Engineering Manager

Role & Responsibilities:

We are seeking an experienced Performance Marketing Manager to lead paid acquisition and growth initiatives across digital channels. This role owns strategy, budget, team execution, and ROI, working closely with leadership, sales, and product teams to drive predictable and scalable revenue.

Strategy & Growth Ownership:

• Define and execute the overall performance marketing strategy aligned with business and revenue goals
• Own acquisition targets, CAC, ROAS, CPL, and pipeline contribution
• Identify new growth channels, audience segments, and scaling opportunities

Paid Media Leadership:

• Lead and optimize high-budget campaigns across Google Ads, Meta, LinkedIn, YouTube, and programmatic platforms
• Oversee full-funnel campaigns (awareness → consideration → conversion → remarketing)
• Drive continuous experimentation through A/B testing and growth sprints

Team & Stakeholder Management:

• Manage and mentor performance marketers, media buyers, and agencies
• Collaborate with Sales, Design, Content, Product, and Tech teams
• Present performance insights and recommendations to leadership

Analytics, Attribution & Reporting:

• Own analytics setup including GA4, GTM, Pixels, CRM integrations
• Ensure accurate attribution, lead quality tracking, and funnel visibility
• Deliver weekly/monthly dashboards with insights, learnings, and forecasts

Conversion & Funnel Optimization:

• Improve landing page performance, lead quality, and conversion rates
• Partner with UX, content, and tech teams to enhance user journeys
• Align marketing outputs with sales conversion and closure metrics

Ideal Candidate:

• Strong performance marketer profile
• Must have 4+ years of experience in performance marketing
• Must have atleast 1+ years of experience in a managerial role
• Must have strong hands-on expertise in any of Google Ads, Meta Ads, LinkedIn Ads
• Must have proven experience managing large monthly ad budgets
• Must have an understanding of attribution models, funnels, and CRM-based tracking
• Must be proficient in advanced Excel/Google Sheets
• Product companies (Fintech, Startups preferred)

Job Title: Data Engineer

Location: Pune, India

Experience: 5 to 9 years

Job Description:

We are seeking a talented and experienced Data Engineer to join our team in Pune. The ideal candidate will have a strong background in data engineering with expertise in Python, AWS, Spark, and Scala. This role is critical to our data infrastructure, ensuring that our data pipelines are robust, efficient, and scalable.

Required Skills:

• Python: Advanced proficiency with extensive experience in building data pipelines.
• AWS: Hands-on experience with AWS services such as S3, Lambda, Redshift, Glue, and EMR.
• Spark: Proficient in using Apache Spark for large-scale data processing.
• Scala: Working knowledge of Scala for Spark programming.
• Strong understanding of data warehousing concepts and ETL processes.
• Experience with SQL and relational databases.
• Familiarity with data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

Job description

About Watch Your Health:

Watch Your Health is a leading digital health platform focused on preventive care, health engagement, and telehealth services. We empower individuals through personalized wellness plans, smart health tracking, and remote consultations.

Job Summary:

We are seeking a qualified and enthusiastic Dietician to join our Tele counselling team. You will provide remote nutrition guidance and lifestyle counselling to clients via calls, video sessions, and chat, helping them achieve their health goals through personalized diet plans, education, and motivation.

Key Responsibilities:

Conduct telephonic or video consultations with clients to assess dietary needs, medical history, and lifestyle factors.

Create and deliver personalized diet plans based on individual health goals (weight loss, diabetes, cholesterol, etc.).

Track progress, address queries, and follow up regularly to ensure adherence and motivation.

Educate clients on healthy eating habits, label reading, and long-term nutrition strategies.

Use Watch Your Health’s platform to document cases, track data, and engage users.

Collaborate with health coaches, doctors, and tech support for integrated care.

Participate in webinars, content creation, and digital campaigns as needed.

Requirements:

Bachelor’s or Master’s degree in Dietetics, Nutrition, Food Science, or a related field.

Registered Dietician (RD) or equivalent certification preferred.

Strong verbal communication skills in English and regional languages (e.g., Hindi, Marathi, etc.).

Basic understanding of chronic lifestyle diseases (e.g., diabetes, hypertension, obesity).

Comfortable using mobile apps, chat platforms, and tele health tools.

Friendly, empathetic, and goal-oriented approach to patient care.

Desirable Skills:

Prior experience in tele counselling or online diet consultation.

Familiarity with health monitoring devices and digital health tools.

Ability to explain complex health topics in simple, motivating language.

Time management and ability to handle multiple clients.

Job Description:

As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.

Responsibilities:

• Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
• Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
• Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
• Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
• Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.

Qualifications:

• BE Computer Science or a related field.
• ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
• Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Proficiency in DBT (Data Build Tool) for data transformation and modelling.
• Experience working with any Master Data Management (MDM) tools.
• Experience with data governance and metadata management tools such as Azure Purview or similar.
• Proficiency in programming languages such as Python, Scala, or Java.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Strong leadership skills with the ability to lead and mentor a team of engineers.

Your Day-to-Day Tasks Include: 

Ship product, independently and/or as part of a small team 

Collaborate with other engineers to build new features 

Debugging using dev consoles, firebug, firecookie, or any of your favorite tools. 

Help troubleshoot production issues and resolve critical customer facing issues Provide top-notch support to our customers 

You Should Have: 

A strong body of prior front end work, including significant projects written in JavaScript. Mastery of JavaScript; expertise in most of the following technologies, and proficiency in all of them: jQuery, CSS, HTML5, AJAX. 

Deep understanding of closures, prototypal inheritance, DOM manipulation, HTTP, web security, cross browser compatibility challenges. 

Strong Experience with NodeJS and Express JS. 

Hands-on with a code management system like GIT, SVN. 

Experience with NoSQL databases, preferably CouchDB or CouchBase. 

Good to have: Experience with ReactJS and Typescript. 

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.