UI/UX Design Intern

About the Company:

SaveIN is a Y-Combinator-backed, fast-growing healthcare technology company revolutionizing healthcare access in India. Based in Gurugram, we are proudly backed by YC and top investors from the US and Europe. Our innovative products span healthcare aggregation, payments, finance, and SaaS, making healthcare more accessible and affordable.

About the Role:

As a Sales Lead at SaveIN, you will drive the go-to-market strategy, build and scale a high-performing sales team, and optimize the sales funnel for our SaaS offering. From lead generation to conversion, you’ll own sales execution, CRM implementation, and revenue growth.

You’ll work cross-functionally to enhance product marketing, customer success, and overall P&L. If you thrive in fast-paced environments and have a proven track record in B2B SaaS sales, we’d love to have you onboard!

Department: Sales

Employment Type: Full Time/ Work from office

Required Experience: 6-8 yrs

Reporting: Founder & CEO

Key Responsibilities:

·       Work with the growth marketing team and ICP to launch and scale the SaaS offering.

·       Implement and manage CRM tools to monitor performance metrics and sales activities.

·       Create and manage lead generation funnel through inbound and outbound channels

·       Set up inside sales unit and recruit, train and grow an efficient team of SDRs, AEs and CSMs.

·       Ensure seamless sales operations, including lead tracking, forecasting, and reporting.

·       Achieve continuous improvement on MQL to conversions and retention.

·       Stay updated on industry trends, competitive landscape, and emerging customer needs.

·       Lead negotiations to close high-value deals and manage contracts effectively.

·       Collaborate to influence customer success and drive product adoption.

Requirements:

·       Proven experience of 6-8 years in B2B SaaS inside sales preferably in healthcare/employer/insurance SaaS

·       Deep understanding of the B2B SaaS market and customer acquisition strategies.

·       Expertise in using CRM tools (e.g. Zoho, HubSpot, Apollo.io) and data-driven decision-making.

·       Proven track record of driving customer acquisition and growth for early-stage companies.

·       Excellent communication, leadership, negotiation and team management skills.

·       Master’s degree in business/analytics is preferred

Why Join Us?

·       We are growing fast and making an impact

·       Flexible and transparent work culture

·       Fair rewards and ESOPs

Profile:

·      Head the product management for the 3rd party products including Smallcase, Mutual Funds, IPO, Insurance, Loan, Credit cards, Bank accounts, Gold, Bonds, etc.

·      Lead a team of 7-10 Product Managers

·      Responsible for revenue, market share, vol. of these products from 3 channels – online platforms, digital marketing, offline channels

·      Own process and product development for these products

·      Continuous competition tracking

·      Training the various channels on products

·      Coordinating with various teams to ensure timely completion of dependent activities

·      Responsible for timely responding and resolving client queries / complaints

·      Preparing volume/revenue/usage data reports

·      Work closely with; & manage expectations of; multiple stakeholders like Business, Marketing, Compliance, Risk, Design, Technology, Program, and External vendors

·      Single handedly take couple of product features from vision to launch stage

·      Preparing short-term and long-term roadmaps of the products/features

·      Define KPIs and set up benchmarks, to measure the performance of the product

·      The candidate should have an analytical mindset who should be able to use data at ease – in finding hidden patterns and for understanding user behavior

·      We are looking for someone who has deep empathy for the end customer

·      Our candidate is the one who is extremely passionate about making his product a market success – a growth hacking mentality is what we are looking for

·      The candidate should have hands-on experience in owning the complete product cycle – having taken multiple products from ideation to launch stage

·      Past experience in industries like Fin-tech, AI/ML, Health-tech, Food-tech, Content-tech, Edu-tech, Gaming-tech, Social-tech etc. is an add-on but not at all mandatory

Qualification:

·      Min. 3 years of product management experience in owning/growing 3rd party products

·      Awesome communication and relationship building skill

·      Able to solve complex problems in an structured manner

Reporting to: Product Head                                                                           Location: Mumbai

About the role:

You will own a functional area - from product conception to its delivery to customers. You are expected to design and code independently in multiple tech components related to your functional area. You must also develop a deep understanding of non-functional requirements, such as reliability and availability, scale, horizontal scalability, etc. over time to make tech stack decisions accordingly. You are expected to actively mentor junior engineers. You own

the codebase quality.

We are looking for seasoned engineers who are quality-conscious, product thinkers, business cognizant and smart. Engineers get to significantly amplify the impact of their work or creations with scale. The scale also demands that engineers to produce super-efficient solutions.

What you’ll do

• Strong experience with Java 8, Spring and Spring Boot, Spring MVC, Spring Data,
• Working experience in Microservices
• Version Control: Git
• Strong understanding of functional/reactive programming, OOP, design
• Experience with Docker and Kubernetes.
• SDLC: Working experience in Agile methodology
• Strong interpersonal skills and time management skills

What you’ll need

• B.Tech or M.Tech equivalent with at least 3 years of experience
• Deep expertise in at least one programming language & tech stack.
• Strong object-oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive module and class-level interfaces
• Experience in building data-driven web application design and development is a plus
• Good understanding of multiple tech solutions and ability to pick the correct one for the given situation
• Prior work experience in an agile environment or continuous integration and continuous delivery (CI or CD)
• Ability and experience in designing high-level software designs of the scalable system, taking NFR (non-functional requirement) into consideration

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

• We are looking for a Data Engineer to build the next-generation mobile applications for our world-class fintech product.
• The candidate will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross-functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data systems and building them from the ground up.
• Looking for a person with a strong ability to analyse and provide valuable insights to the product and business team to solve daily business problems.
• You should be able to work in a high-volume environment, have outstanding planning and organisational skills.

Qualifications for Data Engineer

• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimising ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Looking for a candidate with 2-3 years of experience in a Data Engineer role, who is a CS graduate or has an equivalent experience.

What we're looking for?

• Experience with big data tools: Hadoop, Spark, Kafka and other alternate tools.
• Experience with relational SQL and NoSQL databases, including MySql/Postgres and Mongodb.
• Experience with data pipeline and workflow management tools: Luigi, Airflow.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming.
• Experience with object-oriented/object function scripting languages: Python, Java, Scala.