AI Jobs

Education Requirements:

• Bachelor's degree in Computer Science, a related field, or equivalent experience

Experience Requirements:

• 10+ years of experience in an Infrastructure Engineer or similar role

• Extensive experience with GCP and/or AWS

• Deep knowledge of IaC with Terraform

• Strong experience with Kubernetes and related tools

Other Requirements:

• Kubernetes Certified Administrator

• Google Cloud Certified Professional Cloud Architect

• Willingness to travel up to 25%

Responsibilities:

• Design and implement scalable infrastructure solutions

• Develop and maintain IaC using Terraform

• Utilize Kubernetes deployment tools like Helm/ArgoCD

• Design and implement CI/CD pipelines

• Provide technical leadership and mentorship

Experience Requirements:

• Advanced understanding of Javascript design patterns

• Deep production experience with React and Angular

• Experience in writing backend API in JAVA or Python

Other Requirements:

• Experience with React Native/React Router/Redux

• Experience with NodeJS and Flask

• Knowledge of relational and NoSQL databases

Responsibilities:

• Leverage software engineering principles and system design

• Solve business problems with elegant software

• Collaborate with cross-functional teams

• Communicate technical findings to stakeholders

Experience Requirements:

• 8–12 Years total experience

• Minimum 6+ years of Salesforce platform leadership experience

Other Requirements:

• Knowledge of analytics and reporting platforms (Salesforce Analytics, Tableau, Power BI, etc.)

• Salesforce Architecture or Platform certifications

• Experience with Copado or similar Salesforce DevOps tools

Responsibilities:

• Own and govern Salesforce platform architecture

• Lead internal programs for Salesforce and Certinia implementations

• Architect and review solution designs

• Manage and enable cross-functional teams

• Partner with Operations, Finance, and PMO teams

Benefits:

• Early-stage leverage

• Real ownership

• High Learning Velocity

• High trust, high autonomy

Experience Requirements:

• 2 to 4 years

• Proven track record in B2B Growth, Demand Gen, or Marketing Ops

Other Requirements:

• HubSpot (CRM/MA), Clay (Enrichment), GA4, and Automation/IPaaS tools

• Expertise in Zapier/n8n/make.com, APIs, SQL, and CRM architecture

• Systems Thinker: You build for reuse and scalability

• High proficiency in data interpretation and experiment design

Responsibilities:

• GTM Architecture & Strategic Modeling

• Technical Stack & Data Engineering

• Campaign Engineering & AI Implementation

• Full-Funnel Analytics & Optimization

Benefits:

• Build the data foundation for AI-driven engineering insights

• Work directly with founders and senior architects

• Work visible in dashboards viewed by CTOs and CEOs

• Shape productivity measurement for thousands of engineers

• Fast-moving, no-ego, design-driven culture

Experience Requirements:

• 5 to 10 years

• 6–10 years as a Backend or Data Engineer

• Deep hands-on expertise with Java and AWS

• Experience fetching data from GitHub, Jira, or Jenkins APIs

• Expertise in Postgres performance tuning

Other Requirements:

• Strong fundamentals in data modeling and incremental updates

• Experience handling 100M+ records in multi-tenant environments

• Knowledge of AWS (S3, ECS, RDS, Lambda, CloudWatch)

• Ability to build self-healing, production-grade pipelines

Responsibilities:

• Build and scale multi-source data ingestion from Git and Jira

• Refactor and optimize Java-based ETL pipelines

• Design and implement parallel, event-driven processing (Kafka/SQS)

• Own Postgres optimization (schema, partitioning, indexing)

• Maintain data orchestration, lineage, and observability

Benefits:

• High-impact, quota-carrying leadership role

• Chance to build and scale a sales team from scratch

• Close collaboration with founders and leadership

• Influence in shaping global engineering team growth

Experience Requirements:

• 5 to 12 years

• 5+ years of B2B SaaS sales experience

• 1 - 1.5 years in a leadership role

Other Requirements:

• Proven track record of achieving quotas

• Experience selling to technical buyers (CTOs, VPs)

• Skilled in pipeline building and account planning

• Data-driven mindset with proficiency in CRM

Responsibilities:

• Carry and achieve an individual quota via mid-market/enterprise cycles

• Build strong relationships with engineering leaders

• Lead and coach a small but growing sales team

• Develop sales playbooks, processes, and enablement

• Partner with marketing to align campaigns and outbound motions

Benefits:

• Hands-on training in outbound sales and SaaS GTM

• Mentorship from experienced sales and growth leaders

• Real ownership with a fast learning curve

• Close collaboration with founders and senior leaders

Education Requirements:

• Final-year students / Recent grads

Experience Requirements:

• 0 to 2 years

Other Requirements:

• Strong written and spoken communication skills

• Comfortable aligning with the US time zone (4:00 PM – 2:00 AM IST)

• Curious, proactive, and organized

• Comfortable with rejection and staying consistent

Responsibilities:

• Research and identify target companies and engineering leaders

• Run outbound outreach via email and LinkedIn

• Write personalized, high-signal messages

• Qualify interest and book meetings for the sales team

• Maintain clean and accurate lead data in the CRM

Benefits:

• Early-stage leverage

• Real ownership

• High Learning Velocity

• High trust, high autonomy

Experience Requirements:

• 2 to 5 years

• Scaled demand at a B2B SaaS startup from ~$1M ARR to $10M+

Other Requirements:

• Hands-on and deeply fluent in LinkedIn Campaign Manager and Google Ads

• Understand the math behind CAC, LTV, and payback periods

• Analytical, experimental, and comfortable owning a number

• Thrive in fast-moving, high-ownership environments

Responsibilities:

• Own the pipeline and top-of-funnel performance

• Manage and optimize budget across LinkedIn, Google Search, and Meta

• Dominate category keywords for high-intent search

• Execute ABM campaigns targeting C-suite and senior engineering leaders

• Partner with design to iterate on ad creative based on data

Experience Requirements:

• 3-8 years of experience in UI frameworks and Java/J2EE

• Experience with building SaaS-based web applications

• Working knowledge of GIT version control system

Other Requirements:

• Knowledgeable in Java, JavaScript, AngularJS, React, EmberJS, JQuery, Bootstrap, CSS3, HTML, Ajax, JSON, SQL, PLSQL, Microservices, WebServices, Restful API’s

• Hands-On experience in continuous integration and build tools such as Jenkins, Maven, Gradle

• Knowledge about Node.js is a plus

• Strong knowledge of Object Oriented Programming Principles, Design Patterns and Software Architecture

• Must be able to design and implement across all layers (UI, Backend, Database)

Responsibilities:

• Design and Implement Web-based applications

• Writing high-quality, testable, maintainable, and well-documented code

• Own features and production issues until resolution

• Manage Full Life-Cycle Software Development

• Perform Technical Analysis and Testing

Education Requirements:

• Certified PMP or Scrum Master

Experience Requirements:

• 10 to 15 Years of experience in Software Development

• At least 4 years of experience as Project Manager / Director Of Technology / Head – IT / Delivery Manager

• Management experience of teams of 40+ employees

Other Requirements:

• Adept with Project Planning, Defining Technology Stack, SDLC Management and Testing

• Candidates from Product Development companies are preferred

• Adept with Agile development model

• Crisis handling and risk mitigation skills

• Experience in Implementations of Cloud, ERP, Application Testing and Support

Responsibilities:

• Create and maintain strategy as per organizational requirement

• Ensure creation of long-term action plan to ensure optimum utilization of IT resources

• Ensure cost optimization, efficiency and innovate solutions

• Manage IT expenditure and ensure adherence to IT budgets

• Analyze existing processes and evaluate cloud based applications

Benefits:

• employee wellness programs

• health insurance coverage

• flexible work schedules

• rewards & recognitions

• tailored mentorship programs

Experience Requirements:

• 5+ years

Other Requirements:

• Permanent

Benefits:

• employee wellness programs

• health insurance coverage

• flexible work schedules

• rewards & recognitions

• tailored mentorship programs

Experience Requirements:

• 5+ years

Other Requirements:

• Permanent

Benefits:

• employee wellness programs

• health insurance coverage

• flexible work schedules

• rewards & recognitions

• tailored mentorship programs

Experience Requirements:

• 5+ years

Other Requirements:

• Permanent

Benefits:

• employee wellness programs

• health insurance coverage

• flexible work schedules

• rewards & recognitions

• tailored mentorship programs

Experience Requirements:

• 3+ years

Other Requirements:

• Permanent

Benefits:

• Medical Insurance

• Competitive Incentive Program

• PF for 1,800 INR monthly

• Collaborative Engagement events

• Eligibility for additional salary raise

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in India

• Fluent/Native in English and Hindi

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Grammar, punctuation, and spelling proficiency in English and Hindi languages

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in India

• Fluent/Native in Hindi

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Follow instructions, quality standards, and productivity requirements

Experience Requirements:

• 8 - 13 years

Experience Requirements:

• 3 - 7 years

Experience Requirements:

• 5–7 years of experience in ML engineering or applied machine learning.

• Strong proficiency in Python and libraries like Pandas, Dask, NumPy, Scikit-learn.

• Hands-on experience with PyTorch or TensorFlow for model development.

• Solid understanding of MLOps tools: Airflow, Kedro, MLflow (or equivalents).

• Experience deploying ML models in production environments (APIs, batch jobs, streaming).

Other Requirements:

• Familiarity with containerization (Docker) and orchestration (Kubernetes).

• Exposure to cloud platforms (Azure, AWS, or GCP) for ML workloads.

• Experience with Power BI or similar BI tools for analytics and visualization.

Responsibilities:

• Design, train, and optimize ML models using PyTorch or TensorFlow for production-grade applications.

• Build scalable data pipelines for feature engineering and model training using Pandas or Dask.

• Develop and maintain ML workflows using Airflow, Kedro, and MLflow for reproducibility.

• Automate model deployment and lifecycle management across environments.

• Collaborate with business and analytics teams to translate ML outputs into actionable insights.

Education Requirements:

• Bachelor’s degree in Engineering, Business, Science, Mathematics, Finance, or Healthcare

Experience Requirements:

• Minimum of five (5) years of experience in a similar role or function

• Experience managing agile product teams and collaborating with engineers and designers

• Strong analytical and problem-solving skills

• Excellent communication and relationship-building abilities

Responsibilities:

• Build and nurture relationships with business partners, stakeholders, and customers.

• Take full product management responsibility for one large product area or two smaller teams.

• Set clear goals, standards, and protocols while managing resources effectively.

• Identify opportunities for improvement across teams and processes.

• Own and deliver on the product roadmap with precision and consistency.