
Digital Marketing Manager for Woliba
Job Overview
Woliba is leading the way with a fully virtual, one-stop platform to help organizations small and large continue to drive success with company culture, morale and workplace wellbeing. We help companies enhance their employee experience with one comprehensive platform to manage wellbeing, engagement, recognition, and rewards. We are currently ranked as one of the top Corporate Wellness Programs globally beating out many of the long-standing competitors in the industry. We are looking to disrupt our space but need the right team in place to help with these efforts. If you’re looking to grow your career in a fast-paced environment and work for a company that helps organizations and their teams, we’d love to hear from you! You must be a self-starter, motivated and passionate about wellness.
Responsibilities for Digital Marketing Manager
- Develops digital marketing strategy by studying economic indicators, tracking changes in supply and demand, identifying customers and their current and future needs, and monitoring the competition.
- Plans and executes all web, SEO/SEM, database marketing, email, social media, and display advertising campaigns.
- Designs, builds and maintains our social media presence.
- Contributes to marketing effectiveness by identifying short-term and long-range issues that must be addressed.
- Measures and reports performance of all digital marketing campaigns and assesses against goals (ROI and KPIs).
- Identifies trends and insights, and optimizes spend and performance based on the insights.
- Brainstorms new and creative growth strategies through digital marketing.
- Plans, executes, and measures experiments and conversion tests.
- Collaborates with internal teams to create landing pages and optimize the user experience.
- Utilizes strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points.
- Identifies critical conversion points and drop off points and optimizes user funnels.
- Completes digital marketing department operational requirements by scheduling and assigning employees and following up on work results.
- Maintains digital marketing staff by recruiting, selecting, orienting, and training employees.
- Supports and guides the direction of email marketing campaigns
- Maintains digital marketing staff job results by counseling and disciplining employees; and planning, monitoring, and appraising job results.
- Develops digital marketing staff by providing information, educational opportunities, and experiential growth opportunities.
Qualifications and skills for Digital Marketing Manager
- Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform, and motivate
- Creating and maintaining client relationships
- Coaching and subordinate involvement
- Managing processes
- Self-motivated yet customer-focused
- Proficient in marketing research and statistical analysis
- Able to develop budgets
- Familiar with financial planning and strategy
- Bachelor's degree in marketing or business
- Great problem-solving skills
- Proficient in photo and video editing software such as Adobe
- Deep knowledge of web design principles
- Proficient in MS Office Suite, including Outlook, Excel and Word.
- Great communication skills
- Strong project management skills
- Experience working with project management tools such as Asana or Trello
- SEO and SEM experience such as link building and on-page optimization
Education and Experience Requirements:
- Bachelor’s or Master’s degree in marketing or a related field
- Proven working experience in digital marketing, particularly within the SaaS industry
- Demonstrable experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns
- Experience in optimizing landing pages and user funnels
- Experience with A/B and multivariate experiments
- Solid knowledge of website and marketing analytics tools (e.g., Google Analytics, NetInsight, Omniture, WebTrends, SEMRush, etc.)
- Experience with marketing tech tools for social media management and email marketing, and influencer outreach such as BuzzSumo, BuzzStream, Buffer, MailChimp, and HootSuite.
- Working knowledge of ad serving tools
- Experience in setting up and optimizing PPC campaigns on all major search engines
- Working knowledge of HTML, CSS, and JavaScript development and constraints

About Woliba
About
Woliba’s mission is to help create a culture of wellbeing so employees can thrive. By making work less stressful and teams more connected, Woliba is reimagining engagement, recognition and wellness for growing companies.
Similar jobs
Hello
Hope you are doing great
We have an Urgent & high-priority global opening with a leading consulting organization in Qatar. Immediate interview slots available. We are looking for a Senior Data & AI Consultant with strong Azure expertise to work in a highly client-facing consulting role.
🔹 Quick Role Overview
- Role: Senior Data & AI Consultant
- Location: Doha, Qatar (Onsite)
- Employment Type: Full-time
- Travel: GCC travel required
- Experience Required: 8+ years
- Domain: Data Strategy, Data Engineering, AI/ML, Consulting
- Industry Exposure: Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities
📌 Role Summary
The Senior Data & AI Consultant will play a critical role in driving enterprise Data & AI transformations across clients. This role blends data strategy, architecture, engineering, governance, and AI/ML delivery with strong consulting, stakeholder management, and pre-sales responsibilities.
You will work closely with CXOs, business leaders, and technical teams to design scalable Azure-based data platforms, develop advanced analytics and AI solutions, and guide organizations on responsible AI adoption.
🎯 Key Responsibilities
1. Data Strategy & Advisory
- Develop enterprise-wide Data & AI strategies and transformation roadmaps
- Perform data maturity assessments and define improvement plans
- Lead CXO-level workshops aligning business goals with Data & AI initiatives
- Guide clients on responsible and ethical AI practices
2. Data Architecture & Engineering
- Design scalable data platforms on Microsoft Azure
- Architect and implement batch and real-time pipelines using ADF, Synapse, Databricks, Event Hubs
- Build enterprise data models and modern lakehouse architectures
- Implement data quality, metadata, and lineage solutions using Azure Purview
- Partner with AI teams to ensure data readiness for ML/AI use cases
3. AI & Advanced Analytics
- Lead end-to-end AI/ML solution development using Azure ML, OpenAI, Cognitive Services
- Build ML and Generative AI solutions (LLMs, RAG, prompt engineering)
- Implement MLOps practices (CI/CD, deployment, monitoring, governance)
- Ensure Responsible AI – explainability, fairness, and compliance
- Collaborate across the full AI lifecycle: data sourcing → modeling → deployment
4. Consulting, Pre-Sales & Leadership
- Lead client workshops, PoCs, demos, and discovery sessions
- Support proposal development and solution architecture design
- Contribute to thought leadership (blogs, whitepapers, events)
- Mentor junior consultants and ensure delivery excellence
🧠 Desired Skills & Competencies
✅ Must-Have
- 8+ years of experience across Data, Analytics, and/or AI roles
- Strong hands-on experience in the Azure ecosystem
- Proven consulting and client-facing experience
- Exposure to at least one specialization:
- Data Management
- Data Governance
- AI/ML Engineering
🔧 Technical Expertise (Any one or more areas)
A. Data Management
- Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs
- Strong SQL, Python, Spark
- Data modeling, ETL/ELT, data quality frameworks
- Exposure to Microsoft Fabric / Airflow / Kafka
B. Data Governance & Strategy
- Knowledge of DAMA-DMBOK, CMMI-DMM
- Experience with Informatica (Axon, IDQ, EDC, IDMC)
- Governance operating models, stewardship, privacy frameworks
C. AI/ML Engineering
- Python, TensorFlow, PyTorch, Scikit-learn, Azure ML
- Generative AI, LLMs, RAG pipelines
- Experience in at least 3 domains: NLP, CV, predictive modeling, recommender systems, anomaly detection
- Strong MLOps exposure
🤝 Consulting & Leadership Skills
- Excellent stakeholder and CXO communication
- Strong problem-solving and business translation skills
- Workshop facilitation, proposal writing, client presentations
- Mentoring and technical leadership capabilities
🎓 Education & Certifications
Required Qualification:
- BCA / B.Sc. (Computer Science) / B.E. / B.Tech
- MCA / M.E. / M.Tech
Hope you are doing great!
We have an Urgent opening for a Senior Automation QA professional to join a global life sciences data platform company. Immediate interview slots available.
🔹 Quick Role Overview
- Role: Senior Automation QA
- Location: Pune(Hybrid -3 days work from office)
- Employment Type: Full-Time
- Experience Required: 5+ Years
- Interview Process: 2–3 Rounds
- Qualification: B.E / B.Tech
- Notice Period : 0-30 Days
📌 Job Description
IntegriChain is the data and business process platform for life sciences manufacturers, delivering visibility into patient access, affordability, and adherence. The platform enables manufacturers to drive gross-to-net savings, ensure channel integrity, and improve patient outcomes.
We are expanding our Engineering team to strengthen our ability to process large volumes of healthcare and pharmaceutical data at enterprise scale.
The Senior Automation QA will be responsible for ensuring software quality by designing, developing, and maintaining automated test frameworks. This role involves close collaboration with engineering and product teams, ownership of test strategy, mentoring junior QA engineers, and driving best practices to improve product reliability and release efficiency.
🎯 Key Responsibilities
- Hands-on QA across UI, API, and Database testing – both Automation & Manual
- Analyze requirements, user stories, and technical documents to design detailed test cases and test data
- Design, build, execute, and maintain automation scripts using BDD (Gherkin), Pytest, and Playwright
- Own and maintain QA artifacts: Test Strategy, BRD, defect metrics, leakage reports, quality dashboards
- Work with stakeholders to review and improve testing approaches using data-backed quality metrics
- Ensure maximum feasible automation coverage in every sprint
- Perform functional, integration, and regression testing in Agile & DevOps environments
- Drive Shift-left testing, identifying defects early and ensuring faster closures
- Contribute to enhancing automation frameworks with minimal guidance
- Lead and mentor a QA team (up to 5 members)
- Support continuous improvement initiatives and institutionalize QA best practices
- Act as a problem-solver and strong team collaborator in a fast-paced environment
🧩 Desired Skills & Competencies
✅ Must-Have:
- 5+ years of experience in test planning, test case design, test data preparation, automation & manual testing
- 3+ years of strong UI & API automation experience using Playwright with Python
- Solid experience in BDD frameworks (Gherkin, Pytest)
- Strong database testing skills (Postgres / Snowflake / MySQL / RDS)
- Hands-on experience with Git and Jenkins (DevOps exposure)
- Working experience with JMeter
- Experience in Agile methodologies (Scrum / Kanban)
- Excellent problem-solving, analytical, communication, and stakeholder management skills
👍 Good to Have:
- Experience testing AWS / Cloud-hosted applications
- Exposure to ETL processes and BI reporting systems
Position Title: Sales Specialists/Executives
- Location: PAN India (*Tier 1, Tier 2, Tier3)
- Salary Range: 4 LPA to 5.5 LPA (includes performance bonus of 1 lac)+ Incentives+ Perks+ TA+ DA
- Education: Bachelor's degree in any stream or Master's degree/MBA
- Experience: Min 2- 3 years in Sales with a background from industries such as (IT, Telecom, Broadband, Mobility, SIM card sales/distribution, Credit Card sales/promo on, B2B (Business-to-Business), B2C (Business-to-Customer), FMCG or any field sales experience candidates.
Key Skills:
1. Self-driven, dynamic, and confident individual with a result-oriented approach.
2. Top achiever or best performer in previous organization.
3. Customer-focused attitude with strong follow-up skills.
4. Ability to work independently and as part of a team.
5. Proficiency in MS Office and preferably CRM software.
Skills Required:
- Experience of more than 4 to 6 years in software development.
- Very Strong Experience in Core Java.
- Excellent Java Programming skills Experience in Data Structures, Algorithms and Design Patterns.
- Strong in Problem solving, Analytical skill and logical thinking.
- Skill to be trained: java, spring, mango db, cassandra.
- Strong experience in Spring Boot, Restful API
- Looking for shorter notice period candidates only.
.Net developer role will involve working in all phases of the software development cycle. Build new systems with Microsoft technologies with primary focus in C#, .NET, .Net Core,Web API, SQL, Entity Framework, Async Programing, Git, and Design patterns. Be an effective team player in a small, experienced and energetic team working on a rapid and agile development schedule.
Required Skills 3-5 years of experience as a developer
3+ years in Microsoft Web-related Technologies
Deep knowledge of the .NET Framework, .NET Core,
.Net, MVC, C#, ENTITY Framework, REST web services
– Authentication, Authorization, Performance Tuning,
JSON, Unit testing – Nunit, Xunit
Experience in Data Modelling, Object Oriented Designs
Experience in integrating with other systems like Payment
gateway or third-party API or integration tools like Boomi
Hands-on experience in SQL Server stored procedure
development and fine-tuning.
Experience in using GitHub, project management, defect
tracking tools.
Provide accurate status to Management/Project Managers
and escalating where appropriate
Mentor and guide new developers and team
Self-directed with excellent problem-solving skills
Strong written and Oral communication skills and must be
a fast learner adapting to new technologies and frameworks.
Review test plans with QA & drive the code reviews
within the team
BE in CS, MCA or BSc in Math or equivalent
Desirable Skills
Exposure to Azure services, AWS services, cloud deployment
We are looking for a person who has good knowledge of digital marketing, and who is well known in SEO, SMO, and Google Ad console.
Responsibilities:
• Doing market research on trending content and creating content on the same.
• Assisting the marketing team in daily admin tasks.
• Helping in planning and organizing marketing events.
• Working on growth of website through SEO and google analytics.
• Designing multiple social campaigns considering recent trends in market.
If you are a people-person who loves the rewarding challenge of building a brand and you are a passionate enthusiast sharing our vision and having good marketing skills can apply here.
• Full-time education must UG or PG
• Impeccable good comm skills & presentable.
• Responsible for sourcing resumes from the portals/engines, Vendors, data bank, references, networking, headhunting, etc
• Proper documentation of the hiring process and creating candidate database
• Should have knowledge in permanent as well as contractual staffing
• Salary negotiation
• Should be able too to do all formalities till the candidate joins
Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 29th Mar'22 and 3rd May'22 3. are available for duration of 3 months
- Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
- Implement data pipelines, new features, and algorithms that are critical to our production models
- Create scalable strategies to deploy and execute your models
- Write well designed, testable, efficient code
- Identify valuable data sources and automate collection processes.
- Undertake to preprocess of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
Requirements:
- 1+ years of experience in applied data science or engineering with a focus on machine learning
- Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
- strong quantitative and programming skills with a product-driven sensibility








