Digital Marketing Specialist

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

• Research and identify potential clients, markets, and growth opportunities
• Assist in reaching out to leads via email, calls, or LinkedIn
• Support the sales team in creating proposals and pitch decks
• Help manage CRM tools, databases, and sales reports
• Work on partnerships, collaborations, and onboarding processes
• Participate in strategy discussions and brainstorming sessions

About the job

Caprae Capital Partners - Undergrad Private Equity Internship Job Description (10 hours/week)

Caprae Capital Partners s is a private equity fund led by the principal Kevin Hong who has been a serial tech entrepreneur, and who grew two startups to $31M ARR and $7M in revenue. The fund originated with two additional tech entrepreneur friends of Kevin who have had ~8 figure and ~9 figure exits to Twitter and Square, respectively. The fund is now looking for additional opportunities that would be a good fit.

If you have a passion for finance, particularly private equity, as well as ESG and happen to be a mission-driven person, this is a great fit for you. Additionally, given the recent expansion of this particular firm, you will have the opportunity to work from the ground level and take on a leadership role for the internship program which would result in a paid role. Lastly, this is also a great role for those who are looking into strategy and consulting roles in the future as it will give you the exposure and experience necessary to develop strong business acumen.

Description of the Work

● Contribute ideas regarding industries in which to look for target companies - based on fund’s search criteria

● Research industries to assess attractiveness (growth, profitability, trends, fragmentation, investment thesis)

● Contact companies to set up phone meetings

● Work closely with the executive team, and product/project management team to help bring on vendor partners and integrate their services into our software

● List and evaluate potential M&A opportunities in select markets

● 16-week internship but those who are selected may extend their internship and will have the opportunity to resume the internship as a paid intern if performance is good

● Those who make it to a paid intern have an opportunity of getting a FT offer

Ideal Candidate

● Must be an undergraduate student with a career interest in Finance, Private Equity, Banking, Corporate Strategy, or Market Research

● Strong research and analysis skills

● Intellectually mature, able to understand screening criteria, then make subjective judgments to recommend target companies. Able to deliver accurate work, per committed dates, to a senior executive.

● Ability to talk to company owners credibly

● Strong social skills and willingness to travel if needed and/or qualifications are met

● Additional language skills are a huge plus

● Website: www.capraecapital.com

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Requirements:

• 3.3+ GPA

Very strong core Java/Spring developer

• Decent experience in implementing observability (monitoring/alerts) for Java apps

• Working experience in using CI/CD pipelines.

• Capable of working with scripting languages.

• Knowledge of Tibco BW is optional and we can upskill him in case he has other desired skills.

Full Stack Developer

This position would design scalable, efficient and maintainable software architectures using Node.js

We are building a online platform for millennial and gen z moms and parents to surround them with support at every step of their parenting journey, right from planning a baby to 12 years of child. We would like to be their trusted 24*7 parenting guide, prepare for every new moment just in time and make every need available at a click of a button. With 90k+ babies born every day and increasing number of working mothers in urban nuclear India, our vision is to create a world of healthy pregnancies, thriving children and confident parents.

Founded by ex-3M, Gillette, Cargill folks, we have are moving fast now :-

·      50K installations in last 6 weeks

·      > 2 Million hits on the content site since going live in early 2021

·      Raised 2 rounds of investment

About the Role

Technical:-

·      Architect and Design: Collaborate with cross-functional teams to design scalable, efficient, and maintainable software architectures using Node.js.

·      Backend Development: Develop and maintain server-side applications and APIs using Node.js, ensuring high performance, responsiveness, and security.

·      Code Implementation: Write clean, well-organized, and documented code that aligns with best practices and coding standards.

·      Database Management: Hands-on experience, with MongoDB

·      Troubleshooting and Bug Fixing: Identify and resolve technical issues, bugs, and performance bottlenecks promptly.

·      Code Reviews: Conduct thorough code reviews to ensure code quality, maintainability, and adherence to architectural guidelines.

·      Performance Optimization: Analyse and optimize application performance through profiling, tuning, and implementing best practices.

·      Technology Evaluation: Stay up-to-date with the latest trends and advancements in Node.js and related technologies, and make recommendations for technology adoption

Non-Technical:-

·      Collaboration: Collaborate with frontend engineers, product managers, and other stakeholders to deliver seamless end-to-end features and enhancements.

·      Mentorship: Provide guidance and mentorship to junior developers, sharing your knowledge and expertise in Node.js development.

What you have to offer

Must-Have:-

·      Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

·      Minimum of 4-5 years of professional experience in backend development, with at least 2-3 years focused on Node.js.

·      Strong proficiency in Node.js and JavaScript, including asynchronous programming, event-driven architecture, and familiarity with frameworks like Express.js.

·      Experience working with databases such as MySQL, MongoDB, or PostgreSQL, including database design and optimization.

·      Proficiency in version control tools (e.g. Git) and collaborative development workflows.

·      Solid understanding of RESTful API design principles and best practices.

·      Excellent problem-solving skills and the ability to debug complex issues.

Good To Have :-

·      Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·      Prior experience with frontend technologies (HTML, CSS, React, etc.) is a bonus.

·      Contributions to open-source projects, tech blogs, or relevant certifications are advantageous.

·      Experience with containerization technologies like Docker and orchestration tools like Kubernetes is a plus.

We are on a hunt for enthusiastic campus ambassadors  who can be the representative of our products and services on their college campus and make our presence felt.

Skills Required

• Strong Interpersonal Skills
• Strong Self Motivation
• Fluency in English
• Convincing Ability

Roles and Responsibilities

• Becoming the on-campus brand spokesperson for Spacenos
• Creating awareness about all our products and services..
• Acting as an influencer and the go-to person for information on our products.
• Organizing Whatsapp group discussion within the college
• Conducting college events and seminars to grow our presence. 

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

1. Apply for your CV and past work to be reviewed.
2. Receive a telephonic interview or assessment upon filling the final step form.

3. Receive offer letter if selected.

Our hiring process takes less than 24 hours from the time you receive the Final Step form.

Validity: Up to Dec 2023

- Apply soon, the earliest applicant would be preferred over the late applicants.

• Collaborate with both internal and external stakeholders to develop digital asset management strategy, integrating the DAL into all relevant business processes

• Master the organization’s digital asset management platform, managing user access, and providing support and training to help ensure accessibility and ease-of-use for both internal and external stakeholders

• Maximize discovery of digital assets by enhancing digital assets with metadata that follows established guidelines and is consistent with business objectives.

• Support lifecycle of image assets after creation, including ingesting, archiving and expiration within DAL and PIM System.

• Responsible for how internal/external stakeholders and qualified external collaborators can access, use, and interact with the company’s digital assets.

• Contribute to the development and implementation of workflows for DAL while documenting best practices and monitor implementation.

• Generate asset reports and conduct audits to maintain and ensure accurate digital asset procedures and policies in both PIM and DAL

• Excellent interpersonal, communication, and team-facilitation skills Strong analytical and problem-solving skills.

• Previous experience with product attribute data, Previous experience with data mapping and data validation.

• Previous experience with digital asset management, Knowledge or and ability to perform data gathering, analysis and process flow design

• Knowledge of SAP a plus, Basic project management skills a plus

• Immediate to advanced skills in Excel required ,Experience with both agile and waterfall project software development methodologies.

• Strong experience in user testing and project management.

• DAM/DAL with major platforms (Widen) a plus.

• Must be detail oriented with strong analytical skills.
• Must be able to work in a fast-paced environment with the ability to manage multiple priorities and multiple deadlines.