Systems Engineer

Key Responsibilities

• Assist in the recruitment process, including posting job openings, screening resumes, and scheduling interviews.
• Coordinate candidate communications and maintain recruitment databases.
• Support employee onboarding and orientation activities.
• Maintain and update employee records and HR documentation.
• Assist in organizing employee engagement initiatives, training programs, and company events.
• Prepare HR reports, presentations, and data analysis as required.
• Support payroll, attendance tracking, and leave management processes.
• Respond to employee queries and provide administrative support to the HR team.
• Ensure confidentiality of employee information and compliance with company policies.

Qualifications & Skills

• Currently pursuing or recently completed a Bachelor's/Master's degree in Human Resources, Business Administration, Psychology, or a related field.
• Strong communication and interpersonal skills.
• Excellent organizational and time-management abilities.
• Proficiency in Microsoft Office (Excel, Word, PowerPoint).
• Attention to detail and ability to handle confidential information.
• Basic understanding of HR principles and practices is preferred.
• Ability to work independently and as part of a team.

Learning Opportunities

• Exposure to end-to-end recruitment and talent acquisition processes.
• Experience with HR systems, policies, and employee lifecycle management.
• Participation in employee engagement and organizational development initiatives.
• Development of professional communication, analytical, and administrative skills.

Preferred Attributes

• Positive attitude and eagerness to learn.
• Strong problem-solving skills.
• Ability to multitask in a fast-paced environment.

Stipend/Benefits: [UNPAID]

Working Hours: [9 TO 5]

Start Date: [IMMEDIATE]

Position: Insights Manager

Location: Gurugram (Onsite)

Experience Required: 4+ Years

Working Days: 5 Days (Mon to Fri)

About the Role

We are seeking a hands-on Insights Manager to build the analytical backbone that powers decision-making. This role sits at the centre of the data ecosystem, partnering with Category, Commercial, Marketing, Sourcing, Fulfilment, Product, and Growth teams to translate data into insight, automation, and action.

You will design self-running reporting systems, maintain data quality in collaboration with data engineering, and build analytical models that directly improve pricing, customer experience, and operational efficiency. The role requires strong e-commerce domain understanding and the ability to move from data to decisions with speed and precision.

Key Responsibilities

1. Data Platform & Governance

• Partner with data engineering to ensure clean and reliable data across Shopify, GA4, Ad platforms, CRM, and ERP systems
• Define and maintain KPI frameworks (ATC, CVR, AOV, Repeat Rate, Refunds, LTV, CAC, etc.)
• Oversee pipeline monitoring, QA checks, and metric documentation

2. Reporting, Dashboards & Automation

• Build automated datamarts and dashboards for business teams
• Integrate APIs and automate data flows across multiple sources
• Create actionable visual stories and executive summaries
• Use AI and automation tools to improve insight delivery speed

3. Decision Models & Applied Analytics

• Build models for pricing, discounting, customer segmentation, inventory planning, delivery SLAs, and recommendations
• Translate analytics outputs into actionable playbooks for internal teams

4. Insights & Actionability

• Diagnose performance shifts and identify root causes
• Deliver weekly and monthly insight-driven recommendations
• Improve decision-making speed and quality across functions

Qualifications & Experience

• 4–7 years of experience in analytics or product insights (e-commerce / D2C / retail)
• Strong SQL and Python skills
• Hands-on experience with GA4, GTM, and dashboarding tools (Looker / Tableau / Power BI)
• Familiarity with CRM platforms like Klaviyo, WebEngage, or MoEngage
• Strong understanding of e-commerce KPIs and customer metrics
• Ability to communicate insights clearly to non-technical stakeholders

What We Offer

• Greenfield opportunity to build the data & insights platform from scratch
• High business impact across multiple functions
• End-to-end exposure from analytics to automation and applied modelling
• Fast-paced, transparent, and collaborative work culture

Location: [Remote / Bengaluru / Mumbai]

🕐 Type: Full-time

🧪 Note: This is a test job post for internal purposes only. Please do not apply.

About the Role:

We are looking for a Product Manager to help drive strategy, execution, and delivery for our core platform. You will work cross-functionally with Engineering, Design, Data, and Business teams to build features that solve real customer problems and move key product metrics.

⚠️ Important: This is a dummy job post for testing our job publishing flow and internal integrations. No applications will be reviewed.

Key Responsibilities:

• Define product vision, roadmap, and success metrics.
• Collaborate with design and engineering to ship high-quality features.
• Conduct user research and competitor analysis to inform product direction.
• Drive go-to-market strategies in coordination with sales and marketing.
• Analyze product performance and iterate rapidly based on insights.

Ideal Candidate Has:

• 2–5 years of experience in Product Management, preferably in SaaS or Consumer Tech.
• Strong analytical, communication, and project management skills.
• Experience working with cross-functional agile teams.
• A passion for building impactful products.

Perks (If This Were Real 😉):

• Flexible work hours
• Learning & development budget
• Wellness allowance
• Competitive compensation

Key Responsibilities

🖥️ Frontend (Angular)

• Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
• Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
• Build PDF report previews, filtering tools, and real-time updates.

🔙 Backend (Python/FastAPI)

• Design and implement APIs for user management, assessments, intervention logs, and reports.
• Integrate scoring logic and data aggregation for AI insights.
• Implement secure role-based access (admin, educator, parent).

🛠️ DevOps / Systems

• Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
• Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
• Optimize performance and ensure data security (GDPR-aligned).