
Project Management KRAsProject Management KRAs
Job Description (Major KRAs) –
1) Planning- Understand/Work/Create/Assist :
a. SMO Tracker
2) Team & Vendor Management: Individual Contribution, Buddy Coaching, Participate inRecruitment/Induction, KRA setting and Performance Evaluation:
a. Work Allocation Based on Activity Charter & SMO Tracker
b. Primary & Secondary Work related ownership to ensure business continuity as a part of risk mitigation
c. Setting up KRAs (using InnoWET) and Performance review
d. Time sheet Management & Analysis
e. Social Media Participation and updated Profile
3) Campaign Deliverables : Timely Plan, Manage, Monitor and Communicate :
a. SMO and Activity Charter specific Content & Creative work packs and stacks for clients ( weekly to monthly )
b. BTL- Onetime & Frequent list
c. ATL Excel Sheet
4) Review & Analytics:
a. Client’s success PPT and Report with executive summary
b. Team Productivity based on Time Sheets
c. Power of 5 /Activity Charter Conformance Report
d. Search Engine Marketing /Paid Campaigns Report and Plan of Action
e. Consolidated success Report /PPT for internal stakeholders
5) CRM/Account Management:
a. Presales Support for New Business Development
b. Participation & representation of Digitally Next in PR centric activities , forum and Seminars as and when required.
c. Initiate and Manage Key Account Management for cross selling opportunities to present clients
d. To be a think tank to the management by providing the required Market Intelligence and Business Intelligence related to IoT/Digital/Social Media.
6) Project Management Tools & Automation:
a. Updating and Managing Knowledge Management repository
b. Effective implementation and use of social media Tools(if any)
c. Keeping and custodian of Clients and BFGs usernames and passwords list
d. Creating and upkeep of Process Manual with SLAs
e. Building and updating templates according to work functions

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We have opening for Paid Marketing Executive for Ahmedabad ( Ambavadi ) Location
Paid Marketing Executive
Job Description:
- Plan, launch, and optimize performance marketing campaigns across Google Ads, Meta Ads, and LinkedIn Ads.
- Manage end-to-end campaign execution - from targeting, ad setup, creative testing, landing page optimization, to post-campaign reporting.
- Drive lead generation and user acquisition by optimizing for lower CPA and higher ROAS.
- Run remarketing, retargeting, and lookalike campaigns to nurture leads and improve conversion rates.Implement A/B testing for ad creatives, copies, landing pages, and funnels to maximize campaign performance.
- Leverage AI tools and automation techniques to streamline campaign processes, enhance efficiency, and improve overall campaign performance.
- Monitor budgets, track KPIs (CTR, CPC, CPA, ROAS, Conversion Rates), and ensure efficient utilization of ad spend.
- Track, analyze, and report performance using tools like Google Analytics, Google Tag Manager, Meta Ads Manager, LinkedIn Campaign Manager, and dashboards.
Requirements
2 + years of experience in performance marketing / digital marketing,
preferably in B2B or in Finance sector.
Hands-on expertise in Google Ads, Meta Ads, and LinkedIn Ads for B2b Marketing.
Strong analytical skills with experience in A/B testing, funnel optimization, and data-driven decision-making.
Proficiency in campaign tracking and analytics tools (Google Analytics, GTM, Ads Managers, etc.).
Ability to manage budgets effectively and deliver measurable business
outcomes.
Bachelor’s degree in Marketing, Business, or a related field
Certifications in Google Ads or Facebook Blueprint are a plus
We are seeking an experienced Senior Systems Operations Engineer with 6+ years of experience in Application Production Support, Systems Operations, and Incident Management. The ideal candidate will be responsible for maintaining the stability, availability, and performance of production applications and infrastructure while ensuring adherence to ITIL processes and operational excellence.
The candidate should possess strong expertise in Linux/Unix administration, SQL/Oracle Database support, Production Issue Analysis, Incident & Change Management, and monitoring tools such as Splunk, Grafana, and AppDynamics. The role requires excellent troubleshooting skills, stakeholder communication, and the ability to lead critical incident resolution activities in a 16X7 production environment.
Key Responsibilities:
• Provide advanced production support for critical business applications, ensuring high availability and performance.
• Lead incident and change management processes, including root cause analysis and resolution of production issues.
• Monitor application health using tools such as SPLUNK, Grafana, and AppDynamics.
• Collaborate with development, infrastructure, and business teams to drive continuous improvement in system operations.
• Maintain and optimize Linux/Unix environments and SQL/Oracle databases.
• Document operational procedures, troubleshooting steps, and best practices.
Required Skills:
• Strong experience with Linux/Unix system administration.
• Advanced proficiency in SQL and Oracle database management.
• Expertise in incident and change management within enterprise environments.
• Proven ability to analyse and resolve production issues efficiently.
• Hands-on experience with monitoring and alerting tools: SPLUNK, Grafana, AppDynamics.
• Excellent communication and collaboration skills.
• Experience with cloud platforms (AWS, Azure, GCP)
Desired Candidate Profile
• 6+ years of experience in Application Production Support and Systems Operations.
• Proven experience managing mission-critical production environments.
• Strong expertise in Linux/Unix, SQL, Oracle Database, and monitoring tools.
• Demonstrated success in incident resolution, RCA preparation, and service improvement initiatives.
• Ability to work effectively in a fast-paced 16x7 production support environment.
• Exposure to AI tools and implementation as well
Job Title : AWS Data Engineer
Experience : 4+ Years
Location : Bengaluru (HSR – Hybrid, 3 Days WFO)
Notice Period : Immediate Joiner
💡 Role Overview :
We are looking for a skilled AWS Data Engineer to design, build, and scale modern data platforms. The role involves working with AWS-native services, Python, Spark, and DBT to deliver secure, scalable, and high-performance data solutions in an Agile environment.
🔥 Mandatory Skills :
Python, SQL, Spark, AWS (S3, Glue, EMR, Redshift, Athena, Lambda), DBT, ETL/ELT pipeline development, Airflow/Step Functions, Data Lake (Parquet/ORC/Iceberg), Terraform & CI/CD, Data Governance & Security
🚀 Key Responsibilities :
- Design, build, and optimize ETL/ELT pipelines using Python, DBT, and AWS services
- Develop and manage scalable data lakes on S3 using formats like Parquet, ORC, and Iceberg
- Build end-to-end data solutions using Glue, EMR, Lambda, Redshift, and Athena
- Implement data governance, security, and metadata management using Glue Data Catalog, Lake Formation, IAM, and KMS
- Orchestrate workflows using Airflow, Step Functions, or AWS-native tools
- Ensure reliability and automation via CloudWatch, CloudTrail, CodePipeline, and Terraform
- Collaborate with data analysts and data scientists to deliver actionable insights
- Work in an Agile environment to deliver high-quality data solutions
✅ Mandatory Skills :
- Strong Python (including AWS SDKs), SQL, Spark
- Hands-on experience with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
- Experience with DBT and ETL/ELT pipeline development
- Workflow orchestration using Airflow / Step Functions
- Knowledge of data lake formats (Parquet, ORC, Iceberg)
- Exposure to DevOps practices (Terraform, CI/CD)
- Strong understanding of data governance and security best practices
- Minimum 4–7 years in Data Engineering (3+ years on AWS)
➕ Good to Have :
- Understanding of Data Mesh architecture
- Experience with platforms like Data.World
- Exposure to Hadoop / HDFS ecosystems
🤝 What We’re Looking For :
- Strong problem-solving and analytical skills
- Ability to work in a collaborative, cross-functional environment
- Good communication and stakeholder management skills
- Self-driven and adaptable to fast-paced environments
📝 Interview Process :
- Online Assessment
- Technical Interview
- Fitment Round
- Client Round
Business Development Manager — Reality Rift
Location: Remote (India) Type: Full-time Experience: 2–5 years
About Reality Rift
Reality Rift is a product-first technology company based in Hyderabad, building for the world. We do end-to-end software development for businesses — AI products, custom platforms, mobile apps, web applications, cloud infrastructure, dashboards, workflow automation, chatbots, integrations, and SaaS. We don't just write code — we architect, build, ship, and scale entire products. Our own product, HelloAria, is an AI productivity assistant used by 30,000+ people across 80+ countries. We're backed by NVIDIA Inception, AWS Activate, Google Cloud Startups, and Vercel. Now we're looking for someone to grow our services business.
What you'll do
You'll own the full sales cycle — from finding prospects to closing deals. No handoffs, no layers. You find them, you pitch them, you close them.
Day to day, that means identifying potential clients across industries — business owners, decision-makers, CXOs, department heads — anyone who needs software built right. Running outbound outreach through LinkedIn, email, and relevant channels. Getting on discovery calls to understand their problems and figure out how Reality Rift fits. Putting together proposals with scope and pricing (our technical team helps with estimation). Following up, negotiating, and closing. Managing your pipeline in a CRM so nothing slips. Working directly with the founder to sharpen positioning as we learn what resonates in different markets.
Our clients range from early-stage companies building their first product to established businesses modernizing their operations. The deals can be anything from a custom AI tool to a full platform build to an ongoing engineering engagement.
What we're looking for
You've sold software services before — custom development, platform builds, or technology consulting. Not just SaaS subscriptions, but actual project-based or retainer-based engagements where you had to understand a client's business problem and position a technical solution. You can write cold outreach that gets replies from busy people. You're comfortable on video calls with clients across India and internationally, and can hold a conversation about AI, automation, cloud, and product development without reading from a script. You track your own pipeline religiously. You're self-driven — nobody here is going to micromanage your activity.
Specifically, you should have experience with cold outreach and lead generation (LinkedIn, email, communities, events), running discovery and qualification calls with business stakeholders, writing proposals and scoping documents, CRM tools (HubSpot, Pipedrive, or similar), and selling technology services to Indian and global clients in fluent English.
Nice to have
Experience at a software company, IT services firm, or digital agency (under 50 people). Familiarity with prospecting tools like Apollo, LinkedIn Sales Navigator, Clay, or Instantly. Basic understanding of the AI/LLM landscape and how businesses are adopting it. Comfort with social selling — posting on LinkedIn, engaging in business and tech communities. Experience sourcing leads through platforms like Clutch, GoodFirms, or Upwork.
What we don't need
An MBA. Enterprise procurement or government tender experience. Deep technical knowledge — that's what our engineering team is for. Management experience — there's no team to manage yet.
Primary Skills
- Observability: ELK (Elasticsearch/Kibana), Prometheus, Grafana, PromQL
- Automation: Java/Vert.x or Python (FastAPI), Shell/Bash, REST/SOAP APIs
- Cloud & Platform: Docker, Kubernetes, Kafka, Redis
- Reliability Engineering: Distributed Systems, Microservices, Event-Driven Architecture, DR & Incident Management
- Stakeholder Management & Cross-functional Collaboration
Secondary Skills
- Agentic AI: LangChain, LangGraph, RAG, MCP
- LLM Integration & AI Frameworks
- Python (FastAPI)
Key Responsibilities
- Build and deploy LLM-powered Agentic AI solutions with tool calling and autonomous workflows.
- Integrate AI capabilities into existing applications using modern AI frameworks.
- Own platform reliability through SLAs, SLOs, error budgets, MTTD/MTTR, and operational governance.
- Enhance observability using ELK, Prometheus, Grafana, and advanced alerting.
- Lead incident response, RCA, disaster recovery, and resiliency initiatives.
- Drive production readiness, automation, platform stability, and infrastructure optimization.
Job Description: Node.js Developer (3+ Years Experience)
Division/Department: Engineering
Industry: Insurance / Fintech
Employment Type: Full-Time, Permanent
Job Summary
We are looking for a skilled Node.js Developer who is experienced with JavaScript/TypeScript, databases, and modern AI development tools. You will build and maintain backend applications, design scalable systems, and use AI tools to enhance development productivity. The role involves backend development, database management, API development, and cloud deployment.
What You’ll Be Doing
Backend Development
- Build and maintain Node.js applications, services, and APIs.
- Write clean, readable JavaScript/TypeScript code.
- Create and manage REST APIs; work with GraphQL when required.
- Develop microservices and containerized applications (Docker).
- Participate in code reviews and help maintain coding standards.
Database Work
- Design database schemas for PostgreSQL, MongoDB, and Redis.
- Write optimized SQL and NoSQL queries.
- Implement indexing and manage database performance tuning.
- Handle database scaling and caching strategies.
AI Tools & Productivity
- Use AI coding assistants (GitHub Copilot, Cursor AI, Tabnine).
- Integrate AI APIs (OpenAI, Claude) into backend applications.
- Build features powered by AI/ML capabilities.
- Use AI tools to debug and enhance code quality.
Deployment & Operations
- Deploy applications on AWS, Azure, or GCP.
- Set up CI/CD pipelines (GitHub Actions, Jenkins).
- Work with Docker and Kubernetes.
- Monitor backend services and perform troubleshooting.
Job Requirements
Must-Have (2–7 Years Experience)
- Strong hands-on experience with Node.js and Express.js.
- Excellent understanding of JavaScript/TypeScript, ES6+, async/await.
- Experience with at least one major database: PostgreSQL, MongoDB, Redis.
- Knowledge of API development (REST, GraphQL).
- Hands-on experience with Git and version control.
- Experience with testing tools like Jest, Mocha, or similar.
AI Tools Experience
- Familiarity with AI coding assistants.
- Working with AI APIs (OpenAI, Claude, etc.).
- Experience using AI tools for debugging and code optimization.
- Basic understanding of prompt engineering.
Bonus Skills (Good to Have)
- Cloud platforms: AWS, Azure, Google Cloud.
- Docker, Kubernetes.
- CI/CD pipelines.
- Frontend exposure (React/Vue/Angular).
- Message queues: RabbitMQ, Kafka.
- Caching: Redis, Memcached.
- API security: JWT, OAuth2.
Mandatory Skills
Technical
- Experience building and deploying Node.js applications.
- Strong command over databases and efficient query writing.
- Comfort with AI-based coding tools.
- Ability to debug and solve backend issues independently.
Soft Skills
- Strong communication and teamwork skills.
- Self-driven and eager to learn new technologies.
- Ability to mentor junior developers (for senior positions).
Designation: Business Development Associate (Sales executive)
Salary: Upto 18K per month (fixed) and variables (based on performance)
Basic Requirement:
Good Communication skills. (Telephonic conversations)
Being motivated to sell and being able to bounce back from setbacks.
Having experience in selling by giving advice and understanding the
customer's needs.
Being focused on reaching targets and getting things done
Able to take pressure to deliver 1 sale per day
Qualification:
Education: Graduation/ Post Grad Degree, MBA
Experience: 1+ years sales experience
Working Days: 6- Sunday off
Training:
All selected candidates will undergo certification process
Job Profile:
Interacting with the customers over calls daily
Identifying prospects for business
Minimum 2.30 Hrs of Talk time
Conducting product demo sessions in Tamil or English (as per customer’s
choice)
Generating revenue by selling available subscription
Job Description : - We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to play a senior leadership role in our Product & Technology Research Team. -
You will be leading a team of CV researchers to build models that automatically transform millions of e-commerce, automobiles, food, real-estate ram images into processed final images. -
You will be responsible for researching the latest art of the possible in the field of computer vision, designing the solution architecture for our offerings and lead the Computer Vision teams to build the core algorithmic models & deploy them on Cloud Infrastructure. -
Working with the Data team to ensure your data pipelines are well set up and models are being constantly trained and updated - Working alongside product team to ensure that AI capabilities are built as democratized tools that provides internal as well external stakeholders to innovate on top of it and make our customers successful - You will work closely with the Product & Engineering teams to convert the models into beautiful products that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements: - Min 3+ years of work experience in Computer Vision with 5-8 years work experience overall - BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute - Exposure on Deep Learning Techniques, TensorFlow/Pytorch - Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models - Expertise with Image Processing Python libraries like OpenCV, etc. - Good hands-on experience on Python, Flask or Django framework - Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus - Great interpersonal and communication skills - Critical thinker and problem-solving skills In Media.
3 - 5 Years of experience, in that min 2 years of experience with PHP MVC frameworks like
Laravel(preferred), CodeIgniter, etc.
Strong Experience in PHP and MySQL and their declarative query languages
Understanding the fully synchronous behaviour of PHP
Strong experience in JavaScript and good to have working knowledge on any JS frameworks like Angular (Preferred) React, Python etc. - Understanding of MVC design patterns
Good understanding of front-end technologies JavaScript, jQuery, Angular, HTML, and CSS3
Knowledge of object-oriented PHP programming
Understanding accessibility and security compliance
Strong knowledge of the common PHP or web server exploits and their solutions
Understanding fundamental design principles behind a scalable application
User authentication and authorization between multiple systems, servers, and environments
Integration of multiple data sources and databases into one system
Familiarity with limitations of PHP as a platform and its workarounds
Creating database schemas that represent and support business processes
Proficient understanding of code versioning tools, such as Git
Basic knowledge of AWS and Shell command
About the Role:
We are hiring VP of aggregation to manage and expand large fleet of partnered ambulances. He must possess excellent organisation, time management and prioritisation skills. The individual should be good problem solver and able to smoothly handle multiple critical tasks and consistently deliver against hard deadlines.
Job Responsibilities:
-
Develop and execute strategy to onboard more ambulance vendors
-
Maintain good vendor relationships and timely billing
-
Standardise vehicle quality, conduct regular audits and tech integrations
- Work on issues faced by patients with partnered ambulances
The candidate should have:
- Three years of experience managing aggregation-model multi-city operations, ideally in fast-paced organisations.
- Strong attention to detail, history of delivering zero-defect output, and comfort with ambiguity in an ever-changing environment
- Ability to adapt with humility and resilience
- A passion for the mission of HelpNow








