We are seeking an experienced, proactive Customer Success Associate to join our team and help nurture and grow relationships with our valued customers. You will be responsible for ensuring customer satisfaction, driving product adoption, and minimizing churn for our SaaS product. If you are passionate about delivering excellent customer service and have experience in managing customer success, we’d love to hear from you!
Responsibilities:
- Act as the main point of contact for our customers, helping them navigate our SaaS product
- Manage customer onboarding, ensuring smooth implementation and product adoption.
- Monitor customer health metrics and provide proactive outreach to prevent churn.
- Develop and maintain strong relationships with customers, understanding their goals, and aligning them with our product offerings.
- Respond to customer inquiries via email, Slack, or phone in a timely and professional manner.
- Collaborate with internal teams (sales, support, product) to resolve customer issues and improve the overall experience.
- Create and deliver product training sessions to customers, ensuring they maximize value from our platform.
Requirements:
- Proven experience in Customer Success or similar role in the SaaS industry.
- Experience in direct customer interactions.
- Excellent communication and relationship-building skills.
- Strong understanding of SaaS products
- Ability to identify customer needs and align them with product capabilities.
- Proactive mindset with problem-solving abilities and the ability to work independently.
- Experience using CRM tools (e.g., Salesforce, HubSpot) preferred.
- Have worked with direct interactions with Customer
- Strong organizational skills and attention to detail.
Preferred Qualifications:
- Experience working in a B2B SaaS environment.
- Knowledge of customer success metrics and how to manage them.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job Description
We are looking for a Business Development Executive (BDE) with strong experience in IT / Tech services sales to drive revenue growth through strategic client acquisition and relationship management. The ideal candidate should have hands-on expertise in Upwork, LinkedIn Sales Navigator, excellent negotiation abilities, and near-native communication skills. Experience in offline / field sales will be a strong advantage.
Roles & Responsibilities
- Identify, qualify, and close new business opportunities through Upwork, LinkedIn Sales Navigator, and other outbound/inbound channels.
- Manage the end-to-end sales cycle from lead generation, requirement gathering, proposal creation, negotiation, to deal closure.
- Build and maintain a strong sales pipeline and consistently achieve monthly and quarterly revenue targets.
- Draft high-quality proposals, pitches, and client communications tailored to client needs.
- Conduct discovery calls to understand client requirements and propose suitable IT/technology solutions.
- Coordinate with internal teams (technical, delivery, and leadership) to ensure accurate estimations and smooth handovers.
- Maintain long-term client relationships and identify opportunities for upselling and cross-selling.
- Track sales activities and performance using CRM tools, ensuring accurate reporting.
- Participate in offline/field sales activities, client meetings, networking events, and industry conferences when required.
- Stay updated with market trends, competitors, and emerging business opportunities.
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
XMLJob Description:
7+ years of experience as a Techno-Functional specialist supporting a finance organization with an emphasis on project management.
Must have 2-3 Project implementation and more than one support experience in Oracle EBS R12.
Expert level knowledge of Oracle Applications Framework, Oracle Workflow, Oracle Forms, Oracle Report, XML Report, PLSQL
Functional knowledge in financial module like, GL,AP, AR PO, Project is must Extensive use of oracle APIs and interfaces Experience in performance tuning of the code Experience in shell scripting.
Worked on Oracle Alert, AME, OAM ,DFF etc Good to have ADF experience Good to have ORDS experience Good to have exposure in cloud technology.
Responsibilities:
Act as a senior liaison between Business partners and IT communities Facilitate cross-functional teams through business process and application initiatives from requirements definition to prototyping, design, development, testing, training, and deployment.
Create technical designs to support business requirements.
Lead the development of technical solutions. Communicate project status and escalate issues to management. Develop and execute system test plans and scenarios.
Assist in preparing training materials for deployment of applications, modules, enhancements and bug fixes.
Assist in developing baseline datasets and reports to support testing of technical solutions.
Looking for IBM BPM Admin. PFB details.
Position: IBM BPM Admin
Experience: 5-8 Yrs
Location: Noida ( Work from office)
Working days: 6 days
Shift: General 9 Am to 6 PM.
· Monitor system performance and address issues proactively to minimize downtime.
· Implement routine maintenance tasks and updates to keep the IBM BPM system up-to-date.
· Administer user access and security settings for IBM BPM applications.
· Collaborate with other IT teams to ensure secure and compliant access controls.
· Install, configure, and maintain IBM BPM software and associated components.
· Diagnose and resolve technical issues related to IBM BPM, providing timely support to end-users.
· Collaborate with development teams to troubleshoot and optimize IBM BPM solutions.
· Develop and implement backup and recovery procedures to safeguard critical IBM BPM data.
· Conduct regular testing of backup and recovery processes.
· Optimize system performance through continuous monitoring and tuning activities.
· Collaborate with development teams to identify and address performance bottlenecks.
· Extensive knowledge of Windows Server Technologies, Linux, and VMware
· Good Experience is managing WebSphere cells, clusters, and node.
Data Science
Machine Learning (ML)As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.
• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
JD For Process Trainer –surat
Immediate Joiner With Telecom Process Training Experience
Should Have Good English Communication Skills
Should Have Minimum 2-5 Yrs. Experience In Telecommunication
Open For Travelling
Ok With 12 Months Contract
6 Days In A Week
Must Be Proficient In Local Language
Education And/Or Experience Equivalent To A Minimum Of A Bachelor's Degree From An Accredited University.
Retail Experience With A Proven Track Record.
Minimum Of Four Years’ Experience In Retail Training That Includes Creating A Training Program And Delivering To A Retail Team.
Ability To Identify A Training And/ Or Development Gap And Ability To Develop Training Sessions From The Ground Up To Fill The Gap.
Strong Interpersonal Skills Including Listening, Negotiating, Oral And Written Communication Skills Along With The Ability To Interact With Diverse Personalities.
Ability To Motivate, Teach And Inspire Retail Staff.
Excellent Presentation And Platform Skills And An Up To Date Knowledge Or Contemporary Training Techniques
iOS App Development
Swift
Objective CAbout the role: We are here to build a world-class tech organization with elite engineers and change agents who would spearhead this change. Currently, we are looking for engineers who are skilled, passionate, driven, and a wee bit crazy (yes, crazy works!) to join our tribe. The small tweaks you make, the processes you alter, the experiments you run, and the business decisions you drive will have reverberating effects on our ability to add value to our customers and keep them coming back for more.
What you will do everyday:
- Work with a group of people who believe in the utmost transparency and ethical practices
- Work with full autonomy and high ownership of outcomes
- Add value to our user’s life
- Focus deeply into app’s performance & stability
- Crave for a steep learning curve and challenge
Skills you need to do the job:
- 3-8 years experience with Objective C, Swift
- Experience in working on a large iPhone app, through scaling and performance issues.
- Knowledge of different Architectures like MVVM, MVP, etc - Knowledge of writing Unit Tests.
- Experience in integrating with Restful APIs. • Experience with CI/CD and building pipelines for app releases is a huge plus
- Capable of handling web service integration - RESTful, JSON, SOAP, XML
- Focus and passion for Mobile UI & UX to make apps exciting for the user
- Proactive towards debugging & optimization codebase
- Rapid prototyping skills for getting product feedback
- Understanding of product development lifecycle
- Experience in React Native or any cross-platform mobile development is a bonus
HTML/CSS
Adobe IllustratorXML
JavascriptHTML/CSS
AngularJS (1.x)
Bootstrap
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon