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Strong Key Account Management / Customer Success Profiles

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Mandatory (Experience) – Must have 2+ years of hands-on experience in Key Account Management / Customer Success, with atleast 2+ years in managing complex, high-value client relationships and delivering measurable growth/retention targets.

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Mandatory (Skill 1) – Must have strong commercial acumen, negotiation, and strategic problem-solving, with a clearly analytical, data-driven approach to managing accounts.

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Mandatory (Skill 2): Must have proven experience in renewals, retention, upsell, cross-sell, and expansion within assigned accounts

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Mandatory (Skill 3): Must have experience handling contract renewals, pricing discussions, and negotiation ownership

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Mandatory (Skill 4) – Must have startup / lean-team experience and demonstrated ability to handle high pace and high account volume

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Mandatory (Tool) – Proficiency with CRM tools, project management, and data analysis.

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Mandatory (Industry) – Must come from a product-based tech company in the D2C commerce-enablement ecosystem (checkout/payments, fintech, engagement/retention SaaS, WhatsApp commerce, loyalty, logistics, or commerce ops), with direct hands-on experience in D2C retention and account expansion.

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Mandatory (Market) – Must have exposure to the Indian market, with at least the most recent 2 years spent working in the Indian market. Purely global/international market experience will not be considered.

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Mandatory (Note) – CTC is inclusive of 20 percent variable

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Preferred (Background) – Engineering / technical background, or strong technical fluency explicitly valued by the client

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Preferred (Functions) – Hands-on with QBRs, account strategy/forecasting (revenue, retention, satisfaction), and upsell/cross-sell-led account expansion.

Strong Azure Databricks Engineer / Senior Data Engineer Profile

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Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

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Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

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Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

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Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

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Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

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Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

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Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

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Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

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Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Strong MDM Tester (Master Data Management / Data Validation / SQL Testing) Profile

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Mandatory (Experience 1) – Must have minimum 4+ years of experience in MDM Testing, Data Testing, Database Testing, ETL Testing, or Data Quality Testing.

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Mandatory (Experience 2) – Must have hands-on experience testing Master Data Management (MDM) systems, including validation of Customer, Product, Vendor, Material, or other master data domains.

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Mandatory (Experience 3) – Strong hands-on experience in SQL, including writing complex queries for data validation, reconciliation, and backend database testing.

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Mandatory (Experience 4) – Must have experience performing data migration testing, data integration testing, and end-to-end validation across multiple source and target systems.

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Mandatory (Experience 5) – Good understanding of Data Governance, Data Quality, Data Cleansing, Duplicate Management, Matching & Survivorship Rules, and master data validation processes.

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Mandatory (Experience 6) – Must have experience working with ETL/Data Integration tools or validating data flows between enterprise applications.

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Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

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Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

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Preferred (Platform) – Exposure to Informatica MDM, SAP MDG, Reltio, Semarchy, IBM InfoSphere MDM, Stibo, or similar MDM platforms.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

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Mandatory(Experience 1)- Must have 6+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface).

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Mandatory(Experience 2) - Must have consumer-facing product ownership as the centre of gravity. Backend, API, infra, or internal-tools PMs with no recent consumer-facing surface will not be considered. Backend exposure alongside real consumer-funnel work is fine; a backend centre not.

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Mandatory(Experience 3)- 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.

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Mandatory(Experience 4)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.

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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).

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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.

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Mandatory(Company) - Must be from B2C product company. FinTech is the priority . A non-fintech candidate qualifies only if currently or recently at a Series B plus company.

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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.

Strong early-career iOS Developer Profile with hands-on Swift and UIKit experience

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Mandatory (Experience 1) – Must have 0–2 years of experience building iOS apps, with at least 6 months of hands-on experience (internship experience counts for freshers).

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Mandatory (Experience 2) – Must have built two or more apps; anything live on the App Store is a strong plus.

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Mandatory (skill 1) – Must have a solid grip on Swift and UIKit.

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Mandatory (skill 2) – Must be familiar with iOS fundamentals — Core Data, URLSession / networking, JSON parsing, multithreading (GCD), and Auto Layout.

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Mandatory (skill 3) – Must be comfortable with an app architecture pattern (MVC / MVVM) and Git.

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Mandatory (Company Background) – Must come from a strong B2C product company.

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Mandatory (Education) – Must have a B.Tech from a Tier-1 college — IITs, NITs, BITS Pilani, IIITs, DTU and NSUT

Strong Ecommerce Designer / Digital Creative Designer Profile

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Mandatory (Experience 2): Must have hands-on experience designing Product Detail Pages (PDPs), Brand Stores, Product Listing creatives, Promotional Banners, Landing Pages, and other ecommerce marketing assets.

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Mandatory (Experience 3): Must have advanced proficiency in Adobe Photoshop, Illustrator, After Effects, along with strong working knowledge of Figma and collaborative design workflows.

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Mandatory (Experience 4): Must have experience creating both static and motion creatives for digital commerce channels, optimized for desktop, mobile, and tablet.

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Mandatory (Experience 5): Must have strong understanding of ecommerce creative best practices, marketplace guidelines, brand consistency, content hierarchy, and conversion-focused design principles.

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Mandatory (Experience 6): Must have experience working with AI-powered creative tools such as Firefly, Midjourney, Runway, Sora, ChatGPT, or similar AI design tools.

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Mandatory (Portfolio): Candidate must share a strong portfolio showcasing ecommerce creatives, PDPs, marketplace assets, brand stores, banners, and digital campaigns.

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Mandatory (Industry): Candidates from Beauty, Skincare, Cosmetics will be highly preferred. Experience with brands such as L'Oréal, Revlon, Estée Lauder, Nykaa, Tira, Mamaearth, The Derma Co., Plum, Minimalist, etc (Please refer to Target Company list)

Strong Amazon Ads / Performance Marketing / E-commerce Marketing Profiles.

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Mandatory (Experience 1): Must have 3+ years of hands-on experience in managing Amazon PPC campaigns (Sponsored Products, Sponsored Brands, Sponsored Display) for consumer-facing brands (D2C / E-commerce)

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Mandatory (Experience 2): Proven experience in end-to-end Amazon Ads campaign management, including campaign setup, optimization, bid strategy, and scaling performance

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Mandatory (Experience 3): Strong understanding of key Amazon advertising metrics such as ACOS, ROAS, CTR, CPC, and conversion rate, with a demonstrated ability to optimize campaigns for revenue growth and cost efficiency

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Mandatory (Core Skills): Hands-on expertise in keyword research, search term analysis, competitor tracking, and campaign expansion strategies within Amazon ecosystem

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Mandatory (Experience 5 Working knowledge of Amazon listing optimization, including A+ Content, product detail pages, and alignment between ads and organic strategy

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Mandatory (Domain): Must have experience working with E-commerce / D2C / Consumer brands (preferably in Health & Wellness, FMCG, or similar high-competition categories)

Strong Databricks Architect Profile with end-to-end Lakehouse ownership

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Mandatory (Experience 1) – Must have 10+ years of software engineering experience with atleast 5+ years in Data Engineering with hands on exposure to Databricks and strong ownership of end-to-end data pipeline development.

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Mandatory (Experience 2) – Must have atleast 5+ years of expertise across the Databricks ecosystem — Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Workflows, Unity Catalog

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Mandatory (Tech skill 1) – Must have worked at architecture level, owning end-to-end design through deployment

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Mandatory (Tech skill 2) – Must have strong experience with Python and SQL for data processing and Apache Spark for performance tuning & scalability

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Mandatory (Tech skill 3) – Must have experience in large-scale data warehousing & advanced data modeling (3NF and dimensional) across batch and real-time systems

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Mandatory (AI Exposure) – Must have at least a basic working understanding of how AI services or tools work

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Mandatory (Communication) – Must have strong stakeholder management & requirement-gathering experience with US or UK clients

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Mandatory (Company) – Must come from a B2B IT services or IT consulting background

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Mandatory (Note) – CTC is inclusive of 5% variable

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Preferred (Tech skill 1) – Azure Databricks or Azure data services experience (project runs on Azure DevOps)

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Preferred (Tech skill 2) – MLflow or MLOps practices and AI use cases (RAG, AI/BI)

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Preferred (Tech skill 3) – CI/CD, Databricks Asset Bundles (DABs) or equivalent packaging, Terraform or IaC, reusable deployment templates

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Preferred (Integrations) – ServiceNow or enterprise system integrations

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Preferred (Certifications) – Databricks (Data Engineer Associate or Professional, ML or GenAI tracks), Azure or AWS cloud certifications

Strong Enterprise B2B Corporate Sales Leader Profile selling Employee Health Benefits, Wellness or Group Insurance solutions (Domestic, West region)

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Mandatory (Experience) – Must have 8+ years of B2B sales experience selling to CHROs, HR leaders, Benefits Heads, Total Rewards Team and corporate decision-makers

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Mandatory (Domain and Company) – Must have 5+ years of experience in enterprise corporate sales selling solutions such as group health insurance, OPD, wellness, preventive health and employee benefits to corporates

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Mandatory (Hunter and Closer) – Must drive the full enterprise sales cycle end to end, from prospecting and pipeline building through consultative solutioning, negotiation and closure, and close deals personally rather than handing them to the team

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Mandatory (Network) – Must have a ready network of enterprise and CXO contacts (CHRO, CFO, CEO, CIO, Procurement) they can approach directly to open and close deals

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Mandatory (Market) – Must have sold into large enterprise and mid-market corporate accounts (GCCs, IT-ITES, manufacturing, BFSI, pharma) in India

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Mandatory (Leadership) – Must have built and led a sales team of 5+, owning forecasting and pipeline discipline

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Mandatory (Communication) – Must have elite verbal and written communication, executive presence, storytelling and presentation skills, fluent in English

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Mandatory (Stability) – Must show 2+ years per organisation with no significant gaps across the most recent 3+ years

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Mandatory (Company) – Health InsuranceTech, InsuranceTech having Healthcare Insurance, TPAs etc

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Mandatory (Note) – Must be based in or open to relocating to Mumbai (Andheri); the role owns the West region (Mumbai, Pune, Ahmedabad, not restricted)

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Preferred (Education) – MBA

Senior Product Manager – Growth & Consumer Products (FinTech Preferred)

We're looking for a Senior Product Manager with 6+ years of product management experience, including the last 3+ years owning consumer-facing B2C products (app, onboarding, checkout, growth, or conversion funnels).

Must Have:

- Consumer product ownership (not backend/infrastructure-focused)

- Strong track record of improving conversion, engagement, revenue, or retention through A/B testing and data-driven experimentation

- Experience with analytics, funnels, cohorts, and product metrics

- Active use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) in product work

- Strong stakeholder management across business, engineering, and design teams

- Experience writing PRDs, user stories, and working in Agile environments

- Current or recent experience in a B2C product company (FinTech preferred; otherwise Series B+ startup)

Good to Have:

- Experience with AI/ML products, prompt engineering, LangChain, or RAG.