Engineering Manager | Growth and Transformation

🏢 Summary: Hybrid Software Engineer role focused on building and operating financial services web platforms using Next.js within high-availability, multi-cloud Kubernetes environments. The position emphasizes AI-assisted development, automation, and agentic workflows to enhance engineering delivery and operational excellence. Engineers collaborate cross-functionally while contributing to SRE practices and cloud-native infrastructure. 🗂️ Requirements: 3–5 years of software engineering experience, Proficiency in JavaScript and TypeScript, Strong experience with React and Node.js, Hands-on experience with Next.js, Production experience with Kubernetes, Experience with multi-cloud environments (AWS, GCP, or Azure), Understanding of RESTful APIs and microservices architecture, Experience with server-side rendering, Experience with testing (unit, integration, end-to-end), Experience with CI/CD pipelines, Experience building automation or internal tooling, Proficiency with AI-assisted development tools, Ability to work hybrid in Charlotte, NC or New York, NY, Authorization to work in the U.S. without visa sponsorship 📃 Skills: JavaScript, TypeScript, React, Node.js, Next.js, Kubernetes, AWS, GCP, Azure, REST, Microservices, CI/CD, Harness, GitHubActions, GitHubCopilot, Cursor, Claude, SQL, NoSQL, GoogleAnalytics, Mixpanel 🏢 Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week. Red Ventures is looking for a Software Engineer to join our Banking Client Services organization. You’ll build and operate financial services web platforms for our banking partners using Next.js, hosted in high-availability multi-cloud Kubernetes environments. You’ll do it within a team that treats AI and automation as fundamental to how modern software gets built. Our engineering group is AI-forward. We’ve integrated agentic workflows and automation into coding, ticket management, compliance, and cross-functional problem-solving and we expect every engineer to actively contribute to that momentum. You’ll use AI-assisted tools daily, build automation that makes the team faster, and partner with business and data science teams to apply AI to real problems. This is an IC engineering role reporting to an Engineering Manager with a clear path for growth as our client partnerships expand. Curious how Growth and Transformation fits into Red Ventures? Click here. What You’ll Do: Engineering Delivery Build and maintain financial services web platforms using Next.js (React, TypeScript) with a focus on performance, reliability, and partner-grade quality. Deploy and operate applications in high-availability, multi-cloud Kubernetes environments, contributing to infrastructure-as-code, CI/CD pipelines, and deployment automation. Contribute to SRE practices: observability, alerting, incident response, and operational maturity for client-facing web properties. Write well-tested, reviewable code and actively participate in code reviews, advocating for quality across the team. Collaborate with designers, business stakeholders, and data science partners to deliver solutions that strengthen client trust. AI & Automation Build and maintain agentic workflows and automation that improve engineering delivery, spanning coding assistance, ticket management, compliance processes, and operational tasks. Use AI-assisted development tools (IDE integrations, CLI agents, code review automation) as a core part of your daily workflow to accelerate output and improve quality. Partner with business and data science teams to identify automation opportunities and build AI-driven solutions to operational and client-facing problems. Evaluate emerging AI/ML tooling for software development and recommend adoption where it reduces toil or improves outcomes. Develop internal tooling and developer experience improvements that help engineers across teams move faster. What We’re Looking For: Software Engineering (3–5 Years Experience) Strong proficiency in JavaScript/TypeScript, React, and Node.js. Hands-on experience with Next.js is strongly preferred. Experience deploying and operating applications on Kubernetes in production environments. Familiarity with multi-cloud architectures (AWS, GCP, or Azure) is a plus. Solid understanding of web application architecture: client-server models, RESTful APIs, microservices, and server-side rendering. Demonstrated emphasis on code quality: testing strategies (unit, integration, end-to-end), code review practices, and engineering best practices. Experience with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions). Familiarity with Agile/Scrum methodologies and iterative delivery within sprint-based workflows. AI Fluency & Automation Demonstrated experience building automation, internal tooling, or agentic workflows. Proficiency with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar IDE and CLI integrations. A builder’s mindset: you actively look for opportunities to automate repetitive work, streamline processes, and apply AI to engineering problems. Willingness to experiment with emerging AI capabilities and drive adoption through working examples and documentation. Collaboration & Communication Clear written and verbal communication skills. Ability to explain technical decisions to peers and cross-functional partners. Comfort working across functions, you’ll collaborate regularly with data science, business, and design teams. A collaborative, team-first approach. You contribute to a psychologically safe environment and share knowledge freely. Nice to Have: Familiarity with web analytics tools (e.g., Google Analytics, Mixpanel) and using data to inform engineering decisions. Experience with databases (SQL and/or NoSQL) and their integration with web applications. Understanding of container orchestration and cloud-native tooling beyond Kubernetes basics. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range: Charlotte, NC Hybrid Compensation Range: $80,000 – $140,000 per year New York, NY Hybrid Compensation Range: $100,000 – $175,000 Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-KS1 #LI-HYBRIDClick here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🏢 Summary: Full Stack ML Engineer role focused on rapidly prototyping and building AI-driven full-stack tools, ML systems, and scalable infrastructure to support researchers and entrepreneurs. The position combines machine learning expertise with front-end and back-end development to deliver production-ready AI products. It involves developing, optimizing, and deploying robust ML pipelines in a fast-paced, innovation-driven environment. 🗂️ Requirements: Bachelor's degree in Computer Science or equivalent practical experience, 5+ years of software development experience, 3+ years of experience building production ML systems and infrastructure, Strong knowledge of data structures and algorithms, Experience in data engineering with SQL or Spark, Proficiency in JavaScript and React, Experience with backend development in Python or Rust, 2+ years of experience with ML frameworks, Experience working with AI accelerators such as GPUs or TPUs 📃 Skills: Python, Rust, C++, JavaScript, React, SQL, Spark, PyTorch, TensorFlow, JAX, Ray, MLFlow, GPUs, TPUs, BERT, Transformers 🏢 Description: About Us Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.About the Role: We are seeking a self-starting Full Stack ML Engineer to join our venture studio engineering team. In this role, you will rapidly prototype and develop tools, visualizations, and products that empower researchers and entrepreneurs to build AI-driven startups. This position requires deep expertise in machine learning, proficiency across the full stack, and the ability to work independently in a fast-paced, innovative environment. This is a remote role, with travel expectations to attend our bi-annual All Hands and other travel as needed (~10% or less). Responsibilities: Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs. Design, implement, test, and debug code across front-end, back-end, and data pipelines. Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions. Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development. Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment. Establish best practices for reliable and reproducible ML model development. Contribute to the creation of scalable, high-performance infrastructure for AI-driven products. Minimum Qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 5 years of experience in software development (e.g., C++, Python, Rust) with a focus on data structures and algorithms 3 years of experience building production-quality machine learning systems and infrastructure, with deep expertise on data engineering (SQL/Spark) Proficiency in JavaScript, React, and other web technologies for front-end development. Experience with backend languages (preferably Python or Rust) and system design. 2 years of experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX, Ray, MLFlow) and AI accelerators (e.g., GPUs, TPUs). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Hands-on experience with large language models (LLMs), generative AI, or natural language processing. Familiarity with model architectures (e.g., transformers, encoders, decoders) and post-training techniques. Experience launching AI-driven products or working with technical customers Proficiency in distributed computing, containerizing ML workloads, and debugging complex ML pipelines. Strong interest in AI safety and responsible deployment 2+ years of experience working in an early stage (Seed / Series A) startup You Might Thrive in This Role If You: Are a versatile team player comfortable with ambiguity and rapid iteration. Excel at building maintainable backend infrastructure and user-facing products. Can balance research exploration with engineering rigor and operational reliability. Have a track record of shipping high-quality software under tight deadlines Enjoy collaborating across research, engineering, and entrepreneurial teams to drive innovation. Representative Projects: Optimizing inference request routing to maximize compute efficiency Scoping an AI Agent Architecture to automate a business need or be a part of a new feature for a new incubation we are working on. Contributing to new inference features (e.g. structured sampling, fine tuning) Supporting inference for new model architectures Building a custom BERT model for bespoke classification needs Ensuring smooth and regular deployment of inference services Analyzing observability data to tune performance based on production workloads Salary Range: $140,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors. #LI-RCP Our Red Cell Partners Benefits: For full-time roles Career track opportunity with potential for rapid advancement with strong performance as the firm grows 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. Paid maternity and paternity for 14 weeks at employees' normal pay. Unlimited PTO, with management approval. Opportunities for professional development and continued learning. Optional 401K, FSA, and equity incentives available. Mental health benefits are available through Tara Mind. Cost effective GLP-1 solutions available through Crux. We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. Applicant Data Disclosure By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes: Managing and administering your application throughout the hiring process; Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases; Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories. Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com. Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies. For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

🏢 Summary: Lead and scale a security engineering team responsible for end-to-end vulnerability management across the software lifecycle, from source code to production. Drive automation and an AI-first approach to reduce vulnerability risk, improve remediation efficiency, and enhance lifecycle metrics and reporting. Partner cross-functionally to shift security left and ensure compliance with major regulatory frameworks. 🗂️ Requirements: Experience in vulnerability management or cloud security posture management, Experience managing and mentoring security engineering teams, Proven cross-functional collaboration with security, engineering, and product teams, Experience with secure SDLC practices, Proficiency in at least one programming language (Golang, Python, or Java), Experience with compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO), Ability to work on ITAR-controlled projects (U.S. person), Degree in Computer Science, Engineering, or related field (or equivalent experience) 📃 Skills: Golang, Python, Java, AI, Automation, SDLC, Cloud, Security, SOC2, HIPAA, PCI, FedRAMP, ISO, ITAR, Metrics, Compliance 🏢 Description: Here at Datadog, we think about Vulnerability Management a little bit differently. We embrace open source software, and recognize our role in the software supply chain. We also see how attackers are weaponizing vulnerabilities faster than ever before. That’s why we’re looking for a Security Engineering Manager who can help us scale and improve our overall vulnerability management lifecycle, and take an AI-first approach to addressing vulnerability risk. 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, mentor, and grow a team of security engineers responsible for vulnerability management across Datadog’s internal environment, from source code to production. Work with critical partners like SDLC Security, Product Security, and a wide range of engineering teams to “shift left” and reduce upstream vulnerabilities entering our ecosystem. Reduce engineering toil related to vulnerability remediation through a “PRs, not tickets” approach. Improve the efficiency of our overall vulnerability management lifecycle through thoughtful use of automation and AI. Develop metrics and reporting to provide leadership with an accurate view of overall vulnerability risk. Provide evidence and subject matter expertise for vulnerability management processes and controls for multiple compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO) Who You Are: You have experience with vulnerability management or similar domains like cloud security posture management, SDLC management, etc. You have excellent leadership, mentorship, and coaching skills, with the ability to foster a high-performing security team for a large software ecosystem You have strong communication skills, with the ability to convey technical information clearly and effectively to both technical and non-technical stakeholders. You have a proven track record of managing cross-functional collaboration between security, engineering, and product teams. You are experienced in one or more programming languages (Golang, Python, Java, etc.) You are a U.S. person and able to work on ITAR-controlled projects You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience 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. #LI-HybridDatadog 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.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD 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.