Position: Partner & Technology Director
Company: Neurons Lab
Experience required: 3y
English level: upper

**Key results**

- Grow NPS /CSI (customer satisfaction metrics)
- Grow Monthly Revenue from AWS from 0 to 100 k

**Challenges & responsibilities**

**Delivery function**

- woking closely with AI/ML Director on AI/ML delivery methodologies, processes, artifacts (git, wiki, etc.)
- shared accountability with Managing Directors for value creation (day to day activities) in the Delivery department (till 25-30 engineers, after that we will attract Head of Delivery, timing - approx. Q1 2022)
- shared with Managing Directors accountability for project metrics (margin, deadline, scope)
- envision, develop and maintain architectures of ML-based solutions
- capabilities management for delivery managers and engineering team (capabilities growth, promotions, hiring, firing)
- help Delivery Managers to plan ~~resources~~ team members schedule, allocation for the projects
- working closely with hiring team on team sizing
- risk management
- keeping relationship and reports to other partners

**Revenue function**

- establishing relationships with AWS and developing new sales channel with them
- participating in negotiations with clients and closing deals
- helping Managing Directors with SoW creation (solutions architectures, roadmaps, scope, budget, timing)
- contracts analysis

**Behavioural characteristics**

- owner mindset (problem solver, locus of control)
- partnership mindset
- aspiring
- ability to learn
- focused on result and problem solving
- opened to feedback
- entrepreneurial mindset
- systematic thinking
- great communicator

**Skills**

- operations and ML project management
- big data analysis and machine learning
- software, data and cloud engineering
- negotiation
- advanced English
- presentation and documentation development
- coaching

**Knowledge**

- projects management methodologies (ML, software)
- software architectures design (cloud, on-premise)
- life cycle of ML product development and related artifacts (preferred)
- how to scale delivery department from 10 to 50
- machine learning knowledge

**Experience**

- CTO, Head of Engineering, Head of Data Science (>1 year)
- experience in consulting business (>4 years)
- leading teams more than 20 people (>2 years)
- machine learning / data science / data analytics delivery experience (>2 years)
- software engineering experience (>3 years)
- building machine learning solutions architectures (>2 years)