# Engineering Manager [Enhesa](https://gurify.com/jobs?q=Enhesa) · Lisbon, Portugal · Posted yesterday [Engineering Manager](https://gurify.com/jobs/engineering-manager) [Apply on the original posting → (opens in a new tab)](https://job-boards.greenhouse.io/enhesa/jobs/4438939009) ## Job description ### Who we are Enhesa is the global compliance partner to the world’s largest businesses, bringing clarity to a regulatory and sustainability landscape that never stops changing. Our mission is to help organizations make informed decisions they can defend, wherever they operate, combining deep human expertise with AI efficiency, to confidently act across EHS, product, chemical, and corporate sustainability compliance. Businesses come to us needing help understanding what regulators expect. We’ve built our services around solving that problem and work with more than half of the fortune 500, as a trusted provider of intelligence. At Enhesa, our teams are guided by purpose, passion, inclusivity, and driving progress. We are united by a belief that positive change is everyone’s responsibility. If these qualities sound like you, Enhesa could be your next career move! ### What we offer - A competitive salary package - Flexible home-working policy and work/life balance - A collaborative fast paced, driven environment - Accountability and pride for your projects ### For more information visit: www.enhesa.com ### Overview of the position As an Engineering Manager at Enhesa, you will lead a team of talented Engineers building modern applications that deliver value with quality to our global customer base, which includes many Fortune 500 companies. You will be the first line of technical challenge for your team: questioning design and technology choices, keeping solutions as simple as the problem allows, and ensuring the team delivers with quality. You will lead how your team uses AI across the software development lifecycle, continuously improving how engineers work with tools like Claude Code. You will play an important role in shaping our technology and helping accelerate our progress towards SaaS excellence. At Enhesa, we prioritize our people, trusting them to deliver and investing in their growth. You will help reinforce this culture by actively coaching your team and supporting their development. ### Core responsibilities - Coach and mentor individuals to grow. Dedicate time to regular one-to-one interactions, support individuals in selecting relevant training, set clear objectives, and provide regular feedback. - Lead hiring and onboarding for the team, collaborating with HR to ensure technical and cultural fit. - Manage stakeholder expectations by clearly communicating team capacity, identifying and communicating risks, and updating on team progress and needs. - Collaborate with technical experts and Product Management to plan and prioritize enhancements in line with business needs. - Lead planning, estimation, and prioritization of technical work, keeping plans up to date and meeting delivery objectives. - Advocate for an adequate portion of capacity to be allocated to technical initiatives, ensuring technical strategy is aligned with business goals. - Translate and communicate technical concepts and solutions to different stakeholders, both technical and non-technical. - Review designs and technical proposals and challenge technology and architecture choices where appropriate. Ensure solutions align with Enhesa's architectural patterns, and escalate to Architecture where direction is unclear. - Organize and facilitate team ceremonies as Scrum Master, including daily standups, retrospectives, refinements, and planning. - Foster a culture of continuous improvement in the team by prioritizing retrospection and following up on improvement actions. - Resolve impediments and blockers for the team. - Execute on the Engineering Strategy and other cross-team initiatives. - Prioritize delivering with quality, promoting practices such as shift-test-left, TDD, test automation, and root cause analysis. - Manage incidents according to the Incident Management policy, along with technical risks within the team. - Own how the team uses AI across the SDLC, from refinement and design through coding, code review, testing, and incident response. Understand how engineers are actually using AI tools, identify where AI is creating risk or friction (review load, test quality, security, over-reliance, inconsistent practices), and lead continuous improvement of the team's AI-assisted workflow. - Measure the impact of AI adoption on delivery and quality (e.g., DORA metrics, rework, defect rates) and share effective practices across teams. ### Education Level Bachelor's degree (or equivalent) in Engineering, Computer Science, or a related field. ### Experience 6+ years in software development, including at least 4 years hands-on and experience in a senior or lead role reviewing technical designs. ### Required Skills - Demonstrated ability to evaluate technical designs and trade-offs without implementing them yourself: synchronous vs. asynchronous processing, service boundaries, data consistency, failure modes, and operational cost in cloud-based SaaS systems. This role does not require hands-on coding; it does require sound technical judgment. - Ability to lead large initiatives spanning multiple teams with high complexity. - Strong knowledge of engineering principles and practices. - Proficiency in Agile methodologies, particularly Scrum. - Experience with software development lifecycle and project management. - Current, hands-on use of AI-assisted development tools (e.g., Claude Code) in your own work, and a clear point of view on how AI changes the software development lifecycle: where it helps, where it introduces risk, and how to measure the difference. - Excellent communication and leadership skills. - High levels of professionalism, interpersonal skills, and personal drive. - Team player: ability to work on a team in a collaborative environment, sharing information and best practices. - Fluent in English. Other languages are an asset. - Experience working with SaaS products. If you are ready to join our journey, please apply! Equal Opportunity Employer Enhesa is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic. **Live in Enhesa’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. 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We\u2019ve built our services around solving that problem and work with more than half of the fortune 500, as a trusted provider of intelligence.\u003C/p\u003E\u003Cp\u003EAt Enhesa, our teams are guided by purpose, passion, inclusivity, and driving progress. 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You will be the first line of technical challenge for your team: questioning design and technology choices, keeping solutions as simple as the problem allows, and ensuring the team delivers with quality. You will lead how your team uses AI across the software development lifecycle, continuously improving how engineers work with tools like Claude Code. You will play an important role in shaping our technology and helping accelerate our progress towards SaaS excellence. At Enhesa, we prioritize our people, trusting them to deliver and investing in their growth. You will help reinforce this culture by actively coaching your team and supporting their development.\u003C/p\u003E\u003Ch3\u003ECore responsibilities\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003ECoach and mentor\u202Findividuals to grow. Dedicate time to regular one-to-one interactions, support individuals in selecting relevant training, set clear objectives, and provide regular feedback.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELead hiring and onboarding for the team, collaborating with HR to ensure technical and cultural fit.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EManage stakeholder expectations by clearly communicating team capacity, identifying and communicating risks, and updating on team progress and needs.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECollaborate\u202Fwith technical experts and Product Management to plan and prioritize enhancements in line with business needs.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELead planning, estimation, and prioritization of technical work, keeping plans up to date and meeting delivery objectives.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAdvocate for an adequate portion of capacity to be allocated to technical initiatives, ensuring technical strategy is aligned with business goals.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ETranslate and communicate technical concepts and solutions to different stakeholders, both technical and non-technical.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EReview designs and technical proposals and challenge technology and architecture choices where appropriate. 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Understand how engineers are actually using AI tools, identify where AI is creating risk or friction (review load, test quality, security, over-reliance, inconsistent practices), and lead continuous improvement of the team\u0026#39;s AI-assisted workflow.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EMeasure the impact of AI adoption on delivery and quality (e.g., DORA metrics, rework, defect rates) and share effective practices across teams.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EEducation Level\u003C/h3\u003E\u003Cp\u003EBachelor\u0026#39;s degree (or equivalent) in Engineering, Computer Science, or a related field.\u003C/p\u003E\u003Ch3\u003EExperience\u003C/h3\u003E\u003Cp\u003E6\u002B years in software development, including at least 4 years hands-on and experience in a senior or lead role reviewing technical designs.\u003C/p\u003E\u003Ch3\u003ERequired Skills\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EDemonstrated ability to evaluate technical designs and trade-offs without implementing them yourself: synchronous vs. asynchronous processing, service boundaries, data consistency, failure modes, and operational cost in cloud-based SaaS systems. 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