Sr. Product Manager
Data Analytics
Key Responsibilities
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Collaborate with research, design, sales, marketing, and engineering to prioritize and deliver the most impactful solutions for our developer customers and their consumers
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Plan and execute the short & medium-term strategy for our developer-focused products
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Deliver positive business outcomes through best-in-class discovery and delivery
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Learn from customer feedback, behavioral measurements, A/B tests, and other data sources to build better customer experiences
About you
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5+ years of crafting and delivering world-class digital products
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a master communicator who can take people along on your journey
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Proficient in data analysis and analysis tools eg. Google Analytics, Tableau, Looker
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Strong understanding of the dynamics of a 2-sided marketplace and conversion optimization
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Understand the greater implication of projects, their dependencies, and stakeholder tradeoffs
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Bias-to-action, willing to do whatever it takes to get quality products and features to market on time
Shubham Vishwakarma
Full Stack Developer - Averlon
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Strong Lead DevOps / Infrastructure Engineer Profiles.
Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.
Mandatory (Education) –B.E/ B.Tech
Description:
We're hiring a senior SDET to work on our hybrid android application (WebView based). Our app is how over 10 million dairy farmers trade cattle, in a peer-peer marketplace, to improve their economic conditions. Your frameworks and tools will have a far-reaching impact on a dairy farmer's life and indirectly make a positive impact on our GDP.
Ideally, you’re a person who loves performing test automation, including the creation & management of test scenarios, documentation, and coding tests. You will help drive the design & building of E2E test automation and frameworks for our React.js based hybrid mobile application. Moreover, you will find bottlenecks & thresholds in existing code with the help of automation tools.
From our end, you will get a fast-paced environment to learn and grow. You’ll get opportunities to represent the company in events like Devoxx, Google Developer Days India, etc.
Who are we looking for
Generally speaking, we’re after individuals that are curious about the possibility of technology, are eager to learn, and are diligent and kind. Our teams work well because we place trust in them to succeed. We trust you to do well.
Prior experience with Appium or other automated mobile testing technologies
- Knowledge of front-end/UI testing is highly desired.
- Hands-on experience on more of TestNG, JUnit, Spring Test, etc.
- Experience in working with Agile + DevOps' process management methodology.
- Experience in using one or more of RestAssured, SuperTest, Postman, Swagger.
- Experience in using mocking frameworks
- Experience in using API testing frameworks
- Experience in Performance testing frameworks and the ability to design performance tests
- Experience in some scripting languages, like Shell, Python, etc.
Who we are
With millions of transactions each month, it is one of the world’s fastest-growing agritech companies. We continue to re-imagine and re-engineer the dairy ecosystem in India, and each team member will have significant ownership of the key components that go into this mission!
Till now, it has primarily focused on building a peer-to-peer cattle trading platform and the journey of has been very encouraging and promising - we have reached more than 5 million dairy farmers within a short span of 1.5 years. More than 300,000 cattle have been sold through us which amounts to 3000 Crore Rs of GTV and is now at a monthly run rate of 320 Crore Rs GTV. Our dairy farmers have rated us 4.6 out of 5 and 60% of our dairy farmers refer us to at least one friend every month.
PHP
Laravel- Knowledge of CORE PHP & web framework including Laravel.
- Knowledge of front-end technologies including CSS3, JavaScript, and HTML5.
- Understanding of object-oriented PHP programming.
- Experience with API integration.
- Previous experience creating scalable applications.
- Proficient with code versioning tools including Git, Mercurial, CVS, and SVN.
- Familiarity with SQL/NoSQL databases.
- Building the infrastructure for serving the front-end app and assets.
- Working on full projects of App or website development, from scratch to finish.
RaRa Delivery is revolutionizing e-commerce in Indonesia by moving all the deliveries to instant and same-day. We are making instant deliveries truly scalable and cost-effective by leveraging a differentiated operating model and real-time smart batching technology. We are already partnered with all the biggest players in Indonesia across product categories and are backed by investors like Sequoia Capital, East Ventures and 500 Startups.
About the role
The Product Manager is responsible for both product planning and execution. This includes managing the product throughout the Product Lifecycle, gathering and prioritizing product and customer requirements, defining the product vision and working closely with engineering to deliver quality winning products. It also includes working with sales, ops, marketing and finance to ensure productivity, revenue and customer satisfaction goals are met
Responsibilities
Identify user problems and provide solutions with product feature/improvements
Define and write product backlogs and drive prioritization within an agile team
Working closely with developers, designers, and other stakeholders to implement new products, features or improvements.
Evaluate the impact of the product/feature/improvements periodically
Act as an intermediary between operations, technical, and business to ensure all processes are in harmony
Communicate product plan and user feedback to all related stakeholders
Ideal Candidate Profile
Minimum 2 years’ experience working as Product Manager in a hyper growth startup
Able to breakdown complex problems into smaller use cases and solutions
Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements and features
Excellent problem solving skills
Strong interpersonal skills to be able to communicate effectively with both external and internal customers.
Ability to speak and write in English and Bahasa and work in a multicultural environment
Possess empathy for our users
Have a genuine interest in logistics and technology
Data Science
Machine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
- Managing and overseeing the organization's e-commerce business efforts
- Identifying opportunities for growth within existing e-commerce accounts, and developing new Marketplace customers
- Heading the planning and execution of the marketing strategies to promote services to online customers
- Creating reports in the system to track product sales
- Leading development of tailored marketing campaigns
- Continually monitoring the campaigns in progress and optimizing as needed.
- Using data to create strategic plans
- Collaborating with a cross functional team to ensure technical capability to deliver, measure and optimize the success of e-commerce marketing campaigns.
- Creating comprehensive reporting on campaign performance that clearly communicates strength and weakness of each campaign.
What you need to have:
- Bachelor's degree in a quantitative, test-driven field or equivalent experience.
- B.Tech / B.E. preferred
- Minimum 3 years' experience in E-commerce marketing including responsibility for campaign development and strategy
- Thorough understanding of e-commerce marketing, including search engine optimization, keyword bidding and online tracking systems
- Proficient in Microsoft Suite
- Must have experience in Amazon Marketing Services (AMS), Search Engine Optimization (SEO)
- Must have worked in a fast paced startup
1. Interpret clients’ needs and work on a variety of products ranging from mock-ups, PUC designs, websites and application, social media creatives, print ads and banners, to corporate identity and branding requirements.
2. Cultivate a solid body of work. Take the design “brief” to record requirements and clients needs.
3. Work with a wide range of media and use graphic design software.
4. Think creatively and develop new design concepts, graphics and layouts.
5. Amend final designs to clients’ comments and gain full approval. Work as part of a team with copywriters, designers, stylists, executives etc.
Android Development
Kotlin
JavaFamiliarity with RESTful APIs to connect Android applications to back-end services.
Strong knowledge of Android UI design principles, patterns, and best practices.
Experience with offline storage, threading, and performance tuning.
Ability to design applications around natural user interfaces, such as “touch”.
Familiarity with the use of additional sensors, such as gyroscopes and accelerometers.
NodeJS (Node.js)
Javascript
MongoDB
Express
HTML/CSS
Python
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Full Stack Developer - Averlon