Sales & Operations

Role & Responsibilities

Key responsibilities

1) Product vision & strategy

• Define and articulate the vertical product vision aligned to CIMET's business goals and growth roadmap.

• Own the product lifecycle from ideation and research to launch and post-release optimisation.

• Translate strategy into a focused quarterly bets plan with clear targets.

• Identify opportunities to enhance engagement, conversion, lead quality, and retention — including

through AI-driven personalisation, intelligent pre-filling, and LLM-powered recommendation surfaces.

2) Roadmap execution & agile delivery

• Manage and refine the product backlog, balancing strategic priorities, technical debt, and customer

needs.

• Partner with engineering to ensure crisp scope, acceptance criteria, rollout plans, and predictable

delivery.

• Lead agile ceremonies as needed: planning, stand-ups, reviews, retrospectives.

• Ship iteratively; ensure every release has success metrics and guardrails.

• Define and own the AI feature backlog for your vertical: where LLM integration adds genuine value to the

user journey, what the evaluation criteria are, and what fallback and failure handling looks like.

3) Metrics ownership & experimentation

• Own weekly reporting of funnel performance and drivers: what moved, why, and what we do next.

• Establish a steady cadence of experimentation — A/B tests, rollouts, UX improvements — with

measurable outcomes.

• Ensure measurement hygiene: instrumentation requirements are met and readouts happen on time.

• Define and track AI-specific product metrics: model-assisted conversion rate, AI feature adoption,

recommendation acceptance rate, and LLM output quality signals.

4) Stakeholder management & communication

• Act as the primary link between business leaders, tech teams, and external partners.

• Communicate roadmap, priorities, trade-offs, and performance insights to senior stakeholders.

• Partner across Australia, India, and the Philippines to maintain alignment on goals and delivery

milestones.

• Serve as the voice of the customer and ensure user-centric solutions are embedded in every release.

5) Partner ecosystem collaboration

• Work with Partnerships/Business Owners to shape partner onboarding priorities and improve partner

performance.

• Own product readiness and launch gating: data capture, routing behaviour, UX flows, monitoring.

• Drive partner feedback loops into the roadmap: acceptance/rejection reasons, SLA breakdowns, failure

modes.

6) AI-enabled product development

• Identify where LLM-powered features can meaningfully improve the consumer comparison journey: pre-

filling eligibility data, surfacing contextual recommendations, simplifying complex offer comparisons, or

reducing form friction.

• Write product requirements for AI features with the same rigour as any other feature: input/output

definition, confidence thresholds, fallback behaviour, human-in-loop requirements, and success metrics.

• Collaborate with the AI & Automation SPM and engineering to ship AI features that are production-

grade: instrumented, monitored, and with defined rollback criteria.

• Stay current on how LLM integration is being applied in consumer FinTech, insurance, and comparison

product UX - bring relevant patterns into your vertical proactively.

CIMET Senior Product Manager — Vertical Products

Confidential — For Recruiter Use Only

• Use AI tools actively in your own product practice: research synthesis, PRD drafting, experiment

hypothesis generation, competitive analysis, and data interpretation.

7) Innovation & growth

• Use data, market trends, and customer behaviour to uncover opportunities that increase adoption and

monetisation.

• Partner with UX/UI and Marketing to launch improvements that boost customer experience and

conversion.

• Benchmark performance against competitors and continuously evolve CIMET's comparison experience.

8) Quality & continuous improvement

• Ensure UAT readiness and validate outcomes before broad release.

• Monitor metrics: engagement, NPS where applicable, conversion, and lead quality.

• Collaborate with QA and DevOps to ensure stable, scalable releases and fast incident recovery.

• Maintain a feedback loop that translates insights into actionable roadmap items.

Ideal Candidate

• Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile
• Mandatory(Experience 1)- Must have 6+ years of product management experience with 1+ year of shipping LLM-powered features in consumer-facing product
• Mandatory(Experience 2)- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene.
• Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.
• Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).
• Mandatory(Product Writing & Agile Delivery)- Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools.
• Mandatory(Company)- B2C product in FinTech (InsurTech is highly preferred)
• Preferred(Skill)- Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.

About the Role

We are seeking motivated Data Engineering Interns to join our team remotely for a 3-month internship. This role is designed for students or recent graduates interested in working with data pipelines, ETL processes, and big data tools. You will gain practical experience in building scalable data solutions. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Assist in designing and building data pipelines for structured and unstructured data.
• Support ETL (Extract, Transform, Load) processes to prepare data for analytics.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Help optimize data workflows for performance and scalability.
• Collaborate with data scientists and analysts to ensure data quality and consistency.
• Document workflows, schemas, and technical processes.

Requirements

• Strong interest in data engineering, databases, and big data systems.
• Basic knowledge of SQL and relational database concepts.
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of ETL concepts and data pipelines.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Familiarity with big data frameworks (Hadoop, Spark, Kafka) is an advantage.
• Good problem-solving skills and ability to work independently in a remote setup.

What You’ll Gain

• Hands-on experience in data engineering and ETL pipelines.
• Exposure to real-world data workflows.
• Mentorship and guidance from experienced engineers.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

Role: AI/ ML Engineering

Experience: 3 to 5 yrs

Work location: Hyderabad

Interview mode: Virtual

Notice period: Immediate Joiner

Key Responsibilities:

·        Design and implement RAG pipelines and AI agentic systems using cutting-edge LLM frameworks.

·        Fine-tune open-source LLMs and develop narrow, domain-specific models.

·        Build and maintain ML pipelines using MLFlow and ensure reproducibility, auditability, and version control.

·        Collaborate with cross-functional teams to deploy ML systems into scalable, secure, and production-ready environments.

·        Containerize and serve models using Docker, Kubernetes, and FastAPI.

·        Automate CI/CD workflows using Azure DevOps, with integrated monitoring and alerts.

·        Integrate authentication and authorization flows using Azure AD and Microsoft Graph API.

·        Optimize deployed models for latency, cost-efficiency, and operational maintainability.

Required Skills & Experience:

·        Strong foundation in Computer Science, software architecture, and distributed systems.

·        Proficiency in Python, including both object-oriented and functional programming paradigms.

·        Hands-on experience with open-source LLMs, embedding models, and vector databases.

·        Practical implementation of RAG pipelines and LLM agentic systems.

·        Strong working knowledge of MLOps tooling (e.g., MLFlow), model versioning, and reproducible experiments.

·        Experience deploying ML systems using Docker, Kubernetes, and FastAPI or equivalent frameworks.

·        Proven experience working in Azure cloud ecosystem:

·        Azure DevOps for build/release automation.

·        Azure GraphAPI for accessing organizational data.

·        Secure identity flows using Azure AD.

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Job Overview :

We are looking for a skilled Node.js Developer to join our team. You will be responsible for developing and maintaining server-side applications, APIs, and services, ensuring high performance, scalability, and reliability.

Responsibility :

-Develop Backend Services: Build and maintain server-side applications using Node.js.

-API Integration: Develop and integrate RESTful APIs.

-Database Management: Work with databases (SQL/NoSQL) for efficient data storage and access.

-Optimize Performance: Ensure the application is optimized for speed and scalability.

-Debugging and Troubleshooting: Identify and resolve issues in the backend system.

-Collaboration: Work with front-end developers to ensure seamless integration between server-          side and client-side systems.

Education :

- Bachelor’s degree in Computer Science, Engineering, or a related field.

Ready to take the next step in your career? Submit your application today and become a part of our innovative team at Rayvat (Jenya) Outsourcing. We look forward to meeting you!

Experience with deploying applications on cloud infrastructure, preferably AWS

• Experience in using REST APIs with the front end

• Experience in handling webMap applications using leading webMap Javascript APIs like ReactJS Leaflet, Google Maps Javascript API and Geoserver management

• Experience with the Agile/Scrum development model

• Strong experience in code versioning using Git.

• Strong design, development, and implementation experience.

• Very good experience in React JS, React Leaflet and Redux

Roles & Responsibilities :

● Expertise in ON OFF Page SEO activities.

● Identifying and implementing strategies to increase website traffic through organic search listings without being blacklisted.

● Proven SEM experience managing PPC campaigns across Google and other Search Engines.

● Handling all aspects of SEO, SMO and different ways of link building ● Solid understanding of performance marketing, conversion, and online customer acquisition

● Technical Analysis and Audit of the website. Good knowledge of Google webmaster Analytics.

● Experience with A/B and multivariate experiments

● Knowledge of ranking factors and search engine algorithms

● Up-to-date with the latest trends and best practices in SEO and SEM ● Should have a good understanding of the digital environment and the opportunities for using social media.

Skills Required :

● Excellent communication and team player skills.

● Ability to handle international clients

● Ability to manage multiple projects and handle clients

Our client is a World’s #1 Co-Op and Collaborative Marketing Platform,looking for a Senior UX designer to join the Product Experience team assisting in research, design, and development of an innovative user-need based, engaging, and intuitive online SaaS platform. Work with real customers of the SaaS platform to better the design and advocate for users’ needs.

Key Attributes you'd need to possess:

• Problem Solver - Quick on your feet, some problems require creative solutions. Communicating those with peers and clients effectively, for presentations and walk through as well as support on client calls if needed.

• Team Player- Builds strong partnerships with product & engineering teams, and understands how to handle creative differences between teams and stakeholders to manage consistency at a brand level.

• User-Driven - Advocate for the user and get them the best experience driven by design. We believe in data, the numbers don’t lie! Using data to back design decisions get you extra points! 

• Business Acumen- Should be willing to learn and understand complex business challenges, and formulate solutions to solve the problems effectively. Someone who makes intelligent decisions - work effectively, plan better, and formulate solutions that can deliver returns.

Typical work week look like:

• Research- Conducting user research, client interviews, and usability testing to understand user needs; studying data patterns that highlight these using prospecting tools for performing Client-need Analysis, track their pain-points to develop a reach-out strategy.

• Ideation and Brainstorming- Brainstorming and designing new features for our SaaS platform based on research, tech requirements, and feature requests. Lots of white-boarding, paper scribbles, and ideas!

• Dev Support- Communicating with web developers, including providing input on any needed digital enhancements

• Manage the Brand Guidelines and Visuals- Designing and managing the information architecture for the marketing website and product, drafting information flows and designing wireframes, mockups and prototypes. Branding and Illustrations for OnlineSales.ai and its marketing website or any events the company will be showcased in.

Our ideal candidate should have:

• 4+ years of work experience in designing digital products or experiences

• Relevant Degree/Diploma or experience/certification in Product or Experience design

• Great understanding of user-centric design, responsive design and designing for web

• Good communication skills

• Software skills - Adobe CC or similar. Any tool you are comfortable with to design and prototype.

• Any experience in digital marketing is a plus.

• Good to have knowledge of CSS, HTML - we work hand in hand with developers.
  
  Thanks
  Anamika

• Defining, planning, communicating and owning the business and scaling it PAN India
• Owning multiple channels of sales and be responsible for holding the growth for channels independently
• Managing the Supply side eco-system and partners/vendors to drive efficiencies
• Managing teams across band, grades and geographies
• Understanding and measuring the success metrics directly inclined towards your vertical and aligning them as per the business needs
• Analyzing the key metrics being tracked in the business and creating a plan to iterate and optimize for the future
• Building Tech Stack from business perspective with the Marketing and Product Teams

Desired Candidate Profile

• Master's / Bachelor's degree, MBA will be bonus
• Tier 1 college graduates only
• 3+ years of hands-on experience in P&L Management and proven track record of managing all aspects of a successful business line throughout its lifecycle
• B2C and B2B2C experience specifically building Teams, scale and distribution is a bonus
• Entrepreneurial mindset
• Ability to communicate effectively and efficiently within the Team and across teams and departments
• A first principle thinking approach in problem solving
• Ability to build from scratch and the vision to scale it
• Empathy towards the customer and the ability to understand their problems
• An Agile mindset
• Ability to understand and analyze industry/market/competition and internal business strategy
• Ability to use data to drive decision making
• Prior experience in building P&L for ancillary business is a plus

Mandate Skills:- Appium, Java

Responsibilities:

• Should have hands on experience Java have flexibility to learn new programming languages, tools & can build PoC around them
• Should have hands on experience on Functional Testing (UI, Mobile, API), Regression Testing, Testing Web Services/API (Postman/Swagger/YAML)
• Experience on load testing/performance testing is good to have
• Should have hands on experience with API testing tools like ReadyAPI, SOAPUI, JMeter, Blaze meter etc.
• Should have hands on knowledge in writing PL/SQL's to collect and verify test data and should have worked on relational databases.
• Must have knowledge on setting up test automation pipeline in CI/CD tools like Jenkins, Teamcity, and Azure DevOps etc.

Desired profile:

• Should have excellent communication skills and should be able to handle communications independently and confidently with business and development teams.
• Should have good documentation skills & experience in defining and publishing key quality metrics and governance around it.
• Experience with Test Management tools like Atlassian JIRA, TestRail will be a plus.
• Experience working in Agile software development

Key Skills

• Java, C#, JavaScript & have flexibility to learn new programming languages
• Designing Proof-of-Concepts (PoC) & Test automation architecture/framework
• Automation Testing (UI, Mobile, API, dB)
• PL/SQL , MS-SQL Server
• API testing tools like RestAssured, RestSharp, ReadyAPI, SOAPUI, JMeter, Blaze meter etc.
• CI/CD tools like Jenkins, Teamcity, and Azure DevOps etc.
• Open Source tools - Appium.