- Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
- Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
- Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
- Design, develop and maintain the framework for the analytics solutions pipeline
- Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
- Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
- Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

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About the Role
We are looking for a dynamic and result-oriented EdTech Sales Representative with prior experience in Institutional Sales. The role focuses on building partnerships with colleges and universities by engaging with key academic stakeholders and driving collaborations for student training programs.
Key Responsibilities
- Drive institutional sales by onboarding colleges and universities for training collaborations
- Identify, approach, and generate leads from educational institutions in assigned regions
- Visit campuses and schedule meetings with HODs, placement cells, and decision-makers
- Present Iklavya’s training solutions and convert prospects into long-term partnerships
- Negotiate and close agreements/MoUs with institutions
- Build and maintain strong relationships with academic stakeholders
- Maintain a consistent sales pipeline and follow up on leads
- Provide regular updates, reports, and market insights to the team
Required Skills & Qualifications
- Mandatory: Prior experience in Institutional Sales (B2B / Education / EdTech sector)
- Proven ability to close deals with colleges, universities, or similar institutions
- Strong communication, presentation, and negotiation skills
- Confidence in interacting with senior academic professionals (HODs, Deans, Management)
- Self-driven, target-oriented, and proactive approach
- Basic knowledge of MS Office (Excel, PowerPoint, etc.)
Travel Requirements
- Willingness to travel extensively within assigned regions
- Candidates should be comfortable visiting colleges in Prayagraj, Lucknow, and nearby cities like Varanasi
Eligibility Criteria
- Graduate in any discipline (MBA preferred)
- 1–4 years of relevant experience in Institutional / B2B Sales
Senior Data Engineer
Pls apply here:
tinyurl [dot] com/ysk8w2eu
About Discovered Labs
At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.
We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.
High-level overview of our approach:
- Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.
- First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.
- Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.
The Team
We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, Plaid, and Coinbase; developed self-driving car systems at Aurora; and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.
This Role
Own the data infrastructure behind automated reporting, AI visibility monitoring, competitive intelligence, and proactive alerting across a growing multi-tenant client base.
The hard problem is operational complexity, less so petabyte scale volume. Many clients, each with multiple data sources, different schemas, different API rate limits, different failure modes, different freshness requirements. When one breaks, it can't take down everyone else. Fault isolation, graceful degradation, and per-tenant reliability are built in from the start.
This is largely greenfield. You'll be building out monitoring, observability, data quality layers and pipeline orchestration.
You report to the CTO and work closely with product engineers who build the features that consume your data layer. You'll define interfaces and data contracts together. There's no platform team. You own your infrastructure, your CI, and your monitoring.
What You'll Do
- Multi-tenant data infrastructure. Ingestion, validation, and transformation across multiple data sources. Fault isolation, schema variation, and graceful upstream failure handling.
- Third-party API integration. Most of our data comes from external APIs with their own auth flows, rate limits, pagination quirks, and breaking changes. You'll build robust, resilient connectors that handle all of this gracefully across many client accounts.
- Data quality systems. Automated checks on distributions, volumes, null rates, and freshness. Statistical validation, not just schema validation. Bad data doesn't make it downstream.
- Data observability. Freshness monitoring, volume anomaly detection, schema drift detection, lineage tracking, blast radius analysis. You know the difference between "the code ran" and "the data is correct."
- Alerting design. Not just dashboards. Threshold tuning, noise reduction, avoiding alert fatigue. Mean time to detection is a core metric for this role.
- Freshness SLAs. Define them per source, build infrastructure to meet them, alert before they breach.
- Event-driven trigger infrastructure. Surface performance changes, quality regressions, and freshness violations as events for downstream systems.
- Entity data models. Design schemas for client, competitor, and content entities. Own schema evolution and backward compatibility.
- Operational environment. CI/CD, containers, deployment pipelines, credential management. Every deploy passes CI before production.
The Ideal Person for This Role
- A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built data infrastructure people actually rely on.
- An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once.
- An owner. You take responsibility for outcomes, not just tasks. When a pipeline you built breaks at 3am, you fix it and make sure it doesn't break again.
- Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.
- A first-principles thinker. You understand why things work, not just how. You can go five levels deep on schema decisions, validation strategies, and architecture tradeoffs.
- Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.
Requirements
- 4+ years in data engineering, platform engineering, or infrastructure-heavy backend work.
- Python, SQL, pipeline orchestration (Airflow, Dagster, Prefect, or similar).
- Event-driven architectures or real-time data processing.
- Third-party API integration. You've built resilient connectors against external APIs with rate limits, auth flows, pagination, and breaking changes. Not just calling endpoints, but handling the full operational reality.
- Pipeline fundamentals. Idempotent pipelines, backfill strategies, and schema evolution handled gracefully in production.
- Data quality systems in production. Automated checks on distributions, volumes, freshness, null rates. Not a one-off notebook.
- Data observability. Freshness monitoring, anomaly detection, lineage tracking, blast radius analysis.
- Alerting design. Threshold tuning, noise reduction, escalation paths. You've thought about false positives as much as missed detections.
- Own your infrastructure. Containers, CI/CD, deployment pipelines, monitoring, credential management. No platform team to hand off to.
- Multi-tenant or multi-client data systems. Tenant isolation, per-client configuration, and operational overhead at scale.
- APIs or service layers for data exposure. You've built interfaces that other systems consume, not just internal scripts.
- Collaborative. You'll work closely with product engineers to define data contracts and interfaces. You communicate tradeoffs clearly in writing. You document decisions, write clear specs, and communicate tradeoffs in writing.
Preferred Qualifications
- Experience with marketing or analytics data (GA4, GSC, SEO tools)
- Prior experience at a fast-moving startup
What's in It for You
- Fully remote position
- Work directly with the CTO on high-impact projects
- High ownership and autonomy. No micromanagement.
- First-hand exposure to cutting-edge AI and search technology
- Your work will directly impact well-known (10M+ ARR) companies' performance
- Join a fast-growing company at the intersection of AI and marketing
Our Hiring Process
- Application
- Take-Home Project
- Technical Deep Dive
- Leadership Interview
- Reference Checks
Pls apply here:
tinyurl [dot] com/ysk8w2eu
Position Overview:
As the Operations Manager, you will play a crucial role in ensuring that disabled individuals receive the best possible care and support from our team of associates. You will be responsible for managing the day-to-day operations, client relations, associate recruitment, training, and overall quality of services provided.
Key Responsibilities:
Onboarding
· Create a team of associates who will visit the customers and provide services as mentioned in the introduction note. Will be responsible for onboarding this team.
Quality Assurance:
· Establish and oversee quality assurance programs to monitor and evaluate the performance of associates.
· Conduct regular assessments, feedback sessions, and performance reviews to maintain high standards of care.
Scheduling and Coordination:
· Manage the scheduling and coordination of associates to ensure that clients receive timely and appropriate support.
· Collaborate closely with the scheduling team to accommodate individual client needs and preferences.
Compliance and Regulations:
· Stay informed about industry regulations and ensure that all operations adhere to legal and ethical standards.
· Implement and enforce compliance protocols and guidelines.
Budget Management:
· Efficiently manage the operations budget, allocating resources for recruitment, training, and ongoing support while maintaining cost-effectiveness.
Emergency Response:
· Lead the development of emergency response protocols and ensure that associates are well-prepared to handle unforeseen situations while caring for disabled clients.
Continuous Improvement:
· Seek feedback from clients, associates, and their families to identify areas for enhancement and innovation in the services provided.
· Drive continuous improvement initiatives to enhance client outcomes.
Client Relations:
· Build and maintain strong relationships with clients and their families.
· Ensure that individual client needs and preferences are understood and met by our associates.
Associate Recruitment and Training:
· Lead the recruitment process for associates, identifying candidates with the skills and empathy required to support disabled clients effectively.
· Develop and implement comprehensive training programs to equip associates with the knowledge and sensitivity needed to deliver exceptional care.
Qualifications:
· Bachelor's degree in Healthcare Administration, Business Management, or a related field (Master's degree preferred).
· Proven experience of 4 -6 years in healthcare management, disability services, or a related field.
· Strong leadership and team management skills.
· Excellent communication and interpersonal abilities.
· Knowledge of industry regulations and compliance standards.
· Ability to analyze data and make informed decisions.
· Compassion, empathy, and a genuine commitment to improving the lives of disabled individuals.
Talview is seeking experienced frontend developer to join our engineering team building next generation reactive web app applications for the talview platform. We're looking for passionate, creative developers who are excited about solving new problems. As a developer, you will work through the full project lifecycle to design, develop, test, implement and support the web applications. You will have the opportunity to work in a dynamic environment on highly impactful projects. We don't expect you to know everything coming in, so we'll pair you with mentors who will help you grow and develop your skills.
We want to hire the right person wherever you are in the world. You’ll enjoy working in a fantastic development environment with flexible working hours .
Skills & Requirements
We expect to see:
- 2-5 year of experience.
- Expertise with JavaScript and modern JS reactive frameworks like React JS/ Vue / Svelte.
- Experience writing semantic HTML5 markup and CSS3.
- Expertise developing web apps with responsive/adaptive design and progressive enhancement.
- Understanding of major browsers and the special considerations required for various quirks.
- Experience with mobile web development.
- Experience with Node.js, package management, build systems (webpack/rollup/esbuild) and the OSS ecosystem.
- Experience with VCS and Git in particular.
- A strong design sense and knowledge of how product design affects UI/UX.
- Strong Javascript foundation and clear understanding of Javascript classes, prototype based inheritance, modules, etc.
We like to see (but not required):
- An active Stack Overflow and Github profile
- Prior experience with UI frameworks and javascript
- Any open source code or example projects that you're proud of
- Experience in developing SaaS products with an engaged user base
- Any other evidence of your passion for building great applications
- Drive Customer Success Outcomes
- Increase renewal rates and reduce churn
- Influence future lifetime value through higher product adoption, customer satisfaction and overall health scores
- Drive new business growth through greater advocacy and reference-ability
- Optimize Customer Lifecycle
- Identify opportunities for continuous improvement
- Learn from best practices in industry
- Take Decisions on contentious issues during customer journey
- Manage Customer Success Activities
- Customer Support Management
- Customer Success Management
- Renewals
- Billing and Collections (along with finance)
- Advocating for Cross Sell and Upsell
- Inspire Customer Success Across Company
- Create company-wide culture of Customer Success
- Align with Marketing around marketing to existing clients
- Align with Product around driving product roadmap
- Align with Sales around cross-sell and up-sell and focus on selling with a retention focus
- Create company-wide customer feedback loop
- Align with Finance around measurement and forecasting
- Align with Executive Team around key metrics and objectives
Requirements:
- 2+ years experience in B2B organizations
- Strong empathy for customers AND passion for revenue and growth
- Ability to manage influence through persuasion, negotiation, and consensus building
- Ideally combined background of post-sale and sales or business experience
- Excellent communication and presentation skills
- Deep understanding of value drivers in recurring revenue business models
- Analytical and process-oriented mindset
- Demonstrated desire for continuous learning and improvement
- Relevant Bachelor’s degree; preference for computer science or related degrees
- Need - good excel skills. Want - good ppt skills
- Handling tough situations or unhappy customers
At LambdaTest, We help developers and testers fix their applications across a combination of 2000+ browsers and Operating Systems by providing a complete cross-browser ecosystem on the cloud. As Backend Developer You will work with other Developers throughout the Software Development Life Cycle.
You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll out product that deliver the company’s vision and strategy.
What’s the Opportunity?
- As a hands-on engineering professional, you'll stay on top of the details and will be more focused on building a better, more efficient program and creating the best user experience and
- Support and collaborate with our service engineers in getting to the bottom of issues and come up with robust solutions.
- Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
- Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people.
- Design distributed systems using micro services architecture would be plus.
- Implementing high performance and non-blocking systems to serve traffic heavy SaaS based product.
Requirements and qualifications-
- Bachelor's degree in Computer Science or equivalent combination of technical education with 2-4 Years of work experience.
- Experience with one or more general purpose programming languages, including but not limited to:Python, Golang, NodeJs
- A solid understanding of software construction
- The ability to naturally follow good development practices like test automation, CI/CD, source version control, etc.
Job description
In-Depth knowledge about creating product listing on e-commerce portals.
Good understanding of the placement of Keywords, Making Title, Bullet Points, and E-Commerce SEO Friendly Product Description.
Good Understanding of improving product ranking organically on all the marketplaces.
Creating FBA Shipment, Taking FC Appointment, Creating Removal Order of all Unsold, or damaged Inventory within the time.
Generating all kinds of business reports, Sales Report, Return Report, and give the business insight to the sellers to add valuable input to improve the client business efficiently.
Confidence to handle the process independently.
- Responsible for client engagement & Manage the requirements
- Communicate with clients to identify their requirements and choice of property
- Coordinate the builder to arrange for the site visit and share the necessary information to clients
- Visit the connected properties and identify the USPs to pitch better to clients
- Manage the feedback from the client
- Understand the real estate market & comparison of the product
- Maintain good business relationship with client and builder
- Participate in seminars, conferences, and events to enhance the market & expand the business network
- Work with the team to share the responsibilities and work towards achieving team’s targets









