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OnsiteMid Levelwed-tech

Photography Consultant & Creative Director

MeragiBengaluru, Karnataka, IndiaPosted 19 May 2026

Meragi is a wedding-tech startup looking for a creative and organized professional to manage end-to-end photography and film projects. The role involves client consultation, project coordination, and creative direction to ensure premium execution. Candidates will bridge the gap between creative teams and clients while ensuring timely project delivery. This is a hybrid role requiring strong communication skills and operational proficiency.

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Experience

2-5 years

Function

Arts and Design

Work mode

Onsite, India

Company

Tier 2

What you will work on

Meragi is a wedding-tech startup looking for a creative and organized professional to manage end-to-end photography and film projects. The role involves client consultation, project coordination, and creative direction to ensure premium execution. Candidates will bridge the gap between creative teams and clients while ensuring timely project delivery. This is a hybrid role requiring strong communication skills and operational proficiency.

TAL's take

Quality 58/1005/5 clarityTier 2 company

Solid tier-2 startup role with clear operational and creative scope in a defined industry niche.

Highly descriptive JD with well-defined responsibilities, expectations, and team interactions.

Salaries at Meragi

17.1 LPA average

Based on 4 Grapevine salary entries for Meragi.

View all salaries

Operations

2 - 4 years

6 LPA average

Range: 6 - 6 LPA

Engineering

2 - 4 years

22 LPA average

Range: 22 - 22 LPA

Other roles

4 - 6 years

23 LPA average

Range: 23 - 23 LPA

Other roles

8 - 10 years

17 LPA average

Range: 17 - 17 LPA

Must haves

  • 2-5 years experience in wedding photography or event management
  • Strong communication skills in English
  • Excellent client handling and presentation abilities
  • Strong organizational and multitasking skills
  • Creative understanding of wedding storytelling and aesthetics
  • Proficiency in Google Workspace and Excel/Sheets

Tools and skills

google workspaceexcelsheetswhatsapp business

Nice to have: project tracking tools.

About the company

Rapidly growing startup in the wedding-tech space with institutional backing.

Posts mentioning Meragi

Title: Data Scientist (~2 YOE) – Built planning tools, pipelines, and AI system. Need honest feedback on profile.

Hi all, Looking for practical feedback on my profile before I start applying. I’ll keep this structured so it’s easier to evaluate. --- 1) Planning Tools / Web Applications Problem: Forecasting workflows were fragmented and heavily Excel-driven: - Multiple data sources (orders, shipments, different forecast versions) - Manual merging, lookups, and adjustments - No way to simulate scenarios or compare forecasts cleanly - Different planners using different methods → inconsistency What I built: - Two internal applications for planning workflows: - A planning tool integrating 8+ data sources - A forecasting simulator supporting multi-level editing (high → granular) Key capabilities: - Real-time scenario simulation - Side-by-side comparison of multiple forecast types - Hierarchical adjustments across levels - SQL write-back for persistence Scale: - Processes ~150K+ records per cycle - Used in monthly planning cycles by multiple teams Impact: - Removed fragmented Excel workflows - Enabled consistent decision-making across users - Reduced manual effort and improved visibility into forecast behavior --- 2) Automation & Data Pipelines Problem: Core workflows were manual and repetitive: - Multi-file Excel processing - Data cleaning + merging across systems - Version tracking errors - High effort per cycle (1–4 hours depending on workflow) What I built: - Multiple pipelines automating end-to-end workflows Examples: - Large-scale consolidation pipeline: - Input: ~1M+ rows across 20+ files - Output: clean, unified dataset (~75% reduction) - 2nd pipeline: - Replaced a 23-step manual process - Standardized inconsistent formats across datasets - 3rd automation processing: - Automated unpivoting, enrichment, and version tracking Impact: - Reduced processing time from hours → minutes per cycle - Eliminated manual errors (copy-paste, lookup mistakes) - Standardized workflows across users --- 3) Power BI / Monitoring Problem: Recent data (orders/shipments) showed inconsistencies, but: - No visibility into changes over time - Hard to identify where data drift was happening What I built: - Power BI dashboards with: - Hierarchical filters - Drill-down views - Month-over-month comparison Scale: - ~30K+ records analyzed Impact: - Enabled early detection of data inconsistencies - Helped planners validate inputs before forecasting - Improved trust in upstream data --- 4) Side Project (AI System) What I built: - AI-powered job assistant system Features: - Scrapes job postings - Scores relevance using LLMs - Generates tailored resume points and outreach messages - Tracks applications Tech: - FastAPI backend - LLM routing (cloud + local fallback) - SQLite storage Goal: - Build a system-driven workflow (not just model usage) --- My concern Most of my work sits at the intersection of: - forecasting - data systems - workflow automation I’m trying to move into: 👉 Applied Data Scientist / Product-oriented roles --- Questions 1. Does this profile look too niche (forecasting-heavy)? 2. Does “building systems around data” help or hurt for DS roles? 3. What’s the biggest gap you see (if any)? Would really appreciate honest feedback. Thanks.

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