обновлено 8 дней назад
Lead Sales Engineer (Data Quality)
160 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Sales Engineer (Data Quality): Owning the technical win for major enterprise data quality deals from discovery through architecture, security review, PoC, and close with an accent on enterprise SaaS sales, customer-facing Python and SQL, and technical enablement. Focus on scoping successful PoCs, answering regulated buyers' security requirements, coaching Sales Engineers, and building reusable demos and deal tools.
Location: Remote for US-based candidates; company workplace is hybrid in Brooklyn, New York.
Base salary: $160,000–$180,000 per year.
Company
provides a data quality layer for enterprise customers, helping organizations improve the data that supports AI and business systems.
What you will do
- Own the technical win for major enterprise deals from the first technical call through architecture review, security review, proof of concept, and closed-won.
- Scope proofs of concept against customer success criteria and manage the scope through completion.
- Lead technical and security responses for RFPs, including SOC 2 and information security questions from regulated buyers.
- Onboard and coach US Sales Engineers, including their first demos and readiness for independent customer work.
- Run demo coaching and technical deal reviews, providing direct feedback on performance.
- Build reusable demo environments, PoC templates, and competitive positioning materials.
Requirements
- 6+ years of experience as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company.
- Experience with enterprise deals worth $100K+ ACV, multiple stakeholders, and sales cycles of three months or longer.
- Experience onboarding, coaching, or mentoring other Sales Engineers.
- Fluent in Python and SQL, including the ability to read, write, and debug both in front of customers.
- Strong customer communication skills and the ability to explain complex technical concepts to Data Engineers and CDOs.
- Must be based in the United States.
Nice to have
- Experience selling data quality, data governance, or observability tools.
- Experience selling to regulated industries such as financial services, pharma, energy, or insurance.
- Familiarity with Snowflake, Databricks, BigQuery, dbt, Airflow, or Kafka.
- Interest in progressing toward a management role.
Culture & Benefits
- Direct collaboration with the CRO, Director of Customer Engineering, and product team.
- High-autonomy environment with shifting priorities and limited existing process.
- Opportunity to build enablement materials and reusable sales engineering systems.
- Full-time employees receive equity, PTO, 401(k), and medical insurance.
Hiring process
- 15-minute phone screen with a founder.
- Recorded product demo for a hypothetical customer.
- Deep-dive interview covering a won deal, a lost deal, and PoC scoping.
- Culture-fit discussion with the team.
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