Head of Product - global role

Dacxi Chain
1 month ago
Applications closed

Related Jobs

View all jobs

Head Of Product

Product Management Assistant

Head of Digital Product

Senior Pricing Analyst

BI Manager

Digital Trading Manager

About Dacxi Chain

Dacxi Chain is transforming the global funding landscape by building the world’s first global equity crowdfunding network. Through blockchain, AI, and cutting-edge technologies, we aim to revolutionize early-stage funding by connecting equity crowdfunding platforms worldwide.

Our decentralized model fosters co-creation with local platforms, ensuring the development of the best product solutions to achieve our vision of a single, global ecosystem. With many platforms passionate about cross-border collaboration, we are confident in delivering a product that addresses investor scaling challenges.

When fully realized, the Dacxi Chain will empower millions of investors and drive funding for world-changing innovations globally.


Role Overview

We are seeking a highly skilled and motivated Product Manager to lead the development of our groundbreaking platform. This role involves collaborating with CEO/CTOs from partner companies worldwide, alongside our internal development team, to bring our product to life.

Location is flexible, but we prefer someone based in Europe, with the ability to travel internationally as needed.

The ideal candidate will possess extensive product management experience, a strong technical background, and the ability to engage with senior stakeholders. A deep understanding of financial networks, blockchain, and AI/machine learning technologies is essential, alongside exceptional leadership and organizational skills.


Key Responsibilities

  1. Product Strategy:Define and execute a product strategy that aligns with the company’s vision while ensuring a strong product-market fit.
  2. Technical Coordination:Collaborate closely with our development team and partner CEOs/CTOs to co-create and implement technologies, such as AI and blockchain, into our platform.
  3. Client Liaison and Partnerships:Act as the primary liaison with equity crowdfunding platforms (clients), working closely with our Head of Partnerships to maintain relationships and address client needs.
  4. API Implementation:Oversee the technical integration and successful implementation of APIs with partner platforms, ensuring seamless functionality and alignment with the Dacxi Chain ecosystem.
  5. Feedback Monitoring:Develop and maintain processes to monitor client feedback and platform performance post-implementation, identifying pain points and areas for improvement.
  6. Product Development:Oversee the entire development process from concept to launch, ensuring timely, high-quality product delivery.
  7. User-Centric Design:Advocate for a user-first approach, ensuring the platform delivers exceptional experiences for both partner platforms and end users.
  8. Market Research:Conduct market analysis to identify customer needs, industry trends, and competitive dynamics.
  9. Continuous Improvement:Analyze data, stakeholder feedback, and KPIs to identify opportunities for iterative improvement in the product and ensure long-term scalability.
  10. Cross-Border Collaboration:Foster collaboration between partner platforms to enable deal-sharing and cross-border crowdfunding in line with the Dacxi Chain’s mission.
  11. Metrics and KPIs:Establish and track key performance indicators (KPIs) to measure success, including API adoption, user satisfaction, and investment success rates.
  12. Documentation and Reporting:Ensure clear documentation and reporting for stakeholders, including technical specs, progress updates, and strategic roadmaps.
  13. Team Leadership:Provide guidance to the internal tech team and act as a bridge between technical and non-technical stakeholders.


Qualifications

  1. Experience:Minimum 5 years of experience in product management, with a strong track record of successfully launching and managing tech products.
  2. Technical Proficiency:Strong background in AI, machine learning, and blockchain is highly desirable. Experience with APIs and platform integrations is essential.
  3. Industry Knowledge:Familiarity with the equity crowdfunding industry and cross-border challenges is preferred.
  4. Education:Degree in Computer Science, Engineering, Business, or a related field. An advanced degree is beneficial but not required.
  5. Project Management:Strong project management skills with the ability to juggle multiple priorities and deadlines effectively.
  6. Communication:Excellent communication skills, capable of translating complex technical concepts for non-technical stakeholders and vice versa.
  7. Stakeholder Engagement:Proven ability to work with senior stakeholders, including partner CEOs/CTOs, to align product development with business goals.
  8. Adaptability:Able to thrive in a fast-paced, dynamic environment with evolving priorities.


Preferred Skills

  1. Innovative Mindset:A forward-thinking approach, staying ahead of industry trends.
  2. Analytical Skills:Strong analytical and problem-solving abilities, with a data-driven decision-making approach.
  3. Client Focus:Experience in liaising with external partners or clients, with a proven ability to build and maintain strong relationships.
  4. Collaboration:Proven ability to work effectively in cross-functional teams.
  5. Attention to Detail:Strong focus on documentation and operational excellence.
  6. Knowledge of Financial Networks:Familiarity with regulatory requirements and operational nuances in global crowdfunding.


Interested?

If this sounds like you, we’d love to hear from you! Join us in revolutionizing the global funding landscape at Dacxi Chain.


Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.