Product Manager - AI/ML
VersaPay
What you'll do:
- In this role, you will be responsible for iterating existing experiences, driving data-led experiments and delivering brand-new products. We want to find someone who is curious, can learn quickly, think creatively, and work collaboratively.
- Unify product strategy: Set the vision and direction for the product. Identify opportunities for cross-product collaboration, standardization and unification of various product lines and execute on agreed-upon strategies
- Identify progressive product features leveraging forward thinking technology, data, and tools, including ML or AI, that will provide a significantly differentiated value to the Versapay network suppliers and buyers helping them to drive significant efficiencies in accounts receivables
- Own the Product Development Life Cycle: Lead product end-to-end as part of dedicated squads throughout the entire development cycle, including top-end discovery and go-to-market.
- Be the expert on the product and customer: Know the product inside and out and understand who is using it and what they need to accomplish. Participate in market and technical design sessions, prototypes, and iteration planning meetings to build a product high in utility and adoption.
- Partner across teams: Leads agile cadences with designers and engineers to ensure alignment and prioritization. Collaborate with Marketing, Professional Services, Sales, and Success leaders to clearly define and develop the product’s value proposition and utilization across the organization.
- Conduct in-depth market research and user analysis to identify opportunities for payments products. Design hypotheses and effective experiments to test and learn.
- Operate in a complex cross-functional environment, leading and influencing others, ultimately resulting in timely tactical decision making to advance our objectives.
- Drive progress:Lead the development process from ideation to launch, including requirement gathering, technical specifications, user testing, and launch strategy. Define and prioritize the product/feature backlog, develop epics, and write user stories. Create customer facing and internal documents, presentations, articles, and training. Facilitate launch, adoption, and success of product go-to-market plans.
What you'll bring to the team:
- 5-7+ years of proven experience in product management, preferably with direct exposure or ownership of translating the business strategy to AI/ML and generative AI products
- A solid grasp of artificial intelligence, machine learning and related technologies is crucial to this role
- Must have strong familiarity with data science principles and practices. Ideal candidate has hands on experience AI/ML frameworks and tools, such as TensorFlow, PyTorch, Savvi AI, Sagemaker.
- 4+ years working with cross functional teams as a product owner in an agile development process.
- Exhibits a “fail fast” mentality using different types of experiments and research frameworks and testing
- Experience with the following: Jira, SQL, Product Analytics tools (like Heap, Mixpanel, and/or Amplitude)
- Proven track record of successfully launching and managing payments products in a competitive environment. Built APIs, products and complex systems at scale.
- “Builder” Mentality: Entrepreneurial and scrappy mindset. Ability to thrive in ambiguous environments with a track record of defining and executing net new initiatives. A desire to solve problems with no obvious path forward.
- Excellent communication skills to articulate complex AI and data concepts to non-technical stakeholders. Strong ability to present to C-level leadership and managing stakeholders.
- Possess deep analytics thinking and proven ability to interpret information to inform decision-making
- Bachelor's Degree in related field and/or relevant professional experience
What will make you stand out:
- Experience with Invoice to Cash processes in a Business-to-Business (B2B) setting, particularly AR billing, treasury and banking services.
- Experience with Fintech or Payments
- Technical understanding of payment frameworks
- Ability to connect to databases to inspect/change data