Product Manager Argus

Innefu Labs Limited; Delhi; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Innefu Labs Limited seeks a Technical Product Manager for Digital Forensics to own strategy, roadmap, and execution of its forensic product line, bridging law enforcement needs with technical development and legal defensibility.

The role concentrates on end-to-end lifecycle management including evidence acquisition, preservation, analysis, and reporting, with a strong emphasis on integrity and defensibility in court. Strict onsite Delhi-based work culture is expected.

Qualifications

• 8+ years total experience in software/product management.
• 3+ years of hands-on experience in digital forensics, cybersecurity, or DFIR.
• Government, law enforcement, or intelligence experience is strongly preferred.

Responsibilities

• Own end-to-end product roadmap across Mobile Device, Computer/Disk, Network, Cloud, Memory/RAM, Social Media & OSINT, Dark Web, and IoT & Drone forensics.
• Lead Agile/Scrum ceremonies with engineering, QA, and DevOps; maintain prioritized backlog with acceptance criteria.
• Establish market and competitive analyses to identify white space for Indian and emerging-market forensics markets.

Skills

Agile / Scrum

Product Management

DFIR

Education

Bachelor’s degree in computer science, IT, Electronics & Communication, Cybersecurity, or a related technical discipline

Master's degree or MBA in Technology Management, Cybersecurity, or Product Management

Job description

ABOUTINNEFU LABS

InnefuLabs Limited, founded in 2010, is an AI-driven R&D company providingcutting-edge Data Analytics and Information Security solutions. The company wasstarted with a clear focus on high-tech R&D that fuels innovation and leadsto products which can capture the global market and become a cornerstone of thecountry’s economy.

Withmore than 100+ installations across the Indian Subcontinent, Middle East, andSoutheast Asia, the company is today a de-facto leader in developing anddeploying AI for National and Cyber Security.

Thecompany’s own range of products serves a diverse client base including Defenseand Intelligence organizations, Law Enforcement Agencies, FinancialIntelligence Units, BFSI, as well as top Fortune 500 companies.

Havingworked with some of the most sensitive organizations, the company has a deepunderstanding of handling sensitive and critical installations, with a clearfocus on developing state-of-the-art products oriented towards solvingreal-world problems for our clients with exemplary support and 100% customersatisfaction.

ABOUTTHE ROLE

The TechnicalProduct Manager – Digital Forensics will own the strategy, roadmap, andexecution of Innefu Labs' digital forensics product line, working at theintersection of law enforcement operations, forensic science, and technology —translating complex investigative needs into powerful, court-admissibleforensic tools. This requires understanding the full forensic lifecycle, fromevidence acquisition and preservation through analysis, correlation, andreporting, and ensuring the product supports each stage with precision,integrity, and legal defensibility.

LOCATION & WORK MODEL

Location

Work Model

Strictly onsite — 5 days/week from the Delhioffice

Travel

~15–20%, to forensic labs, cyber cells, andagency HQs across India

Note

Given the classified, sensitive nature ofthe work, remote or hybrid arrangements are not available.

KEYRESPONSIBILITIES

• Own the end-to-end product roadmap acrossMobile Device, Computer/Disk, Network, Cloud, Memory/RAM, Social Media &OSINT, Dark Web, and IoT & Drone forensics.
• Conduct market and competitive analysisagainst leading global platforms — Cellebrite UFED, Oxygen Forensics, MagnetAXIOM, EnCase, FTK, X-Ways Forensics, and MSAB XRY — to identify white space inIndian and emerging-market law enforcement forensics.
• Develop a 3–5 year product vision aligned withcompany growth and evolving agency requirements; prioritize based oninvestigative impact, legal admissibility, technical feasibility, and clienturgency.
• Establish a structured build-vs-buy-vs-partnerframework for evaluating new capabilities.

Stakeholder Management

• Serve as primary product liaison with forensiclabs, cyber cells, and investigative agencies, translating casework workflowsinto product features.
• Collaborate with Legal & Compliance toensure outputs meet evidentiary standards; partner with Sales, Pre-Sales, andBD on RFP responses, demos, and POC deployments.
• Present roadmap and release plans to CXOleadership and senior government client stakeholders.

Technical Ownership

• Write technically precise PRDs, functionalspecs, system design documents, and user stories that leave no room forambiguity in engineering execution.
• 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)
• App-level forensics — UPI apps, banking apps,crypto wallets, social media apps
• Define integration requirements for forensichardware (write blockers, JTAG/ISP, EDL tools, Faraday bags), externaldatabases (CCTNS, NAFIS, NCRB, Interpol), Argus correlation modules, and CourtManagement Systems.
• Own API design, data schemas, and cross-moduledata exchange standards; maintain product architecture documentation for scale.

Execution & Delivery

• Lead Agile/Scrum ceremonies — sprint planning,backlog grooming, reviews, retrospectives — with engineering, QA, and DevOps.
• Maintain a well-prioritized backlog withdetailed acceptance criteria for every story.
• Track KPIs: extraction success rate bydevice/OS, processing speed for disk images and mobile dumps, artifact recoveryaccuracy, report generation time and format compliance, and systemstability/uptime.
• Manage UAT and field trials with examiners atagency locations; resolve critical issues before production deployment.
• Coordinate releases, patch management, andversion control aligned to agency deployment schedules; maintain a continuouslyupdated device compatibility matrix.

AI & Automation in Forensics

• Partner with Data Science and AI/ML teams tobuild:
  • Automated timeline reconstruction acrossfragmented digital artifacts
  • NLP-based chat/document analysis across Indianlanguages (Hindi, Tamil, Telugu, Bengali, Urdu, Marathi, etc.) and social mediavernacular
  • Image and video classification — CSAM,extremist content, narcotics imagery, counterfeit documents
  • Malware identification and behaviouralanalysis from memory dumps and disk images
  • Voice and audio forensics — speakeridentification, transcription, language detection
  • Predictive linking to known criminal profilesand historical case data in Argus
  • Automated draft report generation withexaminer review workflows
• Define model accuracy benchmarks andhuman-verification thresholds before AI-generated insights are used ininvestigation or court; ensure all outputs remain explainable, auditable, andlegally defensible.

Compliance, Chain of Custody& Legal Integrity

• Enforce unbreakable chain of custody:tamper-evident action logging, cryptographic hashing (MD5 + SHA-256) at everystage, immutable append-only audit trails exportable in court-accepted formats,and role-based access control.
• Ensure write-protection enforcement duringacquisition workflows to prevent evidence contamination.
• Design court-admissible reports with examinercredentials/digital signature, tool name/version/build, stage-wise hash values,methodology documentation, and timestamps/system logs.
• Track Indian digital evidence law (BSA 2023,BNSS 2023, DPDPA 2023) and international standards (ISO/IEC 27037/27041/27042,ACPO Guidelines, NIST SP 800-86); support certifications such as NIST CFTT,STQC, and agency-mandated accreditation.

Go-to-Market & ClientEnablement

• Own product positioning and messaging forgovernment buyers and procurement committees.
• Produce user manuals, administrator guides,forensic methodology handbooks, and quick-start guides.
• Design and deliver training and certificationprograms for forensic examiners and investigators.
• Support pilot deployments and POCs; gatherstructured post-deployment feedback and translate it into roadmap input.
• Represent Innefu Labs at forensic conferencesand government expos as a subject matter expert.

REQUIREDQUALIFICATIONS

Education

• Bachelor’s degree in computer science, IT,Electronics & Communication, Cybersecurity, or a related technicaldiscipline (mandatory).
• Master's degree or MBA in TechnologyManagement, Cybersecurity, or Product Management strongly preferred.

Experience

• 8+ years total experience, including 4+ yearsin a product management role for a technical, data-intensive, or enterprisesoftware product, and 3+ years of hands-on experience or deep domain exposurein digital forensics, cybersecurity, or DFIR.
• Prior experience with government, lawenforcement, forensic lab, or intelligence agency products strongly preferred.
• Track record delivering complex, multi-moduleenterprise software from concept to deployment.
• Government procurement experience — RFP/RFIresponse, technical evaluation, GeM platform — is a strong advantage.

Technical Skills

• Engineering & Architecture: Big Data pipelines and distributed processing for multi-terabyteforensic datasets; REST APIs, microservices, and system integration patterns;SQL/NoSQL/graph databases (Neo4j) for artifact correlation; MITRE ATT&CK,Cyber Kill Chain, STIX/TAXII; CI/CD and DevSecOps practices.
• Product Management: Expert Agile/Scrum practice (Jira, Confluence); strongPRD/BRD/technical spec and user-story documentation; product analytics andtelemetry; executive-level roadmaps and ROI justification.

Soft Skills

• Exceptional communication — able to presentcomplex forensic and technical concepts to non-technical government officials,judges, and procurement committees.
• Strong analytical and problem-solving mindsetwith data-driven decision-making.
• Highest levels of integrity and discretionhandling classified, sensitive, and legally privileged information.
• Leadership and influence without authorityacross cross-functional teams.
• Thrives under pressure in high-stakes,deadline-driven environments where errors carry real-world consequences.

Requirements

REQUIREDQUALIFICATIONS

Education

• Bachelor’s degree in computer science, IT,Electronics & Communication, Cybersecurity, or a related technicaldiscipline (mandatory).
• Master's degree or MBA in TechnologyManagement, Cybersecurity, or Product Management strongly preferred.

Experience

• 8+ years total experience, including 4+ yearsin a product management role for a technical, data-intensive, or enterprisesoftware product, and 3+ years of hands-on experience or deep domain exposurein digital forensics, cybersecurity, or DFIR.
• Prior experience with government, lawenforcement, forensic lab, or intelligence agency products strongly preferred.
• Track record delivering complex, multi-moduleenterprise software from concept to deployment.
• Government procurement experience — RFP/RFIresponse, technical evaluation, GeM platform — is a strong advantage.

Technical Skills

• Engineering & Architecture: Big Data pipelines and distributed processing for multi-terabyteforensic datasets; REST APIs, microservices, and system integration patterns;SQL/NoSQL/graph databases (Neo4j) for artifact correlation; MITRE ATT&CK,Cyber Kill Chain, STIX/TAXII; CI/CD and DevSecOps practices.
• Product Management: Expert Agile/Scrum practice (Jira, Confluence); strongPRD/BRD/technical spec and user-story documentation; product analytics andtelemetry; executive-level roadmaps and ROI justification.

Soft Skills

• Exceptional communication — able to presentcomplex forensic and technical concepts to non-technical government officials,judges, and procurement committees.
• Strong analytical and problem-solving mindsetwith data-driven decision-making.
• Highest levels of integrity and discretionhandling classified, sensitive, and legally privileged information.
• Leadership and influence without authorityacross cross-functional teams.
• Thrives under pressure in high-stakes,deadline-driven environments where errors carry real-world consequences.