Salesforce CPQ Architect

Role & Responsibilities

Lead and deliver designs that are innovative and sophisticated, buildable and scalable, and thoroughly documented.

Be responsible for delivering on our vision and strategy for customers and support the app team in shaping ACKOʼs

roadmap for D2C ensuring design tasks are prioritised in line with the agreed product goals and metrics.

Drive design tasks aligned with our product goals and metrics by collaborating closely with strategy, product, and business teams.

Take ownership of the entire user journey, from ideation and prototyping to user testing and final production, ensuring timely delivery.

Utilise data insights, including metrics and usability studies, to inform and refine design decisions.

Demonstrate a strong understanding of design patterns, best practices, and standards for both iOS and Android platforms.

Effectively communicating and collaborating with engineering teams to ensure seamless implementation of designs

About the Company:

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement without fragmented tools or increased headcount.

About the Role:

MyOperator is looking for a motivated and customer-focused Customer Support Executive to join our dynamic team. This internship offers hands-on experience in handling customer queries, managing support tickets, and gaining exposure to the workings of a fast-growing SaaS company.

Key Responsibilities:

• Respond to customer queries via calls, emails, and support tickets.
• Assist in resolving issues related to panel access, call reports, and login problems.
• Update ticket statuses and maintain accurate customer records using Zoho Desk.
• Collaborate with the support team to escalate complex issues to relevant departments.
• Assist in creating and maintaining FAQs and troubleshooting documentation.

Requirements:

• Good communication skills in English(spoken and written).
• Basic computer proficiency and willingness to learn support tools and CRM systems.
• Strong interest in SaaS, tech support, or customer-facing roles.
• Availability for a full-time (Monday to Saturday, rotational shifts).

What You’ll Gain:

• Practical exposure to customer success and support operations in a SaaS environment.
• Opportunity to work with experienced professionals and learn industry best practices

Senior Paid Media Executive (DM Team)

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: Senior Paid Media Executive

Experience Level: 2.5+ Years

Location: Bangalore, Karnataka (On-site).

Responsibilities:

● Budget Handled on Google AdWords, Facebook Ads, Instagram Ads.

● Proven track results of Ad creation, execution and monitoring.

● Well aware of Meta ads, Instagram Ads, Google Ads, LinkedIn Ads, Facebook business manager.

● Create and manage content marketing strategies.

● Forecast marketing campaign growth and ROI for marketing campaigns

● Keep abreast of new social media sites, web technologies, and digital marketing trends; implement these new technologies in developing campaigns and update current campaigns to include new information.

● Drive traffic, generate leads to company pages.

● Adhering closely to deadlines & to budget, developing and revising ideas, and implementing projects.

We are seeking a seasoned Engineering Lead with deep expertise in workflow orchestration systems, stateful execution engines, and distributed task runtimes. You will architect the next generation of our DAG-based runtime, develop the infrastructure for agentic workflow composition, and drive execution excellence across engineering. This role combines hands-on systems design with technical leadership and team mentorship.

Key Responsibilities

1. Architect & Build the Swarm Runtime

• Design and implement a DAG-based orchestration engine using Temporal, Argo Workflows, or equivalent event-driven runtimes.
• Build a scalable primitive registry for tasks, operators, guards, and computational nodes.
• Architect a robust scheduler capable of handling event triggers, retries, backoffs, and distributed coordination.

2. Develop the Workflow Composition Layer

• Define and build a YAML/JSON-based DSL for describing agentic workflows, dependencies, and execution semantics.
• Create a schema-driven rules engine ensuring validations, model calls, parallelism, conditional branching, and approval gates are seamlessly integrated.

3. Orchestration Logic & Runtime Intelligence

• Implement orchestration logic that coordinates:
• Validation layers
• Model calls (LLMs, embedding engines, external APIs)
• Human-in-the-loop approval gates
• Stateful transitions and checkpointing
• Ensure deterministic execution, traceability, and safe rollback mechanisms.

4. Workflow Certification & Automated Testing

• Define certification standards for every workflow type, including:
• Functional correctness
• Latency and concurrency thresholds
• Error-handling expectations
• Observability and trace coverage
• Build automated regression test suites validating workflow integrity before deployment.

5. Engineering Leadership & Delivery

• Lead, mentor, and grow a team of backend and systems engineers.
• Drive sprint planning, reviews, engineering discipline, and roadmap execution.
• Own runtime delivery deadlines, cross-team coordination, and release quality.

6. Observability, Reliability & Production Excellence

• Instrument the runtime with observability hooks: metrics, tracing, structured logs, and execution heatmaps.
• Build robust retry logic, distributed locks, idempotency guards, and failover strategies.
• Improve runtime stability, throughput, and scale characteristics.

Requirements

Must-Have

• 8+ years of backend engineering experience building high-scale systems.
• 3+ years leading teams focused on workflows, automation, orchestration, or distributed runtimes.
• Deep understanding of:
• Stateful orchestration engines (Temporal, Step Functions, Argo, Airflow)
• Message queues, pub/sub systems, and event-driven patterns
• Retry logic, compensating transactions, and idempotent operations
• Distributed tracing, observability pipelines, and health checks
• Strong background in concurrent programming, async task management, and execution models.
• Hands-on experience with at least one systems language or backend stack (Python, Go, Rust, Node).

Nice-to-Have

• Experience building workflow DSLs or schema-driven interpreters.
• Familiarity with LLM pipelines, agentic runtimes, or AI-driven workflow automation.
• Knowledge of Kubernetes-based runtime environments and workflow controllers.
• Experience with pluggable architecture design, sandboxing, or execution policies.

What This Role Offers

• Ownership of the core execution engine powering Perceive Now’s intelligent automation platform.
• A high-impact leadership position shaping architectural strategy and engineering culture.
• The opportunity to solve cutting-edge problems at the intersection of orchestration, distributed systems, and AI.

Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

1. Convert leads to business with lead generation, customer interaction, and persuasive skills.

2. Communicate with various target groups, understanding their needs, maintaining relationships

3. Set up and conduct business collaboration meetings with companies and our suppliers.

4. Identify new avenues of growth, suggesting and building campaigns which can benefit the overall performance of the sales department.

5. Identify sales leads, pitch services to new clients, and maintain a good working relationship with them.

6. Work with the internal product and management teams to increase sales opportunities for the organization.

7. Onboard new clients on our application.

Whizminds Innologix Private Limited is looking for a talented PHP Web Developer with experience of 1-7 years of experience in the field. Please don't Apply if you are Fresher.

• Technical expertise in PHP, Javascript, Jquery, Ajax should be very creative with coding and can apply various patterns of solving the problems.
• Working knowledge of Bootstrap and Excellent skills in PHP CORE, CAKE PHP
• Knowledge and expereince of MVC and CMS like Wordpress, Opencart, Magento Laravel, Codeigniter.
• Should comfortable to work on the development plugins, components, and modules
• Knowledge of web services.
• Design, develop, test, maintain and support high performance, innovative web-based applications.
• Write quality source code to be delivered on time, which meets defined project standards and deadlines.
• Perform maintenance on the source code, analyzing and fixing bugs where necessary.
• Periodically design and implement custom enhancements as per customer requirements.
• Should be comfortable to work on WordPress Laravel and codeigniter Framework and Mobile App Web services.
• Basic knowledge of Amazon Web Services and Docker.
• Good Communication Skills.
• Ability to work in a team.