Engineering Manager

Strong B2B Inside Sales / Product Sales profiles

Mandatory (Experience 1): Must have 6+ years of experience in Inside Sales for B2B (Services / SaaS) Sales roles

Mandatory (Experience 2): Proven experience in B2B product sales, with hands-on involvement in lead generation, qualification, client follow-ups, and opportunity management

Mandatory (Experience 3): Strong exposure to campaign management, active follow-ups, and inside sales motions (email, calls, CRM-driven sales)

Mandatory (Sales Execution): Demonstrated ability to identify prospective clients, manage sales pipelines, and support closure of deals

Mandatory (Core Skills): Solid understanding of sales process, sales matrix, sales techniques, and client engagement model

Mandatory (Tools): Hands-on experience using Salesforce or any CRM tool, along with online resource management and data mining.

Mandatory (Education): Bachelor’s degree in BA / B.Com / BBM / BBA

Mandatory (Company): B2B SaaS

About us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, coders and a puppy momo, who believe Moshi Moshi is an experience rather

than a company.

Job Role - Social Media Executive

Experience Level - 1 year

Location - Bangalore

Responsibilities:

● Create Campaign Strategies and monitor the execution to achieve the brand objective

● Objective Identification and delivery via curating the best digital strategy

● Managing and Supervising Facebook ads, Instagram Ads, Twitter Ads, and Linkedin Ads

● Handling social pages of Instagram, Facebook, LinkedIn, etc.

● Develop, implement and manage a brand's social media strategy on a monthly basis.

● Define the most important social media KPIs.

● In-depth knowledge of paid marketing and daily implementation, reporting, and running of paid marketing on all social platforms.

● Measure the success of every social media campaign, as per required metrics

● Stay up to date with the latest social media best practices and updates

● Work with copywriters and designers to ensure content is informative and appealing or has relevant writing capability.

● Monitor SEO and user engagement and suggest content optimization.

● Communicate with industry professionals and influencers to create a strong network via social media.

● Provide constructive feedback to the team and train them to achieve desired results.

Responsibilities:

• Research industry-related topics to develop original content ideas.
• Write clear, concise, and compelling blog posts, articles, social media posts, newsletters, and website content.
• Assist in editing and proofreading content for accuracy and consistency.
• Collaborate with the marketing team to align content with brand voice and campaign goals.
• Optimize content for SEO to improve visibility and organic reach.
• Support content planning and brainstorming sessions.
• Learn and adapt to feedback to improve writing skills and output quality.

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry
• You will have the flexibility to manage your days in support of our commitment to work/life balance
• You will join a culture that has received multiple top “Places to Work” awards
• We believe that great work is accomplished when cultures, ideas and experiences come together to create new solutions
• We understand that embracing our differences is what unites us as a team and strengthens our foundation
• Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work
• Numerous Employee Resource Groups (ERGs) to support our Diversity, Equity, & Inclusion (DE&I) efforts

What Work You Will be Responsible For:

• Delivering a full range of Partnership tax services for Financial Services Clients in compliance with laws and regulations within timeframe.

• Building relationships and interacting with clients to provide excellent planning, consulting and expertise.

• Providing tax planning and reviewing complex 1065 tax returns of Hedge Funds, Private Equity Funds, Venture Capital Funds, Fund of Funds and similar complex structures.

• Review and managing of the Tax returns and supporting Work papers as per US Tax Law

Compliances for:

• Form 1065, Schedules K-1,K-2,K-3
• State and Local Tax compliances
• International filling compliances

• You will be involved in all aspects of tax assignments from planning and projections to finalization.

• You will be responsible to identify tax issues and propose potential solutions to resolve them.

• You will have an opportunity to work directly with the clients and provide exemplary client service that exceeds their expectations.

• You will receive direct and comprehensive training from our Manager and Senior Managers as well as on the job training.

• As a part of our client's team, you will have an opportunity to work seamlessly with US counter parts by utilizing our state of the art technology and electronic office tools and processes.

• Excellent opportunity to learn complex tax issues affecting US and Global investment
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• Manage, train, and develop staff. Participate in the performance review process
• Volunteer for our firms technology initiatives.

Basic Qualifications:

• Bachelor’s degree in Accounting or equivalent field is required
•  3+ years of progressive US/Global taxation experience

Preferred/Desired Qualifications:

• CPA/CA or Enrolled Agent shall be an added advantage
• Experience working directly with clients and/or global counterparts
• Experience working with financial services clients.

We strongly believe in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, EisnerAmper is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or protected veteran status, citizenship, or other protected characteristics under federal, state, or local law.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science.