Engineering Manager
Engineering Manager The Vic.ai platform is reshaping how the world does B2B transactions: tracking business data used to be manual, now it's autonomous; reasoning about business data used to be report-oriented and simplistic, now it's real-time and statistically sophisticated. How do we do it? Leading-edge AI, highly-crafted UIs, and deep product thinking tying it all together. We're a Series B funded company, and are fortunate to have some renowned investors and partners: Costanoa Ventures, Cowboy Ventures, GGV Capital, and ICONIQ Capital. This role will be based in Oslo, Norway; we are a 100% remote company. Fluency in Norwegian and English is required. Our company is rethinking how B2B transactions and financial intelligence works....a mind-meltingly large market. We're a talented, hard-driving team led by experienced entrepreneurs. If you’re an enthusiastic, detail-oriented, curious disruptor, come build with us, you’ll fit right in. Traits Technologists: Strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions - appreciates have a DevOps mindset Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff Partnership Attitude: Have the competencies to build very strong partnerships with other technology leaders that enable your team’s ability to stay on the leading edge of industry solutions Curious: Active, engaging and collaborative style of working Passionate: Bring energy and enthusiasm to the job and organization Bold: History of taking smart, calculated risks and aggressively leading through change Achievers: Consistently attain/exceed individual and team goals You will: Lead, manage, and grow multiple teams of product focused software & data engineers Embrace and incubate emerging technology and open source products across all platforms Work to modernize our existing tech stacks and data platforms Collaborate with internal teams to find areas of opportunities for automation and machine learning Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications Work within and across Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies. Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications. Conduct design and code review to ensure compliance with standards Basic Qualifications: Bachelor’s Degree At least 10 years experience in data engineering At least 8 years of experience managing software or data engineering teams At least 4 years of experience with Big Data and data processing At least 4 years of experience with cloud based data platforms Preferred Qualifications: Master’s Degree 15+ years of experience in data engineering 10+ years of experience managing software and data engineering teams 4+ years of experience with AWS What we offer.... An exciting work environment operating at the forefront of AI technology development Competitive salary A team-focused culture. The team builds the product, the business builds the team. We focus on our people. Generous maternity and paternity leave Generous vacation time, family- and travel-friendly environment Virtual team building events & awesome swag Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment The opportunity to work remotely, including workstation setup