Senior Sales Engineer

Strategy is a market leader in enterprise analytics and mobility software, transforming organizations through data-driven innovation. The Senior Sales Engineer will play a crucial role in managing existing clients and cultivating prospective clients by securing technical wins through high-quality technical content and tailored demonstrations.

Responsibilities:

• Build and deliver tailored product demos and technical presentations to executives, business users, data teams, and IT
• Clearly communicate the value, differentiation, and architecture of Strategy’s platform versus competing analytics and data solutions
• Lead technical and business conversations with senior IT and business decision makers; confidently handle objections and challenging situations
• Coordinate pre‑ and post‑sales activities with Sales, Product, Engineering, Customer Success, and Professional Services to ensure smooth handoffs and successful implementations
• Partner with Product Management and Engineering to relay customer feedback and influence the product roadmap
• Participate in Strategy’s annual conference and marketing events, representing Strategy as a subject‑matter expert
• Contribute best practices, competitive insights, and reusable assets to the Sales Engineering community

Requirements:

• BS degree and 5+ years of related experience (presales, sales, consulting, marketing, or training)
• Experience with Business Analytics/BI or relational databases a strong plus
• Strong verbal and written communication skills; able to translate technical concepts into business value for all audiences
• Proven ability to solve complex technical problems in complex customer environments
• Excellent organization and time management; experience leading project workstreams
• Successful completion of Strategy certification upon employment
• Ability to travel as needed
• Solid SQL and relational database knowledge
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks, Azure Synapse)
• Experience with ETL/ELT and data integration tools (e.g., dbt, Informatica, Talend, Fivetran, Matillion) or custom pipelines
• Understanding of data modeling (star/snowflake schemas, dimensional modeling) and data governance/security (RBAC, auditing, PII)
• Exceptional presentation and communication skills for C‑level, business, and technical audiences
• Strategic and tactical problem solver with a consultative, customer‑centric mindset
• Comfortable owning outcomes in complex, multi‑stakeholder environments
• Nice‑to‑have: exposure to AWS, Azure, or GCP, and designing architectures that combine analytics platforms with cloud data warehouses/lakes and enterprise systems; familiarity with APIs and integration patterns