Solutions Engineer
Company shown to members 🔒 · Remote · Location not stated
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 3+ years required
- Where you can live
- Location not stated
- Skills and tools
- sql, python, machine learning, troubleshooting
- Degree or licence
- Mentioned (degree in)
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Job details
- Where you can work
- Location not stated
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- 3+ years required
- Employer publication date
- 12 June 2023
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
The company is a fast-growing AI analytics company headquartered in Reston, Virginia. We are transforming how enterprises interact with their data — moving beyond dashboards and static reports to an always-on, agentic intelligence platform that investigates, reasons, and delivers finished answers autonomously.
Our platform, powered by Kaiya — the company's AI agent — connects to all your enterprise data, automatically investigates what changed and why, and delivers board-ready briefings, memos, and presentations before you even ask. We serve some of the world's most innovative companies, including Novo Nordisk, PepsiCo, Regeneron, AbbVie, and Biogen — helping their teams go from question to decision in minutes, not days.
We are recognized as a Visionary in the Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, and we're just getting started. Our team is built for people who thrive on solving hard problems, moving fast, and building things that matter at enterprise scale.
THE ROLE
The mission for the Solutions Engineer role is to bring technical expertise throughout the the company sales process. This includes engaging at the start of the sales process with technical discovery through a technical Proof of Concept through closing the deal. In addition, this role will play a key part of post-sales project delivery as needed.
Responsibilities
- Serve as the primary client-facing technical resource during sales cycles. Eliminate technical objections and build rapport during every interaction
- Deliver in-depth technical product demos to prospects at all levels within an organization
- Design relevant POV use cases, gain mutual agreement on success criteria, and translate technical success into meaningful business case
- Design architectural overviews for existing and potential customers
- Deliver post-sales engagements successfully on time, while managing scope creep, enhancing customer relationships, and improving account health
- Research and document the offerings of competitors, and position the company’ differentiation in a clear and compelling manner
QUALIFICATIONS
- 3-5 years of experience in software engineering/technical pre-sales, selling Business intelligence (BI) or predictive analytics solutions
- Experience with big data technologies, data modeling, and some knowledge of machine learning – R/Python, SQL or Spark
- World-class analytical and troubleshooting skills
- Strong communication skills and polished presentation skills
- Degree in Computer Science, Mathematics, Statistics or related field
PERSONAL CHARACTERISTICS
- Impeccable follow through: never drops the ball and communicates proactively when timelines need to be pushed
- Thoughtful *and* fast: Understands that speed is a competitive advantage and always strives to hit their goals 10x faster than expected.
- Data-driven: knows what metrics matter and can analyze them
- Hustles: Creative ability to get deals closed against all odds
- Customer obsessed: laser focused on providing value
Note: This role is only open to candidates currently residing in and authorized to work in the United States.
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