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.