Exectuive Assistant

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory Experience (6): Prior experience working in the Rewards, Loyalty, or Incentives space.

Mandatory (Company): B2B SaaS Product companies

Language Requirement: Tamil language proficiency is mandatory.

Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions accordingly.

• Candidates from D2C, Ecommerce or FMCG industry are only applicable.
• Candidate must have proven expertise in Meta Ads and Google Ads.
• Candidate should have strong understanding of Digital Marketing funnels, paid media KPIs, etc.
• Candidate should be proficient in using tools like Shopify, Gsheets, MS Excel and GA4, etc.
• Candidate should have experience in A/B testing, audience targeting, creatives, and bidding strategy optimization.

1. Strong experience in Azure – mainly Azure ML Studio, AKS, Blob Storage, ADF, ADO Pipelines.
2. Ability and experience to register and deploy ML/AI/GenAI models via Azure ML Studio.
3. Working knowledge of deploying models in AKS clusters.
4. Design and implement data processing, training, inference, and monitoring pipelines using Azure ML.
5. Excellent Python skills – environment setup and dependency management, coding as per best practices, and knowledge of automatic code review tools like linting and Black.
6. Experience with MLflow for model experiments, logging artifacts and models, and monitoring.
7. Experience in orchestrating machine learning pipelines using MLOps best practices.
8. Experience in DevOps with CI/CD knowledge (Git in Azure DevOps).
9. Experience in model monitoring (drift detection and performance monitoring).
10. Fundamentals of data engineering.
11. Docker-based deployment is good to have.

Behavior Labs team:

The Behavior Labs team sits at the centre of the company and curates the Mia coach, that produces the content and insights to bring about behavior change. It pushes out to enterprise users, insights about expected performance behavior during a business period. It enables enterprises to influence the behaviors of sales personnel from encouraging early starts to push for lightning finishes. It guides enterprises on how to monitor and manage the behavioural journey that would lead to positive outcomes. Thousands of sales and customer service personnel across the globe are influenced and nudged towards behavior change that results in better performance outcomes.

The behavior lab has two key tasks – use the latest thinking in the space of BE and employee performance to enable specific user groups performance and developing a holistic understanding of the user and mining those insights to consistently fine tune the product. This team contributes towards the development of the digital design interface through which users view the nudge. The team also prepares behavioral analytics decks for clients on a regular basis.

We are looking for a new age candidate for the position of a Behavioral Researcher to work in an environment that is in the frontier of using human behavioural understanding and technology to influence behavior change amongst enterprise workers.

Key responsibilities will include:

• Generating insights about behavior from a range of data sources; developing testable propositions
• Conducting original research (e.g. small-scale experiments; feasibility studies to test interventions, qualitative research); analysing quantitative and qualitative data. Understand the trade-offs between different research methods (i.e. quant vs qual, survey vs experiment, A/B tests etc.).
• Action the use of behavioral science concepts into the development of the nudge engine. Keep a continuous watch on new developments in the BE field to adopt and apply into product design.
• Use behavioural science to create contextual information, communication ideas that can influence action amongst user groups and drive them towards a behavioural journey.
• Be intellectually curious and open to innovation but maintain objectivity to ensure that the focus remains on the scientific foundation in which the product is built.
• Good communication and influencing skills, both verbal and written, for a product development & customer facing audience. Specifically, the ability to communicate to these audiences in industry language.
• This role requires a person with curiosity and a passion for inquiry, comfort with ambiguity, and an entrepreneurial/learning mindset. Self-motivated and flexible, this person will be adept at both creative and analytical thinking.
• This is a highly collaborative role which requires the ability to work across the organisation’s product & design teams to develop appropriate ways to bridge the intention – action gap amongst users.

Roles & Responsibilities:

• Build and technically lead Android apps in terms of scale, performance, security, and design
• Actively participate in feature design
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Take ownership of the features right from estimating timelines to Production release
• Carry out code reviews and mentor junior engineers
• Instill best practices from following MVP/MVVM patterns to using required Java design patterns within the application
• Understand the latest Android features and practices and lead the efforts towards its adoption within the team and across all mobile pods
• Follow SOPs of Agile methodologies & Sprint deliverables and drive the same within the team

Requisites / Prerequisites:

• Android Work Experience of between 3 to 5 years.
• BE/B.Tech from Tier 1 or Tier 2 institutions
• Strong understanding of Object Oriented Programming, data structures and design patterns
• Experience in developing B2C / B2B mobile applications
• Experience in memory management and in designing high-performance applications
• Strong Java, Design Patterns and OOPS knowledge and hands-on experience
• Experience in shipping applications through the Google play store
• Experienced in Android Material Design
• Basic SQL knowledge
• Experience in working with JUnits and other Unit Testing framework is a plus
• Experience in OpenGL and animations is a plus