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Engineering Manager remote

Remote / Online - Candidates ideally in
1000, Amsterdam, North Holland, Netherlands
Listing for: Framework Ventures
Remote/Work from Home position
Listed on 2026-05-10
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 EUR Yearly EUR 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Engineering Manager 100% remote

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building with a global financial revolution. Our solutions enable tokens across blockchains for partners including exchanges, wallets, payment processors, and ATMs. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether.
Tether Finance: Our innovative product suite features the world’s most trusted stablecoin,
USDT
, alongside digital asset tokenization services.
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET
, our flagship app that redefines secure and private data sharing.
Tether

Education:

Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

  • Our team is a global talent powerhouse, working remotely from every corner of the world.
  • If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards.
About the job

As the Engineering Manager for QVAC, our Local AI SDK, you will lead a cross-functional team of C++ and JavaScript developers focused on building and optimizing AI tools for local deployment. This role involves overseeing the development lifecycle, from planning to deployment, in a fast-paced environment where performance and efficiency are critical.

You will report to the Head of AI Development and play a key role in advancing our AI capabilities for edge computing applications.

Responsibilities
  • Own timely and high-quality delivery of features by establishing clear milestones, conducting code reviews, and working with the project management team to track progress and mitigate risks.
  • Manage team leads and individual contributors, organizing workflows according to the product roadmap, including resource allocation, sprint planning, and performance evaluations to foster team growth and productivity.
  • Collaborate with cross-functional teams, such as product management and research to ensure SDK compatibility across platforms, resolve integration issues, and align on technical standards.
  • Ensure that the solutions developed are of high technical standards and follows robust architectural practices established within the company
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
  • 8+ years of combined experience in JavaScript and C++ development, with proven engineering management experience leading SDK or similar software development projects, including hands-on involvement in architecture design and team scaling.
  • Strong understanding of AI frameworks and low-level hardware optimizations, such as GPU/CPU acceleration, tensor operations, and memory management techniques essential for efficient local AI inference.
  • Excellent communication and leadership skills, with a track record of leading large teams (40+ members) through complex projects, including conflict resolution, mentoring, and stakeholder management.
Nice to have
  • Experience with AI SDKs like Tensor Flow Lite, ONNX Runtime, or similar tools for local deployment.
  • Familiarity with cross-platform development, including Web Assembly for JavaScript integration with C++ backends.
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