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- Study design briefs and determine requirements
- Schedule projects and define budget constraints
- Conceptualize visuals based on requirements
- Prepare rough drafts and present ideas
- Develop illustrations, logos and other designs using software or by hand
- Use the appropriate colors and layouts for each graphic
- Work with team and manager to produce final design
- Test graphics across various media
- Amend designs after feedback
- Ensure final graphics and layouts are visually appealing and on-brand
- Requirements
- Proven graphic designing experience
- A strong portfolio of illustrations or other graphics
- Familiarity with design software and technologies (such as InDesign, Illustrator, Dreamweaver, Photoshop)
- A keen eye for aesthetics and details
- Excellent communication skills
- Ability to work methodically and meet deadlines
- Degree in Design, Fine Arts or related field is a plus
Data AnalyticsMost product manager roles optimise screens.
This one optimises what happens on the ground.
We’re hiring a Product Manager to own a core product area end to end — from strategy and roadmap to execution and outcomes.
You’ll build software that improves real-world execution quality: whether a booked job gets fulfilled, starts and ends on time, meets standards, and happens at the right cost.
If you like building at the intersection of product, ops, and field reality — this is that role.
→ Own the vision, strategy, and roadmap for a core product area
→ Tie product decisions to business metrics like fulfilment, timeliness, variance, rework, and cost
→ Work closely with Supply, Demand, and City Ops to turn messy ground problems into scalable systems
→ Lead a pod of engineers and designers, make trade-offs, and ship continuously
→ Build dashboards, escalation systems, exception management, and software-driven SOPs
→ Spend time in the field with farmers, supervisors, and mukadams to make better product decisions
• 2–7 years in product with ownership of a meaningful product area
• Strong track record of taking products from problem to launch to measurable impact
• Systems thinker who can balance supply, demand, operations, and economics
• Comfortable with data, dashboards, and SQL/Sheets
• Strong stakeholder management across cross-functional teams
• High respect for on-ground reality in field-heavy environments
Bonus if you bring experience in rural India, agriculture, informal labour markets, new city launches, or 0→1 builds.
📍 Bangalore (on-site; regular field travel expected) | Reporting to CPO
Know someone who’d thrive in a role where product decisions show up in the real world, not just on a dashboard?
Tag them below or DM if this sounds like you.
#Hiring #ProductManager #ProductJobs #BangaloreJobs #OperationsTech #BuildInIndia
PythonLocation: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?
Position Overview-
This role would be a part of our B2B sales function for our growing India business. He/She
would drive the new client acquisition and client relationship management.
Role and Responsibilities-
- Use a mixture of inside sales, and borderline contacts, to source a demo with the
- VP/Head of Sales of a lead.
- Contact potential prospects through cold calls and emails.
- Orchestrate discussions with senior execs (CXOs) around their business needs.
- Timely follow-up with clinical precision.
- Manage and maintain a list of interested prospects.
- Deep understanding of the product.
- Meet personal sales targets.
- Given the name of a mid to large company, identify the right PoC using LinkedIn and Primenumbers contacts databases.
Requirements-
- Minimum 2+ years of relevant experience.
- Fluency in English and Hindi communication is essential.
- Education - Graduation (Btech, BE, BSc electronics, BCA preferred)
Perks-
- Attractive incentives.
- 5 days working.
- Fixed shift timings. (10:00am - 7:00pm, Mon-Fri)
Job description
Kapture CRM is an enterprise-focused Service automation SaaS platform. We help 500+ enterprises in 14 countries to manage their customer service in a more intelligent, contextual way.
Responsibilities
- Manage and monitor all installed systems and infrastructure
- Install, configure, test and maintain operating systems, application software and system management tools
- Proactively ensure the highest levels of systems and infrastructure availability
- Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes
- Maintain security, backup, and redundancy strategies
- Write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks
- Participate in the design of information and operational support systems
- Provide 2nd and 3rd level support
- Liaise with vendors and other IT personnel for problem resolution
Requirements:
- BS/MS degree in Computer Science, Engineering, or a related subject
- Proven working experience in installing, configuring and troubleshooting UNIX /Linux based environments.
- Solid experience in the administration and performance tuning of application stacks (e.g.,Tomcat, JVMS, Apache, NGINX, Email servers, Mysql)
- Solid Cloud experience AWS and Google Cloud
- Experience with virtualization and containerization (Dockers, Kubernetes, Eureka, Kafka)
- Experience with monitoring systems
- Experience with automation software (e.g., Puppet, cfengine, Chef)
- Solid scripting skills (e.g., shell scripts, Perl, Ruby, Python)
- Solid networking knowledge (OSI network layers, TCP/IP)
Website : https://www.kapturecrm.com/
- System integration experience using web services and other web-based technologies such as XML, HTML, AJAX, CSS, HTTP, REST/SOAP
- Experience with the development and implementation of ServiceNow CSM, ITSM modules or other ITSM applications.
- Experience with Business Rules, Script Includes, UI Actions, and Scheduled Jobs - all scripted aspects of the ServiceNow system
- Experience with ServiceNow client and server-side Javascript and the ServiceNow APIs
- Scripted Web-Services, AJAX, Business Rules, JavaScript, SOAP, REST SSO-SAML Setup and Integration of ServiceNow to Other Applications
- Customizing ServiceNow using UI Pages, UI Macro & CMS using CSS, HTML, and Jelly.
- Custom UI Changes with the usage of Web Technologies such as DOM, and HTML changes.
- Experience with extending the ServiceNow schema to custom applications
- Understands technical and functional design requirements related to ServiceNow.
- Create and manage scripts and workflow.
- Experience in one (or more) scripting languages: JavaScript, Python, Perl, Unix Shell, Windows Shell)
- Experience with relational databases (e.g. MySQL, Oracle)
We are hiring for Senior Data Architect for a reputed company
Experience required- 10-19 yrs
Skills required- Having hands on experience on Kafka, Stored procedures, Snowflakes.
Excellent Communication and motivational skills
Educate and create awareness on ecofriendly products
Negotiation skills
Python
JenkinsProgramming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.
- UI: HTML, JS
- System: Linux must have – good knowledge and shell scripting experience.
- Prior experience in infrastructure automation, monitoring will definitely help.
Description:
The person in this role:
- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors
- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:
Perl
- Shell scripting
- Unix
- Jenkins
Machine Learning (ML)
Deep LearningJob Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using 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 strong experience 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 have a proven ability to drive business results with their data-based insights. 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.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
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