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Grow Your Career with Fynite AI

Join Fynite AI to innovate with cutting-edge technology, shape the future of dynamic pricing, and accelerate your career growth.

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AI Enhances Job Satisfaction

Nearly 60% of workers report increased job fulfillment due to AI-powered automation.

Data Roles Satisfaction

Machine learning engineers and data scientists report higher job satisfaction compared to other data professionals.

Job Satisfaction

A survey of 1,047 U.S. business leaders found that 59% of senior leadership using AI reported improved job satisfaction.

Career Growth in AI

Employees in AI-driven companies gain 35% faster skill development in data science and software engineering.

Senior Product Manager

Location: Remote/Hybrid

Job Type: Full-Time

Experience Level: 5+ Years

About the Role

We are seeking an experienced and strategic Senior Product Manager to lead product development initiatives, drive problem discovery, refine business workflows, and enhance user experience. The ideal candidate will have a deep understanding of product strategy, customer needs, and data-driven decision-making.

Key Responsibilities

  • Product Strategy & Roadmap: Define and execute product strategies aligned with business goals.
  • Problem Discovery: Conduct market research and user interviews to identify pain points and opportunities.
  • Business Workflow Development: Map out and refine business processes to improve efficiency.
  • User Experience Focus: Work closely with design and engineering teams to create seamless user experiences.
  • Cross-Functional Collaboration: Partner with engineering, marketing, and sales teams to drive product success.
  • Data-Driven Decision Making: Leverage analytics and feedback to inform product improvements.
  • Go-To-Market Execution: Plan and execute product launches and feature rollouts.

Qualifications

  • Education: Bachelor’s degree in Business, Computer Science, or a related field.
  • Experience: Minimum of 5+ years in product management roles.
  • Technical & Analytical Skills: Experience with product analytics, A/B testing, and agile development.

Skills

  • Strong problem-solving and critical thinking abilities.
  • Expertise in mapping and optimizing business workflows.
  • Excellent communication and stakeholder management skills.
  • Ability to work in a fast-paced, iterative environment.
  • Understanding of UX principles and best practices.
  • Experience with product lifecycle management.

Why Join Us?

  • Be part of an innovative and forward-thinking team.
  • Opportunities for professional growth and leadership.
  • Competitive compensation and benefits.
  • Impactful role with direct influence on product success.

Application Process

If you are excited about leading product initiatives and shaping customer experiences, we encourage you to apply today! Please submit your resume and a cover letter outlining your relevant experience and achievements.

Senior Data Engineer

Location: Remote/Hybrid

Job Type: Full-Time

Experience Level: 5+ Years

About the Role

We are seeking a highly skilled and experienced Senior Data Engineer to design, develop, and manage our data infrastructure. The ideal candidate will have expertise in Python, Google Cloud Platform (GCP), BigQuery, Looker, Machine Learning (ML), and Artificial Intelligence (AI). This role requires a strong technical background, a data-driven mindset, and the ability to work collaboratively with cross-functional teams to develop scalable data solutions.

Key Responsibilities

  • Data Architecture & Engineering: Design, implement, and optimize scalable data pipelines and workflows.
  • Cloud Platform Management: Utilize Google Cloud tools (BigQuery, Cloud Storage, Dataflow, etc.) to manage and process large datasets efficiently.
  • ETL Development: Develop and maintain Extract, Transform, Load (ETL) processes for structured and unstructured data.
  • Data Analytics & Visualization: Leverage Looker to create dashboards and reports for business insights.
  • Machine Learning & AI: Work with data scientists to integrate ML models into production workflows.
  • Performance Optimization: Optimize data processing efficiency and scalability.
  • Data Governance & Security: Ensure data integrity, security, and compliance with best practices.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience: Minimum of 5+ years in data engineering roles.
  • Technical Expertise: Proficiency in Python, Google Cloud (GCP), BigQuery, and Looker.

Skills

  • Strong problem-solving and analytical abilities.
  • Experience with large-scale data processing and cloud infrastructure.
  • Proficiency in SQL and database performance optimization.
  • Ability to develop and maintain data pipelines.
  • Experience with ML and AI model integration.
  • Excellent communication and collaboration skills.

Why Join Us?

  • Work with cutting-edge data technologies and cloud platforms.
  • Be part of a fast-paced, data-driven organization.
  • Competitive compensation and benefits.
  • Opportunities for career growth and professional development.

Application Process

If you are passionate about data engineering and want to be part of an innovative team, we encourage you to apply today! Please submit your resume and a cover letter outlining your relevant experience and achievements to [email protected].

Contact Us


Interested in obtaining more information or watching a demonstration of our services? Feel free to send us a message. Our team is dedicated to providing exceptional service and support to our clients, and we would be more than happy to explore how we can help your business.