TalentXO

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

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

Key Roles & Responsibilities: ( Key Accounts Manager )

• Business Development & Sales –Area wise
• Promoting the products through a network with Architects /Interior Designers / Consultants / Contractors / Builders & Developers.
• Address and resolve customer issues and concerns in a timely and effective manner.
• Develop strategies for customer retention and satisfaction.
• Identify and pursue new business opportunities to expand market presence.
• Accomplishment of achieved targets set by the company for overall growth.
• Managing the sales & distribution network for the assigned region
• Executing different brand promotion activities as decided by management time to time to increase the brand visibility in the region
• Submission of timely reports regarding sales for the project pipeline/Distribution network.
• Optimum utilisation of resources & cost management
• Collaborate with marketing and product development teams to align sales strategies with market trends.
• Represent the company at industry events, Exhibitions, and conferences.
• Willingness to travel if required for business expansion.

Qualifications:

• Bachelor’s degree in Business Administration, Marketing, or a related field (MBA preferred).
• Proven track record of at least 5 years in sales leadership roles, preferably within building material industry.

Perks and Benefits:

• Competitive Salary according to the industry standards
• Incentives
• Bonus
• Insurance.

Skills & Requirements:

• Fluency in Communication.
• Good at Ms Excel, Power Point, Word.
• Energetic, pleasing personality.

Role & Responsibilities

1. Design Leadership & Team Management
2. Lead and mentor the UI/UX design team, conduct design reviews, manage workloads, and maintain high design quality standards.
3. User Experience & Journey Design
4. Own end-to-end user journeys including onboarding, comparison flows, checkout/application flows, and post-conversion experiences.
5. Design System & UI Standards
6. Build and maintain scalable design systems, reusable components, interaction patterns, and accessibility standards.
7. User Research & Data-Driven Design
8. Conduct user research, usability testing, and analyze user behavior data to improve usability and conversion.
9. Cross-Functional Collaboration
10. Collaborate with Product Managers, Engineering, Analytics, and leadership teams to deliver intuitive product experiences.
11. Mobile-First & Accessibility Focus
12. Ensure responsive, mobile-first, and WCAG-compliant user experiences across all platforms.
13. Design Operations & Development Handoff
14. Manage prototyping, design documentation, and design-to-development handoff processes for smooth implementation.
15. AI-Assisted Design & Innovation
16. Utilize AI-assisted design tools and stay updated with modern UX trends and best practices.
17. Strategic Product & Team Growth
18. Support hiring, onboarding, capability building, and contribute hands-on to complex product journeys.

Ideal Candidate

• Strong Lead / Manager — Product Design (UI/UX) Profile
• Mandatory(Experience 1)- Must have 8+ years of product design experience with minimum 3 years managing a design team — direct reports, quality ownership, critique culture.
• Mandatory(Experience 2)- Must have hands on End-to-end ownership from problem definition and rapid prototyping through to final Figma handoff, across both web and mobile
• Mandatory(Skill 1)- Must have exceptional UI skills combined with deep mastery of UX psychology — with demonstrated ability to deliver world-class visual and interaction design.
• Mandatory(Skill 2)- Must have built or evolved a design system adopted in production code — token structure, engineering handoff, versioning, and cross-platform consistency. Maintaining a Figma component library alone is not sufficient.
• Mandatory (Leadership & Team Management): Must have hands-on experience leading and mentoring a design team — setting the quality bar, running structured design critiques, and managing delivery across parallel tracks. Someone who builds the team up, not just manages output.
• Mandatory (Stakeholder Mgmt)- Must be comfortable presenting to VP Product, CTO, and C-suite — able to articulate design rationale in business terms and influence product direction through user-centric logic and data.
• Mandatory (Portfolio)- Must include 2+ end-to-end transactional consumer journeys with process and outcomes; design system work with engineering context; mobile-first screens; measurable conversion or usability outcomes.
• Mandatory (Company) - B2C product companies
• Preferred(Skill 1)- Experience with AI design tools — Figma Make, generative UI, AI prototyping. Prior experience preferred; clear openness to adoption is the minimum.
• Preferred(Skill 2)- Working knowledge of HTML/CSS, responsive grids, and design token implementation. Able to design feasibly and push back credibly on engineering constraints
• Preferred (Education): A formal degree in Design — B.Des, M.Des, HCI, Interaction Design, or Visual Communication.