Content Writer

POSITION: Product Marketing Manager

Job Mode : Remote 

Shift Timings: 6.00 pm to 3.00 am IST (EST Time Zone)

We are seeking a Product Marketing Manager with a proven track record in B2B SaaS product

marketing. This individual will be responsible for positioning our products in the market, driving go-to-market strategies, and enabling sales teams with compelling messaging and competitive intelligence. You will report to the VP of Demand Generation & Revenue Strategy and work cross-functionally with Product, Sales, Customer Success, and Marketing teams.

JOB OVERVIEW:

Product Positioning & Messaging

● Develop and refine product positioning, messaging, and value propositions that resonate with target

audiences

● Create compelling product narratives that differentiate SalesIntel in competitive markets

● Conduct market research and competitive analysis to inform positioning strategies

● Develop messaging frameworks for different customer segments (SMB, Mid-Market, Enterprise)

Go-to-Market Strategy

● Lead go-to-market planning and execution for new product launches and feature releases

● Collaborate with Product teams to understand roadmap priorities and translate technical capabilities

into market-facing benefits

● Define target customer segments, buyer personas, and ideal customer profiles

● Develop pricing and packaging strategies in partnership with Product and Revenue teams

Sales Enablement & Training

● Create sales enablement materials including battle cards, competitive positioning, objection handling

guides, and demo scripts

● Develop and maintain sales training programs on product positioning, competitive differentiation, and

customer use cases

● Partner with Sales leadership to understand pipeline challenges and create materials to address

conversion bottlenecks

● Conduct regular sales training sessions and product updates

Customer & Market Intelligence

● Gather customer insights through interviews, surveys, and feedback analysis to inform product and

marketing strategies

● Analyze market trends, competitive landscape, and customer behavior to identify opportunities

● Create buyer journey maps and understand decision-making processes

Content & Campaign Strategy

● Develop product-focused content including whitepapers, solution briefs, webinars, and thought

leadership pieces

● Collaborate with Marketing teams to create integrated campaigns that drive product awareness and

adoption

● Create product marketing assets for trade shows, conferences, and industry events

● Support customer marketing initiatives with product-specific messaging and positioning

Cross-functional Collaboration

● Work closely with Product Management to influence roadmap priorities based on market feedback

● Partner with Customer Success to understand customer adoption patterns and expansion

opportunities

● Collaborate with Marketing teams to ensure consistent messaging across all channels

● Support Revenue teams with competitive intelligence and win/loss analysis

Performance Measurement

● Define and track product marketing KPIs including message resonance, sales adoption of materials,

and pipeline influence

● Conduct win/loss analysis to understand competitive positioning effectiveness

● Measure and optimize sales enablement program impact on conversion rates and deal velocity

● Analyze customer feedback and market response to refine messaging and positioning

REQUIRED SKILLS & QUALIFICATIONS:

● 10+ years of product marketing experience, preferably in B2B SaaS

● Experience in product positioning, go-to-market strategy, and competitive analysis

● Proven track record in sales enablement and creating materials that drive revenue impact

● Experience with market research, customer interviews, and competitive intelligence

● Deep understanding of B2B sales processes and buyer journeys

Technical Skills:

● Proficiency with CRM systems (Salesforce, HubSpot) and marketing automation platforms

● Strong analytical skills with experience in performance measurement and KPI tracking

● Familiarity with product management tools and methodologies

Core Competencies:

● Strong written and verbal communication skills with ability to translate technical concepts into

business value

● Analytical mindset with data-driven approach to strategy development

● Excellent project management skills with ability to manage multiple product launches simultaneously

● Experience working in fast-paced, high-growth SaaS environments

● Proven ability to influence cross-functional teams without direct authority

PREFERRED SKILLS & QUALIFICATIONS:

● SaaS experience across SMB, Mid-Market, and Enterprise segments

● Experience with AI-powered sales and marketing tools

● Experience working with remote and globally distributed teams

● Previous experience in customer-facing roles (sales, customer success, consulting)

REPORTING: This position will report to the Chief Revenue Officer or assigned Manager within the Department.

EMPLOYMENT TYPE: Full-Time

LOCATION: Remote

Job Role: Lead and manage the Sales process, ensuring team performance and customer satisfaction.

Job Title: Team Leader

Experience: Minimum 7 years of work experience

Age: 30 to 45 years

Type of position: Full-Time

Education Requirement: Graduate degree required.

Location: Work from Office 

Experience Required:

Must Have:

1. Minimum 3 years of experience in a Team Leader role.
2. Experience of involvement in driving the team of Revenue Functions.
3. Experience of Call Centre. 
4. Strong leadership and team management skills.
5. Understanding of Call Centre Matrix.
6. Average communication and interpersonal skills.
7. Ability to handle customer escalations and ensure satisfaction.
8. Knowledge of industry-specific tools and CRM systems

Job Description:

1. Lead and manage the team to meet and exceed Sales targets.
2. Monitor and analyze team performance, providing feedback and coaching as necessary.
3. Handle escalated customer issues, ensuring a swift and satisfactory resolution.
4. Collaborate with other departments to ensure a seamless sales process.
5. Maintain up-to-date knowledge of industry trends and customer needs.
6. Prepare and present regular reports on team performance and Dept. metrics.
7. Maintain the Conversion Ratios in Sales Matrix i.e. Lead to Deal and Deal to Won Agent wise etc.
8. Maintain Agent Wise revenue Pipeline.

Responsibilities:

• Conduct associate-level recruitment activities.
• Utilize job portals, LinkedIn, and Applicant Tracking Systems effectively.
• Coordinate with different departments to facilitate HR-related processes.
• Participate in HR projects, initiatives, and process improvements as assigned.
• Draft business emails and documents proficiently as required.
• Coordinate end-to-end activities with various vendors.
• Ensure sufficient and timely arrangement of assets.
• Support employee engagement initiatives and events.
• Stay updated with industry best practices and trends and make recommendations for process enhancements.
• Contribute to a positive and collaborative work environment within the people team and across the organization.

Competencies:

• Excellent attention to detail and organizational skills.
• Strong interpersonal and communication skills at all levels of the organization.
• Solid understanding of HR processes and best practices.
• Proficient in using G Suite (Sheets, Docs, Slides) and MS Office Suite (Word, Excel, PowerPoint).
• Ability to handle sensitive and confidential information with integrity and discretion.
• Strong communication skills, both verbal and written.
• Ability to prioritize tasks and work efficiently in a fast-paced environment

EXP- 8 to 12 years

time : 9 Am To 7 PM

Job Description:

Overall 6+ years of experience with 2+ years of experience with Vlocity implementation

Hands-on experience in Force.com platform using APEX, VisualForce, Process builders, flows

Experience with Salesforce Vlocity platform capabilities, including DataRaptors, Integration Procedures, Calculation Matrices and Procedures, OmniScripts, various cards UI framework and building Vlocity custom Templates

Should have expertise in Salesforce.com standard functionality and features (Sales, Services, Community and Commerce clouds)

Working experience with Salesforce Lightning Aura and Lightning Web Component

Deployment of Omniscript from one environment to another environment

Hand-on experience on Integration, especially good Knowledge in JSON and how integration works in Vlocity

Good knowledge of omniscript UI modification, Building Vlocity custom Templates

Hands-on experience in working with Lightning and design components.

Good experience in Salesforce configuration and mapping features to the business requirements

Should be comfortable working in Agile – user stories, features, story points

Good written and verbal communication Skills

Qualifications:

Engineering Graduate/MBA/MCA or equivalent

Vlocity Platform certification is mandatory and other industry certifications (CPQ, Order Management) are a plus

Salesforce Certifications are Mandatory

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

Day-to-Day Responsibilities:

1. Conducting tax planning and tax oversight for a special project.
2. Preparing income tax returns
3. Oversee the duties of the accounting team.
4. Implement accounting systems and processes.
5. Reconcile income statements.
6. Prepare monthly financial reports.
7. Control the master data of the general register.
8. Review and release online banking payments.
9. Ensure compliance with state revenue service.
10. Provide ongoing accounting and reporting support.
11. Manage the full financial process.
12. Prepare an expense budget report

• Good interpersonal skills: ability to communicate complex concepts. requiring a GCSE in English or equivalent
• Liaise with team members to identify and implement new features and technologies that will provide significant product enhancements and cutting-edge features.
• Must be self-motivated, enthusiastic, hardworking, and possess a willingness to learn.
• Confidence, enthusiasm, and the energy to make a significant contribution to an organization.
• Must be self-reliant and able to work independently or as part of a development team.
• Possess excellent innovative problem-solving skills.
• Evidence of organizational and analytical skills with an ability to research/investigate issues, analyze and consider wider implications, and then compile reports and/or present recommendations

Technical Knowledge

• Executing full lifecycle software development
• Programming well-designed, testable, efficient code
• 4+ years of work experience with React and function components.
• Advanced understanding of; React, Redux, JavaScript, ES6+, Jest.
• Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Good experience with HTML5, CSS3, responsive design, material UI
• Expert in Browser Compatibility, Responsive Web Design, Accessibility
• Basic understanding of Node.js, Express
• Experience using common design patterns. High standards for code quality, maintainability, and performance
• High understanding of web development UI/UX design principles and best practices
• Working knowledge of RESTful API Paradigms
• Feel comfortable with: Jira and Git (Bitbucket)
• A natural curiosity for new scripting languages, frameworks, and technologies
• Knowledgeable with Agile – Scrum way of working
• Solid working experience with TDD
• Azure experience
• Knowledge of web security principles, Data Protection Act and GDPR.
• Knowledge of working in an ISO27001 and Cyber Essentials compliant environment.

• Cold Calling
• Consulting Students and Guiding them to  the suitable course
• Helping students find the path to their passion