Sales and Marketing Executive

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

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Urgently Hiring React-Native App developer.

Job Location : Indore ( work from Office)

Experience needed : minimum 6 months needed ( Strictly No fresher please)

******

1) React-native developer must have expertise in designing as well as development with latest expo cli.

2) Must have expertise in json parsing with web services to make dynamic app.

3) Must have completed some fully dynamic React-native app.

4) He or she can work individually or in a team , immediate joiner will be preferred as we need on urgent basis.

*****

..***..

* Knowledge of Hotel Technology Sales

* Meeting or exceeding sales goals.

* Preparing weekly and monthly reports.

* Coordinating sales efforts with marketing programs.

* Preparing and submitting sales contracts for orders.

* Engage in sales calls

* Provide the corporate sales manager with the daily, weekly and monthly reports to know how many visits, figures and target achieved.

* Identify potential Customer and build a prospect hit list on monthly basis.

**Job Requirements**

• Excellent communication skills

• Presentation skills

• Good Communication and Negotiation skills

• 3+ Years of solid experience

• Bachelor’s degree in any field

• Sales skills

1. 6 months to 4 years hands on experience of PHP Laravel framework. 
2. Candidates from Gujarat can apply.

3. Candidates can also apply if willing to relocate.

4. 5 days working from office only.

• Deep understanding of technologies and architecture for a scalable and highly available set-up
• Experienced in Java/Golang and related Technologies like Spring/Hibernate
• Strong networking and Operating Systems fundamentals
• Experienced in Streaming technologies like Kafka
• Experience working with SQL and NoSQL Databases
• Experienced in developing the long-term tech strategy for analytics and translate that into an achievable roadmap