SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 180,000 - 0 / annual
Amperity is an AI-first customer data platform that solves the problem of fragmented, inaccurate customer data across enterprise systems. The company has pioneered identity resolution technology and is now rebuilding itself around AI agents that enable brands to act on unified customer insights without engineering bottlenecks. Trusted by 400+ brands including Alaska Airlines, Wyndham Hotels, DICK'S Sporting Goods, and Virgin Atlantic, Amperity was named a Leader by IDC in 2026.
As Senior Sales Director, you will lead enterprise sales efforts for Amperity's suite of products, reporting to the Regional VP of Sales. You will own a named account territory and drive new business growth while managing commercial renewals for existing customers. This is a technical sales role requiring deep expertise in data platforms and the ability to translate complex data architecture capabilities into measurable business outcomes for C-suite and technical buyers.
Key Responsibilities:
- Proactively prospect and build pipeline through targeted outreach and networking; construct and forecast sales activities to achieve revenue targets.
- Define and execute the sales plan for named accounts, cultivating new client relationships and deepening existing ones.
- Leverage consultative selling to understand client needs and architect customized solutions aligned with their business challenges.
- Manage Salesforce pipeline daily, maintaining 3× qualified pipeline coverage and ensuring accurate forecasting and deal documentation.
- Partner cross-functionally with marketing, pre-sales, product, professional services, finance, and legal to create seamless customer experiences.
- Actively engage at the executive level, support contract negotiations, and own deal execution and commercial renewals.
- Build relationships with ecosystem partners (systems integrators like Deloitte and Slalom; cloud providers like AWS, Microsoft, Google; ISVs like Databricks and Snowflake) to expand pipeline and enhance sales effectiveness.
- Identify AI-driven use cases that create meaningful customer outcomes; develop qualified opportunities and share field insights to improve messaging.
- Maintain knowledge of industry trends, competitive landscape, and modern data architectures.
- Use approved AI tools to enhance research, preparation, and follow-through while maintaining interaction quality.
Success Metrics (Year 1):
- Achieve at least 100% of assigned new business and commercial renewal targets with clear visibility into deal risks.
- Maintain ~3× qualified pipeline coverage against remaining new business target.
- Keep strategic opportunities current in Salesforce with documented customer outcomes, decision criteria, stakeholders, and close plans.
- Build relationships across business and technical leaders in priority accounts.
- Generate partner-influenced opportunities and convert field insights into actionable improvements for Sales, Technology, and Marketing.
Requirements:
- 12+ years of experience in technical sales, with deep focus on data platforms in SaaS technology-driven organizations.
- Proven expertise driving revenue growth and exceeding targets in complex, high-growth environments, particularly in data infrastructure, analytics, and AI-driven solutions.
- Mastery of MEDDPICC and technical sales methodologies including solution selling, consultative sales, and architecting customized data platform solutions for enterprise clients.
- Proven ability to build long-term relationships with technical and business stakeholders at all levels, especially C-suite and data-driven executives, translating complex data capabilities into actionable business outcomes.
- Deep technical understanding of modern data architectures, cloud-based data platforms, data lakes, ETL/ELT processes, data warehousing, and advanced analytics tools including AI/ML capabilities.
- Exceptional presentation and communication skills; ability to articulate data platform value to both technical and non-technical audiences through product demonstrations, technical deep dives, and strategic discussions.
- Willingness to travel for client meetings, conferences, and company events.