Project Manager

HR Generalist

📍 Location: Mulund West, Mumbai (Onsite)

💼 Experience: 2–3 Years

🗓 Employment Type: Full-time

About the Role

We are looking for a proactive HR Generalist to manage day-to-day HR operations, including recruitment, employee lifecycle management, and HR administration. The ideal candidate should have hands-on experience in both technical and non-technical hiring, along with exposure to HR operations, employee engagement, and payroll support.

This role requires someone who can work closely with leadership and employees to ensure smooth HR processes and a positive workplace environment.

Key Responsibilities

Recruitment & Hiring

• Manage end-to-end recruitment for both technical and non-technical roles
• Source candidates through LinkedIn, job portals, and referrals
• Screen resumes, conduct HR interviews, and coordinate with hiring managers
• Schedule and manage interview processes and candidate communication
• Manage offer rollouts and candidate follow-ups

Onboarding & Offboarding

• Coordinate new employee onboarding, documentation, and orientation
• Ensure smooth onboarding experience and completion of joining formalities
• Handle employee exit processes including exit interviews and documentation
• Manage full employee lifecycle from joining to separation

HR Operations

• Maintain employee records and HR documentation
• Ensure compliance with company policies and HR procedures
• Assist in updating HR policies and employee handbook

Employee Engagement & HR Activities

• Plan and execute employee engagement initiatives and HR events
• Support activities related to employee well-being and workplace culture
• Assist in organizing company events and celebrations

Payroll & Administration

• Support payroll processing by coordinating attendance, leave records, and required data
• Maintain employee attendance and leave records
• Handle HR administrative activities and coordinate with the accounts team when required

Requirements

• 2–3 years of experience in HR Generalist or HR Executive role
• Experience in tech and non-tech hiring
• Strong understanding of recruitment processes and HR operations
• Good communication and interpersonal skills
• Ability to multitask and work in a fast-paced environment
• Proficiency in MS Excel, HR tools, and job portals

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

We are seeking a skilled Full Stack (FSE) Developer with expertise in Java, Spring Boot development to join our dynamic team. In this role, you will be responsible for development of critical banking application across various business domains. You will collaborate closely with cross-functional teams to ensure high-quality solutions are developed, maintained, and continuously improved.

Responsibilities:

Development of business-critical banking applications.

Develop new features for banking applications using FSE technologies.

Ensure code quality through proper testing, reviews, and adherence to coding standards.

Collaborate with design, backend, and other teams to deliver seamless user experiences.

Troubleshoot, debug, and optimize performance issues.

Participate in agile development processes and contribute to continuous improvement initiatives.

Requirements:

Bachelors/Masters degree in computer science, Software Engineering, or a related field.

4 – 6 years of relevant experience in application development.

Solid experience in:

Java, Spring Boot.

APIs / REST.

Kubernetes / OpenShift. 

Azure DevOps.

JMS, Message Queues.

Nice to have knowledge in: 

Quarkus.

Apache Camel.

Soft skills / Personality:

Excellent English communication skills / proactive communication.

Candidate needs to have Self-dependent working style.

Candidate needs to have problem solving skills (Strong analytical skills to identify and solve complex issues).

Candidate needs to show high Adaptability (Flexibility in adjusting to different working environments and practices).

Candidate needs to be quick in Critical thinking (Evaluating information and making informed decisions).

Candidate needs to have Team collaboration (Ability to work collaboratively with a distributed team) character.

Candidate needs to have Cultural awareness ability.

Candidate needs to be Initiative (Proactively seeking solutions and improvements).

Good to have knowledge about Co Banking systems.

Good to have Banking domain knowledge.

Experience in customer facing is an advantage.

Skills & Requirements

Java, Spring Boot, APIs/REST, Kubernetes, OpenShift, Azure DevOps, JMS, Message Queues, Quarkus, Apache Camel, Excellent English communication, Proactive communication, Self-dependent working, Problem-solving, Analytical skills, Adaptability, Critical thinking, Team collaboration, Cultural awareness, Initiative, Co-banking systems knowledge, Banking domain knowledge, Customer-facing experience.

• Create content to be used for blog posts, social media, press releases, and other platforms.

• Research industry-related topics.

• Collaborate/coordinate with the marketing team to prepare various marketing collateral and communications for both public and internal use.

• Compose and develop content for all communication channels and across mediums (digital, print, web).

• Learn the functions of internally developed software to write end-user documentation (such as online help, quick reference guides, and release notes).
  REQUIREMENTS-

• Should have a good understanding of SEO best practices to increase traffic to the company website.

• Must have a flair for creative writing

• 1-3 years experience in content writing for a B2B company

• Knowledge of tools like Grammarly or equivalent, Keyword research tools

• Knowledge of content distribution is preferred

• Hands-on experience in any Cloud Platform

• Microsoft Azure Experience

Our client is a leading provider of specialised marketing services that enables businesses across different sectors to grow effectively. This decade old venture founded by a woman entrepreneur offers innovative solutions by leveraging cutting edge technology based on the individual needs of the client. Their services include market research, in- store promotions, store launches, road shows, retail merchandising, events and exhibitions, among others.

Headquartered in Mumbai, the company has presence in Delhi, Bangalore and Chennai as well as dedicated local teams across other metros and small towns in India. This agency has worked with more than 100 companies and 800 brands and delivered top notch marketing strategies through integrated BTL and digital channels. Some of its clients include ITC, Zydus Wellness, PnG, Crompton, HUL, Tata and Nestle.

• Executing tests, collecting and analyzing data and results, identifying trends and insights in order to achieve maximum ROI in paid search campaigns
• Tracking, reporting and analyzing website analytics and PPC initiatives and campaigns
• Managing campaign expenses, staying on budget, estimating monthly costs and reconciling discrepancies
• Optimizing copy and landing pages for search engine marketing
• Performing ongoing keyword discovery, expansion and optimization
• Researching and implementing search engine optimization recommendations
• Researching and analyzing competitor advertising links
• Developing and implementing link building strategy
• Working with the development team to ensure SEO best practices are properly implemented on newly developed code
• Working with editorial and marketing teams to drive SEO in content creation and content programming
• Recommending changes to website architecture, content, linking and other factors to improve SEO positions for target keywords

Desired Candidate Profile

• Proven SEO experience
• On Page SEO- Keywords auditing and developing required tags and optimizations
• Off Page SEO- Thorough knowledge of backlinking techniques
• Proven SEM experience managing PPC campaigns across Google and Facebook business
• Solid understanding of performance marketing, conversion and online customer acquisition
• In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends)
• Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite)
• Experience with A/B and multivariate experiments
• Working knowledge of HTML, CSS and JavaScript development and constraints
• Knowledge of ranking factors and search engine algorithms
• Up-to-date with the latest trends and best practices in SEO and SEM
• Proven backlink experience- sites built backlinks for and raised traffic (will check url)
• Website links to previously conducted on-page optimizations
• Previously conducted keyword embedding for #1 rank Google    

We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.

You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge. 

We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.