Performance Marketing Specialist

Job Title: Production Lead – Marketing & Creative (D2C)

Location: Jaipur

Experience: 5–10+ years in video production, ad creation, D2C brand content

Department: Marketing & Creative

Employment Type: Full-time

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About the Role

We are looking for a highly capable, creative, and execution-driven Production Lead who can convert scripts into powerful, high-performing video ads. This role demands someone who understands D2C brand storytelling, social media content formats, UGC-style videos, testimonials, monologues, product showcases, and performance-first ads.

You will lead a full in-house + freelance ecosystem of video editors, cinematographers, actors, influencers, and production partners—ensuring timely, high-quality output across all marketing channels.

The ideal candidate comes from D2C brands, creative agencies, or production houses, with hands-on experience producing fast-paced digital content.

Key Responsibilities

1. Full Production Ownership

-Take scripts from the creative team and convert them into complete shoot & production plans.

Execute:

-UGC videos, Testimonials, Monologue-style ads, Product shoots, Feature/USP-based videos, Review-style ads, Brand intro films, Showreels, Short ads, reels, and performance creatives, TVCs

-AI-based content (AI voiceover, AI characters, AI video formats)

-Ensure editing, sound, transitions, branding, and storytelling are done to perfection.

2. Team & Talent Management

-Manage and mentor: Video editors, Cinematographers, Actors & Models, UGC creators, Influencers

-Production assistants & freelancers

-Hire and train new team members based on evolving content needs.

-Maintain a reliable network of production talent and agencies.

3. Creative Direction & Quality Control

-Translate scripts into strong visual stories aligned with D2C performance goals.

-Review raw footage, edits, and final versions to ensure top-tier quality.

-Ensure every video communicates the right message and drives measurable impact.

-Maintain consistency in tone, pacing, aesthetics, and brand voice.

4. Operational Excellence

-Prepare shoot schedules, call sheets, timelines, and execution plans.

Manage equipment, locations, permissions, budgets, and logistics.

-Ensure fast turnaround without compromising creative quality.

-Coordinate closely with scriptwriters, designers, and marketing teams.

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Required Skills & Experience

5–10+ years in production roles within D2C brands, creative agencies, or digital-first companies.

Proven experience managing end-to-end video production for:

Social media ads & reels, UGC content, Testimonial videos

On-camera monologue ads, Product demo & feature videos

Review-style content, Brand videos & showreels, Influencer content

TVCs, AI-led content formats

Deep understanding of performance-focused storytelling for digital ads.

Strong knowledge of video editing workflows, basic cinematography, lighting, sound, and post-production.

Exceptional leadership and project management skills.

Ability to manage multiple shoots and deadlines simultaneously.

Senior Data Engineer

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

Overview

We at PEMS digital aim to create a smarter, greener tomorrow for you, with your expertise. All of us are guided by

finding and employing efficient data handling to push the frontiers of human engagement, whether it be with

infrastructure, mobility, logistics or the myriad of other industries we hope to expand into. We believe in visualizing

the technology of tomorrow today, and thus, priorities the attitudes of collaboration, creation and adaptability to

create an ecosystem that will foster talent.

Role Overview:

We are seeking a dynamic and motivated Presales (Inside Sales) Intern to join our team for a 3-month internship.

This role is perfect for individuals looking to gain hands-on experience in sales processes, client engagement, and

lead generation

Key Responsibilities:

 Conduct market research to identify potential clients and key decision-makers.

 Assist in lead generation and prospecting activities using various tools and platforms.

 Reach out to prospects via calls, emails, and social media to introduce company products/services.

 Support the sales team in preparing proposals, presentations, and sales collateral.

 Schedule meetings and product demos for the sales team.

 Maintain and update CRM systems with accurate lead and customer information.

 Collaborate with marketing to align lead generation efforts with campaigns.

 Track and report on outreach and lead generation metrics.

Qualifications:

 Pursuing or recently completed a degree in Business, Marketing, Sales, or a related field.

 Strong communication and interpersonal skills.

 Basic understanding of sales principles and customer relationship management.

 Self-motivated, goal-oriented, and eager to learn.

 Ability to multitask and manage time effectively.

What You'll Gain:

 Hands-on experience in presales and inside sales processes.

 Exposure to sales tools and CRM platforms.

 Opportunity to develop client engagement and communication skills.

 Mentorship and guidance from experienced sales professionals.

 A chance to convert the internship into a full-time role based on performance.

IT Asset Management (Hardware and Software), Configuration, Implementation and Integration with third party systems.

IT Asset Management –

• Develop Lifecycle Management Policies, Processes, Procedures, Compliance, Governance and Documentation based on ITIL best practices.
• Have experience in Jira Configuration and Asset Management. Configuration of dashboards and reports.
• Have worked as Jira Admin and designed workflows for PM,SM & Asset Management.
• Must have handled Asset management project in past and configured the required workflows & lifecycle management.
• Deploy service assets and configuration management processes and ensure these ones are fit for purpose and operational at any time.
• Anticipate future IT needs versus existing infrastructures architecture, perform impact assessments, and investigate design options.
• Maintain the asset and configuration management databases (AMDB & CMDB) and ensure completeness and correctness, act on any potential issues.
• Monitor services assets (e.g. laptop, token, etc.) ensure compliance as needed. Produce technical documentation, reports, data analysis, etc. and identify opportunities for improvement and automation.
• Lead and organize processes controls and reviews on a periodic basis to ensure that the hardware overall services are running according to the defined standards. Follow latest evolutions in field of expertise and share best practices within the internal community.
• Carry out any other task in line with the main purpose of the job.
• Provide Asset Management training to the customer Ensure compliance with relevant regulations and standards.
• Preference: HealthCare domain

Responsibilities:

- Manage end-to-end interactions with prospective customers.

- Deliver tailored product demos to multiple stakeholders.

- Understand customer problem statements and follow a consultative sales process to offer solutions.

- Use sales acceleration tools to perform outbound and inbound sales.

- Research accounts to understand the customer's needs, perform effective follow-up, and generate interest.

- Unearth new sales opportunities through networking.

- Build strong relationships and effectively communicate with the sales, support, and marketing teams.

Requirements

- Have 2+ years of successful experience in SaaS Sales.

- Have been in a quota-carrying role.

- Obsessed with prospect happiness and can set the stage for effective sales follow-up.

- Have excellent verbal & written communication skills.

- Flexible - things change around here. FAST.

4-5 years of overall experience in software development.
- Experience on Hadoop (Apache/Cloudera/Hortonworks) and/or other Map Reduce Platforms
- Experience on Hive, Pig, Sqoop, Flume and/or Mahout
- Experience on NO-SQL – HBase, Cassandra, MongoDB
- Hands on experience with Spark development,  Knowledge of Storm, Kafka, Scala
- Good knowledge of Java
- Good background of Configuration Management/Ticketing systems like Maven/Ant/JIRA etc.
- Knowledge around any Data Integration and/or EDW tools is plus
- Good to have knowledge of  using Python/Perl/Shell

Please note - Hbase hive and spark are must.

• You will be building and shipping robust apps to Android/ iOS devices using a single codebase.
• You will be writing readable and clear code using Dart that will be extensively documented for future use and upgrades.
• You will be sharing feedback and brainstorming ideas with teams to improve the development process.
• Understand basic concepts of design for developing user friendly applications.
• Stay up to date with the latest technologies.

• Experience in development of Android/iOS applications and have deployed them on Google Play/App Store.
• 1+ years knowledge in mobile app development.
• In depth understanding of front end languages like HTML, CSS3 and JavaScript.
• In depth understanding of Object Oriented programming languages like Java and C++.
• Familiarity using version control tools like Git, Subversion etc. and IDEs like Android Studio, VS Code etc.
• Understanding of the Agile Software Development Life Cycle and been exposed to Scrum projects.
• Knowledge of Dart programming language, Rest APIs and integration of various APIs from third parties.
• Comfortable using test cases for debugging code, enhancing performance and reliability.

• Ability to handle and build integration of mobile apps with third-party systems,
• developing Android and iOS apps
• using Flutter, Dart, Rest APIs, Angular, jQuery, Ionic

• 5 days working
• Flexible Office Hours
• Health Insurance