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ABOUT

info@graphene-team.io

SJ Infinite One Business Complex, Suite 1902
349 Viphavadi-Rangsit Road Bangkok 10900, Thailand

We are building our team.

Come join us!

Submit your resume and state a few reasons why we should look at it here: info@graphene-team.io

JOIN US

HARNESS THE POWER OF TEAMS

HOW GRAPHENE SUPPORTS COLLABORATION

01

UNDERSTANDING THE ORGANISATION AS A COLLABORATION NETWORK

insights on how well different parts collaborate and mapping how internal knowledge travels

02

ENHANCE TEAM EFFECTIVENESS THROUGH ONGOING MONITORING AND FEEDBACK

teams are monitored and leaders receive ongoing feedback to optimise internal effectiveness

 
 

HOW GRAPHENE SUPPORTS COLLABORATION

01

UNDERSTANDING THE ORGANISATION AS A COLLABORATION NETWORK

insights on how well different parts collaborate and mapping how internal knowledge travels

02

ENHANCE TEAM EFFECTIVENESS THROUGH ONGOING MONITORING AND FEEDBACK

teams are monitored and leaders receive ongoing feedback to optimise internal effectiveness

03

MAKING INDIVIDUAL KNOWLEDGE ACCESSIBLE AS A COLLECTIVE RESOURCE

multi-platform search engine for internal knowledge and expertise helps overcome information silos

MEET GRAPHENE

Automatic tagging

Using intelligent semantic processing, Graphene tags teams and
members with specific expertise, innovations or knowledge they
have gained
No more need to maintain cumbersome knowledge libraries or
update personal profiles.

Find out who has the answers

Simply write what you are looking for in the messaging
application, and see which teams might have what you need

Click on the name of a member, and directly communicate with them

Be recognised and rewarded as a resource

Making your team's knowledge accessible and available to
other is valuable to your 
organisation

Graphene let's people see how much your contributions mean to others with 'expert' designations

OUR

PARTNERS

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Persistent Systems (BSE & NSE: PERSISTENT) builds software that drives the business of their customers; serving software product companies and enterprises with software at the core of their digital transformation, with global delivery capabilities and over 9,000 employees

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K2 Venture Capital is a future-focused fund

They are not just an investment firm; they are also a venture builder. Their aim is to identify the most promising ideas with the greatest positive societal impact, to provide the means to make them a reality

 

They invest more than money in their partners; they apply their human capital and physical infrastructure, their customer relationships and their clients' network to create successful companies of tomorrow

 

SIGN UP

 
 

Careers

JOIN US IN BUILDING AN INNOVATIVE PEOPLE-CENTRIC KNOWLEDGE SEARCH ENGINE AND COLLABORATION ANALYTICS PLATFORM, TO HELP ENTERPRISES OVERCOME INTERNAL KNOWLEDGE SILOS
JOIN US IN BUILDING AN INNOVATIVE PEOPLE-CENTRIC KNOWLEDGE SEARCH ENGINE AND COLLABORATION ANALYTICS PLATFORM, TO HELP ENTERPRISES OVERCOME INTERNAL KNOWLEDGE SILOS
NLP PRODUCT LEAD
What the role includes
 
This is an end to end product leadership and ownership role which includes product discovery and strategy work. This includes Agile delivery, producing and prioritising user stories, acceptance criteria, and sprint planning. This is a critical leadership role, which includes:
 
  • Defining the vision, requirements and specifications, development and launch plans for the product
  • Taking a strategic and holistic view of addressing customer needs and framing the technology tradeoffs
  • Being a strong customer advocate internally and number one product evangeliser externally
  • Building a great tech team and recruiting the best talent
 
What we are looking for
 
This product applies NLP deep learning networks and techniques, so a strong understanding of NLP is necessary
 
  • 5+ years of experience in product management, and have launched a Version 1 product
  • Educational background and/or experience in NLP, machine learning, neural network models or data science
  • Credibility to engage in product discussions with customers, partners and investors
  • Experience building a strong technology team
  • Solid grounding in Agile methodologies
MACHINE LEARNING DATA SCIENTIST
What the role includes
 
We are looking for an ML data scientist with an NLP focus or specialisation to help rapidly prototype and bring into production the scaleable core knowledge extraction engine. Applications of NLP within the scope of the product include topic modeling, feature engineering and sentiment analysis to extract valuable, but not previously organised information from multiple unstructured text sources. The responsibilities include continuous tuning and improvement of the knowledge extraction and search features.
 
The position also requires excellent communications skills, and be articulate technically with customers and partners at the appropriate level
 
What we are looking for
 
  • Degree in Computer Science, Math or similar, plus strong programming background
  • 3+ years of professional experience with core skill sets in natural language processing
  • Experience with text classification algorithms like SVM, LDA, CRF etc
  • Experience with open source NLP libraries (SpaCy, Gensim, NTLK, FastText) and deep learning frameworks (Tensorflow, Keras) 
  • Familiarity with deep learning networks: RNN, LSTM/GRU, CNN etc 
  • Strong programming experience building end to end applications in Python 
  • Knowledge of graph databases (neo4j, Arango DB, Orient DB) is a plus
  • Exposure to Big Data and Hadoop is a plus