Senior Product Manager - AI/Generative Models
: Job Details :


Senior Product Manager - AI/Generative Models

Pivotal Life Sciences

Location: San Francisco,CA, USA

Date: 2024-11-13T08:44:08Z

Job Description:
Pivotal Life Sciences - Senior Product Manager - AI/Generative Models Intro If WHO you work for & with and WHY your company exists is at the top of your list of criteria for choosing your next opportunity, we encourage you to take a look at the roles we are hiring for at Pivotal Life Sciences (PLS) and join our growing team of data scientists/engineers working together toward a common goal-the health and care of the patient. We're looking for people to not only join us-but to be a big part of the solution. To do more and be more. To do well and do good. If you can see the bigger picture and bring it to life, let's connect! Pivotal Life Sciences background Pivotal Life Sciences ( PLS ) is a global investment platform focusing on the life sciences. Pivotal Life Sciences is part of the nan Fung Group and leverages the Groups strong capital base and long-term commitment to the space. Pivotal Life Sciences aims to become the ideal partner for scientists, entrepreneurs, corporations, and investors in the sector. Through direct investments via Pivotal bioVenture Partners funds (both in US and China) and fund investments covering the full spectrum of the industry (including therapeutics, medical devices, and diagnostics) and across different development stages, Nan Fung Life Sciences has significant presence in both US and Greater China. Learn more at Location: San Francisco, CA, USA The Vision PLS envisions becoming the life sciences investment industry's best tech and AI-enabled investment platform. The AI team aims to provide best-in-class intelligence support across all steps of the investment process, from deal sourcing to exit. The system will function as an additional team member and help augment the investment team to make better investments and build better companies for unmet therapeutic needs. Ultimately, PLS will become a scientifically driven investor across the life science ecosystem from academic spinouts to venture rounds and to exit. Be part of our vision! The Role We are seeking an innovative Senior Product Manager to lead the development of a cutting-edge AI platform, integrating a suite of component products that leverage biological, clinical, financial, people, and company data. The platform is designed to deliver actionable insights and predictive analytics that empower investors to make data-driven decisions. Key responsibilities: Product Vision and Strategy:
  • Define and manage a strategic product vision for an AI platform that advances the investment process, comprising modules that use biological, clinical, financial, people, and company data for enhancing decision-making through data insights and predictions.
  • Collaborate closely with Data Science and Investment teams to identify and prioritize key metrics and model requirements that align with and accelerate investment objectives.
Management and Cross-Functional Collaboration:
  • Partner with Data Science and Investment stakeholders to design and develop AI-driven tools that reveal insights and support the achievement of investment goals.
  • Serve as a bridge between teams, ensuring alignment around the product vision and advocating for user needs.
  • Manage a small team composed of another product manager and a UX/UI designer
User-Centric Product Development:
  • Execute core product management principles, including:
  • Understanding and representing user needs and expectations.
  • Conducting competitive analysis and staying informed of market trends.
  • Prioritizing features and functionalities that maximize value and ease of use.
  • Apply world-class product management skills to enhance usability and drive platform adoption across teams.
Stakeholder Management:
  • Exhibit strong business acumen and stakeholder management skills to balance multiple, often competing priorities, ensuring the delivery of maximum product value.
  • Utilize storytelling and data visualization techniques to enhance data interpretation, enabling investment teams to interact meaningfully with data and foster a cultural shift towards AI-driven solutions.
Innovation and Continuous Improvement:
  • Stay at the forefront of emerging AI, business intelligence trends, and tools, continuously evolving the platform to maintain relevance and sophistication.
  • Plan and manage product evolution to address new business questions and opportunities while maintaining a focus on simplicity and usability.
Competencies
  • 5+ years of relevant experience in Product Management - working within AI, analytics, life sciences, data, high tech, investment
  • Experience working within an Agile product management environment. Including experience with product management tools such as Atlassian's suite of products - Confluence, Jira, etc..
  • Familiarity with data engineering pipeline / ETL processes
  • Experience with Machine Learning and/or AI is a considerable plus
  • Comfortable assessing financial impact and writing recommendations + delivering presentations for large audiences
  • A Bachelor's Degree or higher in a quantitative field of study (e.g., Business, Finance, Data Analytics, Computer Science, Life Sciences, Economics)
  • Does not require employer immigration sponsorship now or in the future
Additional Information Salary range: $259,000-$330,000 Total Compensation Package (Includes base salary + up to 20% annual performance bonus) Hybrid work schedule: In person 3 days/week (M/W/Th), San Francisco Headquarters In return for your excellent skills and abilities, we offer a generous benefits package including salary, health insurance, 401K, STD/LTD, Life Insurance/AD&D, paid holidays, and vacations, Winter break, free lunch, monthly reimbursement for gym, commuting, cell phone & home WIFI. Pivotal is committed to providing equal employment opportunities regardless of race, religion, creed, color, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, veteran status, citizenship status, or marital status.
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