Customer Relationship Manager

Creator Management/Influencer Marketing Executive, AM:PM

• You do not “manage influencer campaigns.” You build creator networks. You know the difference between a creator who gives reach and a creator who gives trust. You know who can move a niche, who only looks good on a media plan, and who will actually matter for a Gen Z news platform trying to build cultural pull.
• You are not here to send briefs and wait for posts. You are here to build AM:PM’s creator engine from zero. First DM. First call. First negotiation. First onboarded creator. First repeat collaborator. You own all of it.
• You can manage a team, but you do not hide behind one. You can close creators yourself. You can crack hard-to-reach voices. You can build systems that make outreach faster without making it feel robotic.

About AM:PM

AM:PM is a VC-backed news platform built for short-form video, reels, and fast threads, for Gen Z and millennials who want to stay informed without sitting through a panel of five people agreeing with each other for 40 minutes. We go deep without going slow. We understand internet culture because we live in it, not because we read a report about it.

Why this role matters

AM:PM’s growth depends on the right creator network. News, finance, politics, sports, tech, culture, and internet voices need to be found, pitched, onboarded, managed, and retained. This role exists to build that engine end-to-end and turn creators into a serious distribution and credibility layer for AM:PM.

What you will own

• Build AM:PM’s creator and influencer network from zero across news, finance, politics, sports, tech, culture, and internet-led categories
• Own the creator pipeline end-to-end, from sourcing and first outreach to negotiation, onboarding, delivery, and retention
• Identify high-trust niche creators, commentators, pages, communities, and voices before they become obvious to everyone else
• Structure creator deals, low-budget collaborations, barter opportunities, long-term partnerships, and recurring formats
• Manage creator relationships, briefing quality, timelines, feedback loops, performance, and repeat collaborations
• Build and lead the outreach team while still being hands-on with difficult creator conversations and closures
• Work with editorial, content, social, and product teams to make sure creator output fits AM:PM’s voice, speed, and audience

Who you are

• 2-4+ years of experience in influencer marketing, creator partnerships, PR, talent management, creator strategy, or social media partnerships
• You have personally closed creator or influencer deals, not just tracked them in a sheet
• You can name creators by handle, explain why they matter, and show proof of relationships or campaigns you have built
• You are sharp, persuasive, persistent, commercially aware, and comfortable getting rejected until the right person says yes
• Based in Mumbai or willing to relocate within commutable distance

This is a 0-to-1 journey. You will build the creator engine that helps AM:PM earn reach, trust, and cultural relevance. The right voices will not appear on their own. You will find them, pitch them, close them, and keep them moving.

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Job title:  DLP Engineer 

Work Location: Delhi

Division/Department: Technical

Requirement Severity: Immediate

Job Description:.

• Deploy and configure DLP solutions such as Forcepoint, CoSoSys, or Netskope across endpoints, networks, and cloud environments.
• Customize DLP policies and rules to address organizational data security needs.
• Continuously monitor data flow and detect unauthorized access or data exfiltration attempts.
• Analyze DLP alerts and logs to identify potential threats and escalate as necessary.
• Develop, implement, and manage DLP policies to prevent data breaches and leaks.
• Integrate DLP solutions with other security tools, including SIEM.
• Provide technical support for DLP tools and resolve related issues promptly.
• Stay updated with the latest trends and advancements in DLP technologies, particularly Forcepoint, CoSoSys, and Netskope.

Skill Requirements:

• Good communication skills.

Mandatory Requirements:

• 2 years’ experience in the installation of Forcepoint Cososys or Netskope.
• Should have own conveyance.

Education and/or Work Experience Requirements: 

• 2 years’ experience in the installation of Forcepoint Cososys or Netskope.
• Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service.
• Ability to work independently and carry out assignments to completion within the instructions' parameters.

Job Requirements: 

Minimum Experience: 2 years

Working Days: 6 days working, Monday to Saturday (3rd Saturday off)

Job Location - Hyderabad & Ahmedabad

Skills required – Angular, ionic

What you'll do:

• Perform complex application programming activities with an emphasis on mobile development:  Angular, ionic, Node, TypeScript, JavaScript, Apache Cordova, RESTful APIs and more
• Assist in the definition of system architecture and detailed solution design that are scalable and extensible
• Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible
• Own the quality of code and do your own testing. Automate feature testing and contribute UI testing framework
• Become a subject matter expert for our mobile applications
• Deliver amazing solutions to production that knock everyone’s socks off
• Mentor junior developers on the team

What we’re looking for:

• Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around.
• A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time.
• A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts.
• Confidence, not ego. You have an ability to collaborate with others and see all sides of the coin to come to the best solution for everyone.
• Flexible and willing to accept change in priorities, as necessary

Preferred Qualifications:

• Proficient with Apache Cordova framework
• Built or maintained custom Cordova plugin
• Demonstrable knowledge of native coding background in iOS
• Understanding of Apple certificate and profile management
• Experience developing and deploying applications within Kubernetes based containers
• Experience in Agile and SCRUM development techniques

Sr. Data Engineer (Data Warehouse-Snowflake)

Experience: 5+yrs

Location: Pune (Hybrid)

As a Senior Data engineer with Snowflake expertise you are a subject matter expert who is curious and an innovative thinker to mentor young professionals. You are a key person to convert Vision and Data Strategy for Data solutions and deliver them. With your knowledge you will help create data-driven thinking within the organization, not just within Data teams, but also in the wider stakeholder community.

Skills Preferred

• Advanced written, verbal, and analytic skills, and demonstrated ability to influence and facilitate sustained change. Ability to convey information clearly and concisely to all levels of staff and management about programs, services, best practices, strategies, and organizational mission and values.
• Proven ability to focus on priorities, strategies, and vision.
• Very Good understanding in Data Foundation initiatives, like Data Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
• Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools.
• Coordinate the change management process, incident management and problem management process.
• Ensure traceability of requirements from Data through testing and scope changes, to training and transition.
• Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery

Knowledge Preferred

• Extensive knowledge and hands on experience with Snowflake and its different components like User/Group, Data Store/ Warehouse management, External Stage/table, working with semi structured data, Snowpipe etc.
• Implement and manage CI/CD for migrating and deploying codes to higher environments with Snowflake codes.
• Proven experience with Snowflake Access control and authentication, data security, data sharing, working with VS Code extension for snowflake, replication, and failover, optimizing SQL, analytical ability to troubleshoot and debug on development and production issues quickly is key for success in this role.
• Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases. 
• Highly Experienced in building and optimizing complex queries. Good with manipulating, processing, and extracting value from large, disconnected datasets.
• Your experience in handling big data sets and big data technologies will be an asset.
• Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Pyspark.

Primary responsibilities

• You will be an asset in our team bringing deep technical skills and capabilities to become a key part of projects defining the data journey in our company, keen to engage, network and innovate in collaboration with company wide teams.
• Collaborate with the data and analytics team to develop and maintain a data model and data governance infrastructure using a range of different storage technologies that enables optimal data storage and sharing using advanced methods.
• Support the development of processes and standards for data mining, data modeling and data protection.
• Design and implement continuous process improvements for automating manual processes and optimizing data delivery.
• Assess and report on the unique data needs of key stakeholders and troubleshoot any data-related technical issues through to resolution.
• Work to improve data models that support business intelligence tools, improve data accessibility and foster data-driven decision making.
• Ensure traceability of requirements from Data through testing and scope changes, to training and transition.
• Manage and lead technical design and development activities for implementation of large-scale data solutions in Snowflake to support multiple use cases (transformation, reporting and analytics, data monetization, etc.).
• Translate advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful presentations.
• Exhibit strong knowledge of the Snowflake ecosystem and can clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders.

Relevant work experience

Bachelors in a Science, Technology, Engineering, Mathematics or Computer Science discipline or equivalent with 7+ Years of experience in enterprise-wide data warehousing, governance, policies, procedures, and implementation.

Aptitude for working with data, interpreting results, business intelligence and analytic best practices.

Business understanding

Good knowledge and understanding of Consumer and industrial products sector and IoT. 

Good functional understanding of solutions supporting business processes.

Skill Must have

• Snowflake 5+ years
• Overall different Data warehousing techs 5+ years
• SQL 5+ years
• Data warehouse designing experience 3+ years
• Experience with cloud and on-prem hybrid models in data architecture
• Knowledge of Data Governance and strong understanding of data lineage and data quality
• Programming & Scripting: Python, Pyspark
• Database technologies such as Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)

Nice to have

• Demonstrated experience in modern enterprise data integration platforms such as Informatica
• AWS cloud services: S3, Lambda, Glue and Kinesis and API Gateway, EC2, EMR, RDS, Redshift and Kinesis
• Good understanding of Data Architecture approaches
• Experience in designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming, Stream sets and similar cloud native technologies.
• Experience with implementation of operations concerns for a data platform such as monitoring, security, and scalability
• Experience working in DevOps, Agile, Scrum, Continuous Delivery and/or Rapid Application Development environments
• Building mock and proof-of-concepts across different capabilities/tool sets exposure
• Experience working with structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data sets

•  Worked on Angular 4 and above.

•  Develop, test, and deploy fast and scalable web apps
•  Designing and maintenance of fully functional large relational and
• non-relational databases
•  Server management and cloud-based infrastructure
•  Identification of application issues when deploying the apps
• App deployment on the cloud along with solving debugging issues
•  Coding architecture for frontend and backend
•  Collaboration with IT team, researchers, designers for designing robust apps and
• encouraging business goals
•  Creating features in apps that have a mobile responsive design
•  Testing applications and fixing bugs, along with security and data protection features
•  Establish code architecture decisions for supporting scalability and good features
•  Makes use of popular front-end frameworks like Bootstrap, LESS, etc and
• design UI components
•  Participation with developers for the creation of scalable RESTful APIs.
•  Conducting code reviews of peer developers.MUST HAVE:
•  Worked on Angular 4 and above.

The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.

Key Expectations

• Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
• Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
• Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
• Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
• Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
• Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
• Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
• Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
• Partner with Engineering team to implement policies and scorecards.
• Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.

Competencies -

• Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
• Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
• Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
• Outstanding communication skills, both verbal and written