
Understanding client needs and offering solutions and support; answering potential client questions and follow-up call questions; responding to client requests for proposals (RFPs)
Creating informative presentations; presenting and delivering information to potential clients at client meetings, industry exhibits, trade shows, and conferences
Creating and maintaining a list/database of prospect clients; maintaining a database (Salesforce, CRM, Excel, etc.) of prospective client information
Cold calling; making multiple outbound calls to potential clients; closing sales and working with the client through the closing process
Collaborating with management on sales goals, planning, and forecasting; maintaining short- and long-term business development plans

Similar jobs
Job Description for Project Manager:-
1.Exposure to US/International Client Client (Preferred) Prior Experience in Digital Marketing (Search Engine Optimization) / Project Coordinator / Project Manager roles.
2. Excellent written and verbal communication and presentation skills, able to generate interest and engage the client during calls and on emails.
3. Manage projects, establish productive, professional, and profitable relationships with key personnel and clients in assigned projects.
4. Coordinate with various departments within the organization, including support, service, technology, and manage resources, in order to ensure seamless functioning of the client accounts.
5. Responsible for client receivables; planning and execution of monthly retention.
6. Candidates with Project Management, Digital Marketing & Technical Skills Preferred.
7. Preferred Location Noida.
8. Document all requests and comments made by clients to ensure timely feedback and follow-up actions of client escalations/queries.
9. Ability to maintain a positive, motivational, 'get things done' attitude, especially when faced with difficult circumstances.
10. Achieves strategic customer objectives and account plans defined by company management.
11. Good relationship-building skills (internal, external, and cross-cultural).
12. Sound computer skills, especially in the areas of MS Word, MS Excel, and MS PowerPoint.
13. Lead solution development efforts that best address customer needs, while coordinating the involvement of all necessary actions required and always keep the internal team updated.
14. Maintain a consistent schedule of online meetings with the client to manage performance objectives, customer-expectations and assess customer needs on an ongoing basis.
Role Overview
We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.
This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.
Key Responsibilities
1. Leadership & Delivery
- Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
- Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
- Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.
2. Product & Business Integration
- Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
- Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
- Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.
3. Technical Execution
- Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
- Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
- Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
- Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
- Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.
4. Business Intelligence & Data Storytelling
- Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
- Translate complex statistical outputs into actionable business narratives for executive decision-making.
- Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.
5. Agile Program Management
- Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
- Track velocity, quality metrics, and ROI impact for each product stream.
- Coach teams on agile best practices and outcome-oriented delivery.
Qualifications
Required
- 10+ years of total experience with at least 3 years in a tech lead capacity.
- Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
- Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
- Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
- Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.
Preferred
- Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
- Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
- Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
- Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
- Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.
Key Traits
- Hands-on technologist who can code, review, and guide with empathy.
- Strategic thinker who connects product vision with execution.
- Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
- Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.
Roles and Responsibilities
1.
Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.
2.
Ideate, design, and implement program that focused on post-training support for mental health first-aiders.
3.
Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).
4.
Oversee and facilitate MHFAI instructors for training and upskilling.
5.
Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.
6.
Draft and initiate scientific research, and create tools required at workplace to measure mental health.
7.
Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.
8.
Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.
9.
Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.
10.
Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.
11.
Provide support in other operational functions of MHFA as needed.
Requirements:
•
3-15 years in clinical work and / or mental health training
•
Qualification: Msc. Counselling Psychology
Msc. Applied Psychology (any specialization, preferably HR Specialization )
•
Experience in Clinical Practice / Research
•
Exposure to mental health training and created content or training on Mental Health for Adult
•
Experience of having previously worked in organized group is desirable
understand and interpret data within the context of the product / business -
solve problems and distill data into actionable recommendations.
Strong communication skills with the ability to confidently work with cross-
functional teams across the globe and to present information to all levels of the
organization.
Intellectual and analytical curiosity - initiative to dig into the why, what & how.
Strong number crunching and quantitative skills.
Advanced knowledge of MS Excel and PowerPoint.
Good hands-on SQL
Experience within Google Analytics, Optimize, Tag Manager and other Google Suite tools
Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus
Inherent interest in e-commerce & marketplace technology platforms and broadly in the consumer Internet & mobile space.
Previous experience of 1+ years working in a product company in a product analytics role
Strong understanding of building and interpreting product funnels.
Job description
A Digital Marketing Executive’s day-to-day responsibilities include lead generation, marketing, handling social media accounts, organizing campaigns on social media platforms, responding to queries from customers with patience on all platforms. The executive must maintain a positive and professional attitude while handling the responsibilities.
Responsibilities:
- Lead generation and handing over the leads to sales department.
- Improve lead generation quality by research on new marketing channels.
- Plan, organize and execute offline and online marketing activities, independently.
- Compose persuasive and compelling content for marketing on various portals.
- Design and implement marketing and referral campaigns to increase leads.
- Establish new partnerships with marketing portals for lead generation.
- Manage social media accounts and improve brand awareness.
- Maintain track of your progress over time by creating monthly reports that summarize key metrics.
- Collaborate closely with the sales team to ensure that customers are being handled effectively and that deals are closing smoothly.
Qualifications:
· Good communication skills with fluency in English language.
· To have excellent knowledge of Microsoft Office, email and web searches, along with the ability to quickly and effectively learn new software packages
· Any Graduate with experience of 2-3 years in relevant field is preferred.
· Good understanding of CRM software, Property management tool.
· Digital marketing certifications is a plus.
· Ability to use Photoshop tools to edit photos appealing to customers.
· Good experience in handling social media accounts
· Good knowledge on marketing tools like buffer, hootsuite etc
About Company:
Spericle Group operates companies that specialize in student housing, property management services, construction and the hospitality services in Lincoln, UK for over 20 years.
Salary:
150 - 200 INR per Hour
Timing: 1.30PM to 10.30PM
Job Type: Full-time
Benefits:
- Work from home
Education:
- Bachelor's (Preferred)
Language:
- English (Preferred)
art of programming. Responsibilities will involve translating the UI/UX design wireframes
to actual code that will generate visual aspects of the application. You will collaborate with
the UI/UX designer to bridge the gap between graphical design and technical
implementation. You will play an active part on both sides and define how the program
appears as well as how it operates.
● Collaborating with web designers to talk about the layout and design of the project
● Coding the entire website from beginning to end
● Developing front-end web apps and code debugging
● Ensuring cross-platform compatibility
● Finding errors in applications and troubleshooting them
● Performing usability and performance testing on websites
Required skills for CSS/HTML5 developers
● Bachelor's degree in computer science, computer engineering, management
information systems, or a related field
● At least 3+ years of HTML/CSS development experience is required
● Proficiency with HTML5, CSS3, JavaScript, and XML
● Knowledge of troubleshooting code and application is highly desirable
● Ability to translate user requirements into code
● Familiarity with building intuitive front-end applications
Designation: Pre-Sales Consultant.
Department: Sales Department.
Delhi Region
Job Description:
· Designing connectivity solutions for existing and potential customers
· Engage directly with sales and account teams to support pre-sales activities
· Develop Designs & Bills of material for cost effective solutions
· Take a leading role in specifying technical solutions
· Responsible for writing proposals and tender responses
· Develop excellent working relationships with partner organisations to ensure effective collaboration in responding to customer needs.
· Provide Training to implementation Team of Partners & Customers
· Work as a technology adviser to both prospective Customers and representatives of currently assigned partners
· Engage directly with sales and account teams to support pre-sales activities.
· Work closely with senior network engineers to design complex connectivity solutions
· Monitor sales activities in conjunction with network development and operational standards to ensure customer solutions are sympathetic to current network design principles and restrictions
· Liaise with colleagues across the company to help ensure solution design activities are documented and tracked as required
· Supporting Sales Process in technical Environment
Job Requirement:
· Bachelor’s in engineering: Computer Eng. Information & Technology Eng., Electronics & Telecommunication, or related field.
· Must have Presale’s experience into any Firewall.
· 3+ years overall IT/development Background.
· Good interpersonal, presentation, and communication skills.
· Strong customer service orientation.
About the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for a data scientist to join its growing team. This position will require you to think and act on the geospatial architecture and data needs (specifically geospatial data) of the company. This position is strategic and will also require you to collaborate closely with data engineers, data scientists, software developers and even colleagues from other business functions. Come save the planet with us!
Your Role
Manage: It goes without saying that you will be handling large amounts of image and location datasets. You will develop dataframes and automated pipelines of data from multiple sources. You are expected to know how to visualize them and use machine learning algorithms to be able to make predictions. You will be working across teams to get the job done.
Analyze: You will curate and analyze vast amounts of geospatial datasets like satellite imagery, elevation data, meteorological datasets, openstreetmaps, demographic data, socio-econometric data and topography to extract useful insights about the events happening on our planet.
Develop: You will be required to develop processes and tools to monitor and analyze data and its accuracy. You will develop innovative algorithms which will be useful in tracking global environmental problems like depleting water levels, illegal tree logging, and even tracking of oil-spills.
Demonstrate: A familiarity with working in geospatial libraries such as GDAL/Rasterio for reading/writing of data, and use of QGIS in making visualizations. This will also extend to using advanced statistical techniques and applying concepts like regression, properties of distribution, and conduct other statistical tests.
Produce: With all the hard work being put into data creation and management, it has to be used! You will be able to produce maps showing (but not limited to) spatial distribution of various kinds of data, including emission statistics and pollution hotspots. In addition, you will produce reports that contain maps, visualizations and other resources developed over the course of managing these datasets.
Requirements
These are must have skill-sets that we are looking for:
- Excellent coding skills in Python (including deep familiarity with NumPy, SciPy, pandas).
- Significant experience with git, GitHub, SQL, AWS (S3 and EC2).
- Worked on GIS and is familiar with geospatial libraries such as GDAL and rasterio to read/write the data, a GIS software such as QGIS for visualisation and query, and basic machine learning algorithms to make predictions.
- Demonstrable experience implementing efficient neural network models and deploying them in a production environment.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Capable of writing clear and lucid reports and demystifying data for the rest of us.
- Be curious and care about the planet!
- Minimum 2 years of demonstrable industry experience working with large and noisy datasets.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
- 3+ years’ experience in manual and automated QA for Web, iOS, and Android
- Analyzing user’s stories and/use cases/requirements for validity and feasibility
- collaborate closely with other team members and departments
- Can be able to write all test cases independently
- execute all levels of testing (System, Integration, Regression, and Security)
- Be proactive in identifying issues, deep dive, troubleshoot, communicate to stakeholders and escalation of issues and providing status reports
- Sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
- Design and develop automation scripts when needed
Experience with developing native Applications for Android and iOS using Xcode, Objective C, Cocoa , iPhone SDK ,Android Studio and Android SDK.
- Hands on Experience with any mobile hybrid framework.
- Independently drive the design and development of mobile application project.
- Conceptualize and design Mobile applications based on need.
- Should have knowledge of Java, Objective C, Swift, GPS, SQLlite, Xcode IDE, iPhone UIKit framework.
- The coder should be well versed with using web services, Interface, Builder & Debugging tools, Google map kits, multitasking.
- Candidate must have independently designed and developed mobile applications
- Knowledge on App publishing process to Stores
- Familiarity with Push notifications, Payment Gateway Integrations, In-app purchases
- Proficient with API request and JSON Handling
- Expert and proficient in clean code best practices.
- Strong analytical and troubleshooting skills.
- Design and build advanced applications for the mobile platform
- Collaborate with cross-functional teams to define, design, and ship new features.
- Unit-test code for robustness, including edge cases, usability, and general reliability.
- Work on bug fixing and improving application performance.
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.












