About the role
We’re hiring a Senior Solutions Engineer to lead how Arist integrates into customer ecosystems and how those integrations power our AI-driven needs analysis and personalized learning experiences.
This role sits at the intersection of engineering, product, and customers. You’ll work directly with enterprise clients to deploy Arist in a way that feels native to their organization—while also shaping the technical foundations that make those deployments scalable and repeatable.
If you’ve been a principal or lead solutions engineer and are looking for a step up in scope, ownership, and impact, this role is designed for you.
What you’ll do
1. Own deep customer integrations
- Design and implement integrations with core customer systems, including:
- HCM, LMS, CRM, and other source systems
- Current integrations are largely orchestrated through Workato
- Ensure integrations are reliable, scalable, and easy for customers to adopt.
- Act as the technical owner of complex, high-impact deployments.
2. Build and productize our integration surface
- Expand, harden, and shape Arist’s API to support:
- Template-based, repeatable integrations
- Self-serve or partner-led integrations with minimal Arist involvement
- Define patterns, tooling, documentation, and best practices that make integrations faster and more predictable over time.
- Partner with product and core engineering to influence API and platform roadmap decisions.
3. Forward-deployed engineering for AI needs analysis
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Work directly with customers to deploy Arist’s AI needs analysis in real-world organizational contexts.
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Gather and map the right datasets so AI outputs are accurate, safe, and relevant.
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Define and apply guardrails that balance flexibility with trust and data integrity.
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Deliver experiences where customers say:
“This feels native to our organization—and it just works.”
You will report directly to the Co-founder and Chief Product Officer
How the role evolves
Phase 1: Learn, execute, and streamline (0–6 months)
- Go hands-on with existing solutions engineering and integration work for a fast-growing customer base.
- Identify bottlenecks and standardize workflows through:
- Reusable templates
- Integration patterns
- Tooling and documentation
- Help decide whether to:
- Hire a tactical integration engineer, or
- Shift more execution to core engineering
- Begin defining the FDE playbook for AI needs analysis:
- Required data by customer type
- Guardrails and safety considerations
- Recommended integration approaches
Phase 2: Own the motion and build the team (6–18 months)
- Own the full solutions engineering / FDE motion from pre-sale through successful go-live for:
- AI needs analysis deployments
- Core Arist system integrations
- Serve as the technical face of complex enterprise deals.
- Build and lead a scalable solutions engineering / FDE team.
- Create tight feedback loops with product and engineering to turn customer insights into platform improvements.
Why this role is different
- This is not just an execution-heavy solutions engineering role.
- You’ll define the strategy for:
- Integrations
- AI deployment
- Forward-deployed engineering as a function
- You’ll own cross-functional outcomes tied directly to:
- Revenue
- Retention
- Product adoption
- You’ll be a founding leader of the Solutions / FDE function, with the mandate to build both the team and the operating model.
What we’re looking for
- Senior-level experience as a Solutions Engineer, Forward Deployed Engineer, or similar customer-facing technical role.
- Strong background in APIs, integrations, and data pipelines.
- Comfort working directly with customers on ambiguous, high-impact problems.
- Ability to think both tactically (shipping integrations) and strategically (building systems that scale).
- Experience collaborating closely with product, engineering, sales, and customer success.
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