers &lsquo;Fly Better&rsquo;. Do you want to play a part in that journey and own technical products used by stakeholders and customers across the world? Join us in Cosmopolitan Dubai as a Technical Manager and make your mark on the aviation world!
As a Technical Manager in the AI space, you will lead a team of AI engineers focused on building and scaling GenAI solutions. You should have deep hands-on experience with Generative AI development, including LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering. Familiarity with cloud platforms such as AWS, Azure, and GCP is essential. This role requires strong technical leadership, strategic thinking, and the ability to drive innovation across enterprise-grade AI platforms. 
 
As a Technical Manager, you will manage the technical lifecycle of the relevant technologies and services under the technical manager responsibilities. You will design, engineer, plan, implement, operate and support each technology, ensuring they meet business requirements and comply with corporate policy and standards. A Technical Manager will provide documented operational processes and procedures for 1st and 2nd level operational support groups, as well as act as a centre of excellence and 3rd level support for the respective technologies and ensure the respective technologies have optimum capacity and availability to meet the existing and future needs of the business. You will manage and minimize risks within the respective technologies.
In this role, you will:
<ul><li>Define KPIs for the teams in line with departmental goals and objectives. Consistently meet or exceed agreed KPIS. Ensure all communications, reports and updates are accurate and consistently delivered in a timely manner.
</li><li>Ensure technologies comply with corporate security policies and procedures and all audit observations, risks and/or exceptions are identified and positively managed. Ensure all security and other operating system patches are promptly identified, reviewed, and assessed for their impact on the relevant environment and accordingly implemented on the relevant technologies.
</li><li>Responsible for providing 3rd level support for the relevant technology environment to the Incident and the Problem Management teams ensuring efficient root cause analysis is provided and avoiding reoccurrence of incidents.
</li><li>Collaborate closely with all IT teams to deliver products and services that contribute to the organization growth.
</li><li>Responsible for setting clear and consistent performance objectives, implementing performance management and development plans to ensure standards of performance and productivity are achieved and maintained enabling a high performance culture. Manage the technical expertise within the team so that resources are appropriately and effectively allocated. Assign suitably qualified resources to projects to support the ongoing IT work programme.
</li><li>Identify and develop needed products or services by creating Business Cases, conducting RFTs and coordinating with various stakeholders inside IT as well as other departments.
</li><li>Develop and effectively manage the team and technology budgets. Manage total cost of ownership of products and services within the respective technologies ensuring costs are identified, defined and reported, to enable businesses to make informed financial decisions, positively contribute to the process of cost control and provide financial transparency.
</li><li>Work closely with teams responsible for vendor management and vendor contract negotiations, to ensure SLAs are monitored and managed and contracts are seen to be value for money.
</li><li>Provide technical consultancy and guidance to the team members and technical manager of other technologies, enterprise architects, and project teams. Providing technical expertise to the enterprise architecture team for defining architecture strategy and standards and design the relevant technologies accordingly.
</li><li>Identify areas of improvement in existing technologies including end of life technology replacement and evaluation of new relevant technologies within the relevant environment in accordance with industry trends. Drive projects through assigned project managers.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role you must meet the below requirements:
<ul><li>Degree in a subject relevant to IT
</li>Experience of specialist technical experience, within a business IT environment. 
<li>
</li></ul> 
Knowledge/skills:
<ul><li>Client-server technologies and architecture
</li><li>Operating Systems, Hypervisors, Storage &amp; Backup Technologies and architecture
</li><li>IT security and protection, cyber defence technologies and architecture
</li><li>Hands-on GenAI Solution design and development, including but not limited to LLM, SLM, Prompt Engineering, RAG, Fine-Tuning
</li><li>Understanding of LLM safety, security, and responsible AI guardrails
</li><li>Database technologies and architecture
</li><li>Web technologies and architecture
</li><li>DevSecOps engineering and practice
</li><li>Site Reliability engineering and practice
</li><li>Observability technologies and architecture
</li><li>Development tooling and developer experience enhancement
</li><li>Hyperscale hybrid cloud technologies engineering, operations, and architecture
</li><li>Container Platform technologies and architecture
</li><li>Automation technologies and architecture
</li><li>ITIL Processes Framework
</li></ul>Leadership Role: Yes
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers .</div>

Technical Manager

Linguistic Engineering Manager

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
As part of SAP&rsquo;s Application AI organization, you&rsquo;ll lead a team at the forefront of enterprise AI innovation. You&rsquo;ll shape how SAP&rsquo;s customers plan, build, and visualize with generative AI&mdash;across Sales, Marketing, Finance, HR, and beyond. By joining Experience Generation, you&rsquo;ll have the opportunity to lead talented engineers, collaborate with researchers and product visionaries, and deliver technologies that redefine how businesses operate. 
What You&rsquo;ll Do
As an Engineering Manager, you will lead a team of talented engineers building the next generation of SAP&rsquo;s generative-AI services. You&rsquo;ll provide technical and people leadership, ensuring our projects deliver both innovation and enterprise reliability. Working closely with product managers, researchers, and partner teams across SAP, you&rsquo;ll shape roadmaps, remove execution barriers, and build a high-performing engineering culture. 
Key Responsibilities<ul><li>
Lead, mentor, and grow a cross-functional team of engineers (junior to senior) delivering production-grade AI workflows.</li><li>
Drive technical execution for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.</li><li>
Partner with product leadership to define roadmaps that balance innovation with enterprise-grade scalability, governance, and security.</li><li>
Ensure engineering excellence through code reviews, architectural oversight, and best practices in testing, deployment, and monitoring.</li><li>
Foster a culture of collaboration, continuous learning, and experimentation within the team.</li><li>
Coordinate with SAP AI platform teams (e.g., GenAI Hub, BTP, HANA Cloud) to align on shared infrastructure and governance standards.</li><li>
Translate cutting-edge research (e.g., LLMs, RAG, diffusion, multimodal) into scalable, trusted enterprise solutions.</li><li>
Manage delivery timelines, resource allocation, and stakeholder communication.</li></ul> 
What You Bring:<ul><li>
8+ years of professional experience in software or machine learning engineering, including at least 2+ years in engineering management or technical leadership roles.</li><li>
Strong technical background in ML/AI (LLMs, embeddings, multimodal generation, or agentic systems).</li><li>
Proficiency in Python or another language such as Go or TypeScript, and understanding of distributed systems is highly desirable.</li><li>
Experience leading teams working with cloud-native infrastructure (Kubernetes, AWS/Azure), data platforms (Postgres, Cassandra, vector databases), and modern frontend frameworks (React/Next.js).</li><li>
Proven ability to deliver production AI systems at scale with attention to quality, reliability, and security.</li><li>
Demonstrated success in mentoring engineers, fostering team growth, and creating an inclusive, high-performance culture.</li><li>
Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.</li></ul> 
Meet Your Team:
The Experience Generation team at SAP is transforming how enterprises move from an idea to a production-ready outcome. Our trio of generative-AI services&mdash;Deep Research &amp; Planning, Experience Builder, and Visual Services&mdash;empower business users to create strategic plans, role-aware micro-apps, and branded commerce imagery in minutes. Every output remains anchored to governed enterprise data and standards, ensuring both agility and trust.
Our platform combines a React/Next.js front end, a Python + FastAPI backend orchestrating LangGraph sub-agents, and Gardener-managed Kubernetes for scale. Data persistence spans Postgres, Cassandra, and HANA Cloud&rsquo;s new vector engine, with SAP&rsquo;s Generative AI Hub providing foundation model choice and governance. Together, these systems deliver an enterprise-grade substrate for controllable, scalable AI workflows across all SAP lines of business.
#SAPInternalT4PM<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 433529 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Machine Learning Engineer Manager

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 We are looking for an experienced and hands-on Engineering Manager to lead a high-impact team of 6-8 AI engineers and research scientists, directly shaping the future of Motive's road and driver safety perception technology, developing industry-leading ADAS-like features such as forward collision warning, collision detection, unsafe lane changes, distracted driving, etc. Your primary mission will be to transform cutting-edge AI research into robust, production-ready features, driving the development lifecycle from initial concept through to successful in-field deployment and continuous optimization.
 
 
 You won't just manage; you'll inspire, mentor, and empower. This role demands a leader who thrives on both technical depth and people development. You will be the linchpin ensuring our ADAS-like AI functionalities are not only delivered on schedule but also set new benchmarks for quality, reliability, and performance in real-world conditions. If you are ready to make a significant technical contribution, build an exceptional team, and deliver AI products that redefine user experience and safety, this is the role for you.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead, mentor, and inspire a team of 6-8 AI engineers and scientists, fostering a collaborative, focused, and high-performing environment.
 </li>
 <li>
 Actively coach and grow individual contributors, providing constructive feedback, managing performance, and supporting their technical improvement and career development.
 </li>
 <li>
 Foster a culture of technical excellence, continuous learning, and shared responsibility.
 </li>
 <li>
 Take an active and hands-on role in roadmap planning, technical decision-making, and providing expert guidance for the development of AI/ADAS-like features.
 </li>
 <li>
 Drive the design, development, and deployment of robust AI models for critical functions like lane keeping, collision warning, and trajectory prediction.
 </li>
 <li>
 Oversee the entire product lifecycle from research to in-field deployment, ensuring features meet quality, performance, and reliability standards in production.
 </li>
 <li>
 Stay at the forefront of AI, machine learning, computer vision, and ADAS technologies, integrating relevant advancements into our product strategy.
 </li>
 <li>
 Develop, enforce, and continuously improve engineering processes and best practices across the team to enhance efficiency and quality.
 </li>
 <li>
 Effectively communicate with cross-functional stakeholders (Product, Hardware, etc.), influencing product strategy, technical architecture decisions, and process-related choices.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field. Ph.D. is a plus.
 </li>
 <li>
 5+ years of hands-on experience in Computer Vision and/or Machine Learning, with a deep understanding of training and deploying Machine/Deep Learning models.
 </li>
 <li>
 2+ years of recent engineering management experience leading an AI/ML focused team of 6+ engineers.
 </li>
 <li>
 Proven track record of successfully launching and operating Computer Vision or Machine Learning applications at scale.
 </li>
 <li>
 A deep understanding of the process and challenges involved in building and maintaining large-scale ML products, especially those requiring high reliability and performance in the field.
 </li>
 <li>
 Exceptional leadership skills with a demonstrated ability to recruit, hire, coach, and grow engineering talent.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
 </li>
 <li>
 Experience in ADAS (Advanced Driver-Assistance Systems) or Autonomous Driving is a strong plus.
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with sensor fusion (e.g., camera, radar, lidar data).
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP) for MLOps and model deployment.
 </li>
 <li>
 Familiarity with real-time embedded systems or automotive-grade software development.
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here .
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Engineering Manager, Machine Learning, Perception

Ernst & Young AE

In Financial Accounting &amp; Advisory Services (FAAS) within Assurance, we assist our clients to address the accounting and financial reporting challenges facing their business. You will be part of a team that provides insight and services that accelerate analytics, decision-making and innovation to build a stronger and more efficient finance function. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching.
This opportunity is within our Data &amp; AI team, focusing on AI Engineering and Generative AI (GenAI) solutions.
You will also play a key role in growing our AI offerings, mentoring junior professionals, and shaping strategic AI transformation initiatives.
Your key responsibilities
As a manager, you will be expected to lead the design, development, and deployment of AI and GenAI solutions across diverse industries while managing project teams delivering AI use cases, ensuring solutions meet business requirements, are production-ready, and comply with governance standards. You will work with stakeholders to identify and prioritize high-impact opportunities for AI implementation. Also, you will collaborate with data engineers, architects, and business consultants to integrate AI models into broader enterprise ecosystems.
Moreover, you will be responsible to guide the adoption of LLM and GenAI technologies (e.g., ChatGPT, Claude, Azure OpenAI, HuggingFace), driving innovation in areas such as financial document analysis, reporting automation, and virtual assistants and ensure AI solutions are scalable, ethical, explainable, and aligned with clients compliance needs.
You shall provide support proposal development and business development initiatives across MENA and stay current with evolving AI trends, frameworks, and tools, helping shape EY s AI capabilities and offerings.
Skills and attributes for success
<ul>
<li>Proven ability to lead technical teams and deliver complex AI-enabled projects</li>
<li>Excellent communication skills and ability to work across business and technical domains</li>
<li>Entrepreneurial mindset and willingness to drive innovation in ambiguous environments</li>
<li>Passion for emerging technologies, experimentation, and continuous learning</li>
<li>Strong organizational and project management skills</li>
</ul>

Manager - Digital FAAS - Data & AI

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As the Engineering Manager for QVAC, our Local AI SDK, you will lead a cross-functional team of C++ and JavaScript developers focused on building and optimizing AI tools for local deployment. This role involves overseeing the development lifecycle, from planning to deployment, in a fast-paced environment where performance and efficiency are critical.
You will report to the Head of AI Development and play a key role in advancing our AI capabilities for edge computing applications.
Responsibilities<ul><li>
Own timely and high-quality delivery of features by establishing clear milestones, conducting code reviews, and working with the project management team to track progress and mitigate risks.</li><li>
Manage team leads and individual contributors, organizing workflows according to the product roadmap, including resource allocation, sprint planning, and performance evaluations to foster team growth and productivity.</li><li>
Collaborate with cross-functional teams, such as product management and research to ensure SDK compatibility across platforms, resolve integration issues, and align on technical standards.</li><li>
Ensure that the solutions developed are of high technical standards and follows robust architectural practices established within the company</li></ul><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related discipline.</li><li>
8+ years of combined experience in JavaScript and C++ development, with proven engineering management experience leading SDK or similar software development projects, including hands-on involvement in architecture design and team scaling.</li><li>
Strong understanding of AI frameworks and low-level hardware optimizations, such as GPU/CPU acceleration, tensor operations, and memory management techniques essential for efficient local AI inference.</li><li>
Excellent communication and leadership skills, with a track record of leading large teams (40+ members) through complex projects, including conflict resolution, mentoring, and stakeholder management.</li></ul>
Nice to have<ul><li>
Experience with AI SDKs like TensorFlow Lite, ONNX Runtime, or similar tools for local deployment.</li><li>
Familiarity with cross-platform development, including WebAssembly for JavaScript integration with C++ backends.</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Engineering Manager (100% remote)

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