• responsible for developing preliminary designs and specifications for engineering and materials, while also preparing project cost estimates • conducting research, feasibility studies, and economic studies to ensure the design is both viable and cost-effective • determining design criteria based on required standards and codes, and validate field work • reviewing and checking engineering projects for accuracy and soundness and managing project execution by guiding vendors and contractors • coordinating project schedules with plant personnel, vendors, and contractors • accountable for coordinating and providing direction to equipment vendors to plan layouts, ensure utility requirements are met, and maintain installation schedules • maintaining comprehensive documentation, including equipment manuals, mechanical and electrical drawings, parts lists, specifications, and vendor/service contact information • conducting engineering planning, design, and operational reviews during pre-project studies to assess feasibility and ensure alignment with project goals • determining the scope of work, preparing requests for proposals, and evaluating the proposals received to select the best approach • submitting detailed reports to management by established deadlines • contract administration, including reviewing bid packages to ensure compliance and completeness • preparing essential project documents, such as justifications, budget analyses, calculations, plans, and schedules

• Lead, coach, and develop a team of approximately 5–6 software engineers and software test engineers. • Foster a culture of trust, collaboration, accountability, and continuous improvement. • Partner with recruiting to attract and hire exceptional engineering talent. • Support career growth through mentorship, feedback, and performance development. • Create the conditions for engineers to do their best work. • Partner closely with Product, Design, and platform engineering teams to turn customer needs into scalable software solutions. • Help build and execute a roadmap that balances customer-facing impact, technical excellence, and long-term platform durability. • Guide your team through planning, execution, and delivery while holding a high bar for quality. • Lead through ambiguity — sequencing the work, derisking it, and adjusting as we learn from real users. • Coordinate across multiple engineering teams contributing to a shared product vision — a meaningful portion of this role is unlocking work that crosses team boundaries. • Communicate priorities, risks, and progress clearly to technical and non-technical stakeholders. • Build the partnerships that drive alignment and execution across the organization. • Provide technical guidance and architectural input while empowering engineers to own implementation details. • Champion modern engineering practices, including CI/CD, cloud-native architectures, observability, automated testing, and scalable system design. • Advocate for highly reliable, maintainable, and secure software. • Promote best practices in usability, accessibility, and front-end architecture as the team builds customer-facing experiences and a design system that scales. • Foster a growth mindset and a culture of continuous learning. • Encourage experimentation, thoughtful problem-solving, and learning from incidents. • Cultivate transparency, ownership, and customer impact across the team. • Support knowledge sharing and technical excellence across teams.

Role Description AlertMedia is looking for a Manager, Software Engineering, to lead our Intelligence Center development team. This role requires a combination of people leadership, technical expertise, and cross-functional execution. The ideal candidate has experience leading engineers across a range of disciplines, can bring clarity to multiple concurrent workstreams, and is comfortable supporting both customer-facing application development and backend/platform systems. Strong technical abilities are vital for success, and you must have a passion for innovative software development with a willingness to roll up your sleeves to collaborate with other Engineering teams and cross-functional stakeholders. Who you are: - You thrive in a collaborative engineering environment that plays to everyone's strengths with a willingness to work across the entire stack. - You have a strong technical background, with hands-on experience in software development and a deep understanding of API integrations and cloud services. - You lead by example in adopting and operationalizing AI tools—both within the product and across the development lifecycle. - Ideally, you have Python and AWS experience, but more importantly, you care about the quality of your work, the impactful product you help build, and the team you help build it with. What you will do: - Oversee the design, development, deployment, and ongoing operation of intelligence-focused products, including the AI/ML models, pipelines, and platform capabilities that power them. - Manage the professional development and technical direction for a team of engineers. - Work closely with cross-functional teams, including product management, customer support, and the operational teams who rely on these products in their daily work. - Engage in active coding and technical problem-solving in Python, Django, Next.js, React, Node, and other web technologies to ensure high-quality integrations. - Drive the proactive adoption of AI tools in both the product and the development lifecycle. - Work in an Agile based environment using tools like Git, JIRA, Jenkins, and Slack. - Use strong verbal and written communication skills in collaboration with other teams across the organization. - Contribute to AlertMedia’s culture, values, and vision for the future. Qualifications - Bachelor’s degree in a technical field such as computer science, computer engineering, or related field preferred. - Experience leading and managing a team of engineers. - 5+ years of experience building scalable applications with modern frameworks, such as React, Django, and Node, including experience with third-party integrations. - Experience with Amazon AWS. - Strong organizational skills and ability to manage working on multiple projects in parallel. - Proficiency leveraging AI tools for product development. - The ability and desire to work in a fast-paced challenging environment. - Strong English language skills and proficiency with both oral and written communication is required. Location This is a remote position based in Mexico. Must have permanent residency in Mexico. Sponsorship AlertMedia does not sponsor. Benefits - Competitive Base Salary - Annual Company Bonus - 100% Employer-Paid Medical, Dental, and Vision Coverage - Parental Leave Program - Christmas Bonus (Aguinaldo) - Generous Vacation and Holiday Policy - Monthly Work-from-Home Stipend - All Necessary Equipment Provided: Laptop, monitor, and accessories - Recognition & Rewards: We celebrate wins big and small - Language Immersion Program with employees spread out across the globe (English, Spanish, etc...depending on your interest) - Continuous Learning & Growth: From mentorship and tech talks to personalized 1:1 career development sessions, we’re deeply committed to investing in your professional journey - Award Winning Culture: We’re passionate about the meaningful work we do—and even more grateful for the incredible people we get to do it with!

Head of Engineering Hybrid Technology Full time Raleigh, North Carolina, United States Description About the Role This is a foundational leadership role. You will own responsibility for the engineering organization — its people, architecture, delivery, and culture — at a moment when the company has the resources to build something durable and the urgency to build it fast. You are not solely a manager; you are an engineering leader. You work with senior engineers to solve complex issues, establish processes that scale, perform thorough code reviews, and make impactful architectural decisions. Additionally, you demonstrate discernment in delegating responsibilities, providing constructive challenges, and knowing when it is appropriate to step back. The mandate is clear: increase the velocity, quality, and security of product delivery — and do it by building a team and engineering culture that does not depend on heroics. Artificial Intelligence, automation, and strategic partnerships are primary levers, not afterthoughts. The buck stops with you. What You Bring Engineering Credibility As an engineer, you lead by example and are expected to demonstrate proficiency in coding, code review, and active participation in architectural decisions alongside the most skilled members of the team. These capabilities are essential, as any shortcomings will be promptly recognized by the team. A Track Record of Measurable Improvement You do not just adopt new technology — you operationalize it and point to outcomes. You have led engineering organizations through meaningful improvement cycles and have specific results to show for it: delivery velocity, quality metrics, security posture, team capability. Pragmatic Judgement You think strategically but you do not over-build. You know the difference between technical debt that needs to be paid now and technical debt that can be managed. You can sleep at night when the balance sheet is not perfect, as long as you know exactly what is on it and have a plan. Experience in Regulated or Complex SaaS Environments You understand what it means to build software where compliance is real and the cost of getting it wrong is significant. Experience in healthtech, insurtech, or Medicare distribution is a meaningful advantage — not required, but it shortens your ramp and signals you understand the stakes. People Leadership in Complex Team Environments You have inherited teams with existing dynamics, informal power structures, and varying levels of capability. You know how to build culture without blowing up the people who built the product. You lead by example, set clear expectations, and follow through. AI Automation Fluency You have a practical point of view on how AI and automation change the engineering function — and you have put that point of view into practice. You are not chasing hype; you are building sustainable capability. Requirements What You Will Own Engineering Execution - Own end‑to‑end engineering delivery across the full product surface — enrollment workflows, the commission engine, AI‑driven compliance scoring, telephony infrastructure, and the underlying platform that ties it all together - Drive sprint execution, release cadence, and delivery predictability without losing the pace a PE‑backed growth company possess - Establish engineering processes that scale without the bureaucracy that kills momentum — lightweight rituals, clear ownership, and fast decision‑making - Transform the Product Development Lifecycle to incorporate agents and autonomous capabilities driving increased innovation - Build a culture where engineers feel real ownership of outcomes, not just tickets. That means clarity of priorities, transparency around tradeoffs, and a bias (not hard line) toward finishing work, not starting more of it - Set expectations for how the team collaborates: thoughtful code reviews, healthy debate, and a shared commitment to raising the bar on quality and reliability - Create an environment where engineering, QA, and product operate as one delivery unit — aligned on goals, honest about risks, and accountable to the same definition of “done.” - Anchor decisions in customer impact. Engineers should understand how their work shows up in an agent’s workflow, a carrier’s integration, or a beneficiary’s enrollment experience — and use that context to guide tradeoffs, simplify complexity, and eliminate friction - Model the behaviors you expect, such as: direct communication, curiosity, urgency without panic, and a willingness to roll up your sleeves when the team needs it Architecture and Technical Direction - Own technical direction and architectural strategy across the platform - Make pragmatic architectural decisions — right-sized to where the company is today, with a clear-eyed view of where it needs to go - Manage technical debt actively and transparently — it does not need to be zero, it needs to be known, tracked, and directionally improving AI, Automation and Velocity - Identify and implement AI and automation capabilities that materially improve engineering velocity, code quality, and security — not as a pilot program but as a core operating practice - Evaluate and leverage technology partnerships that accelerate capability without creating dangerous dependencies - Build a team that treats AI tooling as a standard part of the engineering workflow - Partner across teams to build an AI innovation roadmap that puts customers first, woven into the product naturally — not bolted on Team Leadership - Lead and develop a team of engineers across varying levels of seniority, experience, and working style that does not compromise the culture, but promotes it - Build a collaborative, entrepreneurial engineering culture — one where ownership is shared, standards are high, and people do their best work without burning out - Hire, develop, and when necessary, make hard calls on team composition or individual performance accountability - Create clarity of role and accountability for senior engineers, including those operating in informal leadership positions Platform Reliability and Security - Own the organization's security posture as an AI-augmented engineering practice, embedding automated code analysis, threat detection and policy enforcement directly into the development and deployment lifecycle - Establish a quality culture reinforced by AI and automation, using intelligent test generation, continuous regression detection, and clear quality gates so reliability and coverage are enforced by default, not inspection - Improve platform resilience through AI‑driven observability and disciplined releases, leveraging anomaly detection and automated root‑cause analysis to reduce incidents and eliminate repeat failures - Ensure regulatory and contractual compliance is engineered into the platform, using automated controls, continuous validation, and auditable enforcement for HIPAA‑adjacent data handling and carrier obligations - Translate compliance requirements into executable, AI‑testable engineering standards in partnership with compliance and operations, ensuring consistency and repeatability across teams and releases - Champion a data‑ and AI‑powered feedback loop across engineering, QA, and production, enabling earlier defect detection, automatic regression prevention, and continuous system‑level learning Qualifications - 8-10 years of progressive engineering experience, with at least 3-5 years in a senior engineering leadership role owning a team and a product - Demonstrated ability to expand engineering capacity through a combination of AI‑native development practices and effective use of off/near-shore or distributed teams, increasing output and leverage without sacrificing quality, velocity, or accountability. - Hands-on engineering capability — you have written production code and can still do it when it matters - Experience leading engineering in a SaaS product company; regulated industry experience (healthtech, insurtech, fintech) strongly preferred - Proven track record of improving engineering velocity, quality, and security with specific, measurable outcomes - Experience with cloud-native platforms (GCP preferred), containerized workloads (GKE/Kubernetes), and modern backend architectures - Familiarity with AI/ML integration in production SaaS environments Benefits We believe in taking care of our team, which is why we offer a comprehensive benefits package that supports your health, wellness, and future: - Medical: 4 United Healthcare medical plans (including an HSA option) - Dental: 3 dental plans (Aetna and MetLife) - Vision: 2 Aetna vision plans - Wellness & Mental Health: 5 additional Medical Plus benefits, including telehealth support and an annual Talkspace subscription - Ancillary Coverage: 4 ancillary plans and supplemental life insurance - Retirement: 401(k) with a 4% match (after 90-day exclusionary period)