обновлено 5 дней назад
Solutions Engineer (SaaS Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Engineer (SaaS analytics): Developing bespoke demos, proofs of concept, and data trials that connect location intelligence to complex customer business questions with an accent on data analysis, technical validation, and ROI-focused storytelling. Focus on validating data accuracy, shaping technical sales strategies for enterprise accounts, and translating customer requirements into product roadmap improvements.
Location: United States, Remote; travel required 35% of the time for customer meetings.
Annualized total on-target earnings: $140,000–$155,000 USD, including base salary and bonus target.
Company
Location analytics platform providing data on physical locations, markets, and consumer behavior for businesses, governments, and nonprofits.
What you will do
- Lead bespoke product demonstrations, proofs of concept, and data trials for strategic accounts.
- Translate discovery findings into ROI-focused narratives for executive and technical stakeholders.
- Partner with Sales on account planning and technical strategy for high-value opportunities.
- Validate data accuracy and methodology against customer business environments.
- Support post-sale enablement so customers can independently achieve and showcase results.
- Initiate discussions about product features and roadmap improvements.
Requirements
- Bachelor’s degree.
- At least 3 years of experience in a sales support role such as Solutions Engineer and in a SaaS company.
- At least 2 years of data analytics experience using tools such as R, Python, SQL, Tableau, Data Studio, GIS tools, or similar BI platforms.
- Strong knowledge of statistics and familiarity with data science concepts.
- At least 2 years of client-facing experience and experience working with cross-functional teams.
- Strong interpersonal skills and a collaborative working style.
Nice to have
- Proficiency in multiple data analytics or BI tools.
- Familiarity with data science language and concepts.
Culture & Benefits
- Fully remote work environment.
- Opportunity to contribute to a new market and product direction.
- Medical, dental, and vision coverage.
- Flexible time off, 401(k), and equity awards for eligible roles.
- Collaborative environment with experienced colleagues.
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