AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Analytics Engineer
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
1-3 years of experience in Analytics Engineering, Data Engineering, or related roles
Other Requirements:
Advanced proficiency in SQL
Solid working knowledge of Python
Hands-on experience with Medallion Architecture
Experience with cloud data warehouses like Snowflake
Strong understanding of ELT/ETL concepts
Responsibilities:
Design and develop scalable data models and data products
Build and maintain analytical tools, frameworks, and reusable data assets
Perform rigorous QA testing, validation, and data quality checks
Develop and maintain BI assets including dashboards and semantic layers
Optimize performance of queries, transformations, and analytical workflows
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Staff Engineer – Python
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
6+ years of experience building backend systems or platform services
Other Requirements:
Strong command of Python
Ability to design, build, and scale robust APIs
Solid understanding of system design principles
Proficient in SQL
Comfortable working in containerized environments (Docker, Kubernetes)
Responsibilities:
Design and implement scalable backend services and APIs in Python or Go
Build and maintain high-performance systems and data pipelines
Write clean, testable, modular code
Collaborate with DevOps, platform, and product teams
Participate in system design, code reviews, and architecture planning
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Product Manager - Platform Integrations
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
4-6 years in data infrastructure
3+ years deep Snowflake or Databricks experience
Other Requirements:
Customer-facing technical background
Fluent in SQL, data modeling, and API design
Experience with enterprise data architecture patterns
Responsibilities:
Own integration roadmap: connectors, metadata sync, and governance
Run design partnerships with Snowflake/Databricks customers
Build positioning frameworks and deployment playbooks
Track ecosystem dynamics across Modern Data Stack
Define integration requirements and technical trade-offs with engineering
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Pre-Sales Architect
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
10–15 years of experience in data engineering, architecture, or solutioning roles
Other Requirements:
Hands-on expertise with Python, SQL, Spark, and data pipelines
Excellent communication and storytelling skills
Ability to learn quickly and adapt to new domains
Strong experience in customer-facing or consultative environments
Responsibilities:
Partner with Sales to understand requirements and tailor demos
Own technical solutioning, demos, and PoVs during sales cycles
Address technical questions and validate architectures
Build and maintain scalable demo pipelines and reference architectures
Provide technical feedback to Product and mentor junior engineers
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Software Engineer
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Attractive compensation and benefits
Employee-friendly ESOP policies
Sacred value system (HEAT)
Collaborative and problem-solving environment
Experience Requirements:
3–5 years of experience in Java development
Other Requirements:
Strong knowledge of Java, Spring Boot, and REST APIs
Experience with relational and/or NoSQL databases
Familiarity with microservices architecture
Hands-on experience with Git and CI/CD pipelines
Responsibilities:
Develop and maintain backend applications using Java
Design and implement RESTful services and APIs
Work with cross-functional teams to define and deliver solutions
Write high-quality, maintainable, and testable code
Troubleshoot production issues and improve system reliability
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People Partner
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
8–10 years of experience in HR or People roles
Other Requirements:
Strong interpersonal and communication skills
Ability to handle sensitive conversations with empathy
Organized, proactive, and collaborative working style
Responsibilities:
Act as a go-to contact for employees and managers on people matters
Support leaders on basic to medium complexity people issues
Partner with HR Specialists for onboarding and exit interviews
Own learning and development initiatives end-to-end
Support performance conversations and employee engagement efforts
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Principal Product Operations Manager
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
8+ years of experience in Product Operations, TPM, or PM roles
Other Requirements:
Strong understanding of Agile methodologies
Deep hands-on experience with JIRA
Exceptional documentation skills
High operational rigor and attention to detail
Strong analytical ability to interpret product signals
Responsibilities:
Own and operate the end-to-end product execution cadence
Act as the central intake and triage function for customer issues
Design and manage structured intake mechanisms across JIRA boards
Serve as the single source of truth for product operational artifacts
Partner with Product Managers to support prioritization
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Data Lead
Optimize senior living operations and reduce caregiver burnout with AI-powered automation, predictive analytics, and data-driven insights for aging services.
Benefits:
Opportunity to work on cutting-edge AI projects with a meaningful impact on society
Collaborative and innovative work environment
Professional growth and development opportunities
Competitive salary and benefits package
Experience Requirements:
5–6 years of experience in managing data projects
Experience designing data architectures
Experience implementing end-to-end data solutions on Microsoft platform
Hands-on expertise in data warehousing
Expertise in ETL processes
Other Requirements:
Strong experience with Microsoft data stack (SQL Server, Azure Data Factory, etc.)
Excellent communication skills
Responsibilities:
Build and maintain data pipelines and data warehouse solutions
Design scalable and efficient data models
Collaborate with cross-functional teams and stakeholders
Manage data projects
Design data architectures
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