Careers

Chief Marketing Officer (CMO)

Hiring Manager: José María Lianes, COO
jose.maria.lianes@datavision.io

Datavision is looking for a CMO for a new B2B Deep Tech venture in the AI-Ops space.

Datavision is a software manufacturer that builds disruptive technology.

We are looking for an experienced Marketing profesional, to oversee all marketing operations and develop its marketing strategy and vision.

Together with the Management Team, the CMO will successfully design, develop and implement strategies from the very early stage phase of the company throughout the entire growth phase.

Key Responsibilities

As a CMO you will be responsible for:

• Develop annual product marketing plan in collaboration with field marketing.

• Create go-to-market programs, working with field marketing and subject matter experts.

• Lead product launch and release activities.

• Create and maintain a library of sales tools, such as customer presentations and competitive materials.

• Contribute to key customer events, including Commercial & Medical Summit, Europe, and other major industry events.

• Developing different strategies to communicate company’s main message and generate initial demand by testing different channels

• Working together with the rest of the management team in prioritising and planning marketing campaigns and other growth initiatives end-to-end: design experiments, develop campaign strategy, and drive execution of the campaign through to completion, grow new leads, including marketing-qualified leads by converting traffic through calls-to-action, landing pages, and lead generation content (including tactical offerings)

• Conceiving and implementing budget spend of marketing services to maximise ROI in agreement with the businesses.

• Monitor, analyse and report KPIs, continuously testing and optimizing channels, audiences and copy to maximize immediate and long-term ROI.

• Owning efforts of increasing website traffic, generating qualified leads, and nurturing those leads down the buyer journey.

• Developing, championing and instilling a rigorous, analytical and data-driven approach to all marketing activities, and ensure that the marketing mix is optimised at all times, across channels (both on- and offline) and regions, under smart and healthy growth methodologies.

• Positioning the products clearly and effectively in the minds of the target audience and engaging with that audience in order to generate increased revenue.

• Develop product positioning and messaging that differentiates our products in the market.

• Plan the launch of new products and releases and manage the cross-functional implementation of the plan

• Be the expert on your buyers, how they buy and their buying criteria;

• Be the expert on your competition and how to crush them.

Organization

Reports to the COO of the Company.

Manages a budget to subcontract the creation of all the marketing collateral, web and PR activities.

Will be able to hire a trainee.

Requirements

+8 years of experience in the Enterprise software industry, having previously held a managing position

+5 years, demonstrated experience in managing successful cross-channel digital marketing programs

Tech-savvy and comfortable with a hands-on approach with relevant software tools as part of your day-to-day workflow

An entrepreneurial mindset with outstanding organizational and leadership skills.

Able to work independently with little management oversight.

Analytical abilities and problem-solving skills

Exceptional written and oral communication skills with a demonstrated ability to develop clear, concise, compelling messaging.

Strong project management skills with exceptional attention to detail.

Previous experience in APM, Log Analytics or Infrastructure Monitoring is a plus

Passion for the digital sector

Compensation

Base salary + variable competitive bonus scheme will also be in place.

Location

Preferably: Barcelona, Spain

MACHINE LEARNING ENGINEER

Hiring Manager: Miquel Collado, CSO
miquel.collado@datavision.io

We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Key Responsibilities

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Managing available resources such as hardware, data, and personnel so that deadlines are met
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelines
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production

Organization

Reports to the CSO of the Company.

Requirements

  • 3+ years of Enterprise SW experience.
  • Experience in deep learning, language models, representation learning
  • Proficiency with Python, Scala/PySpark, or C++, familiar with deep learning tools like TensorFlow or PyTorch
  • 3+ years of experience as a Data Analyst
  • Demonstrable experience in developing data collection, processing, and enrichment applications
  • Proficient in SQL, experience with big data tools such as BigQuery, Spark, Snowflake, Presto and alike is an advantage.
  • Knowledge of Python and Jupyter or similar tools to present data analysis and methodology.
  • Experience with a visualization framework.

  • Nice-to-have:

    • Experience with product analysis
    • Familiarity with AI Ops platforms

Bachelor’s in Computer Engineering, Mathematics.
Excellent people and management skills to interact with staff, colleagues and cross-functional teams, and third parties.

Compensation

Base salary + variable competitive bonus scheme will also be in place.

Competitive salary.

Incentive compensation plan.

Performance reviews twice a year.

Work-life balance and flexible schedule.

Professional Development classes

Location

Preferably: Barcelona, Spain