Sales Manager-Edtech-B2B

Review Criteria:

Mandatory:

• Strong Ad Operations Profiles
• 1+ years of hands-on experience in Digital Ad Operations or Programmatic Advertising.
• Practical exposure to DSPs and DV360 for campaign setup, execution, optimization, and reporting.
• Strong understanding of LinkedIn, Meta, and Facebook Ads platforms; ability to coordinate campaign execution per media team plan.
• Proficiency in DoubleClick Campaign Manager (DCM) or similar 3rd-party ad servers for trafficking and tag management.
• Ability to perform QA testing of creative assets, troubleshoot delivery issues, and ensure tracking accuracy.
• Skilled in Excel-based reporting, reconciliation, and campaign data analysis.
• Must have worked in a digital media agency or AdTech environment executing live campaigns.

Preferred:

• Exposure to programmatic buying, audience targeting, and optimization strategies.

Role & Responsibilities:

We are looking for ad operations who will be responsible for the success of the advertising campaigns. This includes accurate building, testing and assignment of advertisements using various ad technologies. This person will also assist in providing support and coverage to global advertising teams as well as ensuring accuracy and security of all ad units.

Key Responsibilities-

Campaign Set-Up and Execution:

• Manage the set-up and execution of advertising campaigns, including generating and testing ad tags for campaign launches.
• Ensure seamless campaign deployment by completing quality assurance and testing of creative assets to verify proper functionality across various browsers.

Technical Adherence and Issue Resolution:

• Ensure that ad creative adheres to technical specifications and promptly troubleshoot any creative issues that may impact implementation, tracking, or reporting.
• Collaborate with internal stakeholders to guarantee the proper set-up and deployment of campaigns, fostering effective communication and alignment.

Collaboration and Reporting:

• Work closely with the Customer Success (CS) team to ensure accurate reporting, optimization, and fulfilment of campaign delivery, facilitating smooth communication and collaboration between teams.
• Maintain meticulous records of creative assets and internal documents related to proposals and campaign execution, ensuring organizational transparency and accountability.

Reconciliation and Optimization:

• Perform reconciliations between media plans and third-party ad delivery platforms to ensure alignment and accuracy.
• Identify opportunities to implement solutions that enhance effectiveness and efficiency in ad operations processes, driving continuous improvement.

Quality Assurance and Testing:

• Conduct thorough quality assurance and testing of creative assets to ensure proper functionality across various browsers and platforms.

Stakeholder Communication:

• Communicate effectively with internal stakeholders to ensure the proper set-up and deployment of campaigns, maintaining alignment with project timelines and objectives.

Ideal Candidate:

• Any bachelor’s degree, Postgraduate or equivalent.
• Minimum Experience 1+ years in the same domain preferably in digital trafficking at a media agency
• Deep understanding of DoubleClick Campaign Manager (experience with other 3rd party ad servers a plus).
• Comfort with Microsoft Excel and ability to consolidate information and work with multiple data points.
• Working on platform like DV360 & DSP mandatory.

Perks, Benefits and Work Culture:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Senior Salesforce Developer will be responsible for designing, developing, and optimizing scalable solutions on the Salesforce platform, with strong hands-on experience in Service Cloud and Lightning Web Components (LWC). The role involves building and customizing service-oriented applications, implementing complex business logic using Apex, and creating responsive, high-performance user interfaces with LWC. The developer collaborates with cross-functional teams to translate business requirements into technical solutions, ensures code quality through best practices and reviews, and integrates Salesforce with external systems via APIs. Additionally, they troubleshoot issues, mentor junior developers, and drive continuous improvement in system performance, security, and user experience within the Service Cloud environment.

Desired Competencies (Technical/Behavioral Competency)

Must-Have

Snowflake, DBT , PL/SQL , Azure/AWS Overall Knowledge , Knowledge on DB Modelling , Knowledge on Data Warehouse concepts , Well versed with Agile Delivery, ETL Tools – Informatica/ADF

Good-to-Have

Azure 900/104/204 Certified, Informatica/SSIS/ADF

SN

Responsibility of / Expectations from the Role

1

Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.

2

Profound experience in designing and developing data integration solutions using ETL tools such as DBT.

3

        Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory

4

Solid MS SQL Server skills including reporting experience.

5

Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.

6

Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.

7

Ensuring root cause resolution to identified problems.

8

Monitor and support the Data Solutions jobs and processes to meet the daily SLA.

9

Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.

10

Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.

11

Follow best practices and standards around data governance, security and privacy.

12

Comfortable working in a fast-paced team environment coordinating multiple projects.

13

Effective software development life cycle management skills and experience with GitHub

14

Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.

15

Data transformation and Data Analytics Documentation

Roles and Responsibilities :-

● Test the overall system using appropriate testing techniques and

instruments.

● Applying the appropriate test measurements and metrics in the product.

● Execute all levels of testing (Integration, Regression and Sanity).

● Design and develop automation scripts when needed.

● Detect and track software defects and inconsistencies.

Skill set required :-

● critical thinking and analytical skills to examine bug reports and prioritize

necessary tests

● Logical and creative mindset.

● Should be able to work on testing tools and technologies.

● Knowledge of Software Development Life Cycle

● Knowledge of Software Test Life Cycle

Proven experience as a Business Analyst or similar role.

Strong communication skills, both written and verbal, with the ability to effectively convey complex concepts.

Excellent documentation skills, with attention to detail and accuracy.

Proficient in logical and analytical thinking, with the ability to solve problems and think critically.

Demonstrated understanding of business needs and the ability to perform comprehensive requirement analysis.

Familiarity with Jira tool and Agile methodology.

Strong organizational skills and the ability to manage multiple tasks simultaneously

Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us

We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You’ll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.  

• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.  

• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.  

• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.  

• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.  

• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.  

• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.  

• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).  

• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.  

• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.  

• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.  

• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.  

• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.  

• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.  

• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).  

• Exposure to Go/Java for stream processors/consumers.  

• Lakehouse formats (Delta/Iceberg/Hudi).

The objective of digital marketing is to develop strong and innovative strategies to promote the business brand, products, and services. A digital marketing professional is expected to effectively use all marketing tools and techniques like PPC, SEO, SEM, email, social media, and display advertising. A typical digital marketing job description will cover all the above aspects, and more:

• Identify trends and insights
• Allocate marketing investments 
• Plan and direct marketing campaigns
• Manage an organization's website and maintain it, keeping best practices in mind
• Optimize content for the website and social media platforms
• Work with various content formats such as blogs, videos, audio podcasts, etc.
• Track the website traffic flow
• Implement and analyze performance metrics
• Measure and assess goals vis-à-vis ROI
• Device experiments and conversion tests
• Provide internal reports on a regular basis
• Execute new and creative collaborations among technologies and platforms.