Braun Board

Solutions Engineer (Senior)

Worth AI · Remote · US

Base
Not disclosed
OTE
Not disclosed
Posted
27d ago

Still open · checked 2h agoon Worth AI's careers page

The job

What you'd do
Act as the technical expert for sales calls, then set up and guide new customers through onboarding. You'll sell to banks and fintech companies of all sizes, and you'll help them win new business and expand with existing customers.
Who you'd sell to
Still reading the posting. Check back within the hour.
Where deals come from
Mostly handed to you: inbound leads or a set list of customers.

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.
Time on market
Open 26 days. Normal, but not fresh.
Company hiring
2 sales roles open, hiring at a steady pace.

Red lights

None spotted.

Green lights

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

Based only on what the posting says. Lights 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.

    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.

  2. 2.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  3. 3.

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

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

  4. 4.

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

    Full quota on day one means you start behind.

  5. 5.

    Is the territory new or existing? Who had it before?

    An existing book is a head start. Greenfield means building from zero.

  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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Full posting
Worth AI is looking for a Senior Solutions Engineer to be a key technical partner throughout the pre-sales and post-sales lifecycle. In this role, you'll bridge the gap between complex customer requirements and Worth's AI-powered KYB, KYC, AML, and identity verification platform working closely with Sales, Customer Success, and Engineering to drive successful outcomes for financial institutions and fintechs of all sizes. Responsibilities - Partner with the sales team as a technical expert during discovery, scoping, and solution design while owning the technical narrative from first call through close. - Lead and deliver tailored product demonstrations and proof-of-concept engagements that map Worth's capabilities directly to a prospect's compliance, onboarding, and underwriting workflows. - Develop and execute detailed implementation plans, timelines, and success criteria for new client deployments, ensuring smooth handoffs and a fast time-to-value. - Serve as the primary technical point of contact during onboarding, coordinating across internal engineering, product, and data teams to resolve integration questions and unblock client teams. - Design and deliver customer training programs and technical documentation to drive platform adoption and self-sufficiency. - Capture and synthesize client feedback post-implementation, partnering with Product to translate real-world use cases into roadmap input. - Collaborate with Customer Success Managers to identify expansion opportunities, close training gaps, and build enablement materials that support long-term account health. - Stay current on FinTech, RegTech, and AI trends particularly in KYB/KYC, AML, fraud detection, and SMB lending and bring that context into client conversations and internal strategy discussions. Requirements - Bachelor's degree in Computer Science, Engineering, or a related field. - 5+ years in a Solutions Engineering, Sales Engineering, or Technical Implementation role within FinTech, RegTech, or a B2B SaaS platform serving financial institutions; startup or high-growth software environment experience is a strong plus. - Hands-on technical skills in SQL, Node.js, and React; comfortable working directly with developer teams on integration scoping, troubleshooting, and technical validation. - Working knowledge of AI technologies and their applications in FinTech; experience with KYB, KYC, AML, or fraud/identity verification workflows is a significant advantage. - Demonstrated ability to lead complex, multi-stakeholder implementations with competing timelines and technical requirements. - Exceptional communication skills able to translate technical concepts clearly for compliance officers, operations leaders, and C-suite stakeholders alike. - Strong problem-solving aptitude and a customer-first mindset; you treat client outcomes as your own. - Proven ability to operate both collaboratively and independently in a fast-paced environment. - Familiarity with project management methodologies and tools (Jira, Monday.com, or similar) Benefits - Health Care Plan (Medical, Dental & Vision) - 401 (k) - Life Insurance - Flexible Paid Time Off - 9 paid Holidays - Work From Home - Free Food & Snacks (for those in Orlando, FL)
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