Staff Fullstack Engineer (Senior Level)
Staff Fullstack Engineer (Senior Level)
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5years
250000 - 275000
1 Vacancy
Job Description
This is a remote position.
We re seeking a Staff Engineer to help drive technical excellence and innovation across our platform with a particular focus on leveraging AI to transform how global talent connects with opportunities. You ll work on complex technical challenges that span our entire platform from AI-powered matching algorithms to scalable marketplace infrastructure.
Exceptional Leadership:
You don t need to be a people manager to be a leader and you ll serve as a role model for the rest of the company. Think about the feedback your peers typically give you if it usually sounds like the below we want to hear from you.
- Low ego low drama servant leader: You share credit take blame. You like being wrong because it means someone else had an even better idea.
- One team mentality: You break silos across teams. You put the company and mission first above yourself and team alone.
- Great listener hungry for feedback: You re always seeking to improve our product our business yourself. You solicit diverse opinions and deeply listen.
- Owner not renter: You see a problem you fix it or find someone who will. The buck stops with you.
- Player-coach: You roll up your sleeves and get scrappy. You do this by proactively collaborating with your team while actively engaging in important details.
- Business problem solver: You re not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.
KEY RESPONSIBILITIES:
Technical Leadership
Drive architectural decisions and technical strategy for key platform initiatives.
Design and implement core platform capabilities that power our AI-driven talent matching.
Lead the technical evolution of our systems to support rapid scaling and enhanced AI capabilities.
Mentor other engineers and elevate the technical discourse across the organization.
Collaborate with product teams to translate ambitious goals into practical technical solutions.
System Design & Implementation
- Architect and build scalable systems that handle complex matching algorithms and marketplace dynamics.
- Design and implement AI-powered features that enhance our talent evaluation and matching capabilities.
- Create robust maintainable solutions that can scale with our global user base.
- Establish technical standards and best practices for system reliability and performance.
Cross-functional Impact
- Work closely with product managers to shape technical strategy and execution.
- Partner with data scientists to implement and optimize AI/ML models.
- Collaborate with security teams to ensure compliance with global data privacy regulations.
- Guide technical decisions across multiple teams and work-streams.
Requirements
MUST BE ELIGIBLE TO WORK IN THE USA WITHOUT SPONSORSHIP.
- 10 years of professional software engineering experience.
- 7 years of technical leadership experience driving complex projects.
Strong background in distributed systems and scalable architectures. - Experience building and scaling marketplace platforms or similar complex systems.
- A track record of making significant technical decisions that impacted product direction.
- Experience mentoring engineers and driving technical excellence.
- Strong understanding of AI concepts and their practical applications.
- Excellence in written and verbal communication particularly in technical contexts.
- This role is US-based.
- Experience with AI/ML platform development.
- Background in talent matching algorithms or recommendation systems.
- Experience with large-scale data processing and analytics.
- Familiarity with global compliance and data privacy requirements.
- A track record of publishing technical content or speaking at conferences.
- Experience working with distributed remote teams.
Benefits
- Fully Remote work culture - we hire globally and all of our roles are fully remote!
- Bring your own device stipend - buy your own laptop with funds from us
- Flexible working hours
- Equity (as a part of the compensation package)
- Healthcare 401k / pension
- Generous Paid Time Off Parental Leave Compassionate Leave
Bachelor s degree or higher in Computer Science, Engineering, Data Science, or a related technical field. ****10 Years of experience required**** Proven experience implementing machine learning algorithms and solutions at scale in production environments. Demonstrated experimental mindset, adept at hypothesis testing, experimentation design, and rigorous validation techniques. Expert proficiency in Python and experience with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and related ML technologies. Extensive experience building and deploying scalable ML pipelines and working within cloud infrastructure environments such as AWS, GCP, or Azure. Strong understanding of data structures, algorithm design, and performance optimization techniques. Exceptional problem-solving abilities, coupled with excellent collaboration and communication skills. Track record of technical leadership, mentorship, and successful cross-functional collaboration in agile, dynamic environments.
Education
Degree in technology
Employment Type
Full Time
