Demo

Gen AI Project Manager

WorldLink US
Mountain View, CA Full Time
POSTED ON 1/14/2025
AVAILABLE BEFORE 4/2/2025

TITLE : Gen AI Project Manager

POSITION TYPE : Full Time (W2)

LOCATION : Mountain View, CA

ABOUT WorldLink :

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

For more information about our craft, visit .

WHO we’re looking for :

We are looking for a Gen AI Project Manager who will be responsible for playing a pivotal role in driving the success of GenAI Health projects by providing leadership, strategic oversight, and operational excellence. You will collaborate with cross-functional teams, including researchers, engineers, designers, health coaches, physicians and product managers, to ensure the efficient execution of GenAI initiatives. This is a unique opportunity to work on cutting-edge projects that will shape the future of Health AI.

You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health / wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. With a unique advantage in the consumer electronics market and growing focus on digital health, this will provide you with exciting technical challenges and a rewarding career experience.

The Digital Health Team (DHT) is an interdisciplinary team with an aim to empower providers, consumers, and clinical researchers. Creating hyper-personalized health applications leveraging GenAI / LLM technologies, develop prognostic biomarkers by applying clinically explainable AI on advanced sensing technology, explore use cases by co-innovating with our partners, and design services through pilots that eventually turn into groundbreaking commercial, consumer-grade products that are used every day.

Role and Responsibilities :

  • Lead and drive planning, execution, and delivery of GenAI programs to achieve strategic goals and milestones, including kick starting 0 to 1 efforts.
  • Build strategic capabilities (e.g., data-driven processes, frameworks, analytical tools) to identify and prioritize opportunities to accelerate GenAI product development cycles.
  • Collaborate closely with GenAI research, engineering, UI / UX, health experts and product teams to align program objectives with broader organizational goals.
  • Proactively identify program risks, develop and execute mitigation plans, and communicate rationale and updates clearly.
  • Guide the work of onshore and offshore workers to complete data annotation / evaluation projects.

Required Experience and Education :

  • 5 years of proven experience with a track record of successfully delivering complex projects.
  • Bachelor's degree required.
  • Experience prioritizing and ensuring key initiatives move forward, managing multiple cross-functional stakeholders, and working with urgency.
  • Preferred) Experience in consulting, product strategy, and / or building operations 0 to 1 to 100.
  • Preferred) Experience in AI, machine learning, or related fields.
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