Tookitaki

Position Overview Job Title: Project Manager Location: India Department: Service Delivery Reporting To: Service Delivery Head Tookitaki is seeking a Project Manager to drive successful client project execution, ensuring alignment with best practices, business objectives, and compliance requirements. This role will be responsible for managing client expectations, coordinating with remote deployment teams, and maintaining project standards in a fast-paced, high-impact environment. The ideal candidate has experience in B2B SaaS, compliance technology, and client-facing project management with a track record of delivering high customer satisfaction. Position Purpose The Project Manager plays a critical role in ensuring the successful execution of client projects, aligning with Tookitaki’s corporate strategy and delivery standards. The role involves project planning, risk management, stakeholder coordination, and reporting, ensuring projects are executed efficiently and effectively. By establishing and maintaining project management frameworks, this position ensures consistency, drives operational excellence, and enhances customer experience. Key Responsibilities 1. Project Execution & Governance Establish and enforce project management standards and best practices across the organization. Ensure all projects align with corporate strategy, compliance objectives, and client needs. Manage project scope, timelines, dependencies, and risks effectively. 2. Client Engagement & Expectation Management Act as the primary point of contact for external clients, ensuring seamless communication and delivery. Manage client expectations, proactively addressing concerns and setting realistic, achievable goals. Maintain high customer satisfaction through structured project execution and effective communication. 3. Operational Efficiency & Reporting Integrate data from multiple projects to provide a holistic view of project performance. Prepare weekly project portfolio updates and high-level summaries for senior management. Drive process improvements to enhance efficiency, scalability, and project success rates. 4. Cross-Functional Collaboration & Leadership Work closely with remote deployment teams to ensure seamless project execution. Coach, mentor, and train project managers and delivery teams on project management best practices. Align project execution with business growth objectives and evolving compliance requirements. 5. Risk & Issue Management Identify, analyze, and mitigate project risks to prevent delays and bottlenecks. Develop and implement contingency plans to address unforeseen project challenges. Ensure adherence to regulatory and compliance requirements relevant to project execution. 6. Client Negotiation & Expectation Management Serve as the primary point of contact for clients, ensuring smooth communication and proactive resolution of challenges. Negotiate effectively with demanding clients, managing expectations around timelines, scope, and deliverables. Develop a structured approach to setting, aligning, and reinforcing expectations across stakeholders to drive successful project execution. 7. Cluster-Level Oversight Oversee project delivery across multiple countries in the assigned regions. Work closely with regional teams, deployment engineers, and client stakeholders to ensure seamless execution and alignment with local market requirements. Implement standardized project governance frameworks across geographies while allowing flexibility for region-specific nuances. 8. Enterprise Implementation Expertise Lead the end-to-end execution of large-scale enterprise project rollouts, ensuring smooth integration with client systems. Drive project success by applying expertise in fintech, payments, compliance technology, or complex B2B SaaS implementations. Establish and monitor KPIs for project success, ensuring on-time, high-quality delivery that meets business objectives. 9. Technical & Business Acumen Possess a deep understanding of business operations and technology to bridge the gap between technical teams and client requirements. Ensure alignment between technical solutions and business goals, effectively communicating complex concepts to both technical and non-technical stakeholders. Drive continuous process improvements to enhance scalability, operational efficiency, and project success rates. 10. Strong Leadership in a High-Growth Environment Exhibit strong decision-making and problem-solving skills to navigate fast-paced, high-growth environments. Lead cross-functional teams, fostering collaboration between pre-sales, deployment, sales, and client success teams. Adapt quickly to evolving priorities, ensuring agile execution, risk mitigation, and operational excellence. Key OKRs Ensure 100% on-time project delivery across all client engagements. Achieve high client satisfaction scores (above 90%) through structured project execution. Implement standardized project management frameworks across teams within 6 months. Reduce project risks and issues by 30% through proactive risk management strategies. Maintain 100% compliance with internal and external regulatory requirements in all projects. Qualifications and Skills Education: Bachelor’s or Master’s degree in Business Administration, Finance, Project Management, or related field. CAMS certification (preferred). Experience: Overall 10+ years of experience, with 5 - 8 years of experience in financial services, banking, or compliance technology. 3-4 years of experience in Tier 1 or Tier 2 consulting firms (McKinsey, BCG, Bain, Accenture, EY, KPMG, ATK). Proven experience in B2B software product/solution project management. Technical Expertise: Strong proficiency in Microsoft PowerPoint, Excel, and project management tools. Experience working in fast-paced startup/scale-up environments. Familiarity with agile project management methodologies. Soft Skills: Strong problem-solving and critical thinking skills to drive project success. Excellent communication and presentation skills to interact with senior stakeholders. Ability to manage multiple projects simultaneously in a high-pressure environment. Proactive and adaptable mindset, able to adjust to changing business needs. Key Competencies Client-Centric Execution: Ability to manage client relationships and expectations effectively. Project Governance & Risk Management: Expertise in establishing and enforcing project standards. Strategic Thinking: Ability to align projects with corporate strategy and compliance objectives. Cross-Team Collaboration: Works seamlessly with remote teams, stakeholders, and business leaders. Process Optimization: Continuously improves project management methodologies for scalability and efficiency. Success Metrics Deliver 100% of projects within agreed timelines and scope. Maintain a client satisfaction score of 90%+. Successfully implement a project governance framework across teams within six months. Reduce project delays and risk occurrences by 30%. Ensure seamless coordination across remote deployment teams for high-quality delivery. Benefits Competitive Salary aligned with industry benchmarks. Flexible working hours & remote work options. Comprehensive Health & Dental Insurance. Opportunities for career progression in a fast-growing company. Introducing Tookitaki Tookitaki: The Trust Layer for Financial Services Tookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars: preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance. How We Build Trust: Our Unique Value Propositions AFC Ecosystem – Community-Driven Financial Crime Protection: The Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics. Leading digital banks and payment platforms rely on Tookitaki to protect them against evolving financial crime threats. By joining this ecosystem, institutions benefit from the collective intelligence of top industry players, ensuring robust protection. FinCense – End-to-End Compliance Platform: Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention—from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance, providing the peace of mind they need as they scale. Industry Recognition and Global Impact Tookitaki’s innovative approach has been recognized by some of the leading financial entities in Asia. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer, Forbes Asia 100 to Watch, and Chartis RiskTech100. Serving some of the world’s most prominent banks and fintech companies, Tookitaki is continuously redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.

Job Title : Engineering Manager(Application) Location: Bangalore, India Department: Engineering Reports to: VP Engineering We are currently seeking an experienced Engineering Manager with a robust technical background and a track record of hands-on development, particularly in technologies such as Apache Spark and Kubernetes. The ideal candidate will possess profound coding skills in Scala and have a history of leading design innovations that significantly enhance application performance, system availability, and elastic scaling. As a strict yet supportive manager and mentor, this role demands a balance of driving on-time, high-quality releases, while fostering an environment of growth and development among team members. Roles & responsibilities: Technical Leadership: Guide the engineering team in the adoption and mastery of specific tech stacks like Apache Spark, Reactjs, Flink, Kubernetes, and Scylla DB. Ensure the team is updated with the latest technological advancements and best practices. Hands-on Development: Maintain an active role in coding, particularly in Scala, and lead by example. Participate in and lead design innovations that result in significant improvements in application performance, system availability, and the ability to scale elastically. Project Management: Oversee multiple projects from inception to completion, ensuring that all deliverables meet the highest quality standards and are delivered on schedule. Implement and refine project management processes to streamline workflow and increase efficiency. Mentorship and Team Development: Serve as a strict yet supportive mentor to the engineering team. Foster professional growth and development by setting clear expectations, providing regular feedback, and conducting performance evaluations. Quality Assurance: Uphold high standards for code quality, documentation, and testing. Implement best practices for continuous integration and deployment and ensure that all releases meet rigorous quality assurance criteria. Collaboration and Communication: Facilitate effective communication within the engineering team and across departments. Work closely with product managers, designers, and other stakeholders to ensure alignment of goals and seamless collaboration. Requirements: Bachelor's or Master's degree in Computer Science from top institutions in India At least 12 years of experience in software development, with a minimum of 5 years in a leadership role managing 6-8 direct reportees. Extensive hands-on experience with technologies such as Scala, Reactjs, Apache Spark, Flink, Kubernetes, and Scylla DB. Proven track record of being an open-source committer for Apache Spark: this is a must-have. Proven track record as a hands-on coder in Scala, with preferred knowledge in AI or machine learning. Demonstrated ability to lead teams to deliver on-time and high-quality software releases. This is a must-have. Strong project management skills, with experience in agile methodologies. Exceptional problem-solving abilities and a keen attention to detail. Excellent verbal and written communication skills. Personal Attributes: Strategic Thinker: Able to see the big picture and develop long-term strategies while also paying attention to detail. Problem Solver: Capable of troubleshooting and resolving issues quickly and efficiently. Adaptable: Able to thrive in a fast-paced, dynamic environment and manage changing priorities. Collaborative: Works well with others and can build strong relationships with team members, and stakeholders. Creative : Brings innovative ideas to the table and is always looking for new ways to engage clients and improve sales strategies. Key Metrics to Track: Team Velocity: Measures the team's productivity and output over time. On-time Delivery : Tracks the percentage of projects or features delivered on schedule. Code Quality : Assesses code reviews, defect rates, and technical debt. Team Retention and Satisfaction: Evaluates employee turnover and satisfaction levels. System Reliability and Uptime : Measures downtime and system performance. Innovation and Improvement : Assesses contributions to new ideas, processes, or technologies. Cross-functional Collaboration : Evaluates effective communication and collaboration with other departments. Introducing Tookitak i Tookitaki is positioned as one of the most intelligent financial crime prevention platforms available. This distinction is driven by our innovative use of collective intelligence and a federated approach. Our Anti-Financial Crime (AFC) Ecosystem leverages an expert network that continuously updates and shares knowledge, acting as a force multiplier. This collaborative model significantly outperforms the siloed approaches used by our competitors, ensuring our clients benefit from the most comprehensive and up-to-date financial crime prevention strategies. Our Anti-Financial Crime (AFC) Ecosystem leverages a vast, community-driven repository of financial crime patterns, continuously updated by industry experts. Leading digital banks and payment platforms across Asia, including GXS, Tencent, Maya trust this approach to stay protected against evolving money laundering and fraud tactics. By joining this ecosystem, our clients can benefit from the collective intelligence of top industry players, ensuring unparalleled protection.

Position Overview Job Title: Software Development Engineer 2 Department: Technology Location: Bangalore, India Reporting To: Senior Research Manager - Data Position Purpose The Research Engineer Data will play a pivotal role in advancing TookiTaki s AI-driven compliance and financial crime prevention platforms through applied research, experimentation, and data innovation. This role is ideal for professionals who thrive at the intersection of research and engineering, turning cutting-edge data science concepts into production-ready capabilities that enhance TookiTaki s competitive edge in fraud prevention, AML compliance, and data intelligence. The role exists to bridge research and engineering by: Designing and executing experiments on large, complex datasets. Prototyping new data-driven algorithms for financial crime detection and compliance automation. Collaborating across product, data science, and engineering teams to transition research outcomes into scalable, real-world solutions. Ensuring the robustness, fairness, and explainability of AI models within TookiTaki s compliance platform. Key Responsibilities Applied Research & Prototyping Conduct literature reviews and competitive analysis to identify innovative approaches for data processing, analytics, and model development. Build experimental frameworks to test hypotheses using real-world financial datasets. Prototype algorithms in areas such as anomaly detection, graph-based analytics, and natural language processing for compliance workflows. Data Engineering for Research Develop data ingestion, transformation, and exploration pipelines to support experimentation. Work with structured, semi-structured, and unstructured datasets at scale. Ensure reproducibility and traceability of experiments. Algorithm Evaluation & Optimization Evaluate research prototypes using statistical, ML, and domain-specific metrics. Optimize algorithms for accuracy, latency, and scalability. Conduct robustness, fairness, and bias evaluations on models. Collaboration & Integration Partner with data scientists to transition validated research outcomes into production-ready code. Work closely with product managers to align research priorities with business goals. Collaborate with cloud engineering teams to deploy research pipelines in hybrid environments. Documentation & Knowledge Sharing Document experimental designs, results, and lessons learned. Share best practices across engineering and data science teams to accelerate innovation. Qualifications and Skills Education Required: Bachelor s degree in Computer Science, Data Science, Applied Mathematics, or related field. Preferred: Master s or PhD in Machine Learning, Data Engineering, or a related research intensive field. Experience Minimum 4 7 years in data-centric engineering or applied research roles. Proven track record of developing and validating algorithms for large-scale data processing or machine learning applications. Experience in financial services, compliance, or fraud detection is a strong plus. Technical Expertise Programming: Proficiency in Scala, Java, or Python. Data Processing: Experience with Spark, Hadoop, and Flink. ML/Research Frameworks: Hands-on with TensorFlow, PyTorch, or Scikit-learn. Databases: Experience with both relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, ElasticSearch). Cloud Platforms: Experience with AWS (preferred) or GCP for research and data pipelines. Tools: Familiarity with experiment tracking tools like MLflow or Weights & Biases. Application Deployment: Strong experience with CI/CD practices, Containerized Deployments through Kubernetes, Docker, etc. Streaming frameworks: Strong experience in creating highly performant and scalable real time streaming applications with Kafka at the core Data Lakehouse: Experience with one of the modern data lakehouse platforms/formats such as Apache Hudi, Iceberg, Paimon is a very strong plus. Soft Skills Strong analytical and problem-solving abilities. Clear, concise communication skills for cross-functional collaboration. Adaptability in fast-paced, evolving environments. Curiosity-driven with a bias towards experimentation and iteration. Key Competencies Innovation Mindset : Ability to explore and test novel approaches that push boundaries in data analytics. Collaboration: Works effectively with researchers, engineers, and business stakeholders. Technical Depth: Strong grasp of advanced algorithms and data engineering principles. Problem Solving: Dives deep into the logs, metrics and code and identifying problems, opportunities for performance tuning and optimization Ownership: Drives research projects from concept to prototype to production. Adaptability: Thrives in ambiguity and rapidly changing priorities. Preferred Certifications in AWS Big Data, Apache Spark, or similar technologies. Experience in compliance or financial services domains. Success Metrics Research to Production Conversion: % of validated research projects integrated into TookiTaki s platform. Model Performance Gains: Documented improvements in accuracy, speed, or robustness from research initiatives. Efficiency of Research Pipelines: Reduced time from ideation to prototype completion. Collaboration Impact: Positive feedback from cross-functional teams on research integration. Benefits Competitive Salary : Aligned with industry standards and experience. Professional Development : Access to training in big data, cloud computing, and data integration tools. Comprehensive Benefits : Health insurance and flexible working options. Growth Opportunities : Career progression within Tookitaki s rapidly expanding Services Delivery team. Introducing Tookitaki Tookitaki: The Trust Layer for Financial Services Tookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars: preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance. How We Build Trust: Our Unique Value Propositions AFC Ecosystem Community-Driven Financial Crime Protection The Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics. Leading digital banks and payment platforms rely on Tookitaki to protect them against evolving financial crime threats. By joining this ecosystem, institutions benefit from the collective intelligence of top industry players, ensuring robust protection. FinCense End-to-End Compliance Platform Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance, providing the peace of mind they need as they scale. Industry Recognition and Global Impact Tookitaki s innovative approach has been recognized by some of the leading financial entities in Asia. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer, Forbes Asia 100 to Watch, and Chartis RiskTech100. Serving some of the world s most prominent banks and fintech companies, Tookitaki is continuously redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone. ",

Cloud Ops & Monitoring Engineer Job Title: Cloud Ops & Monitoring Engineer Location: Bangalore Department: Technology Reporting To: Cloud Infra Director Position Overview Tookitaki is seeking a Cloud Ops & Monitoring Engineer to ensure the stability, performance, and security of our cloud-based infrastructure across all product offerings. This role is crucial in maintaining high availability , optimizing cloud operations , and proactively monitoring our cloud environments . The ideal candidate will have deep expertise in cloud platforms, automation , and observability tools to drive incident response, cost optimization , and operational efficiency . Position Purpose The Cloud Ops & Monitoring Engineer is responsible for monitoring, optimizing, and maintaining Tookitaki s cloud infrastructure. This role ensures high system reliability , proactive incident management , and efficient resource utilization . By leveraging automation and advanced monitoring tools , the engineer will drive operational excellence , minimize downtime , and enhance cloud security . Key Responsibilities Cloud Operations Management Monitor and manage cloud infrastructure (AWS, GCP, Azure) for performance, availability, and security . Ensure 99.99% uptime of mission-critical systems through proactive maintenance and incident resolution . Implement best practices for cloud governance, cost optimization , and capacity planning . Monitoring & Incident Response Set up and maintain observability tools ( Prometheus, Grafana, ELK stack, Datadog, New Relic ). Develop real-time monitoring and alerting mechanisms to detect anomalies before they impact operations. Act as the first responder for production incidents, ensuring swift issue resolution and root cause analysis . Automation & Infrastructure Optimization Develop and maintain Infrastructure as Code (IaC) scripts ( Terraform, CloudFormation ) for cloud automation . Automate cloud scaling, log management, and incident resolution workflows. Optimize cloud environments for performance, security , and cost efficiency . Security & Compliance Enforcement Implement security best practices , including IAM policies, encryption , and vulnerability management . Work closely with security teams to detect and mitigate threats in cloud environments . Ensure compliance with global financial regulatory standards ( GDPR, PCI-DSS, SOC 2 ). Cross-Team Collaboration & Reporting Collaborate with DevOps, Security, and Development teams to enhance cloud performance. Provide operational insights and reports on cloud system health, trends, and optimization opportunities. Document incident reports, troubleshooting steps , and operational playbooks for continuous learning. Key OKRs Maintain 99.99% system uptime by proactively monitoring and resolving cloud incidents. Reduce cloud operational costs by 20% through optimization and automation. Automate 80% of cloud monitoring and alerting processes within six months. Ensure 100% compliance with cloud security policies and regulatory standards. Improve MTTR (Mean Time to Resolution) by 30% for critical incidents. Qualifications and Skills Education Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. Certifications in AWS, Azure, Google Cloud, or Kubernetes ( preferred ). Experience 5+ years of experience in cloud operations, monitoring , or DevOps roles. Proven experience in managing highly available, production-grade cloud environments . Technical Expertise Proficiency in AWS, GCP , or Azure cloud services . Strong hands-on experience with monitoring tools ( Prometheus, Grafana, ELK, Datadog, New Relic ). Expertise in Infrastructure as Code (IaC) tools ( Terraform, CloudFormation ). Experience with containerization and orchestration ( Docker, Kubernetes ). Knowledge of cloud security , IAM policies , encryption , and threat detection . Familiarity with CI/CD pipelines, scripting ( Python, Bash ), and cloud automation . Soft Skills Analytical mindset with strong troubleshooting and problem-solving abilities . Excellent communication skills to work cross-functionally with multiple teams. Proactive and detail-oriented , with a focus on continuous improvement . Ability to work in a fast-paced, dynamic environment with tight deadlines . Key Competencies Cloud Monitoring & Performance Optimization: Ensures system health and efficiency through real-time observability. Incident Management & Troubleshooting: Rapidly diagnoses and resolves production issues with minimal downtime. Automation & Infrastructure Management: Implements self-healing and scalable cloud solutions. Security & Compliance Awareness: Ensures adherence to regulatory standards and cloud security best practices. Cross-Functional Collaboration: Works closely with engineering, security, and DevOps teams to enhance cloud operations. Success Metrics Maintain 99.99% system uptime , ensuring minimal service disruption. Reduce MTTR (Mean Time to Resolution) for critical incidents by 30% . Automate 80% of cloud monitoring and incident response workflows. Optimize cloud resource utilization , achieving a 20% cost reduction . Implement a fully operational cloud observability framework within six months. Benefits Competitive Salary: Aligned with industry standards and experience. Professional Development: Access to training in big data, cloud computing , and data integration tools . Comprehensive Benefits: Health insurance and flexible working options . Growth Opportunities: Career progression within Tookitaki s rapidly expanding Services Delivery team . ",

Job Title : Engineering Manager Location: Bangalore, India Department: Technology Reports to: VP Engineering We are currently seeking an experienced Senior Engineering Manager with a robust technical background and a track record of hands-on development, particularly in technologies such as Apache Spark and Kubernetes. The ideal candidate will possess profound coding skills in Scala and have a history of leading design innovations that significantly enhance application performance, system availability, and elastic scaling. As a strict yet supportive manager and mentor, this role demands a balance of driving on-time, high-quality releases, while fostering an environment of growth and development among team members. Roles & responsibilities: Technical Leadership: Guide the engineering team in the adoption and mastery of specific tech stacks like Apache Spark, Reactjs, Flink, Kubernetes, and Scylla DB. Ensure the team is updated with the latest technological advancements and best practices. Hands-on Development: Maintain an active role in coding, particularly in Scala, and lead by example. Participate in and lead design innovations that result in significant improvements in application performance, system availability, and the ability to scale elastically. Project Management: Oversee multiple projects from inception to completion, ensuring that all deliverables meet the highest quality standards and are delivered on schedule. Implement and refine project management processes to streamline workflow and increase efficiency. Mentorship and Team Development: Serve as a strict yet supportive mentor to the engineering team. Foster professional growth and development by setting clear expectations, providing regular feedback, and conducting performance evaluations. Quality Assurance: Uphold high standards for code quality, documentation, and testing. Implement best practices for continuous integration and deployment and ensure that all releases meet rigorous quality assurance criteria. Collaboration and Communication: Facilitate effective communication within the engineering team and across departments. Work closely with product managers, designers, and other stakeholders to ensure alignment of goals and seamless collaboration Requirements: Bachelors or Masters degree in Computer Science from top institutions in India At least 12 years of experience in software developmen t, with a minimum of 5 years in a leadership role managing 6-8 direct reportees. Extensive hands-on experience with technologies such as Apache Spark, Flink, Kubernetes, Reactjs and Scylla DB. Proven track record of being an open-source committer for Apache Spark: this is a must-have. Proven track record as a hands-on coder in Scala, with preferred knowledge in AI or machine learning. Demonstrated ability to lead teams to deliver on-time and high-quality software releases. This is a must-have. Strong project management skills, with experience in agile methodologies . Exceptional problem-solving abilities and a keen attention to detail. Excellent verbal and written communication skills. Personal Attributes: Strategic Thinker: Able to see the big picture and develop long-term strategies while also paying attention to detail. Problem Solver: Capable of troubleshooting and resolving issues quickly and efficiently. Adaptable : Able to thrive in a fast-paced, dynamic environment and manage changing priorities. Collaborative : Works well with others and can build strong relationships with team members, and stakeholders. Creative : Brings innovative ideas to the table and is always looking for new ways to engage clients and improve sales strategies. Key Metrics to Track: Team Velocity: Measures the teams productivity and output over time. On-time Delivery : Tracks the percentage of projects or features delivered on schedule. Code Quality : Assesses code reviews, defect rates, and technical debt. Team Retention and Satisfaction : Evaluates employee turnover and satisfaction levels. System Reliability and Uptime : Measures downtime and system performance. Innovation and Improvement: Assesses contributions to new ideas, processes, or technologies. Cross-functional Collaboration : Evaluates effective communication and collaboration with other departments. ",

Frontend Engineer Job Title: Frontend Engineer Department: Technology Location: Bangalore Reporting To: Head of Engineering Position Overview Tookitaki is seeking a Frontend Engineer with a passion for clean, modern UI/UX and a strong background in building scalable, data-intensive web applications . You will play a key role in delivering the client-facing interface of Tookitaki s AI-powered platforms FinCense and the AFC Ecosystem which enable real-time fraud detection and AML compliance for leading financial institutions. This role sits at the intersection of engineering, product, and design , and requires a detail-oriented developer who can bring complex compliance workflows to life with intuitive dashboards , seamless interactions, and enterprise-grade performance. Position Purpose As a Frontend Engineer at Tookitaki, your core responsibility is to build responsive, interactive, and robust interfaces that allow compliance professionals to navigate financial crime detection tools with ease. You will collaborate with backend engineers, product managers, and data scientists to deliver visually compelling and highly functional web applications that bring transparency, usability, and control to compliance teams worldwide. Key Responsibilities UI Development & Dashboard Engineering Build and maintain modern, responsive user interfaces using ReactJS , Angular , HTML , CSS , and JavaScript Develop interactive dashboards that present real-time insights into financial crime patterns, alerts, and workflows Ensure cross-browser compatibility and a consistent user experience across platforms Web Application Architecture Build and scale robust, high-volume web applications for enterprise environments Integrate with backend APIs and real-time data pipelines to support compliance monitoring features Implement front-end architecture best practices to ensure maintainability and performance Prototyping & UX Collaboration Rapidly prototype features based on product specs and UX wireframes Collaborate with product designers and stakeholders to validate UI designs and workflows Engineering Best Practices Use modular development , version control ( Git ), automated testing , and code reviews Optimize applications for performance, accessibility, and security Cross-Functional Collaboration Work closely with backend engineers, DevOps , and QA teams Collaborate with product and data science teams to visualize data models and user analytics Qualifications and Skills Education Bachelor s or Master s degree in Computer Science, Engineering , or a related field from a reputed institution Experience 5 8 years of experience in frontend/UI development in fast-paced, high-growth environments Proven experience in building and scaling enterprise-grade web applications Technical Expertise Proficiency in JavaScript, HTML5, CSS3 Deep expertise in ReactJS (including Redux, Redux-Saga, Webpack, NPM) Working knowledge of Angular Familiarity with UI testing , performance optimization, and responsive design Exposure to RESTful APIs , cloud platforms (AWS/GCP), and containerized deployments is a plus Soft Skills Strong attention to detail and focus on design-to-code precision Ability to collaborate across teams and communicate technical ideas clearly Passion for user experience and intuitive front-end architecture Eagerness to learn and adopt the latest UI technologies and frameworks Key Competencies Modern Frontend Engineering Building scalable, modular, and performant web applications UX-Driven Development Translating product and UX requirements into responsive, interactive interfaces Cross-Functional Collaboration Working with designers, backend engineers, and data teams Code Quality & Best Practices Applying testing, version control, and code reviews in production Continuous Learning Staying current with frontend frameworks and tooling Success Metrics On-time delivery of high-quality features with zero critical bugs Reduction in frontend load times and rendering issues High user satisfaction scores for UI/UX Contribution to a scalable UI framework for faster future development Active participation in code reviews and internal knowledge sharing Benefits Competitive compensation with performance-linked incentives Opportunity to work on mission-critical compliance tools used by leading banks and fintechs Collaborative, fast-paced, and innovation-driven engineering culture Be part of an award-winning company recognized by World Economic Forum , Chartis , and Forbes ",

Cloud Engineer Job Title: Cloud Engineer Location: Bangalore Department: Technology Reports To: Head of Cloud Infra Position Overview Tookitaki, a global leader in AI-driven regulatory compliance solutions , is seeking a Cloud Engineer to design, optimize, and automate scalable cloud infrastructure . With our growing platform and global presence, we need a dynamic engineer to enhance our cloud architecture , ensure cost-effective operations , and drive efficiency in deployment and incident management . This role is critical to advancing our mission of providing reliable, scalable, and high-performance infrastructure that supports the development of our cutting-edge solutions . Roles & responsibilities: Cloud Architecture Design Design scalable and reliable cloud solutions using AWS and GCP. Ensure architectures meet performance, security, and scalability requirements. Resource Optimization Analyze and optimize cloud resource allocation to minimize costs. Implement cost-effective solutions for infrastructure management. CI/CD Automation Automate CI/CD pipelines to streamline deployment processes. Manage and enhance deployment workflows to reduce lead times. Infrastructure Development Develop and maintain core data processing and service layers. Ensure seamless integration of services to support scalable operations. Incident Management Act as an escalation point for production incidents, ensuring swift resolution. Proactively monitor systems and address issues to maintain uptime. Security & Compliance Implement and maintain standards for PCI-DSS compliance, ensuring secure data handling across cloud infrastructure. Conduct compromise assessments to proactively identify vulnerabilities and respond to potential breaches. Lead patch management cycles to ensure system integrity and minimize security risks. Disaster Recovery & Testing Plan and execute Disaster Recovery (DR) drills, ensuring business continuity and data protection in alignment with recovery time objectives (RTOs) and recovery point objectives (RPOs). OKRs Design and implement a scalable cloud architecture ensuring 99.9% uptime . Reduce cloud operational costs by 20% within six months. Automate 90% of deployment processes, reducing deployment time by 50% . Ensure average incident resolution time is less than 30 minutes for critical production issues. Develop a comprehensive monitoring and alerting system within three months. Requirements Education Required: Bachelor s degree in Computer Science, Engineering , or a related field. Preferred: Master s degree in Cloud Computing, Infrastructure Engineering , or equivalent. Experience Minimum 8 to 10 years of experience in cloud engineering or a similar role. Proven expertise in managing and optimizing cloud platforms ( AWS/GCP ). Technical Expertise Proficiency in cloud platforms like AWS and GCP . Hands-on experience with Infrastructure as Code tools ( Terraform, CloudFormation ). Strong understanding of CI/CD tools ( Jenkins, GitLab CI/CD ). Experience with containerization ( Docker ) and orchestration ( Kubernetes ). Expertise in monitoring and logging tools ( Prometheus, Grafana, ELK stack ). Proficiency in programming languages like Python, Go, or Java . Soft Skills Strong problem-solving and analytical abilities . Excellent communication skills to collaborate with cross-functional teams . Ability to work in a fast-paced, dynamic environment . Key Competency Infrastructure Expertise: Deep understanding of cloud platforms and scalable architecture design . Automation and Optimization: Ability to streamline processes and improve cost-efficiency . Collaboration: Work effectively with engineering and operational teams . Ownership: Take full responsibility for the cloud infrastructure and its performance. Adaptability: Thrive in dynamic and rapidly changing environments . Success Metrics Maintain 99.9% uptime across all cloud infrastructure. Achieve a 20% reduction in cloud costs within six months. Complete automation of CI/CD pipelines , reducing deployment lead times by 50% . Resolve critical production incidents within 30 minutes on average. Implement a robust monitoring system with minimal false alerts . Benefits Competitive Salary: Aligned with industry standards and experience . Professional Development: Access to training in big data, cloud computing , and data integration tools . Comprehensive Benefits: Health insurance and flexible working options . Growth Opportunities: Career progression within Tookitaki s rapidly expanding Services Delivery team . ",

Job Title : SDET Location: Bangalore Department: Engineering Reports to: Team Lead/Engineering Manager Tookitaki is looking for a highly skilled and detail-oriented SDET with 6 years of experience to join our team in Bangalore. This role is critical in ensuring the quality and reliability of our B2B AML (Anti-Money Laundering) solutions. The ideal candidate will have a strong background in automation testing, software development, and a keen understanding of QA best practices, particularly within the B2B and financial services sector. Roles & responsibilities: Test Automation Development: Design, develop, and maintain automated test scripts for web and API testing. Enhance the existing automation framework and add the new tests to improve test coverage for critical product features. Collaborate with development teams to integrate automated tests into CI/CD pipelines. Quality Assurance Work closely with developers and product managers to understand requirements and define test scenarios and test cases. Perform thorough regression testing before product releases to ensure quality and performance. Identify, report, and track bugs, ensuring timely resolution Test Strategy & Planning: Develop comprehensive test plans, strategies, and schedules based on product requirements. Define and implement testing standards and best practices to ensure high-quality releases. Plan and execute sanity, regression, performance, load, and security testing. Collaboration & Communication: Work with cross-functional teams (engineering, product, and support) to ensure smooth delivery of features. Provide feedback on feature functionality, performance, and scalability to the development team. Actively participate in code reviews and provide input on automation testability.. Documentation & Reporting: Create detailed test reports and documentation for the automated tests developed. Regularly update test results and provide clear, actionable feedback to the QA and development teams. Maintain test documentation, including test cases, test scripts, and test data. Customer-Focused Testing: Ensure that all tests align with customer expectations, providing a seamless experience for end-users. Conduct testing in production-like environments, identifying and addressing potential issues early OKR Ensure 95% test automation coverage within the first 6 months of joining. Identify and resolve 90% of critical defects before they reach production environments. Reduce the time for test execution by 20% through optimization of test scripts and frameworks. Collaborate with the development team to achieve at least 99% uptime and reliability of AML products. Requirements: Education: Bachelor s degree in Computer Science, Engineering, or a related field Experience: Minimum of 6 years of experience in software testing and automation in a B2B technology or financial services company. Proven experience in developing and maintaining test automation frameworks using tools like Selenium, JUnit, TestNG, etc. Strong knowledge of programming languages such as Java, Python, or similar. Experience in API testing and API automation using Java-RestAssured. Hand-on-experience in load testing/performance testing using JMeter. Hands-on experience with build automation tools like Jenkins, Maven, etc. Experience with python scripting would be a plus. Experience with AI and ML product testing would be a plus. Skills: Proficiency in CI/CD tools (e.g., Jenkins, Docker) and cloud environments (e.g., AWS, Azure). Strong understanding of software development methodologies, especially Agile and Scrum. Experience with version control systems like Git. Attributes: Excellent problem-solving and analytical skills. Strong attention to detail and ability to work independently or as part of a team. Adaptability to work in a fast-paced, dynamic environment. ",

Position Overview Job Title: Deployment Engineer Department: Services Delivery Reporting To: Regional Head of Service Delivery The Deployment Engineer is a critical technical role within Tookitaki s Services Delivery team. This position is responsible for deploying Tookitaki s FinCense platform across both on-premise and cloud-hosted (CaaS) environments. The role requires a strong understanding of infrastructure, system integrations, and big data technologies to ensure successful deployments for banking and fintech clients. Position Purpose The Deployment Engineer ensures smooth and efficient deployment of Tookitaki s FinCense platform by working closely with internal teams and client stakeholders. This includes end-to-end deployment, configuration, and initial troubleshooting, ensuring the platform is fully functional and integrated into the client s infrastructure. This role is critical for achieving a seamless transition during the implementation phase, setting the foundation for client success. Key Responsibilities 1. Deployment of FinCense Platform On-Premise Deployment: Install and configure the entire FinCense platform on the client s infrastructure. Ensure full integration with the client s existing systems and databases. Conduct rigorous testing to validate deployment success. CaaS Deployment: Install and configure client tenants on Tookitaki s cloud-hosted infrastructure (AWS/GCP). Ensure scalability and seamless operation within Tookitaki s hosted cloud environment. 2. System Configuration and Integration Configure system settings, APIs, and data pipelines to meet client-specific requirements. Collaborate with Data Engineers to integrate client data into the platform. Optimize system performance to ensure stability and scalability. 3. Client Collaboration and Support Work closely with the Client Enablement team to gather deployment requirements and ensure alignment with client needs. Provide technical guidance to client teams during the deployment phase. Act as the primary technical point of contact for all deployment-related queries. 4. Post-Deployment Validation Conduct end-to-end system tests to validate the platform s performance and functionality. Resolve any deployment issues and ensure the platform meets agreed-upon SLAs. Document deployment processes and configurations for future reference. 5. Collaboration with Cross-Functional Teams Work closely with Product Management and Engineering teams to address technical challenges during deployment. Provide feedback on deployment experiences to improve product features and deployment efficiency. Support the Client Enablement and Support teams during the handover process. Qualifications and Skills Education Required: Bachelor s degree in Computer Science, IT, or a related technical field. Preferred: Master s degree in IT, Cloud Computing, or Big Data Analytics. Experience Minimum: 6 years of experience in system deployment, cloud computing, or IT infrastructure roles. Proven expertise in deploying SaaS platforms or big data systems for financial or regulated industries. Technical Expertise Big Data Technologies: Strong knowledge of Hadoop, Spark, Hive, Kubernetes, and Docker. Cloud Infrastructure: Hands-on experience with AWS (preferred) or GCP, including EC2, S3, and VPC configurations. System Integration: Proficient in integrating systems via APIs, connectors, and middleware solutions. Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell. Soft Skills Excellent problem-solving and troubleshooting skills. Strong communication skills to interact with technical and non-technical stakeholders. Ability to manage multiple deployments simultaneously while meeting deadlines. Preferred Certifications in AWS, Kubernetes, or Big Data technologies. Experience with AML and fraud detection systems is a strong plus. Key Competencies Client-Centric Approach: Focused on delivering high-quality deployments tailored to client needs. Technical Acumen: Expertise in big data and cloud technologies to ensure flawless deployments. Collaboration: Works effectively with cross-functional teams to ensure deployment success. Ownership: Takes full responsibility for deployment activities and outcomes. Adaptability: Thrives in dynamic environments with changing requirements. Success Metrics Deployment Accuracy: 100% of deployments completed successfully without post-deployment issues. Timeliness: Deployments delivered within agreed timelines for both on-premise and CaaS clients. System Performance: Achieve target SLAs for platform performance and stability post-deployment. Client Satisfaction: Positive feedback from clients on deployment experience and system functionality. Knowledge Sharing: Maintain and share deployment documentation to improve team efficiency. ",

Position Overview Job Title: Applied Research Engineer Location: India Department: Technology Reporting To: Head of Research Tookitaki is seeking an Applied Research Engineer with 6+ years of experience to lead cutting-edge AI and machine learning research in regulatory compliance and financial crime detection. This role will focus on developing innovative AI models , optimizing algorithms, and translating research into real-world applications . The ideal candidate will have a strong foundation in machine learning, deep learning, and data science , along with experience in deploying research-driven solutions at scale. Position Purpose The Applied Research Engineer will play a pivotal role in advancing Tookitaki s AI-driven compliance solutions by developing novel AI/ML algorithms and ensuring their practical implementation. This role bridges the gap between research and production, focusing on algorithm development, experimentation, and optimization to enhance Tookitaki s capabilities in fraud detection, risk management, and anomaly detection . The role also involves collaborating with data scientists, engineers, and regulatory teams to create cutting-edge, regulatory-compliant AI solutions. Key Responsibilities 1. AI/ML Model Research & Development Research, design, and implement state-of-the-art AI/ML models for fraud detection, risk assessment, and financial crime prevention. Optimize models for accuracy, efficiency, and scalability across various financial datasets. Experiment with graph-based AI, deep learning, and unsupervised learning techniques to improve detection capabilities. 2. Algorithm Optimization & Innovation Develop new feature engineering and model selection techniques to enhance AI model performance. Optimize model inference speed for real-time and batch processing scenarios. Explore federated learning and privacy-preserving AI techniques to ensure data security and compliance. 3. Deployment & Engineering Collaboration Work closely with ML engineers and software developers to deploy AI models into production. Implement scalable AI pipelines that can handle large-scale financial data processing. Ensure AI solutions are explainable, interpretable, and aligned with regulatory requirements. 4. Data Analysis & Feature Engineering Analyze structured and unstructured financial datasets to extract meaningful features for ML models. Design and build robust data preprocessing pipelines to enhance model accuracy and generalization. Work with data engineering teams to ensure efficient and scalable data ingestion. 5. AI Ethics & Compliance Develop transparent and explainable AI models to meet financial industry compliance standards. Ensure AI models adhere to ethical AI guidelines, fairness, and bias mitigation strategies. Collaborate with legal and compliance teams to align AI research with evolving regulatory frameworks. Qualifications and Skills Education Master s or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or related field. Strong research background in AI/ML, deep learning, or statistical modeling. Experience 6+ years of experience in applied AI research, machine learning, or data science. Proven track record in developing and deploying AI/ML models in real-world applications. Experience working with financial datasets, fraud detection, or regulatory compliance AI models (preferred). Technical Expertise Strong programming skills in Python, TensorFlow, PyTorch, or JAX. Hands-on experience in NLP, anomaly detection, graph-based AI, and time-series analysis. Experience with big data processing frameworks (Spark, Hadoop) and cloud AI platforms (AWS/GCP). Expertise in model evaluation, hyperparameter tuning, and performance optimization. Knowledge of explainable AI (XAI), adversarial learning, and bias mitigation. Soft Skills Strong problem-solving skills and the ability to translate complex research into practical applications. Excellent collaboration and communication skills to work with cross-functional teams. Ability to balance research innovation with real-world constraints and scalability. Strong analytical mindset with a passion for continuous learning and innovation. Key Competencies 1. AI/ML Research & Development: Ability to research, prototype, and implement cutting-edge AI models. 2. Algorithm Optimization: Expertise in fine-tuning models for real-world applications and performance improvements. 3. Scalability & Deployment: Hands-on experience in deploying ML models at scale. 4. Regulatory & Compliance Awareness: Understanding of AI ethics, explainability, and financial regulations. 5. Cross-Team Collaboration: Works closely with engineering, product, and compliance teams to drive AI innovation. Success Metrics 1. Successfully develop and deploy at least two AI models per year to enhance Tookitaki s compliance solutions. 2. Improve model accuracy and efficiency by 20% through research-driven optimizations. 3. Ensure seamless deployment of AI models into production with 99.9% uptime. 4. Reduce false positives in financial fraud detection by 25%, improving risk assessment accuracy. 5. Publish at least one research paper or internal technical report annually on AI advancements. Benefits Competitive Salary: Aligned with industry standards and experience. Professional Development: Access to training in big data, cloud computing, and data integration tools. Comprehensive Benefits: Health insurance and flexible working options. Growth Opportunities: Career progression within Tookitaki s rapidly expanding Services Delivery team. ",

The ideal candidate for this role is someone who is passionate about providing personalized service and is enthusiastic about playing a pivotal role in expanding existing business and enhancing the lifetime value of customers. You should have a proven track record in building and scaling the support department for B2B enterprise SaaS organizations. A deep understanding of customer support strategies for both on-premises and cloud-deployed services is essential for this position. You will be responsible for managing and providing support services to Tookitakis on-premises and Cloud customers worldwide, including traditional banks and fintech companies. Leading an initial 7-member support team, you will ensure meeting SLAs for production incidents, quick response & resolution for service requests, and enhancing the net promoter score (NPS). Your responsibilities will include: - Leadership and Strategy: Leading the support team, setting strategic direction, and implementing support frameworks to ensure exceptional service delivery. - Process Development: Establishing robust support processes and frameworks to efficiently resolve client inquiries and issues. - Team Development: Recruiting, training, and mentoring a high-performing support team capable of delivering 24/7 support across different time zones. - Technical and Client Empathy: Demonstrating a strong technical understanding of products and showing empathy for client needs to provide knowledgeable and compassionate service. - Cross-functional Collaboration: Working closely with product, engineering, sales, and implementation teams to integrate support insights into product development and client onboarding processes. - Performance Metrics: Tracking key performance indicators like customer satisfaction, retention, resolution time, and net promoter score to assess the effectiveness of the support team. - Cost Management: Planning and managing the budget and resources of the support function efficiently. Key requirements for this role include: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 10+ years of experience in customer support/service roles within B2B enterprise SaaS organizations, with at least 7 years in a leadership position. - Demonstrated ability to lead and scale support teams, with hands-on experience in process development and team management. - Strong technical acumen with expertise in Apache Spark. - Exceptional communication and interpersonal skills with a client-centric approach. - Experience in setting up and managing support services across different time zones. - Proven track record of improving customer satisfaction and support efficiency. - Familiarity with support software, ticketing systems, and CRM tools like Freshservice. - Preferred experience with AML, Fraud, or Cybersecurity software.,

Position Overview Job Title: Product Manager Department: Product Location: Bangalore, India Reporting To: Group Product Manager Tookitaki is seeking a Product Manager with a minimum of 6 years of product management experience, hands-on experience in building fraud prevention solutions to join our dynamic Product team. The Product Manager will play a critical role in driving the evolution of Tookitaki’s AI-powered financial crime prevention platforms—FinCense and the Anti-Financial Crime (AFC) Ecosystem—working closely with cross-functional teams and clients, particularly across the ASEAN and Greater China markets. This is a high-impact role where you will be responsible for shaping features, gathering and prioritizing customer requirements, ensuring product-market fit, and enabling Tookitaki’s mission to build a trusted financial services ecosystem through real-time fraud detection and AML compliance Solutions. Position Purpose The Product Manager will drive the definition, development, and delivery of Tookitaki’s next- generation financial crime compliance solutions. This role ensures that client needs, industry trends, and regulatory requirements are accurately translated into product roadmaps and deliverables. As Tookitaki continues its global expansion, this role ensures that customer voices are heard, translated into actionable insights, and incorporated into the product strategy. Key Responsibilities 1. Product Strategy & Roadmap Execution Define, prioritize, and deliver product features aligned with Tookitaki’s vision for AML and fraud prevention. Bring hands-on experience in designing, launching, or optimizing fraud prevention products or modules, especially in the context of real-time payment ecosystems, card-not-present fraud, mule account detection, or behavioral scoring. Manage the product backlog, roadmaps, and release plans, ensuring timely delivery of product enhancements. Work closely with Sales, Customer Success, Engineering, and Data Science teams to ensure successful feature rollouts. 2. Customer & Market Insights Engage directly with customers (banks, fintechs, and regulators) across the ASEAN and Greater China regions to gather requirements, pain points, and feedback. Analyze industry trends, compliance regulations, and competitive landscapes to inform product decisions. 3. Requirements Gathering & Documentation Develop clear product requirements documents (PRDs), including user stories, acceptance criteria, and workflows. Collaborate with UI/UX designers to create wireframes and prototypes for key product features. 4. Cross-Functional Collaboration Act as the primary liaison between internal teams and customers, ensuring seamless communication and alignment. Conduct product demos, user acceptance testing (UAT) sessions, and enablement training for internal and external stakeholders. 5. Product Launch & Post-Launch Success Own the go-to-market readiness for product launches, working with marketing, customer success, and field teams. Monitor post-launch performance and adoption metrics to identify areas of improvement and further iteration. 6. Language and Regional Expertise Support regional clients and internal stakeholders by communicating effectively. Translate client discussions, feedback, and regulatory nuances into actionable product insights for the development team. Qualifications and Skills Education Bachelor’s or Master’s degree in Business, Engineering, Computer Science, or a related field. Experience Minimum 6 years of experience as a Product Manager, preferably in B2B SaaS, RegTech, fintech, or compliance technology. Prior experience engaging with clients in Asia Pacific markets, Demonstrated hands-on experience in fraud prevention, including direct involvement in defining fraud product features, collaborating with data scientists on scoring models, or implementing real-time fraud strategies. Technical Expertise Familiarity with Agile methodologies, Scrum processes, and modern product management tools (e.g., Jira, Confluence, Figma). Understanding of financial crime compliance (AML, fraud detection), AI/ML-driven products, or data platforms is a plus. Ability to work with technical teams on API design, data pipelines, and cloud-native product architectures. Language Requirements Soft Skills Strong analytical and problem-solving skills with an attention to detail. Ability to influence without authority and collaborate across departments. Customer-obsessed mindset, with a strong focus on delivering value through product excellence. Excellent presentation, documentation, and stakeholder management skills. Key Competencies Customer-Centric Product Thinking: Deep empathy for client challenges and ability to translate into product features. Strategic Roadmapping: Ability to define and prioritize product initiatives aligned with business goals. Cross-Cultural Communication: Comfort in working across languages, cultures, and regions. Execution Excellence: Proven track record of delivering products from ideation to launch in a fast-paced environment. Data-Driven Decision Making: Leverages metrics, feedback loops, and market research to guide product choices. Success Metrics On-time delivery of key product features with high adoption rates. Client satisfaction improvement in ASEAN and Greater China accounts through localized product enhancements. Increase in product usage metrics, retention, and expansion opportunities. Seamless coordination across Engineering, Data Science, Sales, and Customer Success teams for product launches. Timely gathering and execution of customer feedback loops to inform continuous product improvement. Benefits Competitive salary with performance-linked bonuses. Flexible work arrangements and outcome-driven culture. Opportunity to work at the forefront of AI and RegTech innovation in financial crime prevention. Collaborate with industry-leading clients and partners across Asia and the Middle East. Fast-track career growth opportunities within a high-performing, award-winning organization. Exposure to global compliance landscapes and cutting-edge AML/Fraud solutions. At Tookitaki, you’ll contribute to building the trust layer for financial services, enabling banks and fintechs worldwide to stay ahead of financial crime. If you are passionate about solving complex problems, building AI-driven solutions, and shaping market-leading products, we would love to hear from you! Introducing Tookitaki Tookitaki: The Trust Layer for Financial Services Tookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars: preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance. How We Build Trust: Our Unique Value Propositions 1. AFC Ecosystem – Community-Driven Financial Crime Protection The Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics. Leading digital banks and payment platforms rely on Tookitaki to protect them against evolving financial crime threats. By joining this ecosystem, institutions benefit from the collective intelligence of top industry players, ensuring robust protection. 2. FinCense – End-to-End Compliance Platform Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention—from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance, providing the peace of mind they need as they scale. Industry Recognition and Global Impact Tookitaki’s innovative approach has been recognized by some of the leading financial entities in Asia. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer, Forbes Asia 100 to Watch, and Chartis RiskTech100. Serving some of the world’s most prominent banks and fintech companies, Tookitaki is continuously redefining the standards of financial crime detection and prevention, creating a safer

Job Title : Technical Program Manager Location: Bangalore, India Department: Engineering Reports to: VP of Engineering Tookitaki is looking for a dynamic and experienced Technical Program Manager to oversee the successful execution of multiple projects from inception to completion. The ideal candidate will ensure adherence to budget, timeline, and scope while aligning project goals with client and company objectives. You will work closely with cross-functional teams and manage resources, risks, and stakeholder communications to ensure project success. Key Responsibilities Project & Program Delivery Own the end-to-end execution of product and engineering programs. Drive on-time delivery, proactively identify roadblocks, and implement mitigations. Track and report against milestones, timelines, and delivery metrics. Cross-Functional Collaboration Collaborate closely with developers, QA, product managers, designers, and business stakeholders. Serve as a bridge between technical and non-technical teams ensuring clarity and alignment. Agile Process Management Run daily stand-ups, sprint planning, retrospectives, and backlog grooming sessions. Drive adoption and optimization of Agile methodologies using tools like Jira and Confluence. Stakeholder Communication Own the communication rhythm with internal stakeholders on status, risks, and dependencies. Document action plans, decisions, and execution updates in Confluence and share via Slack. Metrics & Accountability Define and track key program KPIs such as delivery velocity, blocker resolution time, and sprint burndown. Establish a framework to measure today vs planned delivery outcomes, and report deviations with context. Must-Have Qualifications 4 8 years of total experience with 3+ years in a Technical Program Manager or Engineering Program Manager role. Proven hands-on experience working directly with software developers and understanding technical constraints. Strong expertise in Agile/Scrum methodologies. Proficient in Jira, Confluence, and Slack for project tracking and communication. Excellent communication, documentation, and stakeholder management skills. Demonstrated ability to work in a fast-paced, matrixed environment. Nice-to-Have Skills Experience working in a FinTech or RegTech environment. Familiarity with CI/CD pipelines, DevOps workflows, and cloud infrastructure. coordination. Certifications such as PMP, CSM, or SAFe Agilist. OKR Achieve 100% on-time delivery of all sprints and releases for key projects. Improve client satisfaction through better project execution and communication, measured by post-project surveys. Ensure 95% compliance with project budget and resource estimates across all projects. Successfully manage 3+ parallel projects with zero major escalations in the first year. ",