TalentXO

Roles & Responsibilities

• Design and build ontologies (knowledge models) that organize Dell's business information in a structured way.
• Connect data from different systems so that all information is consistent and easy to understand.
• Create relationships between products, customers, services, and other business data to improve search and AI capabilities.
• Work closely with business teams to understand their requirements and convert them into structured knowledge models.
• Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL.
• Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures.
• Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects.
• Manage and update ontologies as new products, services, and business information are introduced.
• Support knowledge graph and metadata initiatives to improve data quality and consistency.
• Use graph databases and ontology management tools (where applicable) to maintain semantic data models.

Ideal Candidate

• Strong Ontologist Profile with deep semantic (RDF) ontology experience in complex enterprise environments
• Mandatory (Experience 1) – Must have 7+ years of total experience, with 5+ years in semantic (RDF) ontology building/structuring for a complex/large enterprises
• Mandatory (Experience 2) – Must have a strong understanding of content and information management, data structures, and semantic metadata extraction
• Mandatory (Tech skill 1) – Must have strong hands-on experience in taxonomy design, structuring, and lifecycle management
• Mandatory (Tech skill 2) – Must have strong working experience of at least one ontology/TOMS tool such as PoolParty (Semantic Web), TopBraid/TopQuadrant EDG, or GraphDB (Ontotext.
• Mandatory (Tech skill 3) –Must be familiar with W3C industry standards, including RDF, RDFS, SPARQL and OWL
• Mandatory (Tech skill 4) – Must have hands-on working experience with at least one graph database such as Neo4j, GraphDB (Ontotext), Neptune, or Stardog
• Mandatory (Tech skill 5) – Must have practical experience with SHACL for constraint and validation work, alongside SKOS
• Mandatory (Tech skill 6) – Must have hands-on exposure to a cloud and infrastructure stack, including AWS, Docker, or Kubernetes
• Mandatory (Communication) – Must be fluent in English, with strong stakeholder management skills to operate across a complex, multi-team environment.many stakeholders.
• Mandatory (Note) – Must be available to work during US time zones for at least 4 hours per day
• Preferred (Tech skill 1) – Should have experience with NLP strategies and tooling for optimisation, such as spaCy or NER-based metadata extraction
• Preferred (Education) – Degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation

Role & Responsibilities

What you'll do

• Embed with enterprise customers to understand their business processes, systems landscape, and data. Translate that into concrete use cases for AI agents, automations, and applications.
• Build working solutions on the UnifyApps platform yourself, using the no-code builders, integrations, and data layer. Ship, iterate, and get to production.
• Own the technical and functional design of deployments across systems like Salesforce, Workday, SAP, ServiceNow, core banking and telecom stacks.
• Work with customer stakeholders from process owners up to CXOs. Run discovery workshops, demos, solution reviews, and go-live.
• Define success metrics for each deployment and hold the deployment to them.
• Feed patterns and gaps back to the core product and engineering teams. Turn repeated custom work into platform capability.
• Support pre-sales and pilot conversations where deep product depth is needed.

Ideal Candidate

• Strong Forward Deployed Product Manager Profile with robust exposure to client facing delivery
• Mandatory (Experience 1) - Must have 4+ years of total experience, including at least 1+ year of experience as a Product Manager/Forward Deployed Product Manager at Sprinklr (previously, not currently employed there), along with recent experience in a Tech consulting company as a Forward Deployed Product Manager, working closely with clients in an onsite or customer-facing capacity
• Mandatory (Experience 2) - Must have a strong track record of client-facing delivery, having run implementations or deployments for large enterprise customers
• Mandatory (Experience 3) - Must have experience running discovery workshops, demos, solution reviews, and go-lives with enterprise stakeholders from process owners up to CXO level
• Mandatory (Tech skill 1) - Must be comfortable getting hands-on — able to read API docs, model data flows, write SQL, and reason about system integrations.
• Mandatory ( Skill 1): Must have experience working closely with designers, engineers, testers and other stakeholders
• Mandatory (Skill 2) - Must have a bias to build, with comfort in ambiguity and evolving scopeConsulting
• Mandatory (Company) - Should be an Ex-Sprinklr employee, currently working with IT Services/Tech companies
• Mandatory (Note): Candidate should be open to relocate to other cities based on the client requirements as needed
• Preferred (AI Depth) - Exposure to enterprise AI deployments in production, including evaluation, guardrails, and observability of agents.

Role & Responsibilities

We are seeking a dynamic and talented Assistant Product Marketing Manager with a passion for mobile apps to join our growing team. The ideal candidate will play a crucial role in new product ideation, executing successful go-to-market strategies, and ensuring the overall success of our mobile applications. This role requires a combination of strategic thinking, creativity, analytical skills, and effective communication.

• New Product Ideation: Collaborate with cross-functional teams to generate innovative ideas for new mobile app products. Conduct market research and analysis to identify emerging trends and opportunities.
• Go-to-Market Strategy: Develop and execute comprehensive go-to-market strategies for new products, ensuring successful product launches. Work closely with the product development team to align marketing initiatives with product features and benefits.
• Competitor Research: Conduct thorough competitor analysis to understand market trends, identify competitive advantages, and position our products effectively.
• User Lifecycle Management: Develop and implement strategies to optimize the user lifecycle, from acquisition to retention. Utilize data-driven insights to enhance user experience and engagement.
• A/B Testing: Design and execute A/B testing initiatives to optimize marketing campaigns and improve key performance indicators.
• App Store Optimization (ASO): Implement effective ASO strategies to enhance the visibility and discoverability of our mobile apps on various app stores.
• Stakeholder Management: Collaborate with internal teams, including product development, design, and sales, to ensure alignment and successful product launches. Build and maintain strong relationships with external stakeholders, including partners and vendors.

Ideal Candidate

• Strong B2C Product Marketing Profile
• Mandatory (Experience 1): Must have 2+ YOE in product marketing for digital products
• Mandatory (Experience 2): Must have direct experience in pre-launch and post-launch marketing, including user research, positioning, GTM planning etc
• Mandatory ((Experience 3): Experience launching or scaling a mobile app, preferably iOS
• Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)
• Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
• Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
• Mandatory (Stability): Minimum 2 years per role required. One short period employment is acceptable if there are atleast 2 stints of 2+ years. Frequent job changes are straight rejects.
• Note: Total years of experience must not exceed 5 years.

Roles & Responsibilities

We are seeking a highly skilled Senior QA Automation Engineer to join our dynamic team. This role is ideal for a passionate automation expert who thrives on building robust test frameworks, mentoring team members, and driving quality excellence across our products. You will play a pivotal role in shaping our automation strategy while ensuring the delivery of reliable, scalable test solutions.

Key Responsibilities:

• Design, develop, and maintain automated test suites using Playwright for end-to-end testing
• Implement and optimize test frameworks using TestNG/JUnit to ensure comprehensive test coverage
• Build and manage automation projects using Gradle build tool
• Develop and execute comprehensive testing strategies that align with product requirements and business objectives
• Mentor and guide junior QA engineers in automation best practices and technical skills development
• Conduct thorough code reviews to maintain high-quality automation code standards
• Debug and troubleshoot complex test failures, identifying root causes and implementing solutions
• Collaborate with cross-functional teams including developers, product managers, and DevOps to integrate automation into CI/CD pipelines
• Drive continuous improvement initiatives in test automation processes and methodologies
• Champion quality assurance best practices across the organization

Ideal Candidate

• Strong Senior QA Automation / SDET Engineer Profile with robust Java skills
• Mandatory (Experience 1): Must have 4+ YOE in Automation QA Testing with atleast 3+ years of strong exposure to Java
• Mandatory (Experience 2): Must have proven experience with Playwright/Selenium for end-to-end test automation and strong hands-on experience with Java (The resume should clearly highlight hands-on Java experience through relevant projects or responsibilities, rather than only mentioning Java in the skills section)
• Mandatory (Experience 3): Must have strong proficiency in TestNG and/or JUnit
• Mandatory (Core Skills 1): Solid understanding of QA principles, testing strategies, and best practices
• Mandatory (Core Skills 2): Excellent debugging and troubleshooting capabilities
• Mandatory (Company): Product Company
• Mandatory (Note): No hire policy from Sprinklr
• Preferred (Experience) - Working knowledge of Gradle

Role & Responsibilities

• Support master data readiness for Oracle Fusion design, build, mock loads, UAT, cutover, and hypercare.
• Perform data profiling, cleansing, deduplication, validation, and remediation tracking.
• Create and maintain source-to-target mappings from legacy systems to Oracle Fusion.
• Support data migration cycles, mock load validation, reconciliation, and data defect resolution.
• Partner with IT, business data owners, system integrators, and data stewards to define ownership, rules, and approval workflows.
• Support boundary-system data contracts, including field-level rules, ID crosswalks, downstream integration impacts, and reconciliation controls.
• Help establish sustainable data quality metrics, monitoring, lineage, and stewardship processes.
• Support reporting and analytics readiness by ensuring trusted master data dimensions and consistent reference data.
• Data domains scope:

o  Customer, supplier, contact, and trading partner master data.

o  Product, item, SKU, BOM, specification, category, and UOM data.

o  Location, site, plant, warehouse, address, and inventory location data.

o  Finance master data, including chart of accounts, legal entities, ledgers, cost centers, and hierarchies.

o  Workforce / HCM reference data, including workers, jobs, positions, departments, and organization structures.

o  Reference data such as tax codes, payment terms, value sets, shipping methods, and lookup values.

o  Quality, specification, traceability, asset, equipment, recipe, formula, routing data.

Ideal Candidate

• Strong Master Data Management (MDM) Specialist Profile (Oracle Fusion ERP Transformation)
• Mandatory (Experience 1) – Must have 10+ years of experience in Master Data Management (MDM), Data Governance, Data Quality, ERP Data Migration, or Enterprise Data Management roles.
• Mandatory (Experience 2) – Must have hands-on experience supporting large-scale ERP implementation or transformation programs, with strong exposure to Oracle Fusion Cloud ERP environments.
• Mandatory (Experience 3) – Must have strong experience in Master Data lifecycle management, including data profiling, cleansing, deduplication, validation, reconciliation, remediation tracking, and data quality controls.
• Mandatory (Experience 4) – Must have hands-on experience creating and managing Source-to-Target Mapping (STTM) documents, transformation rules, data conversion logic, and migration validation activities.
• Mandatory (Experience 5) – Must have strong experience managing one or more enterprise master data domains such as Customer, Supplier, Product/Item, SKU, BOM, Finance Master, Plant/Warehouse, Location, Inventory, HCM, or Reference Data.
• Mandatory (Experience 6) – Must have recent experience working on Oracle Fusion Cloud ERP implementation, migration, transformation, or data readiness programs.
• Mandatory (Domain) – Must have experience in Food Manufacturing, Process Manufacturing, CPG/FMCG, Consumer Goods, Pharma, Chemicals, Life Sciences, or other regulated supply chain environments.
• Mandatory (Hike) - compensation policy of offering up to 25% hike on the candidate's current CTC. Candidates whose expectations exceed this range should be screened out during the initial discussion.
• Mandatory (Note) - Only immediate joiners who are available to join within 15 days are considered.
• Preferred (Oracle Modules) – Experience with Oracle Fusion Product Hub, Oracle SCM Cloud, Oracle Procurement Cloud, Oracle Financials Cloud, Oracle Inventory, Oracle Manufacturing, or Oracle HCM.
• Preferred (Boundary Systems) – Experience integrating or managing master data across PLM, QMS, EAM, CRM, Procurement Systems, Legacy ERP, Data Warehouses, and Reporting Platforms.

Role & Responsibilities

Key responsibilities

1) Product vision & strategy

• Define and articulate the vertical product vision aligned to CIMET's business goals and growth roadmap.

• Own the product lifecycle from ideation and research to launch and post-release optimisation.

• Translate strategy into a focused quarterly bets plan with clear targets.

• Identify opportunities to enhance engagement, conversion, lead quality, and retention — including

through AI-driven personalisation, intelligent pre-filling, and LLM-powered recommendation surfaces.

2) Roadmap execution & agile delivery

• Manage and refine the product backlog, balancing strategic priorities, technical debt, and customer

needs.

• Partner with engineering to ensure crisp scope, acceptance criteria, rollout plans, and predictable

delivery.

• Lead agile ceremonies as needed: planning, stand-ups, reviews, retrospectives.

• Ship iteratively; ensure every release has success metrics and guardrails.

• Define and own the AI feature backlog for your vertical: where LLM integration adds genuine value to the

user journey, what the evaluation criteria are, and what fallback and failure handling looks like.

3) Metrics ownership & experimentation

• Own weekly reporting of funnel performance and drivers: what moved, why, and what we do next.

• Establish a steady cadence of experimentation — A/B tests, rollouts, UX improvements — with

measurable outcomes.

• Ensure measurement hygiene: instrumentation requirements are met and readouts happen on time.

• Define and track AI-specific product metrics: model-assisted conversion rate, AI feature adoption,

recommendation acceptance rate, and LLM output quality signals.

4) Stakeholder management & communication

• Act as the primary link between business leaders, tech teams, and external partners.

• Communicate roadmap, priorities, trade-offs, and performance insights to senior stakeholders.

• Partner across Australia, India, and the Philippines to maintain alignment on goals and delivery

milestones.

• Serve as the voice of the customer and ensure user-centric solutions are embedded in every release.

5) Partner ecosystem collaboration

• Work with Partnerships/Business Owners to shape partner onboarding priorities and improve partner

performance.

• Own product readiness and launch gating: data capture, routing behaviour, UX flows, monitoring.

• Drive partner feedback loops into the roadmap: acceptance/rejection reasons, SLA breakdowns, failure

modes.

6) AI-enabled product development

• Identify where LLM-powered features can meaningfully improve the consumer comparison journey: pre-

filling eligibility data, surfacing contextual recommendations, simplifying complex offer comparisons, or

reducing form friction.

• Write product requirements for AI features with the same rigour as any other feature: input/output

definition, confidence thresholds, fallback behaviour, human-in-loop requirements, and success metrics.

• Collaborate with the AI & Automation SPM and engineering to ship AI features that are production-

grade: instrumented, monitored, and with defined rollback criteria.

• Stay current on how LLM integration is being applied in consumer FinTech, insurance, and comparison

product UX - bring relevant patterns into your vertical proactively.

CIMET Senior Product Manager — Vertical Products

Confidential — For Recruiter Use Only

• Use AI tools actively in your own product practice: research synthesis, PRD drafting, experiment

hypothesis generation, competitive analysis, and data interpretation.

7) Innovation & growth

• Use data, market trends, and customer behaviour to uncover opportunities that increase adoption and

monetisation.

• Partner with UX/UI and Marketing to launch improvements that boost customer experience and

conversion.

• Benchmark performance against competitors and continuously evolve CIMET's comparison experience.

8) Quality & continuous improvement

• Ensure UAT readiness and validate outcomes before broad release.

• Monitor metrics: engagement, NPS where applicable, conversion, and lead quality.

• Collaborate with QA and DevOps to ensure stable, scalable releases and fast incident recovery.

• Maintain a feedback loop that translates insights into actionable roadmap items.

Ideal Candidate

• Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile
• Mandatory(Experience 1)- Must have 6+ years of product management experience with 1+ year of shipping LLM-powered features in consumer-facing product
• Mandatory(Experience 2)- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene.
• Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.
• Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).
• Mandatory(Product Writing & Agile Delivery)- Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools.
• Mandatory(Company)- B2C product in FinTech (InsurTech is highly preferred)
• Preferred(Skill)- Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.

Role & Responsibilities

We are seeking a highly skilled Senior QA Automation Engineer to join our dynamic team. This role is ideal for a passionate automation expert who thrives on building robust test frameworks, mentoring team members, and driving quality excellence across our products. You will play a pivotal role in shaping our automation strategy while ensuring the delivery of reliable, scalable test solutions.

Key Responsibilities:

• Design, develop, and maintain automated test suites using Playwright for end-to-end testing
• Implement and optimize test frameworks using TestNG/JUnit to ensure comprehensive test coverage
• Build and manage automation projects using Gradle build tool
• Develop and execute comprehensive testing strategies that align with product requirements and business objectives
• Mentor and guide junior QA engineers in automation best practices and technical skills development
• Conduct thorough code reviews to maintain high-quality automation code standards
• Debug and troubleshoot complex test failures, identifying root causes and implementing solutions
• Collaborate with cross-functional teams including developers, product managers, and DevOps to integrate automation into CI/CD pipelines
• Drive continuous improvement initiatives in test automation processes and methodologies
• Champion quality assurance best practices across the organization

Ideal Candidate

• Strong QA Automation / SDET Engineer Profile
• Mandatory (Experience 1): Must have 2+ YOE in Automation QA Testing
• Mandatory (Experience 2): Must have proven experience with Playwright/Selenium for end-to-end test automation and strong hands-on experience with Java or JavaScript
• Mandatory (Experience 3): Must have strong proficiency in TestNG and/or JUnit
• Mandatory (Core Skills 1): Solid understanding of QA principles, testing strategies, and best practices
• Mandatory (Core Skills 2): Excellent debugging and troubleshooting capabilities
• Mandatory (Note): No hire policy from Sprinklr
• Preferred (Experience) - Working knowledge of Gradle
• Preferred (Company): Product Company

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

Role: CRM Developer

Experience: 6+ Years

Work Mode: WFO

Interview Mode: Face to face

Job Requirements:

• Overall 4+ years of experience in implementing large packaged CRM applications
• Microsoft Dynamics CRM certification preferred (D365 Customer Service – MB-210)
• Strong understanding of Dynamics 365 technical architecture
• Hands-on experience in Dynamics 365 development, including Web Services, C#, ASP.NET, and JavaScript, with successful integration experience
• Experience across the full lifecycle of at least 2–3 Dynamics projects
• Good functional knowledge of Sales, Service, and Marketing modules
• Experience deploying Dynamics CRM solutions on handheld devices is preferred
• Strong technical expertise in .NET Framework, WPF, C#, CRM SDK, and SQL Server
• Experience designing and deploying custom reports and dashboards in Dynamics 365
• Hands-on experience with CRM Portals, PowerApps, Power Automate, USD, and Field Service

Additional Areas to Evaluate:

• Functional Knowledge (Sales / Customer Service)
• Customizations (Entities, BPFs, Workflows, Business Rules)
• Security (Security Roles, Field Level Security, BUs)
• Plugins (C#), JavaScript
• Power Platform (Power Automate, Power Pages)
• Data Management / Data Migration
• Deployments
• Integration (Azure, APIs)
• PCF / Custom Pages / Canvas Apps
• Communication Skills

Role & Responsibilities

What You'll Do

• Design, build, and ship production-grade backend services in a microservices environment
• Work directly with clients to understand requirements, solution their use cases, and integrate/deploy our product in their environment
• Own problems end-to-end — build, deploy, debug in the client's setup, and see it through to production
• Lead technical discussions with client engineering and business teams, translating their needs into working solutions
• Build integrations with third-party systems and APIs within customer environments
• Collaborate cross-functionally with internal product and engineering teams to feed client learnings back into the product

Ideal Candidate

• Strong Backend Engineer with robust Micro-services experience
• Mandatory (Experience): Must have 4+ years of hands-on experience in backend software engineering with 2+ years in a product company
• Mandatory (Skill 1): Must have hands-on experience building and running applications in a Micro-services setup - designing services, REST APIs, and service-to-service communication
• Mandatory (Skill 2): Must have strong production-grade experience in building and shipping real services in Java or Node.js (Java is highly preferred)
• Mandatory (Company): Product companies (B2B SaaS is preferred)
• Mandatory (Education): B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS Pilani)
• Preferred (Experience): Must have worked directly with external customers in an engineering capacity - solutioning, integrating, or deploying the product in the customer's environment and handling technical discussions with their teams
• Preferred (Databases): Comfortable with both SQL and NoSQL databases