You will operate as a strategic partner to senior executives across the business, technology, and risk organisations, helping them reimagine core workflows through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity.
You will own the full customer lifecycle – from origination through close, deployment, and expansion – while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs.
Key responsibilities include:
- Owning and expanding relationships with the largest financial services institutions, focusing on high-impact, multi-year AI transformations
- Selling agentic AI solutions by mapping Scale's capabilities to mission-critical workflows
- Building trusted relationships with executive stakeholders and guiding enterprise AI strategy
- Developing and executing multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption
- Leading complex deal cycles, including business case development, ROI modelling, and mutual close plans
- Partnering deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments
- Navigating regulatory, security, and procurement processes unique to financial services environments
- Acting as the voice of the customer internally, informing product roadmap, agent design, and vertical-specific solutions
Ideal candidates will have:
- 8–12+ years of enterprise sales experience, with significant focus on financial services
- Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments
- Experience selling AI/ML, data platforms, or workflow automation technologies
- Deep understanding of financial services workflows and how technology transforms them
- Demonstrated success engaging and influencing executive stakeholders
Nice to haves include experience selling agentic AI, LLM platforms, or automation solutions into financial services, background working with or alongside risk, compliance, or data organisations, familiarity with regulatory considerations, and prior experience in high-growth or emerging technology environments.
Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors. Employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
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