Engineering Manager

Company Description

Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that specializes in digital services for startups to fortune-500s. We work closely with our clients to create a comprehensive soul for their brand in the online world, engaged through multiple platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think out of the box or tread the un-trodden path in order to deliver the best results for our clients. We pride ourselves on Practical Creativity where the idea is only as good as the returns it fetches for our clients.

Role Overview

The Social Media Executive will manage end-to-end social media execution for multiple brands. This includes planning content, contributing to content IPs, coordinating with creative teams,

analysing performance, and continuously improving content outcomes. This role requires strong platform understanding, tool proficiency, and structured execution.

Key Responsibilities

● Own and execute monthly social media content calendars

● Contribute to ideation and development of content IPs and recurring formats

● Coordinate with designers, video editors, and copywriters

● Schedule and publish content across platforms

● Monitor content performance and derive actionable insights

● Optimise content based on data and platform trends

● Support campaign launches and paid social initiatives

● Participate in on-camera content when required

Tools You Should Be Comfortable With

Scheduling & Publishing

● Meta Business Suite

● Hootsuite, Sprout Social, Later, or Buffer

Analytics & Reporting

● Instagram Insights

● Meta Ads Manager (basic understanding)

● Sprout Social or Hootsuite Analytics

● Google Analytics (basic content tracking)

Planning & Collaboration

● Notion or Google Sheets for content calendars

● Slack or Teams for internal communication

● Drive or Dropbox for asset management

Creative & Support Tools

● Canva or Figma (basic usage for quick edits)

● Trend tracking tools or manual social listening

Skills Required

● Strong understanding of Instagram, LinkedIn, and short-form video formats

● Ability to interpret analytics and optimise content

● Clear communication and coordination skills

● Good copy sense and storytelling ability

● Organised and process-driven approach

Requirements

● 1 to 3 years of social media experience

● Experience handling multiple brands or accounts

● Camera friendly is a plus, not mandatory

● Exposure to performance marketing is a bonus

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

What you'll do:

• Partner closely with Product Design, Engineering, and Product Management to understand requirements and deliver product features and roadmap as envisioned by stakeholders.
• Own end-to-end user journey and all aspects of design execution from ideation, to prototyping, to user acceptance testing of product design tasks assigned.
• Conduct user interviews, user testing sessions, card sorting, affinity mapping, conduct both qualitative and quantitative tests, and analyze the data.
• Design high-impact, functional responsive interfaces for web and mobile
• Collaborate with other designers and participate in our design critique process, to receive and provide feedback on design work
• Manage and contribute to Kaizen - Beaconstac's Design System

Skills you bring to the table:

• Experience in designing SaaS products with large customer bases
• Deep expertise using Figma/Xd/Sketch, and familiarity with design systems
• Knowledge of Carbon - IBM's Design system or experience building a design system from scratch is a plus.
• Fundamental understanding of the end-to-end iterative UX design process — research, ideation, information architecture, prototyping, validation, and refining solutions into pixel-perfect deliverables.
• Ability to articulate design decisions throughout the user-centered design process.
• Ability to update and engage with stakeholders like product managers and engineers.
• Relevant fundamental knowledge of front-end technologies to collaborate with UI engineering teams will be an advantage.

Are you passionate about gaming? Join our team and dive into the world of esports! We're looking for gamers of all levels to participate in free matches on our esports platform. Whether you're a casual player or a seasoned pro, there's a place for you here. 

Requirements:

• Minimum 100 hours of gaming experience. 
• Ability to work in a team and communicate effectively with other players. 
• Enthusiasm for gaming and a willingness to learn and grow. 

Responsibilities:

• Participate in free matches on the esports platform for 1-3 hours daily.
• Collaborate with other players to improve skills and achieve better results.

Benefits:

• Salary: $100 - $300 depending on performance. 
• Flexible work schedule, work from home. 
• Possibility of temporary employment on a contract basis. 
• Opportunities for advancement and development in the esports industry.

🎮 Gaming exp: 100+ hrs

💵 Salary: $100-$300

🏠 Remote: work from home 

🗓 Schedule: self-managed 

• Creating detailed and well-structured test plans and test cases
• Writing manual test cases for the application against the requirements
• Handling the testing project independently
• Developing and applying testing processes for new and existing products to meet client needs
• Performing thorough regression testing when bugs are resolved
• Troubleshooting quality issues and modifying test procedures
• Verifying test result and logging defect in the tool

Desired Candidate Profile

• Bachelor's degree in Computer Science or related technical discipline
• Must have 2- 4 years of manual testing experience in Embedded Systems
• 3-6 years Embedded QA engineering experience
• Expertise in Functional and System Testing
• Experience in communication protocols such as SPI, I2C etc
• Experience in handling the LAB equipments for the embedded devices
• Strong hands-on in embedded product testing
• Knowledge of Audio Testing is an added advantage
• Strong knowledge of software QA methodologies, tools and processes
• Strong written and oral communication skills
• Problem solving and analytical skills
• Self-motivation with the ability to drive features to delivery
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly    

• Having working experience in Service based company
• Having Engineering as bachelor degree is must
• Experience working ecommerce platform
• Soft spoken and good listener
• Good with Quant and reasoning
• Understanding of agile and scrum
• Good with commitment
• Integration of user-facing elements developed by front-end developers with server side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions
• Strong proficiency with JavaScript
• Good understanding of server-side CSS preprocessors
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git