Technical Content Writer

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

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Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

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Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

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Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

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Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

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Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

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Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

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Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

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Mandatory (Age) - Candidate's Age should be below 37 years.

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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

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Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Role: MDM Data Specialist

Location: Bangalore/Hyderabad/Gurgaon/Mumbai

Key Responsibilities

• Manage and improve master data across customer, product, entitlement, account hierarchy, product catalog, subscription, contract, billing, and revenue domains.
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management, validation rules, workflows, reference data, and data quality rules.
• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, billing, ERP, data lake, and reporting platforms.
• Assist with customer golden record creation, account hierarchy management, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules, eligibility rules, commercial BOMs, and quote-to-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings, lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architecture teams.

Required Qualifications

• 3-7+ years of experience in master data management, data governance, data quality, data operations, revenue operations, sales operations, product operations, or a related data role.
• Hands-on experience with an MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or a comparable enterprise MDM solution.
• Experience in a SaaS, subscription, technology, or enterprise software environment.
• Working knowledge of CRM, CPQ, quote-to-cash, order-to-cash, billing, entitlement, subscription, contract, or revenue management processes.
• Experience with customer master, product master, product catalog, account hierarchy, entitlement, subscription, contract, billing, or revenue data.
• Understanding of MDM concepts such as golden record, match/merge, survivorship, reference data, hierarchy management, stewardship workflows, data quality rules, and cross-system synchronization.
• Strong analytical skills with the ability to investigate data issues across business processes and systems.
• Experience with data profiling, cleansing, standardization, deduplication, validation, reconciliation, and remediation.
• Strong documentation, communication, and stakeholder management skills.

Preferred Qualifications

• Experience with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, or broader Salesforce ecosystem data models.
• Experience integrating MDM platforms with Salesforce, CPQ, billing, ERP, data warehouse, or lakehouse environments.
• Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, or Reltio Connected Data Platform / Reltio Data Cloud.
• Familiarity with APIs, batch integrations, event-driven integrations, data pipelines, data lineage, metadata management, and access controls.
• Experience with CPQ product structures, bundles, pricing rules, discounting, quote lines, contracts, assets, subscriptions, and renewals.
• Familiarity with revenue management concepts such as ASC 606, IFRS 15, performance obligations, revenue recognition, and SOX controls.
• Experience with SQL, Excel, BI tools, data profiling tools, data catalogs, or cloud data platforms.
• Experience supporting quote-to-cash transformation, M&A data onboarding, or enterprise data modernization.

Job Title: AVP – Marketing

Experience: 5–7 Years

Location: Hyderabad

Employment Type: Full-Time

About the Role

P99Soft is looking for an experienced AVP – Marketing to build, lead, and scale an integrated B2B marketing function that drives brand awareness, demand generation, account engagement, and revenue growth. The ideal candidate will have a strong background in B2B technology/IT services marketing, with expertise in content marketing, SEO, paid media, Account-Based Marketing (ABM), inbound demand generation, partner marketing, and marketing operations.

The role requires close collaboration with Sales, SDR, Alliances, Pre-sales, Delivery, and CoE teams to execute high-impact marketing strategies that contribute to qualified pipeline and business growth.

Key Responsibilities

Marketing Strategy & Brand Positioning

• Develop annual and quarterly marketing strategies aligned with revenue goals, target industries, geographies, and service offerings.
• Define brand positioning, messaging, and value propositions focused on business outcomes.
• Manage the integrated marketing calendar and allocate budgets across marketing channels.
• Ensure consistent brand messaging across the website, social media, campaigns, sales collateral, and partner platforms.

Team Leadership & Marketing Operations

• Lead and manage SEO, Content, Social Media, Digital Marketing teams, agencies, and vendors.
• Define team KRAs, performance metrics, delivery standards, and review processes.
• Implement and manage CRM, marketing automation, analytics, and attribution frameworks.
• Build dashboards to track campaign performance, brand visibility, lead conversion, account engagement, pipeline contribution, and marketing ROI.

Thought Leadership & Content Marketing

• Develop a structured content strategy including:
• Articles
• Blogs
• White Papers
• Case Studies
• Solution Briefs
• Videos
• Webinars
• Executive Thought Leadership
• Collaborate with Leadership, Delivery, and CoE teams to transform technical expertise into customer-focused content.
• Create buyer-specific, industry-specific, and service-specific content throughout the customer journey.
• Measure content effectiveness based on engagement, lead generation, sales utilization, and pipeline influence.

Inbound Marketing, Paid Media & SEO

• Plan and execute integrated demand generation campaigns across:
• Search Marketing
• Paid Advertising
• Social Media
• Email Marketing
• Website
• Webinars
• Events
• Improve organic search visibility through:
• Technical SEO
• On-page & Off-page SEO
• Keyword Strategy
• Content Optimization
• Authority Building
• Manage landing pages, lead capture, nurturing campaigns, and conversion optimization.
• Optimize marketing spend based on qualified leads, conversion rates, pipeline contribution, and acquisition costs.

Account-Based Marketing (ABM)

• Identify and prioritize strategic target accounts in collaboration with Sales teams.
• Design personalized ABM campaigns using targeted content, executive engagement, events, and outreach.
• Align ABM initiatives with SDR outreach and partner engagement.
• Track account progression from engagement to qualified opportunities and customer acquisition.

Partner & Co-Marketing

• Execute joint marketing initiatives with ecosystem partners including:
• AWS
• Salesforce
• Databricks
• Snowflake
• Hyperscalers
• Manage:
• Co-branded campaigns
• Webinars
• Workshops
• Events
• Account development programs
• Utilize Market Development Funds (MDF) effectively.
• Ensure partner marketing activities contribute to pipeline growth and revenue generation.

Sales & SDR Alignment

• Collaborate with Sales leadership to align marketing campaigns with strategic account priorities.
• Equip Sales and SDR teams with:
• Campaign briefs
• Messaging
• Sales collateral
• Case studies
• Follow-up assets
• Define lead scoring, qualification, handover, follow-up, and feedback processes.
• Review lead quality, meeting outcomes, opportunity conversion, and pipeline progression with Sales and SDR teams.

Key Performance Indicators (KPIs)

• Marketing Strategy Execution
• Campaign Planning & Execution
• Budget Utilization
• Brand Awareness & Market Visibility
• Audience Growth
• Branded Search Performance
• Website Traffic
• Share of Voice
• Thought Leadership
• Content Performance
• Content-Influenced Pipeline
• Qualified Inbound Leads
• Sales Accepted Leads (SAL)
• Marketing Qualified Leads (MQL)
• Opportunity Creation
• Marketing-Sourced Pipeline
• Cost Per Qualified Lead (CPQL)
• Organic Search Performance
• SEO Performance
• Conversion Rate Optimization
• Account-Based Marketing Performance
• Target Account Engagement
• Pipeline from ABM Campaigns
• Partner Marketing Performance
• MDF Utilization
• Marketing Analytics & Reporting
• Data Accuracy
• Campaign Turnaround Time
• Team Performance
• Agency Management
• Marketing-Sourced Revenue
• Marketing-Influenced Revenue

Required Skills

Marketing

• B2B Marketing
• IT Services Marketing
• Technology Marketing
• Digital Marketing
• Demand Generation
• Inbound Marketing
• Performance Marketing
• Brand Strategy
• Marketing Strategy
• Marketing Planning
• Campaign Management
• Marketing Operations
• Marketing Automation
• Marketing Analytics
• Marketing Attribution
• CRM Management
• Budget Management

Content & Brand

• Content Marketing
• Thought Leadership
• Content Strategy
• Copywriting
• Case Studies
• White Papers
• Solution Briefs
• Webinars
• Executive Content
• Brand Positioning
• Messaging
• Value Proposition Development

Digital Marketing

• SEO
• Technical SEO
• On-page SEO
• Off-page SEO
• Keyword Research
• Paid Media
• PPC
• Search Marketing
• Social Media Marketing
• Email Marketing
• Lead Nurturing
• Landing Page Optimization
• Conversion Rate Optimization (CRO)

Demand Generation

• Lead Generation
• Inbound Lead Generation
• Lead Qualification
• Lead Scoring
• Pipeline Generation
• Funnel Management

Account-Based Marketing

• ABM Strategy
• Personalized Campaigns
• Target Account Engagement
• Enterprise Marketing

Partner Marketing

• Co-Marketing
• Alliance Marketing
• Partner Marketing
• MDF Management
• Ecosystem Marketing

Sales Alignment

• Sales Enablement
• SDR Collaboration
• Opportunity Management
• Pipeline Management
• Revenue Marketing

Leadership

• Team Management
• Stakeholder Management
• Cross-functional Collaboration
• Agency Management
• Vendor Management
• Performance Management

Analytics

• Marketing Dashboards
• Reporting
• KPI Tracking
• ROI Analysis
• Data Analysis

Preferred Experience

• 5–7 years of experience in:
• B2B Technology Marketing
• IT Services Marketing
• Digital Engineering
• Cloud
• Data & AI
• SaaS
• Enterprise Solutions
• Minimum 3 years leading an integrated marketing or demand generation function.
• Experience marketing to USA or international enterprise markets.
• Experience with long B2B sales cycles and enterprise buying processes.
• Experience working with Sales, SDR, Alliances, Delivery, and Pre-sales teams.
• Exposure to partner ecosystems including:
• AWS
• Salesforce
• Databricks
• Snowflake
• Other Hyperscalers

Educational Qualification

• Bachelor's degree in Marketing, Business Administration, Communications, Technology, or a related field.
• MBA is preferred.

P99soft is an equal-opportunity employer

P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Role overview

1) Overall 5 to 7 years of experience. Node.js experience is must.

2) At least 3+ years of experience or couple of large-scale products delivered on microservices.

3) Strong design skills on microservices and AWS platform infrastructure.

4) Excellent programming skill in Python, Node.js and Java.

5) Hands on development in rest API’s.

6) Good understanding of nuances of distributed systems, scalability, and availability.

Job Responsibilities: 

• Builds business by identifying and selling prospects; maintaining relationships with clients. 
• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options. 
• Sells products by establishing contact and developing relationships with prospects; recommending solutions. 
• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements. 
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors. 
• Prepares reports by collecting, analyzing, and summarizing information. 
• Maintains quality service by establishing and enforcing organization standards. 
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. 
• Contributes to team effort by accomplishing related results as needed. 

Working Conditions: 

• Sales engineers will drive the sales growth from their respective zones (it may be Bangalore/Chennai). 
• Work timings are from 9:30 AM to 07: 30 PM with suitable time offs for lunch and snacks. (Monday to Friday) 
• Travelling to prospective clients may be required for demo/trial as and when required. 

• Selling Platform-as-a-Service/Infrastructure-as-a-Service (PaaS/IaaS) and working toward strategic business goals in the technology industry.
• Excellent communication, presentation, strategic and research skills with the ability to plan, present and execute strategy.
• Lead business strategy in generating and developing business growth opportunities.
• Working collaboratively with customers in order to maximize business results in the area and open up opportunities with enterprise customers.

ESSENTIAL EXPERIENCE 

1.   3.5 to 12-14 years of experience as a Software Developer.

2.   Experience in .Net technologies - C#, ASP.net is must.

3.   Experience in developing REST based PAPIs.

4.   Experience in building web user interface.

5.   Good to have experience in developing single page apps using modern JS framework.

6.   Skills in cross browser development.

7.   Understanding of Agile methodology.

8.   Excellent trouble shooting and communication skills.

9.   Knowledge of Azure will be an added advantage. 

JOB DESCRIPTION

1. Developing and implementing web-based applications using .Net technology and MS-SQL.
2. Developing front end with highly responsive user interface concept using React concept.
3. Identifying web-based user interaction.
4. Participate in requirement analysis.
5. Collaborate with internal teams and positive mindset to help and seek help.
6. Documentation of application development changes and updates. 

Maintain accurate records of employees in accordance with company policies & procedure.

Process payroll data on time & efficient manner.

Monitor gate entry of worker/staff in proper manner.

Managing store/workers/vender/gate pass records.