Customer Success Manager

Responsibilities: 

• Assisting the Talent Acquisition team to manage end to end recruitment and ensuring the business needs are met within defined timelines. 
• Leverage social media and other channels of sourcing to tap the passive candidate pool. The intern shall be a support in Recruitment related analytics. 
• Mine databases to identify potential candidates and screen profiles for appropriate skills, experience, and knowledge in relation to open requirements 
• Leverage market intelligence and industry trends, including target companies and organizations, to build candidate database 

Other Details:

• Work Mode: Hybrid (3 days from office)
• Work Location: Noida Sector 144

We are looking for an HR Manager with outstanding people skills to manage our personnel and ensure that our human resources programs and initiatives are effective, efficient, and aligned with overall business objectives. The ideal candidate for this role should possess a high work ethic, excellent communication skills, knowledge of labour regulations and HR practices, strategic thinking abilities, strong organisational skills, and excellent interpersonal skills.

Responsibilities:

Provide professional leadership, support, and development to HR staff, in order to increase knowledge, share best practices, and ensure that relevant professional standards are met.

Advice and strategies on the development of effective employment policies across the company.

Take a lead role in transforming and strengthening the organisational culture, ensuring that the company values and approach are displayed.

Ability to handle Employee Relations issues end to end.

Coordinate playbooks for annual HR activities such as compensation planning and open enrolment.

Handle a team of recruiters and end-to-end IT recruitment.

Parse specialised skills and qualifications to screen IT resumes

Perform pre-screening calls to analyse applicants’ abilities

Interview candidates combining various methods (e.g., structured interviews, technical assessments and behavioural questions)

Coordinate with IT team leaders to forecast department goals and hiring needs

Craft and send personalised recruiting emails with current job openings to passive candidates

Participate in tech conferences and meetups to network with IT professionals.

Required Skills:

Good knowledge of employment regulations.

Proven work experience as a Technical Manager or Manager 

Hands-on experience with various interview formats (e.g., phone, Skype and structured)

Technical expertise with an ability to understand and explain job requirements for IT roles

Familiarity with Applicant Tracking Systems and resume databases

Solid knowledge of sourcing techniques (e.g., Job portals and Boolean search)

Excellent verbal and written communication skills, Solid understanding of HR practices and labour legislation.

EverestEngineering -Software Engineering when you need it. High quality, scalable, distributed development teams are ready to help you now. Sustainable software development. Fit for purpose. Doing the right thing both for our customers and for yours.

As a team, we are passionate and motivated by the impact our organization can have on our customers, employees, the industry, and the world. We are here to accelerate software innovation by digitally connecting the global workforce. Through our experience, we know that working with remote teams and getting it right can become a competitive advantage for organizations. We want to provide this advantage to customers and partners that are trying to have a positive impact on the world through software innovation

Excellence is at the forefront of our mission. We see an opportunity to shift the narrative of working with offshore teams - from a frustrating cost-cutting exercise to a beneficial value addition.https://everest.engineering/

Our experience means we understand the problems software companies face trying to build offshore distributed teams because we've been there before ourselves.

We work iteratively together to manage these problems for you, or to provide extra capacity in peak times so that you can do what you do best – deliver amazing innovations and delighting your customers
To see the quality of our code, you can checkout some of our open source projects: https://github.com/everest-engineering" target="_blank">https://github.com/everest-engineering

Specialties- 

Big Data, Web Development, Mobile Development, Agile Development, Data Analytics, Software Product Development, and Remote Working

HeadQuarters- Melbourne, Victoria

We love people who in general - 

• have a passion to own and create amazing products.
• are able to clearly understand the customer’s problem.
• are a good collaborative problem solver.
• are a really really good team player.
• are open to learn from others and teach others.
• are able to take the meaningful feedback and improve continuously.
• can commit to inclusion, equality & diversity.
• can maintain integrity at work.

You are the one if - 

• you love solving problems.
• you have a keen interest in understanding and analysing the customer problems and solutions. 
• you possess good listening, communication (verbal & written) and presentation skills.
• you can empathise easily with customers.
• you can facilitate and lead workshops that generate customised business solutions.

• analyse the as-is system and collaborate with clients to create artefacts (personas, journeys, epics, stories, to-be system etc.) to outline business vision, objective, product roadmap, and a project release plan.
• effectively manage the scope and constraints of the project.
• work in agile teams that help in the successful delivery of a project.
• effectively prioritise and obtain buy-in from all the stakeholders to help the team with the requirements.
• write detailed stories to help the team understand the requirements.
• demonstrate flexibility in picking up things/roles needed for the successful delivery of the project. 
• collaborate with the UX team to understand and contribute to the user research & design process.
• be an effective liaison between the client and your team to manage the product backlog and keep an eye on the software delivery.

Requirements

• 2.5+ years of experience in React JS and Redux
• Expert in React.j, ideally using TypeScript language extensions
• Good understanding of JavaScript Design Patterns
• Good experience writing front-end test cases
• HTML5, CSS3 and Responsive web design are mandatory
• Exposure to Scrum methodology and XP technical practices such as unit testing, pair programming, test-driven development, continuous integration or continuous delivery
• Self-motivated, fast learner, detail-oriented, team player and a sense of humour
• Should have experience with Payment(US) Integrations
• Should have experience with Ecommerce/ERP Connectors

Position description:

As a Sourcer, you will be responsible for sourcing active candidates from on-line databases, contact lists, and internal databases as well as sourcing passive candidates through networking, cold calling, complex internet searches, and research. This is a great opportunity for anyone in Staffing to become a part of a truly global sourcing effort. 

Responsibilities:
1. Proactively conduct research and investigate new ideas to create innovative sourcing strategies. Strong focus on sourcing passive candidates through networking, cold calling, complex internet searches, and research.

2. Source active candidates from on-line databases, contact lists, internal databases, and employee referrals.

3. Act as a search expert for a functional area(s) by understanding functional hiring needs, position specifications, and search requirements.

4. Partner with recruiters to generate ideas, leverage resources, and share information that facilitates an effective search process.

5. BA/BS degree preferred or equivalent experience

6. 3-5 years of recruitment experience in an agency

7. Be a market intel expert for the respective skill sets you hire for and drive insightful discussions around talent availability, forecasting, competitor landscape with recruiters and clients

• Create and maintain new hire and personnel files and enter them into Human Resources Information Systems.
• Assist with orientation of new employees.
• Ensure accurate maintenance of all employee records and files (e.g., interview documents, ).
• Support processing and maintenance of payroll records in accordance with policies and procedures, as necessary.
• Generate Human Resources data reports as necessary Answer phone calls and record messages.
• Create and type office correspondence using computer.
• Serve as Human Resources subject matter expert and participate on project teams.
• Day to day operations of the HR function
• End to End Recruitment process like Sourcing of candidates from job portals, taking care of interview and selection process.
• HR Administration (eg. leave management, employee database, salary inputs, training history cards)

• Strong communication and organizational skills
• Must be self-motivated with a strong sense of urgency
• Ability to handle multiple priorities while maintaining strong attention to detail and adhering to deadlines
• Strong interpersonal and communication skills, both oral and written
• Able to create a positive employee experience so that people want to join and stay with the organisation
• Sound judgment and problem-solving skills
• Familiarity with MS Office/Excel/Outlook

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility