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Chief Technology & Product Officer (CTPO)
Company: Miror Therapeutics Private Limited (miror.in)
Location: Bangalore
Type: Full-time
About Miror
Miror is building India's largest 360° care network for women - supporting them through menstruation, perimenopause, menopause, and beyond. We bring together a thriving community of 75,000+ women, 100+ doctors across gynaecology, oncology, urology and sexual health, nutrition and mental health, India's first dedicated HRT Centre of Excellence, a personalized care app, expertly formulated supplements, and a women's wellness rewards program.
We're bootstrapped and revenue-generating, with real users and real impact. We're now looking for a technology and product leader to deepen our digital platform and scale the experience to millions more women.
The role
As Chief Technology & Product Officer, you'll own both the engineering and product functions at Miror. This is a combined role by design: we need one leader who holds the technical architecture and the product vision together, keeps them tightly aligned, and ships. You'll set technical direction, own the product roadmap across our app and digital platform, and build the team that delivers - all while honoring the trust women place in us with sensitive, deeply personal health journeys.
Because we're bootstrapped, this is a role for someone who values capital efficiency, durable margins, and building things that last.
What you'll own
Product
- Define and own the product vision and roadmap in partnership with the CEO
- Translate deep understanding of women's health - menstruation through menopause - into product that earns daily trust
- Own the full product lifecycle across the app, community, teleconsultation/appointments, HRT programs, commerce (shop and supplements), and rewards
- Establish how the team prioritizes, measures, and learns from users
Technology
- Own the technical architecture of the Miror app and digital platform
- Lead engineering execution: quality, velocity, reliability, and security
- Make pragmatic build-vs-buy and platform decisions that keep us lean and fast
- Own data architecture with privacy and protection of sensitive health data as a first principle
Leadership
- Build, lead, and mentor the combined product and engineering team
- Set the engineering and product culture for the company
- Be a credible internal and external voice for the platform
Must-haves
- Demonstrated experience in femtech or digital health - you understand women's health, the sensitivity of the data involved, and what it takes to earn and keep user trust in this space
- Track record of owning both product and engineering at a senior level (VP+ or prior CTO/CPO/CTPO)
- Strong software and app development background; comfortable being hands-on architecturally
- Experience handling sensitive health data and the regulatory/privacy landscape around it (India's DPDP Act, plus relevant global standards like HIPAA/GDPR; awareness of telemedicine and digital-health regulatory considerations)
- Ability to lead a lean team and make capital-efficient decisions in a bootstrapped environment
- Proven ability to hire, grow, and retain product and engineering talent
Nice-to-haves
- Experience scaling a consumer health or community-driven product post-PMF without external funding
- Experience with teleconsultation, e-commerce/D2C, or marketplace-style products
- Comfort with our stack: [e.g. Python backend, Flutter app] - or strong reasons to evolve it
Why join
- Real revenue, real users, and a community of 75,000+ women who already trust us
- A genuine seat at the table: you'll shape the company, not just execute someone else's plan
- A mission that matters: transforming how India cares for women's midlife and lifelong health
Connect with me on my LinkedIn
About the organization:
Bhanzu is a Math EdTech company which has recently raised a Series B round led by Epiq Capital with participation from Z3 partners and existing investors and is rapidly scaling across geographies with online live classes and games.
About the Founder & CEO - Neelakantha Bhanu
Neelakantha Bhanu Prakash is the world's fastest human calculator and India’s mental math Olympic Gold Medalist. Alongside holding four world records and 50 Limca book records, Mr. Bhanu is also a TEDx speaker and educator. He believes that the skill he has been gifted with can be passed on and taught using the right methodology and initiates in the same direction. Giving his vision of completely eradicating Math phobia a head start, Mr. Bhanu has led numerous projects for developing Arithmetic skills in students across the globe.
He has addressed audiences across 23 countries at the Commonwealth Conclaves, Future city Summits, ISB, IITs, and Multiple other global institutions and meets about the importance of Arithmetic learning in the overall development of a child.
Website:- https://www.bhanzu.com/
Role: Marketing Intern (WFO)
Location: Bangalore, HSR Layout.
Key Responsibilities:
- Collect, organize, and maintain data for marketing activities.
- Ensure accuracy and timely updates of information and projects
- Conduct market research and competitor analysis.
- Provide insights and recommendations based on findings.
- Assist in preparing detailed reports for ongoing activities.
Requirements:
- Currently pursuing or recently completed a degree in Marketing, Business, or related fields.
- Strong organizational and multitasking skills.
- Proficiency in MS Office/Google Workspace.
- Analytical mindset with attention to detail.
- Excellent communication and interpersonal skills.
Note: A Pre-Placement Offer (PPO) will be provided based on performance.
Responsibilities:
What are we looking for:
-
● 2+ years working across the domain as an analyst in a Tech company or in fintech startup
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● Expertise working with large data sets and prior working knowledge of Excel, R, QlikView, MySQL, Python etc
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● Excellent communication and organization skills. Can work freely with everyone from an associate to senior leadership
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● Sound understanding of levers affecting an organisation's topline and bottomline and how they could be linked to the product.
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● Ability to predict the 3rd and 4th degree metrics movements.
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● Strong attention to detail and ability to handle multiple activities simultaneously
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● Ability to think strategically and implement with excellence
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● A growth mindset and passionate about building things from the ground up and
most importantly, you should be fun to work with
As a business analyst, you will:
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● Translate requirements and mock-ups into fully functional and technical features by working closely with Platform technical leads and Architects.
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● Facilitate requirements gathering and process mapping workshops
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● Experience performing detailed gap analysis, and preparing as-is & to-be
process documentation
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● Understand client flows and integrate it with the current product offering
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● Analyze large amounts of data and derive actionable insights
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● Come up with new ideas to improve monetization post data analysis
Why join us?
-
- You will get to work with an experienced team who has worked in multiple startups.
-
- Experimenting is the name of the game
-
- Grow with us. It is a family
-

India’s only B2B Construction Materials Supply Chain Company
Construction & Infrastructure is one of the industries, with the most complex problems in Supply Chain and they are fundamentally reengineering the way construction materials get procured. Their Clients include the biggest names in India & the World– The
LafargeHolcim Group, JSW Group, The Tatas and many others. They are backed by some of the world’s top marquee funds in their journey to create transparency and standardization to an otherwise opaque industry.
Your responsibilities:
● Understand the business context and build high quality code using proven design patterns
● Develop, test and deploy integrations required to meet business requirements
● Carry out unit tests and other quality control mechanisms to inform and validate the code and design
● Utilizing and monitoring cloud infrastructure resources (such as AWS, Azure) efficiently
● Participate in a highly fluid environment applying agile software development principles
● Ensure the coding standards are on-par with the best in the industry
Educational Qualifications:
● Bachelor's or Master’s degree in a quantitative field (e.g. Mathematics, Engineering, Computer Science).
Must have skills:
● 3+ years of work experience with mobile/web development
● Experience in working with either of languages: Go, Java, Scala
● Strong understanding of relational and non-relational databases (MySQL, PostgreSQL, MongoDB,
● Cassandra)
● Strong understanding of Message brokers
● Must have hands on experience in Restful APIs
● Must have a strong foundation of Data structures and Algorithms
● Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions
● or approaches to problems
● Ability to deploy features on a daily basis: should be good at time management and prioritization
● Hands-on experience in CI/CD principles and TDD
● Strong written and verbal English communication skills
Good to have skills:
● Experience in event-driven & asynchronous I/O frameworks
● Exposure to business process and workflow automation
● Working experience in process driven and data intensive business applications
● Experience in working on web infrastructure with React.js and React Native
Professional traits:
● Self-motivated, persistent and “Never Give Up” attitude
● Passion for innovation and adaptability to a lean startup culture
● Ability to work with minimal supervision, independently and / or as a member of a team
Mandatory skills:
- Programming skills in Python, Robot framework, Selenium, Shell scripting
- Experience on L2/L3 protocols of VLAN/DHCP/LACP/IGMP/PPPoE.
- Should be familiar with device configuration protocols of CLI/NETCONF/SNMP.
- Experience in telecom technologies like DSLAM/GPON/G.fast/Next gen broadband technologies is highly recommended
- Knowledge on regression/performance/load/scale/stability test areas
- Hands on experience with Common industry equipment like Spirent test center/ixia/Abacus/Shenick(TeraVM)/N2X Traffic generators.
- Exposure to debug tools such as Wireshark/tcpdump.
Job Requirements:
- Knowledge on software Test cycle, test plan and test case creation
- Understanding of End to end test setup topology and debugging.
- Ability to perform System level Functional and Non-functional tests.
- Familiar with Manual test life cycle
- Designing and writing test automation scripts using automation frameworks
- Exposure to CI/CD pipe line implementation and maintenance using Jenkins, Groovy scripting
- Linux skills (system configuration and administration, containers, networking experience and d) such as sockets and database management
- Good debugging skills and knowledge on various debug tools
- Bug reporting/tracking and providing logs.
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Location: Kaikondrahalli, Bangalore
Position Type : Fulltime
Employee Value Proposition:
1. Employee health insurance of Rs 1 lakh per year. Premium is paid by the company.
2. Employees get free lunch and snacks.
3. Monthly reward and recognition to outstanding performers.
4. Employees get promotion every 6 months basis performance
5. Outstanding performers can qualify for promotion every quarter.
6. Employee can get promoted up to 4 times in a year. Every promotion results in change of designation and increase of salary .
7. Accelerated career growth of employees and one can become UH in another 3 months time)
8. Regular team parties and Annual Day outing for all employees.
Qualification / Education and other Requirements:
1. Education- Any Post Graduate (MBA,PGDM ,M.Te ch/M.COM/M.A etc with 0-1 yrexp.)
2. Excellent verbal and written communication.
3. Good Interpersonal skills, numerical and analytical ability.
4. Decision making skills.
5. Language required: English & Hindi (mandatory), Kannada/Tamil/Marathi/Telugu (optional)
6. Proficient in MS-Office (Excel, Word).
7. Should be flexible for day shift- (9-hour of login between 8 AM - 10 PM).
8. Comfortable with working 6 days a week and the week off will be on weekday.
**Laptop with webcam and good speed Internet connection is a must**
About the company http://nobroker.com/" target="_blank">NoBroker.com is world's largest C2C marketplace in online real estate. With cumulative 85 lakh customers, it has grown 10X in last one year. With three rounds of funding of $151 mn, it is well funded by key US, Indian, Japanese & Korean investors like General Atlantic,Tiger Global SAIF Partners, KTB ventures and BeeNext. It is headquartered in Bangalore with a team of 4000+ employees.
Role and Responsibility – Sales Executive
1. Identifies business opportunities by identifying prospects.
2. Sells products by establishing contact and developing relationships with prospects recommending solutions.
3. Outbound calling on data collected through lead generation activities / secondary data sources.
4. Daily follow-ups on older leads and work on new leads.
5. Maintains quality service by establishing and enforcing organization standards.
6. Must be energetic, well-spoken, and eager to close sales deals and generate revenue for the organization.
About Training- Training will be provided for initial few days for an employee to understand end to end process.
- Developing front-end website architecture.
- Designing user interactions on web pages.
- Developing back-end website applications.
- Creating servers and databases for functionality.
- Ensuring cross-platform optimization for mobile phones.
- Ensuring responsiveness of applications.
- Working alongside graphic designers for web design features.
- Seeing through a project from conception to finished product.
- Designing and developing APIs.
- Meeting both technical and consumer needs.
- Staying abreast of developments in web applications and programming languages.
- Degree in computer science.
- Strong organizational and project management skills.
- Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
- Familiarity with JavaScript frameworks such as React(mandatory/preferred), Angular JS, and Amber.
- Proficiency with server-side languages such as Node.js(mandatory/preferred), Java, PHP.
- Familiarity with database technology such as MySQL, Oracle, and MongoDB.
- Excellent verbal communication skills.
- Good problem-solving skills.
- Attention to detail.
We are looking for a creative UI/UX Designer with a good portfolio of personal or company-based projects either on Behance or Dribble to join our team!
As a UI-UX Designer, you will be responsible for delivering the best online user experience, which makes your role extremely important for our success and ensuring customer satisfaction and loyalty.
You will be designing ideas using various methods and the latest technology. You will be designing graphic user interface elements, like menus, tabs, forms, and widgets. Your responsibilities would be -
1. Brainstorming feature ideas.
2. Wireframing/Prototyping using tools like Adobe XD / Photoshop.
3. Creating basic illustrations and icons using a tool like Illustrator.
4. Identifying opportunities / changing the interface to make user's lives easier.
5. Defining a good design process for future employees.
Apply if you like a startup culture and are willing to learn and adapt to changing needs.





