Benefits:

• Medical, Dental & Vision Insurance

• Employee Assistance Program

• 401k

• Travel Assistance Program

• Vacation & Sick Leave

Other Requirements:

• self-motivated

Benefits:

• Healthcare (nearly all insurance premiums covered)

• Health Savings (HSA contributions)

• Competitive Salary

• Unlimited Vacation

• Employee Engagement (parties, celebrations, etc.) Family (12 weeks paid parental leave, dependent care FSA), Wellness (fitness center discounts, workout classes), Accessible Leadership

Experience Requirements:

• 4+ years

• 3+ years

• 8+ years

• 1-2

• 1 to 4 years

Experience Requirements:

• 3-6

Education Requirements:

• Master's degree in a STEM field or equivalent practical experience

Experience Requirements:

• 4 years of industry or PhD Data Science experience

• Experience in causal inference, A/B testing, statistical modeling, or Machine Learning (ML)

• Experience with programming in SQL and Python, leveraging ML or statistical libraries (e.g. TensorFlow, Scikit-learn, XGBoost, Keras, Pandas)

Benefits:

• Equity in a rapidly growing startup

• Private Health Insurance

• Unlimited annual leave

• Enhanced parental leave

• Up to 20 days paid sick leave

Experience Requirements:

• Backend engineer with foundational data knowledge

• Experience in building backend systems

Other Requirements:

• Focuses on user experience

• Wants to implement and learn best practices on the intersection of backend and data engineering

• Cares deeply about the climate and ecosystems of the earth

• Self-starter who thrives in constantly evolving environments

Responsibilities:

• Designing, building and maintaining backend systems to automate our ratings creation processes

• Contributing to a culture in the team where everyone feels able to constructively challenge and learn from others

• Sharing knowledge with technical and non-technical stakeholders through demos

• Contributing to the development of internal APIs

• Connecting data sources to our data platform so that it can easily be consumed by our customer apps

Benefits:

• Performance bonuses

• Company retreats

• Coworking and home working expenses reimbursement

• Unlimited Paid Time Off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 10+ years of experience in Software Development

• 4+ years in engineering leadership

Other Requirements:

• Strong people leadership skills

• Proficiency in cloud-based development, microservice architecture, and modern software design patterns.

• Experience with SDLC methodologies, such as Agile, CI/CD, and Test-driven development.

• Ability to articulate architecture patterns of complex systems to executive and customer stakeholders.

• Performance engineering experience to ensure applications are scalable and performant.

• Experience managing remote and hybrid teams

Responsibilities:

• Drive the strategic direction of the engineering road map

• Oversee software development lifecycle (SDLC)

• Lead, manage, and grow multiple teams of product-focused software engineers

• Mentor and guide the professional and technical development of engineers across teams

• Oversee the coordination and integration of technical activities in architecture and engineering projects.

Education Requirements:

• With desired skills

Benefits:

• Competitive salary structure with a fixed component ranging from $2000 to $4000 USD

• Attractive variable component of 5-10% of total revenue generated

• Opportunity to work with a young, vibrant, and innovative startup

• Flexible work arrangement with options for both office and remote work

• Career growth opportunities in a rapidly expanding market

Education Requirements:

• Master's degree in Business Administration or related field with 3-4 years of experience in selling HR-related products

• OR Bachelor's degree with 7-8 years of relevant experience in the HR technology sector

Experience Requirements:

• Proven track record of success in B2B sales, preferably in the HR or recruitment technology space

Other Requirements:

• Strong understanding of the Indian market and regional business practices

• Excellent networking skills within the HR community

• Proficiency in using CRM systems and other sales tools

Responsibilities:

• Develop and implement sales strategies to expand SkillSpot's market presence across India

• Build and maintain relationships with key clients in the recruitment and HR sectors

• Manage the sales cycle from lead generation to closing deals

• Create and lead a high-performing sales team for each region

• Achieve and exceed sales targets and revenue goals

Education Requirements:

• Bachelor's degree preferred

Experience Requirements:

• Minimum of 2 years of BDR or sales-related experience, preferably in digital health, healthcare technology, or a related industry

• Demonstrated ability to develop and execute growth-related strategies and execute lead generation

• Measurable success in generating leads and pull-through rates to capture qualified leads

• Masterful use of various CRM software and sales management tools

• Highly analytical and strategic

Other Requirements:

• Masterful use of both PowerPoint and Excel - comfort level with Google Suite

• Excellent communication, negotiation, and presentation skills

• Ability to work in a fast-paced, dynamic environment and adapt to changing market conditions

• Preference for candidates residing on the East Coast

Responsibilities:

• Lead Generation

• Outreach

• Qualification

• Relationship Building

• CRM Management

Benefits:

• Salary Range: $90,000 – $140,000 depending on experience

Experience Requirements:

• Experience with various casino management systems as a casino operator is preferred. Familiarity with systems like Bally, IGT, Konami or Aristocrat is a plus!

• Proficiency in SQL, with the ability to navigate databases and derive insights from complex datasets

• Experience with neo4j Graph Databases and Python/nodeJS are valuable advantages, but not required, showcasing your ability to work with and ingest intricate data relationships

• Self-motivated and capable of working remotely, demonstrating excellent task management skills and meeting deadlines independently

• A collaborative mindset, willing to contribute wherever needed and work effectively with colleagues from different disciplines

Other Requirements:

• Strong problem-solving skills and meticulous attention to detail to ensure data accuracy and integrity

Responsibilities:

• Utilize your SQL expertise to extract valuable insights by querying data from diverse casino management systems and third party systems

• Collaborate closely with our development and data science teams to understand data requirements and design efficient ETL workflows for seamless data ingestion

• Take ownership of building and maintaining robust ETL pipelines to ensure smooth data flow from source to destination

• Monitor data quality and integrity, ensuring the accuracy and completeness of the ingested information

• Troubleshoot and resolve data-related issues to maintain the optimal performance of our Gaming Analytics application

Benefits:

• 0.15% - 0.75%

• equity

Experience Requirements:

• 3+ years

Other Requirements:

• 3+ years research experience in generative AI, computer vision, or deep learning

• Deep expertise in training generative models in PyTorch

• Curiosity and the drive to understand the unknown

• Proven record of implementing and adapting cutting-edge papers

• Proven ability to take research from concept to production

• Track record of breakthrough technical innovation

Benefits:

• 0.1% - 0.5%

• equity

Experience Requirements:

• 3+ years

Other Requirements:

• Deep expertise in PyTorch and video processing pipelines

• Track record of shipping novel ML features from concept to production

• Ability to bridge cutting-edge research with practical applications

• Strong collaboration skills across research and engineering teams

Responsibilities:

• Create novel CV features that unlock new forms of video manipulation

• Build ML pipelines that understand and modify humans in video

• Transform research breakthroughs into production capabilities

• Design systems that make complex AI feel like magic to users

• Pioneer new approaches to fine-grained video control

Benefits:

• Working at Modern

• First and foremost, our value system is sacred to us – HEAT: Humility, Empathy, Accountability and Transparency.

• Beyond this, we are fond of individuals who are curious, love solving problems and can see the larger picture.

• We love to take a leap of faith on potential.

• If you believe you haven’t had the chance to do your life’s best work, Modern is the place for you.

Education Requirements:

• Bachelor's degree in a relevant field (e.g., Computer Science, Engineering)

Experience Requirements:

• 6+ years' experience in customer-facing role with focus on end-to-end management and delivery of large-scale IT and Big Data projects

Other Requirements:

• Experience working with Big Data Technologies such as Spark, Kafka, Cloud Native, and Data Lakes in customer-facing or consulting roles

• Strong ability to align technical concepts & features to required capabilities

• Proven ability to present technical concepts effectively to diverse stakeholder groups and to engage effectively with senior executives of large enterprises on both technical and business topics

• Familiarity with data engineering techniques, database management, and proficiency in handling large databases

• Extensive experience as a Scrum Master, with command on backlog refinement, story splitting, estimation, velocity, retrospection. Proficiency in Atlassian tools (JIRA and Confluence) is desired

• Strong operational discipline with an analytical, process-oriented mindset and a data-based approach to decision-making and assessment

Responsibilities:

• Enhance our ability to efficiently plan, execute, and monitor initiatives crucial for our customers

Benefits:

• Opportunity to work with a dynamic and innovative team

• Competitive salary and benefits package

• Flexible work environment

• Career development and growth opportunities

Education Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field

Experience Requirements:

• Minimum of 8 years of experience in data modelling, data architecture, or a related field

Other Requirements:

• Proficiency in data modelling tools such as Erwin Data Modeler, SqlDBM, or similar

• Strong understanding of database design, including SQL and NoSQL databases

• Experience with data warehousing solutions and ETL processes

• Experience with different data modelling approaches, including Kimball, Inmon, Data Vault, One Big Table (OBT), and BEAM

• Familiarity with cloud-based data solutions such as AWS, Azure, or Google Cloud Platform

• Strong analytical skills and a strategic mindset to solve data-related challenges effectively

• Ability to translate complex business processes into comprehensive data models

• Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders

• Certifications in data management or data architecture

Responsibilities:

• Develop and Maintain Data Models

• Collaborate with Stakeholders

• Ensure Data Integrity and Quality

• Support Data-Driven Decisions

Experience Requirements:

• Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing

Other Requirements:

• Experience with Spark optimization/tuning/resource allocations

• Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences

• Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc)

• Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc

• Have a deep understanding of the various stacks and components of the Big Data ecosystem

• Hands-on experience with Python is a huge plus

Responsibilities:

• Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs

• Perform data analysis to validate data models and to confirm the ability to meet business needs

• Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level

• Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels

• Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture

Benefits:

• 4 day work week

• Competitive base salary

• Annual bonus

• Relocation package

• Long-Term Incentive Program (LTIP) eligibility and benefits coverage (medical, dental, vision, pet insurance)

Education Requirements:

• Bachelor's degree in human resources, organizational development, or related field

• Certification in Learning and Development (preferred)

Experience Requirements:

• 8-10 years of L&D experience

• Experience in multi-unit retail, restaurant, or hospitality (preferred)

Other Requirements:

• Full L&D project lifecycle management experience

• Positive attitude and team-player approach

• Technical experience integrating learning technologies

• Knowledge of adult learning principles and performance enhancement

Responsibilities:

• Create a culture of continuous learning

• Assess L&D needs and develop training programs

• Create learning experiences

• Maintain learning systems

• Collaborate with Operations to develop and lead a team of Training Managers in the field and conduct Train-the-Trainer sessions with our field teams

Benefits:

• Starting Compensation: On-target-earnings (OTE) $107,000 with uncapped commission.

• The base salary is $50,000.

• Opportunities for advancement and increased compensation after 4 months, based on performance.

• 22 days of annual PTO plus 11 paid holidays

• 401K matching

Experience Requirements:

• 1-5 years of sales experience

• Reliable transportation

• Experience in retail, hospitality, B2B and/or SAAS sales is always a plus.

Responsibilities:

• Full sales cycle management including territory based prospecting and canvassing.

• Cold Calling for new business leads.

• Research (play smarter not harder)

• Use our CRM to track performance and ensure communication and success.

Benefits:

• 0-1 Journey

• Health insurance

• Equity

• Learning stipend

• Generous leave policy

Experience Requirements:

• 7+ years of experience in data engineering or data architecture, with at least 3 years in a hands-on technical leadership or architecture role

Other Requirements:

• Extensive hands-on experience with Python, SQL, and big data frameworks like Apache Spark or Hadoop

• Comfortable jumping into complex technical problems and providing innovative solutions

• Expert-level experience with cloud platforms (AWS, Azure, GCP) and hands-on experience with data tools such as Redshift, BigQuery, Snowflake, or Synapse

• Proven expertise in building and optimizing data pipelines using tools like Apache Airflow, Azure Data Factory, dbt, Fivetran, and other ETL/ELT frameworks

• Experience with real-time data streaming platforms (e.g., Kafka, Kinesis, Flink), with a focus on building and maintaining low-latency, high-throughput systems

• Extensive experience in designing and implementing data models for both operational databases and data warehouses, including dimensional modeling and data vault techniques

• Strong communication and leadership abilities

• Able to motivate and guide teams to success, while fostering a culture of collaboration, learning, and technical excellence.

• Ability to tackle complex problems and quickly iterate on solutions

• Proven experience in setting strategic direction and executing on technical initiatives

Responsibilities:

• Lead the design and implementation of web front-end and back-end architecture to ensure consistency and scalability across all features.

• Perform detailed technical architecture and design reviews to maintain high standards.

• Architect, design, and develop data pipelines and infrastructure components.

• Write high-quality, production-level code in Java, Python, SQL, and implement big data frameworks like Apache Spark.

• Work with cloud data platforms such as Redshift, Snowflake, etc., ensuring solutions are scalable, secure, and efficient.Develop innovative no-code and low-code solutions using AWS or existing managed services to quickly innovate and implement AI solutions, leveraging RAG (Reasoning and Generalization), AI agent architectural frameworks, and other emerging technologies.Oversee the architecture and implementation of web features, reviewing PRs, sharing best practices, and mentoring engineers on technical solutions.Help deliver highly performant and available features while managing the overall health and quality of the codebase.Mentor senior engineers, helping them elevate their technical skills and continuously raising the engineering bar across the organization.Conduct rapid proof-of-concept (POC) experiments to set direction for the engineering team.Design and develop seamless integrations between multiple data sources, ensuring smooth data availability across the organization.Lead the optimization of cloud-based data platforms, such as AWS, Azure, or GCP, focusing on real-time streaming platforms like Apache Kafka, Kinesis, or Dataflow.Architect and implement real-time data pipelines, ensuring low-latency, high-throughput data processing.Focus on building and maintaining high-performance systems that cater to the organization's real-time data needs.Establish automated data validation and testing frameworks, ensuring accuracy, completeness, and reliability in data processing.Communicate architectural decisions, solutions, and approaches to senior leaders and other teams, gaining consensus and support for critical initiatives.Actively manage, coach, and motivate the engineering team.Foster a collaborative and high-performance culture that emphasizes accountability, ownership, and continuous improvement

Benefits:

• Competitive salary and optional equity

• Health insurance for you and your family (spouse and children)

• Generous vacation policy and paid holidays like family leave, medical leave, and bereavement leave policies

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 1-2 years of experience in Customer Success, preferably within the SaaS industry, engaging with Mid-Market/Enterprise clients

Other Requirements:

• Exceptional communication skills; adept at ensuring client satisfaction and engagement

• Willing to learn the product and tech in depth

• Enthusiastic problem solver with a keen interest in data analysis

• Comfortable and skilled in client communication

Responsibilities:

• Engage with clients during free trial stage and onboarding to showcase the full value of Hivel.

• Provide continuous technical support, addressing inquiries and resolving minor issues.

• Collaborate with the sales team to facilitate technical discussions with clients.

• Utilize SQL queries for ad-hoc reporting and pattern analysis, sharing actionable insights.

• Cultivate strong client relationships, gaining a deeper understanding of their processes and offering best practices for enhanced engineering efficiency.Work closely with the tech and customer success teams to ensure client success while aligning with the product roadmap and technical team workflow