Product Manager ARGUS - Innefu Labs, New Delhi, India. Onsite, Full-Time.

Job Summary

The Technical Product Manager Digital Forensics will own the strategy, roadmap, and execution of Innefu Labs digital forensics product line, working at the intersection of law enforcement operations, forensic science, and technology translating complex investigative needs into powerful, court-admissible forensic tools. This requires understanding the full forensic lifecycle, from evidence acquisition and preservation through analysis, correlation, and reporting, and ensuring the product supports each stage with precision, integrity, and legal defensibility.

Location & Work Model

Location: New Delhi, India Work Model: Strictly onsite 5 days/week from the Delhi office

Travel: ~1520%, to forensic labs, cyber cells, and agency HQs across India

Note: Given the classified, sensitive nature of the work, remote or hybrid arrangements are not available.

Key Responsibilities

- Own the end-to-end product roadmap across Mobile Device, Computer/Disk, Network, Cloud, Memory/RAM, Social Media & OSINT, Dark Web, and IoT & Drone forensics.
- Conduct market and competitive analysis against leading global platforms Cellebrite UFED, Oxygen Forensics, Magnet AXIOM, EnCase, FTK, X-Ways Forensics, and MSAB XRY to identify white space in Indian and emerging-market law enforcement forensics.
- Develop a 35 year product vision aligned with company growth and evolving agency requirements; prioritize based on investigative impact, legal admissibility, technical feasibility, and client urgency.
- Establish a structured build-vs-buy-vs-partner framework for evaluating recent capabilities.
- Serve as primary product liaison with forensic labs, cyber cells, and investigative agencies,



translating casework workflows into product features.
- Collaborate with Legal & Compliance to ensure outputs meet evidentiary standards; partner with Sales, Pre-Sales, and BD on RFP responses, demos, and POC deployments.
- Present roadmap and release plans to CXO leadership and senior government client stakeholders.
- Write technically precise PRDs, functional specs, system design documents, and user stories that leave no room for ambiguity in engineering execution.
- Maintain deep working knowledge across: File system forensics NTFS, FAT32, exFAT, ext4, APFS, HFS+, YAFFS2
- Mobile OS forensics iOS (Secure Enclave, keychain) and Android (FBE/FDE, Keystore); extraction methods spanning logical, file system, physical, chip-off, EDL, and JTAG/ISP
- Forensic image formats E01, AFF4, DD/RAW, UFDR
- Hash verification & chain of custody MD5, SHA-1, SHA-256
- Encryption challenges BitLocker, FileVault, LUKS, VeraCrypt, and E2E messaging (WhatsApp, Signal, Telegram)
- Artifact analysis browser history, SQLite databases, chat logs, email archives, deleted files, metadata, registry hives, plist files, event logs
- App-level forensics UPI apps, banking apps, crypto wallets, social media apps
- Define integration requirements for forensic hardware (write blockers, JTAG/ISP, EDL tools, Faraday bags), external databases (CCTNS, NAFIS, NCRB, Interpol), Argus correlation modules, and Court Management Systems.




- Own API design, data schemas, and cross-module data exchange standards; maintain product architecture documentation for scale.
- Lead Agile/Scrum ceremonies sprint planning, backlog grooming, reviews, retrospectives with engineering, QA, and DevOps.
- Maintain a well-prioritized backlog with detailed acceptance criteria for every story.
- Track KPIs: extraction success rate by device/OS, processing speed for disk images and mobile dumps, artifact recovery accuracy, report generation time and format compliance, and system stability/uptime.
- Manage UAT and field trials with examiners at agency locations; resolve critical issues before production deployment.
- Coordinate releases, patch management, and version control aligned to agency deployment schedules; maintain a continuously updated device compatibility matrix.
- AI-powered artifact prioritization for case-relevant evidence
- Automated timeline reconstruction across fragmented digital artifacts
- NLP-based chat/document analysis across Indian languages (Hindi, Tamil, Telugu, Bengali, Urdu, Marathi, etc.) and social media vernacular
- Image and video classification CSAM, extremist content, narcotics imagery, counterfeit documents
- Malware identification and behavioural analysis from memory dumps and disk images
- Voice and audio forensics speaker identification, transcription, language detection
- Predictive linking to known criminal profiles and historical case.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Product Manager Argus (New Delhi)
🏢 Innefu Labs
📍 New Delhi