Product Marketing Manager

ROLES AND RESPONSIBILITIES:

Standardization and Governance:

• Establishing and maintaining project management standards, processes, and methodologies.
• Ensuring consistent application of project management policies and procedures.
• Implementing and managing project governance processes.

Resource Management:

• Facilitating the sharing of resources, tools, and methodologies across projects.
• Planning and allocating resources effectively.
• Managing resource capacity and forecasting future needs.

Communication and Reporting:

• Ensuring effective communication and information flow among project teams and stakeholders.
• Monitoring project progress and reporting on performance.
• Communicating strategic work progress, including risks and benefits.

Project Portfolio Management:

• Supporting strategic decision-making by aligning projects with organizational goals.
• Selecting and prioritizing projects based on business objectives.
• Managing project portfolios and ensuring efficient resource allocation across projects.

Process Improvement:

• Identifying and implementing industry best practices into workflows.
• Improving project management processes and methodologies.
• Optimizing project delivery and resource utilization.

Training and Support:

• Providing training and support to project managers and team members.
• Offering project management tools, best practices, and reporting templates.

Other Responsibilities:

• Managing documentation of project history for future reference.
• Coaching project teams on implementing project management steps.
• Analysing financial data and managing project costs.
• Interfacing with functional units (Domain, Delivery, Support, Devops, HR etc).
• Advising and supporting senior management.

IDEAL CANDIDATE:

• 3+ years of proven experience in Project Management roles with strong exposure to PMO processes, standards, and governance frameworks.
• Demonstrated ability to manage project status tracking, risk assessments, budgeting, variance analysis, and defect tracking across multiple projects.
• Proficient in Project Planning and Scheduling using tools like MS Project and Advanced Excel (e.g., Gantt charts, pivot tables, macros).
• Experienced in developing project dashboards, reports, and executive summaries for senior management and stakeholders.
• Active participant in Agile environments, attending and contributing to Scrum calls, sprint planning, and retrospectives.
• Holds a Bachelor’s degree in a relevant field (e.g., Engineering, Business, IT, etc.).
• Preferably familiar with Jira, Azure DevOps, and Power BI for tracking and visualization of project data.
• Exposure to working in product-based companies or fast-paced, innovation-driven environments is a strong advantage.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Our client is a SaaS platform that integrates technologies including Artificial Intelligence, Machine Learning, Big Data Analytics, and Automation to offer brands a comprehensive Customer Experience Management Suite. Our powerful analytics algorithms have empowered established brands to solidify their presence in the digital realm and revolutionize their customer experience endeavors. 

Position Description: We are seeking a dynamic Manager - Enterprise Sales to drive revenue growth and expand our B2B SaaS client base. The ideal candidate will have a proven track record of exceeding sales targets, nurturing client relationships, and deep expertise in the SaaS sector.

Key Responsibilities:

- Develop and execute high-impact sales strategies to surpass targets in the B2B SaaS sector.

- Identify and cultivate new business opportunities through strategic networking and leveraging industry connections.

- Build and maintain strong relationships with enterprise-level clients, understanding their needs and delivering tailored SaaS solutions.

- Collaborate with the marketing team to create targeted campaigns and compelling collateral for enterprise clients.

- Conduct product demonstrations and presentations to key stakeholders, highlighting the value proposition of our SaaS products.

- Manage contract negotiations and guide prospects through the sales process from initial contact to deal closure.

- Stay informed about industry trends, competitors, and market conditions to seize opportunities and mitigate risks.

Requirements

- Bachelor's degree in Business Administration, Marketing, or related field; MBA preferred.

- 5+ years of successful B2B SaaS Enterprise Sales experience, consistently exceeding sales targets.

- Deep understanding of the SaaS industry, including trends, technologies, and customer pain points.

- Excellent communication, negotiation, and presentation skills.

- Ability to foster and maintain relationships with enterprise-level clients.

- Strong analytical skills to translate client needs into effective SaaS solutions.

- Capacity to work independently and collaboratively in a team environment.

- Willingness to travel for client engagement and industry events.

Benefits

- Medical Coverage: Comprehensive healthcare coverage for you and your family.

- Fast-Paced and Dynamic Work Environment: Opportunity to thrive in an innovative, agile workplace with real impact.

- Learning and Upskilling: Access to professional development resources, including training and workshops.

- Collaborative Workplace: Join a team that values open communication, knowledge sharing, and mutual respect.

• 3-6 years of relevant work experience in a Data Engineering role.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• A good understanding of Airflow, Spark, NoSQL databases, Kafka is nice to have.
• Premium Institute Candidates only

• Degree in Computer Science or related discipline.
• AWS Certified Solutions Architect certification required
• 5+ years of architecture, design, implementation, and support of highly complex solutions (i.e. having an architectural sense for ensuring security and compliance, availability, reliability, etc.)
• Deep technical experience in serverless AWS infrastructure
• Understanding of cloud automation and orchestration tools and techniques including git, terraform, ARM or equivalent
• Create Technical Design documents, understand technical designs and translate into the application requirements.
• Exercise independent judgment in evaluating alternative technical solutions
• Participate in code and design review process
• Write unit test cases for quality check of the deliverables
• Ability to work closely with others in a team environment as well as independently
• Proven ability to problem solve and troubleshoot
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
• Excellent English communication skills are required

We are looking for a Solution Architect with at least 5 years’ experience working on the following to join our growing team:

• AWS
• Postgresql
• EC2 on AWS
• Cognito
• and most importantly Serverless

You will need a strong technical AWS background focused on architecting on serverless (eg Lambda) AWS infrastructure. 

• Understand Prospect’s Pain Areas and educate them with the right Solution and approach
• Generate Leads by Direct Visits, Cold Calls, Cold Email & Social media
• Attend offline networking events, community events and hearings to generate leads
• Research the market to develop warm leads
• Capable of processing Inbound Leads & Outbound Leads (ABM)
• Qualify Customers to establish Product – Solution Fit
• Sound Presentation skills to do a live demo of Solution to Prospects
• Upsell/Cross Sell additional products/modules as the need arises
• Use CRM effectively to assist yourself, track progress with new prospects and report to management
• Strong work ethic to follow up prospects and do not allow leads to slip through cracks
• Focus on achieving Revenue and activity targets on a daily & Weekly basis
• Win Commissions and Contests regularly
• Self Accountable and report weekly progress in team meetings
• Confident to discuss price, negotiate (trade) with Prospects
• Team player working with Marketing and Customer Success Team
• Maintain contact with existing clients to make sure they are satisfied and request referrals

• Previous working experience as an Outbound Sales for 2-5 year(s)
• Bachelors degree in Marketing, Sales, IT or similar relevant fields
• Excellent communication, interpersonal and presentation skills
• Networking aptitude
• Fearless attitude and a hunter mentality
• Demonstrated winning 10-15 Deals and Target accomplishments
• Basic understanding of Finance as you may have to demo with CFOs to Accountants