
Meta (Facebook) Media Buyer — Direct-Response / Performance
We're a performance ad agency hiring a Meta (Facebook/Instagram) media buyer to own client accounts end-to-end in competitive, restricted direct-response verticals.
What you'll do:
- Launch, optimize, and scale Meta campaigns across client accounts
- Own the numbers — CPL, CPA, ROAS, and profitable scaling
- Manage tracking (Pixel/CAPI), creative testing, and daily monitoring
- Communicate directly with clients
You're a fit if you:
- Have run Meta direct-response campaigns independently for 2+ years
- Think in CPA/ROAS and can scale profitably, not just launch
- Are comfortable in competitive, policy-sensitive niches
- Use AI/automation in your workflow, and work without hand-holding
We provide the full stack — accounts, tracking, budgets, creatives, and a content team — so you focus purely on buying and scaling. Remote, full-time.
To apply, answer this: walk us through one campaign you scaled — the starting CPA, the 2–3 changes you made, and the ending number.

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Job Description – Senior Marketing Leader / Head of Marketing (IntraIntel.ai, Global)
About IntraIntel.ai
IntraIntel.ai is an enterprise AI platform for intelligent workflow automation, delivering instant intelligence from organizational data without migration. The platform’s multi‑agent architecture automates complex workflows in healthcare, manufacturing, finance and research, reducing manual effort and generating significant cost savings. We partner with customers across sectors to deploy AI agents that generate deep insights, automate compliance, and streamline operations.
Role Summary
The Marketing Executive will own IntraIntel.ai’s market strategy and execution in India, working as part of a global marketing team. This position requires a strategic thinker and hands‑on leader who can craft compelling narratives about end‑to‑end AI platform value, identify high‑potential customer segments, and drive demand generation across channels.
Key Responsibilities
- GTM Strategy & Positioning: Develop and execute a data‑driven marketing strategy that aligns IntraIntel’s AI‑native platform and multi‑agent architecture with market needs Define triggers and leading indicators for pipeline creation, including industry events, regulatory deadlines, and emerging technology trends.
- Segmentation & Targeting: Identify and prioritize verticals (healthcare, clinical trials, finance, manufacturing, textiles, etc.) where the platform’s workflow automation and cost‑reduction capabilities offer maximum benefit. Develop buyer personas (C‑suite, clinical leaders, compliance officers, manufacturing heads) and craft tailored messaging.
- Channel & Campaign Management: Determine the optimal mix of channels (digital marketing, content, partnerships, events, thought leadership) to reach decision‑makers. Build multi‑channel campaigns and refine them through ongoing analysis
- Demand Generation & Lead Nurturing: Drive inbound and outbound marketing programs to build a qualified pipeline; use marketing automation and CRM tools to track conversions, nurture leads and measure ROI.
- Product Marketing & Storytelling: Translate complex AI concepts (LLMs, agents, vector search, RAG) into clear value propositions. Create collateral, case studies, demos, webinars and industry presentations that showcase the platform’s ability to consolidate siloed AI tools into a single end‑to‑end solution.
- Sales Enablement & Customer Engagement: Work closely with sales and solution engineering to enable smooth handoffs. Support customer conversations, demo sessions and proof‑of‑concept engagements. Become a trusted advisor to prospects by understanding their business and identifying fit.
- Partnerships & Relationship Development: Build relationships with industry associations, channel partners, and potential enterprise customers in India, the U.S. and Dubai. Bring existing executive‑level connections to accelerate market entry and establish IntraIntel’s reputation.
- Market Intelligence & Competitive Analysis: Monitor competitive offerings, industry regulations and emerging AI technologies. Generate insights that influence product strategy and roadmap
- Performance Measurement: Define key performance indicators (KPIs) for lead generation, conversion, revenue, brand awareness and customer satisfaction. Report regularly on marketing performance and adjust tactics to meet targets.
Qualifications
- Proven Marketing Leadership: 8–12 years in B2B SaaS marketing, including at least 3–5 years owning GTM strategy and execution. Demonstrated ability to develop multi‑channel campaigns and collaborate with cross‑functional teams
- AI/Technology Domain Expertise: Understanding of AI platforms, machine learning, LLMs and workflow automation. Experience marketing complex technical products to both technical and business audiences.
- Industry Exposure: Direct or indirect experience in healthcare, clinical research, manufacturing, finance or related sectors. Ability to understand regulatory contexts and decision‑making structures across these industries.
- Global Mindset: Experience marketing to U.S. and Indian enterprises (knowledge of Dubai/GCC market is a plus). Ability to localize messaging without losing global consistency.
- Relationship Builder: Strong network of senior contacts in relevant industries. Confidence interacting with CEOs, CTOs and CIOs; comfort delivering high‑stakes demos and presentations.
- Analytical & Results‑Driven: Proficient in data analysis, market research and marketing automation tools. Track record of achieving or exceeding pipeline and revenue targets through marketing initiatives
- Communication & Collaboration: Excellent written and verbal communication skills. Ability to translate technical concepts into business value. Effective collaborator across product, sales, engineering and executive teams.
- Education: Bachelor’s degree in Marketing, Business or a related field; an MBA or equivalent advanced degree is preferred.
Performance Expectations & KPIs
- Demand Creation: Meet or exceed quarterly targets for qualified leads and opportunities.
- Pipeline Contribution: Deliver measurable contribution to revenue through marketing‑sourced pipeline.
- Market Awareness: Achieve growth in brand visibility, share of voice and thought leadership within targeted industries.
- Campaign Effectiveness: Improve conversion rates across the marketing funnel; demonstrate ROI for each channel.
- Customer Insights: Provide feedback on customer pain points, competitive intelligence and feature requests to the product team.
- Team Collaboration: Maintain strong alignment with sales, product and customer success teams.
Additional Notes
This role offers the opportunity to build a marketing function from the ground up in a fast‑growing AI company. The successful candidate will have a blend of strategic vision, hands‑on execution capability, and a passion for AI‑enabled digital transformation.
DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.
About the Role:
As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.
Key Responsibilities:
- Data Ingestion and Preparation:
- Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
- Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
- Exploratory Data Analysis (EDA):
- Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
- Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
- Feature Engineering:
- Create relevant features from raw data to enhance model performance and interpretability.
- Explore techniques like feature selection, normalization, and dimensionality reduction.
- Model Development and Training:
- Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
- Evaluate model performance using appropriate metrics and iterate on the modeling process.
- Model Deployment and Monitoring:
- Deploy trained models into production environments using GCP's ML tools and infrastructure.
- Monitor model performance over time, identify drift, and retrain models as needed.
- Collaboration and Communication:
- Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
- Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.
Required Skills and Qualifications:
- Strong proficiency in Python or R programming languages.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
- Familiarity with machine learning algorithms and techniques.
- Knowledge of data visualization tools (e.g., Tableau, Looker).
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong communication and interpersonal skills.
Preferred Qualifications:
- Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
- Knowledge of distributed systems and scalable data architectures.
- Experience with natural language processing (NLP) or computer vision applications.
- Certifications in Google Cloud Platform or relevant machine learning frameworks.
Sales Development Representative
About LambdaTest
We are the only cloud-based testing platform aimed at bringing the whole testing ecosystem to the cloud. Today we have a powerful cloud network of 2000+ real browsers and operating systems that help testers in cross-browser and cross-platform compatibility testing.
Our Mission
On a mission to provide the most powerful, cutting-edge, comprehensive, and secure cloud test platform to empower software
testers & developers globally to perform testing intelligently at scale.
Our Vision
We envision an integrated platform where professionals can rely to perform and manage all types of tests without being limited by infrastructure dependency. So people could focus on things that matter the most, i.e. their tests.
Our Journey
Year Founded: 2017
Team Members: 155+
Users: 500K+
Growth MOM: 10%
About the Team
We are a dynamic team that works in a fast-paced environment, ambitious to make a huge impact. Aligned with the company’s vision and strategy, the cross-functional teams work closely to build cutting-edge SaaS products that enable software developers & testers globally to perform testing intelligently at scale. Default to transparency, we
Share stories of our successes, failures, challenges, and interests
so that we can learn from and support one another.
Description:
We are in search of a proficient and experienced Sales Development Representative to help us grow our business. As an SDR, you will be seeking new business prospects by contacting and developing relationships with our prospective customers. You will act as the first point of contact for our company.
Responsibilities
- Serve as the inside sales representative, connecting with as many leads as possible determining if they’re good customer fits, and being a true LambdaTest evangelist
- Fully focused on outreach, prospecting, and lead qualification
- Should always prioritize tasks based on (prospect’s/ customer’s) response, interest, and business needs CRM hygiene documents all calls/ emails/ activities on the CRM system and provides appropriate forecasts to the sales management
Requirements
- 4 years of Sales/ SDR/ Market Research/ Lead Generation/ Cold Calling experience in SaaS industry is a must.
- B.Tech in C.S, I.T, or related field is a plus
- Fluent in English written and spoken with a passion for technology
- Functional experience in prospecting tools and CRM platforms, like Sales Navigator, Outreach, Zoom info, ZOHO, SFDC etc
- Proficient in lead generation and appointment setting via cold calling, email campaigns, LinkedIn connects, etc
- Exceptional prospecting, discovery and qualification skills.
- Should be able to connect and develop relationships with CXO-level
- executives over the phone/ con-calls
- Must be organised, articulate and detail-oriented with the ability to multitask in a dynamic, fast-changing environment
- Experience working in a rapidly growing, fast-paced organisation selling
- SaaS solutions to enterprise companies.
- Strong business acumen, ethics and high integrity
InfoGrowth is looking for a skilled Android Automotive OS Developer with 7+ years of experience in the automotive domain to join our cutting-edge team! If you're passionate about integrating technology with automotive systems and developing next-gen in-car infotainment solutions, this is the role for you.
Key Responsibilities:
- Develop and maintain applications for Android Automotive Operating System (AAOS), the Android-based infotainment system built directly into vehicles.
- Collaborate with automotive partners to integrate and optimize Google Automotive Services (GAS), including Google Maps, Play Store, and Google Assistant.
- Leverage your knowledge of vehicle signals and communication protocols to ensure smooth integration and performance of in-car apps.
- Work closely with cross-functional teams to deliver high-quality infotainment solutions for next-generation vehicles.
- Troubleshoot and optimize Android applications for automotive-specific use cases.
Key Skills:
- 7+ years of experience in Android development, with hands-on experience in the automotive domain.
- Strong knowledge of Android Automotive OS (AAOS) and Google Automotive Services (GAS).
- Expertise in vehicle signals and communication protocols.
- Proven experience in developing apps for in-car infotainment systems.
- Ability to collaborate with automotive engineers, testers, and designers to develop seamless solutions.
What we look for:
We are looking for an associate who will be doing data crunching from various sources and finding the key points from the data. Also help us to improve/build new pipelines as per the requests. Also, this associate will be helping us to visualize the data if required and find flaws in our existing algorithms.
Responsibilities:
- Work with multiple stakeholders to gather the requirements of data or analysis and take action on them.
- Write new data pipelines and maintain the existing pipelines.
- Person will be gathering data from various DB’s and will be finding the required metrics out of it.
Required Skills:
- Experience with python and Libraries like Pandas,and Numpy.
- Experience in SQL and understanding of NoSQL DB’s.
- Hands-on experience in Data engineering.
- Must have good analytical skills and knowledge of statistics.
- Understanding of Data Science concepts.
- Bachelor degree in Computer Science or related field.
- Problem-solving skills and ability to work under pressure.
Nice to have:
- Experience in MongoDB or any NoSql DB.
- Experience in ElasticSearch.
- Knowledge of Tableau, Power BI or any other visualization tool.
lesser concentration on enforcing how to do a particular task, we believe in giving people the opportunity to think out of the box and come up with their own innovative solution to problem solving.
You will primarily be developing, managing and executing handling multiple prospect campaigns as part of Prospect Marketing Journey to ensure best conversion rates and retention rates. Below are the roles, responsibilities and skillsets we are looking for and if you feel these resonate with you, please get in touch with us by applying to this role.
Roles and Responsibilities:
• You'd be responsible for development and maintenance of applications with technologies involving Enterprise Java and Distributed technologies.
• You'd collaborate with developers, product manager, business analysts and business users in conceptualizing, estimating and developing new software applications and enhancements.
• You'd Assist in the definition, development, and documentation of software’s objectives, business requirements, deliverables, and specifications in collaboration with multiple cross-functional teams.
• Assist in the design and implementation process for new products, research and create POC for possible solutions.
Skillset:
• Bachelors or Masters Degree in a technology related field preferred.
• Overall experience of 2-3 years on the Big Data Technologies.
• Hands on experience with Spark (Java/ Scala)
• Hands on experience with Hive, Shell Scripting
• Knowledge on Hbase, Elastic Search
• Development experience In Java/ Python is preferred
• Familiar with profiling, code coverage, logging, common IDE’s and other
development tools.
• Demonstrated verbal and written communication skills, and ability to interface with Business, Analytics and IT organizations.
• Ability to work effectively in short-cycle, team oriented environment, managing multiple priorities and tasks.
• Ability to identify non-obvious solutions to complex problems
This is a contract-based job for 2 months, but we may also offer a full-time job based on the performance.
Job Description:
- Proficient in Node with Express.Js as a framework.
- Must have hands-on experience in Databases. (MongoDB)
- Proficient understanding of code versioning tools, such as Git
- Hands-on experience in building microservices and processes.
- Building reusable code and libraries for future use
About Digirex:
DIGIREX is an IT consulting and software services company delivering complex custom
software solutions on a variety of technology platforms to organizations across industry verticals.
- Have a high bar for the quality of the product.
- Creative, independent, self-motivated, and willing to learn new technology.
- Possess a good understanding of QA methodologies and processes.
- Strong test planning ability with an understanding of enterprise storage workflows.
- Ability to take up a variety of roles in a startup environment.
- Excellent troubleshooting abilities spanning multiple software and hardware components (such as switches, storage systems, kernels).
- Good knowledge of storage stack, file system internals, and testing tools like fio, fsct, vdbench, dd, specFs etc.
- Strong knowledge of one or more storage protocols like NFS, iSCSI, CIFS, SMB, S3.
- Prior experience of testing storage filers using NFS/SMB/CIFS/S3 is a big plus.
- Experience with distributed systems (databases, storage, map-reduce frameworks, etc.).
- Good understanding of storage performance characteristics.
- Prior work experience in testing enterprise storage products is a must.
- Prior experience of programming, preferably in Go, Python, bash.
- Knowledge of ESXi, HyperV, KVM is a plus.
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Past experience in NodeJs, Redux and other advanced JavaScript libraries and frameworks.
- Hands-on experience in NodeJS, Javascript, ECMAScript (OOJS) and JSX.
- Knowledge of SPAs and build tools like Npm, Webpack, Grunt, Bower etc
- Should have good knowledge of Mobile friendly web application development
- Proficient understanding of web markup, including HTML5, CSS3, Bootstrap, Flexbox.
- Should have the knowledge of Good understanding of asynchronous request handling, partial page updates, and AJAX framework.
- Familiarity with RESTful APIs
- Hands-on experience in server-side CSS pre-processing platforms, such as SASS or LESS
- Proficient understanding of cross-browser compatibility issues and ways to work around them.
- Proficient understanding of code versioning tools, such as Git, Github
Responsibilities :
- Perform all aspects of the software development such as requirements and specifications, design and development, coding and debugging.
- Should be able to come up with strategies to speed up the iterative process of software development.
- Analyse and enhance efficiency, stability, and scalability of system resources
Technovert is a neo solutions company focused on building a product-based solutions and services business in the US Market. One of our products was recently awarded Best Startup Enterprise Product in Hyderabad and we got great many things to accomplish. We are looking for ambitious and passion filled sales professionals to join our team. Please visit www.technovert.com
The Inside Sales Executive is responsible of new business generation in an assigned territory. You will be creating visibility of brand Technovert through high volume outbound/inbound calling, targeted email campaign and networking
Duties and Responsibilities:
- Understand Technovert offerings clearly in order to effectively communicate with prospects
- Know and understand assigned territory
- Validate and Manage assigned Target Accounts on CRM
- Effective Prospecting (via cold calling, inbound calls, emailing and networking)
- To map an account and understand Microsoft foot print within through engaging IT teams/LOB and others at different levels (CXO to Admin)
- Profiling - Tech Influencer, Recommendation/Middle Man and Decision maker
- Tailor pitch according to account/contact profile and effectively engage a prospect (at various stages of sales cycle cold call/follow-up/presentation)
- Qualify by BNTD (Budget Need Timelines Decision Makers)
- Present Technovert value prop over telecon and web sessions to CXO, VP/Dir., LOB Managers as per the account profiling
- Engage Sales team / Support Team as and when needed
- Work closely with Sales Manager and support in engaging with Key Accounts by qualifying prospects and drive new opportunities
- Strives to meet or exceed prospecting goals on daily, weekly, monthly and quarterly basis
- Meet and exceed Quarterly revenue targets
- Weekly/Monthly/Quarterly reports and review
Requirements:
- Graduate
- 2 - 3 years’ experience into IT / Inside Sales in North America
- Exceptional communication skills (specially engaging customers over phone and emails)
- Organized, disciplined and a Hunter by choice
- Open to work in US timings
- Loves to party









