Zonal Marketing Manager

Job Overview:

We are looking for a high-ownership Software Engineer with hands-on experience in modern full-stack development. The role demands strong fundamentals, the ability to work in a startup environment, and a mindset to build, iterate, and scale products.

You will be working closely with founders and cross-functional teams to build robust, scalable, and high-performance applications.

Core Responsibilities

·        Develop and maintain web applications using Next.js (frontend) and Nest.js (backend)

·        Design, build, and optimize RESTful APIs and backend services

·        Translate business requirements into scalable technical solutions

·        Collaborate with product, design, and business teams for feature development

·        Debug, troubleshoot, and improve application performance

·        Ensure code quality through clean architecture, testing, and best practices

·        Participate in deployment, monitoring, and continuous improvement cycles 

Technical Requirements

·        Strong proficiency in JavaScript and TypeScript

·        Solid understanding of web fundamentals (HTML, CSS, APIs, browser behavior)

·        Hands-on experience with Next.js and Nest.js

·        Working knowledge of PostgreSQL or relational databases

·        Familiarity with Git and GitHub (version control workflows)

·        Understanding of API design principles and backend architecture

Good-to-Have Skills

·        Experience with deployment platforms (Digital Ocean, AWS, Docker, etc.)

·        Knowledge of authentication, authorization, and security practices

·        Exposure to CI/CD pipelines

·        Understanding of scalable system design basics

What We Want

·        Strong problem-solving mindset

·        Ability to learn fast and adapt quickly

·        Comfort working in an unstructured startup environment

·        Ownership-driven attitude (not just task execution)

·        Clear communication and collaboration skills

Ideal Candidate Profile

·        Projects demonstrating end-to-end ownership

·        Contributions on GitHub (active repositories, clean code)

·        Experience building real-world applications (not just tutorials)

·        Ability to explain technical decisions and trade-offs

What You Will Get

·        Opportunity to work directly with startup founders

·        Fast-paced learning environment and accelerated skill development

·        Exposure to real product building and scaling challenges

·        Freedom to experiment, build, and innovate

·        Performance-driven growth and responsibility

·        Competitive compensation aligned with your potential

Additional Details

·        Joining: Immediate (7–15 days preferred)

·        Probation: 3 Months 

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

Location: Bangalore (Work from Office)

Experience: 5+ Years

Notice Period: Immediate or Serving Notice Preferred

Industry: SaaS / B2B / BPO / HR Tech

Team Lead : Experience is must

Job Summary:

We are looking for a results-driven SaaS SEO B2B Specialist to lead and execute high-impact SEO strategies that drive traffic, improve search rankings, and increase conversions for our B2B digital presence. The ideal candidate will have a strong background in technical and content SEO, preferably within the SaaS, BPO, or recruitment industries.

Key Responsibilities:

• SEO Strategy Development: Create and execute comprehensive SEO strategies aligned with business goals.
• Competitor Analysis: Analyze competitors to identify SEO opportunities and threats in the marketplace.
• Technical SEO: Perform detailed website audits and optimize for crawlability, indexability, site speed, and mobile usability.
• On-Page SEO: Optimize on-page elements like meta tags, content layout, internal linking, and keyword placement.
• Link Building: Implement link-building campaigns to enhance domain authority and search performance.
• Website Launch Planning: Lead SEO strategies for new site launches or redesigns to ensure optimal visibility.
• Content Optimization: Collaborate with content teams to ensure content meets SEO guidelines and user intent.
• Team Leadership: Mentor and manage SEO team members; align goals and track team performance.
• Performance Tracking: Use tools like Google Analytics, Search Console, and Data Studio to report and optimize SEO performance.
• Stakeholder Communication: Present strategy updates, progress reports, and ROI insights to internal stakeholders.
• Ownership: Take full accountability for SEO growth and continuously drive innovation and performance improvements.

Requirements:

• 5+ years of proven SEO experience, preferably in B2B SaaS or outsourcing domains
• Expertise in technical SEO and on-page/off-page optimization
• Proficiency with tools like SEMrush, Ahrefs, Screaming Frog, Google Search Console, and Google Analytics
• Strong data analysis skills with an ability to convert insights into actions
• Familiarity with HTML, CSS, and web development fundamentals
• Excellent communication skills (written and verbal)
• Experience managing or mentoring SEO teams is a plus
• Bachelor's or Master's in Marketing, Communications, or equivalent experience
• Up-to-date knowledge of the latest SEO and Google algorithm changes

Success Metrics:

• Improved organic search rankings for strategic keywords
• Increased organic traffic and qualified B2B leads
• Enhanced site technical health and usability
• Growth in quality backlink acquisition
• Positive performance and development of SEO team

Good to Have:

• Deep understanding of recruitment funnel strategies and SEO’s role in candidate acquisition
• Knowledge of lead generation for B2B HR Tech, BPO, BPM, and staffing services
• SEO strategy experience for outsourcing verticals like customer support, data processing, and F&A
• Expertise in targeting global regions like US, UK, APAC for outsourcing services
• Familiarity with multilingual SEO and geo-targeted optimization strategies
• Proven impact in competitive BPO/BPM lead generation campaigns
• Experience collaborating with marketing teams in BPO/BPM sectors for SEO-driven client acquisition

Game designers create the concepts and worlds of video games. They are involved with the design of the environment, story, characters, objectives and user experience of video games. 

Role and Responsibilities

They may be expected to deliver the following:

• Design and develop the original concept
• Construct level structure
• Storyboard the action of the game
• Conceive every element of the game including rules, setting, objects, vehicles, weapons, flora, fauna, etc, 
• Define user interface, menus and controls
• Generate the Game Design Document (GDD)
• Develop early prototypes
• Decide on the devices and platforms on which the game is played 
• Define the user experience 
• Work with programmers to design the back end of the game
• Research target audience to understand what they want in the game
• Lead the development process
• Produce sound effects, dialogue, musical score, sound mix and sound edit
• Manage quality assurance testing, and follow up on feedback
• Oversee the marketing and distribution roll-out
• Ongoing development and versions of the game

Game Designers should have a solid knowledge of 3D animation, illustration And programming languages.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools
  • Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Role: Technical Lead

Location: Mumbai/Kolkata

Years of Experience - 9 to 15 years

Qualifications:

• Required person as .net core, team Management,Good communication,Plus Rest API,AWS Lambda,mySql
• AWS API Gateway .
• Bachelor’s degree preferably in Computer Science, Computer Engineering or related field.
• 9 to 12 yrs years’ experience in technology related roles including relevant work as technical architect.
• Experience working with latest software technologies (.Net core 3.1+, MVC/WCF/Web API, cloud hosted (AWS) , mobile ready software products (Angular 6+/React.js)
• Experience in AWS cloud.
• Experience working with GIT/TFS, CI/CD setups, Application Monitoring, Logging and Analysis tools
• Experience working with Service Oriented Architecture
• Experience working in an Agile-SCRUM environment using tools like Jira or equivalent
• Experience working with international customers (US and UK preferable)
• Experience in customer interaction and ability to present solutions and consult clients on technology solutions.
• Ability to effectively communicate with various levels of employees ranging from entry level to senior leadership.
• Proven strong relationship-building and communication skills with team members and business users. Ability to coach and mentor internal teams and customers.
• Highly motivated with excellent verbal and written communication, presentation, facilitation, negotiation and problem solving skills.
• Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes.
• Willingness and ability to work flexible hours and with minimal supervision.  
• Willingness and ability to travel domestic and occasional international across US and Europe.
• Proficient using standard software, such as MS Office applications, Google Apps, and communication and diagramming/presentation tools.

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.