AWS Solutions Architect

Description

As an AWS solutions architect, you will lead the definition and implementation of an elastic architecture that supports our phone tree discovery and calling services, assuring excellent user experience to consumers and corporate administrators.

Requirements

You should be able to identify and gather requirements in order to define a solution to be built on AWS, evolve systems by introducing new services and features, assess the tradeoffs and implications of architectural decisions and choices for applications deployed in AWS. You should be able to design an optimal system by meeting project requirements while maximizing characteristics such as scalability, security, reliability, durability, and cost effectiveness. You should also be able to provide best practice and architectural guidance over the lifecycle of projects.

Qualifications

AWS Certified solution architect or similar.
Deep an broad AWS and IT knowledge including AWS core compute, networking and storage services, content distribution (CloudFront). CICD,  application deployment, management, and security. Able to design and implement for Elasticity and scalability, experience with containers and ECS. DNS, and load balancing, virtual private cloud (VPC). Database and replication methodologies, high availability, fault tolerance, self-healing, and disaster recovery based on time to recover and a recovery point in time.
General IT Knowledge including large-scale distributed systems architecture, eventual consistency, relational and non-relational databases. DBA experience is a plus. Multi-tenancy and RBAC. Multi-tier architectures: load balancers, caching, web servers, application servers, networking and databases, loose coupling and stateless systems, system performance tuning. Strong familiarity with networking is a plus including routing tables, access control lists, firewalls, NAT, HTTP, DNS, TCP/IP. RESTful Web Services, XML, JSON.
Information and application security concepts including public key encryption, remote access, access credentials, and certificate-based authentication.
10 years of extensive IT and SaaS design and deployment experience.
Bachelor’s degree in Computer Science, Computer/Electrical Engineering or similar. Master’s degree is a plus.

MBA Interns

Description

As an MBA intern, you should be able to identify big customer problems, defining key hypotheses about business models to solve these problems, applying tried and tested business analysis approaches, combined with thinking outside the box to adapt to unchartered business prospect territory. You should be able to pivot and iterate based on the evidence you gather. You will work the out team to adapt minimal viable implementations and go outside the building to meet face-to-face with customers, seeking to fail often and early, pivoting and iterating based on collective feedback until hypotheses have been validated or disproven. You will also need to determine the growth mechanisms and market communications infrastructure required to push the selected solutions to the market.

If you love making a difference, playing a crucial role in the creation of disruptive products then this is a great opportunity for you.

Qualifications

A bachelor’s degree in marketing, market research, business administration or communications. MBA program preferred. Past work experience in relevant industry segments (enterprise SaaS, mobile consumer, call center, CRM, collaboration, analytics) is a plus.

Requirements

At least ten hours a week

 

Machine Learning & NLP Expert

We are looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build our industry-leading voice and text interpretation services which revolutionize the way consumers interact with customer service. Our mission is to provide a delightful experience to consumers of all companies across all industries by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding/Processing (NLU/P), and Machine Learning (ML).

BASIC QUALIFICATIONS: Graduate degree (MS or Ph.D.) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in speech recognition, natural language processing, machine translation, or machine learning. Familiarity with programming languages such as C/C++, Python, Java or Perl. Experience in building speech recognition, machine translation, and natural language processing systems.

PREFERRED QUALIFICATIONS: Solid Machine Learning background and familiar with standard speech and machine learning techniques. Thought leadership and contributions that have advanced the field. Solid software development experience.

 

Cloud Architect

We are looking for an accomplished practitioner with Google Cloud Platform who has vast design experience of SaaS architectures for massively scalable consumer services. In this position, you will have the opportunity to design and implement a telco scale solution practically from the ground up. You will be responsible for the overall design of our service platform and its implementation on GCP in a manner which automatically scales to satisfy millions of parallel service demands. The design should meet mission critical uptime and sub-second runtime response time for core customer facing services. Corporate/premier level services should assure data segregation while allowing cross tenant analytics based on granular access rights. You will be the lead architect and will work with engineers to implement the solutions based on your specifications.

We prefer people with a BS degree or higher in Computer Science, Electrical Engineering or equivalent field. You should be proficient with a high-level programming language e.g. Java, Python, C++. We also would like you to have at least eight years of hands on experience in as many of the following: datacenter and network design, database architectures, high performance software architectures, business continuity, storage and IT security, virtualization and containerization, infrastructure orchestration and working with big data to build control systems and business intelligence solutions. Certifications from leading vendors or institutions in these fields are a plus. You must be proficient with GCP’s solution components for compute, storage, networking, security, and data processing. Previous experience with GCP’s machine learning components is a big plus.

Marketing Strategist

We are looking for marketing generalists who are self-starters with a broad set of marketing skills. You will work in a start-up environment where responsibilities are taken rather than given.

The Marketing Strategist is tasked with strategic plan development including conducting market research (interviews with prospects, analysts, reviewing available research), identifying, validating market opportunities and quantifying the value of market opportunities. Making marketing recommendations and creating media plans. Developing account opportunities. client communication, account management, vendor communication, and developing account opportunities.

Responsibilities

Ability to define and validate ‘high expectation customers’, who care the most about our products, what they need and what they are willing to pay for it.

Interviewing potential customers, partners and investors for customer validation

Develop company social media messaging plans with clear metrics and tracking means

Design and implement marketing strategies aligned with business targets

Define and design a scalable business model

Telling the story, networking and pitching investors, call centers, and industry partners

Generate innovative ideas to promote our brand and our products

Requirements

BSc degree in Marketing or relevant field, MSc, MBA preferred

Know how to research segment markets – consumer and corporate (SMB, enterprise)

A strong familiarity with social media ecosystems and how to use them – social networks, news aggregators, thought leaders, virtual communities, Facebook, Twitter, Instagram, YouTube.

Why are we here

Consumers are frustrated with customer service. Companies are augmenting traditional phone-based services with digital channels, web, mobile apps, chat, bots, messaging, and social media. However, these new solutions are built in silos. VisuMenu empowers consumers to reach across customer service barriers. At Visumenu we’re creating a new way for connecting any smartphone user to any company and service by digitizing interactive voice systems and integrating with company websites, chat apps, and social media. We transform the smartphone into a visual menu system. This makes the phone a frictionless point for user interactions with all features of customer service platforms.