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About the Role
Product managers in Faculty’s Applied AI group partner with ambitious organizations to help them reinvent how they work, compete, and serve people with AI. As a Lead Product Manager, you will take on large strategic client engagements, leading teams and driving the strategic direction of high-impact AI products for clients, balancing technical considerations and user needs to achieve commercial outcomes.
Responsibilities
- Build and ship impactful products that realize the potential of frontier AI.
- Act as a trusted advisor to senior stakeholders at clients on their product and AI strategies.
- Lead discovery to identify the right problems to solve, using clear hypotheses and success measures to decide what gets built.
- Keep teams focused on outcomes by defining clear goals, shaping prioritization, and articulating trade-offs.
- Embed innovation culture among clients, guiding and inspiring them.
- Collaborate with cross-functional teammates to set the quality bar for AI products, including the eval strategy.
- Build lasting product development capability in client organizations.
- Advise clients on how AI can accelerate and improve their product development lifecycle.
- Contribute to Faculty's product practice through developing case studies, thought leadership, and repeatable methods.
- Partner with Delivery leads on planning and execution, including supporting business development and fostering strong client relationships.
- Coach and develop other product managers.
Requirements
- Substantial experience conceiving, building, and launching products at scale, including at least 2 years in a product leadership role.
- Routinely worked directly with C-suite or equivalent senior leaders at significant, successful organizations.
- Exceptional commercial acumen; have made the case for new products or services and defended it with senior budget holders.
- Relish unstructured problems and can turn them into clear plans that teams can execute.
- Comfortably converse with experts in how AI models are created, evaluated, and operationalized.
- Demonstrable experience in rolling out cutting-edge AI-accelerated product development processes.
- Clear track record of mentoring team members and fostering a collaborative, ambitious culture.
- Show forward-thinking initiative to spot new client opportunities, solve ambiguous problems, and build enduring organizational value.
Skills
- AI
- Product Management
- Strategic Leadership
- Stakeholder Management
- Discovery
- Decision-making
- Execution
- Product Development
- Team Leadership
- Commercial Acumen
- Problem Solving
- Mentoring
- Business Development
- Client Relationship Management
Location
- Remote
Work Type
- Full-time
- Part-time
Experience Level
- Lead
- Senior
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defense.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement the most powerful applications of AI.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Diversity strengthens the principle of seeking truth and leads to better work relevant to the world.
- Faculty is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Strongly encourage applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Encourage applications even if not all requirements are met, if the candidate is excited by the role and brings key strengths.
- Open to conversations about part-time hours.
- AI can be used for research and interview prep, but not for generating answers during live interviews.
- An AI note-taker (Metaview) may be used in interviews, with an option to opt-out.
- Every application is reviewed by a human.