Senior Sales Engineer

Provenir is the unified Decision Intelligence Platform that gives enterprises full control over end-to-end customer decisioning — to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually — turning architectural coherence into sustained risk performance and measurable value.

About the role

Provenir is seeking a Senior PreSales Consultant who is a business thought leader and will partner with the company’s customer-facing teams to sell Provenir’s risk-decisioning platform. The role involves understanding customer business challenges and using expert knowledge of Provenir solutions from both business and technical perspectives to deliver a compelling value proposition. This role reports directly to the Vice President of Pre-Sales, North America, and plays a critical role in influencing new revenue growth by shaping solution strategies, enhancing win rates, and accelerating sales cycles. The Senior PreSales Consultant will collaborate closely with Sales, Product, Marketing, Professional Services, and Data Science teams.

Responsibilities

External Focus

• Conduct customer discovery to elicit needs, issues, and pain points
• Create compelling storytelling demonstrations and presentations of the Provenir offering to address customer challenges
• Articulate the benefits and potential value of the proposed solution to the customer
• Support the sales cycle through Q&A sessions and workshops
• Contribute to answering customer RFPs; responsible for business and technical content by adapting boilerplate responses, writing new content, and coordinating with subject matter experts
• Conduct design and architecture workshops with prospective clients to collaboratively define solution blueprints that meet business and technical objectives
• Collaborate closely with Professional Services to ensure seamless handoff and alignment of proposed solutions with delivery plans and implementation strategy
• Partner with internal Data Science teams to align client needs with Provenir’s advanced analytics capabilities, including AI/ML modeling strategies and outcomes
• Develop and maintain demonstration environments tailored to client industry use cases, including configuration of Provenir’s platform based on discovery findings
• Deliver and support webinars, conferences, and speaking engagements on behalf of Provenir, representing thought leadership in credit risk, fraud, and financial crime
• Serve as a subject matter expert in Credit Risk, Fraud Prevention, and Financial Crime Detection, advising clients and internal teams on market trends, regulatory pressures, and best practices
• Demonstrate leadership in guiding clients on the value and differentiation of Provenir’s platform and ecosystem offerings

Internal Focus

• Collaborate with sales and other internal stakeholders to address prospect objections or functional gaps, ensuring balanced commercial decisions and assessing internal impacts
• Document sales process artifacts, including customer needs and potential solution options, to ensure a smooth transition to the Professional Services delivery organization
• Share developed content and documentation with the global PreSales team and wider Provenir team for continuing education, demonstration, and process improvement
• Contribute to internal enablement sessions, including new starter onboarding and lunch-and-learns
• Work closely with Product Managers to incorporate learnings and insights from customer interactions into roadmaps, ensuring continued market relevance of solutions

Requirements

• Minimum of 5 years of experience supporting or collaborating with sales teams, ideally within a software vendor or consulting environment
• At least 3 years of experience in the financial services industry, particularly in decisioning; familiarity with areas including Credit Risk, Application Fraud, Financial Crime and Sanctions, Portfolio Management, and/or Collections
• Bachelor’s degree in Business, Computer Science, or a related discipline
• Proven ability to collaborate, build trust, and maintain strong relationships with both internal and external stakeholders
• Excellent planning and organizational skills; able to manage priorities across multiple workstreams
• Strong documentation and communication skills with sharp attention to detail
• Proficient in college-level writing, editing, and proofreading
• Self-motivated team player who can also work independently
• Demonstrates intellectual curiosity and eagerness to learn

Preferred Qualifications

• Experience with enterprise technologies, including a basic understanding of model build, programming, and integration patterns
• Prior software Professional Services / Implementations experience
• Exposure to business intelligence reporting tools, analytics, and data-driven decisioning platforms
• Familiarity with industry best practices in credit risk, fraud detection, and AI-driven financial services solutions

Schedule

This is a remote role based in the United States (East or Central time preferred). Some travel is required (up to 25%) for client meetings, conferences, and internal business needs. The role may also require occasional international travel for regional team meetings, global sales kickoffs, or other company events. All business travel expenses will be covered in accordance with the Company’s travel policy.

Benefits

• Comprehensive health and wellness plans
• Paid time off and company holidays
• Flexible and remote-friendly opportunities
• Maternity/paternity leave

At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, veteran status, or medical condition.