Job Description About Tallo: Tallo is a career discovery and talent connection platform that helps more than 2 million people, mostly students and early-career starters, explore what they're capable of. We connect them with jobs, apprenticeships, scholarships, and learning opportunities. We believe skills and potential matter more than pedigree. Someone who learned through an apprenticeship or taught themselves should have the same shot as someone with a four-year degree. That's the world we're building toward. SUMMARY: We're looking for an Engineering Manager to lead a team of developers that make our platform work so we can deliver on our mission. This is a people-first leadership role. You'll invest deeply in the growth of your engineers, build strong cross-functional relationships, and help us ship software that actually matters. You won't be managing a process. You'll be developing people. What You'll Do: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. - Coach and support the engineers on your team. They should never wonder how they are doing or how they can grow. Regular, honest feedback is the job. - Partner closely with product, design, and other technology leaders to set direction, align on priorities, and deliver solutions that work - Attract and retain strong engineering talent. Build a team people want to be part of. - Keep your team unblocked and moving. Resolve ambiguity before it becomes a problem. - Collaborate with other engineering groups on integrations, best practices, and new technologies - Lead tier-3 engineering support for your domain: triage, resolution, clear communication, and root cause fixes - Participate in technical design discussions and architectural decisions across the broader engineering org - Identify opportunities for innovation in products, tooling, and processes - Use AI tools thoughtfully to help your team work smarter Supervisory Responsibilities: Directly supervises approximately 5-10 Full-time Equivalent (FTE) and contract employees. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. What We're Looking For: - Five plus (5+) years of experience leading engineering teams, with a track record of developing people and building strong team cultures - Clear, consistent approach to feedback. Direct reports always know where they stand and what growth looks like for them. - Ability to attract, grow, and retain engineering talent - Strong written and verbal communication. Able to influence decisions, navigate disagreement, and present clearly to technical and non-technical audiences. - Experience managing teams delivering production software across the full product lifecycle - Understanding of application architecture, integration design, deployment, and testing - Ability to clear a background check Certificates and Licenses: None Required Nice to Have: Familiarity with any of the following is a plus: - AWS experience - services like API Gateway, Elastic Beanstalk, Aurora, Lambda, S3, and CloudWatch - Java / Spring Boot, which is the backbone of our backend - React / TypeScript, which powers all of our web UIs via a Turborepo monorepo - CI/CD pipelines, we use AWS CodePipeline and CodeBuild across all services - Mobile development, infrastructure-as-code, enterprise identity/SSO platforms, observability platforms, feature flag systems, PHP legacy systems and modernization strategies - Workflow automation platforms, database migration tools, PHP legacy systems and modernization strategies, data pipeline / ETL patterns - Background in ed-tech, career platforms, or two-sided marketplaces - Experience in a startup or early-stage technology company Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - This is a remote position, open to US-based candidates in all 50 states. COMPENSATION & BENEFITS: Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee’s salary level. Salaries will differ based on these factors, the position’s level and expected contribution, and the employee’s benefits elections. Offers will typically be in the bottom half of the range. We anticipate the salary range to be $132,000-$150,000. Eligible employees may receive a bonus. This salary is not guaranteed, as an individual’s compensation can vary based on several factors. These factors include, but are not limited to, geographic location, experience, training, education, and local market conditions. Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off. The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is "at-will" as governed by the law of the state where the employee works. It is further understood that the "at-will" nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer. Interested? Tell us about the engineering team you're most proud of building. We'd love to hear from you. Job Type Regular The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is “at-will” as governed by the law of the state where the employee works. It is further understood that the “at-will” nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer. If you are a job seeker with a disability and require a reasonable accommodation to apply for one of our jobs, you can request the appropriate accommodation by contacting stridecareers@k12.com. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Stride, Inc. is an equal opportunity employer. Applicants receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or any other basis prohibited by federal, state, or local law. Stride, Inc. complies with all legally required affirmative action obligations. Applicants will not be discriminated against because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

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.