Receptionist

Ideal Candidate

6+ years of experience selling B2B SaaS to US customers

Prior success as one of the first AEs at a startup; comfortable working in a fast-paced, early stage startup environment

Track record of consistently beating your quota

Solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early stage setup

Strong project management skills and proactiveness, given the long sales cycle and pilot (free trials) heavy nature of deals.

Strong first principles understanding of business fundamentals; Ability to understand the product at a granular level; Ability to empathise with the end user, and understand their pain points

Strong first principles understanding of different stages of the sales funnel, and experience with good CRM hygiene

Strong first principles understanding of sales processes e.g. MEDDPICC

Willingness to get your hands dirty and do the grunt work in the early days.

MANDATORY - Willing to work in the US time zone (~4 am IST) on weekdays (Mon-Fri) because the majority of our clients are based in the US. You have flexibility on when you want to start your day in the afternoon (IST), or take breaks (e.g. family time, gym etc). This role will require you to stretch outside your comfort zone.

Excellent written and oral communication skills

Ability to build, manage and motivate a team

Self driven individual with high ownership and strong work ethic

Previous entrepreneurial experience is a huge plus

Experience catering to CFO persona is a plus

Familiarity with billing systems, CPQ and accounting systems is a plus

Not taking yourself too seriously.

Job Title : Data Scientist – NLP & LLM

Experience Required : 4 to 5+ Years

Location : Gurugram

Notice Period : Immediate Joiner Preferred

Employment Type : Full-Time

Job Summary :

We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.

Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python

Key Responsibilities :

• Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
• Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
• Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
• Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
• Perform data preprocessing, feature extraction, and training pipeline development.
• Evaluate model performance and iterate with scalable solutions.
• Collaborate with engineering and product teams to integrate models into production.

Required Skills :

• 4 to 5+ years of hands-on experience in Data Science and NLP.
• Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
• Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
• Familiarity with prompt engineering and fine-tuning LLMs is a plus.
• Excellent problem-solving and communication skills.

Position: Senior SEO Executive

Location: Gurugram

Employment Type: Full-time

Company Name- Junipero IT Solution

Roles & Responsibilities:

● Develop and implement advanced SEO strategies (On-page, Off-page, Technical SEO).

● Perform keyword research and competitor analysis.

● Handle website audits and technical issue resolution.

● Improve website ranking, traffic, and conversion performance.

● Manage backlink strategy and high-quality link building.

● Work closely with content, design, and development teams.

● Track and report SEO performance using tools like Google Analytics, Search Console,

SEMrush, Ahrefs, etc.

● Lead and guide junior SEO team members.

Required Skills:

● Strong knowledge of Google algorithms and ranking factors.

● Experience in technical SEO and website optimization.

● Hands-on experience with SEO tools.

● Understanding of WordPress and basic HTML knowledge preferred.

● Strong analytical and problem-sol

Key Responsibilities

Campaign Management

• Design/optimize LinkedIn ad campaigns for B2B tech lead gen, managing budgets up to $100K+.
• Develop audience strategies (job titles, company size, industry) and refine via performance analysis.
• Execute manual bids, retargeting, and A/B tests across formats (Sponsored Content, InMail, Text Ads).

Audience & Data

• Build custom audiences using client CRM/data and implement exclusion rules.
• Track lead quality and align targeting with sales pipelines.

Performance & Reporting

• Deliver client reports tying metrics (CTAs, conversions) to business goals.
• Collaborate with Google Ads teams for cross-platform attribution.

Technical Setup

• Implement LinkedIn Insight Tag, CRM integrations, and conversion tracking.

Requirements

• 2–3 years agency experience managing LinkedIn Ads for B2B / B2B SaaS clients.
• Proven skill in scaling budgets, manual bidding, and CRM integration.
• Strong analytics and ability to present data-driven insights to clients.
• Experience working with teams from Google Ads, SEO, or marketing automation.
• Knowledge of B2B sales cycles.

Why Join?

Drive measurable ROI for tech innovators and master LinkedIn’s evolving B2B ad ecosystem in a data-first environment.

What we offer:

• CTC: 7 LPA - 9 LPA
• Hybrid
• Health insurance
• Growth opportunities working directly with founders with backgrounds in Investment Banking, B2B SaaS leadership, and IIT/ISB education

If you're detail-oriented, results-driven, and excel at client management, we want to hear from you

• Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
  • programmatically ingesting data from several static and real-time sources (incl. web scraping)
  • rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
  • performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment

• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Ensure data architecture is secure and compliant
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).

•  Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
• Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
• Expert in shell scripting and writing schedulers
• Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
• Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
• Strong knowledge of data security best practices
• 5+ years experience in a data engineering role
• Science / Engineering graduate from a Tier-1 university in the country
• And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep