21 час назад
Senior Pre-Sales Solutions Engineer (AI Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Pre-Sales Solutions Engineer (AI analytics): Leading technical evaluations, demos, and proofs of concept for an AI analytics platform with an accent on enterprise data, modern data-stack integrations, and consultative customer engagement. Focus on working with real customer data, guiding technical discovery, mentoring Solutions Engineers, and translating field feedback into product direction.
Location: Fully remote, open to candidates based in Singapore
Compensation: OTE SGD 262K–SGD 285K plus equity
Company
is an AI analytics platform that uses a semantic model to provide enterprises with governed context for analytics and AI.
What you will do
- Partner with Sales to uncover technical use cases and demonstrate the value of the platform.
- Lead technical discovery, product demonstrations, Proofs of Concept, and technical evaluations using customer data and environments.
- Enable prospective customers to use successfully and transition trials into successful customer deployments.
- Coordinate with post-sales teams and partners to plan ongoing customer support.
- Mentor junior Solutions Engineers and improve discovery, demo, and POC quality across the regional team.
- Collaborate with Product, Design, and Engineering to provide customer feedback and influence product direction.
Requirements
- 7–10 years of enterprise pre-sales experience in business intelligence or data analytics, focused on acquiring new customers.
- Required experience in B2B SaaS pre-sales, such as Solutions Engineering, Sales Engineering, or Solutions Architecture.
- Deep expertise in the modern data stack, including cloud data warehouses such as Snowflake, BigQuery, Databricks, and Redshift, plus transformation tools such as dbt.
- Experience leading technical discovery, product demonstrations, Proofs of Concept, and evaluations with business and technical stakeholders.
- Strong SQL skills for analytics and consultative communication across technical and non-technical audiences.
Nice to have
- Startup experience.
- Experience with business intelligence and enterprise data analytics tools such as Looker, , Tableau, Power BI, Mode, or Sisense.
Culture & Benefits
- Supportive, collaborative team with extensive experience in the analytics space.
- Health, dental, and vision insurance.
- 401(k) plan for US-based roles.
- Unlimited paid time off.
- Equity participation.
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