Head of Software Engineering - #1677511

As Head of Software Engineering, you will be responsible for shaping and executing our technical strategy, leading a high-performing engineering team, and driving product development across software engineering, data engineering, and AI. This role is critical to ensuring that RegNav AI builds scalable, secure, and intelligent solutions that power the next generation of regulatory navigation.

Responsibilities:

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  Owning the tech stack and architecture – Design and implement a scalable, AI-powered SaaS platform


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  Leading AI & Data Science integration- Work with ML engineers and Applied AI engineers to build intelligent automation, predictive models, and NLP-driven insights


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  Leading and growing the engineering team - Direct and mentor a multi-disciplinary team, driving a high-performance culture


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  Driving architectural decisions - To ensure scalability, security, and performance


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  Defining systems and processes - To successfully execute the product roadmap


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  Establishing best practices - for software development, data infrastructure, and AI/ML implementation


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  Overseeing operational aspects of software development process - to ensure effective workflows across developers


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  Moving fast and shipping high quality code – Balance speed and quality in an agile, early-stage environment


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  Managing and conducting code reviews - to maintain high code quality, implement and enforce testing best practices for the software


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  Ensuring high-quality software - through modern DevOps, CI/CD, and testing practices


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  Collaborating with leadership and team – work closely with product, design and compliance experts to build AI driven decision support for complex regulations


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  Being hands on – Guide system architecture. AI Model deployment, and data pipelines in addition to demonstrating strong coding skills


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  Staying ahead of emerging technologies - in AI, data engineering, and software development

Qualifications

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  Startup mindset – Comfortable in ambiguity, resourceful, and execution-driven.


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  B2B Saas & AI experience - Proven track record in building AI powered B2B SaaS products from Seed to Series A+


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  Deep technical leadership - Expertise in ML, NLP, Data Engineering, cloud computing, and scalable architectures


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  Ownership mentality – You think like a founder and care about outcomes, not just code


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  Strong expertise - in software development, data engineering, and AI/ML


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  Experience building scalable cloud-based platforms (AWS, Azure, or GCP)


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  Proficiency in Python, JavaScript/TypeScript, or similar languages


• Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and data technologies (SQL, NoSQL, Spark)

Company Background

Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access.

While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development.

Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization.

Diversity Statement

At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming “the world’s most trusted testing partner”.

All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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