Jobs at Provenir, Inc.

Designs, develops, and operationalizes large-scale backend, API, graph, AI, and machine learning solutions. Responsibilities include technical leadership, cloud-native architecture, roadmap development, testing, code reviews, mentoring, recruitment, stakeholder communication, and improving engineering processes. The role requires extensive Java and Spring experience, AWS cloud development, RESTful APIs, stream processing, low-latency applications, generative and agentic AI, and strong software delivery practices.

Partners with sales and customer-facing teams to sell Provenir’s risk-decisioning platform. Conducts customer discovery, delivers tailored demonstrations, presents solution value, supports RFPs, and leads design and architecture workshops. Advises clients on credit risk, fraud prevention, and financial crime detection while aligning AI/ML capabilities with business needs. Maintains demonstration environments, supports webinars and thought leadership, coordinates solution handoffs to Professional Services, and shares customer insights with Product and internal teams.

Own and prioritise the platform product backlog, work with remote engineering to refine stories and unblock delivery, shape roadmap with leadership, gather and validate requirements with stakeholders/customers, write user stories and acceptance criteria, and balance features, technical debt and operational stability while understanding APIs, data models and integrations.

Generate and qualify new business leads within financial services by researching prospects, conducting needs analyses, engaging C-level contacts, logging activity in Salesforce, collaborating with marketing, and handing off qualified opportunities to sales.

Lead product strategy and lifecycle for Decisioning & Decision Intelligence capabilities. Own roadmap, define functional and technical requirements, run market research, craft commercial propositions and GTM, and enable Sales/Customer Success and Pre-sales. Mentor product teams, collaborate with engineering, design, and cross-functional stakeholders, and track product performance to drive revenue growth.

Senior, customer-facing consultant who combines deep consumer/commercial credit risk expertise with commercial advisory to drive enterprise decisioning strategy, influence product and sales, lead discovery workshops, create thought leadership, and demonstrate measurable business outcomes across the customer lifecycle.

Lead commercial strategy and operations partnered with the CCO to design operating cadence, governance, KPIs, and cross-functional programs that drive measurable revenue outcomes and scalable growth across Marketing, Sales, Solutions Consulting, Customer Success, Sales Enablement, and Revenue Operations.