Position: L&D Specialist (Enterprise AI Solutions)
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 3+ years in Learning & Development, Training Design, or Corporate Training
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms for multiple industries to drive efficiency, insight, and compliance. Our solutions support complex workflows across finance, insurance, and operations by automating data extraction, analysis, and real-time intelligence delivery.
We are looking for a Learning and Development Specialist to design and implement training programs that upskill our teams and clients on AI-powered products, solutions, and industry workflows. You will play a key role in shaping learning content, certification modules, and continuous education programs that ensure adoption and success.
Role Overview
As a Learning and Development Specialist, you will design, deliver, and evaluate learning initiatives across technical, product, and soft-skill areas. You will collaborate closely with product managers, subject matter experts, and client success teams to build engaging training content, structured courses, and certification pathways. Your work will directly contribute to the readiness of employees, partners, and clients in adopting our enterprise AI solutions.
Key Responsibilities
Learning Strategy and Design
Translate organizational needs into clear training roadmaps and learning outcomes.Develop structured training modules (video, slide-based, interactive, or blended formats).Design certification programs for employees, partners, and clients on enterprise AI use cases.Content Development and Delivery
Create engaging training materials, including manuals, e-learning modules, job aids, and assessments.Leverage modern instructional design methods (microlearning, gamification, scenario-based learning).Deliver live workshops, virtual training sessions, and webinars.Evaluation and Analytics
Establish feedback loops and KPIs to measure learning effectiveness.Run post-training assessments and performance tracking to identify knowledge gaps.Use learning analytics to continuously improve course design and learner engagement.Knowledge Management and Tools
Maintain an internal knowledge base of training resources, FAQs, and product guides.Manage LMS platforms or course delivery tools for scalability.Ensure compliance with internal standards, data privacy, and certification processes.Cross-Functional Collaboration
Partner with product teams to translate technical features into learner-friendly content.Support sales and client success with onboarding and enablement training.Contribute to thought leadership and marketing by building externally-facing training assets.Required Qualifications and Skills
3+ years of experience in L&D, training design, or corporate training roles.Strong instructional design skills with experience in creating digital and instructor-led content.Proficiency with e-learning tools (e.g., Articulate, Captivate, Camtasia, or similar).Comfort with LMS platforms, webinars, and digital course delivery methods.Excellent facilitation, presentation, and communication skills.Ability to simplify technical/AI concepts into accessible learning material.Tools Familiarity
Google Suite, Learning Management Systems (e.g., Moodle, LearnDash), Articulate 360 or Captivate, Canva or similar design tools, and webinar platforms (Zoom, MS Teams).Preferred
Experience in BFSI, enterprise AI, or SaaS environments.Exposure to certification program design and global learner enablement.Familiarity with ROI/TCO modeling, compliance training, or regulated industry upskilling.Basic knowledge of data workflows, AI concepts, or product enablement.Our Ideal Candidate
Has a learner-first mindset and is passionate about building scalable knowledge ecosystems.Enjoys translating technical material into engaging, interactive formats.Balances creativity with structure to design measurable and effective learning outcomes.Thrives in cross-functional teams and adapts quickly to evolving product roadmaps.Tip for candidates
If this role excites you, follow our page to stay updated on more career opportunities.
Read LessPosition: Research Assistant (Enterprise AI & BFSI)
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 2+ years in Research, Data Analysis, or Market/Technical Research
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI institutions to drive efficiency, insight, and compliance. Our solutions support complex workflows across finance, insurance, and operations by automating data extraction, analysis, and real-time intelligence delivery.
We are looking for a Research Assistant to support product, market, and technical research. You will help gather and analyze information, run structured evaluations, and produce concise briefs that inform product roadmaps, GTM strategy, and client solutions.
Role Overview
As a Research Assistant, you will execute end-to-end research tasks across literature reviews, competitive analysis, dataset preparation, and model evaluation support. You will work closely with product managers, data scientists, solution consultants, and marketing to convert raw findings into clear insights and decision-ready summaries.
Key Responsibilities
Research Planning and Execution
Translate problem statements into research questions, hypotheses, and deliverables.Conduct literature reviews across academic papers, standards, and industry reports.Map competitors and adjacent solutions with feature matrices and benchmarks.Data and Analysis
Collect and clean data from trusted sources and public datasets.Run structured analyses in spreadsheets or Python or SQL to validate hypotheses.Assist in evaluation runs for models or prompts or extraction pipelines and summarize results.Documentation and Communication
Produce research briefs, one-pagers, and slide summaries with citations.Maintain research logs, assumptions, and references for auditability.Create visuals such as tables, simple charts, and process diagrams to explain findings.Knowledge Management and Compliance
Curate a searchable knowledge base of papers, links, and internal notes.Track source provenance, licensing, and usage restrictions.Follow privacy, security, and ethical guidelines for data handling.Product and GTM Support
Analyze user pain points, workflows, and industry regulations in BFSI.Support pricing and TCO or ROI models with assumptions and sensitivity checks.Prepare inputs for thought leadership, case studies, and collateral.Required Qualifications and Skills
2+ years of experience in research, analytics, consulting, or a related role.Strong skills in secondary research, note-taking, and citation management.Proficiency with Excel or Google Sheets and comfort with pivot tables and basic formulas.Working knowledge of Python or SQL for basic data wrangling is a plus.Clear writing skills with the ability to produce concise, structured summaries.Familiarity with BFSI concepts or enterprise software ecosystems is a plus.Tools familiarity
Google Suite, Notion or Confluence, Airtable, Jira, and presentation tools.Preferred
Exposure to AI or data workflows such as information extraction, evaluation metrics, or prompt testing.Experience building competitor landscapes and VC funding maps.Basic visualization skills in matplotlib or spreadsheet charts.Understanding of compliance and risk themes relevant to BFSI.Our Ideal Candidate
Is detail-oriented, curious, and methodical in how they validate information.Converts ambiguous asks into a clear plan and timeline.Communicates insights simply and backs them with data and sources.Enjoys collaborating across product, data, and go-to-market teams.Tip for candidates
If this role interests you, follow our page to stay updated on research and product analysis roles and opportunities to work on applied AI for high-impact BFSI use cases.
Read LessPosition: Claims Clerk - Subject Matter Expert (SME)
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 2+ years in insurance/TPA claims operations with SME-level proficiency
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms to drive efficiency, insight, and compliance. Our platforms Collatio , Auriga , and Concentio help insurers and TPAs automate document intake, validation, reconciliation and deliver real-time intelligence.
Role Overview
As a Claims Clerk (SME), you'll be the go-to expert for end-to-end claims administration, standardizing intake, verification, and adjudication preparation while improving accuracy, turnaround time, and audit readiness. You'll translate domain rules into clear SOPs, tagging schemas, and validation checklists that power Scry AI products (Collatio for document intelligence and Auriga for knowledge assistance), and you'll coach the team on best practices.
Key Responsibilities
Operational Excellence & Governance
• Own SOPs, checklists, and quality gates for claims intake, validation, and file preparation.
• Define and maintain rules libraries (coverage, eligibility, deductibles, exclusions) and calculators.
• Run QC audits, measure TAT/accuracy, and drive corrective actions and RCA/postmortems.
Claims Processing (SME Hands-On)
• Review submissions; verify policyholder/provider data, coverage terms, and completeness.
• Extract and validate structured fields (dates, amounts, codes); reconcile discrepancies.
• Prepare adjudication-ready files; raise RFIs and track responses to closure.
AI/Automation Enablement
• Partner with product/data teams to design field taxonomies, label policies, and validation rules.
• Use Collatio to auto-capture claim fields, BOM-like itemizations, and EOB details; validate outputs.
• Curate ground-truth datasets and feedback loops to reduce extraction errors and false positives.
Compliance, Audit & Fraud Vigilance
• Ensure documentation meets regulatory/privacy standards (IRDAI; HIPAA/GDPR as applicable).
• Maintain audit trails, revision histories, and communication records.
• Identify fraud/abuse indicators; escalate and document investigative notes.
Knowledge & Training
• Create playbooks, macros/templates, and FAQ articles for Auriga knowledge base.
• Deliver training, shadowing, and certification paths for clerks/new hires.
• Act as SME on customer calls, RFIs, and process transition/wrap-up meetings.
Required Qualifications & Skills
• 2+ years in claims operations (health, motor, property) at an insurer/TPA/BPO.
• Strong command of policy terms, EOBs; health lines: familiarity with CPT/ICD codes.
• Proven record meeting TAT/accuracy targets; expert in documentation and QC.
• Proficiency with spreadsheets, PDFs, claims/CRM systems; comfort with high-volume queues.
• Excellent written/verbal communication; ability to convert domain rules into clear SOPs.
Nice to Have
• Experience with AI/IDP tools (e.g., Collatio ) and rule-based adjudication engines.
• Exposure to fraud frameworks and evidence handling.
• Process improvement certifications (Lean, Six Sigma Yellow/Green Belt).
Our Ideal Candidate
• Treats every claim as data: structured, validated, and audit-ready.
• Uplifts teams through standards, training, and measurable quality improvements.
• Comfortable collaborating with product/data engineers to make automation stick.
Tip for Candidates
If this job opening excites you, follow our page to stay connected
Read LessPosition: Logistics Manager (SME - Supply Chain Products)
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 3+ Years in Logistics Management, Supply Chain Operations, or Enterprise Workflow Optimization
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Our solutions streamline complex workflows by automating data extraction, operational tracking, and real-time intelligence delivery.
We are seeking a Logistics Manager to join as a Subject Matter Expert (SME). In this role, you will provide domain expertise on logistics workflows, helping design AI-powered solutions for shipment tracking, vendor management, documentation, and compliance.
Role Overview
As a Logistics Manager (SME), you will act as the bridge between logistics operations and AI product development. Your expertise in supply chain processes, shipment documentation, and compliance will directly inform how Scry AI develops automation solutions to address industry bottlenecks.
Key Responsibilities
Domain Expertise & Workflow DesignMap end-to-end logistics workflows (procurement, shipments, warehousing, distribution).Define templates and document types (bills of lading, invoices, customs filings, delivery receipts).Identify operational pain points where automation can improve accuracy and speed.Product Collaboration
Partner with product and engineering teams to develop AI models for logistics data extraction and IoT-driven tracking.Validate AI outputs (shipment records, vendor invoices, customs docs) against real-world standards.Recommend validation logic and exception-handling rules for logistics processes.Client & Use Case Support
Participate in client discovery sessions to understand logistics challenges.Provide real-world case studies for demos and prototypes.Translate client feedback into product features and workflow enhancements.Knowledge Contributions
Document logistics workflows, KPIs, and compliance requirements.Contribute to internal knowledge bases and training for sales, product, and marketing teams.Stay updated on logistics industry trends, digitization initiatives, and regulatory changes.Required Qualifications & Skills
3+ years of experience in logistics, supply chain, or operations management.Strong knowledge of logistics documentation (bills of lading, customs clearance, vendor invoices).Familiarity with ERP/SCM systems, logistics tracking, and compliance workflows.Exposure to international trade, customs regulations, or transportation compliance is a plus.Excellent problem-solving, workflow-mapping, and communication skills.Our Ideal Candidate
Has lived the daily complexities of logistics operations.Understands where automation and AI can reduce friction, improve accuracy, and cut costs.Brings practical logistics expertise combined with an openness to technology adoption.Is excited to shape tools that help logistics teams work faster and smarter.Tip for candidates
If this role interests you, follow our page to stay updated on logistics and supply chain opportunities, as well as insights into how AI is transforming operations.
Read LessPosition: Insurance Specialist (SME - Claims, Underwriting & Compliance)
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 2+ Years in Insurance Operations, Claims Management, or Underwriting (experience with AI-driven insurance or digital tools preferred)
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms to drive efficiency, insight, and compliance. Our platforms Collatio , Auriga , and Concentio streamline complex workflows by automating data extraction, validation, reconciliation, and delivering real-time intelligence.
We are seeking an Insurance Specialist (SME for our product suite) to strengthen claims accuracy, risk assessment, and compliance using Scry AI solutions. This role ensures efficiency, transparency, and customer trust in insurance operations.
Role Overview
As an Insurance Specialist, you will be responsible for managing insurance applications, claims processing, and policy administration while ensuring compliance with industry standards and regulations.
You will serve as a subject matter expert (SME) for Scry AI's solutions such as Collatio - Claims Automation & Fraud Detection, Auriga - Real-Time Intelligence, and Concentio - Data Intelligence, applying them to real-world insurance workflows.
This role requires both domain expertise in insurance operations and the ability to leverage AI-driven automation tools to improve efficiency, detect fraud, and enhance customer experience.
Key Responsibilities
Insurance Operations & Policy Management
Review and process insurance applications, endorsements, and claims.Ensure underwriting decisions are consistent with policy guidelines and compliance requirements.Validate documentation and financial/medical records for accuracy and completeness.AI-Driven Insurance Optimization (SME Role)
Use Collatio Claims Intelligence to streamline claims validation and detect fraudulent patterns.Apply Collatio KYC & EDD for enhanced due diligence and compliance checks.Leverage Auriga to query policy/claims data, generate reports, and provide real-time insights.Create automated dashboards for claims ratios, settlement times, and compliance metrics.Compliance & Risk Oversight
Ensure adherence to IRDAI guidelines and internal compliance standards.Identify risk trends across underwriting and claims, recommending preventive strategies.Maintain audit-ready records and compliance documentation.Cross-Functional Collaboration
Work with underwriters, claims examiners, and compliance teams to optimize workflows.Provide insights to product and engineering teams on insurance-related automation use cases.Support training and adoption of AI-powered insurance solutions.Required Qualifications & Skills
2+ years of experience in insurance operations, claims processing, or underwriting.Strong knowledge of IRDAI regulations, claims practices, and risk management.Experience with AI/automation platforms for insurance processes is a plus.Proficiency in MS Excel/Google Sheets, insurance management systems, and compliance tools.Excellent analytical, problem-solving, and report-writing skills.Strong attention to detail with a customer- and compliance-first mindset.Our Ideal Candidate
Has both insurance domain expertise and enthusiasm for AI-driven transformation.Thrives in a compliance-driven yet customer-focused environment.Is proactive in identifying inefficiencies and applying AI to optimize insurance workflows.Comfortable working in a remote or hybrid setup.Tip for Candidates
If you want to shape the future of AI-powered insurance operations and compliance, follow our page and stay updated on opportunities to grow with us.
Read LessPosition: Accounts Assistant (SME - Account Reconciliation Product)
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 2-4 Years in Accounting, Reconciliation, or Financial Operations
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI institutions to drive efficiency, insight, and compliance. Our solutions leverage Intelligent Document Processing (IDP), AI-led reconciliation, and real-time intelligence to automate complex workflows across finance and operations.
We are looking for an Accounts Assistant to join as a Subject Matter Expert (SME) in the domain of account reconciliation. You will provide operational insight to help design and refine AI-powered solutions that streamline reconciliation processes across payables, receivables, bank statements, and ledger transactions.
Role Overview
As an Accounts Assistant (SME - Reconciliation) at Scry AI, you will act as the voice of the accountant within the product team. Your deep understanding of reconciliation challenges, exceptions, and workflows will guide the development of automation tools that reduce manual effort, increase matching accuracy, and enable financial transparency at scale.
Key Responsibilities
1. Domain Expertise & Workflow Mapping
Define end-to-end reconciliation workflows (bank, vendor, customer, GL, intercompany).Identify common mismatches, exception types, and root causes encountered in manual processes.Document input formats (bank statements, ledger exports, invoices) and output expectations.2. Product Collaboration
Collaborate with product managers and engineers to build logic for auto-matching and exception flagging.Provide test cases, edge scenarios, and user flows for AI-based reconciliation modules.Validate system outputs to ensure accuracy and real-world applicability.3. Use Case Development & Testing
Assist in building sample data sets and real-life reconciliation scenarios for product demonstrations.Participate in internal testing, quality checks, and feedback loops during product sprints.Suggest improvements based on usability and accounting compliance.4. Knowledge Enablement
Create internal documentation on reconciliation standards, formats, and workflows.Contribute to user guides, training materials, and knowledge base content.Stay informed on tools, regulations, and best practices in accounting reconciliation.Required Qualifications & Skills
2-4 years of hands-on experience in accounting and reconciliation operations.Strong familiarity with reconciling bank statements, vendor accounts, customer payments, and ledgers.Knowledge of Tally, SAP, Zoho Books, or other ERP/accounting systems.Proficiency in Excel or Google Sheets with working knowledge of VLOOKUP, pivot tables, etc.Attention to detail with the ability to identify patterns, mismatches, and anomalies in data.Good documentation and communication skills to work with cross-functional teams.Our Ideal Candidate
Has worked in finance roles where reconciliation is a key responsibility.Understands the pain points of manual matching, data entry, and error tracking.Is excited to co-create digital tools that simplify reconciliation and reduce month-end closing timelines.Is a structured thinker with a collaborative mindset and a passion for solving accounting inefficiencies.Tip for candidates
If you're looking to help shape AI tools for the future of finance, follow our page to stay updated on product SME roles and insights into intelligent automation.
Read LessPosition: Customer Support Specialist
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 2+ Years in Customer Support, Helpdesk, or Client Success
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms to drive efficiency, insight, and compliance. Our platforms Collatio , Auriga , and Concentio streamline complex workflows by automating data extraction, validation, reconciliation, and delivering real-time intelligence.
We are seeking a Customer Support Specialist to provide high-quality support to our clients, ensuring the timely resolution of issues, smooth onboarding, and long-term customer satisfaction. This role combines communication skills, problem-solving ability, and familiarity with AI-driven support tools.
Role Overview
As a Customer Support Specialist, you will be the first point of contact for clients, helping resolve queries, troubleshoot issues, and provide product guidance.
You will serve as a subject matter expert (SME) for Scry AI's solutions such as Collatio - Intelligent Document Processing, Auriga - Knowledge Assistant, and Concentio - Edge AI, assisting clients in effectively using our platforms.
This role requires both customer service expertise and the ability to leverage AI tools to deliver proactive, data-driven, and empathetic support.
Key Responsibilities
Customer Support & Issue Resolution
Respond to customer queries via email, chat, and calls in a timely and professional manner.Troubleshoot technical/product issues and escalate when required.Document support tickets, resolutions, and follow-ups in the CRM/helpdesk system.AI-Driven Support (SME Role)
Leverage Auriga to provide context-aware answers and quick resolutions.Use Collatio to extract relevant information from client documents during support cases.Track support analytics (response times, resolution rates, CSAT) to identify improvement areas.Customer Success & Feedback
Ensure customer satisfaction (CSAT/NPS) by delivering consistent and empathetic support.Capture customer feedback and share with product teams for enhancements.Proactively identify adoption barriers and recommend solutions.Required Qualifications & Skills
2+ years of experience in customer support, client success, or technical support roles.Strong communication skills with fluency in English (additional languages a plus).Familiarity with helpdesk/CRM systems (e.g., Zendesk, Freshdesk, HubSpot).Basic technical troubleshooting and product demo skills.Strong problem-solving, patience, and customer-first mindset.Experience with AI-driven or SaaS product support preferred.Our Ideal Candidate
Is empathetic, resourceful, and proactive in resolving client issues.Enjoys working with technology and can simplify complex solutions for users.Thrives in a fast-paced environment while maintaining attention to detail.Sees customer feedback as an opportunity to continuously improve.Tip for Candidates
If you want to be part of building the future of AI-powered customer experience and client success, follow our page and stay updated on opportunities to grow with us.
Read LessPosition: Logistics Analyst (SME - Supply Chain Products)
Location: India (Remote)
Employment Type: Full-Time
Schedule: Monday to Friday, Day Shift
Experience: 2+ Years in Logistics Analysis, Supply Chain Data Management, or Process Optimization
Company Description
Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Our solutions streamline complex workflows by automating data extraction, operational tracking, and real-time intelligence delivery.
We are seeking a Logistics Analyst to join as a Subject Matter Expert (SME). In this role, you will focus on analyzing logistics operations, documentation, and workflows, providing insights that will help design AI-powered solutions for shipment tracking, vendor performance, and compliance.
Role Overview
As a Logistics Analyst (SME), you will bridge logistics operations and AI product development by contributing analytical insights, process documentation, and data-driven validation. Your experience in logistics data, shipment documentation, and vendor processes will inform how Scry AI develops automation and intelligence solutions for the logistics industry.
Key Responsibilities
Data & Workflow Analysis
Analyze end-to-end logistics workflows (procurement, shipments, warehousing, distribution).Review and classify logistics documentation (bills of lading, invoices, customs filings, receipts).Identify bottlenecks where automation can reduce errors and improve speed.Product Collaboration
Support product and engineering teams with logistics data requirements.Validate AI model outputs against industry-standard documents and formats.Provide input on exception handling, workflow rules, and compliance logic.Client & Use Case Support
Assist in client discussions by analyzing logistics pain points.Provide sample datasets and workflow maps for prototypes and demos.Translate operational issues into product requirements.Knowledge Contributions
Document logistics workflows, KPIs, and process benchmarks.Contribute insights to sales, product, and marketing knowledge bases.Stay updated on industry shifts, digitization efforts, and compliance trends.Required Qualifications & Skills
2+ years of experience in logistics, supply chain analysis, or operations.Strong knowledge of logistics documents and workflows (bills of lading, vendor invoices, customs docs).Familiarity with ERP/SCM systems and logistics tracking tools.Analytical mindset with ability to map processes and highlight gaps.Exposure to compliance workflows and international trade regulations is a plus.Strong documentation, problem-solving, and communication skills.Our Ideal Candidate
Has practical experience analyzing logistics operations and data.Understands how automation and AI can solve recurring logistics challenges.Brings attention to detail in documentation, analysis, and validation.Is curious about applying technology to streamline supply chain workflows.Tip for Candidates
If this role interests you, follow our page to stay updated on supply chain and logistics opportunities, and learn how AI is reshaping global logistics operations.
Read Less