Braun Board

Senior Solution Engineer - Global Accounts

Snowflake · Hybrid · London, UK

Base
Not disclosed
OTE
Not disclosed
Posted
3mo ago

Still open · checked 3h agoon Snowflake's careers page

What Snowflake sells

One place for company data and AI tools

A company's data often sits in many separate systems, so nobody can see the whole picture. Snowflake gives that data one shared home where it can be stored and studied. Teams can then ask questions of their data and build AI tools right on top of it.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay
No pay listed at all.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
Mostly inbound or an assigned book.
Time on market
Open 109 days. Ask why it's been hard to fill.
Company hiring
41 sales roles open, hiring at a steady pace. Ask how many reps they hired last year and how many are still there.

Red flags

None spotted.

Worth asking about

  • Open 90+ days. This role has been posted for three months or more. Ask why it's been hard to fill, and whether anyone left it.

Green flags

  • SDR or inbound support. You won't be building all of your own pipeline from zero.

Based only on what the posting says. Flags are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    This role has been open a while. What's made it hard to fill?

    The answer tells you what candidates saw that made them walk.

  2. 2.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  3. 3.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  4. 4.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  5. 5.

    How long is ramp, and what's the quota during it?

    Full quota on day one means you start behind.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

Josh's top five questions for any sales interview →

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The role

Named-account technical pre-sales role owning one global financial institution end to end: discovery, PoCs, demos, and expansion of Snowflake use cases like risk, regulatory data, and fraud, working alongside the AE.

Strategic · Mixed · Inbound

Selling motion

Mixed

Who you're selling to

Buyer:
CTOs, CDOs and engineering leaders at financial institutionsIn their words: “act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account”
Industry:
Financial servicesIn their words: “a single global financial institution across capital markets, banking, insurance, or asset management”
Company size:
Strategic

Pipeline expectations

Mostly inbound or an assigned book of business.

Compensation

The posting doesn't list pay.

What is not disclosed

This posting doesn't tell you:

  • Base salary
  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: - Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion - Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers - Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments - Act as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake solutions - Partner closely with the Account Executive and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across every active opportunity - Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption - Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE: - 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services customers - Deep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence - Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live - Proficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent) - Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutions - Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts - Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI context BONUS POINTS FOR THE FOLLOWING: - Direct experience working within or selling to capital markets firms, tier-1 banks, insurers, or global asset managers - Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps - Familiarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop) - Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environments - Background in data mesh, data product design, or enterprise data governance frameworks relevant to FSI compliance requirements Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
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