What are the responsibilities and job description for the Engineering Manager position at Vic.ai?
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