Manager, Sales Engineering
The Sales Engineering Manager will lead and scale FreedomPay’s Sales Engineering team, driving technical pre-sales excellence across the organization. This leader will be the connective tissue between Sales, Product, and Technology — ensuring the team can compellingly communicate FreedomPay’s platform story, win complex deals, and deliver world-class partner and client experiences.
This role will also be responsible for embedding AI-driven capabilities, automation, and scalable infrastructure into the pre-sales function- enabling the team to operate more efficiently, reduce manual effort, and increase throughput without compromising quality.
The ideal candidate brings deep fintech expertise, a proven track record of building and scaling high-performing Sales Engineering or Sales Consultant teams, and the executive presence to engage stakeholders at every level
Team Leadership & Development
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Lead, mentor, and grow a team of Sales Engineers, fostering a culture of technical excellence, curiosity, and client focus.
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Define team structure and career development frameworks to scale the function in line with business growth.
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Set clear performance expectations, conduct regular reviews, and develop individual growth plans for all direct reports.
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Build onboarding programs and internal training curricula to continuously elevate team capability.
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Champion the adoption of AI-enabled tools and automation within the team, upskilling Sales Engineers on how to leverage these technologies to improve productivity and consistency.
Pre-Sales Strategy & Execution
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Own the end-to-end pre-sales engineering motion, including technical discovery, RFI/RFP responses, and proof-of-concept delivery.
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Partner closely with Sales leadership to prioritize and resource opportunities, ensuring the team is deployed effectively across the pipeline.
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Establish and refine repeatable pre-sales processes, playbooks, and best practices that improve win rates and reduce deal cycle times.
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Lead or actively participate in strategic, high-value pre-sales engagements — including point-of-sale, eCommerce, and mobile integration discussions with enterprise merchants and partners.
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Identify and implement opportunities to automate portions of the pre-sales lifecycle (e.g., RFP responses, demo provisioning, discovery insights), improving speed, accuracy, and scalability.
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Leverage data and AI-driven insights to optimize pipeline coverage, resource allocation, and deal prioritization.
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Serve as a senior Subject Matter Expert on the FreedomPay platform, guiding the team to deeply understand client environments and match them to the best available solutions.
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Maintain a strong pulse on the FinTech and payments landscape to position FreedomPay’s solutions competitively and credibly.
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Evaluate and introduce emerging AI and automation technologies that enhance solution design, client storytelling, and technical validation processes.
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Act as the primary liaison between Sales Engineering and Product, Solution Engineering, Systems Integrations, Account Management, and Partner teams — ensuring feedback loops are tight and client needs are accurately represented.
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Champion product and proposition enhancements by synthesizing field intelligence from the team into structured input for product roadmap discussions.
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Partner with Product and Technology teams to influence the development of scalable, automation-friendly features that improve implementation efficiency and pre-sales repeatability.
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Drive the creation and maintenance of high-quality sales assets — presentations, demo environments, integration guides, and RFP content — that accurately reflect FreedomPay’s evolving platform.
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Oversee and govern the Sales Engineering knowledge base across Confluence, SharePoint, and Responsive (RFP response software).
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Represent FreedomPay at industry conferences, client meetings, and partner events as a credible technical and solutions leader.
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Lead the evolution of AI-powered knowledge management and content generation systems to ensure the team can access accurate, real-time information at scale.
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Establish scalable demo environments and reusable solution architectures that reduce manual setup and enable consistent, high-quality client experiences.
Technical & Solutions Expertise
Cross-Functional Collaboration
Enablement & Thought Leadership
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Bachelor’s degree required; technical or business discipline preferred.
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5+ years of experience managing Sales Engineering, Solutions Consulting, or Pre-Sales teams, with a demonstrated track record of building and scaling these functions.
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Background as a practicing Sales Engineer or Solutions Consultant in a prior role — this leader must have earned credibility on the tools before managing them.
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Experience in the FinTech or Payments industry is strongly preferred; familiarity with POS, eCommerce, and mobile payment ecosystems is a significant advantage.
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Proven ability to recruit, develop, and retain top technical talent in a fast-paced, growth-oriented environment.
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Exceptional written and verbal communication skills — able to “tell the platform story” to audiences ranging from technical architects to C-suite executives.
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Strong executive presence with the ability to lead enterprise-level client and partner engagements.
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Proficiency with business tools including Microsoft Office Suite, JIRA, Confluence, SharePoint, and RFP platforms (e.g., Responsive)
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Experience leveraging AI tools, automation platforms, or data-driven systems to improve team productivity, decision-making, or customer experience.
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Demonstrated ability to design and implement scalable processes, systems, or workflows in a high-growth environment.
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Strategic thinker who can balance near-term pipeline execution with longer-term team and process development.
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Highly organized, with the ability to manage competing priorities across multiple deals, projects, and stakeholders simultaneously.
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Experience in a high-growth technology company scaling a pre-sales function from early-stage to enterprise maturity.
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Familiarity with payment gateway integrations, certification processes, and ISV/partner ecosystems.
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Exposure to Salesforce CRM or similar pipeline management tools.
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Experience implementing or working alongside AI/ML-driven solutions in a customer-facing or pre-sales environment.
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Familiarity with automation tools, workflow orchestration, or knowledge management platforms that support scalable go-to-market operations.