Digital Marketing Manager

Here's a Bit More About What We're Looking For

Job responsibilities include, but are not limited to:

● Building GTM Strategy. You’ll own our growth strategies and identify the key channels in which we can invest in and scale our customer acquisition efforts. You’ll be a thought leader who is excited to take a scrappy approach, brainstorm and launch new experiments, A/B test,

and double down upon early signs of success.

● Relentlessly optimizing.. You’ll combine quantitative and qualitative insights to identify opportunities, improve conversion rates, and reduce costs.

● Scale a world class team. We’re looking for someone who can build the playbook that the team will operate against as it grows. You’ll be empowered to recruit and get the most out of a high-performing, efficient team.

● Execute a broad mandate. You’ll roll up your sleeves and get done what is necessary to remove blockers to our company’s growth, recognizing that this will change and develop as the business matures. You aren’t afraid to dive in and help us solve other business problems as needed.

● Own growth, content and digital marketing completely: experience in PR/ Comms not needed.

● Highly quantitative approach to growth and marketing. Experience with A/B experiments, growth hacks and other tools.

https://www.oziva.in/">OZiva is India's leading clean, plant based nutrition brand, combining modern science and ancient Ayurveda. We aim towards driving the paradigm shift from curative health care to preventive healthcare by focusing on the two fundamental pillars of fitness - nutrition and exercise.

OZiva is a startup founded by IIT, INSEAD and Mumbai University alumni with an existing vision to help people lead a healthier and better lifestyle.

We run a powerful, high impact, fast paced operation with cutting edge technology and good old-fashioned passion for making people healthier and fitter.

• Work with product managers to understand product requirements and make them live.
• Ownership of end to end development

• Startup mindset of getting things done and focussing on business goals
• Proven problem solving skills
• 3+ years Hands on experience in designing and developing applications using server side technology (Java, Spring Boot / Node.js, Express)
• Excellent knowledge of Relational Databases, SQL and ORM technologies
• Good knowledge of design patterns
• Proficiency in REST architecture
• Experience with test-driven development
• Experience with Git/CI/CD/Gradle/Maven
• Inclination towards writing quality and performant code

• Experience in Agile development
• Performance tuning, testing, refactoring and automation
• Experience working with AWS Cloud and Devops technologies (terraform , cloudformation, ansible)
• Experience running a production environment

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.