Virtual Enterprise Sales Account Executive

Candidate should have minimum 6 years of client-facing experience.

Candidate should have experience in a SaaS Business Model or Health-tech domain.

Candidate should have worked on B2B model.

Candidate should have experience from SAAS or B2B companies.

Candidate must have minimum 2 years of experience in managing and leading teams.

Proven experience in Customer Success lifecycle management from pre-launch to renewal.

Candidate must have Target driven approach and mindset to achieve business targets and defined growth objectives

Candidate should have experience in cross-selling and up-selling.

Strong client relationship management and stakeholder engagemen

t skills

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

📍 About the Role

We are seeking a highly motivated Demand Generation Executive to join our growing team. You will play a key role in driving lead generation activities, qualifying prospects using the BANT (Budget, Authority, Need, Timeline) framework, and supporting sales efforts through quality pipeline creation. You will work closely with both Sales and Marketing teams to generate interest, identify opportunities, and contribute to revenue growth.

🔑 Key Responsibilities

• Conduct outbound prospecting to generate and qualify leads using BANT criteria (Budget, Authority, Need, Timeline).
• Perform contact discovery and market research to identify key decision makers and target accounts.
• Engage with prospects through cold calls, emails, LinkedIn outreach, and other channels.
• Maintain and update CRM records, ensuring accurate lead status and follow-up activity.
• Schedule qualified appointments/demo calls for the sales team.
• Collaborate with Marketing to improve campaigns and lead qualification processes.
• Track, analyze, and report on lead generation activities and outcomes. 

• As the key member of a consultative sales team, you will be focused on developing and closing new business opportunities with assigned accounts
• Develop expertise of the company products to ensure potential customers have the right expectations from our products
• Aggressively drive the development of the sales pipeline by prospecting and performing outbound sales activities such as lead follow-up, sales qualifications, and calling
• Nurture leads through the funnel to close transactions by contacting them on multiple channels - social, email, phone, online demo, in-person meetings
• Attend industry events such as trade shows and conferences to meet new prospects
• Be the voice of the customer to articulate requirements and feedback clearly to other teams such as Marketing, Account Management, and Product

About the company:

We are an IT & Consulting organization helping Enterprises with their Analytics and Planning needs. Their Rockstar team has built multiple products and solutions to cater to our clients across sectors such as Retail & E-commerce, Consumer Goods, Pharmaceuticals & Life Sciences, Real Estate, Hi-tech, Manufacturing, and Automotive.

We have a geographic presence in the United States (Dallas) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people, a strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. 

Profile Summary

We are looking for individuals with a leadership mindset in sales, who comes with strong consultative sales experience.

Key Responsibility 

Create a systematic, process-driven approach to partner outreach and relationship management.

Keep a great ongoing relationship with AWS and offer new ways to grow the partnership.

Can-do attitude individual who enjoys networking and establishing relationships.

Manage high-value corporate partnerships and develop long-term strategies to secure multi-year strategic partnerships.

Analyse and identify opportunities to secure new business by partnering with Anaplan.

Drive the team towards sales targets, has visibility of all opportunities and risk, and ensures the team has a healthy pipeline and proposal tracking systems.

Identify new markets to widen the market base for enhanced revenue and profit generation.

Administer the entire sales process as per plan.

Manage Anaplan engagements to design strategies to acquire more business deals through OEMs.

Manage pricing and other sales proposal activities and provide support to the marketing department.

Owns the business plan: financial target/proposal submission/revenue on hand/pipeline. Overall business planning and forecasting.

Collaborate with Anaplan for conducting events for enhancing business growth.

Negotiates with clients and uses the right levers in doing so. Clearly links the value of Polestar Solutions offerings with the price.

Takes overall accountability for business planning and implementation.

Personal Attributes

You have the resilience to bounce back after minor setbacks.

You have the achievement orientation to achieve the target and do what it takes.