Senior Sales Engineer, Data Products

Location: Remote - US

Base salary: $125,000–$160,000 USD annually

Company

hirify.global provides software for autism and IDD care, Applied Behavior Analysis, multidisciplinary therapy, and special education. The Data Products team operates as a startup within hirify.global.

What you will do

• Own the technical portion of the sales process from discovery through technical validation and close.
• Partner with Account Managers and Account Executives on account strategy, qualification, deal planning, and stakeholder management.
• Evaluate the customer base, identify product readiness, and build target lists with Account Managers.
• Lead technical discovery and design solutions across Advanced BI, data warehouses, APIs, and benchmarking.
• Deliver tailored demos, scope proofs of concept, define success criteria, and drive evaluations to a decision.
• Build ROI and TCO business cases, handle architecture and security objections, create reusable sales collateral, and provide structured feedback to Product and Engineering.

Requirements

• 5+ years of experience in sales engineering, solutions consulting, or pre-sales architecture supporting a technical B2B product in data infrastructure, analytics, developer tools, observability, or enterprise AI.
• Track record of evaluations ending in a decision and technically won deals.
• Experience selling to data and engineering leaders alongside CEOs, CFOs, and COOs.
• Exceptional written and verbal communication, including explaining complex methodology to non-technical executives without losing precision.
• Comfort working in a team that is still building its processes, with a bias toward action.
• Willingness to disqualify opportunities and challenge weak requirements before scoping evaluations.
• Understanding of how architecture and delivery decisions affect pricing, packaging, renewals, and consumption-based models.
• Working knowledge of modern data architecture, including warehouses, databases, APIs, cloud infrastructure, and pipelines.
• Understanding of data governance, de-identification, suppression, entitlements, and audit requirements for externally facing analytics.
• Enough architecture depth to hold a credible conversation with an established head of data without unnecessary complexity.
• Use of AI tooling such as LLMs, code copilots, and semantic search as a core part of the workflow.

Nice to have

• Experience at a data, analytics, cloud, infrastructure, or observability company.
• Familiarity with Snowflake, Databricks, dbt, or Looker.
• Experience with enterprise security review, procurement, and technical diligence.
• Experience joining or helping build an early sales engineering organization or selling an emerging category where customer education is part of the sales cycle.
• Healthcare data exposure, including claims, quality measures, or de-identification standards.

Culture & Benefits

• Remote US role within a hybrid company with collaborative offices in Fort Lauderdale, Florida; Holmdel, New Jersey; and Verona, Italy.
• Full-time employees receive health benefits, generous PTO, 401(k) matching, and paid parental leave.
• Hybrid work schedules, career development support, and wellness programs are available.
• Culture emphasizes impact, inclusion, flexibility, and community engagement.