Associate Program Manager

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL,

Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks,marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a

company.

Job Role: Social Media Account Manager

Experience Level: 2+ years in Agency set-up

Location: Bangalore, On-site

Job Overview:

We are seeking an experienced and strategic-minded Social Media Account Manager for our client-based social media team. This role requires a dynamic individual who can execute effective social media campaigns giving great results that meet with client’s objectives, foster a cohesive team environment, and cultivate strong client relationships. The ideal candidate should possess a deep understanding of social media dynamics, a proven track record in team leadership, and exceptional communication skills.

Job Description:

● Create campaign strategies and monitor the execution to achieve the brand objectives.

● Manage social handles of the brand, like Instagram, Facebook, LinkedIn, X etc.

● Develop, implement and manage a brand's social media strategy on a monthly basis.

● In-depth knowledge of social media marketing, market trends, integration of online with offline marketing and reporting.

● Measure the success of every social media campaign, as per required metrics.

● Work with copywriters and designers to ensure content is well-suited and appealing to the defined target group for respective brands.

● Communicate with industry professionals and 3rd party vendors if and when required.

● Provide constructive feedback to the team(copy & design) to achieve desired results.

Requirements:

● Bachelor's degree in Marketing, Communications, or a related field (Master's degree preferred).

● 2+ years of proven experience in social media management within a client-based agency or related environment.

● Demonstrated success in devising and executing impactful social media strategies for a variety of clients.

● Excellent written and verbal communication skills, capable of conveying ideas clearly to both internal teams and clients.

● Profound understanding of social media platforms, algorithms, content formats, and best practices.

● Proven track record of generating exceptional results via integrated marketing strategies (online + offline).

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

What We Expect:

• Min 3 years of mobile development experience, with Flutter & Dart.
• Proven ability to build and scale real-time, high-performance fintech applications.
• A sharp eye for stunning UI/UX design that balances aesthetics with seamless functionality.
• Mastery over state management solutions (Provider, Riverpod, BLoC, or similar).
• Hands-on experience with real-time data streaming, push notifications, and WebSockets.
• Strong expertise in security, encryption, and compliance—you know fintech demands precision.
• A track record of integrating RESTful APIs, GraphQL, and third-party services into flawless mobile apps.
• A mindset that thrives under pressure—we work fast, and we expect results.
• Lead the development of world-class fintech mobile applications that redefine user expectations.
• Architect and optimize blazing-fast, low-latency Flutter applications for financial markets.
• Work with designers, backend engineers, and product teams to craft seamless, intuitive, and ultra secure user experiences.
• Solve hard problems at scale—whether it’s optimizing performance, reducing load times, or ensuring absolute security.
• Push the boundaries of mobile fintech innovation, from AI-powered insights to predictive analytics.
• Own your work end-to-end—no excuses, no hand-holding, just results.

Must-Have Skills:

• Min 3 years of mobile development experience, with 2+ years in Flutter & Dart.
• Proven ability to build and scale real-time, high-performance fintech applications.
• A sharp eye for stunning UI/UX design that balances aesthetics with seamless functionality.
• Mastery over state management solutions (Provider, Riverpod, BLoC, or similar).
• Hands-on experience with real-time data streaming, push notifications, and WebSockets.

Why Join Us?

• Work with some of the sharpest minds in fintech and mobile engineering.
• Build products that traders, investors, and financial professionals rely on daily.
• A culture that values bold innovation, fast execution, and pushing boundaries.
• Expect challenges, high expectations, and relentless pursuit of excellence.
• Take complete ownership—from ideation to deployment, every pixel and every line of code should scream excellence.
• Competitive compensation, performance-driven growth, and a real opportunity to lead and shape the future of fintech mobile applications.

• An Engineering/Master’s Degree from a reputed institute
• 5+ year of experience in the B2B/SaaS/Enterprise domain. Great to have someone from the “Conversational AI” space
• Ability to engage and influence key stakeholders in accounts; Effective in performing technical/functional activities required during pre-sales stage
• Experience in Solution/Concept selling (CRM/ ERP/ Enterprise/ Contact Centers/ SaaS/ CPaaS Solutions) is a must
• Should be comfortable in understanding and explaining technology and solutions with a consultative approach
• Should have the ability to work independently and as part of a team
• Strong problem-solving and decision-making skills
• Strong problem-solving and decision-making skills
• Candidates from Edtech/HR Tech companies will not be considered
• Candidates with more than 2 job changes in the last 3 years will not be considered

• Figma, Adobe XD, Illustrator, Lottie
• UI/UX Design (web + mobile)
• Wireframing, Prototyping, and Responsive Design
• Visual Design Systems (Typography, Grid, Components)
• Knowledge of Conversion Rate Optimization (CRO)
• Experience with Shopify or Webflow (preferred)
• Familiarity with GA4, Hotjar, or analytics tools
• Strong understanding of D2C/eCommerce design

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Job Description:

• Meeting with corporate /institutional customers and assessing their insurance requirements, capture key demographics and present them with viable proposals.

• Network and engage with CFO/HR heads and other key decision-makers in the company

• Develop, maintain and retain excellent relationship with clients.

• Achieve revenue targets

• Ensure client Acquisition and help in increasing the revenue for the company with new business and cross sell opportunities

• Prepare client Road Map for the Upcoming corporate Renewal in the General Insurance Business

• Interacting with client to gather the required set of information to offer best insurance program to corporate

• Understanding the business process of the client and suggesting the proper insurance policies along with value added cover

• Handling corporate client in direct channel /Agency channel for General Insurance.

• Report daily MIS and tracking of targets & personal meeting with clients. He/she shall keep up breast of the latest developments & report to the Products/

• Quotes team of the upcoming client requirements to innovate the

product/service mix

• Ensure end-to end single point service for the customer, to win and maintain his trust

• Maintain effective documentation of the leads generated and customers acquired/ serviced and share MIS To regularly enter data in the software for capturing leads, customer contacted, servicing done, etc.

• Maintain MIS on key performance indicators

Requirements and skills

• Relevant Experience in SME insurance product
• Strong track record in direct/agency channel sales
• Excellent interpersonal & negotiation skills
• Sense of ownership and pride in your performance and its impact on company’s success
• Critical thinker and problem-solving skills
• Team player and good me-management skills
• Hold minimum of 2 to 4 year of experience in B2B Sales preferably from Insurance Industry.
• Graduate in any stream

Key Responsibilities:

• Minimum of 7+ years of experience in IT sales.
• Develop and execute sales strategies to generate new business opportunities and expand client base within the US staffing market.
• Identify and target potential clients through proactive prospecting, networking, and cold-calling efforts.
• Build and nurture strong relationships with key decision-makers and stakeholders at client organizations.
• Understand client staffing needs, requirements, and challenges to provide tailored workforce solutions.
• Collaborate with internal recruitment teams to align staffing solutions with client demands and expectations.
• Prepare and deliver compelling sales presentations, proposals, and pitches to prospective clients.
• Negotiate contract terms, pricing, and service agreements to ensure mutually beneficial outcomes.
• Monitor market trends, competitor activities, and industry developments to identify opportunities for growth and differentiation.
• Maintain accurate and up-to-date records of sales activities, client interactions, and revenue forecasts using CRM systems.
• Meet or exceed sales targets, quotas, and KPIs established by the company.

Qualifications:

• Bachelor's degree in Business Administration, Sales, Marketing, or related field.
• Proven track record of success in B2B sales, preferably within the US staffing or recruitment industry.
• Strong understanding of the US staffing market, including industry trends, client needs, and competitor landscape.
• Excellent communication, negotiation, and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced, target-driven environment.
• Proficiency in CRM software and Microsoft Office suite.
• Willingness to travel as needed.