Travel Desk Executive

Description

Company is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. We embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.

As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their Google Cloud journey. You will be expected to work a large spectrum of technology and tools including public cloud platforms, AI and LLMs, Kubernetes, data processing systems, databases, and more.

What you will do...

• Working with our clients to understand their requirements and technical challenges. Using this input you will develop a technical design for a solution and communicate the value of your solution to the client team.
• You will work to develop delivery estimates and an estimated project plan.
• You will act as the lead technical member of the implementation project team. You are responsible for making the key technical and keeping delivery on track. You should be able to unblock when things are stuck.
• Utilize a broad range of technologies such as Kubernetes, AI, and Large Language Models (LLMs), to develop scalable and efficient cloud applications.
• Stay abreast of industry trends and new technologies to drive continuous improvement in cloud solutions and practices.
• Work closely with cross-functional teams to deliver end-to-end cloud solutions, from conceptualization to deployment and maintenance.
• Engage in problem-solving and troubleshooting to address complex technical challenges in a cloud environment.

What we need...

• 5+ years of experience working in a Software Engineering capacity
• Excellent knowledge and experience with Python, and preferably additional languages such as Go
• Strong critical thinking skills, and a bias towards problem solving
• Familiarity with implementing microservice architectures
• Fundamental skills with Kubernetes. You should be familiar with packaging and deploying your applications to k8s
• Experience building applications that work with data, databases, and other parts of the data ecosystem is preferred
• Familiarity with Generative AI workflows, frameworks like Langchain, and experience with Streamlit are all highly desirable, but at a minimum you should have a willingness to learn
• Experience deploying production workloads on the public cloud - either GCP or AWS
• Experience using CI/CD tools such as GitHub Actions, GitLab, etc
• Able to work with new tools and technologies where you may not have prior experience
• Comfortable with being on video in meetings internally and with clients
• Strong English communications skills

We are a fully remote company and offer competitive compensation and benefits.

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

1. Application
2. Take-Home Project
3. Technical Deep Dive
4. Leadership Interview
5. Reference Checks

Pls apply here:

tinyurl [dot] com/ysk8w2eu

Job position: Analyst programmer 

Location: Mumbai - Andheri East

Salary: 12-13LPA (negotiable)

EXPERIENCE: 3+ years 

Experience in Winforms mandatory

Qualifications:

 Bachelor’s degree in Computer Science, Information Technology, or a related field.

 Proven experience as an Analyst Programmer or similar role.

 Proficiency in programming languages such as C#, Asp.net, Winform etc.

 Strong understanding of software development methodologies (e.g., Agile, Waterfall).

 Experience with database management systems SQL Server.

 Excellent analytical and problem-solving skills.

 Strong communication and interpersonal skills

We are a small team of closely knit engineers who were able to build a product that helped us to scale until this point. The company’s growth from here is based on the strategy of focusing on  enterprise customers and making products ready for them.

Laundry industry has critical workflows and complex integrations with hardware and machines, and the new developers need to be more confident and fearless about making changes in the system. This will help to deliver products faster to the customers while building more robust products. 

We are looking for an experienced QA Test Automation Engineer to be part of our team. Your understanding of functional testing, writing maintainable tests, written and verbal communication skills will be put to the test.

• Estimate, prioritize, plan, and execute manual testing activities.
• Manage release from the QA perspective and keep the affected parties informed.
• Identify quality assurance process bottlenecks and suggest actions for improvements.
• Preparing test cases for unit, integration and end-end testing.
• Plan and manage automation testing strategy for QDC.

We are searching for a driven, detail-oriented content creator to produce high-quality outputs for our business. The content creator will identify new ways to reach consumers. 

Content Creator Responsibilities:

• Writing, reviewing, editing, and updating content for company websites, blogs, marketing materials, and similar platforms.

• Learn more about current trends, developments, and perceptions about the subject matter, and then contextualizing your findings.

• Assisting the creative team.

• Using social media to engage consumers, respond to questions or complaints, and to promote company initiatives.

• Collaborating with internal departments to establish campaign. 

• Monitoring social media and company website metrics.

• Suggesting new ways to promote company offerings and to reach consumers.

• Experience creating strong, engaging content.

• Excellent research, organizational, and time management skills.

• Strong listening and communication skills.

• The capacity to work independently and collaboratively.

About Klenty:

Klenty is a Software Product company operating in the Sales Engagement category. We

are one of the fastest growing SAAS startups in the sales engagement space, headquartered in

California and operating from Chennai, India. Klenty’s Sales Engagement Product helps

thousands of sales teams automate all the repetitive activities involved in the sales process like

sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus

more on activities like building relationships and closing deals. With over 3000 customers all

over the world, we are on a mission to transform every B2B Sales team into an unstoppable

force. Join us in building the future of sales engagement software.

JD :

Responsibilities:

• Developing new user-facing features using ReactJS.
• Building reusable components and front-end libraries for future use
• Translating designs and wire-frames into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers
• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following ReactJS workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

Job Description

• Understanding of product landscaping, product benchmarking, product feature prioritization and product development processes are a must in order to be able to create a roadmap and deliver on the same;
• Direct interaction with end customers, OEMs, Channel Partners and Sales Teams in order to understand the business needs and document the voice of the customer for new product features or offerings;
• Improving the product development planning process as and when required in order to boost the product portfolio of the company;
• Create consistent and continuous engagement through the product in order to ensure complete satisfaction;
• Grow customers internally and externally by identifying other areas where the company can add value in a scalable manner;
• Identify new customer needs, create product strategies around the new needs and build scalable product offerings;
• Be able to say “no” to certain feature requests and explain to the stakeholders and help them

understand the reason behind it;

• Create transparent, scalable and easy-to-understand prioritization processes so that the business scales;
• Ensure customers are engaged and develop key product features to measure customer engagement and success which can be monitored and tracked;
• Provide frequent progress reports, both casually and in written format;
• Document decisions, strategy implementation and outputs;
• Present methods and results to peers’ management and customers as necessary

Required qualifications:

We are looking for a smart, adaptable individual with a healthy mix of software product management experience, enterprise software products, product landscaping, great presentation/communication skills, and strong leadership/people management skills and the following qualifications:

• At least 5-6 years of continuous experience in product management at a software product company , IIT and NIT will be a special consideration
• Good understanding of B2B product development and its life cycle.
• Previous experience working in a team and leadership skills;
• Experience in setting targets and milestones and achieving them;
• A problem-solving attitude;
• Ability to communicate effectively and concisely, whether verbally, in writing, or through drawings, presentations and schematics;
• Knowledge of core engineering concepts that will allow road-mapping an enterprise technology product efficiently;
• Ability to innovate, outdo expectations and persevere to benefit the team as a whole;

Individuals who are creative, enterprising and attentive to detail will fit right in with our small, passionate team. We always run-on high energy and enthusiasm and are looking for that fire in the belly! We look forward to meeting you!

What you need to have: