Telesales Executive

Key Responsibilities & Activities

1. Requirement Gathering & Analysis

○ Engage with clients to understand their business processes and objectives.

○ Conduct in-depth analysis of client requirements to identify specific needs.

○ Provide process consulting by mapping ‘as-is’ and ‘to-be’ processes to ensure maximum utilization of standard Odoo features.

2. Odoo Setup & Configuration

○ Set up Odoo environments based on the customer’s hosting preferences.

○ Configure Odoo applications to align with client-specific business workflows.

○ Set up companies, users, and access rights based on organizational structure and security needs.

3. Functional Architecting (for Customization Requirements)

○ Conduct GAP analysis to identify business requirements that necessitate custom development.

○ Define functional workflows for business processes requiring customization.

○ Draft user stories or detailed functional specifications to guide the technical team.

4. Data Migration

○ Plan and execute data migration strategies from legacy systems to Odoo.

○ Perform data imports (via templates or scripts) and validate data accuracy post-migration.

○ Troubleshoot and resolve any data-related discrepancies.

5. Training

○ Conduct end-user training sessions on both standard and customized Odoo features.

○ Develop training materials and user documentation for effective onboarding.

○ Provide ongoing support and address user queries during the training phase.

6. Testing

○ Perform functional testing to ensure quality before delivering features to the client.

○ Support clients during User Acceptance Testing (UAT) and follow up to ensure completion.

○ Define success criteria for user stories involving development or customization.

7. Go-live

○ Plan and execute cutover activities for go-live.

○ Ensure smooth transition and provide immediate support during the go-live period.

○ Maintain high availability and responsiveness during this critical phase.

8. Support

○ Provide ongoing support to end-users after implementation.

○ Resolve functional issues and respond to support requests promptly.

○ Ensure service levels are maintained in accordance with agreed SLAs.

9. Documentation

○ Create and maintain Business Requirement Documents (BRDs) and Functional Specifications (FSDs/User Stories).

○ Prepare user guides and manuals for custom-developed features. ○ Ensure documentation remains up-to-date with ongoing changes and improvements.

10. Stakeholder Communication

○ Maintain proactive and transparent communication with clients regarding project progress.

○ Conduct regular project review meetings to ensure alignment with client expectations.

11. Project Management

○ Manage project timelines, milestones, and deliverables to ensure successful implementation.

○ Utilize Aktiv's project management system for tracking tasks and logging timesheets.

12. Team Collaboration

○ Work closely with developers, technical leads, and other consultants to deliver integrated solutions.

○ Participate in regular internal meetings to align project activities.

○ Support the sales team during pre-sales by providing expert consultation.

13. Strategic Involvement

○ Contribute to continuous improvement initiatives for internal processes & systems and project delivery standards.

○ Assist in the creation of Standard Operating Procedures (SOPs).

○ Mentor junior consultants or business analysts and support their development through structured training plans.

Mandatory Skills:

• AZ-104 (Azure Administrator) experience
• CI/CD migration expertise
• Proficiency in Windows deployment and support
• Infrastructure as Code (IaC) in Terraform
• Automation using PowerShell
• Understanding of SDLC for C# applications (build/ship/run strategy)
• Apache Kafka experience
• Azure web app

Good to Have Skills:

• AZ-400 (Azure DevOps Engineer Expert)
• AZ-700 Designing and Implementing Microsoft Azure Networking Solutions
• Apache Pulsar
• Windows containers
• Active Directory and DNS
• SAST and DAST tool understanding
• MSSQL database
• Postgres database
• Azure security

Roles and Responsibilities

How to know if you are the one we're looking for? You are the one if you have extensive knowledge of the latest SEO Trends and online marketing channels.

Developing SEO-based content like Blogs, Guest Blogs and PR and s. Optimize content considering SEO and Google Analytics.

Accountable for all initiatives to drive traffic, engagement, and leads, that deliver sales and customer retention.

Depth of understanding and knowledge of organic search trends, including search engine algorithm changes, and the latest tools and technologies.

Create and launch SEO campaigns, identify areas of improvement, and optimize the site's performance and rankings in major search engines.

Handy experience in operating various marketing tools.

Other Skills: link building, keyword research, Google search console, Google Analytics, Website analysis tools.

Desired Candidate Profile

Ability and desire to strive for excellence.

Self-initiative, determined, and tech-savvy to the core.

SEO, SEM, Google Analytics, Website Designing, Graphic Designing.

Handy experience in operating various marketing tools.

Excellent Rank Producing, On page Off Page promotion, Link Building, and Back link Building.

a plus for channels such as SMO, PPC, Email Marketing and Content Marketing.

FRANCHISE SALES MANAGER

Promilo.com (Sawara Solutions Pvt Ltd)

Industry: IT Software - SAAS

Location: Bangalore

Mode: Full-Time

Salary: As per the industry standard

About Us

Promilo is India’s 1st innovative platform, "Pay to Browse” It is a B2B SaaS start-up that accelerates the companies' business appointment funnel. We’re an advertising platform that connects both users & advertisers. Users will be able to book an online appointment based on their interests with the advertiser, without compromising their data privacy and get rewarded for sharing their data and time. We’re registered and recognized by Start-up India, Start-up Karnataka & MSME. To know more - Visit - www.promilo.com or watch this video - https://www.youtube.com/watch?v=wPeKo1i1VQI

KEY ACCOUNTABILITIES

• Present business plans to the potential client, and negotiate the terms and conditions of the franchise agreement
• Scheduling sales meetings with interested delegates and following them up till franchise sign-ups. 
• Coordinate the franchise recruiting process.
• Manage Footprints franchise sales and lead database.

DUTIES AND RESPONSIBILITIES

• Make telephone calls to the leads assigned by the system to validate the leads and present information on the Promilo franchise.
• Generate the lead through multiple sales & marketing activities
• Pre-qualify the leads by asking questions about their location preference, profiles, interests, etc.
• Present information to the qualified leads about the Promilo franchise model, the investment required to start and run a FICO & FIFO model, etc.; Conclude calls by sending the prospects emails/messages with links for further information on the franchise opportunity.
• Capture and document information on the leads obtained through the telecalls in the system.
• Enter and update prospects’ information in the database.
• Schedule and make a follow-up call to assess the level of interest of the prospects and to qualify them for the next stage of the face-to-face meeting.
• Send requests to prospects for filling up the Expression of Interest (EOI) forms to collect information regarding their funding ability.
• Schedule face-to-face meetings for prospects with concerned Relationship Managers (RM).
• Hand out the ROI-Sheet, the Term-Sheet, and the Agreement Draft to the franchisee candidates approved by the RM / Head – of Franchise Development.
• Answer queries, provide information, assist the prospects with personal visits and provide support as required.

Technical

• Proficiency in relevant computer applications – MS Office, Google Sheets, etc.
• Data Entry Skills

Non-technical

• Active Listening
• Persuasiveness
• Persistence
• Telephone Etiquette and Customer Focus
• High Energy Level

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.