Project Manager / Quality Analyst

6 to 12 years of HR experience covering both strategic and operational HR

Proven experience scaling HR for multi-location / multi-state teams in fast-paced environments

End-to-end recruitment ownership (full-time, contractual, campus, interns)

Hands-on expertise in PMS (goal setting, performance reviews, feedback cycles)

Experience managing HR operations (onboarding, exits, payroll coordination, vendors)

Proficiency in HRIS/ATS, HR digitisation & people analytics/reporting

Strong stakeholder management, communication & leadership partnering

Bachelor’s degree in HR / Business / Psychology (MBA preferred)

Fluency in English & Hindi and willingness to travel

Full Stack Engineer

Location: Bangalore

Type: Full-time

Experience: 3-8 years

Our Vision

At Featurely AI, we’re pioneering human behavior simulation, with backing from leading venture capital

firms across Silicon Valley and India. Our leadership team includes veterans from Silicon Valley's most

prestigious tech companies (Nvidia, Google, Meta, Dropbox, Twilio, Amazon, Yahoo!), bringing decades

of combined experience in creating world-changing products.

Why Join Us Now

This is a rare ground-floor opportunity to help shape revolutionary AI technology with exponential

growth potential. We're not just building another app—we're developing solutions that will

fundamentally transform how products evolve.

The Role & Impact

As our Full Stack Engineer, you'll have outsized influence on our core product during this critical growth

phase. You'll collaborate directly with our leadership team to architect and implement solutions that

millions will eventually use. Your code will define the foundation of what we're building.

What You'll Do

• Drive end-to-end development of breakthrough AI-powered features

• Design elegant, scalable solutions across our entire technology stack

• Shape our engineering culture and technical decision-making

• Work at the intersection of cutting-edge AI research and production systems

• Build systems that will scale to support millions of users

What You Bring

• 3+ years of exceptional full-stack engineering experience

• Mastery of modern web frameworks and development practices

• Track record of shipping high-quality, production-ready code

• Strong problem-solving abilities and attention to detail

• Self-direction and comfort with startup ambiguity

Why People Join Us

• Elite Backing: Funded by premier venture capital firms with track records of identifying category

defining companies

• Exponential Growth: Join at the perfect moment—established enough to be stable, early

enough for significant equity upside

• Technology Leadership: Work with futuristic AI technology years ahead of the market

• Exceptional Team: Collaborate with leaders from Silicon Valley's most innovative companies• Competitive Compensation: Top-of-market salary, generous equity, and comprehensive benefits

• Work That Matters: Build technology that meaningfully improve how products evolve and adapt.

We're selective about who joins our team, but we move quickly for exceptional talent. If you're ready to

be challenged and do the best work of your career, we should talk.

💯What will you do?

• Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
• Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
• Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
• Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
• Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
• Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
• Train the TAs to take the doubt sessions and for project evaluations

💯Who are we looking for?

We are looking for someone who has:

• A minimum of 1-2 years of industry work experience in data science or a related field. Teaching experience is a plus.
• In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
• Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai, etc.
• Passion for teaching and a desire to impart practical knowledge to students.
• Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
• Experience with curriculum development, lesson planning, and instructional design is a plus.
• Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.

💯What do we offer in return?

• Awesome colleagues & a great work environment - Internshala is known for its culture (see for yourself) and has twice been recognized as a Great Place To Work in the last 3 years
• A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
• Competitive remuneration

💰 Compensation - Competitive remuneration based on your experience and skills

📅 Start date - Immediately

Job Title: SMO Executive

Job Summary:

The SMO Executive is responsible for developing and executing social media optimization strategies to enhance the brand’s online presence, increase audience engagement, and drive traffic to the company’s digital platforms. This role involves content creation, platform management, performance analysis, and continuous improvement of social media campaigns.

Key Responsibilities:

• Social Media Strategy Development:
• Design and implement effective SMO strategies tailored to various social platforms.
• Stay updated with the latest social media trends, algorithm updates, and best practices.
• Content Creation & Management:
• Create engaging content (text, images, video) that aligns with the brand’s voice and objectives.
• Plan and schedule posts using social media management tools to ensure timely and consistent communication.
• Community Engagement:
• Monitor social media channels, respond to comments, messages, and reviews in a timely manner.
• Foster and maintain active relationships with the online community and influencers.
• Campaign Management & Optimization:
• Launch, manage, and optimize social media campaigns to drive engagement and conversions.
• Collaborate with the digital marketing team to integrate SMO efforts with overall marketing strategies.
• Analytics & Reporting:
• Track and analyze key performance indicators (KPIs) such as reach, engagement, traffic, and conversion rates.
• Prepare regular reports with insights and actionable recommendations for continuous improvement.
• Brand Monitoring:
• Ensure all social media content maintains brand consistency and complies with industry guidelines.
• Monitor competitors and industry trends to identify new opportunities.

Skills & Qualifications:

• Bachelor’s degree in Marketing, Communications, or a related field.
• Proven experience in social media management and optimization.
• Strong understanding of social media platforms (Facebook, Twitter, LinkedIn, Instagram, etc.) and their respective audiences.
• Excellent written and verbal communication skills.
• Proficiency in using social media management and analytics tools (e.g., Hootsuite, Buffer, Google Analytics).
• Creative mindset with a keen eye for design and content quality.
• Ability to analyze data and derive actionable insights.
• Strong organizational skills and the ability to manage multiple projects simultaneously.

Preferred Qualifications:

• Experience with paid social media advertising.
• Knowledge of SEO and its interplay with SMO.
• Basic graphic design skills and familiarity with design tools such as Adobe Creative Suite.

Responsibilities:

1.     Sales Generation:

·       Identify and prospect potential clients to generate new business opportunities.

·       Conduct effective sales presentations and product demonstrations to showcase the value proposition of our offerings.

·       Collaborate with the sales team to develop and implement sales strategies to achieve revenue targets.

·       Follow up with leads and coordinate the entire sales cycle from initial contact to closing deals.

2.     Client Relationship Management (only for Senior Associate):

·       Build and maintain strong relationships with clients by understanding their needs and providing tailored solutions.

·       Provide exceptional customer service and address client inquiries and concerns promptly and professionally.

·       Conduct regular client follow-ups to ensure client satisfaction and identify opportunities for upselling or cross-selling.

3.     Market Analysis (only for Senior Associate):

·       Stay updated on industry trends, market conditions, and competitor activities.

·       Conduct market analysis to identify potential business opportunities and target markets.

·       Gather customer feedback and market insights to contribute to product and service enhancements.

4.     Sales Administration:

·       Maintain accurate and up-to-date sales records, including customer profiles, sales activities, and pipeline management.

·       Prepare sales reports and forecasts for management review.

·       Collaborate with the sales team and other departments to streamline processes and improve sales effectiveness.

Qualifications and Skills:

·       Bachelor's degree in Business, Marketing, or a related field.

·       Proven track record of 1-3 years in sales or business development roles for an associate and 4-6 years in sales and business development roles for a senior associate, preferably in a B2B environment.

·       Relevant experience like training Industry, HR consultancy, etc

·       Strong negotiation and persuasion skills with the ability to close deals.

·       Excellent communication and presentation skills, both verbal and written.

·       Self-motivated and target-driven, with a demonstrated ability to work in a fast-paced sales environment.

·       Strong interpersonal skills with the ability to build rapport and establish long-term client relationships.

Benefits:

·       Opportunities for career growth and professional development.

·       Collaborative and supportive work environment.

·       Ongoing training and skill development programs.

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

Job Description:

As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.

Responsibilities:

• Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
• Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
• Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
• Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
• Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.

Qualifications:

• BE Computer Science or a related field.
• ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
• Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Proficiency in DBT (Data Build Tool) for data transformation and modelling.
• Experience working with any Master Data Management (MDM) tools.
• Experience with data governance and metadata management tools such as Azure Purview or similar.
• Proficiency in programming languages such as Python, Scala, or Java.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Strong leadership skills with the ability to lead and mentor a team of engineers.