TL;DR
Senior Sales Engineer (Data Integrity): Driving technology evaluation and managing the sales process for data integrity solutions with an accent on technical discovery, custom POC development, and stakeholder influence. Focus on building complex multi-cloud solutions, delivering high-impact product demonstrations, and acting as a trusted strategic advisor to enterprise customers.
Location: Must be based in the United States (100% remote)
Company
hirify.global is a global leader in data integrity, helping over 12,000 organizations improve decision-making through specialized software, data enrichment, and strategic services.
What you will do
- Lead technical and business value discovery to identify customer pain points and define effective technical solutions.
- Design and build custom demos, workshops, and proof-of-concepts (POCs) within modern multi-cloud environments like Databricks, Snowflake, AWS, and Azure.
- Act as a trusted advisor to clients on data strategy, digital transformation, and industry best practices.
- Contribute to the internal asset library by documenting and building 5–7 reusable solutions annually.
- Represent the brand as a technical ambassador at industry trade shows and conferences approximately 3–4 times per year.
- Collaborate cross-functionally with sales, product management, and engineering teams to remove barriers to closing sales opportunities.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a relevant engineering discipline.
- 5+ years of professional experience in presales, customer success, product management, or technical engineering roles.
- 4+ years of hands-on development experience using Scala, Python, Java, and Spark frameworks within cloud environments.
- Proven ability to influence technical and operational stakeholders up to the C-suite level.
- Demonstrable expertise in SaaS architecture and cloud computing infrastructure (AWS/Azure).
- Ability to travel approximately 30% of the time for business needs.
Nice to have
- Practical experience with data management tools (Data Quality, Data Governance, MDM).
- Demonstrable experience or knowledge of Generative AI applications.
Culture & Benefits
- Emphasis on a work-from-anywhere culture with distributed teams across 30 countries.
- Commitment to long-term career development, learning, and community building.
- Collaborative environment defined by core values of Openness, Determination, Individuality, and Collaboration.
- Access to opportunities for professional growth within a large, global organization.
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