Head of Sales Engineering

Snowplow is the global leader in behavioral data for AI, enabling digital-first companies to unlock the full value of their behavioral data and transform a proprietary customer intelligence asset into a source of competitive advantage.
Data teams rely on Snowplow to securely collect, process, and deliver event-level data to their platform, while digital product and engineering teams use Snowplow to integrate deep customer context into their ML and agentic applicationsall in real time.
Companies like Strava, HelloFresh, Auto Trader, Burberry, and FanDuel trust Snowplow to power real-time advanced analytics, predictive modeling, hyper-personalization, and customer-facing AI agent context.
As the Director of Sales Engineering, you will lead a high-performing, global team of Sales Engineers while remaining deeply handson as a technical contributor. Lead, mentor, and develop a team of Sales Engineers across the US and EMEA.
Establish and refine bestinclass Sales Engineering practices, processes, and playbooks.
Serve as a technical and strategic escalation point for complex evaluations and enterprise opportunities.
Partner closely with Sales Leadership, Product, Engineering, and Marketing to align Snowplows technical narrative with market needs and evolving buyer priorities.
Collaborate closely with PostSales Technical Services to deliver strong commercial value from customer acquisition through to product adoption.
Contribute to competitive strategy with clear, opinionated perspectives on Snowplows strengths and areas for improvement relative to key players in the CDI, CDP, and realtime intelligence markets.
HandsOn Sales Engineering
Be passionate about realtime ecosystems and work alongside Account Executives, particularly on strategic enterprise accounts and complex opportunities.
Demonstrate the value of Snowplows CDI and Signals capabilities through technical demos, notebooks, prototypes, and data assets.
Qualify opportunities, identify customer use cases, and architect solutions across industry verticals such as retail, media, digital products, and financial services.
Work with PostSales Technical Services to standardize field code and industry solutions which support the customer journey from PoC through to production.
Act as a trusted advisor to senior technical stakeholders including CTOs, Heads of Data, data engineers, analysts, data scientists, and product leaders.

10+ years of Sales Engineering or equivalent technical presales experience, including at least 5 years managing Sales Engineering teams.
~ A strong datacentric background, with handson experience in areas such as data engineering, cloud architectures, behavioral data, streaming systems, or machine learning pipelines.
~ Comfortable in Python and experience developing and presenting analyses using Jupyter Notebooks.
~ Familiarity with modern cloud data platforms, data warehouses, data modeling, and realtime data processing.
~ Experience with composable software ecosystems, systems integration and headless or APIdriven architectures, e.g. Experience with realtime data processing technologies such as Kafka or similar streaming platforms is highly desirable.
~ Highly organized, disciplined, and capable of managing multiple priorities across regions and product lines.

MacBook and home office equipment allowance
#Short & long term disability insurance
Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.