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IonQ · 1 day ago

Group Product Manager - Life Science Quantum Applications

College Park, MD

Full-time

Hybrid

Senior Level, Lead/Staff

$168K/yr - $220K/yr

8+ years exp

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. They are looking for a highly capable and independent Product Manager to help define the future of applications in life sciences in this new quantum era, focusing on identifying use cases where quantum computers fit into computational workflows.

ComputerElectronicsFinanceInformation ServicesInformation TechnologyMobile AppsQuantum ComputingSoftware

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Quantum application strategy development for life sciences and other industries that require continuous knowledge building, market intelligence, and strategic business analysis, including:

Technology mastery: Develop and maintain a thorough understanding of IonQ's quantum computing offering (hardware, software, and unique advantages) and its technical considerations, as well as the quantum ecosystem players

Targeted life sciences strategy: Identify, prioritize, and articulate the short-term and long-term potential of quantum applications specifically within the life sciences (including pharma, biotech, chemicals, healthcare, etc.), factoring in your knowledge and expertise about industry-specific computational workflows

Objective business case development: Evaluate the attractiveness of identified quantum applications by conducting a rigorous business analysis for each opportunity including TAM/SAM, estimated bottom-up P&L analysis, key customer segments and their computational pain points, scaling channels, and alignment with IonQ's hardware roadmap based on resource estimates in life sciences and in other industries

Customer engagement and consulting delivery includes direct customer interaction, technical and business validation, and translating opportunities into executable plans:

Strategic customer consulting: Lead customer discovery workshops and deliver custom consulting projects to uncover and advance new quantum application opportunities, with a mandate to explore and pursue applications both in life sciences and across diverse sectors

Feasibility due diligence: Ensure the strategic and technical viability of proposed applications by collaborating with quantum applications engineering experts to synthesize and document the near-term and long-term technical feasibility levels

Customer quantum roadmap development: Partner with lead customers and internal engineering teams to build customer-specific application roadmaps by validating key business assumptions through primary research, including expert interviews across industry and academia. Map the problem to quantum algorithms and resource estimates, based on IonQ's technology roadmap, and integrate resulting insights with the customer's long-term business strategy and plans

Cross-functional collaboration and product advocacy to drive internal and external alignment and drive commercial success:

Implementation leadership: Serve as a key liaison between customers/ partners and internal engineering teams to navigate implementation, technical hurdles, and advocate internally for solutions that optimize customer success and delight. This includes translating quantum application requirements to hardware and Product Requirements Documents (PRDs)

Go-to-market input: Collaborate closely with the sales, marketing, and other business teams to inform proposals in the sales funnel (e.g., translating customer needs to quantum applications and algorithms), provide input on pricing strategy, business models, product positioning, and competitive analysis

Qualification

Quantum computingLife sciences expertiseMarket analysisMachine LearningArtificial IntelligenceHigh-Performance ComputingCustomer engagementBusiness analysisTechnical validationCross-functional collaboration

Required

8+ years of professional experience or an equivalent combination of education and experience

Have experience in computing workflows across life sciences (computational chemistry, logistics optimization, imaging analysis, etc.)

Capable of establishing fruitful relationships with existing and future customers, leading to the type of insights required for developing solutions for their current and future needs

Have significant experience managing complex market analysis projects (including industry landscaping) with significant ambiguity and partial information

Comfortable dealing with advanced technologies, even if you have clear knowledge gaps, while collaborating with a broad range of engineering experts and scientists to achieve product goals

Capable of organizing requirements and priorities despite ambiguity - drive results, and form plans for validating product ideas that offer clarity

Enjoy and have practice collaborating with multiple business, research, and engineering teams to drive concrete results

Preferred

Technical degree in life sciences (e.g., chemistry, pharmaceuticals) with a focus on computational methods

Worked in or closely with computational scientists in the pharmaceutical, chemical or biotech industries and have a very deep technical understanding of the computational tools and workflows as well as AI/ML models used in these industries

MBA degree with real-world experience putting your business education into practice, especially in coming up with business analysis for the purpose of investment (estimating ROI with partial information)

Basic experience and/or understanding of quantum computing hardware and/or software (again, not a must)

Practical experience with diverse computer science techniques and technologies such as Machine Learning, Artificial Intelligence, Machine Vision, High Performance Computing, optimization algorithms, etc

Experience being part of an entrepreneurial team, building a new category and businesses from scratch, and making products/services successful in their marketplace

Experience running market sizing exercises, for example, in a platform-focused product management role, management consulting, or a venture capital role

Contributed to the identification and segmentation of markets for novel advanced technology where the market is nascent, and data is limited

Strong foundational knowledge about science in general, enough to converse and engage with scientists on a broad range of topics