VP Demand Generation

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Job Description:

We are looking for a highly experienced Java Developer with expertise in Spring Boot and Microservices architecture. The ideal candidate will have 4+ years of experience in building scalable, high-performance applications.

Key Responsibilities:

• Develop and maintain Java-based applications using Spring Boot and Microservices.
• Create and implement RESTful APIs and integrate with third-party services.
• Design and build scalable, resilient microservices.
• Perform code reviews and optimize applications for performance and security.
• Deploy and manage applications on cloud platforms (AWS, Azure, or GCP).
• Implement CI/CD pipelines for continuous integration and deployment.
• Diagnose and resolve technical issues and production bugs.

Required Skills:

•  Java 8+ or 11+ (strong proficiency)
•  Spring Boot, Spring MVC, Spring Security
•  Microservices architecture and distributed systems
•  RESTful APIs and API gateways
•  SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)
•  Cloud platforms (AWS, Azure, or GCP)
•  Containerization (Docker, Kubernetes)
•  CI/CD pipelines (Jenkins, GitLab CI)
•  Message brokers (Kafka, RabbitMQ)

About the Client

Our client is a fast-growing holistic wellness platform that connects users with experienced experts in astrology, tarot, numerology, vastu, and other spiritual sciences. The platform focuses on providing personalized guidance to help individuals navigate challenges in career, relationships, health, finance, and personal growth. Guided by the philosophy of “Quality over Quantity,” every interaction aims to create real, positive change for users.

About the Role

We are looking for an experienced YouTube Expert / YouTube Channel Manager / Video Marketing Specialist to lead the growth and strategy of our YouTube presence. The ideal candidate will have a strong command of YouTube SEO, analytics, and audience engagement, along with the creativity to craft impactful video content that drives results.

Key Responsibilities

• Strategically grow YouTube subscribers, views, and watch time through data-driven content planning.
• Optimize video titles, descriptions, tags, and thumbnails to maximize YouTube SEO and visibility.
• Analyze performance metrics using YouTube Studio and Analytics, identifying trends and improvement opportunities.
• Manage overall channel operations including publishing, scheduling, and community interaction.
• Collaborate with content creators and marketing teams to deliver engaging, high-performing videos.
• Stay up to date with YouTube algorithm updates and best practices for continuous growth.
• Oversee community engagement by responding to comments, handling feedback, and fostering loyalty among viewers.

Requirements

• Minimum 5 years of professional experience managing and optimizing YouTube channels.
• Proven track record of growing subscribers, engagement, and viewership organically.
• Deep understanding of YouTube SEO, analytics tools, and audience behavior.
• Creative and analytical mindset — capable of turning insights into actionable strategies.
• Strong communication, storytelling, and project management skills.

Why Join Us

• Opportunity to build and scale a rapidly growing YouTube presence.
• Collaborative environment where creativity meets data-driven strategy.
• Be part of a team that’s making a meaningful impact through informative and inspiring video content.

Key Responsibilities:

• Develop detailed financial models including 3-statement, DCF, LBO, and scenario/sensitivity analysis

• Draft valuation reports aligned with SEBI, RBI, IBC, and Companies Act guidelines

• Create compelling pitch decks, teasers, and investment memorandums

• Conduct industry-specific research and apply appropriate valuation methodologies

• Ensure precision, compliance, and high-quality output in all deliverables

• Collaborate with internal teams and clients during the afternoon shift

Candidate Requirements :

Experience: 1–2 years in financial modelling and valuation

• Education: MBA (Finance),

Semi-qualified CA or CFA • Skills:

Advanced Excel & Google Sheets (Pivot Tables, Power Query, Index-Match, etc.)

o PowerPoint proficiency for investor presentations

o Strong understanding of accounting, finance, and valuation techniques

o Excellent English communication (written & verbal)

o Discipline to work independently in a remote setup with a fixed 2 PM–11 PM schedule

Working Days

6 working days

Working Timings

2-11pm

About the Company:

SaveIN is a Y-Combinator-backed, fast-growing healthcare technology company revolutionizing healthcare access in India. Based in Gurugram, we are proudly backed by YC and top investors from the US and Europe. Our innovative products span healthcare aggregation, payments, finance, and SaaS, making healthcare more accessible and affordable.

About the Role:

As a Sales Lead at SaveIN, you will drive the go-to-market strategy, build and scale a high-performing sales team, and optimize the sales funnel for our SaaS offering. From lead generation to conversion, you’ll own sales execution, CRM implementation, and revenue growth.

You’ll work cross-functionally to enhance product marketing, customer success, and overall P&L. If you thrive in fast-paced environments and have a proven track record in B2B SaaS sales, we’d love to have you onboard!

Department: Sales

Employment Type: Full Time/ Work from office

Required Experience: 6-8 yrs

Reporting: Founder & CEO

Key Responsibilities:

·       Work with the growth marketing team and ICP to launch and scale the SaaS offering.

·       Implement and manage CRM tools to monitor performance metrics and sales activities.

·       Create and manage lead generation funnel through inbound and outbound channels

·       Set up inside sales unit and recruit, train and grow an efficient team of SDRs, AEs and CSMs.

·       Ensure seamless sales operations, including lead tracking, forecasting, and reporting.

·       Achieve continuous improvement on MQL to conversions and retention.

·       Stay updated on industry trends, competitive landscape, and emerging customer needs.

·       Lead negotiations to close high-value deals and manage contracts effectively.

·       Collaborate to influence customer success and drive product adoption.

Requirements:

·       Proven experience of 6-8 years in B2B SaaS inside sales preferably in healthcare/employer/insurance SaaS

·       Deep understanding of the B2B SaaS market and customer acquisition strategies.

·       Expertise in using CRM tools (e.g. Zoho, HubSpot, Apollo.io) and data-driven decision-making.

·       Proven track record of driving customer acquisition and growth for early-stage companies.

·       Excellent communication, leadership, negotiation and team management skills.

·       Master’s degree in business/analytics is preferred

Why Join Us?

·       We are growing fast and making an impact

·       Flexible and transparent work culture

·       Fair rewards and ESOPs

Skill: Dellboomi Integration Developer

Work Mode: 6 Months

Location: Gurugram / Hyderabad / Pune / Delhi / Noida

Technical Skills: Dellboomi Integration, Groovy Script, Java Script, ATOM.

Job Description

• Bachelor’s Degree in computer science or relevant degree
• 3-5 years of experience in integration development.
• Experience with modern Groovy Script, JavaScript libraries and frameworks such as XLST.
• Strong communication skills with the ability to effectively interface with clients
• Good business analysis/design skills.
• Excellent time management and organizational skills.
• API / REST / SOAP experience
• Able to work with project management systems and time allocation.
• Good knowledge of Atom Management and Deployment

Designation- Customer Service Representative

Job Location- Kaikondrahalli, Sarjapur Road, Bangalore

Educational & Skill-Set Qualifiers:

Education - Graduation/HSC qualified,

Excellent verbal and written communication skills.

Good Interpersonal skills, and numerical and analytical ability.

Decision-making skills.

Languages -

English & Hindi mandatory, Kannada/Tamil/preferred

6 days a week and the week-off will be on weekdays.

Specific Responsibilities:-

• Handle Inbound and Outbound calling for customer service.
• Identify and assess customers’ needs to achieve satisfaction.
• Build sustainable relationships and trust with customer accounts through open and interactive
•  
• Provide accurate, valid, and complete information by using the right methods/tools.
• Handle customer complaints, provide appropriate solutions and alternatives within the time limits
• Conduct follow-ups to ensure complete resolution of issues.
• Keep records of customer interactions and process customer accounts.
• Follow communication procedures, guidelines, and policies.
• Take the extra mile to engage customers.

Remunerations- Fixed CTC (20k to 27k for 0-4 yrs of exp. respectively ) + 30% incentive

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.

Total Experience: 3 to 15 Years

Notice period: Immediate to 30 Days.

Responsibilities:

Implementation of Manufacturing, Costing, Planning Central, Demand Management, Sales and Operation Planning in Oracle ERP.

Drive requirement gathering, Fit-Gap, Solution Design, Build, CRP, SIT, UAT, Cutover/Go-Live and postproduction support for above applications.

Perform configuration/Application setups.

capturing solution design, configuration, documentation, and post-production support.

Responsible for roll out of all Oracle modules for new State operations.

Training the new users and preparation of user manuals