Senior Solutions Engineer – Integrations & AI Deployments
Bounty Amount: $15,000 - 16,500
Company Name: Arist
Role Type: Full-Time
Location: US / New York, NY / Remote (US-based)
Salary / Hourly Rate: $200,000 - $220,000 per year
Benefits: US citizen/visa only,Base salary: $200k–$220k + 0.10% equity (varies with experience)
Role Information
Role Overview: N/A
Responsibilities: Design and implement integrations across HCM, LMS, CRM, and related enterprise systems, Work with REST APIs, webhooks, data pipelines, and integration platforms (e.g., Workato), Ensure deployments are reliable, secure, scalable, and easy for customers to maintain, Act as technical lead for high-impact enterprise go-lives, Expand and harden Arist’s APIs to support repeatable, template-based integrations, Define integration patterns, tooling, documentation, and best practices, Reduce time-to-deployment through reusable frameworks, Partner with product and core engineering to influence roadmap decisions, Work directly with enterprise customers to deploy AI-powered needs analysis, Map required datasets and validate data quality, Design guardrails for AI outputs (accuracy, safety, compliance), Deliver implementations that feel native inside each organization
Qualifications: 6+ years of professional experience in Solutions Engineering, Forward Deployed Engineering, or similar customer-facing technical roles, Proven track record owning complex integrations end-to-end, Experience with APIs, webhooks, ETL/data pipelines, and integration platforms, Strong understanding of REST APIs, authentication (OAuth), and enterprise SaaS architectures, Experience with systems like HCM, LMS, CRM platforms, Familiarity with Rails is a plus (not required), Comfort working with AI/LLM-based systems, Strong communicator across technical and non-technical stakeholders, Experience collaborating with product, engineering, sales, and customer success, Able to balance tactical execution with long-term scalability
Minimum Requirements: 6+ years of software or solutions engineering experience,Demonstrated experience owning enterprise integrations end-to-end,Strong API and data pipeline expertise,Based in the US with existing work authorization,Minimum Requirement: Must be a U.S. Citizen.
Screening Questions: (Optional Video). This step is completely optional. If you’d like, record a short 2–3 minute video introducing yourself and your experience — or share a recording of your interview with the recruiter if that’s easier. You can upload the link via Loom or Google Drive. This just helps us get to know you better, but there’s no pressure if you’d prefer to skip it.,(Optional Portfolio / GitHub) If available, please share a link to your GitHub, portfolio, or any recent projects you’ve worked on. This is entirely optional but helps provide more context about your work.,Describe a complex enterprise integration you’ve owned end-to-end. What systems were involved? How did you design the architecture? What broke, and how did you debug and harden it for production?
Company Information
About Company: N/A
Culture: N/A
Additional Information
Interview Process: Initial Call (30 min) – Founder conversation, Technical Deep Dive (60–75 min) – APIs, integrations, system design, Practical Exercise (60–90 min) – Design an Arist-style integration + AI deployment, Final Round (60–90 min) – Cross-functional conversations (Product, Sales, CS)
Day to day: Designing API integrations and data flows, Working in Workato or equivalent platforms, Running customer discovery calls, Debugging data inconsistencies, Building reusable templates and documentation, Partnering with product to refine integration and AI surfaces
Team: Reports directly to the Co-founder & Chief Product Officer, Partners closely with core engineering, product, sales, and customer success, Foundational member of the Solutions function
Growth: Phase 1 (0–6 months): Execute and streamline existing integrations. Identify bottlenecks and create reusable frameworks.Phase 2 (6–18 months): Own the full Solutions Engineering motion from pre-sale through go-live. Build and lead a small Solutions / Integration team. Become the technical face of complex enterprise deals.
Ideal Candidate Profile: Senior solutions engineer who thrives on complex customer deployments, Equally comfortable reading API docs and presenting to CIOs, Enjoys turning bespoke implementations into scalable systems, Motivated by revenue, retention, and adoption — not just technical output, Excited to help define the Solutions Engineering function at a high-growth AI startup
