AI Product Manager

Status
Philippines
Full time
Remote
Compensation is not specified
Role
Product Manager
Description

Position Overview:

We are in search of a dynamic and forward-thinking individual to take on the role of AI Product Manager. This individual will lead the incorporation of innovative AI capabilities into our User-Generated Content (UGC) platform. The ideal candidate is someone who can strategize, identify groundbreaking AI features, and oversee a diverse team of AI specialists, including engineers and product designers.

Key Responsibilities:

Strategic Vision and Roadmapping:

  • Develop and communicate a forward-looking AI strategy that aligns with the platform's objectives and user requirements.
  • Identify opportunities to utilize AI for amplifying content creation, moderation, personalization, and user engagement.
  • Create and manage a roadmap for AI-driven features that balances short-term achievements with long-term innovation.

AI Feature Identification and Development:

  • Collaborate with stakeholders to brainstorm, prototype, and refine innovative AI-powered tools such as generative AI for content creation, AI-driven moderation for quality maintenance, and personalization algorithms for enhancing user experiences.
  • Define feature requirements, ensuring they are feasible and inline with technical and business goals.

Team Building and Leadership:

  • Recruit, hire, and oversee a high-performing team of AI product specialists that includes engineers, data scientists, and AI researchers.
  • Cultivate a collaborative and innovative environment that encourages team members to experiment and deliver cutting-edge solutions.
  • Provide mentorship and growth opportunities to team members, fostering a culture of excellence and curiosity.

Cross-Functional Collaboration:

  • Collaborate with engineering, design, marketing, and other teams to deliver AI features that resonate with creators and users.
  • Act as the main liaison between the AI team and leadership, facilitating the translation of technical insights into business opportunities.
  • Facilitate communication between internal and external stakeholders, ensuring alignment on AI goals and deliverables.

Data-Driven Decision Making:

  • Use data analytics and user feedback to guide prioritization and optimization of AI features.
  • Monitor key performance indicators (KPIs) for AI tools, refining them based on performance and user satisfaction.
  • Stay updated on AI industry trends and advancements, incorporating relevant innovations into the platform.

Qualifications:

Experience:

  • Proven track record with a minimum of 5 years in product management, preferably focusing on AI-driven products.
  • Robust background in AI/ML technologies and their applications in consumer-facing platforms.
  • Experience in managing and scaling multidisciplinary teams, emphasizing AI or tech innovation.

Skills:

  • In-depth understanding of generative AI, NLP, computer vision, and AI moderation systems.
  • Strong analytical skills with the ability to interpret data to make informed decisions.
  • Outstanding communication and leadership skills to influence and inspire cross-functional teams.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. An MBA is a plus.

Preferred Attributes:

  • Forward-thinking mindset with a drive for pushing boundaries in AI applications.
  • Familiarity with the challenges and opportunities presented by UGC platforms.
  • Hands-on experience with AI frameworks and tools like TensorFlow, PyTorch, or Hugging Face.

Key Performance Indicators:

  • Successful deployment and adoption of AI-powered features on the UGC platform.
  • Growth in user engagement, retention, and satisfaction metrics due to AI initiatives.
  • Effective scaling and productivity of the AI product team.
  • Positive impact on platform revenue through AI-driven monetization opportunities.

This position offers an exciting opportunity to shape the future of user-generated content through cutting-edge AI technologies. If you are a visionary leader prepared to turn ideas into impactful AI solutions, we welcome your application.

Location:

  • Fully remote
  • Flexible timezone, within working hours between 9AM and 10PM (UTC time).

Benefits:

  • 21 holidays per year, including National holidays.
  • Sick days.
  • Budget for training/courses.
  • Budget allocated for purchasing work equipment such as laptops.

Salary:

  • Monthly salary paid in stablecoins (USDC).

Apply Now

Skills Required
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Seedify
Company size
Not specified
Location
Singapore
Description
Not specified
Status

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Founding Technical Partners for Oferli – Elite Web & Mobile Development Team🌐

Remote, USA
Remote, USA
Part time
Remote
I am Sadr, CEO of Oferli. We are building a high-performance, elite technical team, and I am looking for 5 to 10 dedicated founding technical partners to join me in this mission.
​The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
​What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
​Requirements:
​Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
​Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
​Professionalism: We operate with high standards. Communication and efficiency are key.
​How We Work:
​Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
​Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
​Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
​Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
​Let’s build the future, together.
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Payment in Crypto

Commercial Operations Associate

Full time
Remote
Job Overview

CleanSpark is seeking a Commercial Operations Associate to support their AI data center projects by overseeing procurement, contract administration, and financial analysis. In this role, you will report to the Senior Manager, Commercial Operations and play a key part in evaluating vendor proposals, analyzing budget discrepancies, addressing commercial issues, and providing recommendations to ensure successful project delivery.

Key Responsibilities

Conduct detailed analysis of project budgets, forecasts, and expenditures, and suggest actions to handle variances.

Evaluate vendor proposals and select suppliers based on factors like cost, terms, timely delivery, and risk assessment.

Engage in negotiations to finalize commercial terms, obtaining necessary approvals.

Review contracts, change orders, and manage commercial risks and vendor-related matters.

Address and resolve any non-routine procurement, invoice, or payment discrepancies as they arise.

Enforce commercial policies and financial controls, escalating issues if necessary, and work towards process improvements.

Develop reports outlining trends, risks, and strategic actions to enhance commercial operations.

Maintain precise records and project data in company systems, ensuring accuracy and completeness.

Collaborate with legal and business partners for contract agreements, vendor onboarding, and approvals.

Work closely with project teams and vendors to handle commercial challenges and support project execution effectively.

Facilitate audits and compliance reviews, offering recommendations for corrective actions.

Undertake other responsibilities as delegated.

The successful candidate for this role will possess professionalism, effective communication skills, and the ability to collaborate well within a team-oriented and inclusive environment.

Required Qualifications

Bachelor's degree in relevant fields like business, finance, construction management, or operations, or equivalent experience.

Two or more years of hands-on experience in commercial operations, procurement, financial analysis, or contract management.

Ability to assess commercial issues independently and provide sound business recommendations.

Proficient in budget analysis, vendor proposal evaluation, and commercial terms review.

Strong judgment in policy application, problem resolution, and understanding of approval processes.

Proficiency in Microsoft Office tools and experience with project or financial systems.

Solid analytical, organizational, and communication skills.

Willingness to travel occasionally based on business requirements.

Preferred Qualifications

Experience in data centers, engineering, construction, energy, or similar capital-intensive industries.

Exposure to vendor negotiations, commercial risk management, change orders, or procurement processes.

This position offers a salary range of $85,000 to $95,000 per year and may involve responsibilities requiring the use of a company vehicle or travel between job sites. Candidates must meet CleanSpark's vehicle insurance policy requirements.

CleanSpark is an Equal Opportunity Employer, providing a discrimination-free workplace. All aspects of employment, including recruitment, promotions, termination, and training, are governed by this policy. AI tools may be utilized in parts of the hiring process.

Senior Full-Stack Engineer (Go)

Hong Kong
Hong Kong
Full time
Remote
A proprietary trading and research firm is looking for skilled full-stack engineers to contribute to the development of user interfaces and services for critical financial applications. These applications include visual analytics platforms and data-driven tools used by traders, researchers, and analysts. As a part of the team, you will be involved in working on TypeScript front-ends and Go services that support them. The team is transitioning its applications into a modular, plugin-based platform that will be expanded upon by other engineers. You'll be responsible for creating reusable UI modules, component libraries, and SDKs, in addition to developing end-user features. Ownership of your work will be from structured product requirement documentation through to production. No specific trading or finance background is mandatory; the team prioritizes engineering expertise and offers training in the domain.

What You'll Be Doing:

Collaborating with traders, researchers, and product managers to transform complex workflows into sophisticated UI solutions.

Designing and implementing high-performance, responsive front-end applications using current-generation TypeScript frameworks like Svelte, React, or Vue.

Building, operating, and designing Go back-end services with security and performance integrated into their design, overseeing service boundaries and data contracts end-to-end.

Constructing reusable UI components, libraries, and SDKs for a modular, plugin-based platform and connecting front-ends using typed SDKs and MCP-based interfaces.

Developing real-time UIs that process and display high-frequency market and on-chain data from various streaming sources using canvas-based charting and D3.js for unique views.

Guiding architecture and performance decisions for modular, extensible systems, maintaining automated testing and code review processes, and mentoring colleagues in best practices.

Key Requirements:

7+ years of hands-on experience in full-stack development with ownership of production on both the back-end and front-end.

Proficient in current TypeScript, HTML, and CSS along with a modern front-end framework such as Svelte, React, or Vue.

Strong Go experience capable of self-sufficiently designing, building, and operating production Go services.

Demonstrated ability in handling large datasets and real-time updates from back-end sources, constructing well-structured UI components and shared abstractions.

Sound understanding of performance optimization and rendering strategies in data-intensive applications, including the JavaScript runtime.

Thorough testing skills with unit and integration tests forming a standard part of the delivery process.

Excellent cross-functional communication skills along with experience with a major cloud platform and version control systems.

Desirable Skills:

Background or keen interest in trading systems or financial platforms, possibly including prior experience in hedge funds or proprietary trading.

Experience with real-time, streaming, or on-chain/crypto market data.

Knowledge of MCP or other AI-native/agent integration principles.

Experience building developer platforms, SDKs, or shared component libraries. Familiarity with CI/CD, Docker, and observability tools such as Datadog, Grafana, or ELK.

Further details regarding data processing in the context of the hiring process can be requested by contacting us directly.

AI Engineer, Trading Ops & Management

London, UK
London, UK
Full time
Hybrid
We are looking for a highly analytical and technically skilled individual to lead the advancement of our trading infrastructure. This unique role encompasses the operational responsibilities of a Trading Operations Specialist, the analytical aspects of a Risk Manager, and the technical expertise of an AI-focused Developer.

The ideal candidate will oversee daily operational processes, risk monitoring, and drive the digital transformation of these functions. Utilizing Large Language Models (LLMs), machine learning techniques, and advanced scripting, you will automate manual tasks, enhance predictive risk modeling, and develop real-time performance visualization tools and analyses.

Key Responsibilities:

Trading Operations and Performance Analysis with AI

Coordinate the entire trade lifecycle across various asset classes. Implement AI workflows using Python (ML) and MLOps tools to automate manual tasks and reconcile operations.

Conduct daily profit and loss attribution analysis, dissecting market movements, Greeks, and new activities. Employ AI/ML frameworks for anomaly detection in trade data and automated commentary generation for profit and loss reports.

Maintain data accuracy within trading systems, middle-office platforms, and financial ledgers.

Utilize AI tools to create reports and analyses on trading performance and perform adhoc business analytics.

Risk Monitoring & Control

Develop real-time, AI-powered risk models using machine learning to forecast market volatility and alert the desk to emerging risks.

Establish and update advanced risk reporting dashboards for the desk.

Requirements & Qualifications:

Experience: 3+ years in front-office operations, quant development, or a mix of risk management and systems architecture in a financial setting.

Technical Proficiency: Advanced skills in Python (for AI/ML) and strong understanding of SQL. Experience in developing AI workflows is highly advantageous.

Financial Knowledge: Familiarity with profit and loss attribution, financial controls, market risk indicators (Greeks, VaR), financial markets, and products.

Problem-Solving: Ability to approach operations with a "systems-thinking" mindset, aiming to automate manual tasks wherever possible.

Capacity: Capability to excel in a high-pressure environment, including working extended hours as needed to meet global trading requirements.

AI Engineer, Trading Ops & Management

Hong Kong
Hong Kong
Full time
Hybrid
We are looking for a highly analytical and technically skilled individual to drive the advancement of our trading infrastructure. This multifaceted role combines the tactical responsibilities of a Trading Operations Specialist with the strategic analysis of a Risk Manager and the technical expertise of an AI-focused Developer.

The ideal candidate will oversee daily operational processes and risk assessment while leading the digital transformation of these functions. You will utilize Large Language Models (LLMs), machine learning, and advanced scripting to automate manual tasks, enhance predictive risk modeling, and create real-time performance tools and analyses.

Key Responsibilities:

Trading Operations and Performance Analysis with AI

Manage trade lifecycles across various asset classes and automate operations using Python (ML) and MLOps tools.

Conduct P&L attribution analyses and utilize AI/ML frameworks to identify anomalies in trade data.

Maintain data integrity across trading systems and finance platforms.

Develop AI-driven reports on trading performance and conduct adhoc business analytics.

Risk Monitoring & Control

Create real-time, AI-powered risk models to predict market volatility and monitor cross-market risks.

Establish and update sophisticated risk dashboards for monitoring purposes.

Requirements & Qualifications:

Experience: 3+ years in front-office operations, quant development, or a combination of risk management and systems architecture in finance.

Technical Stack: Advanced proficiency in Python (AI/ML) and strong SQL skills. Experience in crafting AI workflows is advantageous.

Financial Acumen: Proficient in P&L attribution, financial controls, market risk indicators, and financial products.

Problem Solving: Ability to solve operational challenges with automated solutions.

Capacity: Thrive in a high-pressure environment with flexibility to accommodate global trading demands.

We may utilize AI tools to assess your Resume/CV against the job requirements to aid our recruitment process. These tools support but do not replace human decision-making. Final hiring determinations are made by humans considering the tool insights and other relevant factors. For further information on personal data processing, please get in touch with us.