Jobs at Provenir, Inc.

Drive enterprise revenue for Provenir’s Agentic AI Platform, initially expanding within existing clients and then acquiring new-logo customers. Build expertise in fraud and financial crime, lead complex 6–12+ month sales cycles, develop value-based business cases, engage C-level stakeholders, coordinate cross-functional teams, negotiate multi-year agreements, and maintain accurate pipeline forecasting. The role targets regulated financial services organizations and high-value contracts of approximately $1M+ annually.

Design and automate performance tests for microservices, APIs, UIs, and databases. Execute load, scalability, and stress tests, monitor and analyze metrics, identify bottlenecks, recommend fixes, and integrate tests into CI/CD pipelines while collaborating with dev teams.

Support client and internal data science engagements by building, validating, and explaining predictive models, scorecards, decision rules, segmentation analyses, simulations, and business insights. Use Python for data preparation and analysis, communicate technical findings to technical and non-technical stakeholders, contribute to workshops and demonstrations, and document reproducible solutions. Collaborate globally across sales, product, technology, and applied intelligence teams while applying model governance, monitoring, testing, and delivery best practices.

Drive new enterprise revenue and expand strategic relationships across Southern Africa. Responsibilities include refining go-to-market strategy, prospecting, consultative selling, product demonstrations, proposal development, partner building, contract negotiation, deal closing, CRM management, forecasting, and executive stakeholder engagement. The role focuses on complex, multi-year technology sales to financial institutions and requires managing long enterprise sales cycles.

Generates and qualifies new B2B sales leads in the financial services and fintech sectors. Responsibilities include researching target accounts, identifying decision-makers, conducting needs analyses, personalized prospect outreach, maintaining accurate Salesforce records, nurturing leads, and transitioning qualified opportunities to the sales team. The role collaborates with Marketing on campaigns and events and requires quota-driven prospecting, enterprise account engagement, strong communication, and fluency in Bahasa Malaysia and Mandarin.

Drive new enterprise revenue across the Nordic region by prospecting, qualifying, and closing complex multi-year technology deals. Build direct and partner sales channels, manage strategic accounts, conduct discovery and product demonstrations, prepare proposals, negotiate contracts, and coordinate procurement. Develop executive relationships within financial institutions, maintain CRM data, forecast performance, and collaborate with Customer Success on expansion opportunities.

Own the strategy, design, and production development of Provenir’s identity graph and graph-driven intelligence. Build pipelines for identity resolution, link analysis, clustering, anomaly detection, ranking, and fraud intelligence. Partner with engineering and product teams to translate business problems into product capabilities, establish data science standards, and ensure quality, scale, and explainability. Mentor colleagues and eventually grow a data science team while remaining hands-on with graph methods, analytical tooling, and pragmatic AI applications.

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.

Researches enterprise prospects in financial services, identifies decision-makers, conducts needs analysis, and generates and qualifies leads for the sales team. Uses LinkedIn Navigator, 6sense, ZoomInfo, and Salesforce to build prospect databases, personalize outreach, manage CRM records, and nurture leads. Collaborates with Marketing and Sales, engages C-level B2B contacts, supports campaigns, and operates in a quota-driven environment.

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.

Design and maintain automated tests for web applications, APIs, microservices, graph databases, analytics, AI/ML models, and agentic workflows. Build quality gates in CI/CD pipelines, provision ephemeral test environments, validate probabilistic outputs, monitor test reliability, and support root-cause analysis. Partner with engineering and data science teams on shift-left testing, model evaluation, graph data validation, release automation, and process improvements.

Build and maintain scalable enterprise software, primarily front-end applications within the Angular ecosystem. Design reusable components, integrate APIs and backend services, and support multi-tenancy and high availability. Participate in the full software development lifecycle, including design, testing, deployment, and maintenance. Collaborate with architecture and development teams in an agile environment while contributing to new products and enhancements.

Support Latin American client engagements by building, evaluating, interpreting, and explaining data science solutions for decisioning, risk, fraud, collections, and business automation. Use Python and machine learning libraries to prepare data, develop models, create insights, and provide recommendations. Collaborate with Sales, Product, Technology, and Data Science teams; contribute to workshops, demonstrations, documentation, testing, monitoring, and client delivery. The role is remote from São Paulo, requires Portuguese and English fluency, and may involve occasional travel.

The AI Engineer will design, develop, and deploy machine learning models, work on APIs for AI applications, and manage ML pipelines on AWS. Responsibilities include productionizing AI systems and developing scalable solutions in a cloud-native environment.

Lead pre-sales engagements for Provenir's decisioning platform: conduct customer discovery, design solution architectures, build tailored demos, respond to RFPs, collaborate with Sales, Data Science, and Professional Services, and serve as subject matter expert in credit risk, fraud, and financial crime to drive deals and ensure smooth delivery handoffs.

The Enterprise Account Executive drives revenue through high-value contracts, managing complex sales processes and relationships with executive stakeholders in financial services.

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.

The Senior Marketing Lifecycle Manager will lead lifecycle marketing strategies, manage email marketing through Salesforce/Pardot, and ensure integration with sales and marketing efforts to drive engagement and revenue growth.

Architect and innovate a cloud platform, manage Kubernetes operations, optimize CI/CD pipelines, and support data infrastructure while collaborating with various teams.

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.