Andium helps Oil & Gas companies reshape the future while working toward Net-Zero emission goals by building technology that enables them to achieve their environmental, social, and governance (ESG) objectives through transformative innovation. The company is looking for an Engineering Manager to lead software engineering teams to deliver reliable, scalable software and foster a healthy, inclusive, and high-performing culture.
Requirements
- Strong understanding of cloud-native architectures, CI/CD pipelines, and modern web service design.
- Hands-on technical background in one or more of: Python, Node.js, TypeScript, or similar.
Responsibilities
- Manage day-to-day operations of one or more software engineering teams, ensuring timely, high-quality delivery.
- Drive agile processes—including retrospectives and sprint planning—to maintain team velocity and focus.
- Establish clear goals, KPIs, and development metrics to measure progress and team impact.
- Partner with Customer Success and Support to triage and prioritize production issues and client feedback.
- Collaborate with senior engineering leadership on architectural decisions and long-term technical strategy.
- Maintain high standards of code quality, scalability, and performance, and participate in technical reviews where appropriate.
- Contribute to hiring efforts and help onboard new team members effectively.
Other
- 5+ years of experience actively managing software engineering teams.
- Led multiple engineering teams with proven success in delivery and execution.
- Proven track record of leading teams in SaaS startup environments, from early-stage growth through scaling.
- Experience driving cross-functional collaboration between Product, Design, QA, and DevOps.
- History of delivering features that drive measurable business outcomes (e.g., user retention, performance improvements, reliability).
- Experience working in VC-funded or growth-stage startups.
- Background in enterprise SaaS or B2B platforms.
- Experience building and mentoring remote or hybrid teams.
- Familiarity with data-driven decision-making, analytics tooling, or AI/ML-enabled SaaS products.
