We are looking for a highly passionate Sales professionals for our India, Dubai and Singapore offices. Experience - Must have 6+ years of Solid Experience in Selling B2B Technology/AI products in BFSI or Finance Functions across Industries. As a B2B Sales Professional at ScryAI, the Sales role goes beyond traditional sales—it involves consultative selling, relationship-building, and navigating complex enterprise sales cycles. Here are the skills we are looking for- 1. Deep Industry & Product KnowledgeUnderstand AI technologies, industry trends, and competitive landscape.Be well-versed in your product’s capabilities, differentiators, and use cases.Communicate the value of AI-driven automation and decision-making effectively.2. Consultative Selling & Solution-Based ApproachAct as a trusted advisor, focusing on solving customer pain points rather than just selling a product.Customize pitches based on a client’s industry, challenges, and goals.Use case studies, ROI projections, and success stories to build confidence.3. Strong Business AcumenUnderstand business models, revenue streams, and KPIs that matter to your prospects.Align your AI solution with the customer’s financial and strategic objectives.Be able to justify investments in AI with tangible benefits like cost savings, efficiency, or risk reduction.4. Enterprise Sales & Relationship ManagementNavigate long and complex B2B sales cycles involving multiple decision-makers.Build strong, long-term relationships with C-level executives and key stakeholders.Leverage networking, referrals, and industry events to expand your influence.5. Persuasive Communication & StorytellingTranslate technical AI concepts into clear, compelling business benefits.Use storytelling to make your pitch more engaging and memorable.Adapt communication styles for different audiences—technical teams, finance heads, and decision-makers.6. Objection Handling & NegotiationAnticipate and address concerns about AI adoption, data security, ROI, and implementation challenges.Be skilled in pricing and contract negotiations while demonstrating flexibility.Handle procurement hurdles and compliance concerns effectively.7. Lead Generation & Pipeline ManagementUse a structured sales process to qualify, nurture, and convert leads.Leverage CRM tools (Salesforce, HubSpot, etc.) for tracking progress and managing follow-ups.Align closely with marketing for lead generation campaigns and ABM (Account-Based Marketing).8. Adaptability & Continuous LearningStay updated on AI advancements, evolving customer needs, and market shifts.Be adaptable in adjusting sales strategies based on client feedback and new technologies.Learn from customer interactions and refine your approach over time.9. Collaboration with Internal TeamsWork closely with product, engineering, and customer success teams to ensure smooth implementation.Provide customer insights to shape product development and feature enhancements.Align with marketing on messaging, campaigns, and positioning.10. Persistence & ResilienceEnterprise AI sales require patience—deals may take months or even years to close.Stay motivated despite rejections and continuously refine your approach.Focus on value-driven follow-ups rather than aggressive sales tactics. Success in B2B AI sales isn’t just about closing deals—it’s about positioning yourself as a strategic vendor for your clients and partners, and make them feel confident and sure that they are getting value out of us and our products/ solutions. If you're a match, share your resume on jasleen.khurana@scryai.com
Position: Research Analyst (Subject Matter Expert – BFSI) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 5+ Years Company Description Scry AI is a leading innovator in AI-powered financial intelligence platforms tailored for Banking, Financial Services, and Insurance (BFSI) organizations. Our Collatio® Financial Spreading solution uses advanced AI to automate the digitization, normalization, and analysis of complex financial data from corporate filings, statements, and reports, supporting research, risk, and underwriting teams with faster, more accurate insights. We are seeking an experienced Research Analyst to join as a Subject Matter Expert (SME) and help drive the development of intelligent financial analysis tools and workflows for BFSI enterprises. Role Overview As a Research Analyst (SME) at Scry AI, you will use your expertise in financial research and corporate analysis to inform product development, support client engagements, and advance automation in financial statement analysis. You will work closely with product managers, data scientists, and client success teams to shape cutting-edge AI tools for research professionals and financial institutions. Key Responsibilities 1. Subject Matter Expertise & Product Strategy Provide domain expertise on financial analysis, research workflows, and reporting standards across BFSI sectors. Collaborate with product and engineering teams to improve AI models for extracting and interpreting data from financial statements, regulatory filings, and disclosures. Define financial metrics, ratios, and KPIs essential for research and credit evaluation. 2. Client & Market Engagement Act as a liaison between users and development teams to ensure product-market fit and solution adoption. Support solution engineering in product demos, RFPs, and pre-sales conversations with financial institutions. Conduct training sessions, pilot engagements, and feedback loops with clients. 3. Analytics Automation & Best Practices Contribute to developing automated workflows for financial spreading, trend analysis, benchmarking, and footnote parsing. Ensure output quality by validating mappings, templates, and research models generated by the platform. Recommend industry best practices for integrating AI-powered tools into traditional research workflows. 4. Thought Leadership & Competitive Research Track competing financial research platforms to identify gaps and opportunities. Co-develop content with marketing teams, including whitepapers, case studies, and knowledge sessions. Represent Scry AI at BFSI research forums and digital transformation events. Required Qualifications & Skills 5+ years of experience in financial research, credit analysis, risk research, or corporate financial analysis. In-depth understanding of financial statements, sector-specific KPIs, and fundamental analysis. Familiarity with research tools such as Capital IQ, FactSet, Bloomberg, or similar platforms. Hands-on experience with financial data modeling, spreading, or analysis automation. Strong communication and documentation skills for both business and technical audiences. Our Ideal Candidate Is a curious and analytical thinker passionate about improving financial research through AI. Has the ability to work across teams and translate real-world financial problems into product use cases. Is proactive, detail-oriented, and thrives in fast-paced environments. Show more Show less
We are seeking a highly skilled and experienced Senior Python Developer with over 3 years of professional experience. The ideal candidate should have expertise in Python programming, API frameworks, and containerization technologies like Docker. Experience with cloud platforms such as AWS is a strong advantage. This role offers an exciting opportunity to contribute to impactful projects and collaborate with a dynamic, innovative team. Responsibilities Design, develop, and maintain robust Python applications and services. Build and manage APIs using frameworks like CherryPy, Flask, FastAPI, or Django. Ensure high performance, scalability, and security of developed solutions. Utilize Docker for containerization to streamline development and deployment processes. Collaborate with cross-functional teams to gather requirements, define project scope, and deliver high-quality results. Integrate and deploy solutions in cloud environments (e. g., AWS) where applicable. Troubleshoot and resolve technical issues, ensuring system reliability and performance. Stay updated with the latest advancements in Python and associated technologies. Requirements Bachelor's or master's degree in computer science, Engineering, or a related field. Minimum of 3+ years of professional experience in Python development. Proficiency in building and managing APIs with frameworks like CherryPy, Flask, FastAPI, or Django. Strong experience with containerization technologies such as Docker. Excellent problem-solving skills and attention to detail. Strong understanding of software development lifecycle and best practices. Good To Have Experience with cloud platforms like AWS (EC2 S3 Lambda, etc. ). Familiarity with CI/CD pipelines and DevOps practices. Knowledge of Kubernetes for container orchestration. Exposure to database management (SQL or NoSQL). This job was posted by Piyush Verma from Scry AI. Show more Show less
Job Description We are seeking a skilled and experienced Cybersecurity Specialist to join our dynamic team. The ideal candidate will have 3-7 years of experience in cybersecurity roles and a strong technical background in information security. If you're passionate about protecting data, identifying vulnerabilities, and implementing robust security measures. Key Responsibilities Develop, implement, and maintain cybersecurity policies, firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint security solutions, and data encryption. Conduct regular security assessments, risk analyses, and vulnerability assessments to identify potential weaknesses and mitigate risks. Experience in Web/Mobile/Network Penetration Testing and/or Vulnerability Assessment. Experience with web application vulnerability scanner (BurpSuite, AppScan, Acunetix, Web Inspect, etc). Deep knowledge of common software vulnerabilities, such as OWASP Top 10 and CWE/SANS Top 25. Deep knowledge of HTTP protocol and the ability to construct/manipulate HTTP requests. Ability to suggest/recommend remediation to fix vulnerability. Manual Penetration Testing skills and techniques are required besides automated tools and frameworks. Knowledge on Tools: Nmap, Kali Linux, Metasploit, Maltego, Burp Suite, Nessus, nexpose, Wireshark, sqlmap etc. Proficiency in Conducting API (REST, SOAP, XML, JSON) Security testing activities to identify and mitigate security : 3-7 years of experience in cyber security or a related field. Bachelor's degree in Computer Science, Information Security, Cyber Operations, or a related field (or equivalent experience). Strong understanding of networking concepts, security principles, and cyber threats. Proven experience with vulnerability scanning and penetration testing tools. Knowledge of regulatory requirements and compliance frameworks (e.g., PCI DSS, NIST, CIS Controls). Experience in Information security controls, and doing IT audits, ISO certifications is preferred. (ref:hirist.tech) Show more Show less
Title : Data Scientist Experience : 4 to 6 years Company : Scry AI Skill Sets : GEN AI (LLM), Python, Scikit-learn, SQL, k-means, decision trees, random forests, neural networks, genetic algorithms About The Role Design and develop Predictive Analytics and Prescriptive Analytics architecture and features for artificial intelligence software solutions, including developing machine learning and statistical models to perform big data analysis. Duties Will Include The Following Research, design and develop algorithms and techniques to perform data manipulation and transformation; build generative and discriminative models to perform clustering, classification, regression, and recommendation systems. Design and build custom machine learning models. Building GEN AI (LLM) pipelines using LangChain, LlamaIndex, Vector DBs, embedding generation and Hugging Face. Build and implement machine learning algorithms to plan, create, coordinate, and deploy business information solutions; gather business requirements and technical specifications for developing analytics solutions. Develop artificial intelligence and machine learning algorithms. Custom design and implement various techniques in machine learning such as support vector machines, neural networks, genetic algorithms, principal component analysis, cluster analysis, k-means, decision trees, random forests, regression analysis, Bayesian analysis, Na- ve Bayes, and deep learning. Analyze large, complex and multi-dimensional data sets. Develop analytic solutions using R, Python, Scikit-learn, SQL and similar statistical tools and frameworks. Utilize Deep Learning neural networks including RNN, CNN, LSTM, and Autoencoder to predict the behavior and performance of businesses. Requirements Masters degree (or equivalent-) in Data Informatics, Computer Science, Applied Mathematics, Statistics, Analytics or a related field such as Computer Science and Engineering. Minimum 4+ years of relevant experience in the job offered or as a Software Engineer, Software Engineering Analyst, Application Developer, Programmer Analyst. Minimum 2 years of experience with algorithm design and development; software architecture development; data engineering, data structures, and data visualization; statistical data analysis. Artificial Intelligence (AI) and deep learning techniques; feature synthesis, engineering, and hyper-parameter tuning. Natural Language Processing; Machine Learning, including Bayesian modeling, multivariate and logistic regression, support vector machines, cluster analysis, decision and regression trees, random forest, neural networks and ensemble methods; analyzing large, complex, multi-dimensional data sets and developing analytic solutions. Experience working with structured and unstructured data (text, image). Working experience with unstructured data such as audios and videos is not mandatory but will be an add-on advantage. Experience in predictive analytics using R, Python, Scikit-learn, and SQL, PostgreSQL statistical tools; Spark, Hadoop, Unix O/S, GitHub; and programming languages Java, Python, R. Our Perfect Candidate Is Someone That Is proactive and an independent problem solver. Is a constant learner. We are a fast-growing company. We want you to grow with us! Is a team player and good communicator. (ref:hirist.tech) Show more Show less
Title : Senior Full Stack Developer Experience : 4 to 8 years Company : Scry AI Skill Sets : Angular, Node, HTML, CSS, and JavaScript, RESTful APIs, cloud platforms Overview We are looking for a highly skilled and experienced Senior Full Stack Developer to join our talented team. The ideal candidate should have at least 4 years of professional experience in full stack development, with a strong proficiency in both front-end and back-end technologies along with hands-on experience of working with SQL & NoSQL Databases. This role offers an exciting opportunity to work on diverse projects, contribute to architectural decisions, and drive innovation within our development team. Responsibilities Full Stack Development : Design, develop, and maintain scalable web applications and services using modern front-end and back-end technologies. Collaborate with cross-functional teams to gather requirements, define project scope, and deliver high-quality solutions. Ensure code quality, performance, and security standards are met throughout the development lifecycle. Front-end Development Develop responsive and user-friendly interfaces using HTML, CSS, and JavaScript frameworks such as Angular and React. Implement dynamic user interactions and visualizations to enhance the user experience. Optimize front-end performance and troubleshoot compatibility issues across different browsers and devices. Back-end Development Build robust and scalable server-side applications using programming languages such as Node.js. Design and implement RESTful APIs for seamless integration with front-end components and third-party services. Develop and maintain database schemas, queries, and data models using SQL and NoSQL databases. DevOps And Deployment Implement continuous integration and deployment (CI/CD) pipelines to automate build, test, and deployment processes. Monitor application performance, troubleshoot issues, and implement optimizations to ensure reliability and scalability. Deploy and manage applications in cloud environments (e.g., AWS). Technical Leadership And Mentorship Provide technical guidance and mentorship to junior developers, reviewing code, and sharing best practices. Participate in code reviews, architectural discussions, and decision-making processes to drive technical excellence within the team. Stay updated on emerging technologies, trends, and best practices in full stack development, sharing knowledge with the team. Qualifications Bachelor's or Masters degree in computer science Minimum of 4 years of professional experience in full stack development, with a strong portfolio of web applications or projects. Proficiency in front-end technologies such as HTML5, CSS3, JavaScript, and modern JavaScript frameworks/libraries - Angular. Solid understanding of back-end development concepts, including server-side programming languages (e.g., Node.js, Python), RESTful APIs, and databases (SQL and NoSQL - MongoDB). Experience in designing and developing user interfaces for chat widgets is a plus Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) Experience in writing test cases using jest, selenium etc. Experience in end to end mobile app development(react native, android) Strong problem-solving skills, attention to detail, and ability to work independently or collaboratively in a fast-paced environment. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. Proven track record of delivering high-quality software solutions on time and within budget. (ref:hirist.tech) Show more Show less
Title : Senior MEAN Stack Developer Experience : 4 to 8 years Company : Scry AI Skill Sets : MongoDB, Express.js, Angular, and Node.js, JavaScript/TypeScript, RESTful APIs Job Overview We are looking for a talented and experienced Senior MEAN Stack Developer to join our engineering team. In this role, you will be responsible for designing, developing, and maintaining complex web applications using MongoDB, Express.js, Angular, and Node.js. The ideal candidate has strong problem-solving skills, a passion for clean code, and the ability to lead technical discussions and mentor junior developers. Key Responsibilities Develop high-quality, scalable web applications using the MEAN Stack (MongoDB, Express.js, Angular, Node.js). Design and implement RESTful APIs and integrate third-party services. Translate business requirements into technical solutions with clean and maintainable code. Optimize applications for speed and scalability. Ensure cross-platform and cross-browser compatibility. Perform unit and integration testing to ensure application quality. Lead code reviews, provide technical guidance, and mentor junior developers. Collaborate with DevOps for deployment and CI/CD pipeline integration. Stay updated with the latest development trends and technologies. Required Skills & Qualifications 4 to 8 years of professional experience as a Full Stack or MEAN Stack Developer. Strong experience with Angular (v8 and above) and TypeScript. Proficient in Node.js and Express.js for backend development. Hands-on experience with MongoDB, including data modeling and aggregation. Solid understanding of HTML5, CSS3, JavaScript (ES6+), and responsive design principles. Experience with Git, RESTful API design, and Postman. Familiarity with JWT, OAuth2, or other authentication frameworks. Knowledge of Agile/Scrum methodologies and collaborative development practices. Preferred Qualifications Experience with RxJS, NgRx, or other state management libraries. Familiarity with Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP). Knowledge of unit testing (Jasmine, Karma) and E2E testing (Protractor, Cypress). Exposure to CI/CD tools (Jenkins, GitHub Actions, etc.). Experience in microservices architecture or serverless functions (ref:hirist.tech) Show more Show less
Senior MERN Stack Developer We are looking for a highly skilled and experienced Senior MERN Stack Developer to join our dynamic engineering team. The ideal candidate should have a strong foundation in MongoDB, Express.js, React.js, and Node.js, along with a deep understanding of software architecture, API development, and best coding practices. You will play a key role in leading full-stack projects, mentoring junior developers, and delivering high-quality, scalable web applications. Key Responsibilities Design and develop end-to-end scalable, secure, and performant full-stack applications using the MERN stack. Build and integrate robust RESTful and/or GraphQL APIs. Write clean, maintainable, and well-documented code using modern JavaScript (ES6+). Lead the development lifecycle from planning and architecture to testing and deployment. Collaborate with UI/UX designers and product managers to translate business requirements into technical specifications. Optimize performance and scalability for large-scale applications. Mentor junior developers, conduct code reviews, and enforce development best practices. Troubleshoot, debug, and resolve application issues across the stack. Required Skills & Qualifications 48 years of hands-on experience with the MERN stack: MongoDB, Express.js, React.js, and Node.js. Strong proficiency in JavaScript, ES6+, and TypeScript (preferred). Solid understanding of API development, authentication/authorization (e.g., JWT, OAuth). Experience with state management tools like Redux, Context API. Strong knowledge of MongoDB aggregation, schema design, and indexing. Experience with Docker, CI/CD pipelines, and cloud deployment (AWS/GCP/Azure/Heroku). Familiarity with unit testing and integration testing frameworks (e.g., Jest, Mocha). Proficient in Git, GitHub, and Agile development methodologies. Excellent problem-solving skills and communication abilities. Preferred Qualifications Experience with Next.js or server-side rendering (SSR). Familiarity with microservices architecture and message queues (e.g., RabbitMQ, Kafka). Knowledge of GraphQL, Socket.io, or real-time systems. Background in performance tuning and database optimization. (ref:hirist.tech) Show more Show less
Job Description We are seeking a skilled and experienced Cybersecurity Specialist to join our dynamic team. The ideal candidate will have 3-7 years of experience in cybersecurity roles and a strong technical background in information security. If you're passionate about protecting data, identifying vulnerabilities, and implementing robust security Responsibilities : Develop, implement, and maintain cybersecurity policies, firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint security solutions, and data encryption. Conduct regular security assessments, risk analyses, and vulnerability assessments to identify potential weaknesses and mitigate risks. Experience in Web/Mobile/Network Penetration Testing and/or Vulnerability Assessment. Experience with web application vulnerability scanner (BurpSuite, AppScan, Acunetix, Web Inspect, etc). Deep knowledge of common software vulnerabilities, such as OWASP Top 10 and CWE/SANS Top 25. Deep knowledge of HTTP protocol and the ability to construct/manipulate HTTP requests. Ability to suggest/recommend remediation to fix vulnerability. Manual Penetration Testing skills and techniques are required besides automated tools and frameworks. Knowledge on Tools : Nmap, Kali Linux, Metasploit, Maltego, Burp Suite, Nessus, nexpose, Wireshark, sqlmap etc. Proficiency in Conducting API (REST, SOAP, XML, JSON) Security testing activities to identify and mitigate security 3-7 years of experience in cyber security or a related field. Bachelor's degree in Computer Science, Information Security, Cyber Operations, or a related field (or equivalent experience). Strong understanding of networking concepts, security principles, and cyber threats. Proven experience with vulnerability scanning and penetration testing tools. Knowledge of regulatory requirements and compliance frameworks (eg, PCI DSS, NIST, CIS Controls). Experience in Information security controls, and doing IT audits, ISO certifications is preferred. (ref:hirist.tech)
Job Title: Lead Nurturing Specialist (MQL → SQL) Location: NCR (preferred) – Hybrid Experience: 3+ years About Scry AI Scry AI is a research-led enterprise AI company delivering scalable, secure solutions across various domains. Powered by our proprietary platforms, we help teams automate with accuracy, transparency, and speed, turning operations into a strategic advantage. The Role We’re looking for a Lead Nurturing Specialist to own and execute the MQL-to-SQL conversion strategy. This role is central to bridging marketing and sales, ensuring every qualified lead from our inbound campaigns is engaged, nurtured, and moved efficiently through the funnel. The ideal candidate is highly organized, comfortable with CRM and automation tools, and knows how to personalize outreach to drive results. You’ll work closely with both marketing and sales teams to ensure seamless handoffs, improve conversion rates, and drive pipeline growth. What You’ll Do Manage and nurture inbound MQLs from various sources (LinkedIn Ads, Google Ads, webinars, gated content, etc.) Plan and execute personalized, multi-touch nurturing workflows (email, LinkedIn, etc.) to guide leads through the funnel Write and optimize email sequences based on buyer persona, stage, and intent Collaborate with marketing to align messaging and timing of follow-ups Track engagement metrics (open rates, click-throughs, replies, conversions) and optimize accordingly Work with sales to define SQL criteria and ensure timely, high-quality lead handoff Contribute to outbound prospecting and initial qualification when required Maintain and update lead records in CRM (e.g., HubSpot) and ensure data hygiene Report weekly on lead conversion metrics and campaign effectiveness What You Bring 3+ years of experience in demand generation, inside sales, or lead nurturing (preferably B2B/SaaS) Strong copywriting and communication skills for crafting effective email and LinkedIn outreach Experience using marketing automation tools and CRMs like HubSpot, Salesforce, or similar Data-driven mindset with the ability to analyze and act on engagement signals Understanding of buyer journeys and B2B lead lifecycle stages (Bonus) Experience collaborating with SDR/BDR or sales enablement teams Why Join Us Be the connector between marketing and sales—own the MQL-to-SQL conversion funnel Get hands-on exposure to marketing tech stacks and growth strategies Contribute directly to revenue and growth at an innovative AI company Learn from experienced marketers, sales leaders, and product teams Hybrid work model, growth-oriented culture, and a high-impact role
Title: SEO & Backlink Specialist Location: Gurgaon Employment Type: Full-Time Schedule: Monday to Friday, Day Shift, IST Experience: 3+ years in SEO & Backlink Building for B2B SaaS/AI Software Job Title: SEO & Backlink Specialist (B2B AI Software) Role Overview: The SEO & Backlink Specialist will be responsible for executing and managing link-building strategies, improving domain authority, and ranking high-value B2B AI content. The ideal candidate will have strong experience in technical SEO, content SEO, and backlink acquisition within the AI, fintech, and SaaS industries. Key Responsibilities: 1. Link Building & Backlink Acquisition (Core Focus) Develop & execute backlink acquisition strategies to increase domain authority and rankings. Identify and secure high-authority, industry-relevant backlinks from BFSI, AI, fintech, and SaaS publications. Build relationships with journalists, bloggers, and industry influencers for guest posting & PR-based link-building. Leverage HARO (Help a Reporter Out) and other PR tools to secure mentions in high DA websites. Monitor & analyze backlinks for quality, identifying & removing toxic or spammy links. 2. SEO Strategy & Execution Conduct comprehensive SEO audits to improve site structure, technical health, and keyword rankings. Optimize website pages for on-page SEO, metadata, internal linking, and structured data. Research and implement high-value keywords related to AI, BFSI automation, and SaaS software. Improve Core Web Vitals & site performance to boost SEO rankings. 3. Content SEO & Article Ranking Work closely with content writers to develop and optimize SEO-driven content that ranks on Google. Identify top-performing competitor articles and create a ranking strategy to outrank them. Use tools like SurferSEO, Clearscope, or Frase to optimize articles for search intent & relevance. Implement SEO content clusters, pillar pages, and topic authority to dominate niche rankings. 4. Performance Tracking & Reporting Use Google Analytics, Google Search Console, Ahrefs, SEMrush, and Moz to track SEO & backlink performance. Provide weekly/monthly reports on backlink growth, keyword rankings, and organic traffic improvements. Continuously test and refine SEO strategies based on data-driven insights. Required Qualifications & Skills: 5+ years of experience in SEO, backlink building, and content optimization for B2B SaaS, AI, or BFSI software. Proven track record of securing high-quality backlinks from authoritative sites in the AI/BFSI/tech space. Deep expertise in SEO tools like Ahrefs, SEMrush, Moz, Screaming Frog, and Google Search Console. Strong experience in technical SEO, schema markup, site speed optimization, and Core Web Vitals. Ability to analyze competitors' backlink profiles and create strategic outreach campaigns. Experience with guest posting, digital PR, HARO, and outreach-based link-building strategies. Strong analytical mindset, able to interpret data and refine SEO tactics for maximum ROI. Excellent written and verbal communication skills to collaborate with content, PR, and marketing teams. Our perfect candidate is someone who Is proactive and an independent problem solver Is a constant learner Is a team player and a good communicator Applicant can also share their updated CV with deepak.kathait@scryai.com Company Description Scry AI, founded in 2014, is a research and development company that pioneers in solving complex and extremely laborious problems using their proprietary AI-based enterprise applications. Leveraging over 40 years of subject matter expertise, Scry AI offers 5 product suites, Collatio (for intelligent document processing), Anomalia (for anomaly and fraud detection in financial transactions), Concentio (for anomaly detection and predictive maintenance in IOT data), Vigilo (for predicting marketing and operational risks), and Datatio (for automated extraction of data relationships among tables). Committed to the highest level of data security Scry AI is ISO 27001 & SOC2 certified.
Position: Risk Examiner (SME – Credit & Operational Risk) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 3+ Years in Risk Assessment, BFSI Sector Preferred Company Description Scry AI is at the forefront of AI-powered decision intelligence platforms designed for Banking, Financial Services, and Insurance (BFSI) enterprises. Our solutions help automate risk assessment, credit evaluation, compliance, and internal audit workflows by combining deep domain knowledge with advanced AI, document processing, and predictive analytics. We are looking for an experienced Risk Examiner to join us as a Subject Matter Expert (SME). This role will help shape intelligent risk management modules across our AI platforms, with a focus on credit, operational, and compliance risk evaluation. Role Overview As a Risk Examiner (SME - Credit & Operational Risk) at Scry AI, you will bring deep expertise in risk identification, assessment frameworks, and regulatory standards to ensure that our AI tools reflect real-world banking and insurance risk processes. You’ll collaborate with product teams to embed risk logic into automated workflows and work closely with clients to align solutions with their governance needs. Key Responsibilities 1. Risk Domain Expertise & Framework Development Provide subject matter expertise across risk categories such as credit, operational, compliance, and reputational risk. Translate regulatory frameworks (e.g., Basel III, SOX, IRDAI norms) into structured workflows for automation. Define field-level data checks, thresholds, red flags, and early warning indicators for risk evaluation. 2. Product Co-Creation & Logic Design Collaborate with product managers and data scientists to define rules for creditworthiness scoring, risk rating models, and exception monitoring. Design templates for risk assessment reports, internal controls, and audit-ready documentation. Validate outputs of AI-based risk engines for accuracy, traceability, and regulatory alignment. 3. Risk Review Automation & Audit Support Support automation of risk review processes for loan files, policy documents, financial statements, and KYC records. Help identify anomalies, policy breaches, or missing documents using AI and document intelligence. Assist with audit trail generation and compliance documentation for enterprise deployments. 4. Client Engagement & Industry Alignment Work with clients to understand their risk governance models and align AI capabilities accordingly. Participate in UAT, feature planning, and requirement gathering for client-specific risk modules. Monitor emerging risk practices, regulatory updates, and benchmarks to evolve product design. Required Qualifications & Skills 3+ years of experience in risk examination, credit analysis, compliance, or internal audit, preferably in BFSI. Deep understanding of risk scoring models, credit risk matrices, operational risk assessments, and controls testing. Familiarity with risk and compliance systems (e.g., SAS, Moody’s RiskCalc, Actimize, RSA Archer). Knowledge of regulatory frameworks (Basel, RBI, IRDAI, SEBI, AML/KYC) and risk rating standards. Experience working with large volumes of financial and operational data. Strong analytical, documentation, and communication skills. Our Ideal Candidate Understands both strategic and operational aspects of risk management. Can bridge the gap between compliance teams and technical product developers. Is motivated to modernize legacy risk processes using AI and automation. Brings a consultative mindset to client engagements. Has a strong attention to detail and passion for structured, auditable systems.
Position: IT Auditor (SME – BFSI Systems & Compliance) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 3+ Years in IT Audit, BFSI or RegTech Sector Preferred Company Description Scry AI is a research-driven enterprise AI company delivering secure, intelligent automation platforms to Banking, Financial Services, and Insurance (BFSI) clients. Our solutions empower organizations to manage data, automate workflows, and ensure compliance across mission-critical financial operations. We maintain a strong commitment to security, regulatory alignment, and internal control integrity. We are looking for an IT Auditor with deep experience in IT controls, risk assessments, and security audits to help strengthen and align our platforms with client expectations and compliance frameworks. Role Overview As an IT Auditor at Scry AI, you will evaluate the integrity, confidentiality, and availability of systems powering our AI platforms and client engagements. You’ll work closely with engineering, compliance, and operations teams to assess controls, identify gaps, and ensure we meet industry standards like ISO 27001, SOC 2, and regulatory frameworks including RBI and SEBI guidelines. Key Responsibilities 1. IT Risk & Control Assessments Conduct regular IT audits across infrastructure, applications, data workflows, and user access. Evaluate the effectiveness of internal controls, cybersecurity measures, and business continuity plans. Identify vulnerabilities and recommend actionable mitigation strategies. 2. Compliance & Standards Alignment Ensure ongoing compliance with industry frameworks (ISO 27001, NIST, SOC 2, RBI, SEBI, etc.). Work with engineering to embed audit-readiness and risk mitigation into system design. Support internal audits, external audits, and regulatory inspections. 3. Reporting & Documentation Prepare audit reports detailing findings, risks, and control effectiveness. Maintain logs of issues, resolutions, and audit evidence for internal records. Track and follow up on audit remediation plans and risk closures. 4. Collaboration & Advisory Partner with DevOps, security, and data teams to implement audit recommendations. Provide advisory support during product development and client onboarding. Contribute to IT policies, SOPs, and internal training on security and compliance. Required Qualifications & Skills 3+ years of experience in IT auditing, IT risk management, or information security. Strong understanding of audit frameworks (ISO, SOC, COBIT, NIST, RBI/SEBI norms). Familiarity with cloud infrastructure (AWS, Azure, GCP) and DevSecOps principles. Experience auditing SaaS platforms, databases, and user access control systems. Excellent documentation and analytical skills. CISA, CISM, or similar certifications preferred. Our Ideal Candidate Understands the unique risk and compliance landscape of BFSI and enterprise tech. Has hands-on experience conducting IT audits and collaborating across technical teams. Is detail-oriented, structured, and proactive in surfacing risks before they escalate. Thrives in an evolving, high-accountability environment where security is non-negotiable. Is eager to contribute to secure, compliant, and trusted AI adoption in financial services. Tip for candidates If this role interests you, then follow our page to stay updated on similar future job openings and insights.
Position: Product Marketing Manager (AI Solutions – BFSI) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 3+ Years in Product Marketing, BFSI/Enterprise SaaS Preferred Company Description Scry AI is a research-led AI company delivering enterprise-grade automation and intelligence platforms to BFSI organizations. Our solutions empower institutions to streamline document-intensive processes, surface real-time insights, and ensure regulatory compliance through cutting-edge AI, natural language processing, and machine learning technologies. We are looking for a Product Marketing Manager to lead go-to-market efforts, positioning strategies, and content initiatives that drive awareness, adoption, and revenue growth for our AI platforms across financial use cases. Role Overview As a Product Marketing Manager at Scry AI, you will be the bridge between product, sales, and marketing teams responsible for shaping the narrative around our AI solutions, understanding market needs, and driving campaigns that position us as the leading AI partner for BFSI transformation. You will translate complex product capabilities into compelling value propositions that resonate with enterprise decision-makers. Key Responsibilities 1. Go-To-Market Strategy & Positioning Develop and execute GTM plans for new feature releases, solution launches, and industry verticals. Craft product messaging, differentiation, and value propositions tailored to financial institutions. Create sales enablement collateral including decks, battle cards, product one-pagers, and objection-handling guides. 2. Content Creation & Thought Leadership Own the development of high-impact content: case studies, blog posts, whitepapers, solution briefs, and webinars. Collaborate with subject matter experts to translate technical features into business value. Support campaigns with messaging for digital ads, landing pages, email nurture, and SEO. 3. Customer & Market Insights Conduct market, competitor, and customer research to identify trends, pain points, and whitespace. Lead win/loss analysis, persona development, and voice-of-customer programs. Synthesize insights to inform product roadmap and marketing priorities. 4. Sales & Partner Enablement Train sales, presales, and partner teams on product updates and value storytelling. Support client-facing conversations with strategic messaging, use cases, and ROI narratives. Partner with business development to drive demos, pilots, and case study development. 5. Performance & Optimization Track content and campaign performance metrics aligned to MQLs, pipeline growth, and sales acceleration. Continuously test and optimize messaging across channels based on data-driven feedback. Required Qualifications & Skills 3+ years of experience in B2B product marketing, preferably in enterprise SaaS or BFSI tech. Deep understanding of buyer personas in banking, insurance, or financial services. Proven ability to craft messaging and content that bridges technical depth with business impact. Familiarity with AI, LLMs, IDP, or automation platforms is a strong plus. Experience working with cross-functional teams: product, sales, and engineering. Strong storytelling, writing, and communication skills. Self-starter with high ownership, analytical thinking, and a bias for action. Our Ideal Candidate Understands how to market emerging technologies to risk-averse, regulated industries. Is passionate about transforming legacy BFSI workflows using cutting-edge AI. Has a knack for simplifying complex concepts into customer-centric messaging. Enjoys wearing multiple hats in a high-growth, collaborative environment. Is eager to shape how enterprises perceive and adopt AI-powered innovation. Tip for candidates If this role interests you, then follow our page to stay updated on similar future job openings and insights.
Position: B2B LinkedIn Marketing Specialist Location: Gurugram (hybrid) Employment Type: Full-Time Experience: 2–5 Years in B2B Digital Marketing, with a strong focus on LinkedIn Company Overview Scry AI is a research-led enterprise AI company transforming operations for Banking, Financial Services, and Insurance (BFSI) organizations. Our AI platforms—Collatio®, Concentio®, and Auriga®—help automate document processing, generate real-time insights, and ensure compliance at scale. As we scale our marketing efforts, we are looking for a B2B LinkedIn Marketing Specialist to drive brand awareness, engagement, and qualified lead generation via organic and paid strategies on LinkedIn. Key Responsibilities Content Strategy & Execution: Develop, manage, and publish engaging LinkedIn content tailored to decision-makers in BFSI (CXOs, VPs, Transformation Heads, etc.) Page & Profile Optimization: Ensure the company LinkedIn page and leadership profiles are optimized for visibility and credibility Campaign Management: Plan and execute organic and paid LinkedIn campaigns for webinars, gated content, product launches, and certifications Engagement & Community Building: Proactively engage with ICPs (Ideal Customer Profiles), comment on industry posts, and grow follower base Analytics & Reporting: Track campaign performance, content reach, follower growth, CTR, CPL, and conversions using LinkedIn analytics and HubSpot/CRM data Collaboration: Work with sales, design, and product marketing teams to align messaging and target high-value personas Event Promotion: Support LinkedIn promotion of events, conferences, and executive webinars A/B Testing: Run experiments on messaging, creatives, and content formats to improve performance Requirements 2–5 years of experience in B2B LinkedIn marketing, ideally in SaaS or AI/tech Proven success in LinkedIn content strategy, paid ad management, and organic growth Strong copywriting and visual storytelling skills Experience with LinkedIn Campaign Manager, HubSpot (or similar CRM), and analytics tools Understanding of BFSI audience needs and enterprise buying cycles is a plus Ability to work independently and meet performance KPIs Nice to Have Experience in BFSI or RegTech/FinTech domain Exposure to ABM (Account-Based Marketing) campaigns Familiarity with video content and webinars on LinkedIn Live What We Offer Opportunity to lead LinkedIn strategy for a fast-growing AI company Exposure to global BFSI markets and thought leaders Flexible remote working Competitive compensation and performance-based growth Tip for candidates If this role interests you, then follow our page to stay updated on similar future job openings and insights.
Position: IT Auditor (SME BFSI Systems & Compliance) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 3+ Years in IT Audit, BFSI or RegTech Sector Preferred Company Description Scry AI is a research-driven enterprise AI company delivering secure, intelligent automation platforms to Banking, Financial Services, and Insurance (BFSI) clients. Our solutions empower organizations to manage data, automate workflows, and ensure compliance across mission-critical financial operations. We maintain a strong commitment to security, regulatory alignment, and internal control integrity. We are looking for an IT Auditor with deep experience in IT controls, risk assessments, and security audits to help strengthen and align our platforms with client expectations and compliance frameworks. Role Overview As an IT Auditor at Scry AI, you will evaluate the integrity, confidentiality, and availability of systems powering our AI platforms and client engagements. Youll work closely with engineering, compliance, and operations teams to assess controls, identify gaps, and ensure we meet industry standards like ISO 27001, SOC 2, and regulatory frameworks including RBI and SEBI guidelines. Key Responsibilities 1. IT Risk & Control Assessments Conduct regular IT audits across infrastructure, applications, data workflows, and user access. Evaluate the effectiveness of internal controls, cybersecurity measures, and business continuity plans. Identify vulnerabilities and recommend actionable mitigation strategies. 2. Compliance & Standards Alignment Ensure ongoing compliance with industry frameworks (ISO 27001, NIST, SOC 2, RBI, SEBI, etc.). Work with engineering to embed audit-readiness and risk mitigation into system design. Support internal audits, external audits, and regulatory inspections. 3. Reporting & Documentation Prepare audit reports detailing findings, risks, and control effectiveness. Maintain logs of issues, resolutions, and audit evidence for internal records. Track and follow up on audit remediation plans and risk closures. 4. Collaboration & Advisory Partner with DevOps, security, and data teams to implement audit recommendations. Provide advisory support during product development and client onboarding. Contribute to IT policies, SOPs, and internal training on security and compliance. Required Qualifications & Skills 3+ years of experience in IT auditing, IT risk management, or information security. Strong understanding of audit frameworks (ISO, SOC, COBIT, NIST, RBI/SEBI norms). Familiarity with cloud infrastructure (AWS, Azure, GCP) and DevSecOps principles. Experience auditing SaaS platforms, databases, and user access control systems. Excellent documentation and analytical skills. CISA, CISM, or similar certifications preferred. Our Ideal Candidate Understands the unique risk and compliance landscape of BFSI and enterprise tech. Has hands-on experience conducting IT audits and collaborating across technical teams. Is detail-oriented, structured, and proactive in surfacing risks before they escalate. Thrives in an evolving, high-accountability environment where security is non-negotiable. Is eager to contribute to secure, compliant, and trusted AI adoption in financial services. Tip for candidates If this role interests you, then follow our page to stay updated on similar future job openings and insights. Show more Show less
Job Title: Program Manager Location: India, Remote Department: Product & Delivery About Scry AI Scry AI is a leading provider of AI-powered enterprise solutions, delivering transformational business outcomes through products like Collatio® (automation of complex document processing across financial, legal, and operational domains), Auriga® (Enterprise Knowledge Intelligence Platform), and Concentio® (IoT + AI platform for real-time monitoring and automation). Founded in 2014, we combine proprietary AI algorithms, domain-specific ontologies, and enterprise-grade integration capabilities to serve industries including finance, logistics, insurance, utilities, manufacturing, and construction. Position Overview We are seeking a Program Manager to lead the planning, coordination, and execution of cross-functional initiatives for our enterprise AI products. The ideal candidate will bridge technical, operational, and business teams, ensuring that projects are delivered on time, within scope, and aligned with client expectations. You will oversee multiple product lines, manage complex stakeholder relationships, and drive programs from concept to delivery. Key Responsibilities Program Leadership & Delivery Lead end-to-end execution of strategic programs involving multiple products (e.g., Collatio® Loan Ops Automation, Auriga® Knowledge Intelligence, Concentio® Connected Construction). Define program scope, objectives, timelines, and success metrics in collaboration with product, engineering, and client teams. Oversee integration efforts with client environments, including ERP, CRM, and legacy systems. Stakeholder Management Act as the primary liaison between Scry AI’s product teams, clients, and strategic partners. Facilitate regular status updates, executive briefings, and client steering committee meetings. Manage expectations, dependencies, and escalations across projects. Operational Excellence Implement project governance, risk management, and quality assurance frameworks. Ensure compliance with relevant standards (SOC 2, ISO 27001, data privacy regulations). Drive continuous improvement by capturing lessons learned and optimizing delivery processes. Technical & Product Alignment Translate client needs into product requirements and collaborate with product managers for roadmap alignment. Oversee proof-of-value engagements and ensure smooth transition to operational deployment. Understand and communicate technical capabilities such as AI-based OCR, NLP, predictive analytics, and API integrations. Qualifications Bachelor’s degree in Engineering, Computer Science, Business, or related field (MBA preferred). Experience in program or project management within enterprise software, SaaS, AI/ML, or digital transformation domains. Strong understanding of AI/ML concepts, enterprise integrations, and document automation workflows. Proven ability to manage multiple projects with complex interdependencies. Excellent communication, negotiation, and leadership skills. PMP, PgMP, or Agile certification (preferred). What We Offer Opportunity to work at the cutting edge of AI, automation, and enterprise transformation. Collaborative and innovation-driven culture. Competitive salary, performance-based incentives, and benefits package. Exposure to global clients across finance, insurance, utilities, and manufacturing.
Position: Client Support Specialist Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Company Description Scry AI is a leading provider of AI-powered enterprise solutions, delivering transformational business outcomes through products like Collatio® (automation of complex document processing across financial, legal, and operational domains), Auriga® (Enterprise Knowledge Intelligence Platform), and Concentio® (IoT + AI platform for real-time monitoring and automation). Founded in 2014, we combine proprietary AI algorithms, domain-specific ontologies, and enterprise-grade integration capabilities to serve industries including finance, logistics, insurance, utilities, manufacturing, and construction. Position Overview We’re seeking a Client Support Specialist who will serve as the primary point of contact for our clients, ensuring they maximize the value of Scry AI’s solutions. This role requires a mix of strong communication, technical problem-solving, and customer relationship management skills. You’ll work closely with product, engineering, and sales teams to ensure seamless onboarding, issue resolution, and proactive client engagement. The ideal candidate is empathetic, detail-oriented, and thrives on helping clients succeed while representing their needs internally. Key Responsibilities Client Engagement & Support Act as the first point of contact for client inquiries, providing timely and professional responses. Manage onboarding and training sessions to ensure smooth adoption of Scry AI platforms. Troubleshoot issues related to Collatio®, Auriga®, and Concentio®, coordinating with technical teams as needed. Relationship Management Build strong relationships with client stakeholders, ensuring satisfaction and long-term engagement. Proactively identify client challenges and provide solutions or escalate appropriately. Gather client feedback to influence product improvements and roadmap priorities. Documentation & Reporting Maintain accurate records of client interactions, issue resolutions, and support tickets. Create and update knowledge base articles, FAQs, and training materials to empower clients. Generate regular reports on client health, support metrics, and recurring issues. Collaboration Partner with product managers, engineers, and sales teams to deliver client success. Coordinate with marketing and training teams to ensure clients receive updated collateral and product guides. Qualifications Bachelor’s degree in Business, Computer Science, or related field. 2+ years of experience in client support, technical support, or customer success, preferably in SaaS, AI, or enterprise technology. Strong understanding of enterprise software and ability to learn technical details quickly. Excellent communication, problem-solving, and relationship-building skills. Familiarity with CRM, ticketing, or support platforms (e.g., Zendesk, Salesforce, HubSpot). Ability to manage multiple client accounts in a fast-paced environment. What We Offer Work at the forefront of AI innovation in high-impact industries. A client-facing role with opportunities to build long-term relationships with global enterprises. Competitive compensation and performance incentives. Professional development opportunities in AI, enterprise technology, and client success management.
Position: Technical Operations Manager (Enterprise AI Solutions) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 3+ Years in Technical Operations, IT Service Management, or Enterprise SaaS Delivery 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 transform mission-critical workflows by automating data extraction, real-time intelligence delivery, and enterprise-grade system integrations. We are looking for a Technical Operations Manager to lead and manage our technical operations team. This role ensures the smooth functioning, reliability, and scalability of Scry AI’s platforms in client environments, while driving operational excellence and compliance across deployments. Role Overview As a Technical Operations Manager, you will be responsible for managing day-to-day technical operations, ensuring uptime, and supporting enterprise deployments. You will oversee incident response, SLA compliance, system monitoring, and cross-functional coordination with engineering, product, and client success teams. Key Responsibilities Operations Management Oversee day-to-day technical operations for internal systems and client-facing deployments. Ensure uptime, system availability, and SLA commitments are consistently met. Manage incident response, root cause analysis, and post-mortems. Monitoring & Performance Implement and maintain monitoring/observability frameworks across platforms. Define and track KPIs for performance, uptime, and reliability. Proactively identify risks, bottlenecks, and areas for improvement. Team & Process Leadership Lead and mentor the technical operations team. Establish best practices for ITIL processes (incident, problem, and change management). Drive automation initiatives to reduce manual effort in operational tasks. Cross-Functional Coordination Work with engineering on deployments, upgrades, and performance fixes. Collaborate with customer success teams to ensure seamless client onboarding and support. Support compliance teams with operational documentation for audits (SOC 2, ISO 27001, GDPR). Continuous Improvement Drive operational excellence through standardization, playbooks, and automation. Stay updated on industry best practices in SaaS operations, DevOps, and AIOps. Recommend new tools and frameworks for improving reliability and efficiency. Required Qualifications & Skills 3+ years of experience in technical operations, IT service delivery, or SaaS/enterprise deployments. Strong understanding of system monitoring and observability tools (Datadog, Splunk, New Relic, etc.). Familiarity with ITIL frameworks and enterprise operations best practices. Experience managing cloud infrastructure (AWS, Azure, GCP) and deployments. Strong problem-solving and leadership skills. Excellent communication and collaboration abilities. Our Ideal Candidate Has hands-on experience leading IT/technical operations teams in fast-paced environments. Thrives at the intersection of reliability, compliance, and scalability. Brings both operational discipline and a continuous improvement mindset. Is excited to ensure that Scry AI’s platforms deliver world-class uptime and client satisfaction. Tip for candidates If this role interests you, follow our page to stay updated on opportunities and insights into how AI platforms are scaling securely and reliably in enterprise environments.
Position: Policy Processing Clerk (Insurance Operations – SME Support) Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Experience: 2+ Years in Insurance Policy Administration, Underwriting Support, or Claims 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 streamline complex workflows across insurance, finance, and claims operations by automating data extraction, validation, and real-time intelligence delivery. We are seeking a Policy Processing Clerk with insurance operations expertise to join as a Subject Matter Expert (SME) collaborator. You will provide domain insights into policy administration processes that will guide the design of AI-powered automation solutions for insurers, TPAs, and brokers. Role Overview As a Policy Processing Clerk, you will be the bridge between insurance operations and product innovation. Your experience in preparing, updating, and maintaining insurance policy records will help shape automation logic for data-intensive workflows such as policy issuance, endorsements, renewals, and compliance checks. Key Responsibilities Policy Administration Expertise Review applications, policy documents, endorsements, and renewals for accuracy. Ensure data consistency across forms, declarations, schedules, and regulatory filings. Support underwriting teams with validation of applicant and policyholder data. Workflow Mapping & Product Input Map end-to-end processes for policy issuance, amendments, and cancellations. Define standard templates, checklists, and exceptions commonly found in insurance policy workflows. Provide input on compliance requirements (IRDAI, NAIC, or equivalent regulations). Quality Assurance & Validation Assist product teams in testing AI models for extracting data from policy documents. Validate outputs against standard insurance formats and identify edge cases. Suggest business rules for error handling, approvals, and data reconciliation. Client & Internal Collaboration Support client discovery sessions focused on policy processing challenges. Share real-world scenarios to build demos and use cases. Contribute knowledge to training material for internal teams and clients. Required Qualifications & Skills 2+ years of experience in insurance policy processing, underwriting support, or claims operations. Familiarity with common insurance policy documents (applications, endorsements, schedules, declarations). Strong attention to detail with excellent data entry and validation skills. Knowledge of compliance and regulatory requirements in insurance. Proficiency in MS Office (Word, Excel), policy admin systems, and document management workflows. Good communication and teamwork skills. Our Ideal Candidate Understands the daily pain points of policy processing and where errors typically occur. Brings a keen eye for detail and accuracy in handling insurance data. Is excited to contribute domain expertise that will guide AI-based automation. Can balance operational knowledge with openness to technology-driven transformation. Tip for candidates If this role interests you, follow our page to stay updated on insurance-focused opportunities and insights into how AI is modernizing policy administration.