Senior Pre-Sales Solutions Engineer
This pre-sales solutions engineer will support EMEA opportunities through technical discovery, solution design, demonstrations, and complex-deal strategy. The role requires at least three years of customer-facing technical experience and hands-on familiarity with AI, data science, or data engineering workflows.
About the job
Responsibilities
- Lead technical discovery and solution design conversations with prospects and existing customers across EMEA sales cycles.
- Deliver product demonstrations connecting the AI and data science platform to customer business challenges and technical requirements.
- Partner with account executives on strategies for complex deals and competitive evaluations.
- Create reusable demonstration environments, videos, and technical content to accelerate deal velocity and support regional marketing.
- Share EMEA customer feedback with product and engineering teams to influence roadmap priorities and identify prototype or proof-of-concept opportunities.
- Collaborate with sales, customer success, support, marketing, and product teams from evaluation through implementation.
- Manage multiple concurrent opportunities, prioritizing active deals, customer relationships, and internal collaboration.
Requirements
- 3+ years of customer-facing experience in solutions engineering, sales engineering, technical consulting, customer success, or similar technical roles.
- Hands-on experience with tools and workflows in AI, data science, or data engineering.
- Ability to demonstrate technical concepts and understand customer architectures.
- Based in EMEA and able to work across regional time zones, with occasional customer-site travel.
- Ability to translate complex technical capabilities into clear business value for practitioners and executives.
- Experience managing multiple stakeholder relationships and prioritizing work independently.
Nice-to-haves
- Experience as a data scientist, machine learning engineer, or data engineer.
- Startup experience in a fast-paced, changing environment.
- Experience with open-source tools or open-source communities.
- Consulting or other customer-facing experience involving unfamiliar technical domains.
- Familiarity with Anaconda or similar Python ecosystem platforms for data science and AI development.
Compensation and Benefits
- Base salary plus a comprehensive benefits package.
- Office setup reimbursement.
- Monthly productivity stipend.
- Learning and Development reimbursement.
- Open vacation policy.
- Public holidays.
- Quarterly company-wide extra day off (“Snake Days”).
- Fully remote setup with flexible hours.
Skills
AI, Data Science, Data Engineering, Python, Machine Learning, Open Source, Technical Discovery, Solution Design, Product Demos
Similar jobs
Sales Engineering jobsPartner with go-to-market teams to scope and demonstrate fund administration solutions for investment firms. The role requires a qualified accountant with 7+ years of experience, strong knowledge of private capital fund operations, and excellent stakeholder communication skills.
Senior Solutions Engineer supporting Auth0 customers across the UK&I, partnering with sales to lead technical discovery, demonstrations, proofs of concept, and deal progression. Requires pre-sales experience, strong development skills, identity protocol knowledge, and customer-facing communication ability.
This client-facing pre-sales role leads enterprise discovery, product demonstrations, trials, proofs of concept, and implementation planning for crypto, fintech, and regtech customers. It requires 5+ years in solution consulting or sales engineering, crypto compliance expertise, API integration experience, and fluency in French, Spanish, or Italian.
Leads customer-facing technical discovery, solution design, proofs of concept, and platform demonstrations across data engineering, analytics, and machine learning. Requires 4+ years of relevant experience, strong Python and SQL skills, public-cloud implementation experience, and effective technical presentation abilities.
Leads customer-facing technical discovery, solution design, proofs of concept, and demonstrations for data, analytics, and machine-learning workloads on Databricks. Requires 4+ years of relevant experience, strong Python and SQL skills, cloud data-platform expertise, and technical presentation ability.