Job Title: Head of Engineering Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We are hiring a Head of Engineering to own the entire technical function of an early-stage SaaS platform. This is a hands-on leadership role where you will write production code daily while making architecture, infrastructure, and AI system decisions for a platform operating at scale. You will be accountable for backend architecture, system reliability, AI pipelines, and guiding a small development team in a fast-moving startup environment. Responsibilities Backend Architecture & Engineering - Design, build, and maintain a .NET 8.0 / C# backend using Clean Architecture and DDD principles - Own the architecture and codebase across 14+ independently deployed microservices - Deliver new features, refactor existing systems, and resolve performance bottlenecks AI Systems & LLM Orchestration - Design and operate production-grade AI pipelines across multiple LLM providers - Optimize prompts and workflows for batch processing, personalization, and segmentation at scale - Manage rate limits, failover strategies, and cost optimization across AI providers Databases & Data Infrastructure - Manage MySQL, Redis, and MongoDB in production environments - Oversee bulk writes, caching strategies, event streams, and analytics pipelines - Ensure data consistency and performance across distributed services Infrastructure, Reliability & Monitoring - Own Linux-based infrastructure, CI/CD pipelines, and service deployments - Implement centralized logging, monitoring, alerting, and uptime tracking - Proactively identify and mitigate reliability and scalability risks API Integrations & System Resilience - Manage 25+ third-party API integrations used in production - Design retry, fallback, and graceful degradation strategies - Ensure system stability when external providers fail or degrade Team Leadership & Engineering Standards - Lead and mentor a small engineering team through code reviews and architectural guidance - Set and enforce engineering standards, workflows, and best practices - Collaborate closely with the founder on product direction and technical strategy What Makes You a Perfect Fit - You are a senior, hands-on engineer who enjoys owning systems end-to-end - You are comfortable being the most experienced technical person on the team - You balance fast execution with long-term architectural thinking - You take ownership of reliability, performance, and technical outcomes - You thrive in early-stage startup environments Required Experience & Skills - Deep expertise in .NET 8.0, C#, ASP.NET Core, and Entity Framework Core - Experience with distributed systems and independently deployed services - Strong production experience with MySQL, Redis, and MongoDB - Hands-on DevOps experience with Linux servers and CI/CD pipelines - Experience managing large numbers of third-party API integrations - Proven experience building and operating AI/LLM systems at scale - Familiarity with AI-assisted development tools and workflows - Strong understanding of monitoring, observability, and incident prevention - Experience leading small engineering teams - Strong English communication skills What Does a Typical Day Look Like ? - Write and review production backend code - Make architectural decisions across services, databases, and AI pipelines - Monitor system health and resolve reliability issues - Guide developers through code reviews and technical feedback - Collaborate with the founder on product and system evolution In short: You own the technical foundation of the platform and ensure it scales reliably while enabling rapid product development. Key Metrics for Success (KPIs) - System uptime and service reliability - Backend and AI system performance improvements - AI cost efficiency and pipeline stability - Code quality and deployment reliability - Team execution and delivery quality Interview Process - Initial Screening Call - Technical Interview with Pavago Recruiter - Client Interview - Offer & Onboarding

The Security Incident Response team is part of our Resilience Engineering organisation and plays a vital role in keeping Datadog safe. Our goal is to ensure that Datadog is prepared for and efficiently responds to security-related incidents, ensuring that threats to our systems and data are contained as fast as possible. We also partner with teams after incidents by leveraging them as opportunities to learn. By focusing on our ability to adapt and fix systemic problems, we contribute towards a larger culture of building resilience in our people and systems. As an Engineering Manager, you will help us realize this mission by leading a talented group of engineers who are committed to driving Datadog’s incident response capabilities to the next level. Along with building tools and automation to streamline our efficiency, you will work with key stakeholders across Datadog to ensure we are focusing our efforts in the right areas and are measuring how we improve. As part of a leadership team, you will be active in shaping our organizational strategy and culture. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Lead and mentor a team of experienced incident responders who are passionate about building a culture of security and resilience at Datadog. Help engineers grow to the next level and continuously provide them opportunities to develop. - Serve as a hands-on leader during incidents. Lead under pressure, make decisions in ambiguous situations, and collaborate across several teams to drive towards resolution. Be on-call in our secondary rotation (along with around 5 other leaders), which is escalated to when responders need help with resourcing or decision-making. - Ensure the team is triaging alerts and signals in Datadog Cloud SIEM consistently and to a high level so that we can respond to emerging threats. Partner with our Threat Detection team to tune and calibrate these signals so they’re delivering value. - Build tools, systems, and processes to ensure Datadog is maturing its security incident response capabilities. Ensure that our operational capabilities are measured and communicated with stakeholders. - Lead post-incident analysis efforts so that engineers at Datadog learn from security incidents, ensuring postmortems are blameless and actionable. Ensure we are capturing follow-up items that repair systematic issues and prevent repeated patterns. - Partner with Datadog’s product management team by providing feedback on features and be willing to champion areas for improvement. Work with other security teams within Datadog to develop strategies and plans to prevent future security incidents. Who You Are: - 2-3 years experience as a people manager or as a technical leader with strong mentorship skills. Ideally candidates will have experience in career development, performance management, tracking and optimizing team velocity, OKRs, and hiring candidates into diverse and inclusive organizations. - 3-5 years experience working in incident response teams and large-scale incident response programs, with particular focus on security-related incidents and threats. Strong ownership and an ability to work outside your comfort zones to return Datadog to a stable state when failure does occur, even if it falls outside team boundaries. - Technical pragmatism and an ability to help the team reason about trade-offs around implementation. You will often review the decisions and RFCs from senior engineers, and you will need to blend both your technical and business acumen to do this. - Strong distributed systems knowledge. While we are not in the critical path for customer-facing infrastructure, we support people who are, so we need to leverage our technical experience to build credibility. We frequently read postmortems and offer suggestions, so you will need a good technical baseline. - Strong stakeholder management skills. This will involve using your empathy, collaboration, and communication skills in English to work remotely with people across teams. Because our programs touch lots of different parts of the business, we frequently collaborate with stakeholders across Datadog and need to motivate teams to work together towards a shared goal. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. #LI-Remote About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Role Description Ford Enterprise Platform & Engineering Operations (EPEO) is seeking an experienced AI Security Engineering Manager to lead the engineering and operational security of enterprise AI platforms and applications. - Drive the design and implementation of security capabilities protecting AI models, AI-powered applications, and AI developer platforms across Ford’s enterprise ecosystem. - Focus on securing both internally developed AI systems and third-party AI technologies, ensuring governance, runtime protection, and operational monitoring. - Help build and operate a next-generation AI security platform that integrates capabilities from Microsoft AI Security, Palo Alto Prisma AIRS, Google Model Armor, and enterprise security platforms. - Enable safe and scalable AI adoption across Ford. Qualifications - Proven experience in AI security engineering. - Strong understanding of enterprise security frameworks. - Experience with AI models and applications. - Familiarity with security tools and platforms such as Microsoft AI Security, Palo Alto Prisma AIRS, and Google Model Armor. Requirements - Leadership experience in engineering and operational security. - Ability to design and implement security solutions for AI technologies. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. Benefits - Competitive salary and performance-based bonuses. - Comprehensive health benefits. - Retirement savings plans. - Opportunities for professional development and training.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the Role We’re looking for a Live Category Manager (L25) to help build and scale the Sneakers category on eBay Live from the ground up. Sneakers is a priority and high-potential category with a deeply engaged community. This is a builder role. You will move quickly, test aggressively, and iterate in real time to identify what works. You’ll own key parts of category growth — including sourcing and onboarding sellers, launching and optimizing live events, and driving GMV — while developing the playbooks that will define how Sneakers scales on Live. You’ll work directly with sellers, creators, and internal partners, acting as both an operator and strategist to unlock growth in a complex, fast-moving market. What You Will Accomplish Drive category growth through rapid execution - Support delivery of GMV targets for Sneakers on eBay Live - Operate with a strong bias to action — launching quickly, learning fast, and iterating - Identify and test new formats (drops, auctions, bundles, hype releases, etc.) to unlock growth Source and onboard high-potential sneaker sellers - Identify, pitch, and onboard sellers across the sneaker ecosystem (resellers, shops, collectors, creators) - Leverage data, market knowledge, and emerging trends to prioritize the right supply - Support onboarding and help sellers ramp quickly on Live Run a strong test-and-learn loop - Continuously experiment with seller mix, inventory strategy, pricing, and live formats - Use data and market intuition to evaluate performance and refine approach - Capture learnings and help build repeatable playbooks for the category Support seller success - Convince sellers to invest time and resources in eBay live, and help them make that investment worthwhile - Understand drivers of success on the eBay live platform and coach your portfolio of sellers accordingly - across assortment, live host, production, selling formats, marketing, etc. - Advocate for sellers with cross functional teams, come up with solutions to problems, seed new programs to help sellers be successful, lobby for them, and activate against them - Build trust and credibility with sellers through consistent results Execute business development & negotiations - Support deal-making with sellers, including pricing, incentives, and participation structures - Apply strong business judgment and financial discipline - Help ensure sustainable, scalable economics for the business Collaborate cross-functionally - Work closely with product, marketing, and operations to support successful events and seller growth - Surface insights and advocate for improvements to the Live platform based on Sneakers needs Additional Details The base pay range for this position is expected in the range below: $86,800 - $150,100 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.